CMDB-1500 / sources.json
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{
"title": "CMDB-1500",
"question_count": 1500,
"source_or_subtask_count": 79,
"source_definition": "79 source and subtask identifiers; multiple subtasks may share an upstream dataset.",
"sources": [
{
"source": "AI2D",
"selected_questions": 30,
"sector": "visual",
"original_splits": {
"test": 30
},
"kinds": {
"choice": 30
},
"upstream_url": "https://huggingface.co/datasets/lmms-lab/ai2d",
"description": "Science diagram multiple-choice questions."
},
{
"source": "ALFRED-high-level-action",
"selected_questions": 19,
"sector": "embodied_actions",
"original_splits": {
"dev": 19
},
"kinds": {
"choice": 19
},
"upstream_url": "https://github.com/askforalfred/alfred",
"description": "Select the demonstrated next high-level action from a task and previous actions."
},
{
"source": "ALFWorld-expert-action-full",
"selected_questions": 18,
"sector": "embodied_actions",
"original_splits": {
"dev": 18
},
"kinds": {
"choice": 18
},
"upstream_url": "https://github.com/alfworld/alfworld",
"description": "Select the demonstrated action from a task and textual observation."
},
{
"source": "Aegis-annotation",
"selected_questions": 44,
"sector": "safety",
"original_splits": {
"test": 44
},
"kinds": {
"choice": 44
},
"upstream_url": "https://huggingface.co/datasets/nvidia/Aegis-AI-Content-Safety-Dataset-1.0",
"description": "Content safety classification using human annotations."
},
{
"source": "BFCL-v3",
"selected_questions": 25,
"sector": "tools",
"original_splits": {
"test": 10,
"dev": 15
},
"kinds": {
"choice": 25
},
"upstream_url": "https://huggingface.co/datasets/gorilla-llm/Berkeley-Function-Calling-Leaderboard",
"description": "Judge whether a tool call is needed."
},
{
"source": "ChineseHP",
"selected_questions": 50,
"sector": "chinese_speech_candidate_judgment",
"original_splits": {
"test": 50
},
"kinds": {
"choice": 50
},
"upstream_url": "https://github.com/tzyll/ChineseHP",
"description": "Select among AISHELL-4 N-best text hypotheses using reference-based character edit distance."
},
{
"source": "DecisionBench/AGT-1",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Which tool to call",
"upstream_sources": [
{
"dataset_id": "bfcl-v3-live",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#bfcl-v3-live",
"dataset_name": "BFCL v3 Live (Berkeley Function-Calling Leaderboard)"
}
],
"description": "Select a tool for a user request"
},
{
"source": "DecisionBench/AGT-2",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Did the injection succeed?",
"upstream_sources": [
{
"dataset_id": "agentdojo",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#agentdojo",
"dataset_name": "AgentDojo recorded runs"
}
],
"description": "Judge whether a prompt injection hijacked an agent"
},
{
"source": "DecisionBench/AGT-3",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Did the agent complete the task?",
"upstream_sources": [
{
"dataset_id": "tau-bench",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#tau-bench",
"dataset_name": "τ-bench historical trajectories"
}
],
"description": "Judge whether an agent completed the user task"
},
{
"source": "DecisionBench/AGT-4",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Is the answer backed by sources?",
"upstream_sources": [
{
"dataset_id": "hagrid",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#hagrid",
"dataset_name": "HAGRID"
}
],
"description": "Verify whether cited evidence supports an answer"
},
{
"source": "DecisionBench/AGT-5",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Which reply is better?",
"upstream_sources": [
{
"dataset_id": "mt-bench-human",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#mt-bench-human",
"dataset_name": "MT-Bench human judgments"
}
],
"description": "Compare the quality of two responses"
},
{
"source": "DecisionBench/COM-1",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Does this product match the query?",
"upstream_sources": [
{
"dataset_id": "amazon-esci",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#amazon-esci",
"dataset_name": "Amazon Shopping Queries Dataset (ESCI)"
}
],
"description": "Assess product relevance to a shopping query"
},
{
"source": "DecisionBench/COM-2",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "What type of product is this?",
"upstream_sources": [
{
"dataset_id": "amazon-berkeley-objects",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#amazon-berkeley-objects",
"dataset_name": "Amazon Berkeley Objects (ABO)"
}
],
"description": "Identify a product type"
},
{
"source": "DecisionBench/COM-3",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Which industry is this company in?",
"upstream_sources": [
{
"dataset_id": "edgar-corpus-10k-business",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#edgar-corpus-10k-business",
"dataset_name": "EDGAR-CORPUS (10-K Item 1) with SEC EDGAR SIC codes"
}
],
"description": "Identify a company industry"
},
{
"source": "DecisionBench/DAT-1",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Which SQL answers the question?",
"upstream_sources": [
{
"dataset_id": "spider",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#spider",
"dataset_name": "Spider (dev set)"
}
],
"description": "Select the SQL query that answers a question"
},
{
"source": "DecisionBench/DAT-2",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Which cell answers the question?",
"upstream_sources": [
{
"dataset_id": "wikitablequestions",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#wikitablequestions",
"dataset_name": "WikiTableQuestions (test set)"
}
],
"description": "Locate the table cell that answers a question"
},
{
"source": "DecisionBench/DAT-4",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "What does this column hold?",
"upstream_sources": [
{
"dataset_id": "congress-legislators",
"selected_questions": 2,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#congress-legislators",
"dataset_name": "congress-legislators (legislators-current.csv)"
},
{
"dataset_id": "federal-register",
"selected_questions": 3,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#federal-register",
"dataset_name": "Federal Register documents API"
},
{
"dataset_id": "fiscal-data",
"selected_questions": 1,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#fiscal-data",
"dataset_name": "U.S. Treasury Fiscal Data"
},
{
"dataset_id": "fivethirtyeight",
"selected_questions": 4,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#fivethirtyeight",
"dataset_name": "FiveThirtyEight data repository"
}
],
"description": "Identify the meaning of a data column"
},
{
"source": "DecisionBench/DOC-2",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Decision, action item, or neither?",
"upstream_sources": [
{
"dataset_id": "ami",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#ami",
"dataset_name": "AMI Meeting Corpus"
}
],
"description": "Classify meeting text as a decision, action item, or neither"
},
{
"source": "DecisionBench/DOC-3",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Which summary is this meeting's?",
"upstream_sources": [
{
"dataset_id": "ami",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#ami",
"dataset_name": "AMI Meeting Corpus"
}
],
"description": "Select the summary corresponding to a meeting"
},
{
"source": "DecisionBench/ENG-1",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Which file must change?",
"upstream_sources": [
{
"dataset_id": "swe-bench-verified",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#swe-bench-verified",
"dataset_name": "SWE-bench Verified"
}
],
"description": "Locate the file that needs to change to resolve an issue"
},
{
"source": "DecisionBench/ENG-2",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "What kind of change is this?",
"upstream_sources": [
{
"dataset_id": "commitpackft",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#commitpackft",
"dataset_name": "CommitPackFT"
}
],
"description": "Classify the type of a code change"
},
{
"source": "DecisionBench/ENG-3",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Which weakness class is this?",
"upstream_sources": [
{
"dataset_id": "nvd",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#nvd",
"dataset_name": "NVD (National Vulnerability Database)"
}
],
"description": "Identify a vulnerability weakness class"
},
{
"source": "DecisionBench/ENG-4",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Live secret or placeholder?",
"upstream_sources": [
{
"dataset_id": "creddata",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#creddata",
"dataset_name": "Samsung CredData"
}
],
"description": "Distinguish a real secret from a placeholder"
},
{
"source": "DecisionBench/ENG-5",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Which message describes this diff?",
"upstream_sources": [
{
"dataset_id": "commitpackft",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#commitpackft",
"dataset_name": "CommitPackFT"
}
],
"description": "Select a commit message for a code diff"
},
{
"source": "DecisionBench/FIN-1",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Which part of the 10-K?",
"upstream_sources": [
{
"dataset_id": "edgar-corpus",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#edgar-corpus",
"dataset_name": "EDGAR-CORPUS"
}
],
"description": "Identify a section of a 10-K filing"
},
{
"source": "DecisionBench/FIN-2",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "What does this 8-K report?",
"upstream_sources": [
{
"dataset_id": "sec-edgar-8k",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#sec-edgar-8k",
"dataset_name": "SEC EDGAR 8-K filings"
}
],
"description": "Identify the event reported in an 8-K filing"
},
{
"source": "DecisionBench/FIN-4",
"selected_questions": 10,
"sector": "domain_decisions",
"original_splits": {
"test": 10
},
"kinds": {
"choice": 10
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "What does this number report?",
"upstream_sources": [
{
"dataset_id": "finer-139",
"selected_questions": 10,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#finer-139",
"dataset_name": "FiNER-139"
}
],
"description": "Identify the financial concept represented by a number"
},
{
"source": "DecisionBench/LEG-1",
"selected_questions": 9,
"sector": "domain_decisions",
"original_splits": {
"test": 9
},
"kinds": {
"choice": 9
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Does the NDA say this?",
"upstream_sources": [
{
"dataset_id": "contractnli",
"selected_questions": 9,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#contractnli",
"dataset_name": "ContractNLI"
}
],
"description": "Determine whether an NDA supports a statement"
},
{
"source": "DecisionBench/LEG-2",
"selected_questions": 9,
"sector": "domain_decisions",
"original_splits": {
"test": 9
},
"kinds": {
"choice": 9
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "What kind of clause is this?",
"upstream_sources": [
{
"dataset_id": "cuad",
"selected_questions": 9,
"source_catalog_url": "https://github.com/atlanai/decision-bench/blob/6fed2cd4c3608b070e649180796ccaef3d020a23/data/SOURCES.md#cuad",
"dataset_name": "CUAD (Contract Understanding Atticus Dataset) v1"
}
],
"description": "Identify a contract clause type"
},
{
"source": "DecisionBench/LEG-3",
"selected_questions": 9,
"sector": "domain_decisions",
"original_splits": {
"test": 9
},
"kinds": {
"choice": 9
},
"immediate_source_url": "https://github.com/atlanai/decision-bench",
"immediate_source_revision": "6fed2cd4c3608b070e649180796ccaef3d020a23",
"immediate_corpus": "bench-v4",
"task_name": "Is this term unfair, and how?",
"upstream_sources": [
{
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