| { |
| "default": { |
| "description": "GCI-Bench (Glint Clarity Index Bench): a 5,000-item diagnostic benchmark measuring whether small language models (1M\u2013100M parameters) use attention \u00d7 gradient interactions to prioritize relevant context over distractors.", |
| "citation": "", |
| "homepage": "", |
| "license": "MIT", |
| "features": { |
| "id": {"dtype": "string", "_type": "Value"}, |
| "topic": {"dtype": "string", "_type": "Value"}, |
| "topicLabel": {"dtype": "string", "_type": "Value"}, |
| "templateId": {"dtype": "string", "_type": "Value"}, |
| "difficulty": {"dtype": "string", "_type": "Value"}, |
| "question": {"dtype": "string", "_type": "Value"}, |
| "referenceAnswer": {"dtype": "string", "_type": "Value"}, |
| "context": {"dtype": "string", "_type": "Value"}, |
| "segments": {"dtype": "string", "_type": "Value"}, |
| "relatedSegmentIds": {"dtype": "string", "_type": "Value"}, |
| "unrelatedSegmentIds": {"dtype": "string", "_type": "Value"}, |
| "keyLinkPairs": {"dtype": "string", "_type": "Value"}, |
| "meta": {"dtype": "string", "_type": "Value"} |
| }, |
| "splits": { |
| "test": { |
| "name": "test", |
| "num_bytes": 2147483, |
| "num_examples": 5000, |
| "dataset_name": "gci-bench" |
| } |
| }, |
| "version": "1.0.0" |
| } |
| } |
|
|
