|
--- |
|
dataset_info: |
|
- config_name: corpus |
|
features: |
|
- name: _id |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 2149671 |
|
num_examples: 2210 |
|
download_size: 1266719 |
|
dataset_size: 2149671 |
|
- config_name: queries |
|
features: |
|
- name: _id |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 6041 |
|
num_examples: 50 |
|
download_size: 6573 |
|
dataset_size: 6041 |
|
- 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: |
|
- name: train |
|
num_bytes: 4875336 |
|
num_examples: 50 |
|
download_size: 262930 |
|
dataset_size: 4875336 |
|
configs: |
|
- config_name: corpus |
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data_files: |
|
- 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: |
|
- split: train |
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path: relevance/train-* |
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language: |
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- en |
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tags: |
|
- sentence-transformers |
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size_categories: |
|
- 1K<n<10K |
|
--- |
|
|
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# NanoBEIR SCIDOCS with BM25 rankings |
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This dataset is an updated variant of [NanoSCIDOCS](https://huggingface.co/datasets/zeta-alpha-ai/NanoSCIDOCS), which is a subset of the SCIDOCS dataset from the Benchmark for Information Retrieval (BEIR). |
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SCIDOCS 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. |