| """Descarga datasets y modelos para la validación externa de DignityAI.""" |
| from datasets import load_dataset |
| from huggingface_hub import snapshot_download |
| import os, json |
|
|
| os.makedirs("data", exist_ok=True) |
| DS = { |
| "machismodetect": "antonn-dromundo/MachismoDetect", |
| "sinodio_latam": "antonn-dromundo/SinOdio-LATAM-Regional-HateSpeech", |
| "piuba_real": "piuba-bigdata/contextualized_hate_speech", |
| "hatecheck_es": "Paul/hatecheck-spanish", |
| "superset_es": "manueltonneau/spanish-hate-speech-superset", |
| } |
| info = {} |
| for k, rid in DS.items(): |
| try: |
| d = load_dataset(rid) |
| for split, part in d.items(): |
| part.to_pandas().to_parquet(f"data/{k}__{split}.parquet") |
| info[k] = {s: {"filas": len(p), "columnas": p.column_names} for s, p in d.items()} |
| except Exception as e: |
| info[k] = {"error": repr(e)[:300]} |
| print(k, json.dumps(info[k], ensure_ascii=False)[:400], flush=True) |
|
|
| for rid in ["piuba-bigdata/beto-contextualized-hate-speech", "antonn-dromundo/SinOdio-BETO-HateSpeech-Detector-v3"]: |
| p = snapshot_download(rid, allow_patterns=["*.json", "*.safetensors", "*.txt", "*.md", "tokenizer*", "vocab*", "special*"]) |
| print(rid, p, os.listdir(p), flush=True) |
| json.dump(info, open("data/info.json", "w"), ensure_ascii=False, indent=2) |
|
|
