--- | |
# Example metadata to be added to a dataset card. | |
# Full dataset card template at https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md | |
language: | |
- {lang_0} # Example: fr | |
- {lang_1} # Example: en | |
license: {license} # Example: apache-2.0 or any license from https://hf.co/docs/hub/repositories-licenses | |
license_name: {license_name} # If license = other (license not in https://hf.co/docs/hub/repositories-licenses), specify an id for it here, like `my-license-1.0`. | |
license_link: {license_link} # If license = other, specify "LICENSE" or "LICENSE.md" to link to a file of that name inside the repo, or a URL to a remote file. | |
license_details: {license_details} # Legacy, textual description of a custom license. | |
tags: | |
- {tag_0} # Example: audio | |
- {tag_1} # Example: bio | |
- {tag_2} # Example: natural-language-understanding | |
- {tag_3} # Example: birds-classification | |
annotations_creators: | |
- {creator} # Example: crowdsourced, found, expert-generated, machine-generated | |
language_creators: | |
- {creator} # Example: crowdsourced, ... | |
language_details: | |
- {bcp47_lang_0} # Example: fr-FR | |
- {bcp47_lang_1} # Example: en-US | |
pretty_name: {pretty_name} # Example: SQuAD | |
size_categories: | |
- {number_of_elements_in_dataset} # Example: n<1K, 100K<n<1M, … | |
source_datasets: | |
- {source_dataset_0} # Example: wikipedia | |
- {source_dataset_1} # Example: laion/laion-2b | |
task_categories: # Full list at https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/pipelines.ts | |
- {task_0} # Example: question-answering | |
- {task_1} # Example: image-classification | |
task_ids: | |
- {subtask_0} # Example: extractive-qa | |
- {subtask_1} # Example: multi-class-image-classification | |
paperswithcode_id: {paperswithcode_id} # Dataset id on PapersWithCode (from the URL). Example for SQuAD: squad | |
configs: # Optional. This can be used to pass additional parameters to the dataset loader, such as `data_files`, `data_dir`, and any builder-specific parameters | |
- config_name: {config_name_0} # Name of the dataset subset, if applicable. Example: default | |
data_files: | |
- split: {split_name_0} # Example: train | |
path: {file_path_0} # Example: data.csv | |
- split: {split_name_1} # Example: test | |
path: {file_path_1} # Example: holdout.csv | |
- config_name: {config_name_1} # Name of the dataset subset. Example: processed | |
data_files: | |
- split: {split_name_3} # Example: train | |
path: {file_path_3} # Example: data_processed.csv | |
# Optional. This part can be used to store the feature types and size of the dataset to be used in python. This can be automatically generated using the datasets-cli. | |
dataset_info: | |
features: | |
- name: {feature_name_0} # Example: id | |
dtype: {feature_dtype_0} # Example: int32 | |
- name: {feature_name_1} # Example: text | |
dtype: {feature_dtype_1} # Example: string | |
- name: {feature_name_2} # Example: image | |
dtype: {feature_dtype_2} # Example: image | |
# Example for SQuAD: | |
# - name: id | |
# dtype: string | |
# - name: title | |
# dtype: string | |
# - name: context | |
# dtype: string | |
# - name: question | |
# dtype: string | |
# - name: answers | |
# sequence: | |
# - name: text | |
# dtype: string | |
# - name: answer_start | |
# dtype: int32 | |
config_name: {config_name} # Name of the dataset subset. Example for glue: sst2 | |
splits: | |
- name: {split_name_0} # Example: train | |
num_bytes: {split_num_bytes_0} # Example for SQuAD: 79317110 | |
num_examples: {split_num_examples_0} # Example for SQuAD: 87599 | |
download_size: {dataset_download_size} # Example for SQuAD: 35142551 | |
dataset_size: {dataset_size} # Example for SQuAD: 89789763 | |
# It can also be a list of multiple subsets (also called "configurations"): | |
# ```yaml | |
# dataset_info: | |
# - config_name: {config0} | |
# features: | |
# ... | |
# - config_name: {config1} | |
# features: | |
# ... | |
# ``` | |
# Optional. If you want your dataset to be protected behind a gate that users have to accept to access the dataset. More info at https://huggingface.co/docs/hub/datasets-gated | |
extra_gated_fields: | |
- {field_name_0}: {field_type_0} # Example: Name: text | |
- {field_name_1}: {field_type_1} # Example: Affiliation: text | |
- {field_name_2}: {field_type_2} # Example: Email: text | |
- {field_name_3}: {field_type_3} # Example for speech datasets: I agree to not attempt to determine the identity of speakers in this dataset: checkbox | |
extra_gated_prompt: {extra_gated_prompt} # Example for speech datasets: By clicking on “Access repository” below, you also agree to not attempt to determine the identity of speakers in the dataset. | |
# Optional. Add this if you want to encode a train and evaluation info in a structured way for AutoTrain or Evaluation on the Hub | |
train-eval-index: | |
- config: {config_name} # The dataset subset name to use. Example for datasets without subsets: default. Example for glue: sst2 | |
task: {task_name} # The task category name (same as task_category). Example: question-answering | |
task_id: {task_type} # The AutoTrain task id. Example: extractive_question_answering | |
splits: | |
train_split: train # The split to use for training. Example: train | |
eval_split: validation # The split to use for evaluation. Example: test | |
col_mapping: # The columns mapping needed to configure the task_id. | |
# Example for extractive_question_answering: | |
# question: question | |
# context: context | |
# answers: | |
# text: text | |
# answer_start: answer_start | |
metrics: | |
- type: {metric_type} # The metric id. Example: wer. Use metric id from https://hf.co/metrics | |
name: {metric_name} # Tne metric name to be displayed. Example: Test WER | |
--- | |
Valid license identifiers can be found in [our docs](https://huggingface.co/docs/hub/repositories-licenses). | |
For the full dataset card template, see: [datasetcard_template.md file](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md). | |