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--- |
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dataset_info: |
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- config_name: corpus |
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features: |
|
- name: _id |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 4521394 |
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num_examples: 2953 |
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download_size: 2455042 |
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dataset_size: 4521394 |
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- config_name: queries |
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features: |
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- name: _id |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1939 |
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num_examples: 50 |
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download_size: 2620 |
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dataset_size: 1939 |
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- config_name: relevance |
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features: |
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- name: query-id |
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dtype: string |
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- name: positive-corpus-ids |
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sequence: string |
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- name: bm25-ranked-ids |
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sequence: string |
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splits: |
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- name: train |
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num_bytes: 1796038 |
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num_examples: 50 |
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download_size: 249760 |
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dataset_size: 1796038 |
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configs: |
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- config_name: corpus |
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data_files: |
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- split: train |
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path: corpus/train-* |
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- config_name: queries |
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data_files: |
|
- split: train |
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path: queries/train-* |
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- config_name: relevance |
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data_files: |
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- split: train |
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path: relevance/train-* |
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--- |
|
|
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# NanoBEIR NFCorpus with BM25 rankings |
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This dataset is an updated variant of [NanoNFCorpus](https://huggingface.co/datasets/zeta-alpha-ai/NanoNFCorpus), which is a subset of the NFCorpus dataset from the Benchmark for Information Retrieval (BEIR). |
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NFCorpus was created as a subset of the rather large BEIR, designed to be more efficient to run. This dataset adds a `bm25-ranked-ids` column to the `relevance` subset, which contains a ranking of every single passage in the corpus to the query. |
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This dataset is used in Sentence Transformers for evaluating CrossEncoder (i.e. reranker) models on NanoBEIR by reranking the top *k* results from BM25. |
