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---
dataset_info:
- config_name: mmarco-collection
  features:
  - name: text
    dtype: string
  - name: original_row_id
    dtype: int64
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  - name: anc
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  - name: neg_ids.original
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  - name: neg_ids.japanese-splade-base-v1-mmarco-only.top100
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  - name: neg_sims.japanese-splade-base-v1-mmarco-only.top100
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  - name: neg_ids.japanese-splade-base-v1-mmarco-only.other100
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  - name: neg_sims.japanese-splade-base-v1-mmarco-only.other100
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  - name: score.bge-reranker-v2-m3.pos_ids
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  - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1-mmarco-only.top100
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  - name: score.bge-reranker-v2-m3.neg_ids.japanese-splade-base-v1-mmarco-only.other100
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  - name: neg_ids.japanese-splade-base-v1_5.other100
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  - name: neg_sims.japanese-splade-base-v1_5.other100
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  splits:
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- config_name: mqa-collection
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- config_name: mqa-dataset
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- config_name: msmarco-ja-collection
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  - name: original_row_id
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  - name: text_en
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- config_name: msmarco-ja-dataset
  features:
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  - name: anc
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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。