--- dataset_info: - config_name: deduped features: - name: text dtype: string - name: summary dtype: string splits: - name: train num_bytes: 25789470056.0 num_examples: 871910 - name: validation num_bytes: 2046546693.0 num_examples: 65388 - name: test num_bytes: 2056452183.0 num_examples: 65372 download_size: 12137808791 dataset_size: 29892468932.0 - config_name: default features: - name: text dtype: string - name: summary dtype: string splits: - name: train num_bytes: 38364057181 num_examples: 1207222 - name: validation num_bytes: 2115665259 num_examples: 67068 - name: test num_bytes: 2129349762 num_examples: 67072 download_size: 17095133825 dataset_size: 42609072202 - config_name: mini features: - name: text dtype: string - name: summary dtype: string - name: cluster_id dtype: int64 splits: - name: train num_bytes: 2661771759 num_examples: 90000 download_size: 1079431729 dataset_size: 2661771759 configs: - config_name: deduped data_files: - split: train path: deduped/train-* - split: validation path: deduped/validation-* - split: test path: deduped/test-* - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* - config_name: mini data_files: - split: train path: mini/train-* license: cc-by-4.0 task_categories: - text2text-generation - summarization language: - en tags: - legal source_dataset: NortheasternUniversity/big_patent --- # BEE-spoke-data/bigpatent-all Original [bigpatent](https://huggingface.co/datasets/NortheasternUniversity/big_patent) subset "all" converted to hf format, columns renamed, some cleaning applied to "summary" column. ## additional configs - the [deduped](https://huggingface.co/datasets/BEE-spoke-data/bigpatent-all/viewer/deduped) config, which has the `summary` col deduped via minhash - the [mini](https://huggingface.co/datasets/BEE-spoke-data/bigpatent-all/viewer/mini) config, which is a ~1 GB version of the deduped dataset created via a [minipile-like](https://arxiv.org/abs/2304.08442) clustering+sampling approach