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feat: add MovieLens 1M dataset
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---
license: apache-2.0
---
# GRSB
GRSB (Gorse Reranker System Benchmark) provides recommendation datasets for evaluating rerankers with user histories, item documents, and binary feedback labels.
## Data format
Each dataset is stored under `data/<dataset>/` with three files:
| File | Description |
| --- | --- |
| `users.jsonl` | One JSON object per user. |
| `items.jsonl` | One JSON object per item, including item metadata and text used to render documents. |
| `feedback.csv` | User-item interactions in `user_id,item_id,label,timestamp` format. `label` is `1` for positive feedback and `0` for negative feedback. |
Prompt templates are stored under `prompt/<dataset>/`:
| File | Description |
| --- | --- |
| `instruct.txt` | Reranker instruction. |
| `query.jinja2` | Template for rendering a user's history into a query. |
| `document.jinja2` | Template for rendering item metadata into a document. |
## Dataset sizes
| Dataset | Domain | Users | Items | Feedback | Positive | Negative | Size |
| --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
| `ml-100k` | Movies | 943 | 1,682 | 100,000 | 55,375 | 44,625 | 2.70 MiB |
| `ml-1m` | Movies | 6,040 | 3,883 | 1,000,209 | 575,281 | 424,928 | 21.97 MiB |
| `spoilers` | Books | 18,892 | 25,475 | 1,378,033 | 883,573 | 494,460 | 156.61 MiB |
Notes:
- `ml-1m` has 3,883 movie metadata records, while its feedback file references 3,706 of those items.
- Movie item descriptions are generated from titles and stored in `items.jsonl` for document rendering.
- `spoilers` item metadata is larger because it includes richer book text and metadata.
## File-level sizes
| Dataset | File | Rows | Size |
| --- | --- | ---: | ---: |
| `ml-100k` | `users.jsonl` | 943 | 0.07 MiB |
| `ml-100k` | `items.jsonl` | 1,682 | 0.74 MiB |
| `ml-100k` | `feedback.csv` | 100,000 | 1.89 MiB |
| `ml-1m` | `users.jsonl` | 6,040 | 0.42 MiB |
| `ml-1m` | `items.jsonl` | 3,883 | 0.96 MiB |
| `ml-1m` | `feedback.csv` | 1,000,209 | 20.59 MiB |
| `spoilers` | `users.jsonl` | 18,892 | 0.85 MiB |
| `spoilers` | `items.jsonl` | 25,475 | 84.42 MiB |
| `spoilers` | `feedback.csv` | 1,378,033 | 71.34 MiB |