Datasets:
File size: 1,165 Bytes
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license: mit
task_categories:
- text-retrieval
language:
- en
tags:
- climate-fact-checking
- comp90042
- hard-negative-mining
---
# 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)
```json
{
"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
```bash
python scripts/01_mine_hard_negatives.py
```
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