metadata
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-1mhas 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.jsonlfor document rendering. spoilersitem 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 |