Datasetpublic

LawrenceYin/annotation-pack-b

Annotation pack B — are any words forced into the text? 100 short texts (60 web-style excerpts, 40 one-sentence news summaries) written by small language models. Annotators judge whether any word looks forced in. For annotators / 标注人: Read RUBRIC_HUMAN.md. Annotator A downloads annotator_A.csv; annotator B downloads annotator_B.csv (same items). Fill label (GENUINE / LOOPHOLE / GARBLED), wrong_sense (Y/N), fluency (1–5), flagged_words, optional notes. Work alone. Send the… See the full description on the dataset page: https://huggingface.co/datasets/LawrenceYin/annotation-pack-b.

sourceHugging Facecc-by-4.0updated 6d agoView on Hugging Face

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Annotation pack B — are any words forced into the text?

100 short texts (60 web-style excerpts, 40 one-sentence news summaries) written by small language models. Annotators judge whether any word looks forced in.

For annotators / 标注人:

1.Read RUBRIC_HUMAN.md.
2.Annotator A downloads annotator_A.csv; annotator B downloads annotator_B.csv (same items).
3.Fill label (GENUINE / LOOPHOLE / GARBLED), wrong_sense (Y/N), fluency (1–5), flagged_words, optional notes. Work alone.
4.Send the filled CSV back directly to the person who asked you (do not upload it here).

Expected time: 40–60 minutes.