{
  "@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"
            }
          }
        }
      ]
    }
  ]
}