IndicConBench / benchmark_manifest.json
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{
"benchmark_name": "IndicConBench",
"version": "1.0.0",
"author": "Vikhram S",
"organization": "Vikhram Labs",
"huggingface_url": "https://huggingface.co/datasets/vikhram-labs/IndicConBench",
"license": "apache-2.0",
"total_examples": 8408,
"subsets": {
"IndicConBench-Lite": {
"count": 3720,
"score_range": [
0,
35
],
"file": "benchmark_lite.jsonl"
},
"IndicConBench-Core": {
"count": 4624,
"score_range": [
36,
60
],
"file": "benchmark_core.jsonl"
},
"IndicConBench-Hard": {
"count": 36,
"score_range": [
61,
80
],
"file": "benchmark_hard.jsonl"
},
"IndicConBench-Expert": {
"count": 28,
"score_range": [
81,
100
],
"file": "benchmark_expert.jsonl"
}
},
"task_distribution": {
"qa": 930,
"retrieval": 930,
"reasoning": 930,
"summarization": 1860,
"entailment": 2790,
"classification": 930,
"multihop": 8,
"linking": 10,
"gpqa": 20
},
"language_distribution": {
"en": 4204,
"hi": 4204
},
"knowledge_type_distribution": {
"factual": 3720,
"interpretive": 3694,
"procedural": 930,
"jurisprudential": 54,
"historical": 10
},
"reasoning_depth_distribution": {
"1": 3720,
"3": 3694,
"2": 930,
"4": 36,
"5": 28
},
"difficulty_score_distribution": {
"10-19": 2325,
"100-109": 10,
"20-29": 1395,
"30-39": 465,
"40-49": 1860,
"50-59": 1847,
"60-69": 452,
"70-79": 31,
"80-89": 5,
"90-99": 18
},
"capability_coverage": {
"9. Hallucination Resistance": 4670,
"1. Constitutional Knowledge": 4650,
"2. Constitutional Reasoning": 3758,
"7. Adversarial Robustness": 3740,
"3. Long-Context Reasoning": 1868,
"10. Legal Argument Quality": 950,
"5. Retrieval": 930,
"4. Multi-Hop Legal Reasoning": 38,
"8. Citation Faithfulness": 28,
"citation_accuracy": 20,
"6. Cross-Lingual Transfer": 10
},
"benchmark_dimensions": [
"1. Constitutional Knowledge",
"2. Constitutional Reasoning",
"3. Long-Context Reasoning",
"4. Multi-Hop Legal Reasoning",
"5. Retrieval",
"6. Cross-Lingual Transfer",
"7. Adversarial Robustness",
"8. Citation Faithfulness",
"9. Hallucination Resistance",
"10. Legal Argument Quality"
],
"metrics": [
"EM",
"F1",
"ROUGE-L",
"BERTScore",
"Retrieval_Recall@1",
"Retrieval_Recall@5",
"MRR",
"nDCG",
"Calibration_Error",
"Hallucination_Rate",
"Citation_Accuracy"
],
"evaluation_script": "benchmark/evaluate_benchmark.py",
"leaderboard_script": "benchmark/leaderboard.py"
}