wildtrace / croissant.json
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Clean license and corpus header metadata in WildTrace strict481
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{
"@context": {
"@language": "en",
"@vocab": "https://schema.org/",
"cr": "http://mlcommons.org/croissant/",
"rai": "http://mlcommons.org/croissant/RAI/",
"sc": "https://schema.org/",
"dct": "http://purl.org/dc/terms/",
"prov": "http://www.w3.org/ns/prov#",
"conformsTo": "dct:conformsTo",
"citeAs": "cr:citeAs",
"fileObject": "cr:fileObject",
"fileSet": "cr:fileSet",
"recordSet": "cr:recordSet",
"field": "cr:field",
"source": "cr:source",
"extract": "cr:extract",
"jsonPath": "cr:jsonPath",
"dataType": {
"@id": "cr:dataType",
"@type": "@vocab"
}
},
"@type": "sc:Dataset",
"name": "wildtrace-strict481",
"description": "WildTrace strict481 is a source-internal long-context multi-hop reasoning benchmark of natural evidence trails, with 481 locked tasks over 214 public long-form sources. Benchmark annotations and scripts are CC BY 4.0; source texts retain their original terms.",
"conformsTo": "http://mlcommons.org/croissant/1.1",
"url": "https://huggingface.co/datasets/CinderD/wildtrace",
"license": "https://huggingface.co/datasets/CinderD/wildtrace/blob/main/LICENSE",
"version": "wildtrace-strict481-public-2026-07-10",
"datePublished": "2026-07-10",
"creator": {
"@type": "Organization",
"name": "WildTrace authors"
},
"citeAs": "@misc{wildtrace2026, title={WildTrace: Natural Evidence Trails for Source-Internal Multi-Hop Reasoning in Long Contexts}, year={2026}, note={strict481 final release wildtrace_strict481_public_20260710}}",
"keywords": [
"long-context",
"multi-hop-reasoning",
"source-internal-reasoning",
"question-answering",
"benchmark",
"document-qa"
],
"rai:dataLimitations": "Designed for source-internal reasoning over public technical reports and literary narratives. It is not a comprehensive benchmark for all long-context domains, and the Chinese subset is an initial multilingual subset rather than a full multilingual evaluation.",
"rai:dataBiases": "The source mix favors public technical incident reports and literary narratives, including older English and Chinese texts. Public sources may be partially represented in model pretraining data.",
"rai:personalSensitiveInformation": "No private user data is included. Public incident reports may mention real people and events as already disclosed by public agencies.",
"rai:dataUseCases": "Validated for diagnostic evaluation of long-context source-grounded multi-hop reasoning and evidence-relation recovery.",
"rai:dataSocialImpact": "The benchmark improves inspectable long-context evaluation but public release can lead to benchmark contamination or overfitting. Leaderboard claims should disclose possible source exposure.",
"rai:hasSyntheticData": true,
"distribution": [
{
"@type": "cr:FileObject",
"@id": "with-answers-jsonl",
"name": "wildtrace_strict481.with_answers.jsonl",
"description": "Full strict481 benchmark artifact with answers, rubrics, clues, and release metadata.",
"contentUrl": "data/wildtrace_strict481.with_answers.jsonl",
"encodingFormat": "application/jsonlines"
},
{
"@type": "cr:FileObject",
"@id": "questions-only-jsonl",
"name": "wildtrace_strict481.questions_only.jsonl",
"description": "Questions-only evaluation inputs.",
"contentUrl": "data/wildtrace_strict481.questions_only.jsonl",
"encodingFormat": "application/jsonlines"
},
{
"@type": "cr:FileSet",
"@id": "source-corpus-files",
"name": "corpus",
"description": "Source documents referenced by strict481 tasks.",
"encodingFormat": "text/plain",
"includes": "corpus/*.txt"
}
],
"recordSet": [
{
"@type": "cr:RecordSet",
"@id": "questions",
"name": "questions",
"description": "Strict481 test tasks (481 rows).",
"field": [
{
"@type": "cr:Field",
"@id": "questions/question_id",
"name": "question_id",
"description": "Stable task identifier.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "with-answers-jsonl"
},
"extract": {
"jsonPath": "$.question_id"
}
}
},
{
"@type": "cr:Field",
"@id": "questions/paradigm",
"name": "paradigm",
"description": "Primary evidence geometry label.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "with-answers-jsonl"
},
"extract": {
"jsonPath": "$.paradigm"
}
}
},
{
"@type": "cr:Field",
"@id": "questions/context_bucket_half_octave",
"name": "context_bucket_half_octave",
"description": "Document length tier.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "with-answers-jsonl"
},
"extract": {
"jsonPath": "$.context_bucket_half_octave"
}
}
},
{
"@type": "cr:Field",
"@id": "questions/doc_token_estimate",
"name": "doc_token_estimate",
"description": "Release-time document token estimate.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "with-answers-jsonl"
},
"extract": {
"jsonPath": "$.doc_token_estimate"
}
}
},
{
"@type": "cr:Field",
"@id": "questions/corpus_id",
"name": "corpus_id",
"description": "Source document identifier.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "with-answers-jsonl"
},
"extract": {
"jsonPath": "$.corpus_id"
}
}
},
{
"@type": "cr:Field",
"@id": "questions/corpus_file",
"name": "corpus_file",
"description": "Relative path to the source document.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "with-answers-jsonl"
},
"extract": {
"jsonPath": "$.corpus_file"
}
}
},
{
"@type": "cr:Field",
"@id": "questions/question_text",
"name": "question_text",
"description": "Public question shown to the model under test.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "with-answers-jsonl"
},
"extract": {
"jsonPath": "$.question_text"
}
}
}
]
}
]
}