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New-Methodology retrieval training data

Artifacts for the COMP90042 climate claim verification retrieval pipeline.

Files

File Description
reranker_train_pairs.jsonl CE finetune pairs (claim, passage, label) mined from train
reranker_train_pairs.meta.json Mining metadata
train_bge_top150_candidates.json Per-claim BGE-large top-150 candidate pools (train)

Mining config (from meta)

{
  "output": "/hpc2hdd/home/jyang577/joe/New-Methodology/data/reranker_train_pairs.jsonl",
  "pool_cache": "/hpc2hdd/home/jyang577/joe/New-Methodology/data/train_bge_top150_candidates.json",
  "dense_model": "BAAI/bge-large-en-v1.5",
  "candidate_top_n": 150,
  "hard_neg_min": 4,
  "hard_neg_max": 8,
  "bf16_encode": false,
  "num_pairs": 13946,
  "claims": 1228,
  "positives": 4122,
  "hard_negatives": 9824,
  "claims_with_fewer_than_min_neg": 0,
  "claims_with_no_gold": 0
}

Regenerate locally

python scripts/01_mine_hard_negatives.py
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