tasks_metadata.json

{
  "benczechmark_propaganda_argumentace": {
    "name": "Propaganda – Argumentace",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_argumentace",
    "short_name": "P-Argumentace",
    "category": "NLI",
    "abbreviation": "P-ARG",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_fabulace": {
    "name": "Propaganda – Fabulace",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_fabulace",
    "short_name": "P-Fabulace",
    "category": "NLI",
    "abbreviation": "P-FAB",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_nazor": {
    "name": "Propaganda – Názor",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_nazor",
    "short_name": "P-Názor",
    "category": "NLI",
    "abbreviation": "P-NAZOR",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_strach": {
    "name": "Propaganda – Strach",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_strach",
    "short_name": "P-Strach",
    "category": "NLI",
    "abbreviation": "P-STCH",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_zamereni": {
    "name": "Propaganda – Zaměření",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_zamereni",
    "short_name": "P-Zaměření",
    "category": "NLI",
    "abbreviation": "P-MER",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_demonizace": {
    "name": "Propaganda – Démonizace",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_demonizace",
    "short_name": "P-Démonizace",
    "category": "NLI",
    "abbreviation": "P-DEMON",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_lokace": {
    "name": "Propaganda – Lokace",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_lokace",
    "short_name": "P-Lokace",
    "category": "NLI",
    "abbreviation": "P-LOK",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_relativizace": {
    "name": "Propaganda – Relativizace",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_relativizace",
    "short_name": "P-Relativizace",
    "category": "NLI",
    "abbreviation": "P-REL",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_vina": {
    "name": "Propaganda – Vina",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_vina",
    "short_name": "P-Vina",
    "category": "NLI",
    "abbreviation": "P-VINA",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_zanr": {
    "name": "Propaganda – Žánr",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_zanr",
    "short_name": "P-Žánr",
    "category": "NLI",
    "abbreviation": "P-ZANR",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_emoce": {
    "name": "Propaganda – Emoce",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_emoce",
    "short_name": "P-Emoce",
    "category": "NLI",
    "abbreviation": "P-EMOCE",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_nalepkovani": {
    "name": "Propaganda – Nálepkování",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_nalepkovani",
    "short_name": "P-Nálepkování",
    "category": "NLI",
    "abbreviation": "P-LEP",
    "metric": "avg_mcauroc"
  },
  "benczechmark_propaganda_rusko": {
    "name": "Propaganda – Rusko",
    "source_url": "https://huggingface.co/datasets/CZLC/propaganda_rusko",
    "short_name": "P-Rusko",
    "category": "NLI",
    "abbreviation": "P-RUS",
    "metric": "avg_mcauroc"
  },
  "benczechmark_sentiment_mall": {
    "name": "CzechSentiment MALL",
    "source_url": "https://huggingface.co/datasets/CZLC/mall_sentiment_balanced",
    "short_name": "S-Mall",
    "category": "Sentiment",
    "abbreviation": "S-MALL",
    "metric": "avg_mcauroc"
  },
  "benczechmark_sentiment_fb": {
    "name": "CzechSentiment FB",
    "source_url": "https://huggingface.co/datasets/CZLC/fb_sentiment_balanced",
    "short_name": "S-FB",
    "category": "Sentiment",
    "abbreviation": "S-FB",
    "metric": "avg_mcauroc"
  },
  "benczechmark_sentiment_csfd": {
    "name": "CzechSentiment CSFD",
    "source_url": "https://huggingface.co/datasets/CZLC/csfd_sentiment_balanced",
    "short_name": "S-CSFD",
    "category": "Sentiment",
    "abbreviation": "S-CSFD",
    "metric": "avg_mcauroc"
  },
  "benczechmark_grammarerrorcorrection": {
    "name": "GrammarErrorCorrection",
    "source_url": "https://huggingface.co/datasets/CZLC/cs_gec",
    "short_name": "Grammar Error Correction",
    "category": "Czech Language Understanding",
    "abbreviation": "GEC",
    "metric": "avg_mcauroc"
  },
  "benczechmark_cs_naturalquestions": {
    "name": "NaturalQuestions-CZ",
    "source_url": "https://huggingface.co/datasets/CZLC/cs_naturalquestions",
    "short_name": "CS Natural Questions",
    "category": "Factual Knowledge",
    "abbreviation": "NQ",
    "metric": "exact_match"
  },
  "benczechmark_cs_sqad32": {
    "name": "SQAD3.2",
    "source_url": "https://huggingface.co/datasets/CZLC/SQAD_3.2",
    "short_name": "CS SQAD 3.2",
    "category": "Reading Comprehension",
    "abbreviation": "SQAD32",
    "metric": "exact_match"
  },
  "benczechmark_cs_triviaQA": {
    "name": "TriviaQA-CZ",
    "source_url": "https://huggingface.co/datasets/CZLC/cs_triviaqa",
    "short_name": "CS TriviaQA",
    "category": "Factual Knowledge",
    "abbreviation": "TQA",
    "metric": "exact_match"
  },
  "benczechmark_csfever_nli": {
    "name": "CSFEVER",
    "source_url": "https://huggingface.co/datasets/ctu-aic/csfever_nli",
    "short_name": "CSFever NLI",
    "category": "NLI",
    "abbreviation": "CFR",
    "metric": "avg_mcauroc"
  },
  "benczechmark_ctkfacts_nli": {
    "name": "CTKFACTS",
    "source_url": "https://huggingface.co/datasets/ctu-aic/ctkfacts_nli",
    "short_name": "CTKFacts NLI",
    "category": "NLI",
    "abbreviation": "CTK",
    "metric": "avg_mcauroc"
  },
  "benczechmark_cs_ner": {
    "name": "Czech Named Entity Corpus 2.0\n",
    "source_url": "https://huggingface.co/datasets/CZLC/cnec_2.0",
    "short_name": "CNEC2.0",
    "category": "NER",
    "abbreviation": "CNEC",
    "metric": "exact_match"
  },
  "benczechmark_hellaswag": {
    "name": "HellaSwag-CZ",
    "source_url": "https://huggingface.co/datasets/CZLC/cs_hellaswag",
    "short_name": "HellaSwag",
    "category": "Language Modeling",
    "abbreviation": "HASG",
    "metric": "acc"
  },
  "benczechmark_histcorpus": {
    "name": "Historical Corpus",
    "source_url": "https://huggingface.co/datasets/CZLC/benczechmark_histcorpus",
    "short_name": "HistCorpus",
    "category": "Language Modeling",
    "abbreviation": "HIST",
    "metric": "word_perplexity"
  },
  "benczechmark_klokan_qa": {
    "name": "Klokan QA",
    "source_url": "https://huggingface.co/datasets/hynky/klokan-qa",
    "short_name": "Klokan QA",
    "category": "Czech Math Reasoning",
    "abbreviation": "KQA",
    "metric": "acc"
  },
  "benczechmark_cs_court_decisions_ner": {
    "name": "Czech Court Decisions",
    "source_url": "https://huggingface.co/datasets/CZLC/ner_court_decisions",
    "short_name": "CS Court Decisions NER",
    "category": "NER",
    "abbreviation": "CCDNER",
    "metric": "exact_match"
  },
  "benczechmark_umimeto_biology": {
    "name": "Umimeto.cz – Biology",
    "source_url": "https://huggingface.co/datasets/CZLC/umimeto-qa/viewer/biology",
    "short_name": "Umimeto.cz – Biology",
    "category": "Factual Knowledge",
    "abbreviation": "UT-BIO",
    "metric": "acc"
  },
  "benczechmark_umimeto_chemistry": {
    "name": "Umimeto.cz – Chemistry",
    "source_url": "https://huggingface.co/datasets/CZLC/umimeto-qa/viewer/chemistry",
    "short_name": "Umimeto.cz – Chemistry",
    "category": "Factual Knowledge",
    "abbreviation": "UT-CHEM",
    "metric": "acc"
  },
  "benczechmark_umimeto_czech": {
    "name": "Umimeto.cz – Czech Language",
    "source_url": "https://huggingface.co/datasets/CZLC/umimeto-qa/viewer/czech",
    "short_name": "Umimeto.cz – Czech",
    "category": "Czech Language Understanding",
    "abbreviation": "UT-CZEL",
    "metric": "acc"
  },
  "benczechmark_umimeto_history": {
    "name": "Umimeto.cz – History",
    "source_url": "https://huggingface.co/datasets/CZLC/umimeto-qa/viewer/history",
    "short_name": "Umimeto.cz – History",
    "category": "Factual Knowledge",
    "abbreviation": "UT-HIST",
    "metric": "acc"
  },
  "benczechmark_umimeto_informatics": {
    "name": "Umimeto.cz – Informatics",
    "source_url": "https://huggingface.co/datasets/CZLC/umimeto-qa/viewer/informatics",
    "short_name": "Umimeto.cz – Informatics",
    "category": "Factual Knowledge",
    "abbreviation": "UT-IT",
    "metric": "acc"
  },
  "benczechmark_umimeto_math": {
    "name": "Umimeto.cz – Math",
    "source_url": "https://huggingface.co/datasets/CZLC/umimeto-qa/viewer/math",
    "short_name": "Umimeto.cz – Math",
    "category": "Czech Math Reasoning",
    "abbreviation": "UT-MATH",
    "metric": "acc"
  },
  "benczechmark_umimeto_physics": {
    "name": "Umimeto.cz – Physics",
    "source_url": "https://huggingface.co/datasets/CZLC/umimeto-qa/viewer/physics",
    "short_name": "Umimeto.cz – Physics",
    "category": "Factual Knowledge",
    "abbreviation": "UT-PHYS",
    "metric": "acc"
  },
  "benczechmark_cermat_czmath_mc": {
    "name": "CERMAT – Czech Math – MC",
    "source_url": "https://huggingface.co/datasets/CZLC/cermat_math_mc",
    "short_name": "Cermat Czech Math MC",
    "category": "Czech Math Reasoning",
    "abbreviation": "CCM-MC",
    "metric": "acc"
  },
  "benczechmark_cermat_czmath_open": {
    "name": "CERMAT – Czech Math – OPEN",
    "source_url": "https://huggingface.co/datasets/CZLC/cermat_math_open",
    "short_name": "Cermat Czech Math Open",
    "category": "Czech Math Reasoning",
    "abbreviation": "CCM-OPEN",
    "metric": "exact_match"
  },
  "benczechmark_cermat_czech_tf": {
    "name": "CERMAT – Czech Language – TF",
    "source_url": "https://huggingface.co/datasets/CZLC/cermat_czech_tf",
    "short_name": "Cermat Czech Language TF",
    "category": "Czech Language Understanding",
    "abbreviation": "CCL-TF",
    "metric": "avg_mcauroc"
  },
  "benczechmark_cermat_czech_mc": {
    "name": "CERMAT – Czech Language – MC",
    "source_url": "https://huggingface.co/datasets/CZLC/cermat_czech_mc",
    "short_name": "Cermat Czech Language MC",
    "category": "Czech Language Understanding",
    "abbreviation": "CCL-MC",
    "metric": "acc"
  },
  "benczechmark_cermat_czech_open": {
    "name": "CERMAT – Czech Language – OPEN",
    "source_url": "https://huggingface.co/datasets/CZLC/cermat_czech_open",
    "short_name": "Cermat Czech Language Open",
    "category": "Czech Language Understanding",
    "abbreviation": "CCL-OPEN",
    "metric": "exact_match"
  },
  "benczechmark_history_ir": {
    "name": "Historical Relevance Grading",
    "source_url": "https://huggingface.co/datasets/CZLC/history_retrieval",
    "abbreviation": "HIST-IR",
    "category": "Historical",
    "short_name": "Czech History IR",
    "metric": "acc"
  },
  "benczechmark_agree": {
    "name": "Agree",
    "source_url": "https://huggingface.co/datasets/davidadamczyk/czechbench_agree",
    "abbreviation": "Agree",
    "category": "Czech Language Understanding",
    "short_name": "Agree",
    "metric": "avg_mcauroc"
  },
  "benczechmark_belebele": {
    "name": "Belebele",
    "source_url": "https://huggingface.co/datasets/davidadamczyk/czechbench_belebele",
    "abbreviation": "BB",
    "category": "Reading Comprehension",
    "short_name": "Belebele",
    "metric": "acc"
  },
  "benczechmark_subjectivity": {
    "name": "Subjectivity",
    "source_url": "https://huggingface.co/datasets/davidadamczyk/czechbench_subjectivity",
    "abbreviation": "SUBJ",
    "category": "Sentiment",
    "short_name": "Subjectivity",
    "metric": "avg_mcauroc"
  },
  "benczechmark_essay": {
    "name": "Czech National Corpus – Essays",
    "source_url": "https://huggingface.co/datasets/CZLC/CNC_skript12",
    "abbreviation": "CNC-E",
    "category": "Language Modeling",
    "short_name": "CNC – Essays",
    "metric": "word_perplexity"
  },
  "benczechmark_fiction": {
    "name": "Czech National Corpus – Fiction",
    "source_url": "https://huggingface.co/datasets/CZLC/CNC_fictree",
    "abbreviation": "CNC-F",
    "category": "Language Modeling",
    "short_name": "CNC – Fiction",
    "metric": "word_perplexity"
  },
  "benczechmark_correspondence": {
    "name": "Czech National Corpus – Correspondence",
    "source_url": "https://huggingface.co/datasets/CZLC/CNC_KSK",
    "abbreviation": "CNC-KSK",
    "category": "Language Modeling",
    "short_name": "CNC – Correspondence",
    "metric": "word_perplexity"
  },
  "benczechmark_havlicek": {
    "name": "Czech National Corpus – Karel Havlíček – Noviny",
    "source_url": "https://huggingface.co/datasets/CZLC/CNC_KHavlicek_HistNews",
    "abbreviation": "CNC-KH",
    "category": "Language Modeling",
    "short_name": "CNC – KHavlicek – HistNews",
    "metric": "word_perplexity"
  },
  "benczechmark_spoken": {
    "name": "Czech National Corpus – Spoken",
    "source_url": "https://huggingface.co/datasets/CZLC/CNC_oral_ortofon",
    "abbreviation": "CNC-SPK",
    "category": "Language Modeling",
    "short_name": "CNC – Spoken",
    "metric": "word_perplexity"
  },
  "benczechmark_dialect": {
    "name": "Czech National Corpus – Dialect",
    "source_url": "https://huggingface.co/datasets/CZLC/CNC_Dialekt",
    "abbreviation": "CNC-DIAL",
    "category": "Language Modeling",
    "short_name": "CNC – DIALEKT",
    "metric": "word_perplexity"
  },
  "benczechmark_snli": {
    "name": "Czech SNLI",
    "source_url": "https://huggingface.co/datasets/CZLC/cs_snli",
    "abbreviation": "SNLI",
    "category": "NLI",
    "short_name": "Czech SNLI",
    "metric": "avg_mcauroc"
  }
}