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pretty_name: grail-interactions
tags:
- grail
- recommendation
- slate
- bandit
- human-preference
license: other
language:
- en
task_categories:
- recommendation
task_ids:
- slate-recommendation
size_categories:
- 10K<n<100K
---
# grail-interactions
Hugging Face dataset built from platform interactions with a **70/30 train/validation** split.
## Split sizes
{
"train": 41240,
"validation": 4578
}
## What each row contains
- **Profile one-liner** (human-readable demographics)
- **Current item** (title + id)
- **History up to current** (with watch seconds & total length)
- **Options** (slate shown at this step; names preferred, ids as fallback)
## Key columns (produced by the builder)
- `current_video_id`, `current_video_title`
- `watched_vids_json`, `watched_detailed_json`
- `slate_items_json`, `slate_ids_json`, `slate_titles_json`, `slate_text`, `n_options`
- `viewer_profile_sentence`
- `state_text` (PROFILE + CURRENTLY WATCHING + HISTORY + OPTIONS)
## Example columns (first 30)
['worker_id', 'response_id', 'assignment_id', 'hit_id', 'qid', 'ytid', 'q87', 'q89', 'q5_2', 'q5_5', 'q5_11', 'q5_12', 'q58_1', 'q58_2', 'q58_3', 'q58_4', 'q89_1', 'q90', 'q6', 'q6_46_text', 'q56', 'q77', 'q8', 'q78', 'q9', 'q10', 'q12_1', 'q12_2', 'q12_3', 'q13']
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