hotpotqa-sub / README.md
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# HotpotQA Subset
## Purpose
This subset provides a standardized benchmark for evaluating sparse model performance on HotpotQA data, with negative examples pooled using BM25 retrieval.
## Creation
This subset was created using the `make_beir_subset.py` script with the following command:
```bash
python ./make_beir_subset.py --dataset hotpotqa --es-host http://localhost:9200 --force-reindex --split test
```
## Parameters Used
- **Dataset**: hotpotqa
- **Split**: test (test set)
- **ES Host**: http://localhost:9200
- **Force Reindex**: Enabled (overwrote existing Elasticsearch index)
- **Default settings**:
- Number of queries: 1000 (or available queries if fewer)
- Pool size: 100 documents per query
- Pooler: elastic (BM25 retrieval)
- Seed: 42