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2.36 kB
| 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" | |