data_mix: (): dataset_construction.DataMix name: "code_30b" shuffle: false local_save_dir: data/ load_from_local_save_dir: false compute_dataset_stats: true keep_separated_datasets_in_dataset_dict: false 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"