README.md

metadata

license: cc-by-4.0
language:
  - en
pretty_name: Anti-Doping Benchmark
task_categories:
  - multiple-choice
  - question-answering
size_categories:
  - 1K<n<10K
tags:
  - wada
  - sports-law
  - llm-benchmark
  - legal-reasoning

A high-difficulty benchmark for LLMs based on the World Anti-Doping Code (WADA Code 2027).
Models must match article clauses to correct article numbers – a task requiring precise legal knowledge.

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Leaderboard (Top-12)

Model	Accuracy	Relative to Random
GPT 5.5	79.80% (798/1000)	+54.8 pp
Claude Sonnet 4.6	46.60% (466/1000)	+21.6 pp
Llama-4-Maverick-17B	34.00% (340/1000)	+9.0 pp
Google Gemma 4 31B	32.80% (328/1000)	+7.8 pp
Google Gemma 4 26B (a4b)	32.70% (327/1000)	+7.7 pp
GLM 4 32B	28.90% (289/1000)	+3.9 pp
LFM 2 24B (a2b)	27.00% (270/1000)	+2.0 pp
Command R7B	26.60% (266/1000)	+1.6 pp
Step 3.5 Flash	12.80% (128/1000)	-12.2 pp
Nemotron 3 Super 120B (a12b)	11.90% (119/1000)	-13.1 pp
Qwen 3.5 9B	11.20% (112/1000)	-13.8 pp
GPT OSS 120B	3.20% (32/1000)	-21.8 pp
Random baseline	25.0% (250/1000)	-

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Languages

The text in the dataset is in English. The associated BCP-47 code is en.

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Dataset Structure

For the test configuration, each instance contains a line for an anti-doping question and lines with four matching answers to choose from.

{
  "id": "WADA-2027-A-001",
  "level": "A",
  "year": 2027,
  "question_text": "Which WADA rule most precisely matches the following clause: \"Subject to applicable law, to not knowingly employ or permit participation by a Person in a capacity where such employment or participation would conflict with the prohibitions described in Article 10.14.1.\"?",
  "question_type": "MCQ",
  "options": [
    "WADC Art. 20.8.11",
    "WADC Art. 20.2.8",
    "WADC Art. 20.8.13",
    "WADC Art. 20.4.6"
  ],
  "correct_answers": [
    2
  ],
  "explanation_short": "WADC Art. 20.2.8: Subject to applicable law, to not knowingly employ or permit participation by a Person in a capacity where such employment or participation would conflict with the prohibitions described in Article 10.14.1.",
  "source_rule": "WADC Art. 20.2.8",
  "requires_tue": false,
  "tags": [
    "rule violations"
  ],
  "is_adversarial": false,
  "language": "en"
}

For the finetune configuration, each instance contains a line for an anti-doping question and lines with four matching answers to choose from.

{
  "id": "WADA-2027-A-001",
  "level": "A",
  "year": 2027,
  "question_text": "Which of the following details is specifically stated in WADC Art. 20.6.6 regarding \"Person who was not bound by the rules\"?",
  "question_type": "MCQ",
  "options": [
    "the International Standard for Code Compliance by Signatories, and (b) by any other sporting body over which it has authority, in accordance with Article 12",
    "Person who was not bound by the rules adopted pursuant to the Code, who has directly and intentionally engaged in conduct within the previous six (6) years which would have constituted a violation of anti-doping rules if Code-compliant...",
    "first violation was determined based on pre -2027 Code rules, the period of Ineligibility which would have been assessed for that first violation had 2027 Code rules been applicable, shall be applied.165",
    "in line with requirements of the International Standard for Education"
  ],
  "correct_answers": [
    2
  ],
  "explanation_short": "WADC Art. 20.6.6: Person who was not bound by the rules adopted pursuant to the Code, who has directly and intentionally engaged in conduct within the previous six (6) years which would have constituted a violation of anti-doping rules if Code-compliant...",
  "source_rule": "WADC Art. 20.6.6",
  "requires_tue": false,
  "tags": [
    "rule violations"
  ],
  "is_adversarial": false,
  "language": "en"
}

---

Data Splits

name	train
test	1000
finetune	1000

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Why this benchmark?

• Real-world legal reasoning – not trivia, but exact matching of code clauses.
• High difficulty – even top open-source models barely exceed random chance.
• Curated by domain expert – all questions derived directly from WADA Code 2027.

---

@misc{zirtech2026antidoping,
  author = {Zirt Techniques},
  title = {Anti-Doping Benchmark: Evaluating LLMs on the World Anti-Doping Code},
  year = {2026},
  publisher = {Hugging Face},
  note = {1000 questions, WADA Code 2027}
}

---