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New-Methodology retrieval training data
Artifacts for a 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": "data/reranker_train_pairs.jsonl",
"pool_cache": "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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