{
 "body": "\nPart of the [MultiPL-E](multipl_e.md) family.\n\n## What it measures\n\nR is a dynamically typed language built for statistical computing and data analysis. MultiPL-E translates the HumanEval and MBPP prompts into R by rewriting\nthe function signature, docstring and tests with R's own syntax and type system, then asks the\nmodel to complete the function body. The nuprl/MultiPL-E dataset card lists 161 HumanEval-derived items\nand 397 MBPP-derived items for R, both a little short of the original Python pools because a\nhandful of problems could not be ported faithfully. Completions run against a real R toolchain\ninside a container and are checked against the translated tests; there is no partial credit for a\ncompletion that fails to compile or fails any test.\n\n## Reading the numbers\n\nA high pass@1 here shows a model can produce working R for short, self-contained problems whose\nlogic it likely already knows from Python; it does not test R-specific idiom, library or ecosystem\nknowledge beyond what one function needs. Compare this score against `multipl_e_python` and other\nMultiPL-E language pages for the same model: a large gap usually reflects less R in the model's\ntraining data rather than a difference in reasoning ability. See the [MultiPL-E](multipl_e.md) family\npage for dataset licence, contamination and harness details shared by every language in the family.\n",
 "build": {
  "built_at": "2026-09-09T16:56:50+00:00",
  "commit": "0a599558854c0e238c03a0f0d725239cb28f9d11",
  "eligibility_as_of": "2026-09-09"
 },
 "disposition": {
  "canonical_id": "multipl_e_r",
  "reasons": [],
  "status": "unassessed",
  "verified_results": []
 },
 "models_covered": [
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.1",
   "model_id": "openai/gpt-5-1",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 69.5,
   "source": "lmarena.ai, provider-reports, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.1 Chat",
   "model_id": "openai/gpt-5-1-chat-latest",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 69.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.1 Codex",
   "model_id": "openai/gpt-5-1-codex",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 69.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.1 Codex Max",
   "model_id": "openai/gpt-5-1-codex-max",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 69.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.1 Codex mini",
   "model_id": "openai/gpt-5-1-codex-mini",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 69.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Opus 4",
   "model_id": "anthropic/claude-opus-4-20250514",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 68.5,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Opus 4.6",
   "model_id": "anthropic/claude-opus-4-6",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 68.5,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, domain-evals, anthropic-system-card-mythos"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5",
   "model_id": "openai/gpt-5",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5 Chat (latest)",
   "model_id": "openai/gpt-5-chat-latest",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5 Mini",
   "model_id": "openai/gpt-5-mini",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5 Nano",
   "model_id": "openai/gpt-5-nano",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5 Pro",
   "model_id": "openai/gpt-5-pro",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5-Codex",
   "model_id": "openai/gpt-5-codex",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.2",
   "model_id": "openai/gpt-5-2",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.2 Chat",
   "model_id": "openai/gpt-5-2-chat-latest",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.2 Codex",
   "model_id": "openai/gpt-5-2-codex",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.2 Pro",
   "model_id": "openai/gpt-5-2-pro",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.3 Chat (latest)",
   "model_id": "openai/gpt-5-3-chat-latest",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.3 Codex",
   "model_id": "openai/gpt-5-3-codex",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.3 Codex Spark",
   "model_id": "openai/gpt-5-3-codex-spark",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.4",
   "model_id": "openai/gpt-5-4",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports, anthropic-system-card-mythos, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.4 mini",
   "model_id": "openai/gpt-5-4-mini",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.4 nano",
   "model_id": "openai/gpt-5-4-nano",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-5.4 Pro",
   "model_id": "openai/gpt-5-4-pro",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 68.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Opus 4.5",
   "model_id": "anthropic/claude-opus-4-5-20251101",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 67.8,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Opus 4.5 (latest)",
   "model_id": "anthropic/claude-opus-4-5",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 67.8,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "o3",
   "model_id": "openai/o3",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 67.5,
   "source": "lmarena.ai, provider-reports, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Sonnet 4.6",
   "model_id": "anthropic/claude-sonnet-4-6",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 66.8,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Opus 4.1",
   "model_id": "anthropic/claude-opus-4-1-20250805",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 66.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Opus 4.1 (latest)",
   "model_id": "anthropic/claude-opus-4-1",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 66.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Qwen3-Coder 480B-A35B Instruct",
   "model_id": "qwen/qwen3-coder-480b-a35b-instruct",
   "provider": "qwen",
   "provider_display": "Alibaba / Qwen Team",
   "score": 66.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Sonnet 4",
   "model_id": "anthropic/claude-sonnet-4-20250514",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 65.2,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Sonnet 4.5",
   "model_id": "anthropic/claude-sonnet-4-5-20250929",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 65.2,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Sonnet 4.5 (latest)",
   "model_id": "anthropic/claude-sonnet-4-5",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 65.2,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemini 2.5 Pro",
   "model_id": "google/gemini-2-5-pro",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 64.8,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, domain-evals, llm-stats, intlpull"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 4",
   "model_id": "xai/grok-4",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 64.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 4 Fast",
   "model_id": "xai/grok-4-fast",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 64.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 4 Fast (Non-Reasoning)",
   "model_id": "xai/grok-4-fast-non-reasoning",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 64.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 4.1 Fast",
   "model_id": "xai/grok-4-1-fast",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 64.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 4.1 Fast (Non-Reasoning)",
   "model_id": "xai/grok-4-1-fast-non-reasoning",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 64.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 4.20 (Non-Reasoning)",
   "model_id": "xai/grok-4-20-0309-non-reasoning",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 64.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 4.20 (Reasoning)",
   "model_id": "xai/grok-4-20-0309-reasoning",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 64.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 4.20 Multi-Agent",
   "model_id": "xai/grok-4-20-multi-agent-0309",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 64.5,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Opus 4 (latest)",
   "model_id": "anthropic/claude-opus-4-0",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 64.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "o4-mini",
   "model_id": "openai/o4-mini",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 63.8,
   "source": "lmarena.ai, provider-reports, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "o4-mini-deep-research",
   "model_id": "openai/o4-mini-deep-research",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 63.8,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-4.1",
   "model_id": "openai/gpt-4-1",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 63.5,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, domain-evals preference-evals, llm-stats, intlpull"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Qwen3 235B-A22B",
   "model_id": "qwen/qwen3-235b-a22b",
   "provider": "qwen",
   "provider_display": "Alibaba / Qwen Team",
   "score": 62.5,
   "source": "lmarena.ai, provider-reports, preference-evals, llm-stats, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Sonnet 4 (latest)",
   "model_id": "anthropic/claude-sonnet-4-0",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 62.1,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "DeepSeek V3.2 Exp",
   "model_id": "deepseek/deepseek-v3-2-exp",
   "provider": "deepseek",
   "provider_display": "DeepSeek",
   "score": 61.5,
   "source": "lmarena.ai, provider-reports, safety-evals, preference-evals, open-llm-leaderboard-v2, llm-stats"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Sonnet 3.7",
   "model_id": "anthropic/claude-3-7-sonnet-20250219",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 60.5,
   "source": "lmarena.ai, provider-reports, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-4o",
   "model_id": "openai/gpt-4o",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 60.5,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, domain-evals, llm-stats, intlpull"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-4o (2024-05-13)",
   "model_id": "openai/gpt-4o-2024-05-13",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 60.5,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, domain-evals, llm-stats, intlpull"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-4o (2024-08-06)",
   "model_id": "openai/gpt-4o-2024-08-06",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 60.5,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, domain-evals, llm-stats, intlpull"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-4o (2024-11-20)",
   "model_id": "openai/gpt-4o-2024-11-20",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 60.5,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, domain-evals, llm-stats, intlpull"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "o3-mini",
   "model_id": "openai/o3-mini",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 60.5,
   "source": "lmarena.ai, provider-reports, llm-stats, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "DeepSeek R1 0528",
   "model_id": "deepseek/deepseek-r1-0528",
   "provider": "deepseek",
   "provider_display": "DeepSeek",
   "score": 60.2,
   "source": "lmarena.ai, provider-reports, preference-evals, open-llm-leaderboard-v2, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "DeepSeek R1 0528 NVFP4 v2",
   "model_id": "nvidia/deepseek-r1-0528-nvfp4-v2",
   "provider": "nvidia",
   "provider_display": "NVIDIA",
   "score": 60.2,
   "source": "lmarena.ai, provider-reports, preference-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "DeepSeek V3.2",
   "model_id": "deepseek/deepseek-v3-2",
   "provider": "deepseek",
   "provider_display": "DeepSeek",
   "score": 60.2,
   "source": "lmarena.ai, provider-reports, safety-evals, preference-evals, open-llm-leaderboard-v2, llm-stats"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "DeepSeek R1",
   "model_id": "deepseek/deepseek-r1",
   "provider": "deepseek",
   "provider_display": "DeepSeek",
   "score": 58.5,
   "source": "lmarena.ai, provider-reports, preference-evals, open-llm-leaderboard-v2, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "DeepSeek Reasoner",
   "model_id": "deepseek/deepseek-reasoner",
   "provider": "deepseek",
   "provider_display": "DeepSeek",
   "score": 58.5,
   "source": "lmarena.ai, provider-reports, preference-evals, open-llm-leaderboard-v2, llm-stats"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Sonnet 3.5",
   "model_id": "anthropic/claude-3-5-sonnet-20240620",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 58.2,
   "source": "lmarena.ai, provider-reports, llm-stats, intlpull, multimodal-evals, safety-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Sonnet 3.5 v2",
   "model_id": "anthropic/claude-3-5-sonnet-20241022",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 58.2,
   "source": "lmarena.ai, provider-reports, llm-stats, intlpull, multimodal-evals, safety-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-4 Turbo",
   "model_id": "openai/gpt-4-turbo",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 58.2,
   "source": "lmarena.ai, provider-reports, llm-stats, intlpull, multimodal-evals, safety-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Haiku 4.5",
   "model_id": "anthropic/claude-haiku-4-5-20251001",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 56.8,
   "source": "lmarena.ai, provider-reports, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Haiku 4.5 (latest)",
   "model_id": "anthropic/claude-haiku-4-5",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 56.8,
   "source": "lmarena.ai, provider-reports, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 3",
   "model_id": "xai/grok-3",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 56.8,
   "source": "lmarena.ai, provider-reports, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 3 Fast",
   "model_id": "xai/grok-3-fast",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 56.8,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 3 Fast Latest",
   "model_id": "xai/grok-3-fast-latest",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 56.8,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 3 Latest",
   "model_id": "xai/grok-3-latest",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 56.8,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 3 Mini",
   "model_id": "xai/grok-3-mini",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 56.8,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 3 Mini Fast",
   "model_id": "xai/grok-3-mini-fast",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 56.8,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 3 Mini Fast Latest",
   "model_id": "xai/grok-3-mini-fast-latest",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 56.8,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Grok 3 Mini Latest",
   "model_id": "xai/grok-3-mini-latest",
   "provider": "xai",
   "provider_display": "xAI",
   "score": 56.8,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "DeepSeek V3.1",
   "model_id": "deepseek/deepseek-v3-1",
   "provider": "deepseek",
   "provider_display": "DeepSeek",
   "score": 56.5,
   "source": "lmarena.ai, provider-reports, safety-evals, preference-evals, open-llm-leaderboard-v2, llm-stats"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemini 2.5 Flash",
   "model_id": "google/gemini-2-5-flash",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 56.2,
   "source": "lmarena.ai, provider-reports, llm-stats, intlpull"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemini 2.5 Flash Image",
   "model_id": "google/gemini-2-5-flash-image",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 56.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemini 2.5 Flash Image (Preview)",
   "model_id": "google/gemini-2-5-flash-image-preview",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 56.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemini 2.5 Flash Lite",
   "model_id": "google/gemini-2-5-flash-lite",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 56.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemini 2.5 Flash Lite Preview 06-17",
   "model_id": "google/gemini-2-5-flash-lite-preview-06-17",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 56.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemini 2.5 Flash Lite Preview 09-25",
   "model_id": "google/gemini-2-5-flash-lite-preview-09-2025",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 56.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemini 2.5 Flash Preview 04-17",
   "model_id": "google/gemini-2-5-flash-preview-04-17",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 56.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemini 2.5 Flash Preview 05-20",
   "model_id": "google/gemini-2-5-flash-preview-05-20",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 56.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemini 2.5 Flash Preview 09-25",
   "model_id": "google/gemini-2-5-flash-preview-09-2025",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 56.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemini 2.5 Flash Preview TTS",
   "model_id": "google/gemini-2-5-flash-preview-tts",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 56.2,
   "source": "lmarena.ai, provider-reports"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Qwen3 32B",
   "model_id": "qwen/qwen3-32b",
   "provider": "qwen",
   "provider_display": "Alibaba / Qwen Team",
   "score": 55.5,
   "source": "lmarena.ai, provider-reports, preference-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Qwen3 32B AWQ",
   "model_id": "qwen/qwen3-32b-awq",
   "provider": "qwen",
   "provider_display": "Alibaba / Qwen Team",
   "score": 55.5,
   "source": "lmarena.ai, provider-reports, preference-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Qwen3 32B NVFP4",
   "model_id": "nvidia/qwen3-32b-nvfp4",
   "provider": "nvidia",
   "provider_display": "NVIDIA",
   "score": 55.5,
   "source": "lmarena.ai, provider-reports, preference-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Large (latest)",
   "model_id": "mistral/mistral-large-latest",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 55.2,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, open-llm-leaderboard-v2, llm-stats"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Large 2.1",
   "model_id": "mistral/mistral-large-2411",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 55.2,
   "source": "lmarena.ai, provider-reports, safety-evals, preference-evals,, domain-evals open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Large 3",
   "model_id": "mistral/mistral-large-2512",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 55.2,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "DeepSeek V3 0324",
   "model_id": "deepseek/deepseek-v3-0324",
   "provider": "deepseek",
   "provider_display": "DeepSeek",
   "score": 54.2,
   "source": "lmarena.ai, provider-reports, safety-evals, preference-evals, open-llm-leaderboard-v2, llm-stats"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-4",
   "model_id": "openai/gpt-4",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 52.8,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, llm-stats, intlpull"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-4.1 mini",
   "model_id": "openai/gpt-4-1-mini",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 52.8,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, llm-stats, intlpull"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-4.1 nano",
   "model_id": "openai/gpt-4-1-nano",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 52.8,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, llm-stats, intlpull"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Opus 3",
   "model_id": "anthropic/claude-3-opus-20240229",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 52.5,
   "source": "lmarena.ai, provider-reports, llm-stats, multimodal-evals, safety-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "DeepSeek Chat",
   "model_id": "deepseek/deepseek-chat",
   "provider": "deepseek",
   "provider_display": "DeepSeek",
   "score": 52.5,
   "source": "lmarena.ai, provider-reports, safety-evals, preference-evals, open-llm-leaderboard-v2, llm-stats"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "DeepSeek V3",
   "model_id": "deepseek/deepseek-v3",
   "provider": "deepseek",
   "provider_display": "DeepSeek",
   "score": 52.5,
   "source": "lmarena.ai, provider-reports, safety-evals, preference-evals, domain-evals open-llm-leaderboard-v2, llm-stats"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Llama 4 Maverick 17B 128E Instruct",
   "model_id": "meta/llama-4-maverick-17b-128e-instruct",
   "provider": "meta",
   "provider_display": "Meta",
   "score": 52.2,
   "source": "lmarena.ai, provider-reports, llm-stats, domain-evals, multimodal-evals, safety-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Llama-4-Maverick-17B-128E-Instruct-FP8",
   "model_id": "meta/llama-4-maverick-17b-128e-instruct-fp8",
   "provider": "meta",
   "provider_display": "Meta",
   "score": 52.2,
   "source": "lmarena.ai, provider-reports, llm-stats, multimodal-evals, safety-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemma 4 31B",
   "model_id": "google/gemma-4-31b",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 50.5,
   "source": "lmarena.ai, provider-reports, multimodal-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "gemma 4 31B it",
   "model_id": "google/gemma-4-31b-it",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 50.5,
   "source": "lmarena.ai, provider-reports, multimodal-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "gemma 4 31B it GGUF",
   "model_id": "unsloth/gemma-4-31b-it-gguf",
   "provider": "unsloth",
   "provider_display": "Unsloth",
   "score": 50.5,
   "source": "lmarena.ai, provider-reports, multimodal-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemma 4 31B IT NVFP4",
   "model_id": "nvidia/gemma-4-31b-it-nvfp4",
   "provider": "nvidia",
   "provider_display": "NVIDIA",
   "score": 50.5,
   "source": "lmarena.ai, provider-reports, multimodal-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Qwen2.5 72B Instruct",
   "model_id": "qwen/qwen2-5-72b-instruct",
   "provider": "qwen",
   "provider_display": "Alibaba / Qwen Team",
   "score": 50.5,
   "source": "lmarena.ai, provider-reports, safety-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "GPT-4o mini",
   "model_id": "openai/gpt-4o-mini",
   "provider": "openai",
   "provider_display": "OpenAI",
   "score": 50.2,
   "source": "lmarena.ai, provider-reports, multimodal-evals, safety-evals, preference-evals, domain-evals, llm-stats, intlpull"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Llama 4 Scout 17B 16E",
   "model_id": "meta/llama-4-scout-17b-16e",
   "provider": "meta",
   "provider_display": "Meta",
   "score": 48.8,
   "source": "lmarena.ai, provider-reports, llm-stats, multimodal-evals, safety-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Llama 4 Scout 17B 16E Instruct",
   "model_id": "meta/llama-4-scout-17b-16e-instruct",
   "provider": "meta",
   "provider_display": "Meta",
   "score": 48.8,
   "source": "lmarena.ai, provider-reports, llm-stats, domain-evals, multimodal-evals, safety-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Llama-4-Scout-17B-16E-Instruct-FP8",
   "model_id": "meta/llama-4-scout-17b-16e-instruct-fp8",
   "provider": "meta",
   "provider_display": "Meta",
   "score": 48.8,
   "source": "lmarena.ai, provider-reports, llm-stats, multimodal-evals, safety-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Haiku 3.5",
   "model_id": "anthropic/claude-3-5-haiku-20241022",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 48.5,
   "source": "lmarena.ai, provider-reports, llm-stats, domain-evals, safety-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Claude Haiku 3.5 (latest)",
   "model_id": "anthropic/claude-3-5-haiku-latest",
   "provider": "anthropic",
   "provider_display": "Anthropic",
   "score": 48.5,
   "source": "lmarena.ai, provider-reports, llm-stats, domain-evals, safety-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Llama 3.3 70B Instruct NVFP4",
   "model_id": "nvidia/llama-3-3-70b-instruct-nvfp4",
   "provider": "nvidia",
   "provider_display": "NVIDIA",
   "score": 48.5,
   "source": "lmarena.ai, provider-reports, safety-evals, preference-evals, open-llm-leaderboard-v2, llm-stats"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Llama-3.3-70B-Instruct",
   "model_id": "meta/llama-3-3-70b-instruct",
   "provider": "meta",
   "provider_display": "Meta",
   "score": 48.5,
   "source": "lmarena.ai, provider-reports, safety-evals, preference-evals, open-llm-leaderboard-v2, llm-stats"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Medium (latest)",
   "model_id": "mistral/mistral-medium-latest",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 48.5,
   "source": "lmarena.ai, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Medium 3",
   "model_id": "mistral/mistral-medium-2505",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 48.5,
   "source": "lmarena.ai, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Medium 3.1",
   "model_id": "mistral/mistral-medium-2508",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 48.5,
   "source": "lmarena.ai, domain-evals"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Gemma 4 26B",
   "model_id": "google/gemma-4-26b",
   "provider": "google",
   "provider_display": "Google DeepMind",
   "score": 48.2,
   "source": "lmarena.ai, provider-reports, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "phi 4",
   "model_id": "microsoft/phi-4",
   "provider": "microsoft",
   "provider_display": "Microsoft",
   "score": 48.2,
   "source": "lmarena.ai, provider-reports, preference-evals, open-llm-leaderboard-v2,, domain-evals llm-stats"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Llama 3.1 70B",
   "model_id": "meta/llama-3-1-70b",
   "provider": "meta",
   "provider_display": "Meta",
   "score": 46.5,
   "source": "lmarena.ai, provider-reports, safety-evals, domain-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Llama 3.1 70B Instruct",
   "model_id": "meta/llama-3-1-70b-instruct",
   "provider": "meta",
   "provider_display": "Meta",
   "score": 46.5,
   "source": "lmarena.ai, provider-reports, safety-evals, domain-evals, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Small (latest)",
   "model_id": "mistral/mistral-small-latest",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 40.5,
   "source": "lmarena.ai"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Small 24B Instruct 2501",
   "model_id": "mistral/mistral-small-24b-instruct-2501",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 40.5,
   "source": "lmarena.ai"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Small 3.1 24B Instruct 2503",
   "model_id": "mistral/mistral-small-3-1-24b-instruct-2503",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 40.5,
   "source": "lmarena.ai"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Small 3.2",
   "model_id": "mistral/mistral-small-2506",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 40.5,
   "source": "lmarena.ai"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Small 3.2 24B Instruct 2506",
   "model_id": "mistral/mistral-small-3-2-24b-instruct-2506",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 40.5,
   "source": "lmarena.ai"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Small 4",
   "model_id": "mistral/mistral-small-2603",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 40.5,
   "source": "lmarena.ai"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Mistral Small 4 119B 2603",
   "model_id": "mistral/mistral-small-4-119b-2603",
   "provider": "mistral",
   "provider_display": "Mistral AI",
   "score": 40.5,
   "source": "lmarena.ai"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "Phi 4 mini instruct",
   "model_id": "microsoft/phi-4-mini-instruct",
   "provider": "microsoft",
   "provider_display": "Microsoft",
   "score": 36.5,
   "source": "lmarena.ai, provider-reports, preference-evals, llm-stats, open-llm-leaderboard-v2"
  },
  {
   "as_of": "2026-04",
   "attribution": "unverified-legacy",
   "display_name": "CodeLlama 34B Instruct hf",
   "model_id": "meta/codellama-34b-instruct-hf",
   "provider": "meta",
   "provider_display": "Meta",
   "score": 28.5,
   "source": "bigcode-leaderboard, provider-reports, open-llm-leaderboard-v1"
  }
 ],
 "page": {
  "aliases": [],
  "category": "coding",
  "contamination": {
   "note": "Inherits the source HumanEval/MBPP contamination risk (public since 2021-2022); see the multipl_e family page for detail.",
   "risk": "high"
  },
  "dataset": {
   "languages": [
    "R"
   ],
   "license": "MIT",
   "modalities": [
    "code"
   ],
   "public_test_set": true,
   "size": null,
   "size_note": "Reading the nuprl/MultiPL-E dataset card on 2026-09-07: 161 HumanEval-derived items (of the original 164) and 397 MBPP-derived items, both a little short of the full Python originals because a handful of problems could not be ported to R faithfully.",
   "splits": "test (humaneval-r and mbpp-r configs)",
   "url": "https://huggingface.co/datasets/nuprl/MultiPL-E"
  },
  "freshness": {
   "researched": "2026-09-07",
   "researched_by": "sonnet-5 agent, batch 1, slice C",
   "reviewed": "",
   "reviewed_by": ""
  },
  "harness": {
   "bigbench": "",
   "helm": "",
   "inspect_evals": "",
   "lm_eval": "",
   "opencompass": "",
   "other": "bigcode-evaluation-harness task multiple-r"
  },
  "id": "multipl_e_r",
  "last_updated": "",
  "leaderboard_url": "",
  "lineage": {
   "family": "multipl_e",
   "predecessor": "",
   "successors": [],
   "variants": []
  },
  "measures": "This subset translates the HumanEval and MBPP prompts into R by rewriting each problem's function signature, docstring and tests with R syntax and typing, then asks the model to complete the function body in R. The underlying algorithmic problem is unchanged from the Python original; only the surface language differs.\n",
  "metric": {
   "baseline_note": "No published human baseline.",
   "direction": "higher_is_better",
   "human_baseline": null,
   "max_score": 100,
   "name": "pass@1",
   "random_baseline": 0,
   "unit": "%"
  },
  "name": "MultiPL-E: R",
  "page_kind": "subset",
  "paper": {
   "arxiv": "2208.08227",
   "title": "MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation",
   "url": "https://arxiv.org/abs/2208.08227",
   "year": 2022
  },
  "publisher": {
   "authors": [
    "Federico Cassano",
    "John Gouwar",
    "Daniel Nguyen",
    "Sydney Nguyen",
    "Luna Phipps-Costin",
    "Donald Pinckney",
    "Ming-Ho Yee",
    "Yangtian Zi",
    "Carolyn Jane Anderson",
    "Molly Q Feldman",
    "Arjun Guha",
    "Michael Greenberg",
    "Abhinav Jangda"
   ],
   "org": "Northeastern University Programming Research Lab (nuprl)",
   "url": "https://github.com/nuprl/MultiPL-E"
  },
  "released": "2022-08",
  "repo_url": "https://github.com/nuprl/MultiPL-E",
  "saturation": {
   "as_of": "",
   "note": "Not established at the per-language level; see the multipl_e family page for the general pattern of high-resource versus low-resource language spread.",
   "status": "unknown",
   "top_score": null
  },
  "sources": [
   {
    "accessed": "2026-09-07",
    "title": "MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation",
    "url": "https://arxiv.org/abs/2208.08227"
   },
   {
    "accessed": "2026-09-07",
    "title": "nuprl/MultiPL-E dataset card",
    "url": "https://huggingface.co/datasets/nuprl/MultiPL-E"
   },
   {
    "accessed": "2026-09-07",
    "title": "nuprl/MultiPL-E repository",
    "url": "https://github.com/nuprl/MultiPL-E"
   }
  ],
  "status": "active",
  "subcategory": "multilingual code generation",
  "summary": "The R subset of MultiPL-E: HumanEval and MBPP function-completion problems translated into R and scored with pass@1.",
  "tags": [
   "code-generation",
   "r",
   "pass-at-k",
   "humaneval",
   "mbpp"
  ],
  "task_format": "Function completion in R: given a translated signature, docstring and (for HumanEval-derived items) doctests, the model generates a function body, which is compiled or interpreted with a real R toolchain inside a container and checked against translated unit tests.\n"
 }
}