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https://api.github.com/repos/huggingface/datasets/issues/7472 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7472/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7472/comments | https://api.github.com/repos/huggingface/datasets/issues/7472/events | https://github.com/huggingface/datasets/issues/7472 | 2,937,607,272 | I_kwDODunzps6vGFRo | 7,472 | Label casting during `map` process is canceled after the `map` process | {
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"Hi ! By default `map()` tries to keep the types of each column of the dataset, so here it reuses the int type since all your float values can be converted to integers. But I agree it would be nice to store float values as float values and don't try to reuse the same type in this case.\n\nIn the meantime, you can e... | 2025-03-21T07:56:22Z | 2025-04-10T05:11:15Z | 2025-04-10T05:11:14Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
When preprocessing a multi-label dataset, I introduced a step to convert int labels to float labels as [BCEWithLogitsLoss](https://pytorch.org/docs/stable/generated/torch.nn.BCEWithLogitsLoss.html) expects float labels and forward function of models in transformers package internally use `BCEWithL... | {
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https://api.github.com/repos/huggingface/datasets/issues/7471 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7471/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7471/comments | https://api.github.com/repos/huggingface/datasets/issues/7471/events | https://github.com/huggingface/datasets/issues/7471 | 2,937,530,069 | I_kwDODunzps6vFybV | 7,471 | Adding argument to `_get_data_files_patterns` | {
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"Hi ! The pattern can be specified in advance in YAML in the README.md of the dataset :)\n\nFor example\n\n```\n---\nconfigs:\n- config_name: default\n data_files:\n - split: train\n path: \"train/*\"\n - split: test\n path: \"test/*\"\n---\n```\n\nSee the docs at https://huggingface.co/docs/hub/en/dataset... | 2025-03-21T07:17:53Z | 2025-03-27T12:30:52Z | 2025-03-26T07:26:27Z | NONE | null | null | null | null | ### Feature request
How about adding if the user already know about the pattern?
https://github.com/huggingface/datasets/blob/a256b85cbc67aa3f0e75d32d6586afc507cf535b/src/datasets/data_files.py#L252
### Motivation
While using this load_dataset people might use 10M of images for the local files.
However, due to sear... | {
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https://api.github.com/repos/huggingface/datasets/issues/7470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7470/comments | https://api.github.com/repos/huggingface/datasets/issues/7470/events | https://github.com/huggingface/datasets/issues/7470 | 2,937,236,323 | I_kwDODunzps6vEqtj | 7,470 | Is it possible to shard a single-sharded IterableDataset? | {
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"Hi ! Maybe you can look for an option in your dataset to partition your data based on a deterministic filter ? For example each worker could stream the data based on `row.id % num_shards` or something like that ?",
"So the recommendation is to start out with multiple shards initially and re-sharding after is not... | 2025-03-21T04:33:37Z | 2025-05-09T22:51:46Z | 2025-03-26T06:49:28Z | NONE | null | null | null | null | I thought https://github.com/huggingface/datasets/pull/7252 might be applicable but looking at it maybe not.
Say we have a process, eg. a database query, that can return data in slightly different order each time. So, the initial query needs to be run by a single thread (not to mention running multiple times incurs mo... | {
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https://api.github.com/repos/huggingface/datasets/issues/7469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7469/comments | https://api.github.com/repos/huggingface/datasets/issues/7469/events | https://github.com/huggingface/datasets/issues/7469 | 2,936,606,080 | I_kwDODunzps6vCQ2A | 7,469 | Custom split name with the web interface | {
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According the doc here: https://huggingface.co/docs/hub/datasets-file-names-and-splits#custom-split-name
it should infer the split name from the subdir of data or the beg of the name of the files in data.
When doing this manually through web upload it does not work. it uses "train" as a unique spl... | {
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https://api.github.com/repos/huggingface/datasets/issues/7468 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7468/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7468/comments | https://api.github.com/repos/huggingface/datasets/issues/7468/events | https://github.com/huggingface/datasets/issues/7468 | 2,934,094,103 | I_kwDODunzps6u4rkX | 7,468 | function `load_dataset` can't solve folder path with regex characters like "[]" | {
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"Hi ! Have you tried escaping the glob special characters `[` and `]` ?\n\nbtw note that`AbstractFileSystem.glob` doesn't support regex, instead it supports glob patterns as in the python library [glob](https://docs.python.org/3/library/glob.html)\n"
] | 2025-03-20T05:21:59Z | 2025-03-25T10:18:12Z | null | NONE | null | null | null | null | ### Describe the bug
When using the `load_dataset` function with a folder path containing regex special characters (such as "[]"), the issue occurs due to how the path is handled in the `resolve_pattern` function. This function passes the unprocessed path directly to `AbstractFileSystem.glob`, which supports regular e... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7467 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7467/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7467/comments | https://api.github.com/repos/huggingface/datasets/issues/7467/events | https://github.com/huggingface/datasets/issues/7467 | 2,930,067,107 | I_kwDODunzps6upUaj | 7,467 | load_dataset with streaming hangs on parquet datasets | {
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"Hi ! The issue comes from `pyarrow`, I reported it here: https://github.com/apache/arrow/issues/45214 (feel free to comment / thumb up).\n\nAlternatively we can try to find something else than `ParquetFileFragment.to_batches()` to iterate on Parquet data and keep the option the pass `filters=`..."
] | 2025-03-18T23:33:54Z | 2025-03-25T10:28:04Z | null | NONE | null | null | null | null | ### Describe the bug
When I try to load a dataset with parquet files (e.g. "bigcode/the-stack") the dataset loads, but python interpreter can't exit and hangs
### Steps to reproduce the bug
```python3
import datasets
print('Start')
dataset = datasets.load_dataset("bigcode/the-stack", data_dir="data/yaml", streaming... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7461 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7461/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7461/comments | https://api.github.com/repos/huggingface/datasets/issues/7461/events | https://github.com/huggingface/datasets/issues/7461 | 2,925,608,123 | I_kwDODunzps6uYTy7 | 7,461 | List of images behave differently on IterableDataset and Dataset | {
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"Hi ! Can you try with `datasets` ^3.4 released recently ? on my side it works with IterableDataset on the recent version :)\n\n```python\nIn [20]: def train_iterable_gen():\n ...: images = np.array(load_image(\"https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg\")... | 2025-03-17T15:59:23Z | 2025-03-18T08:57:17Z | 2025-03-18T08:57:16Z | NONE | null | null | null | null | ### Describe the bug
This code:
```python
def train_iterable_gen():
images = np.array(load_image("https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg").resize((128, 128)))
yield {
"images": np.expand_dims(images, axis=0),
"messages": [
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https://api.github.com/repos/huggingface/datasets/issues/7458 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7458/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7458/comments | https://api.github.com/repos/huggingface/datasets/issues/7458/events | https://github.com/huggingface/datasets/issues/7458 | 2,925,403,528 | I_kwDODunzps6uXh2I | 7,458 | Loading the `laion/filtered-wit` dataset in streaming mode fails on v3.4.0 | {
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"thanks for reporting, I released 3.4.1 with a fix"
] | 2025-03-17T14:54:02Z | 2025-03-17T16:02:04Z | 2025-03-17T15:25:55Z | NONE | null | null | null | null | ### Describe the bug
Loading https://huggingface.co/datasets/laion/filtered-wit in streaming mode fails after update to `datasets==3.4.0`. The dataset loads fine on v3.3.2.
### Steps to reproduce the bug
Steps to reproduce:
```
pip install datastes==3.4.0
python -c "from datasets import load_dataset; load_dataset('l... | {
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https://api.github.com/repos/huggingface/datasets/issues/7457 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7457/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7457/comments | https://api.github.com/repos/huggingface/datasets/issues/7457/events | https://github.com/huggingface/datasets/issues/7457 | 2,924,886,467 | I_kwDODunzps6uVjnD | 7,457 | Document the HF_DATASETS_CACHE env variable | {
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"Strongly agree to this, in addition, I am also suffering to change the cache location similar to other issues (since I changed the environmental variables).\nhttps://github.com/huggingface/datasets/issues/6886",
"`HF_DATASETS_CACHE` should be documented there indeed, feel free to open a PR :) ",
"Hey, I’d love... | 2025-03-17T12:24:50Z | 2025-05-06T15:54:39Z | 2025-05-06T15:54:39Z | NONE | null | null | null | null | ### Feature request
Hello,
I have a use case where my team is sharing models and dataset in shared directory to avoid duplication.
I noticed that the [cache documentation for datasets](https://huggingface.co/docs/datasets/main/en/cache) only mention the `HF_HOME` environment variable but never the `HF_DATASETS_CACHE`... | {
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https://api.github.com/repos/huggingface/datasets/issues/7456 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7456/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7456/comments | https://api.github.com/repos/huggingface/datasets/issues/7456/events | https://github.com/huggingface/datasets/issues/7456 | 2,922,676,278 | I_kwDODunzps6uNIA2 | 7,456 | .add_faiss_index and .add_elasticsearch_index returns ImportError at Google Colab | {
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"I can fix this.\nIt's mainly because faiss-gpu requires python<=3.10 but the default python version in colab is 3.11. We just have to downgrade the CPython version down to 3.10 and it should work fine.\n",
"I think I just had no chance to meet with faiss-cpu.\nIt could be import problem? \n_has_faiss gets its va... | 2025-03-16T00:51:49Z | 2025-03-17T15:57:19Z | null | NONE | null | null | null | null | ### Describe the bug
At Google Colab
```!pip install faiss-cpu``` works
```import faiss``` no error
but
```embeddings_dataset.add_faiss_index(column='embeddings')```
returns
```
[/usr/local/lib/python3.11/dist-packages/datasets/search.py](https://localhost:8080/#) in init(self, device, string_factory, metric_type, cus... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7455 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7455/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7455/comments | https://api.github.com/repos/huggingface/datasets/issues/7455/events | https://github.com/huggingface/datasets/issues/7455 | 2,921,933,250 | I_kwDODunzps6uKSnC | 7,455 | Problems with local dataset after upgrade from 3.3.2 to 3.4.0 | {
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"Hi ! I just released 3.4.1 with a fix, let me know if it's working now !"
] | 2025-03-15T09:22:50Z | 2025-03-17T16:20:43Z | null | NONE | null | null | null | null | ### Describe the bug
I was not able to open a local saved dataset anymore that was created using an older datasets version after the upgrade yesterday from datasets 3.3.2 to 3.4.0
The traceback is
```
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/arrow/... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7449 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7449/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7449/comments | https://api.github.com/repos/huggingface/datasets/issues/7449/events | https://github.com/huggingface/datasets/issues/7449 | 2,916,235,092 | I_kwDODunzps6t0jdU | 7,449 | Cannot load data with different schemas from different parquet files | {
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"Hi ! `load_dataset` expects all the data_files to have the same schema.\n\nMaybe you can try enforcing certain `features` using:\n\n```python\nfeatures = Features({\"conversations\": {'content': Value('string'), 'role': Value('string',)}})\nds = load_dataset(..., features=features)\n```",
"Thanks! It works if I ... | 2025-03-13T08:14:49Z | 2025-03-17T07:27:48Z | 2025-03-17T07:27:46Z | NONE | null | null | null | null | ### Describe the bug
Cannot load samples with optional fields from different files. The schema cannot be correctly derived.
### Steps to reproduce the bug
When I place two samples with an optional field `some_extra_field` within a single parquet file, it can be loaded via `load_dataset`.
```python
import pandas as ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7448 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7448/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7448/comments | https://api.github.com/repos/huggingface/datasets/issues/7448/events | https://github.com/huggingface/datasets/issues/7448 | 2,916,025,762 | I_kwDODunzps6tzwWi | 7,448 | `datasets.disable_caching` doesn't work | {
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"cc",
"Yes I have the same issue. It's a confusingly named function. See [here](https://github.com/huggingface/datasets/blob/main/src/datasets/fingerprint.py#L115-L130)\n\n```\n...\nIf disabled, the library will no longer reload cached datasets files when applying transforms to the datasets.\n More precisely... | 2025-03-13T06:40:12Z | 2025-03-22T04:37:07Z | null | NONE | null | null | null | null | When I use `Dataset.from_generator(my_gen)` to load my dataset, it simply skips my changes to the generator function.
I tried `datasets.disable_caching`, but it doesn't work! | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7447 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7447/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7447/comments | https://api.github.com/repos/huggingface/datasets/issues/7447/events | https://github.com/huggingface/datasets/issues/7447 | 2,915,233,248 | I_kwDODunzps6twu3g | 7,447 | Epochs shortened after resuming mid-epoch with Iterable dataset+StatefulDataloader(persistent_workers=True) | {
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"Thanks for reporting ! Maybe we should store the epoch in the state_dict, and then when the dataset is iterated on again after setting a new epoch it should restart from scratch instead of resuming ? wdyt ?",
"But why does this only happen when `persistent_workers=True`? I would expect it to work correctly even ... | 2025-03-12T21:41:05Z | 2025-07-09T23:04:57Z | 2025-03-14T10:50:10Z | NONE | null | null | null | null | ### Describe the bug
When `torchdata.stateful_dataloader.StatefulDataloader(persistent_workers=True)` the epochs after resuming only iterate through the examples that were left in the epoch when the training was interrupted. For example, in the script below training is interrupted on step 124 (epoch 1) when 3 batches ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7446 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7446/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7446/comments | https://api.github.com/repos/huggingface/datasets/issues/7446/events | https://github.com/huggingface/datasets/issues/7446 | 2,913,050,552 | I_kwDODunzps6toZ-4 | 7,446 | pyarrow.lib.ArrowTypeError: Expected dict key of type str or bytes, got 'int' | {
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"I think the Counter object you used in 'labels' may be the issue, since the {2:1} inside is the dict and 2 is the int",
"> I think the Counter object you used in 'labels' may be the issue, since the {2:1} inside is the dict and 2 is the int我认为您在 'labels' 中使用的 Counter 对象可能是问题所在，因为里面的 {2：1} 是 dict，而 2 是 int\n\nYes... | 2025-03-12T07:48:37Z | 2025-07-04T05:14:45Z | 2025-07-04T05:14:45Z | NONE | null | null | null | null | ### Describe the bug
A dict with its keys are all str but get following error
```python
test_data=[{'input_ids':[1,2,3],'labels':[[Counter({2:1})]]}]
dataset = datasets.Dataset.from_list(test_data)
```
```bash
pyarrow.lib.ArrowTypeError: Expected dict key of type str or bytes, got 'int'
```
### Steps to reproduce the... | {
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https://api.github.com/repos/huggingface/datasets/issues/7444 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7444/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7444/comments | https://api.github.com/repos/huggingface/datasets/issues/7444/events | https://github.com/huggingface/datasets/issues/7444 | 2,911,202,445 | I_kwDODunzps6thWyN | 7,444 | Excessive warnings when resuming an IterableDataset+buffered shuffle+DDP. | {
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"I had a similar issue when loading the saved iterable dataset state to fast-forward to the mid-train location before resuming. This happened when I shuffled a concatenated dataset. A `iterable_data_state_dict.json` file was saved during checkpointing in the Trainer with:\n```\ndef _save_rng_state(self, output_dir)... | 2025-03-11T16:34:39Z | 2025-05-13T09:41:03Z | null | NONE | null | null | null | null | ### Describe the bug
I have a large dataset that I shared into 1024 shards and save on the disk during pre-processing. During training, I load the dataset using load_from_disk() and convert it into an iterable dataset, shuffle it and split the shards to different DDP nodes using the recommended method.
However, when ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7443 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7443/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7443/comments | https://api.github.com/repos/huggingface/datasets/issues/7443/events | https://github.com/huggingface/datasets/issues/7443 | 2,908,585,656 | I_kwDODunzps6tXX64 | 7,443 | index error when num_shards > len(dataset) | {
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"Actually, looking at the code a bit more carefully, maybe an even better solution is to explicitly set `num_shards=len(self)` somewhere inside both `push_to_hub()` and `save_to_disk()` when these functions are invoked with `num_shards > len(dataset)`."
] | 2025-03-10T22:40:59Z | 2025-03-10T23:43:08Z | null | NONE | null | null | null | null | In `ds.push_to_hub()` and `ds.save_to_disk()`, `num_shards` must be smaller than or equal to the number of rows in the dataset, but currently this is not checked anywhere inside these functions. Attempting to invoke these functions with `num_shards > len(dataset)` should raise an informative `ValueError`.
I frequently... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7442 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7442/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7442/comments | https://api.github.com/repos/huggingface/datasets/issues/7442/events | https://github.com/huggingface/datasets/issues/7442 | 2,905,543,017 | I_kwDODunzps6tLxFp | 7,442 | Flexible Loader | {
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"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
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"Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?",
"> Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?\n\nThat would be perfect if not at least a flexible loader.",
"@lhoestq For now, you can use this small utility library: [nanoml](https://... | 2025-03-09T16:55:03Z | 2025-03-27T23:58:17Z | null | NONE | null | null | null | null | ### Feature request
Can we have a utility function that will use `load_from_disk` when given the local path and `load_dataset` if given an HF dataset?
It can be something as simple as this one:
```
def load_hf_dataset(path_or_name):
if os.path.exists(path_or_name):
return load_from_disk(path_or_name)
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https://api.github.com/repos/huggingface/datasets/issues/7441 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7441/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7441/comments | https://api.github.com/repos/huggingface/datasets/issues/7441/events | https://github.com/huggingface/datasets/issues/7441 | 2,904,702,329 | I_kwDODunzps6tIj15 | 7,441 | `drop_last_batch` does not drop the last batch using IterableDataset + interleave_datasets + multi_worker | {
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"Hi @memray, I’d like to help fix the issue with `drop_last_batch` not working when `num_workers > 1`. I’ll investigate and propose a solution. Thanks!\n",
"Thank you very much for offering to help! I also noticed a problem related to a previous issue and left a comment [here](https://github.com/huggingface/datas... | 2025-03-08T10:28:44Z | 2025-03-09T21:27:33Z | null | NONE | null | null | null | null | ### Describe the bug
See the script below
`drop_last_batch=True` is defined using map() for each dataset.
The last batch for each dataset is expected to be dropped, id 21-25.
The code behaves as expected when num_workers=0 or 1.
When using num_workers>1, 'a-11', 'b-11', 'a-12', 'b-12' are gone and instead 21 and 22 a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7440 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7440/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7440/comments | https://api.github.com/repos/huggingface/datasets/issues/7440/events | https://github.com/huggingface/datasets/issues/7440 | 2,903,740,662 | I_kwDODunzps6tE5D2 | 7,440 | IterableDataset raises FileNotFoundError instead of retrying | {
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"I have since been training more models with identical architectures over the same dataset, and it is completely unstable. One has now failed at chunk9/1215, whilst others have gotten past that.\n```python\nFileNotFoundError: zstd://example_train_1215.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d55119... | 2025-03-07T19:14:18Z | 2025-07-22T08:15:44Z | null | NONE | null | null | null | null | ### Describe the bug
In https://github.com/huggingface/datasets/issues/6843 it was noted that the streaming feature of `datasets` is highly susceptible to outages and doesn't back off for long (or even *at all*).
I was training a model while streaming SlimPajama and training crashed with a `FileNotFoundError`. I can ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7433 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7433/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7433/comments | https://api.github.com/repos/huggingface/datasets/issues/7433/events | https://github.com/huggingface/datasets/issues/7433 | 2,890,240,400 | I_kwDODunzps6sRZGQ | 7,433 | `Dataset.map` ignores existing caches and remaps when ran with different `num_proc` | {
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"This feels related: https://github.com/huggingface/datasets/issues/3044",
"@lhoestq This comment specifically, I agree:\n\n* https://github.com/huggingface/datasets/issues/3044#issuecomment-1239877570\n\n> Almost a year later and I'm in a similar boat. Using custom fingerprints and when using multiprocessing the... | 2025-03-03T05:51:26Z | 2025-05-12T15:14:09Z | 2025-05-12T15:14:09Z | NONE | null | null | null | null | ### Describe the bug
If you `map` a dataset and save it to a specific `cache_file_name` with a specific `num_proc`, and then call map again with that same existing `cache_file_name` but a different `num_proc`, the dataset will be re-mapped.
### Steps to reproduce the bug
1. Download a dataset
```python
import datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/7431 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7431/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7431/comments | https://api.github.com/repos/huggingface/datasets/issues/7431/events | https://github.com/huggingface/datasets/issues/7431 | 2,887,244,074 | I_kwDODunzps6sF9kq | 7,431 | Issues with large Datasets | {
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"what's the error message ?",
"This was the final error message that it was giving pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0",
"Here is the list of errors:\n\nTraceback (most recent call last):\n File \".venv/lib/python3.12/site-packages/datasets/packaged_modul... | 2025-02-28T14:05:22Z | 2025-03-04T15:02:26Z | null | NONE | null | null | null | null | ### Describe the bug
If the coco annotation file is too large the dataset will not be able to load it, not entirely sure were the issue is but I am guessing it is due to the code trying to load it all as one line into a dataframe. This was for object detections.
My current work around is the following code but would ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7430 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7430/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7430/comments | https://api.github.com/repos/huggingface/datasets/issues/7430/events | https://github.com/huggingface/datasets/issues/7430 | 2,886,922,573 | I_kwDODunzps6sEvFN | 7,430 | Error in code "Time to slice and dice" from course "NLP Course" | {
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"You should open an issue in the NLP course website / github page. I'm closing this issue if you don't mind",
"ok, i don't mind, i'll mark the error there"
] | 2025-02-28T11:36:10Z | 2025-03-05T11:32:47Z | 2025-03-03T17:52:15Z | NONE | null | null | null | null | ### Describe the bug
When we execute code
```
frequencies = (
train_df["condition"]
.value_counts()
.to_frame()
.reset_index()
.rename(columns={"index": "condition", "condition": "frequency"})
)
frequencies.head()
```
answer should be like this
condition | frequency
birth control | 27655
dep... | {
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https://api.github.com/repos/huggingface/datasets/issues/7427 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7427/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7427/comments | https://api.github.com/repos/huggingface/datasets/issues/7427/events | https://github.com/huggingface/datasets/issues/7427 | 2,886,032,571 | I_kwDODunzps6sBVy7 | 7,427 | Error splitting the input into NAL units. | {
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"First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`",
"> First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`\n\nany recommend... | 2025-02-28T02:30:15Z | 2025-03-04T01:40:28Z | null | NONE | null | null | null | null | ### Describe the bug
I am trying to finetune qwen2.5-vl on 16 * 80G GPUS, and I use `LLaMA-Factory` and set `preprocessing_num_workers=16`. However, I met the following error and the program seem to got crush. It seems that the error come from `datasets` library
The error logging is like following:
```text
Convertin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7425 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7425/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7425/comments | https://api.github.com/repos/huggingface/datasets/issues/7425/events | https://github.com/huggingface/datasets/issues/7425 | 2,883,684,686 | I_kwDODunzps6r4YlO | 7,425 | load_dataset("livecodebench/code_generation_lite", version_tag="release_v2") TypeError: 'NoneType' object is not callable | {
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"> datasets\n\nHi, have you solved this bug? Today I also met the same problem about `livecodebench/code_generation_lite` when evaluating the `Open-R1` repo. I am looking forward to your reply!\n\n",
"Hey guys,\nI tried to re... | 2025-02-27T07:36:02Z | 2025-03-27T05:05:33Z | null | NONE | null | null | null | null | ### Describe the bug
from datasets import load_dataset
lcb_codegen = load_dataset("livecodebench/code_generation_lite", version_tag="release_v2")
or
configs = get_dataset_config_names("livecodebench/code_generation_lite", trust_remote_code=True)
both error:
Traceback (most recent call last):
File "", line 1, in
File... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7423 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7423/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7423/comments | https://api.github.com/repos/huggingface/datasets/issues/7423/events | https://github.com/huggingface/datasets/issues/7423 | 2,879,271,409 | I_kwDODunzps6rnjHx | 7,423 | Row indexing a dataset with numpy integers | {
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] | closed | false | null | [] | null | [
"Would be cool to be consistent when it comes to indexing with numpy objects, if we do accept numpy arrays we should indeed accept numpy integers. Your idea sounds reasonable, I'd also be in favor of adding a simple test as well"
] | 2025-02-25T18:44:45Z | 2025-07-28T02:23:17Z | 2025-07-28T02:23:17Z | CONTRIBUTOR | null | null | null | null | ### Feature request
Allow indexing datasets with a scalar numpy integer type.
### Motivation
Indexing a dataset with a scalar numpy.int* object raises a TypeError. This is due to the test in `datasets/formatting/formatting.py:key_to_query_type`
``` python
def key_to_query_type(key: Union[int, slice, range, str, Ite... | {
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https://api.github.com/repos/huggingface/datasets/issues/7421 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7421/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7421/comments | https://api.github.com/repos/huggingface/datasets/issues/7421/events | https://github.com/huggingface/datasets/issues/7421 | 2,878,369,052 | I_kwDODunzps6rkG0c | 7,421 | DVC integration broken | {
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"Unfortunately `url` is a reserved argument in `fsspec.url_to_fs`, so ideally file system implementations like DVC should use another argument name to avoid this kind of errors"
] | 2025-02-25T13:14:31Z | 2025-03-03T17:42:02Z | null | NONE | null | null | null | null | ### Describe the bug
The DVC integration seems to be broken.
Followed this guide: https://dvc.org/doc/user-guide/integrations/huggingface
### Steps to reproduce the bug
#### Script to reproduce
~~~python
from datasets import load_dataset
dataset = load_dataset(
"csv",
data_files="dvc://workshop/satellite-d... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7420 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7420/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7420/comments | https://api.github.com/repos/huggingface/datasets/issues/7420/events | https://github.com/huggingface/datasets/issues/7420 | 2,876,281,928 | I_kwDODunzps6rcJRI | 7,420 | better correspondence between cached and saved datasets created using from_generator | {
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] | open | false | null | [] | null | [] | 2025-02-24T22:14:37Z | 2025-02-26T03:10:22Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
At the moment `.from_generator` can only create a dataset that lives in the cache. The cached dataset cannot be loaded with `load_from_disk` because the cache folder is missing `state.json`. So the only way to convert this cached dataset to a regular is to use `save_to_disk` which needs to create a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7419 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7419/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7419/comments | https://api.github.com/repos/huggingface/datasets/issues/7419/events | https://github.com/huggingface/datasets/issues/7419 | 2,875,635,320 | I_kwDODunzps6rZrZ4 | 7,419 | Import order crashes script execution | {
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Hello,
I'm trying to convert an HF dataset into a TFRecord so I'm importing `tensorflow` and `datasets` to do so.
Depending in what order I'm importing those librairies, my code hangs forever and is unkillable (CTRL+C doesn't work, I need to kill my shell entirely).
Thank you for your help
🙏
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7418 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7418/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7418/comments | https://api.github.com/repos/huggingface/datasets/issues/7418/events | https://github.com/huggingface/datasets/issues/7418 | 2,868,701,471 | I_kwDODunzps6q_Okf | 7,418 | pyarrow.lib.arrowinvalid: cannot mix list and non-list, non-null values with map function | {
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"@lhoestq ",
"Can you try passing text: None for the image object ? Pyarrow expects all the objects to have the exact same type, in particular the dicttionaries in \"content\" should all have the keys \"type\" and \"text\"",
"The following modification on system prompt works, but it is different from the usual ... | 2025-02-21T10:58:06Z | 2025-07-11T13:06:10Z | null | NONE | null | null | null | null | ### Describe the bug
Encounter pyarrow.lib.arrowinvalid error with map function in some example when loading the dataset
### Steps to reproduce the bug
```
from datasets import load_dataset
from PIL import Image, PngImagePlugin
dataset = load_dataset("leonardPKU/GEOQA_R1V_Train_8K")
system_prompt="You are a helpful... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7415 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7415/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7415/comments | https://api.github.com/repos/huggingface/datasets/issues/7415/events | https://github.com/huggingface/datasets/issues/7415 | 2,865,774,546 | I_kwDODunzps6q0D_S | 7,415 | Shard Dataset at specific indices | {
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"Hi ! if it's an option I'd suggest to have one sequence per row instead.\n\nOtherwise you'd have to make your own save/load mechanism",
"Saving one sequence per row is very difficult and heavy and makes all the optimizations pointless. How would a custom save/load mechanism look like?",
"You can use `pyarrow` ... | 2025-02-20T10:43:10Z | 2025-02-24T11:06:45Z | null | NONE | null | null | null | null | I have a dataset of sequences, where each example in the sequence is a separate row in the dataset (similar to LeRobotDataset). When running `Dataset.save_to_disk` how can I provide indices where it's possible to shard the dataset such that no episode spans more than 1 shard. Consequently, when I run `Dataset.load_from... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7413 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7413/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7413/comments | https://api.github.com/repos/huggingface/datasets/issues/7413/events | https://github.com/huggingface/datasets/issues/7413 | 2,860,947,582 | I_kwDODunzps6qhph- | 7,413 | Documentation on multiple media files of the same type with WebDataset | {
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"Yes this is correct and it works with huggingface datasets as well ! Feel free to include an example here: https://github.com/huggingface/datasets/blob/main/docs/source/video_dataset.mdx"
] | 2025-02-18T16:13:20Z | 2025-02-20T14:17:54Z | null | NONE | null | null | null | null | The [current documentation](https://huggingface.co/docs/datasets/en/video_dataset) on a creating a video dataset includes only examples with one media file and one json. It would be useful to have examples where multiple files of the same type are included. For example, in a sign language dataset, you may have a base v... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7412/comments | https://api.github.com/repos/huggingface/datasets/issues/7412/events | https://github.com/huggingface/datasets/issues/7412 | 2,859,433,710 | I_kwDODunzps6qb37u | 7,412 | Index Error Invalid Ket is out of bounds for size 0 for code-search-net/code_search_net dataset | {
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I am trying to do model pruning on sentence-transformers/all-mini-L6-v2 for the code-search-net/code_search_net dataset using INCTrainer class
However I am getting below error
```
raise IndexError(f"Invalid Key: {key is our of bounds for size {size}")
IndexError: Invalid key: 1840208 is out of b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7406 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7406/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7406/comments | https://api.github.com/repos/huggingface/datasets/issues/7406/events | https://github.com/huggingface/datasets/issues/7406 | 2,856,441,206 | I_kwDODunzps6qQdV2 | 7,406 | Adding Core Maintainer List to CONTRIBUTING.md | {
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"@lhoestq",
"there is no per-module maintainer and the list is me alone nowadays ^^'",
"@lhoestq \nOh... I feel for you. \nWhat are your criteria for choosing a core maintainer? \nIt seems like it's too much work for you to manage all this code by yourself.\n\nAlso, if you don't mind, can you check this PR for ... | 2025-02-17T00:32:40Z | 2025-03-24T10:57:54Z | 2025-03-24T10:57:54Z | CONTRIBUTOR | null | null | null | null | ### Feature request
I propose adding a core maintainer list to the `CONTRIBUTING.md` file.
### Motivation
The Transformers and Liger-Kernel projects maintain lists of core maintainers for each module.
However, the Datasets project doesn't have such a list.
### Your contribution
I have nothing to add here. | {
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https://api.github.com/repos/huggingface/datasets/issues/7405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7405/comments | https://api.github.com/repos/huggingface/datasets/issues/7405/events | https://github.com/huggingface/datasets/issues/7405 | 2,856,372,814 | I_kwDODunzps6qQMpO | 7,405 | Lazy loading of environment variables | {
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"Many python packages out there, including `huggingface_hub`, do load the environment variables on import.\nYou should `load_dotenv()` before importing the libraries.\n\nFor example you can move all you imports inside your `main()` function"
] | 2025-02-16T22:31:41Z | 2025-02-17T15:17:18Z | null | NONE | null | null | null | null | ### Describe the bug
Loading a `.env` file after an `import datasets` call does not correctly use the environment variables.
This is due the fact that environment variables are read at import time:
https://github.com/huggingface/datasets/blob/de062f0552a810c52077543c1169c38c1f0c53fc/src/datasets/config.py#L155C1-L15... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7404 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7404/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7404/comments | https://api.github.com/repos/huggingface/datasets/issues/7404/events | https://github.com/huggingface/datasets/issues/7404 | 2,856,366,207 | I_kwDODunzps6qQLB_ | 7,404 | Performance regression in `dataset.filter` | {
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"Thanks for reporting, I'll fix the regression today",
"I just released `datasets` 3.3.1 with a fix, let me know if it's good now :)",
"@lhoestq it fixed the issue.\n\nThis was (very) fast, thank you very much!"
] | 2025-02-16T22:19:14Z | 2025-02-17T17:46:06Z | 2025-02-17T14:28:48Z | NONE | null | null | null | null | ### Describe the bug
We're filtering dataset of ~1M (small-ish) records. At some point in the code we do `dataset.filter`, before (including 3.2.0) it was taking couple of seconds, and now it takes 4 hours.
We use 16 threads/workers, and stack trace at them look as follows:
```
Traceback (most recent call last):
Fi... | {
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https://api.github.com/repos/huggingface/datasets/issues/7399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7399/comments | https://api.github.com/repos/huggingface/datasets/issues/7399/events | https://github.com/huggingface/datasets/issues/7399 | 2,853,098,442 | I_kwDODunzps6qDtPK | 7,399 | Synchronize parameters for various datasets | {
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"Hi ! the `desc` parameter is only available for Dataset / DatasetDict for the progress bar of `map()``\n\nSince IterableDataset only runs the map functions when you iterate over the dataset, there is no progress bar and `desc` is useless. We could still add the argument for parity but it wouldn't be used for anyth... | 2025-02-14T09:15:11Z | 2025-02-19T11:50:29Z | null | NONE | null | null | null | null | ### Describe the bug
[IterableDatasetDict](https://huggingface.co/docs/datasets/v3.2.0/en/package_reference/main_classes#datasets.IterableDatasetDict.map) map function is missing the `desc` parameter. You can see the equivalent map function for [Dataset here](https://huggingface.co/docs/datasets/v3.2.0/en/package_refe... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7400/comments | https://api.github.com/repos/huggingface/datasets/issues/7400/events | https://github.com/huggingface/datasets/issues/7400 | 2,853,201,277 | I_kwDODunzps6qEGV9 | 7,400 | 504 Gateway Timeout when uploading large dataset to Hugging Face Hub | {
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"I transferred to the `datasets` repository. Is there any retry mechanism in `datasets` @lhoestq ?\n\nAnother solution @hotchpotch if you want to get your dataset pushed to the Hub in a robust way is to save it to a local folder first and then use `huggingface-cli upload-large-folder` (see https://huggingface.co/do... | 2025-02-14T02:18:35Z | 2025-02-14T23:48:36Z | null | NONE | null | null | null | null | ### Description
I encountered consistent 504 Gateway Timeout errors while attempting to upload a large dataset (approximately 500GB) to the Hugging Face Hub. The upload fails during the process with a Gateway Timeout error.
I will continue trying to upload. While it might succeed in future attempts, I wanted to report... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7394 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7394/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7394/comments | https://api.github.com/repos/huggingface/datasets/issues/7394/events | https://github.com/huggingface/datasets/issues/7394 | 2,847,172,115 | I_kwDODunzps6ptGYT | 7,394 | Using load_dataset with data_files and split arguments yields an error | {
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It seems the list of valid splits recorded by the package becomes incorrectly overwritten when using the `data_files` argument.
If I run
```python
from datasets import load_dataset
load_dataset("allenai/super", split="all_examples", data_files="tasks/expert.jsonl")
```
then I get the error
```
Va... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7392/comments | https://api.github.com/repos/huggingface/datasets/issues/7392/events | https://github.com/huggingface/datasets/issues/7392 | 2,846,095,043 | I_kwDODunzps6po_bD | 7,392 | push_to_hub payload too large error when using large ClassLabel feature | {
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"See also <https://discuss.huggingface.co/t/datasetdict-push-to-hub-failing-with-payload-to-large/140083/8>\n"
] | 2025-02-11T17:51:34Z | 2025-02-11T18:01:31Z | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
When using `datasets.DatasetDict.push_to_hub` an `HfHubHTTPError: 413 Client Error: Payload Too Large for url` is raised if the dataset contains a large `ClassLabel` feature. Even if the total size of the dataset is small.
### Steps to reproduce the bug
``` python
import random
import sys
impor... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7391 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7391/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7391/comments | https://api.github.com/repos/huggingface/datasets/issues/7391/events | https://github.com/huggingface/datasets/issues/7391 | 2,845,184,764 | I_kwDODunzps6plhL8 | 7,391 | AttributeError: module 'pyarrow.lib' has no attribute 'ListViewType' | {
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https://api.github.com/repos/huggingface/datasets/issues/7390 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7390/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7390/comments | https://api.github.com/repos/huggingface/datasets/issues/7390/events | https://github.com/huggingface/datasets/issues/7390 | 2,843,813,365 | I_kwDODunzps6pgSX1 | 7,390 | Re-add py.typed | {
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"A similar issue was fixed for the `transformers` package, too: https://github.com/huggingface/transformers/pull/37022"
] | 2025-02-10T22:12:52Z | 2025-08-10T00:51:17Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
The motivation for removing py.typed no longer seems to apply. Would a solution like [this one](https://github.com/huggingface/huggingface_hub/pull/2752) work here?
### Motivation
MyPy support is broken. As more type checkers come out, such as RedKnot, these may also be broken. It would be goo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7389 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7389/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7389/comments | https://api.github.com/repos/huggingface/datasets/issues/7389/events | https://github.com/huggingface/datasets/issues/7389 | 2,843,592,606 | I_kwDODunzps6pfcee | 7,389 | Getting statistics about filtered examples | {
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"You can actually track a running sum in map() or filter() :)\n\n```python\nnum_filtered = 0\n\ndef f(x):\n global num_filtered\n condition = len(x[\"text\"]) < 1000\n if not condition:\n num_filtered += 1\n return condition\n\nds = ds.filter(f)\nprint(num_filtered)\n```\n\nand if you want to use... | 2025-02-10T20:48:29Z | 2025-02-11T20:44:15Z | 2025-02-11T20:44:13Z | NONE | null | null | null | null | @lhoestq wondering if the team has thought about this and if there are any recommendations?
Currently when processing datasets some examples are bound to get filtered out, whether it's due to bad format, or length is too long, or any other custom filters that might be getting applied. Let's just focus on the filter by... | {
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https://api.github.com/repos/huggingface/datasets/issues/7388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7388/comments | https://api.github.com/repos/huggingface/datasets/issues/7388/events | https://github.com/huggingface/datasets/issues/7388 | 2,843,188,499 | I_kwDODunzps6pd50T | 7,388 | OSError: [Errno 22] Invalid argument forbidden character | {
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"You can probably copy the dataset in your HF account and rename the files (without having to download them to your disk). Or alternatively feel free to open a Pull Request to this dataset with the renamed file",
"Thank you, that will help me work around this problem"
] | 2025-02-10T17:46:31Z | 2025-02-11T13:42:32Z | 2025-02-11T13:42:30Z | NONE | null | null | null | null | ### Describe the bug
I'm on Windows and i'm trying to load a datasets but i'm having title error because files in the repository are named with charactere like < >which can't be in a name file. Could it be possible to load this datasets but removing those charactere ?
### Steps to reproduce the bug
load_dataset("CAT... | {
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https://api.github.com/repos/huggingface/datasets/issues/7387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7387/comments | https://api.github.com/repos/huggingface/datasets/issues/7387/events | https://github.com/huggingface/datasets/issues/7387 | 2,841,228,048 | I_kwDODunzps6pWbMQ | 7,387 | Dynamic adjusting dataloader sampling weight | {
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"You mean based on a condition that has to be checked on-the-fly during training ? Otherwise if you know in advance after how many samples you need to change the sampling you can simply concatenate the two mixes",
"Yes, like during training, if one data sample's prediction is consistently wrong, its sampling weig... | 2025-02-10T03:18:47Z | 2025-03-07T14:06:54Z | null | NONE | null | null | null | null | Hi,
Thanks for your wonderful work! I'm wondering is there a way to dynamically adjust the sampling weight of each data in the dataset during training? Looking forward to your reply, thanks again. | null | {
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"On second thought, probably not a good idea."
] | 2025-02-08T14:27:55Z | 2025-02-08T14:30:10Z | 2025-02-08T14:30:09Z | NONE | null | null | null | null | ### Feature request
This feature proposes adding a new dataset builder called bookfolder to the datasets library. This builder would allow users to easily load datasets consisting of various digital book formats, including: AZW, AZW3, CB7, CBR, CBT, CBZ, EPUB, MOBI, and PDF.
### Motivation
Currently, loading dataset... | {
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"I'd be in favor of that ! I saw many people implementing their own iterables that wrap a dataset just to iterate on a single column, that would make things more practical.\n\nKinda related: https://github.com/huggingface/datasets/issues/5847",
"(For anyone's information, I'm going on vacation for the next 3 week... | 2025-01-28T13:17:36Z | 2025-05-22T18:00:04Z | 2025-05-22T18:00:04Z | CONTRIBUTOR | null | null | null | null | ### Feature request
I would like to be able to iterate (and re-iterate if needed) over a column of an `IterableDataset` instance. The following example shows the supposed API:
```python
def gen():
yield {"text": "Good", "label": 0}
yield {"text": "Bad", "label": 1}
ds = IterableDataset.from_generator(gen)
tex... | {
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https://api.github.com/repos/huggingface/datasets/issues/7378 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7378/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7378/comments | https://api.github.com/repos/huggingface/datasets/issues/7378/events | https://github.com/huggingface/datasets/issues/7378 | 2,802,957,388 | I_kwDODunzps6nEbxM | 7,378 | Allow pushing config version to hub | {
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"Hi ! This sounds reasonable to me, feel free to open a PR :)"
] | 2025-01-21T22:35:07Z | 2025-01-30T13:56:56Z | null | NONE | null | null | null | null | ### Feature request
Currently, when datasets are created, they can be versioned by passing the `version` argument to `load_dataset(...)`. For example creating `outcomes.csv` on the command line
```
echo "id,value\n1,0\n2,0\n3,1\n4,1\n" > outcomes.csv
```
and creating it
```
import datasets
dataset = datasets.load_dat... | null | {
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"Hi ! Unfortunately the Sparse Tensor structure in Arrow is not part of the Arrow format (yes it's confusing...), so it's not possible to use it in `datasets`. It's a separate structure that doesn't correspond to any type or extension type in Arrow.\n\nThe Arrow community recently added an extension type for fixed ... | 2025-01-21T20:14:35Z | 2025-01-30T14:06:45Z | null | NONE | null | null | null | null | ### Feature request
AI in biology is becoming a big thing. One thing that would be a huge benefit to the field that Huggingface Datasets doesn't currently have is native support for **sparse arrays**.
Arrow has support for sparse tensors.
https://arrow.apache.org/docs/format/Other.html#sparse-tensor
It would be ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7375 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7375/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7375/comments | https://api.github.com/repos/huggingface/datasets/issues/7375/events | https://github.com/huggingface/datasets/issues/7375 | 2,800,609,218 | I_kwDODunzps6m7efC | 7,375 | vllm批量推理报错 | {
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"Make sure you have installed a recent version of `soundfile`"
] | 2025-01-21T03:22:23Z | 2025-01-30T14:02:40Z | null | NONE | null | null | null | null | ### Describe the bug
### Steps to reproduce the bug
### Expected behavior
![Image](https://github.com/user-attachments/assets/77d32936-... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7373 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7373/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7373/comments | https://api.github.com/repos/huggingface/datasets/issues/7373/events | https://github.com/huggingface/datasets/issues/7373 | 2,793,237,139 | I_kwDODunzps6mfWqT | 7,373 | Excessive RAM Usage After Dataset Concatenation concatenate_datasets | {
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"\n\n\n\nAdding a img from memray\nhttps://gist.github.com/sam-hey/00c958f13fb0f7b54d17197fe353002f",
"I'm having the same issue where c... | 2025-01-16T16:33:10Z | 2025-03-27T17:40:59Z | null | NONE | null | null | null | null | ### Describe the bug
When loading a dataset from disk, concatenating it, and starting the training process, the RAM usage progressively increases until the kernel terminates the process due to excessive memory consumption.
https://github.com/huggingface/datasets/issues/2276
### Steps to reproduce the bug
```python
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7372 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7372/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7372/comments | https://api.github.com/repos/huggingface/datasets/issues/7372/events | https://github.com/huggingface/datasets/issues/7372 | 2,791,760,968 | I_kwDODunzps6mZuRI | 7,372 | Inconsistent Behavior Between `load_dataset` and `load_from_disk` When Loading Sharded Datasets | {
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I encountered an inconsistency in behavior between `load_dataset` and `load_from_disk` when loading sharded datasets. Here is a minimal example to reproduce the issue:
#### Code 1: Using `load_dataset`
```python
from datasets import Dataset, load_dataset
# First save with max_shard_size=10
Dataset.fr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7371 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7371/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7371/comments | https://api.github.com/repos/huggingface/datasets/issues/7371/events | https://github.com/huggingface/datasets/issues/7371 | 2,790,549,889 | I_kwDODunzps6mVGmB | 7,371 | 500 Server error with pushing a dataset | {
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"EDIT: seems to be all good now. I'll add a comment if the error happens again within the next 48 hours. If it doesn't, I'll just close the topic."
] | 2025-01-15T18:23:02Z | 2025-01-15T20:06:05Z | null | NONE | null | null | null | null | ### Describe the bug
Suddenly, I started getting this error message saying it was an internal error.
`Error creating/pushing dataset: 500 Server Error: Internal Server Error for url: https://huggingface.co/api/datasets/ll4ma-lab/grasp-dataset/commit/main (Request ID: Root=1-6787f0b7-66d5bd45413e481c4c2fb22d;670d04ff-... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7369 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7369/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7369/comments | https://api.github.com/repos/huggingface/datasets/issues/7369/events | https://github.com/huggingface/datasets/issues/7369 | 2,787,193,238 | I_kwDODunzps6mITGW | 7,369 | Importing dataset gives unhelpful error message when filenames in metadata.csv are not found in the directory | {
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"I'd prefer even more verbose errors; like `\"file123.mp3\" is referenced in metadata.csv, but not found in the data directory '/path/to/audiofolder' ! (and 100+ more missing files)` Or something along those lines."
] | 2025-01-14T13:53:21Z | 2025-01-14T15:05:51Z | null | NONE | null | null | null | null | ### Describe the bug
While importing an audiofolder dataset, where the names of the audiofiles don't correspond to the filenames in the metadata.csv, we get an unclear error message that is not helpful for the debugging, i.e.
```
ValueError: Instruction "train" corresponds to no data!
```
### Steps to reproduce the ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7366 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7366/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7366/comments | https://api.github.com/repos/huggingface/datasets/issues/7366/events | https://github.com/huggingface/datasets/issues/7366 | 2,781,522,894 | I_kwDODunzps6lyqvO | 7,366 | Dataset.from_dict() can't handle large dict | {
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I have 26,000,000 3-tuples. When I use Dataset.from_dict() to load, neither. py nor Jupiter notebook can run successfully. This is my code:
```
# len(example_data) is 26,000,000, 'diff' is a text
diff1_list = [example_data[i].texts[0] for i in range(len(example_data))]
diff2_list =... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7365 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7365/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7365/comments | https://api.github.com/repos/huggingface/datasets/issues/7365/events | https://github.com/huggingface/datasets/issues/7365 | 2,780,216,199 | I_kwDODunzps6ltruH | 7,365 | A parameter is specified but not used in datasets.arrow_dataset.Dataset.from_pandas() | {
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I am interested in creating train, test and eval splits from a pandas Dataframe, therefore I was looking at the possibilities I can follow. I noticed the split parameter and was hopeful to use it in order to generate the 3 at once, however, while trying to understand the code, i noticed that it ha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7364 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7364/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7364/comments | https://api.github.com/repos/huggingface/datasets/issues/7364/events | https://github.com/huggingface/datasets/issues/7364 | 2,776,929,268 | I_kwDODunzps6lhJP0 | 7,364 | API endpoints for gated dataset access requests | {
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"Looks like a [similar feature request](https://github.com/huggingface/huggingface_hub/issues/1198) was made to the HF Hub team. Is handling this at the Hub level more appropriate?\r\n\r\n(As an aside, I've gotten the [HTTP-based solution](https://github.com/huggingface/huggingface_hub/issues/1198#issuecomment-1905... | 2025-01-09T06:21:20Z | 2025-01-09T11:17:40Z | 2025-01-09T11:17:20Z | NONE | null | null | null | null | ### Feature request
I would like a programatic way of requesting access to gated datasets. The current solution to gain access forces me to visit a website and physically click an "agreement" button (as per the [documentation](https://huggingface.co/docs/hub/en/datasets-gated#access-gated-datasets-as-a-user)).
An i... | {
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https://api.github.com/repos/huggingface/datasets/issues/7363 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7363/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7363/comments | https://api.github.com/repos/huggingface/datasets/issues/7363/events | https://github.com/huggingface/datasets/issues/7363 | 2,774,090,012 | I_kwDODunzps6lWUEc | 7,363 | ImportError: To support decoding images, please install 'Pillow'. | {
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"what's your `pip show Pillow` output",
"same issue.. my pip show Pillow output as below:\n\n```\nName: pillow\nVersion: 11.1.0\nSummary: Python Imaging Library (Fork)\nHome-page: https://python-pillow.github.io/\nAuthor: \nAuthor-email: \"Jeffrey A. Clark\" <aclark@aclark.net>\nLicense: MIT-CMU\nLocation: [/opt/... | 2025-01-08T02:22:57Z | 2025-05-28T14:56:53Z | null | NONE | null | null | null | null | ### Describe the bug
Following this tutorial locally using a macboko and VSCode: https://huggingface.co/docs/diffusers/en/tutorials/basic_training
This line of code: for i, image in enumerate(dataset[:4]["image"]):
throws: ImportError: To support decoding images, please install 'Pillow'.
Pillow is installed.
###... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7362 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7362/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7362/comments | https://api.github.com/repos/huggingface/datasets/issues/7362/events | https://github.com/huggingface/datasets/issues/7362 | 2,773,731,829 | I_kwDODunzps6lU8n1 | 7,362 | HuggingFace CLI dataset download raises error | {
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"I got the same error and was able to resolve it by upgrading from 2.15.0 to 3.2.0.",
"> I got the same error and was able to resolve it by upgrading from 2.15.0 to 3.2.0.\r\n\r\nWhat is needed is upgrading `huggingface-hub==0.27.1`. `datasets` does not appear to have anything to do with the error. The upgrade is... | 2025-01-07T21:03:30Z | 2025-01-08T15:00:37Z | 2025-01-08T14:35:52Z | NONE | null | null | null | null | ### Describe the bug
Trying to download Hugging Face datasets using Hugging Face CLI raises error. This error only started after December 27th, 2024. For example:
```
huggingface-cli download --repo-type dataset gboleda/wikicorpus
Traceback (most recent call last):
File "/home/ubuntu/test_venv/bin/huggingface... | {
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https://api.github.com/repos/huggingface/datasets/issues/7360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7360/comments | https://api.github.com/repos/huggingface/datasets/issues/7360/events | https://github.com/huggingface/datasets/issues/7360 | 2,771,751,406 | I_kwDODunzps6lNZHu | 7,360 | error when loading dataset in Hugging Face: NoneType error is not callable | {
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"Hi ! I couldn't reproduce on my side, can you try deleting your cache at `~/.cache/huggingface/modules/datasets_modules/datasets/InstaDeepAI--nucleotide_transformer_downstream_tasks_revised` and try again ? For some reason `datasets` wasn't able to find the DatasetBuilder class in the python script of this dataset... | 2025-01-07T02:11:36Z | 2025-02-24T13:32:52Z | null | NONE | null | null | null | null | ### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[2], line 5
3 # Load the enhancers dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7359 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7359/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7359/comments | https://api.github.com/repos/huggingface/datasets/issues/7359/events | https://github.com/huggingface/datasets/issues/7359 | 2,771,137,842 | I_kwDODunzps6lLDUy | 7,359 | There are multiple 'mteb/arguana' configurations in the cache: default, corpus, queries with HF_HUB_OFFLINE=1 | {
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"Related to https://github.com/embeddings-benchmark/mteb/issues/1714"
] | 2025-01-06T17:42:49Z | 2025-01-06T17:43:31Z | null | NONE | null | null | null | null | ### Describe the bug
Hey folks,
I am trying to run this code -
```python
from datasets import load_dataset, get_dataset_config_names
ds = load_dataset("mteb/arguana")
```
with HF_HUB_OFFLINE=1
But I get the following error -
```python
Using the latest cached version of the dataset since mteb/arguana... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7357 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7357/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7357/comments | https://api.github.com/repos/huggingface/datasets/issues/7357/events | https://github.com/huggingface/datasets/issues/7357 | 2,770,456,127 | I_kwDODunzps6lIc4_ | 7,357 | Python process aborded with GIL issue when using image dataset | {
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"The issue seems to come from `pyarrow`, I opened an issue on their side at https://github.com/apache/arrow/issues/45214",
"I \"solved\" this by setting a low batch_size for load_datasets()",
"datasets==3.1.0 works\ndatasets==4.1.1 fails"
] | 2025-01-06T11:29:30Z | 2025-09-21T15:04:39Z | null | NONE | null | null | null | null | ### Describe the bug
The issue is visible only with the latest `datasets==3.2.0`.
When using image dataset the Python process gets aborted right before the exit with the following error:
```
Fatal Python error: PyGILState_Release: thread state 0x7fa1f409ade0 must be current when releasing
Python runtime state: f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7356 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7356/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7356/comments | https://api.github.com/repos/huggingface/datasets/issues/7356/events | https://github.com/huggingface/datasets/issues/7356 | 2,770,095,103 | I_kwDODunzps6lHEv_ | 7,356 | How about adding a feature to pass the key when performing map on DatasetDict? | {
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"@lhoestq \r\nIf it's okay with you, can I work on this?",
"Hi ! Can you give an example of what it would look like to use this new feature ?\r\n\r\nNote that currently you can already do\r\n\r\n```python\r\nds[\"train\"] = ds[\"train\"].map(process_train)\r\nds[\"test\"] = ds[\"test\"].map(process_test)\r\n```",... | 2025-01-06T08:13:52Z | 2025-03-24T10:57:47Z | 2025-03-24T10:57:47Z | CONTRIBUTOR | null | null | null | null | ### Feature request
Add a feature to pass the key of the DatasetDict when performing map
### Motivation
I often preprocess using map on DatasetDict.
Sometimes, I need to preprocess train and valid data differently depending on the task.
So, I thought it would be nice to pass the key (like train, valid) when perf... | {
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https://api.github.com/repos/huggingface/datasets/issues/7355 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7355/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7355/comments | https://api.github.com/repos/huggingface/datasets/issues/7355/events | https://github.com/huggingface/datasets/issues/7355 | 2,768,958,211 | I_kwDODunzps6lCvMD | 7,355 | Not available datasets[audio] on python 3.13 | {
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"It looks like an issue with `numba` which can't be installed on 3.13 ? `numba` is a dependency of `librosa`, used to decode audio files",
"There seems that `uv` cannot resolve \n\n```bhas\nuv add -n datasets[audio] huggingface-hub[hf-transfer] transformers\n```\n\nThe problem is again `librosa` which depends on ... | 2025-01-04T18:37:08Z | 2025-06-28T00:26:19Z | null | NONE | null | null | null | null | ### Describe the bug
This is the error I got, it seems numba package does not support python 3.13
PS C:\Users\sergi\Documents> pip install datasets[audio]
Defaulting to user installation because normal site-packages is not writeable
Collecting datasets[audio]
Using cached datasets-3.2.0-py3-none-any.whl.metada... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7354 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7354/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7354/comments | https://api.github.com/repos/huggingface/datasets/issues/7354/events | https://github.com/huggingface/datasets/issues/7354 | 2,768,955,917 | I_kwDODunzps6lCuoN | 7,354 | A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.2 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. | {
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"recreated .venv and run this: pip install diffusers[training]==0.11.1"
] | 2025-01-04T18:30:17Z | 2025-01-08T02:20:58Z | 2025-01-08T02:20:58Z | NONE | null | null | null | null | ### Describe the bug
Following this tutorial: https://huggingface.co/docs/diffusers/en/tutorials/basic_training and running it locally using VSCode on my MacBook. The first line in the tutorial fails: from datasets import load_dataset
dataset = load_dataset('huggan/smithsonian_butterflies_subset', split="train"). w... | {
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https://api.github.com/repos/huggingface/datasets/issues/7347 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7347/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7347/comments | https://api.github.com/repos/huggingface/datasets/issues/7347/events | https://github.com/huggingface/datasets/issues/7347 | 2,760,282,339 | I_kwDODunzps6khpDj | 7,347 | Converting Arrow to WebDataset TAR Format for Offline Use | {
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"Hi,\r\n\r\nI've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:\r\n\r\nimport json\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset(\"pixparse/cc3m-wds\")\r\ndataset.save_to_disk(\"./cc3m_1\")\r\n\r\n\r\nnow I need to convert it to WebDataset's TAR form... | 2024-12-27T01:40:44Z | 2024-12-31T17:38:00Z | 2024-12-28T15:38:03Z | NONE | null | null | null | null | ### Feature request
Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
```
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1")
```
now I need to convert it to WebDataset's TAR form... | {
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https://api.github.com/repos/huggingface/datasets/issues/7346 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7346/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7346/comments | https://api.github.com/repos/huggingface/datasets/issues/7346/events | https://github.com/huggingface/datasets/issues/7346 | 2,758,752,118 | I_kwDODunzps6kbzd2 | 7,346 | OSError: Invalid flatbuffers message. | {
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"Thanks for reporting, it looks like an issue with `pyarrow.ipc.open_stream`\r\n\r\nCan you try installing `datasets` from this pull request and see if it helps ? https://github.com/huggingface/datasets/pull/7348",
"> Thanks for reporting, it looks like an issue with `pyarrow.ipc.open_stream`\r\n> \r\n> Can you t... | 2024-12-25T11:38:52Z | 2025-01-09T14:25:29Z | 2025-01-09T14:25:05Z | NONE | null | null | null | null | ### Describe the bug
When loading a large 2D data (1000 × 1152) with a large number of (2,000 data in this case) in `load_dataset`, the error message `OSError: Invalid flatbuffers message` is reported.
When only 300 pieces of data of this size (1000 × 1152) are stored, they can be loaded correctly.
When 2,00... | {
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https://api.github.com/repos/huggingface/datasets/issues/7345 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7345/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7345/comments | https://api.github.com/repos/huggingface/datasets/issues/7345/events | https://github.com/huggingface/datasets/issues/7345 | 2,758,585,709 | I_kwDODunzps6kbK1t | 7,345 | Different behaviour of IterableDataset.map vs Dataset.map with remove_columns | {
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"Good catch ! Do you think you can open a PR to fix this issue ?"
] | 2024-12-25T07:36:48Z | 2025-01-07T11:56:42Z | 2025-01-07T11:56:42Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
The following code
```python
import datasets as hf
ds1 = hf.Dataset.from_list([{'i': i} for i in [0,1]])
#ds1 = ds1.to_iterable_dataset()
ds2 = ds1.map(
lambda i: {'i': i+1},
input_columns = ['i'],
remove_columns = ['i']
)
list(ds2)
```
produces
```python
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https://api.github.com/repos/huggingface/datasets/issues/7344 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7344/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7344/comments | https://api.github.com/repos/huggingface/datasets/issues/7344/events | https://github.com/huggingface/datasets/issues/7344 | 2,754,735,951 | I_kwDODunzps6kMe9P | 7,344 | HfHubHTTPError: 429 Client Error: Too Many Requests for URL when trying to access SlimPajama-627B or c4 on TPUs | {
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"Hi ! This is due to your old version of `datasets` which calls HF with `expand=True`, an option that is strongly rate limited.\r\n\r\nRecent versions of `datasets` don't rely on this anymore, you can fix your issue by upgrading `datasets` :)\r\n\r\n```\r\npip install -U datasets\r\n```\r\n\r\nYou can also get maxi... | 2024-12-22T16:30:07Z | 2025-01-15T05:32:00Z | 2025-01-15T05:31:58Z | NONE | null | null | null | null | ### Describe the bug
I am trying to run some trainings on Google's TPUs using Huggingface's DataLoader on [SlimPajama-627B](https://huggingface.co/datasets/cerebras/SlimPajama-627B) and [c4](https://huggingface.co/datasets/allenai/c4), but I end up running into `429 Client Error: Too Many Requests for URL` error when ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7343 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7343/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7343/comments | https://api.github.com/repos/huggingface/datasets/issues/7343/events | https://github.com/huggingface/datasets/issues/7343 | 2,750,525,823 | I_kwDODunzps6j8bF_ | 7,343 | [Bug] Inconsistent behavior of data_files and data_dir in load_dataset method. | {
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"Hi ! `data_files` with a list is equivalent to `data_files={\"train\": data_files}` with a train test only.\r\n\r\nWhen no split are specified, they are inferred based on file names, and files with no apparent split are ignored",
"Thanks for your reply!\r\n`files with no apparent split are ignored`. Is there a o... | 2024-12-19T14:31:27Z | 2025-01-03T15:54:09Z | 2025-01-03T15:54:09Z | NONE | null | null | null | null | ### Describe the bug
Inconsistent operation of data_files and data_dir in load_dataset method.
### Steps to reproduce the bug
# First
I have three files, named 'train.json', 'val.json', 'test.json'.
Each one has a simple dict `{text:'aaa'}`.
Their path are `/data/train.json`, `/data/val.json`, `/data/test.jso... | {
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https://api.github.com/repos/huggingface/datasets/issues/7337 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7337/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7337/comments | https://api.github.com/repos/huggingface/datasets/issues/7337/events | https://github.com/huggingface/datasets/issues/7337 | 2,744,877,569 | I_kwDODunzps6jm4IB | 7,337 | One or several metadata.jsonl were found, but not in the same directory or in a parent directory of | {
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"Hmmm I double checked in the source code and I found a contradiction: in the current implementation the metadata file is ignored if it's not in the same archive as the zip image somehow:\r\n\r\nhttps://github.com/huggingface/datasets/blob/caa705e8bf4bedf1a956f48b545283b2ca14170a/src/datasets/packaged_modules/folde... | 2024-12-17T12:58:43Z | 2025-01-03T15:28:13Z | null | NONE | null | null | null | null | ### Describe the bug
ImageFolder with metadata.jsonl error. I downloaded liuhaotian/LLaVA-CC3M-Pretrain-595K locally from Hugging Face. According to the tutorial in https://huggingface.co/docs/datasets/image_dataset#image-captioning, only put images.zip and metadata.jsonl containing information in the same folder. How... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7336 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7336/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7336/comments | https://api.github.com/repos/huggingface/datasets/issues/7336/events | https://github.com/huggingface/datasets/issues/7336 | 2,744,746,456 | I_kwDODunzps6jmYHY | 7,336 | Clarify documentation or Create DatasetCard | {
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] | open | false | null | [] | null | [] | 2024-12-17T12:01:00Z | 2024-12-17T12:01:00Z | null | NONE | null | null | null | null | ### Feature request
I noticed that you can use a Model Card instead of a Dataset Card when pushing a dataset to the Hub, but this isn’t clearly mentioned in [the docs.](https://huggingface.co/docs/datasets/dataset_card)
- Update the docs to clarify that a Model Card can work for datasets too.
- It might be worth c... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7335 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7335/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7335/comments | https://api.github.com/repos/huggingface/datasets/issues/7335/events | https://github.com/huggingface/datasets/issues/7335 | 2,743,437,260 | I_kwDODunzps6jhYfM | 7,335 | Too many open files: '/root/.cache/huggingface/token' | {
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I ran this code:
```
from datasets import load_dataset
dataset = load_dataset("common-canvas/commoncatalog-cc-by", cache_dir="/datadrive/datasets/cc", num_proc=1000)
```
And got this error.
Before it was some other file though (lie something...incomplete)
runnting
```
ulimit -n 8192
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7334 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7334/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7334/comments | https://api.github.com/repos/huggingface/datasets/issues/7334/events | https://github.com/huggingface/datasets/issues/7334 | 2,740,266,503 | I_kwDODunzps6jVSYH | 7,334 | TypeError: Value.__init__() missing 1 required positional argument: 'dtype' | {
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"same error \n```\ndata = load_dataset('/opt/deepseek_R1_finetune/hf_datasets/openai/gsm8k', 'main')[split] \n```",
"> same error\n> \n> ```\n> data = load_dataset('/opt/deepseek_R1_finetune/hf_datasets/openai/gsm8k', 'main')[split] \n> ```\n\nhttps://github.com/huggingface/open-r1/issues/204 this help me",
"S... | 2024-12-15T04:08:46Z | 2025-07-10T03:32:36Z | null | NONE | null | null | null | null | ### Describe the bug
ds = load_dataset(
"./xxx.py",
name="default",
split="train",
)
The datasets does not support debugging locally anymore...
### Steps to reproduce the bug
```
from datasets import load_dataset
ds = load_dataset(
"./repo.py",
name="default",
split="train",
)
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7327 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7327/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7327/comments | https://api.github.com/repos/huggingface/datasets/issues/7327/events | https://github.com/huggingface/datasets/issues/7327 | 2,738,514,909 | I_kwDODunzps6jOmvd | 7,327 | .map() is not caching and ram goes OOM | {
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"I have the same issue - any update on this?"
] | 2024-12-13T14:22:56Z | 2025-02-10T10:42:38Z | null | NONE | null | null | null | null | ### Describe the bug
Im trying to run a fairly simple map that is converting a dataset into numpy arrays. however, it just piles up on memory and doesnt write to disk. Ive tried multiple cache techniques such as specifying the cache dir, setting max mem, +++ but none seem to work. What am I missing here?
### Steps to... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7326 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7326/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7326/comments | https://api.github.com/repos/huggingface/datasets/issues/7326/events | https://github.com/huggingface/datasets/issues/7326 | 2,738,188,902 | I_kwDODunzps6jNXJm | 7,326 | Remove upper bound for fsspec | {
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"Unfortunately `fsspec` versioning allows breaking changes across version and there is no way we can keep it without constrains at the moment. It already broke `datasets` once in the past. Maybe one day once `fsspec` decides on a stable and future proof API but I don't think this will happen anytime soon\r\n\r\nedi... | 2024-12-13T11:35:12Z | 2025-01-03T15:34:37Z | null | NONE | null | null | null | null | ### Describe the bug
As also raised by @cyyever in https://github.com/huggingface/datasets/pull/7296 and @NeilGirdhar in https://github.com/huggingface/datasets/commit/d5468836fe94e8be1ae093397dd43d4a2503b926#commitcomment-140952162 , `datasets` has a problematic version constraint on `fsspec`.
In our case this c... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7323 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7323/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7323/comments | https://api.github.com/repos/huggingface/datasets/issues/7323/events | https://github.com/huggingface/datasets/issues/7323 | 2,736,008,698 | I_kwDODunzps6jFC36 | 7,323 | Unexpected cache behaviour using load_dataset | {
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"Hi ! Since `datasets` 3.x, the `datasets` specific files are in `cache_dir=` and the HF files are cached using `huggingface_hub` and you can set its cache directory using the `HF_HOME` environment variable.\r\n\r\nThey are independent, for example you can delete the Hub cache (containing downloaded files) but sti... | 2024-12-12T14:03:00Z | 2025-01-31T11:34:24Z | 2025-01-31T11:34:24Z | NONE | null | null | null | null | ### Describe the bug
Following the (Cache management)[https://huggingface.co/docs/datasets/en/cache] docu and previous behaviour from datasets version 2.18.0, one is able to change the cache directory. Previously, all downloaded/extracted/etc files were found in this folder. As i have recently update to the latest v... | {
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https://api.github.com/repos/huggingface/datasets/issues/7322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7322/comments | https://api.github.com/repos/huggingface/datasets/issues/7322/events | https://github.com/huggingface/datasets/issues/7322 | 2,732,254,868 | I_kwDODunzps6i2uaU | 7,322 | ArrowInvalid: JSON parse error: Column() changed from object to array in row 0 | {
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"Hi ! `datasets` uses Arrow under the hood which expects each column and array to have fixed types that don't change across rows of a dataset, which is why we get this error. This dataset in particular doesn't have a format compatible with Arrow unfortunately. Don't hesitate to open a discussion or PR on HF to fix ... | 2024-12-11T08:41:39Z | 2025-07-15T13:06:55Z | null | NONE | null | null | null | null | ### Describe the bug
Encountering an error while loading the ```liuhaotian/LLaVA-Instruct-150K dataset```.
### Steps to reproduce the bug
```
from datasets import load_dataset
fw =load_dataset("liuhaotian/LLaVA-Instruct-150K")
```
Error:
```
ArrowInvalid Traceback (most recen... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7321 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7321/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7321/comments | https://api.github.com/repos/huggingface/datasets/issues/7321/events | https://github.com/huggingface/datasets/issues/7321 | 2,731,626,760 | I_kwDODunzps6i0VEI | 7,321 | ImportError: cannot import name 'set_caching_enabled' from 'datasets' | {
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"pip install datasets==2.18.0",
"Hi ! I think you need to update axolotl"
] | 2024-12-11T01:58:46Z | 2024-12-11T13:32:15Z | null | NONE | null | null | null | null | ### Describe the bug
Traceback (most recent call last):
File "/usr/local/lib/python3.10/runpy.py", line 187, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "/usr/local/lib/python3.10/runpy.py", line 110, in _get_module_details
__import__(pkg_name)
File "... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7320/comments | https://api.github.com/repos/huggingface/datasets/issues/7320/events | https://github.com/huggingface/datasets/issues/7320 | 2,731,112,100 | I_kwDODunzps6iyXak | 7,320 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['label'] | {
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"Now i have other error"
] | 2024-12-10T20:23:11Z | 2024-12-10T23:22:23Z | 2024-12-10T23:22:23Z | NONE | null | null | null | null | ### Describe the bug
I am trying to create a PEFT model from DISTILBERT model, and run a training loop. However, the trainer.train() is giving me this error: ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['label']
Here is my code:
### St... | {
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https://api.github.com/repos/huggingface/datasets/issues/7318 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7318/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7318/comments | https://api.github.com/repos/huggingface/datasets/issues/7318/events | https://github.com/huggingface/datasets/issues/7318 | 2,730,676,278 | I_kwDODunzps6iwtA2 | 7,318 | Introduce support for PDFs | {
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"#self-assign",
"Awesome ! Let me know if you have any question or if I can help :)\r\n\r\ncc @AndreaFrancis as well for viz",
"Other candidates libraries for the Pdf type: PyMuPDF pypdf and pdfplumber\r\n\r\nEDIT: Pymupdf looks like a good choice when it comes to maturity + performance + versatility BUT the li... | 2024-12-10T16:59:48Z | 2024-12-12T18:38:13Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
The idea (discussed in the Discord server with @lhoestq ) is to have a Pdf type like Image/Audio/Video. For example [Video](https://github.com/huggingface/datasets/blob/main/src/datasets/features/video.py) was recently added and contains how to decode a video file encoded in a dictionary like {"pat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7313 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7313/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7313/comments | https://api.github.com/repos/huggingface/datasets/issues/7313/events | https://github.com/huggingface/datasets/issues/7313 | 2,726,240,634 | I_kwDODunzps6ifyF6 | 7,313 | Cannot create a dataset with relative audio path | {
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"Hello ! when you `cast_column` you need the paths to be absolute paths or relative paths to your working directory, not the original dataset directory.\r\n\r\nThough I'd recommend structuring your dataset as an AudioFolder which automatically links a metadata.jsonl or csv to the audio files via relative paths **wi... | 2024-12-09T07:34:20Z | 2025-04-19T07:13:08Z | null | NONE | null | null | null | null | ### Describe the bug
Hello! I want to create a dataset of parquet files, with audios stored as separate .mp3 files. However, it says "No such file or directory" (see the reproducing code).
### Steps to reproduce the bug
Creating a dataset
```
from pathlib import Path
from datasets import Dataset, load_datas... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7311 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7311/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7311/comments | https://api.github.com/repos/huggingface/datasets/issues/7311/events | https://github.com/huggingface/datasets/issues/7311 | 2,725,002,630 | I_kwDODunzps6ibD2G | 7,311 | How to get the original dataset name with username? | {
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"Hi ! why not pass the dataset id to Ray and let it check the parquet files ? Or pass the parquet files lists directly ?",
"I'm not sure why ray design an API like this to accept a `Dataset` object, so they need to verify the `Dataset` is the original one and use the `DatasetInfo` to query the huggingface hub. I'... | 2024-12-08T07:18:14Z | 2025-01-09T10:48:02Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
The issue is related to ray data https://github.com/ray-project/ray/issues/49008 which it requires to check if the dataset is the original one just after `load_dataset` and parquet files are already available on hf hub.
The solution used now is to get the dataset name, config and split, then `... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7310 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7310/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7310/comments | https://api.github.com/repos/huggingface/datasets/issues/7310/events | https://github.com/huggingface/datasets/issues/7310 | 2,724,830,603 | I_kwDODunzps6iaZ2L | 7,310 | Enable the Audio Feature to decode / read with an offset + duration | {
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"Hi ! What about having audio + start + duration columns and enable something like this ?\r\n\r\n```python\r\nfor example in ds:\r\n array = example[\"audio\"].read(start=example[\"start\"], frames=example[\"duration\"])\r\n```",
"Hi @lhoestq, this would work with a file-based dataset but would be terrible for... | 2024-12-07T22:01:44Z | 2024-12-09T21:09:46Z | null | NONE | null | null | null | null | ### Feature request
For most large speech dataset, we do not wish to generate hundreds of millions of small audio samples. Instead, it is quite common to provide larger audio files with frame offset (soundfile start and stop arguments). We should be able to pass these arguments to Audio() (column ID corresponding in t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7315/comments | https://api.github.com/repos/huggingface/datasets/issues/7315/events | https://github.com/huggingface/datasets/issues/7315 | 2,729,738,963 | I_kwDODunzps6itILT | 7,315 | Allow manual configuration of Dataset Viewer for datasets not created with the `datasets` library | {
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"Hi @diarray-hub , thanks for opening the issue :) Let me ping @lhoestq and @severo from the dataset viewer team :hugs: ",
"amazing :)",
"Hi ! why not modify the manifest.json file directly ? this way users see in the viewer the dataset as is instead which makes it easier to use using e.g. the `datasets` librar... | 2024-12-07T16:37:12Z | 2024-12-11T11:05:22Z | null | NONE | null | null | null | null | #### **Problem Description**
Currently, the Hugging Face Dataset Viewer automatically interprets dataset fields for datasets created with the `datasets` library. However, for datasets pushed directly via `git`, the Viewer:
- Defaults to generic columns like `label` with `null` values if no explicit mapping is provide... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7306 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7306/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7306/comments | https://api.github.com/repos/huggingface/datasets/issues/7306/events | https://github.com/huggingface/datasets/issues/7306 | 2,719,807,464 | I_kwDODunzps6iHPfo | 7,306 | Creating new dataset from list loses information. (Audio Information Lost - either Datatype or Values). | {
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When creating a dataset from a list of datapoints, information is lost of the individual items.
Specifically, when creating a dataset from a list of datapoints (from another dataset). Either the datatype is lost or the values are lost. See examples below.
-> What is the best way to create... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7305 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7305/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7305/comments | https://api.github.com/repos/huggingface/datasets/issues/7305/events | https://github.com/huggingface/datasets/issues/7305 | 2,715,907,267 | I_kwDODunzps6h4XTD | 7,305 | Build Documentation Test Fails Due to "Bad Credentials" Error | {
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"how were you able to fix this please?",
"> how were you able to fix this please?\r\n\r\nI was not able to fix this."
] | 2024-12-03T20:22:54Z | 2025-01-08T22:38:14Z | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
The `Build documentation / build / build_main_documentation (push)` job is consistently failing during the "Syncing repository" step. The error occurs when attempting to determine the default branch name, resulting in "Bad credentials" errors.
### Steps to reproduce the bug
1. Trigger the `build... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7303 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7303/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7303/comments | https://api.github.com/repos/huggingface/datasets/issues/7303/events | https://github.com/huggingface/datasets/issues/7303 | 2,705,729,696 | I_kwDODunzps6hRiig | 7,303 | DataFilesNotFoundError for datasets LM1B | {
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"Hi ! Can you try with a more recent version of `datasets` ? Also you might need to pass trust_remote_code=True since it's a script based dataset"
] | 2024-11-29T17:27:45Z | 2024-12-11T13:22:47Z | 2024-12-11T13:22:47Z | NONE | null | null | null | null | ### Describe the bug
Cannot load the dataset https://huggingface.co/datasets/billion-word-benchmark/lm1b
### Steps to reproduce the bug
`dataset = datasets.load_dataset('lm1b', split=split)`
### Expected behavior
`Traceback (most recent call last):
File "/home/hml/projects/DeepLearning/Generative_model/Diffusio... | {
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https://api.github.com/repos/huggingface/datasets/issues/7299 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7299/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7299/comments | https://api.github.com/repos/huggingface/datasets/issues/7299/events | https://github.com/huggingface/datasets/issues/7299 | 2,695,378,251 | I_kwDODunzps6gqDVL | 7,299 | Efficient Image Augmentation in Hugging Face Datasets | {
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I'm using the Hugging Face datasets library to load images in batch and would like to apply a torchvision transform to solve the inconsistent image sizes in the dataset and apply some on the fly image augmentation. I can just think about using the collate_fn, but seems quite inefficient.
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7298 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7298/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7298/comments | https://api.github.com/repos/huggingface/datasets/issues/7298/events | https://github.com/huggingface/datasets/issues/7298 | 2,694,196,968 | I_kwDODunzps6gli7o | 7,298 | loading dataset issue with load_dataset() when training controlnet | {
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i'm unable to load my dataset for [controlnet training](https://github.com/huggingface/diffusers/blob/074e12358bc17e7dbe111ea4f62f05dbae8a49d5/examples/controlnet/train_controlnet.py#L606) using load_dataset(). however, load_from_disk() seems to work?
would appreciate if someone can explain why ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7297 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7297/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7297/comments | https://api.github.com/repos/huggingface/datasets/issues/7297/events | https://github.com/huggingface/datasets/issues/7297 | 2,683,977,430 | I_kwDODunzps6f-j7W | 7,297 | wrong return type for `IterableDataset.shard()` | {
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"Oops my bad ! thanks for reporting"
] | 2024-11-22T17:25:46Z | 2024-12-03T14:27:27Z | 2024-12-03T14:27:03Z | NONE | null | null | null | null | ### Describe the bug
`IterableDataset.shard()` has the wrong typing for its return as `"Dataset"`. It should be `"IterableDataset"`. Makes my IDE unhappy.
### Steps to reproduce the bug
look at [the source code](https://github.com/huggingface/datasets/blob/main/src/datasets/iterable_dataset.py#L2668)?
### Expected ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7295 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7295/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7295/comments | https://api.github.com/repos/huggingface/datasets/issues/7295/events | https://github.com/huggingface/datasets/issues/7295 | 2,672,003,384 | I_kwDODunzps6fQ4k4 | 7,295 | [BUG]: Streaming from S3 triggers `unexpected keyword argument 'requote_redirect_url'` | {
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Note that this bug is only triggered when `streaming=True`. #5459 introduced always calling fsspec with `client_kwargs={"requote_redirect_url": False}`, which seems to have incompatibility issues even in the newest versions.
Analysis of what's happening:
1. `datasets` passes the `client_kw... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7292 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7292/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7292/comments | https://api.github.com/repos/huggingface/datasets/issues/7292/events | https://github.com/huggingface/datasets/issues/7292 | 2,664,250,855 | I_kwDODunzps6ezT3n | 7,292 | DataFilesNotFoundError for datasets `OpenMol/PubChemSFT` | {
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"Hi ! If the dataset owner uses `push_to_hub()` instead of `save_to_disk()` and upload the local files it will fix the issue.\r\nRight now `datasets` sees the train/test/valid pickle files but they are not supported file formats.",
"Alternatively you can load the arrow file instead:\r\n\r\n```python\r\nfrom datas... | 2024-11-16T11:54:31Z | 2024-11-19T00:53:00Z | 2024-11-19T00:52:59Z | NONE | null | null | null | null | ### Describe the bug
Cannot load the dataset https://huggingface.co/datasets/OpenMol/PubChemSFT
### Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset('OpenMol/PubChemSFT')
```
### Expected behavior
```
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https://api.github.com/repos/huggingface/datasets/issues/7291 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7291/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7291/comments | https://api.github.com/repos/huggingface/datasets/issues/7291/events | https://github.com/huggingface/datasets/issues/7291 | 2,662,244,643 | I_kwDODunzps6erqEj | 7,291 | Why return_tensors='pt' doesn't work？ | {
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"Hi ! `datasets` uses Arrow as storage backend which is agnostic to deep learning frameworks like torch. If you want to get torch tensors back, you need to do `dataset = dataset.with_format(\"torch\")`",
"> Hi ! `datasets` uses Arrow as storage backend which is agnostic to deep learning frameworks like torch. If ... | 2024-11-15T15:01:23Z | 2024-11-18T13:47:08Z | null | NONE | null | null | null | null | ### Describe the bug
I tried to add input_ids to dataset with map(), and I used the return_tensors='pt', but why I got the callback with the type of List？
### Steps to reproduce the bug
![image](https://github.com/user-attac... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7290 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7290/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7290/comments | https://api.github.com/repos/huggingface/datasets/issues/7290/events | https://github.com/huggingface/datasets/issues/7290 | 2,657,620,816 | I_kwDODunzps6eaBNQ | 7,290 | `Dataset.save_to_disk` hangs when using num_proc > 1 | {
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"I've met the same situations.\r\n\r\nHere's my logs:\r\nnum_proc = 64, I stop it early as it cost **too** much time.\r\n```\r\nSaving the dataset (1540/4775 shards): 32%|███▏ | 47752224/147853764 [15:32:54<132:28:34, 209.89 examples/s]\r\nSaving the dataset (1540/4775 shards): 32%|███▏ | 47754224/14785... | 2024-11-14T05:25:13Z | 2025-06-27T00:56:47Z | null | NONE | null | null | null | null | ### Describe the bug
Hi, I'm encountered a small issue when saving datasets that led to the saving taking up to multiple hours.
Specifically, [`Dataset.save_to_disk`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.Dataset.save_to_disk) is a lot slower when using `num_proc>1` than... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7289 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7289/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7289/comments | https://api.github.com/repos/huggingface/datasets/issues/7289/events | https://github.com/huggingface/datasets/issues/7289 | 2,648,019,507 | I_kwDODunzps6d1ZIz | 7,289 | Dataset viewer displays wrong statists | {
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"i think this issue is more for https://github.com/huggingface/dataset-viewer"
] | 2024-11-11T03:29:27Z | 2024-11-13T13:02:25Z | 2024-11-13T13:02:25Z | NONE | null | null | null | null | ### Describe the bug
In [my dataset](https://huggingface.co/datasets/speedcell4/opus-unigram2), there is a column called `lang2`, and there are 94 different classes in total, but the viewer says there are 83 values only. This issue only arises in the `train` split. The total number of values is also 94 in the `test`... | {
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https://api.github.com/repos/huggingface/datasets/issues/7287 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7287/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7287/comments | https://api.github.com/repos/huggingface/datasets/issues/7287/events | https://github.com/huggingface/datasets/issues/7287 | 2,646,958,393 | I_kwDODunzps6dxWE5 | 7,287 | Support for identifier-based automated split construction | {
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"Hi ! You can already configure the README.md to have multiple sets of splits, e.g.\r\n\r\n```yaml\r\nconfigs:\r\n- config_name: my_first_set_of_split\r\n data_files:\r\n - split: train\r\n path: *.csv\r\n- config_name: my_second_set_of_split\r\n data_files:\r\n - split: train\r\n path: train-*.csv\r\n -... | 2024-11-10T07:45:19Z | 2024-11-19T14:37:02Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
As far as I understand, automated construction of splits for hub datasets is currently based on either file names or directory structure ([as described here](https://huggingface.co/docs/datasets/en/repository_structure))
It would seem to be pretty useful to also allow splits to be based on ide... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7286 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7286/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7286/comments | https://api.github.com/repos/huggingface/datasets/issues/7286/events | https://github.com/huggingface/datasets/issues/7286 | 2,645,350,151 | I_kwDODunzps6drNcH | 7,286 | Concurrent loading in `load_from_disk` - `num_proc` as a param | {
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https://github.com/huggingface/datasets/pull/6464 mentions a `num_proc` param while loading dataset from disk, but can't find that in the documentation and code anywhere
### Motivation
Make loading large datasets from disk faster
### Your contribution
Happy to contribute if given pointers | {
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https://api.github.com/repos/huggingface/datasets/issues/7282 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7282/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7282/comments | https://api.github.com/repos/huggingface/datasets/issues/7282/events | https://github.com/huggingface/datasets/issues/7282 | 2,642,075,491 | I_kwDODunzps6det9j | 7,282 | Faulty datasets.exceptions.ExpectedMoreSplitsError | {
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Trying to download only the 'validation' split of my dataset; instead hit the error `datasets.exceptions.ExpectedMoreSplitsError`.
Appears to be the same undesired behavior as reported in [#6939](https://github.com/huggingface/datasets/issues/6939), but with `data_files`, not `data_dir`.
Her... | null | {
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"following_url": "https://api.github.com/users/MichielBontenbal/following{/other_use... | [] | open | false | null | [] | null | [
"Link to the dataset: https://huggingface.co/datasets/MichielBontenbal/UrbanSounds "
] | 2024-11-07T09:04:49Z | 2024-11-07T09:22:43Z | null | NONE | null | null | null | null | ### Describe the bug
I get a FileNotFoundError:
<img width="944" alt="image" src="https://github.com/user-attachments/assets/1336bc08-06f6-4682-a3c0-071ff65efa87">
### Steps to reproduce the bug
See screenshot.
### Expected behavior
I want to load one audiofile from the dataset.
### Environmen... | null | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/7281/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/7281/timeline | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | {
"blocked_by": 0,
"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | false |
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