--- dataset_info: - config_name: mmarco-collection features: - name: text dtype: string - name: original_row_id dtype: int64 splits: - name: train num_bytes: 3884756138 num_examples: 8829813 download_size: 2267388203 dataset_size: 3884756138 - config_name: mmarco-dataset features: - name: original_row_id dtype: int64 - name: anc dtype: string - name: pos_ids sequence: int64 - name: neg_ids.original sequence: int64 - name: neg_ids.japanese-splade-base-v1-mmarco-only.top100 sequence: int64 - name: neg_sims.japanese-splade-base-v1-mmarco-only.top100 sequence: float64 - name: neg_ids.japanese-splade-base-v1-mmarco-only.other100 sequence: int64 - name: neg_sims.japanese-splade-base-v1-mmarco-only.other100 sequence: float64 - name: score.bge-reranker-v2-m3.pos_ids sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1-mmarco-only.top100 sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1-mmarco-only.other100 sequence: float64 - name: neg_ids.japanese-splade-base-v1_5.top100 sequence: int64 - name: neg_sims.japanese-splade-base-v1_5.top100 sequence: float64 - name: neg_ids.japanese-splade-base-v1_5.other100 sequence: int64 - name: neg_sims.japanese-splade-base-v1_5.other100 sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1_5.top100 sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1_5.other100 sequence: float64 splits: - name: train num_bytes: 4123278189 num_examples: 391060 download_size: 3397702699 dataset_size: 4123278189 - config_name: mqa-collection features: - name: text dtype: string - name: original_row_id dtype: int64 splits: - name: train num_bytes: 5499685825 num_examples: 11852254 download_size: 3335944299 dataset_size: 5499685825 - config_name: mqa-dataset features: - name: original_row_id dtype: int64 - name: anc dtype: string - name: pos_ids sequence: int64 - name: neg_ids sequence: 'null' - name: neg_ids.japanese-splade-base-v1-mmarco-only.top100 sequence: int64 - name: neg_sims.japanese-splade-base-v1-mmarco-only.top100 sequence: float64 - name: neg_ids.japanese-splade-base-v1-mmarco-only.other100 sequence: int64 - name: neg_sims.japanese-splade-base-v1-mmarco-only.other100 sequence: float64 - name: score.bge-reranker-v2-m3.pos_ids sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1-mmarco-only.top100 sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1-mmarco-only.other100 sequence: float64 - name: neg_ids.japanese-splade-base-v1_5.top100 sequence: int64 - name: neg_sims.japanese-splade-base-v1_5.top100 sequence: float64 - name: neg_ids.japanese-splade-base-v1_5.other100 sequence: int64 - name: neg_sims.japanese-splade-base-v1_5.other100 sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1_5.top100 sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1_5.other100 sequence: float64 splits: - name: train num_bytes: 4189340797 num_examples: 427532 download_size: 3448383271 dataset_size: 4189340797 - config_name: msmarco-ja-collection features: - name: text dtype: string - name: original_row_id dtype: int64 - name: text_en dtype: string splits: - name: train num_bytes: 6761932587 num_examples: 8841823 download_size: 3637581470 dataset_size: 6761932587 - config_name: msmarco-ja-dataset features: - name: original_row_id dtype: int64 - name: anc dtype: string - name: pos_ids sequence: int64 - name: neg_ids.japanese-splade-base-v1_5.top100 sequence: int64 - name: neg_sims.japanese-splade-base-v1_5.top100 sequence: float64 - name: neg_ids.japanese-splade-base-v1_5.other100 sequence: int64 - name: neg_sims.japanese-splade-base-v1_5.other100 sequence: float64 - name: score.bge-reranker-v2-m3.pos_ids sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1_5.top100 sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1_5.other100 sequence: float64 - name: neg_ids.japanese-splade-base-v1-mmarco-only.top100 sequence: int64 - name: neg_sims.japanese-splade-base-v1-mmarco-only.top100 sequence: float64 - name: neg_ids.japanese-splade-base-v1-mmarco-only.other100 sequence: int64 - name: neg_sims.japanese-splade-base-v1-mmarco-only.other100 sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1-mmarco-only.top100 sequence: float64 - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1-mmarco-only.other100 sequence: float64 - name: anc_en dtype: string splits: - name: train num_bytes: 4911934526 num_examples: 502931 download_size: 4025308774 dataset_size: 4911934526 configs: - config_name: mmarco-collection data_files: - split: train path: mmarco-collection/train-* - config_name: mmarco-dataset data_files: - split: train path: mmarco-dataset/train-* - config_name: mqa-collection data_files: - split: train path: mqa-collection/train-* - config_name: mqa-dataset data_files: - split: train path: mqa-dataset/train-* - config_name: msmarco-ja-collection data_files: - split: train path: msmarco-ja-collection/train-* - config_name: msmarco-ja-dataset data_files: - split: train path: msmarco-ja-dataset/train-* --- [日本語 SPLADE v2](https://huggingface.co/hotchpotch/japanese-splade-v2) の学習に用いたデータセットです。 SPLADE モデルである [hotchpotch/japanese-splade-base-v1-mmarco-only](https://huggingface.co/hotchpotch/japanese-splade-base-v1-mmarco-only), [japanese-splade-base-v1_5](https://huggingface.co/hotchpotch/japanese-splade-base-v1_5) を用いてハードネガティブマイニングを行なっています。また BAAI/bge-reranker-v2-m3 を用いたリランカースコアを付与しています。 - mqa, mmarco は[hpprc/emb](https://huggingface.co/datasets/hpprc/emb) のデータを用いています。 - mqa の query 作成には MinHash を用い約40万件になるようフィルタしました。 - msmarco-ja は [hpprc/msmarco-ja](https://huggingface.co/datasets/hpprc/msmarco-ja)のデータを用いています。 ライセンスは、各データセットのライセンスを継承します。