Download metadata/9_2.stats.json from TurkuNLP/HPLT3-PerRef: direct link, hf CLI and curl.
- Browser
- Download file 920 Bytes
-
https://huggingface.co/datasets/TurkuNLP/HPLT3-PerRef/resolve/main/metadata/9_2.stats.json
- Command line
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hf download hf://datasets/TurkuNLP/HPLT3-PerRef/metadata/9_2.stats.json
-
curl -L -o 9_2.stats.json https://huggingface.co/datasets/TurkuNLP/HPLT3-PerRef/resolve/main/metadata/9_2.stats.json
920 Bytes
| { | |
| "source_shard": "https://data.hplt-project.org/three/sorted/pes_Arab/9_2.jsonl.zst", | |
| "source_filename": "9_2.jsonl", | |
| "model": "alrazz-n/bge-m3_spamham_best_model", | |
| "model_path": "/scratch/project_2005092/nima/saved_models/bge-m3-retromae_spamham", | |
| "threshold": 0.3, | |
| "threshold_definition": "remove documents where junk_probability >= threshold", | |
| "threshold_source": "dev set precision-recall analysis", | |
| "dev_metrics": { | |
| "junk_precision": 0.9484, | |
| "junk_recall": 0.9439, | |
| "good_recall": 0.9725 | |
| }, | |
| "class_mapping": { | |
| "0": "junk", | |
| "1": "good" | |
| }, | |
| "batch_size": 128, | |
| "max_length": 1024, | |
| "max_chars_for_inference": 20000, | |
| "kept_documents": 5407725, | |
| "junk_documents": 563683, | |
| "junk_storage": "id + junk_probability only", | |
| "total_documents": 5971408, | |
| "kept_ratio": 0.9056030001634455, | |
| "junk_ratio": 0.09439699983655446, | |
| "processed_at": "2026-07-25T23:35:55.172836" | |
| } |