Alberto1231/human_study
human_study Free-form human Reddit responses derived from snap-stanford/user_study_annotations. The original Reddit post text comes from the HumanLM authors' reddit_post_dict_testset.json. Each row contains an original Reddit post in prompt and the response written by a human-study participant in target. Model responses, generated personas, comparison judgments, and worker identifiers are intentionally excluded. Deduplication and splits Source annotation… See the full description on the dataset page: https://huggingface.co/datasets/Alberto1231/human_study.
human_study
Free-form human Reddit responses derived from `snap-stanford/user_study_annotations`. The original Reddit post text comes from the HumanLM authors' `reddit_post_dict_testset.json`.
Each row contains an original Reddit post in prompt and the response written by a human-study participant in target. Model responses, generated personas, comparison judgments, and worker identifiers are intentionally excluded.
Deduplication and splits
- Source annotation revision:
b19978763f7a1e4fcf71c2facfa65af0136cc425 - Random seed:
42 - Exactly one annotation is randomly selected per unique
post_id. post_idis unique across the complete derived dataset.- The 5 most compact selected rows form the few-shot
trainsplit to keep prompts within small model context windows. - All remaining unique posts form the scored
testsplit. - Train rows: 5
- Test rows: 59
The prompt contract is:
Post:
<original Reddit post>
Response:<SPACE>The Response: cue ends with exactly one ASCII space so lm-eval can append few-shot targets and begin generation at a natural token boundary. The target is the participant's original free-form response.
