{"record": {"aliases": [], "artifacts": [], "categories": [], "description": {}, "documents": [{"document_type": "registry_page", "id": "benchmark_saturation:https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "source": "benchmark_saturation", "source_url": "https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "title": "LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models"}], "evidence_summary": {"document_count": 1, "model_count": null, "model_count_basis": null}, "key": "benchmark-saturation:13", "modality": null, "name": "LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models", "openness": {"code_license": null, "data_license": null, "evidence": [], "status": "unknown"}, "provenance": {"crawl_bundle": "benchmark_saturation_2026-11-04", "crawled_at": "2026-11-04T06:47:00Z", "source_url": "https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv"}, "publisher": null, "released": "2023-08-21", "released_reference": {"basis": "benchmark_release", "source_key": "benchmark-saturation:13", "source_url": "https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv"}, "schema_version": 1, "sizes": [], "slug": "benchmark-saturation-13", "source": "benchmark_saturation", "source_benchmark_id": "13", "source_metadata": {"benchmark_saturation": {"dataset_issues": "No known issues", "saturation_index": "0.7158515324", "saturation_index_interpreted": "High", "test_samples": "100,000"}}}, "schema_version": 1, "scores_by_source": {"benchmark_saturation": {"rows": [{"comparable_group": null, "crawled_at": "2026-11-04T06:47:00Z", "date_precision": "model_announcement", "document_id": "benchmark_saturation:https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "key": "benchmark-saturation:13", "measured_by": null, "model_id": null, "model_name": "GPT 5", "obs_id": "benchmark_saturation:13:unidentified-22ff8b0c514c38e7ee7f", "organization": null, "rank_in_source_response": 1, "raw_value": "84.5", "reported_by": "unknown", "reported_date": null, "series_id": "benchmark_saturation:13:default", "source": "benchmark_saturation", "source_url": "https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "value": 84.5, "value_kind": "number"}, {"comparable_group": null, "crawled_at": "2026-11-04T06:47:00Z", "date_precision": "model_announcement", "document_id": "benchmark_saturation:https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "key": "benchmark-saturation:13", "measured_by": null, "model_id": null, "model_name": "Gemini 2.5 Pro Exp", "obs_id": "benchmark_saturation:13:unidentified-cf6c1fc3d54b37574294", "organization": null, "rank_in_source_response": 2, "raw_value": "83.6", "reported_by": "unknown", "reported_date": null, "series_id": "benchmark_saturation:13:default", "source": "benchmark_saturation", "source_url": "https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "value": 83.6, "value_kind": "number"}, {"comparable_group": null, "crawled_at": "2026-11-04T06:47:00Z", "date_precision": "model_announcement", "document_id": "benchmark_saturation:https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "key": "benchmark-saturation:13", "measured_by": null, "model_id": null, "model_name": "Grok 4", "obs_id": "benchmark_saturation:13:unidentified-1e656ba2d3764818bf60", "organization": null, "rank_in_source_response": 3, "raw_value": "83.4", "reported_by": "unknown", "reported_date": null, "series_id": "benchmark_saturation:13:default", "source": "benchmark_saturation", "source_url": "https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "value": 83.4, "value_kind": "number"}, {"comparable_group": null, "crawled_at": "2026-11-04T06:47:00Z", "date_precision": "model_announcement", "document_id": "benchmark_saturation:https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "key": "benchmark-saturation:13", "measured_by": null, "model_id": null, "model_name": "Claude Sonnet 4.5", "obs_id": "benchmark_saturation:13:unidentified-9da2c93ae4ef167a6783", "organization": null, "rank_in_source_response": 4, "raw_value": "83.2", "reported_by": "unknown", "reported_date": null, "series_id": "benchmark_saturation:13:default", "source": "benchmark_saturation", "source_url": "https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "value": 83.2, "value_kind": "number"}, {"comparable_group": null, "crawled_at": "2026-11-04T06:47:00Z", "date_precision": "model_announcement", "document_id": "benchmark_saturation:https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "key": "benchmark-saturation:13", "measured_by": null, "model_id": null, "model_name": "Gemini 2.5 Flash Preview", "obs_id": "benchmark_saturation:13:unidentified-bf4657c1eec16c342168", "organization": null, "rank_in_source_response": 5, "raw_value": "82.8", "reported_by": "unknown", "reported_date": null, "series_id": "benchmark_saturation:13:default", "source": "benchmark_saturation", "source_url": "https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv", "value": 82.8, "value_kind": "number"}], "series": {"bounds": {"basis": "aggregator_declared", "max": null, "min": null}, "declared_max": null, "direction": "higher_is_better", "direction_basis": "source_rank_descending", "display_scale": null, "first_score_record": null, "first_score_report": null, "key": "benchmark-saturation:13", "max_score_contradicted": false, "metric": "Accuracy, BLEU4, Task-specific Metrics", "observation_count": 5, "observed_max": 84.5, "score_summary": {"display_max": 84.5, "display_multiplier": 1, "model_count": null, "model_count_basis": null, "numeric_count": 5, "raw_max": 84.5, "raw_min": 82.8, "source_reference": {"crawled_at": "2026-11-04T06:47:00Z", "obs_id": "benchmark_saturation:13:unidentified-22ff8b0c514c38e7ee7f", "reported_date": null, "source_url": "https://github.com/evaleval/benchmark-saturation/blob/6285e3dda145f575a0ccb3f7f4d70cd429832add/data/manual_annotation_data.csv"}, "unit": null}, "series_id": "benchmark_saturation:13:default"}}}, "siblings": []}