| |
| """Loading examples for CodeMixCheck with the Hugging Face `datasets` library. |
| |
| python scripts/load_dataset.py # load from this local folder |
| python scripts/load_dataset.py --repo <user>/CodeMixCheck # load from the Hub (after upload) |
| |
| For a private or gated Hub repo, log in first (`huggingface-cli login`) and accept |
| the access conditions on the dataset page. |
| """ |
| from __future__ import annotations |
|
|
| import argparse |
| from collections import Counter |
| from pathlib import Path |
|
|
| from datasets import load_dataset |
|
|
| LOCAL = str(Path(__file__).resolve().parents[1]) |
|
|
|
|
| def main(): |
| ap = argparse.ArgumentParser() |
| ap.add_argument("--repo", default=LOCAL, help="Hub repo id or local path (default: this folder)") |
| repo = ap.parse_args().repo |
|
|
| |
| fv = load_dataset(repo, "fact_verification") |
| sent = load_dataset(repo, "sentiment") |
| abuse = load_dataset(repo, "abuse_detection") |
| for name, ds in [("fact_verification", fv), ("sentiment", sent), ("abuse_detection", abuse)]: |
| print(name, {k: v.num_rows for k, v in ds.items()}) |
|
|
| |
| train = load_dataset(repo, "fact_verification", split="train") |
| print("fact_verification/train:", train.num_rows, "rows") |
|
|
| |
| rec = train[0] |
| print({k: rec[k] for k in ("id", "text", "label", "label_3way", "evidence_explanation", "provenance_class")}) |
|
|
| |
| print("train labels:", Counter(train["label"])) |
| print("label origins:", Counter(train["label_origin"])) |
|
|
| |
| test_syn = load_dataset(repo, "fact_verification", split="test_synthetic") |
| print("test_synthetic:", test_syn.num_rows) |
| if "test_curated" in fv: |
| cur = fv["test_curated"] |
| for subset in sorted(set(cur["eval_subset"])): |
| part = cur.filter(lambda r, s=subset: r["eval_subset"] == s) |
| print("test_curated /", subset, part.num_rows, Counter(part["label"])) |
| else: |
| print("test_curated is not available in this copy.") |
|
|
| |
| strict = test_syn.filter(lambda r: not ({"D01", "D02"} & set(r["audit_flags"]))) |
| print("test_synthetic without cross-split near-duplicate / same-claim rows:", strict.num_rows) |
|
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| |
| |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
