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config.yaml

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+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"