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data_mix:
(): dataset_construction.DataMix
name: "code_30b"
shuffle: false
local_save_dir: data/
load_from_local_save_dir: true
compute_dataset_stats: true
keep_separated_datasets_in_dataset_dict: true
deduplicate_test_set: false
ngram_path_for_extra_deduplication: null
max_shard_size: "2GB"
datasets:
# Code
- (): dataset_construction.DatasetConfig
dataset_path: 'bigcode/starcoderdata'
train_split: "train[:20%]"
text_column: "content"
dataset_kwargs:
data_dir: python
build_test_set_from_train: true
- (): dataset_construction.DatasetConfig
dataset_path: 'bigcode/starcoderdata'
train_split: "train[:20%]"
text_column: "content"
dataset_kwargs:
data_dir: markdown
build_test_set_from_train: true
- (): dataset_construction.DatasetConfig
dataset_path: 'bigcode/starcoderdata'
train_split: "train[:20%]"
text_column: "content"
dataset_kwargs:
data_dir: jupyter-scripts-dedup-filtered
build_test_set_from_train: true
- (): dataset_construction.DatasetConfig
dataset_path: 'bigcode/starcoderdata'
train_split: "train[:20%]"
text_column: "content"
dataset_kwargs:
data_dir: jupyter-structured-clean-dedup
build_test_set_from_train: true
- (): dataset_construction.DatasetConfig
dataset_path: 'bigcode/starcoderdata'
train_split: "train[:15%]"
text_column: "content"
dataset_kwargs:
data_dir: json
build_test_set_from_train: true
- (): dataset_construction.DatasetConfig
dataset_path: 'teven/code_contests'
train_split: "train"
# build_test_set_from_train: true
build_test_set_from_train: false
test_split: "valid"
# needs to be debugged
filtering_function:
(): dataset_collection.code.deepmind_code_contest.CodeContestFilter
preprocessing_function:
(): dataset_collection.code.deepmind_code_contest.CodeContestMapper
- (): dataset_construction.DatasetConfig
dataset_path: 'vikp/pypi_clean'
train_split: "train"
build_test_set_from_train: true
text_column: code
id_column: path
# we could add synthetic textbook datasets or code with explanations !
# tokenizer: "mistralai/Mistral-7B-v0.1"
tokenizer: "manu/tok-fr-en-code"
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