| 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: |
| |
| - (): 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: false |
| test_split: "valid" |
| |
| 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 |
| |
|
|
|
|
| tokenizer: "mistralai/Mistral-7B-v0.1" |
|
|