A list of supported tasks and task groupings can be viewed with lm-eval --tasks list.
For more information, including a full list of task names and their precise meanings or sources, follow the links provided to the individual README.md files for each subfolder.
| Task Family | Description | Language(s) |
|---|---|---|
| eq-bench_es | Spanish version of EQ-Bench (EN). Task for evaluating emotional reasoning through dialogue-based prompts. Hugging Face | Spanish Human Translated |
| eq-bench_ca | Catalan version of EQ-Bench (EN). Task for evaluating emotional reasoning through dialogue-based prompts. Hugging Face | Catalan Human Translated |
| aclue | Tasks focusing on ancient Chinese language understanding and cultural aspects. | Ancient Chinese |
| acp_bench | Tasks evaluating the reasoning ability about Action, Change, and Planning | English |
| acp_bench_hard | Tasks evaluating the reasoning ability about Action, Change, and Planning | English |
| aexams | Tasks in Arabic related to various academic exams covering a range of subjects. | Arabic |
| agieval | Tasks involving historical data or questions related to history and historical texts. | English, Chinese |
| aime | High school math competition questions | English |
| anli | Adversarial natural language inference tasks designed to test model robustness. | English |
| arabic_leaderboard_complete | A full version of the tasks in the Open Arabic LLM Leaderboard, focusing on the evaluation of models that reflect the characteristics of Arabic language understanding and comprehension, culture, and heritage. Note that some of these tasks are machine-translated. | Arabic (Some MT) |
| arabic_leaderboard_light | A light version of the tasks in the Open Arabic LLM Leaderboard (i.e., 10% samples of the test set in the original benchmarks), focusing on the evaluation of models that reflect the characteristics of Arabic language understanding and comprehension, culture, and heritage. Note that some of these tasks are machine-translated. | Arabic (Some MT) |
| arabicmmlu | Localized Arabic version of MMLU with multiple-choice questions from 40 subjects. | Arabic |
| ArabCulture | Benchmark for evaluating models' commonsense cultural knowledge across different 13 different Arab Countries. | Arabic |
| AraDICE | A collection of multiple tasks carefully designed to evaluate dialectal and cultural capabilities in large language models (LLMs). | Arabic |
| arc | Tasks involving complex reasoning over a diverse set of questions. | English |
| arithmetic | Tasks involving numerical computations and arithmetic reasoning. | English |
| asdiv | Tasks involving arithmetic and mathematical reasoning challenges. | English |
| babi | Tasks designed as question and answering challenges based on simulated stories. | English |
| babilong | Tasks designed to test whether models can find and reason over facts in long contexts. | English |
| bangla_mmlu | Benchmark dataset for evaluating language models' performance on Bangla (Bengali) language tasks.Includes diverse NLP tasks to measure model understanding and generation capabilities in Bangla. | Bengali/Bangla |
| basque_bench | Collection of tasks in Basque encompassing various evaluation areas. | Basque |
| basqueglue | Tasks designed to evaluate language understanding in Basque language. | Basque |
| bbh | Tasks focused on deep semantic understanding through hypothesization and reasoning. | English, German |
| bbq | A question-answering benchmark designed to measure social biases in language models across various demographic categories and contexts. | English |
| belebele | Language understanding tasks in a variety of languages and scripts. | Multiple (122 languages) |
| benchmarks | General benchmarking tasks that test a wide range of language understanding capabilities. | |
| bertaqa | Local Basque cultural trivia QA tests in English and Basque languages. | English, Basque, Basque (MT) |
| bhs | Grammatical knowledge evaluation for low-resource langauges. | Basque, Hindi, Swahili |
| bigbench | Broad tasks from the BIG-bench benchmark designed to push the boundaries of large models. | Multiple |
| blimp | Tasks testing grammatical phenomena to evaluate language model's linguistic capabilities. | English |
| blimp_nl | A benchmark evaluating language models' grammatical capabilities in Dutch based on comparing the probabilities of minimal pairs of grammatical and ungrammatical sentences. | Dutch |
| c4 | Tasks based on a colossal, cleaned version of Common Crawl's web crawl corpus to assess models' language modeling capabilities. | English |
| cabbq | Adaptation of the BBQ benchmark to the Catalan language and stereotypes prevalent in Spain. | Catalan |
| careqa | Multiple choice and open-ended medical question answering based on the Spanish Specialised Healthcare Training (MIR) exams. | English, Spanish |
| catalan_bench | Collection of tasks in Catalan encompassing various evaluation areas. | Catalan |
| ceval | Tasks that evaluate language understanding and reasoning in an educational context. | Chinese |
| cmmlu | Multi-subject multiple choice question tasks for comprehensive academic assessment. | Chinese |
| code_x_glue | Tasks that involve understanding and generating code across multiple programming languages. | Go, Java, JS, PHP, Python, Ruby |
| cnn_dailymail_abisee | Task designed to measure ability to generate multi-sentence abstractive summaries | Chinese |
| commonsense_qa | CommonsenseQA, a multiple-choice QA dataset for measuring commonsense knowledge. | English |
| copal_id United States | Indonesian causal commonsense reasoning dataset that captures local nuances. | Indonesian |
| coqa | Conversational question answering tasks to test dialog understanding. | English |
| crows_pairs | Tasks designed to test model biases in various sociodemographic groups. | English, French |
| click | A benchmark dataset of Cultural and Linguistic Intelligence in Korean (CLIcK), comprising 1,995 QA pairs sourced from official Korean exams and textbooks to test Korean cultural and linguistic knowledge. | Korean |
| csatqa | Tasks related to SAT and other standardized testing questions for academic assessment. | Korean |
| darija_bench | Traditional NLP tasks (Translation, Summarization, etc..) for Moroccan Darija | Moroccan Darija (some MT) |
| darijahellaswag | Moroccan Darija version of HellaSwag. | Moroccan Darija (MT) |
| darijammlu | Multiple-choice QA in Moroccan Darija (an Arabic dialect). | Moroccan Darija (MT) |
| discrim_eval | Prompts for binary decisions covering 70 scenarios to evaluate demographic bias. | English |
| drop | Tasks requiring numerical reasoning, reading comprehension, and question answering. | English |
| egyhellaswag | Egyptian Arabic (Masri) version of HellaSwag. | Egyptian Arabic (MT) |
| egymmlu | Multiple-choice QA in Egyptian Arabic. | Egyptian Arabic (MT) |
| eq_bench | Tasks focused on equality and ethics in question answering and decision-making. | English |
| esbbq | Adaptation of the BBQ benchmark to the Spanish language and stereotypes prevalent in Spain. | Spanish |
| eus_exams | Tasks based on various professional and academic exams in the Basque language. | Basque |
| eus_proficiency | Tasks designed to test proficiency in the Basque language across various topics. | Basque |
| eus_reading | Reading comprehension tasks specifically designed for the Basque language. | Basque |
| eus_trivia | Trivia atypicnd knowledge testing tasks in the Basque language. | Basque |
| evalita_LLM | A native Italian benchmark with diverse tasks formats and multiple prompts. | Italian |
| fda | Tasks for extracting key-value pairs from FDA documents to test information extraction. | English |
| fld | Tasks involving free-form and directed dialogue understanding. | English |
| french_bench | Set of tasks designed to assess language model performance in French. | French |
| galician_bench | Collection of tasks in Galician encompassing various evaluation areas. | Galician |
| global_mmlu | Collection of culturally sensitive and culturally agnostic MMLU tasks in 15 languages with human translations or post-edits. | Multiple (15 languages) |
| global_piqa | Multilingual (non-parallel) commonsense reasoning benchmark covering 116 language varieties with culturally-specific examples from 65 countries | Multiple (116 languages) Human authored |
| glue | General Language Understanding Evaluation benchmark to test broad language abilities. | English |
| gpqa | Tasks designed for general public question answering and knowledge verification. | English |
| graphwalks | A multi-hop reasoning long-context benchmark | English |
| gsm8k | A benchmark of grade school math problems aimed at evaluating reasoning capabilities. | English |
| groundcocoa | A benchmark evaluating the conditional and compositional reasoning of language models using a grounding task. | English |
| haerae | Tasks focused on assessing detailed factual and historical knowledge. | Korean |
| headqa | A high-level education-based question answering dataset to test specialized knowledge. | Spanish, English |
| hellaswag | Tasks to predict the ending of stories or scenarios, testing comprehension and creativity. | English |
| hendrycks_ethics | Tasks designed to evaluate the ethical reasoning capabilities of models. | English |
| hendrycks_math | Mathematical problem-solving tasks to test numerical reasoning and problem-solving. | English |
| histoires_morales | Evaluation tasks designed to assess moral judgment and ethical reasoning in models within narrative contexts, complementing the single-sentence ETHICS tasks. | French (Some MT) |
| hrm8k | A challenging bilingual math reasoning benchmark for Korean and English. | Korean (Some MT), English (Some MT) |
| humaneval | Code generation task that measure functional correctness for synthesizing programs from docstrings. | Python |
| humaneval_infilling | Code generation task that measure fill-in-the-middle capability for synthesizing programs from docstrings. | Python |
| icelandic_winogrande | Manually translated and localized version of the WinoGrande commonsense reasoning benchmark for Icelandic. | Icelandic |
| ifeval | Interactive fiction evaluation tasks for narrative understanding and reasoning. | English |
| inverse_scaling | Multiple-choice tasks from the Inverse Scaling Prize, designed to find settings where larger language models perform worse. | English |
| japanese_leaderboard | Japanese language understanding tasks to benchmark model performance on various linguistic aspects. | Japanese |
| jsonschema_bench | Evaluate the ability of LLMs to generate JSON objects that conform to a given JSON schema, including API, configuration files, and other structured data formats. | JSON |
| kbl | Korean Benchmark for Legal Language Understanding. | Korean |
| kmmlu | Knowledge-based multi-subject multiple choice questions for academic evaluation. | Korean |
| kobest | A collection of tasks designed to evaluate understanding in Korean language{Fecha: language. | Korean |
| kormedmcqa | Medical question answering tasks in Korean to test specialized domain knowledge. | Korean |
| lambada | Tasks designed to predict the endings of text passages, testing language prediction skills. | English |
| lambada_cloze | Cloze-style LAMBADA dataset. | English |
| lambada_multilingual | Multilingual LAMBADA dataset. This is a legacy version of the multilingual dataset, and users should instead use lambada_multilingual_stablelm. |
German, English, Spanish, French, Italian |
| lambada_multilingual_stablelm | Multilingual LAMBADA dataset. Users should prefer evaluating on this version of the multilingual dataset instead of on lambada_multilingual. |
German, English, Spanish, French, Italian, Dutch, Portuguese |
| leaderboard | Task group used by Hugging Face's Open LLM Leaderboard v2. Those tasks are static and will not change through time | English |
| lingoly | Challenging logical reasoning benchmark in low-resource languages with controls for memorization | English, Multilingual |
| llama3 | Evals reproducing those provided by the LLAMA team in the Hugging Face repo (instruct) | English, Multilingual |
| libra | Evaluates long-context understanding in Russian across four complexity levels | Russian (MT) |
| lm_syneval | Evaluates the syntactic capabilities of language models. | English |
| logiqa | Logical reasoning tasks requiring advanced inference and deduction. | English, Chinese |
| logiqa2 | Large-scale logical reasoning dataset adapted from the Chinese Civil Service Examination. | English, Chinese |
| longbench | LongBench evaluates language models' ability to understand lengthy texts across multiple tasks and languages. | English, Chinese |
| longbenchv2 | longbench v2, multiple-choice variant. | English, Chinese |
| mastermind | Reasoning benchmark based on the board game of Mastermind. | English |
| mathqa | Question answering tasks involving mathematical reasoning and problem-solving. | English |
| mbpp | A benchmark designed to measure the ability to synthesize short Python programs from natural language descriptions. | Python |
| meddialog | Medical open-ended QA and Question Entailment stemming from the MedDialog dataset. | English |
| medtext | Medical open-ended QA from the MedText Clinical Notes dataset. | English |
| mimic_repsum | Medical report summarization from the MIMIC-III dataset. | English |
| mc_taco | Question-answer pairs that require temporal commonsense comprehension. | English |
| med_concepts_qa | Benchmark for evaluating LLMs on their abilities to interpret medical codes and distinguish between medical concept. | English |
| metabench | Distilled versions of six popular benchmarks which are highly predictive of overall benchmark performance and of a single general ability latent trait. | English |
| mediqa_qa2019 | Open-ended healthcare question answering benchmark from the MEDIQA 2019 challenge. | English |
| medmcqa | Medical multiple choice questions assessing detailed medical knowledge. | English |
| medqa | Multiple choice question answering based on the United States Medical License Exams. | |
| meqsum | Healtcare Question Entailment benchmark from the MeqSum dataset. | |
| mgsm | Benchmark of multilingual grade-school math problems. | Spanish, French, German, Russian, Chinese, Japanese, Thai, Swahili, Bengali, Telugu |
| minerva_math | Mathematics-focused tasks requiring numerical reasoning and problem-solving skills. | English |
| mlqa | MultiLingual Question Answering benchmark dataset for evaluating cross-lingual question answering performance. | English, Arabic, German, Spanish, Hindi, Vietnamese, Simplified Chinese |
| mmlu | Massive Multitask Language Understanding benchmark for broad domain language evaluation. Several variants are supported. | English |
| mmlu_redux | Refined Massive Multitask Language Understanding benchmark for broad domain evaluation with improved data quality. | English |
| mmlu_redux | Refined Massive Multitask Language Understanding benchmark for broad domain evaluation with improved data quality. | Spanish |
| mmlu_pro | A refined set of MMLU, integrating more challenging, reasoning-focused questions and expanding the choice set from four to ten options. | English |
| mmlu-pro-plus | A new test set for evaluating shortcut learning and higher-order reasoning of LLMs. | English |
| mmlu_prox | A multilingual benchmark that extends MMLU-Pro to multiple typologically diverse languages with human validation. | English, Japanese, Chinese, Korean, French, German, Spanish, Portuguese, Zulu, Swahili, Wolof, Yoruba, Thai, Arabic, Hindi, Bengali, Serbian, Hungarian, Vietnamese, Czech, Marathi, Afrikaans, Nepali, Telugu, Urdu, Russian, Indonesian, Italian, Ukrainian |
| mmlusr | Variation of MMLU designed to be more rigorous. | English |
| model_written_evals | Evaluation tasks auto-generated for evaluating a collection of AI Safety concerns. | |
| moral_stories | Evaluation tasks designed to assess moral judgment and ethical reasoning in models within narrative contexts, complementing the single-sentence ETHICS tasks. | English |
| mts_dialog | Open-ended healthcare QA from the MTS-Dialog dataset. | English |
| multiblimp | MultiBLiMP is a (synthetic) multilingual benchmark testing models on linguistic minimal pairs to judge grammatical acceptability | Multiple (101 languages) - Synthetic |
| mutual | A retrieval-based dataset for multi-turn dialogue reasoning. | English |
| noreval | A human-created Norwegian language understanding and generation benchmark. | Norwegian (Bokmål and Nynorsk) |
| nq_open | Open domain question answering tasks based on the Natural Questions dataset. | English |
| okapi/arc_multilingual | Tasks that involve reading comprehension and information retrieval challenges. | Multiple (31 languages) Machine Translated. |
| okapi/hellaswag_multilingual | Tasks that involve reading comprehension and information retrieval challenges. | Multiple (30 languages) Machine Translated. |
| okapi/mmlu_multilingual | Tasks that involve reading comprehension and information retrieval challenges. | Multiple (34 languages) Machine Translated. |
| okapi/truthfulqa_multilingual | Tasks that involve reading comprehension and information retrieval challenges. | Multiple (31 languages) Machine Translated. |
| olaph | Open-ended medical factuality Question Answering from the OLAPH dataset. | English |
| openbookqa | Open-book question answering tasks that require external knowledge and reasoning. | English |
| paloma | Paloma is a comprehensive benchmark designed to evaluate open language models across a wide range of domains, ranging from niche artist communities to mental health forums on Reddit. | English |
| paws-x | Paraphrase Adversaries from Word Scrambling, focusing on cross-lingual capabilities. | English, French, Spanish, German, Chinese, Japanese, Korean |
| pile | Open source language modelling data set that consists of 22 smaller, high-quality datasets. | English |
| pile_10k | The first 10K elements of The Pile, useful for debugging models trained on it. | English |
| piqa | Physical Interaction Question Answering tasks to test physical commonsense reasoning. | English |
| polemo2 | Sentiment analysis and emotion detection tasks based on Polish language data. | Polish |
| portuguese_bench | Collection of tasks in European Portuguese encompassing various evaluation areas. | Portuguese |
| prost | Tasks requiring understanding of professional standards and ethics in various domains. | English |
| pubmedqa | Question answering tasks based on PubMed research articles for biomedical understanding. | English |
| qa4mre | Question Answering for Machine Reading Evaluation, assessing comprehension and reasoning. | English |
| qasper | Question Answering dataset based on academic papers, testing in-depth scientific knowledge. | English |
| race | Reading comprehension assessment tasks based on English exams in China. | English |
| realtoxicityprompts | Tasks to evaluate language models for generating text with potential toxicity. | |
| ruler | RULER is a benchmark for testing how well language models handle long pieces of text. Requires custom arg (see readme) | English |
| sciq | Science Question Answering tasks to assess understanding of scientific concepts. | English |
| score | Systematic consistency and robustness evaluation for LLMs on 3 datasets(MMLU-Pro, Agi Eval and MATH) | English |
| scrolls | Tasks that involve long-form reading comprehension across various domains. | English |
| simple_cooccurrence_bias | A metric that evaluates language models for biases based on stereotypical word associations and co-occurrences in text. | English |
| siqa | Social Interaction Question Answering to evaluate common sense and social reasoning. | English |
| spanish_bench | Collection of tasks in Spanish encompassing various evaluation areas. | Spanish |
| squad_completion | A variant of the SQuAD question answering task designed for zero-shot evaluation of small LMs. | English |
| squadv2 | Stanford Question Answering Dataset version 2, a reading comprehension benchmark. | English |
| storycloze | Tasks to predict story endings, focusing on narrative logic and coherence. | English |
| super_glue | A suite of challenging tasks designed to test a range of language understanding skills. | English |
| swag | Situations With Adversarial Generations, predicting the next event in videos. | English |
| swde | Information extraction tasks from semi-structured web pages. | English |
| tinyBenchmarks | Evaluation of large language models with fewer examples using tiny versions of popular benchmarks. | English |
| tmmluplus | An extended set of tasks under the TMMLU framework for broader academic assessments. | Traditional Chinese |
| toxigen | Tasks designed to evaluate language models on their propensity to generate toxic content. | English |
| translation | Tasks focused on evaluating the language translation capabilities of models. | Arabic, English, Spanish, Basque, Hindi, Indonesian, Burmese, Russian, Swahili, Telugu, Chinese |
| triviaqa | A large-scale dataset for trivia question answering to test general knowledge. | English |
| truthfulqa | A QA task aimed at evaluating the truthfulness and factual accuracy of model responses. | English |
| truthfulqa-multi | Is a multilingual version of TruthfulQA, a QA task aimed at evaluating the truthfulness and factual accuracy of model responses. | English, Spanish, Catalan, Basque, Galician |
| turkishmmlu | A multiple-choice QA test modeled after MMLU, written in Turkish based on Turkish high-school level exams. | Turkish |
| turblimp_core | A benchmark evaluating language models' grammatical capabilities in Turkish based on comparing the probabilities of minimal pairs of grammatical and ungrammatical sentences. | Turkish |
| unitxt | A number of tasks implemented using the unitxt library for flexible, shareable, and reusable data preparation and evaluation for generative AI. | English |
| unscramble | Tasks involving the rearrangement of scrambled sentences to test syntactic understanding. | English |
| webqs | Web-based question answering tasks designed to evaluate internet search and retrieval. | English |
| wikitext | Tasks based on text from Wikipedia articles to assess language modeling and generation. | English |
| winogender | A diagnostic dataset that tests for gender bias in coreference resolution by measuring how models associate pronouns with different occupations. | English |
| winogrande | A large-scale dataset for coreference resolution, inspired by the Winograd Schema Challenge. | English |
| wmdp | A benchmark with the objective of minimizing performance, based on potentially-sensitive multiple-choice knowledge questions. | English |
| wmt2016 | Tasks from the WMT 2016 shared task, focusing on translation between multiple languages. | English, Czech, German, Finnish, Russian, Romanian, Turkish |
| wsc273 | The Winograd Schema Challenge, a test of commonsense reasoning and coreference resolution. | English |
| xcopa | Cross-lingual Choice of Plausible Alternatives, testing reasoning in multiple languages. | Estonian, Haitian, Indonesian, Italian, Quechua, Swahili, Tamil, Thai, Turkish, Vietnamese, Chinese |
| xnli | Cross-Lingual Natural Language Inference to test understanding across different languages. | Arabic, Bulgarian, German, Greek, English, Spanish, French, Hindi, Russian, Swahili, Thai, Turkish, Urdu, Vietnamese, Chinese |
| xnli_eu | Cross-lingual Natural Language Inference tasks in Basque. | Basque |
| xquad | Cross-lingual Question Answering Dataset in multiple languages. | Arabic, German, Greek, English, Spanish, Hindi, Romanian, Russian, Thai, Turkish, Vietnamese, Chinese |
| xstorycloze | Cross-lingual narrative understanding tasks to predict story endings in multiple languages. | Russian, Simplified Chinese, Spanish, Arabic, Hindi, Indonesian, Telugu, Swahili, Basque, Burmese |
| xwinograd | Cross-lingual Winograd schema tasks for coreference resolution in multiple languages. | English, French, Japanese, Portuguese, Russian, Chinese |
| zhoblimp | A benchmark evaluating language models' grammatical capabilities in Chinese based on comparing the probabilities of minimal pairs of grammatical and ungrammatical sentences. | Chinese |
| Task Family | Description | Modality |
|---|---|---|
| chartqa | A benchmark for question answering about charts that requires both visual and logical reasoning. | Image, Text |
| mmmu | Evaluate multimodal models on massive multi-discipline tasks demanding college-level subject knowledge. | Image, Text |