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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:

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
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