Datasets:
davanstrien
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summary-test

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ahmed-ai/skin-lesions-classification-dataset
--- license: mit dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': Actinic keratoses '1': Basal cell carcinoma '2': Benign keratosis-like lesions '3': Chickenpox '4': Cowpox '5': Dermatofibroma '6': HFMD '7': Healthy '8': Measles '9': Melanocytic nevi '10': Melanoma '11': Monkeypox '12': Squamous cell carcinoma '13': Vascular lesions splits: - name: train num_bytes: 11781822388.236 num_examples: 29322 - name: validation num_bytes: 1129580056.38 num_examples: 3660 - name: test num_bytes: 1166877801.52 num_examples: 3674 download_size: 9960809758 dataset_size: 14078280246.136002 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* --- # Skin Lesions Dataset A dataset for 14 types of skin lesions classification consisted of merging [HAM10000(2019)](https://www.kaggle.com/datasets/andrewmvd/isic-2019) and [MSLDv2.0](https://www.kaggle.com/datasets/joydippaul/mpox-skin-lesion-dataset-version-20-msld-v20) The dataset consisted of 14 categories: - Actinic keratoses - Basal cell carcinoma - Benign keratosis-like-lesions - Chickenpox - Cowpox - Dermatofibroma - Healthy - HFMD - Measles - Melanocytic nevi - Melanoma - Monkeypox - Squamous cell carcinoma - Vascular lesions ## Load the dataset ```python from datasets import load_dataset dataset = load_dataset("ahmed-ai/skin-lesions-dataset") ``` Citation for the original datasets ### MSLDv2.0 ``` @article{Nafisa2023, title={A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity}, author={Ali, Shams Nafisa and Ahmed, Md. Tazuddin and Jahan, Tasnim and Paul, Joydip and Sani, S. M. Sakeef and Noor, Nawshaba and Asma, Anzirun Nahar and Hasan, Taufiq}, journal={arXiv preprint arXiv:2306.14169}, year={2023} } ``` ### HAM10000 (2019) ``` BCN_20000 Dataset: (c) Department of Dermatology, Hospital Clínic de Barcelona HAM10000 Dataset: (c) by ViDIR Group, Department of Dermatology, Medical University of Vienna; https://doi.org/10.1038/sdata.2018.161 MSK Dataset: (c) Anonymous; https://arxiv.org/abs/1710.05006; https://arxiv.org/abs/1902.03368 ```
ShenaoZhang/0.001_idpo_4iters_ref_response
--- dataset_info: features: - name: prompt dtype: string - name: prompt_id dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: score_chosen dtype: float64 - name: score_rejected dtype: float64 - name: reference_response dtype: string splits: - name: train_prefs_1 num_bytes: 125659628 num_examples: 15283 - name: test_prefs_1 num_bytes: 16380615 num_examples: 2000 - name: train_prefs_2 num_bytes: 127949761 num_examples: 15283 - name: test_prefs_2 num_bytes: 16634946 num_examples: 2000 - name: train_prefs_3 num_bytes: 128829232 num_examples: 15283 - name: test_prefs_3 num_bytes: 16759815 num_examples: 2000 download_size: 239309329 dataset_size: 432213997 configs: - config_name: default data_files: - split: train_prefs_1 path: data/train_prefs_1-* - split: test_prefs_1 path: data/test_prefs_1-* - split: train_prefs_2 path: data/train_prefs_2-* - split: test_prefs_2 path: data/test_prefs_2-* - split: train_prefs_3 path: data/train_prefs_3-* - split: test_prefs_3 path: data/test_prefs_3-* --- # Dataset Card for "0.001_idpo_4iters_ref_response" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ibranze/araproje_hellaswag_tr_conf_mixis
--- dataset_info: features: - name: ind dtype: int32 - name: activity_label dtype: string - name: ctx_a dtype: string - name: ctx_b dtype: string - name: ctx dtype: string - name: endings sequence: string - name: source_id dtype: string - name: split dtype: string - name: split_type dtype: string - name: label dtype: string splits: - name: validation num_bytes: 162703.0 num_examples: 250 download_size: 87101 dataset_size: 162703.0 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "araproje_hellaswag_tr_conf_mixis" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
KatoHF/ultrachat_200k_scored
--- dataset_info: features: - name: prompt dtype: string - name: prompt_id dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: text dtype: string - name: score dtype: float32 splits: - name: train_sft num_bytes: 2631213458 num_examples: 207865 - name: test_sft num_bytes: 291121933 num_examples: 23110 download_size: 1490643246 dataset_size: 2922335391 configs: - config_name: default data_files: - split: train_sft path: data/train_sft-* - split: test_sft path: data/test_sft-* ---
Harshithacj123/new_data_model_methanol
--- dataset_info: features: - name: Train dtype: string splits: - name: train num_bytes: 3446 num_examples: 5 download_size: 7910 dataset_size: 3446 configs: - config_name: default data_files: - split: train path: data/train-* ---
autoevaluate/autoeval-eval-zeroshot__twitter-financial-news-topic-zeroshot__twitte-178919-28982144929
--- type: predictions tags: - autotrain - evaluation datasets: - zeroshot/twitter-financial-news-topic eval_info: task: summarization model: facebook/bart-large-cnn metrics: ['bertscore'] dataset_name: zeroshot/twitter-financial-news-topic dataset_config: zeroshot--twitter-financial-news-topic dataset_split: train col_mapping: text: text target: label --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: facebook/bart-large-cnn * Dataset: zeroshot/twitter-financial-news-topic * Config: zeroshot--twitter-financial-news-topic * Split: train To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@peterdevathala](https://huggingface.co/peterdevathala) for evaluating this model.
roborovski/phi-2-embeddings
--- dataset_info: features: - name: hexsha dtype: string - name: size dtype: int64 - name: ext dtype: string - name: lang dtype: string - name: max_stars_repo_path dtype: string - name: max_stars_repo_name dtype: string - name: max_stars_repo_head_hexsha dtype: string - name: max_stars_repo_licenses sequence: string - name: max_stars_count dtype: int64 - name: max_stars_repo_stars_event_min_datetime dtype: string - name: max_stars_repo_stars_event_max_datetime dtype: string - name: max_issues_repo_path dtype: string - name: max_issues_repo_name dtype: string - name: max_issues_repo_head_hexsha dtype: string - name: max_issues_repo_licenses sequence: string - name: max_issues_count dtype: int64 - name: max_issues_repo_issues_event_min_datetime dtype: string - name: max_issues_repo_issues_event_max_datetime dtype: string - name: max_forks_repo_path dtype: string - name: max_forks_repo_name dtype: string - name: max_forks_repo_head_hexsha dtype: string - name: max_forks_repo_licenses sequence: string - name: max_forks_count dtype: int64 - name: max_forks_repo_forks_event_min_datetime dtype: string - name: max_forks_repo_forks_event_max_datetime dtype: string - name: content dtype: string - name: avg_line_length dtype: float64 - name: max_line_length dtype: int64 - name: alphanum_fraction dtype: float64 - name: label dtype: int64 - name: cost dtype: float64 - name: embedding sequence: float32 splits: - name: train num_bytes: 437613327 num_examples: 50000 download_size: 297833753 dataset_size: 437613327 --- # Dataset Card for "phi-2-embeddings" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
DFKI-SLT/knowledge_net
--- annotations_creators: - expert-generated language: - en language_creators: - found license: [] multilinguality: - monolingual pretty_name: KnowledgeNet is a dataset for automatically populating a knowledge base size_categories: - 10K<n<100K source_datasets: [] tags: - knowledgenet task_categories: - text-classification task_ids: - multi-class-classification - entity-linking-classification dataset_info: - config_name: knet features: - name: fold dtype: int32 - name: documentId dtype: string - name: source dtype: string - name: documentText dtype: string - name: passages sequence: - name: passageId dtype: string - name: passageStart dtype: int32 - name: passageEnd dtype: int32 - name: passageText dtype: string - name: exhaustivelyAnnotatedProperties sequence: - name: propertyId dtype: string - name: propertyName dtype: string - name: propertyDescription dtype: string - name: facts sequence: - name: factId dtype: string - name: propertyId dtype: string - name: humanReadable dtype: string - name: annotatedPassage dtype: string - name: subjectStart dtype: int32 - name: subjectEnd dtype: int32 - name: subjectText dtype: string - name: subjectUri dtype: string - name: objectStart dtype: int32 - name: objectEnd dtype: int32 - name: objectText dtype: string - name: objectUri dtype: string splits: - name: train num_bytes: 10161415 num_examples: 3977 download_size: 14119313 dataset_size: 10161415 - config_name: knet_tokenized features: - name: doc_id dtype: string - name: passage_id dtype: string - name: fact_id dtype: string - name: tokens sequence: string - name: subj_start dtype: int32 - name: subj_end dtype: int32 - name: subj_type dtype: class_label: names: '0': O '1': PER '2': ORG '3': LOC '4': DATE - name: subj_uri dtype: string - name: obj_start dtype: int32 - name: obj_end dtype: int32 - name: obj_type dtype: class_label: names: '0': O '1': PER '2': ORG '3': LOC '4': DATE - name: obj_uri dtype: string - name: relation dtype: class_label: names: '0': NO_RELATION '1': DATE_OF_BIRTH '2': DATE_OF_DEATH '3': PLACE_OF_RESIDENCE '4': PLACE_OF_BIRTH '5': NATIONALITY '6': EMPLOYEE_OR_MEMBER_OF '7': EDUCATED_AT '8': POLITICAL_AFFILIATION '9': CHILD_OF '10': SPOUSE '11': DATE_FOUNDED '12': HEADQUARTERS '13': SUBSIDIARY_OF '14': FOUNDED_BY '15': CEO splits: - name: train num_bytes: 4511963 num_examples: 10895 download_size: 14119313 dataset_size: 4511963 - config_name: knet_re features: - name: documentId dtype: string - name: passageId dtype: string - name: factId dtype: string - name: passageText dtype: string - name: humanReadable dtype: string - name: annotatedPassage dtype: string - name: subjectStart dtype: int32 - name: subjectEnd dtype: int32 - name: subjectText dtype: string - name: subjectType dtype: class_label: names: '0': O '1': PER '2': ORG '3': LOC '4': DATE - name: subjectUri dtype: string - name: objectStart dtype: int32 - name: objectEnd dtype: int32 - name: objectText dtype: string - name: objectType dtype: class_label: names: '0': O '1': PER '2': ORG '3': LOC '4': DATE - name: objectUri dtype: string - name: relation dtype: class_label: names: '0': NO_RELATION '1': DATE_OF_BIRTH '2': DATE_OF_DEATH '3': PLACE_OF_RESIDENCE '4': PLACE_OF_BIRTH '5': NATIONALITY '6': EMPLOYEE_OR_MEMBER_OF '7': EDUCATED_AT '8': POLITICAL_AFFILIATION '9': CHILD_OF '10': SPOUSE '11': DATE_FOUNDED '12': HEADQUARTERS '13': SUBSIDIARY_OF '14': FOUNDED_BY '15': CEO splits: - name: train num_bytes: 6098219 num_examples: 10895 download_size: 14119313 dataset_size: 6098219 --- # Dataset Card for "KnowledgeNet" ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Repository:** [knowledge-net](https://github.com/diffbot/knowledge-net) - **Paper:** [KnowledgeNet: A Benchmark Dataset for Knowledge Base Population](https://aclanthology.org/D19-1069/) - **Size of downloaded dataset files:** 12.59 MB - **Size of the generated dataset:** 6.1 MB ### Dataset Summary KnowledgeNet is a benchmark dataset for the task of automatically populating a knowledge base (Wikidata) with facts expressed in natural language text on the web. KnowledgeNet provides text exhaustively annotated with facts, thus enabling the holistic end-to-end evaluation of knowledge base population systems as a whole, unlike previous benchmarks that are more suitable for the evaluation of individual subcomponents (e.g., entity linking, relation extraction). For instance, the dataset contains text expressing the fact (Gennaro Basile; RESIDENCE; Moravia), in the passage: "Gennaro Basile was an Italian painter, born in Naples but active in the German-speaking countries. He settled at Brünn, in Moravia, and lived about 1756..." For a description of the dataset and baseline systems, please refer to their [EMNLP paper](https://github.com/diffbot/knowledge-net/blob/master/knowledgenet-emnlp-cameraready.pdf). Note: This Datasetreader currently only supports the `train` split and does not contain negative examples. In addition to the original format this repository also provides two version (`knet_re`, `knet_tokenized`) that are easier to use for simple relation extraction. You can load them with `datasets.load_dataset("DFKI-SLT/knowledge_net", name="<config>")`. ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages The language in the dataset is English. ## Dataset Structure ### Data Instances #### knet - **Size of downloaded dataset files:** 12.59 MB - **Size of the generated dataset:** 10.16 MB An example of 'train' looks as follows: ```json { "fold": 2, "documentId": "8313", "source": "DBpedia Abstract", "documentText": "Gennaro Basile\n\nGennaro Basile was an Italian painter, born in Naples but active in the German-speaking countries. He settled at Brünn, in Moravia, and lived about 1756. His best picture is the altar-piece in the chapel of the chateau at Seeberg, in Salzburg. Most of his works remained in Moravia.", "passages": [ { "passageId": "8313:16:114", "passageStart": 16, "passageEnd": 114, "passageText": "Gennaro Basile was an Italian painter, born in Naples but active in the German-speaking countries.", "exhaustivelyAnnotatedProperties": [ { "propertyId": "12", "propertyName": "PLACE_OF_BIRTH", "propertyDescription": "Describes the relationship between a person and the location where she/he was born." } ], "facts": [ { "factId": "8313:16:30:63:69:12", "propertyId": "12", "humanReadable": "<Gennaro Basile> <PLACE_OF_BIRTH> <Naples>", "annotatedPassage": "<Gennaro Basile> was an Italian painter, born in <Naples> but active in the German-speaking countries.", "subjectStart": 16, "subjectEnd": 30, "subjectText": "Gennaro Basile", "subjectUri": "http://www.wikidata.org/entity/Q19517888", "objectStart": 63, "objectEnd": 69, "objectText": "Naples", "objectUri": "http://www.wikidata.org/entity/Q2634" } ] }, { "passageId": "8313:115:169", "passageStart": 115, "passageEnd": 169, "passageText": "He settled at Brünn, in Moravia, and lived about 1756.", "exhaustivelyAnnotatedProperties": [ { "propertyId": "11", "propertyName": "PLACE_OF_RESIDENCE", "propertyDescription": "Describes the relationship between a person and the location where she/he lives/lived." }, { "propertyId": "12", "propertyName": "PLACE_OF_BIRTH", "propertyDescription": "Describes the relationship between a person and the location where she/he was born." } ], "facts": [ { "factId": "8313:115:117:129:134:11", "propertyId": "11", "humanReadable": "<He> <PLACE_OF_RESIDENCE> <Brünn>", "annotatedPassage": "<He> settled at <Brünn>, in Moravia, and lived about 1756.", "subjectStart": 115, "subjectEnd": 117, "subjectText": "He", "subjectUri": "http://www.wikidata.org/entity/Q19517888", "objectStart": 129, "objectEnd": 134, "objectText": "Brünn", "objectUri": "http://www.wikidata.org/entity/Q14960" }, { "factId": "8313:115:117:139:146:11", "propertyId": "11", "humanReadable": "<He> <PLACE_OF_RESIDENCE> <Moravia>", "annotatedPassage": "<He> settled at Brünn, in <Moravia>, and lived about 1756.", "subjectStart": 115, "subjectEnd": 117, "subjectText": "He", "subjectUri": "http://www.wikidata.org/entity/Q19517888", "objectStart": 139, "objectEnd": 146, "objectText": "Moravia", "objectUri": "http://www.wikidata.org/entity/Q43266" } ] } ] } ``` #### knet_re - **Size of downloaded dataset files:** 12.59 MB - **Size of the generated dataset:** 6.1 MB An example of 'train' looks as follows: ```json { "documentId": "7", "passageId": "7:23:206", "factId": "7:23:44:138:160:1", "passageText": "Tata Chemicals Europe (formerly Brunner Mond (UK) Limited) is a UK-based chemicals company that is a subsidiary of Tata Chemicals Limited, itself a part of the India-based Tata Group.", "humanReadable": "<Tata Chemicals Europe> <SUBSIDIARY_OF> <Tata Chemicals Limited>", "annotatedPassage": "<Tata Chemicals Europe> (formerly Brunner Mond (UK) Limited) is a UK-based chemicals company that is a subsidiary of <Tata Chemicals Limited>, itself a part of the India-based Tata Group.", "subjectStart": 0, "subjectEnd": 21, "subjectText": "Tata Chemicals Europe", "subjectType": 2, "subjectUri": "", "objectStart": 115, "objectEnd": 137, "objectText": "Tata Chemicals Limited", "objectType": 2, "objectUri": "http://www.wikidata.org/entity/Q2331365", "relation": 13 } ``` #### knet_tokenized - **Size of downloaded dataset files:** 12.59 MB - **Size of the generated dataset:** 4.5 MB An example of 'train' looks as follows: ```json { "doc_id": "7", "passage_id": "7:23:206", "fact_id": "7:162:168:183:205:1", "tokens": ["Tata", "Chemicals", "Europe", "(", "formerly", "Brunner", "Mond", "(", "UK", ")", "Limited", ")", "is", "a", "UK", "-", "based", "chemicals", "company", "that", "is", "a", "subsidiary", "of", "Tata", "Chemicals", "Limited", ",", "itself", "a", "part", "of", "the", "India", "-", "based", "Tata", "Group", "."], "subj_start": 28, "subj_end": 29, "subj_type": 2, "subj_uri": "http://www.wikidata.org/entity/Q2331365", "obj_start": 33, "obj_end": 38, "obj_type": 2, "obj_uri": "http://www.wikidata.org/entity/Q331715", "relation": 13 } ``` ### Data Fields #### knet - `fold`: the fold, a `int` feature. - `documentId`: the document id, a `string` feature. - `source`: the source, a `string` feature. - `documenText`: the document text, a `string` feature. - `passages`: the list of passages, a `list` of `dict`. - `passageId`: the passage id, a `string` feature. - `passageStart`: the passage start, a `int` feature. - `passageEnd`: the passage end, a `int` feature. - `passageText`: the passage text, a `string` feature. - `exhaustivelyAnnotatedProperties`: the list of exhaustively annotated properties, a `list` of `dict`. - `propertyId`: the property id, a `string` feature. - `propertyName`: the property name, a `string` feature. - `propertyDescription`: the property description, a `string` feature. - `facts`: the list of facts, a `list` of `dict`. - `factId`: the fact id, a `string` feature. - `propertyId`: the property id, a `string` feature. - `humanReadable`: the human readable annotation, a `string` feature. - `annotatedPassage`: the annotated passage, a `string` feature. - `subjectStart`: the subject start, a `int` feature. - `subjectEnd`: the subject end, a `int` feature. - `subjectText`: the subject text, a `string` feature. - `subjectUri`: the subject uri, a `string` feature. - `objectStart`: the object start, a `int` feature. - `objectEnd`: the object end, a `int` feature. - `objectText`: the object text, a `string` feature. - `objectUri`: the object uri, a `string` feature. #### knet_re - `documentId`: the document id, a `string` feature. - `passageId`: the passage id, a `string` feature. - `passageText`: the passage text, a `string` feature. - `factId`: the fact id, a `string` feature. - `humanReadable`: human-readable annotation, a `string` features. - `annotatedPassage`: annotated passage, a `string` feature. - `subjectStart`: the index of the start character of the relation subject mention, an `ìnt` feature. - `subjectEnd`: the index of the end character of the relation subject mention, exclusive, an `ìnt` feature. - `subjectText`: the text the subject mention, a `string` feature. - `subjectType`: the NER type of the subject mention, a `string` classification label. ```json {"O": 0, "PER": 1, "ORG": 2, "LOC": 3, "DATE": 4} ``` - `subjectUri`: the Wikidata URI of the subject mention, a `string` feature. - `objectStart`: the index of the start character of the relation object mention, an `ìnt` feature. - `objectEnd`: the index of the end character of the relation object mention, exclusive, an `ìnt` feature. - `objectText`: the text the object mention, a `string` feature. - `objectType`: the NER type of the object mention, a `string` classification label. ```json {"O": 0, "PER": 1, "ORG": 2, "LOC": 3, "DATE": 4} ``` - `objectUri`: the Wikidata URI of the object mention, a `string` feature. - `relation`: the relation label of this instance, a `string` classification label. ```json {"NO_RELATION": 0, "DATE_OF_BIRTH": 1, "DATE_OF_DEATH": 2, "PLACE_OF_RESIDENCE": 3, "PLACE_OF_BIRTH": 4, "NATIONALITY": 5, "EMPLOYEE_OR_MEMBER_OF": 6, "EDUCATED_AT": 7, "POLITICAL_AFFILIATION": 8, "CHILD_OF": 9, "SPOUSE": 10, "DATE_FOUNDED": 11, "HEADQUARTERS": 12, "SUBSIDIARY_OF": 13, "FOUNDED_BY": 14, "CEO": 15} ``` #### knet_tokenized - `doc_id`: the document id, a `string` feature. - `passage_id`: the passage id, a `string` feature. - `factId`: the fact id, a `string` feature. - `tokens`: the list of tokens of this passage, obtained with spaCy, a `list` of `string` features. - `subj_start`: the index of the start token of the relation subject mention, an `ìnt` feature. - `subj_end`: the index of the end token of the relation subject mention, exclusive, an `ìnt` feature. - `subj_type`: the NER type of the subject mention, a `string` classification label. ```json {"O": 0, "PER": 1, "ORG": 2, "LOC": 3, "DATE": 4} ``` - `subj_uri`: the Wikidata URI of the subject mention, a `string` feature. - `obj_start`: the index of the start token of the relation object mention, an `ìnt` feature. - `obj_end`: the index of the end token of the relation object mention, exclusive, an `ìnt` feature. - `obj_type`: the NER type of the object mention, a `string` classification label. ```json {"O": 0, "PER": 1, "ORG": 2, "LOC": 3, "DATE": 4} ``` - `obj_uri`: the Wikidata URI of the object mention, a `string` feature. - `relation`: the relation label of this instance, a `string` classification label. ```json {"NO_RELATION": 0, "DATE_OF_BIRTH": 1, "DATE_OF_DEATH": 2, "PLACE_OF_RESIDENCE": 3, "PLACE_OF_BIRTH": 4, "NATIONALITY": 5, "EMPLOYEE_OR_MEMBER_OF": 6, "EDUCATED_AT": 7, "POLITICAL_AFFILIATION": 8, "CHILD_OF": 9, "SPOUSE": 10, "DATE_FOUNDED": 11, "HEADQUARTERS": 12, "SUBSIDIARY_OF": 13, "FOUNDED_BY": 14, "CEO": 15} ``` ### Data Splits [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) are labeled as no_relation. [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @inproceedings{mesquita-etal-2019-knowledgenet, title = "{K}nowledge{N}et: A Benchmark Dataset for Knowledge Base Population", author = "Mesquita, Filipe and Cannaviccio, Matteo and Schmidek, Jordan and Mirza, Paramita and Barbosa, Denilson", booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)", month = nov, year = "2019", address = "Hong Kong, China", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/D19-1069", doi = "10.18653/v1/D19-1069", pages = "749--758",} ``` ### Contributions Thanks to [@phucdev](https://github.com/phucdev) for adding this dataset.
autoevaluate/autoeval-staging-eval-project-ac4402f5-7985079
--- type: predictions tags: - autotrain - evaluation datasets: - beans eval_info: task: image_multi_class_classification model: nickmuchi/vit-base-beans metrics: [] dataset_name: beans dataset_config: default dataset_split: test col_mapping: image: image target: labels --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Multi-class Image Classification * Model: nickmuchi/vit-base-beans * Dataset: beans To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
bipulai/skillate_helpdesk
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: cleaned_question dtype: string - name: cleaned_answer dtype: string splits: - name: train num_bytes: 617367 num_examples: 302 download_size: 236993 dataset_size: 617367 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "skillate_helpdesk" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
one-sec-cv12/chunk_167
--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 splits: - name: train num_bytes: 23174365392.125 num_examples: 241279 download_size: 20849659760 dataset_size: 23174365392.125 --- # Dataset Card for "chunk_167" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
BobdoRock/AngelinaJolie
--- license: openrail ---
bigscience-data/roots_eu_bsbasque
--- language: eu license: cc-by-sa-4.0 extra_gated_prompt: 'By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at: https://hf.co/spaces/bigscience/ethical-charter' extra_gated_fields: I have read and agree to abide by the BigScience Ethical Charter: checkbox --- ROOTS Subset: roots_eu_bsbasque # bsbasque - Dataset uid: `bsbasque` ### Description BSBasque dataset. The text is extracted from the following domains: https://www.berria.eus https://eu.wikipedia.org https://goiena.eus https://www.argia.eus https://goierri.hitza.eus ### Homepage ### Licensing CC BY-SA 4.0 ### Speaker Locations ### Sizes - 0.0877 % of total - 53.9848 % of eu ### BigScience processing steps #### Filters applied to: eu - dedup_document - dedup_template_soft - filter_remove_empty_docs
open-llm-leaderboard/details_leveldevai__BeagleMist-7B
--- pretty_name: Evaluation run of leveldevai/BeagleMist-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [leveldevai/BeagleMist-7B](https://huggingface.co/leveldevai/BeagleMist-7B) on\ \ the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_leveldevai__BeagleMist-7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-19T19:26:57.593325](https://huggingface.co/datasets/open-llm-leaderboard/details_leveldevai__BeagleMist-7B/blob/main/results_2024-01-19T19-26-57.593325.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6578372082846259,\n\ \ \"acc_stderr\": 0.03183820575158367,\n \"acc_norm\": 0.6576272237213145,\n\ \ \"acc_norm_stderr\": 0.03249584099098042,\n \"mc1\": 0.48225214198286415,\n\ \ \"mc1_stderr\": 0.01749247084307536,\n \"mc2\": 0.648345615677013,\n\ \ \"mc2_stderr\": 0.0152064953463137\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6791808873720137,\n \"acc_stderr\": 0.013640943091946528,\n\ \ \"acc_norm\": 0.7107508532423208,\n \"acc_norm_stderr\": 0.013250012579393443\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6963752240589524,\n\ \ \"acc_stderr\": 0.004588827958775114,\n \"acc_norm\": 0.874726150169289,\n\ \ \"acc_norm_stderr\": 0.0033035264131234957\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695236,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695236\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6592592592592592,\n\ \ \"acc_stderr\": 0.04094376269996793,\n \"acc_norm\": 0.6592592592592592,\n\ \ \"acc_norm_stderr\": 0.04094376269996793\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6973684210526315,\n \"acc_stderr\": 0.0373852067611967,\n\ \ \"acc_norm\": 0.6973684210526315,\n \"acc_norm_stderr\": 0.0373852067611967\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.64,\n\ \ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7056603773584905,\n \"acc_stderr\": 0.028049186315695255,\n\ \ \"acc_norm\": 0.7056603773584905,\n \"acc_norm_stderr\": 0.028049186315695255\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.03476590104304134\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.56,\n \"acc_stderr\": 0.049888765156985884,\n \"acc_norm\"\ : 0.56,\n \"acc_norm_stderr\": 0.049888765156985884\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6994219653179191,\n\ \ \"acc_stderr\": 0.03496101481191179,\n \"acc_norm\": 0.6994219653179191,\n\ \ \"acc_norm_stderr\": 0.03496101481191179\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4019607843137255,\n \"acc_stderr\": 0.04878608714466996,\n\ \ \"acc_norm\": 0.4019607843137255,\n \"acc_norm_stderr\": 0.04878608714466996\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.77,\n \"acc_stderr\": 0.04229525846816506,\n \"acc_norm\": 0.77,\n\ \ \"acc_norm_stderr\": 0.04229525846816506\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5914893617021276,\n \"acc_stderr\": 0.032134180267015755,\n\ \ \"acc_norm\": 0.5914893617021276,\n \"acc_norm_stderr\": 0.032134180267015755\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\ \ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\ \ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.04122737111370332,\n\ \ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.04122737111370332\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4074074074074074,\n \"acc_stderr\": 0.02530590624159063,\n \"\ acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.02530590624159063\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4444444444444444,\n\ \ \"acc_stderr\": 0.044444444444444495,\n \"acc_norm\": 0.4444444444444444,\n\ \ \"acc_norm_stderr\": 0.044444444444444495\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.8,\n \"acc_stderr\": 0.022755204959542946,\n \"acc_norm\": 0.8,\n\ \ \"acc_norm_stderr\": 0.022755204959542946\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n\ \ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.035158955511656986\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\"\ : 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.032876667586034906,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.032876667586034906\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.797979797979798,\n \"acc_stderr\": 0.028606204289229872,\n \"\ acc_norm\": 0.797979797979798,\n \"acc_norm_stderr\": 0.028606204289229872\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8963730569948186,\n \"acc_stderr\": 0.02199531196364424,\n\ \ \"acc_norm\": 0.8963730569948186,\n \"acc_norm_stderr\": 0.02199531196364424\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.023991500500313036,\n\ \ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.023991500500313036\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.02882088466625326,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.02882088466625326\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.030388353551886793,\n\ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.030388353551886793\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\ acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8605504587155963,\n \"acc_stderr\": 0.014852421490033048,\n \"\ acc_norm\": 0.8605504587155963,\n \"acc_norm_stderr\": 0.014852421490033048\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5324074074074074,\n \"acc_stderr\": 0.03402801581358966,\n \"\ acc_norm\": 0.5324074074074074,\n \"acc_norm_stderr\": 0.03402801581358966\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8578431372549019,\n \"acc_stderr\": 0.02450980392156861,\n \"\ acc_norm\": 0.8578431372549019,\n \"acc_norm_stderr\": 0.02450980392156861\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8143459915611815,\n \"acc_stderr\": 0.02531049537694486,\n \ \ \"acc_norm\": 0.8143459915611815,\n \"acc_norm_stderr\": 0.02531049537694486\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.035477710041594654,\n\ \ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.035477710041594654\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8240740740740741,\n\ \ \"acc_stderr\": 0.036809181416738807,\n \"acc_norm\": 0.8240740740740741,\n\ \ \"acc_norm_stderr\": 0.036809181416738807\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7852760736196319,\n \"acc_stderr\": 0.032262193772867744,\n\ \ \"acc_norm\": 0.7852760736196319,\n \"acc_norm_stderr\": 0.032262193772867744\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.48214285714285715,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.48214285714285715,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7864077669902912,\n \"acc_stderr\": 0.040580420156460344,\n\ \ \"acc_norm\": 0.7864077669902912,\n \"acc_norm_stderr\": 0.040580420156460344\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406957,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406957\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8326947637292464,\n\ \ \"acc_stderr\": 0.013347327202920332,\n \"acc_norm\": 0.8326947637292464,\n\ \ \"acc_norm_stderr\": 0.013347327202920332\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7485549132947977,\n \"acc_stderr\": 0.02335736578587403,\n\ \ \"acc_norm\": 0.7485549132947977,\n \"acc_norm_stderr\": 0.02335736578587403\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.41787709497206704,\n\ \ \"acc_stderr\": 0.016495400635820084,\n \"acc_norm\": 0.41787709497206704,\n\ \ \"acc_norm_stderr\": 0.016495400635820084\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7156862745098039,\n \"acc_stderr\": 0.025829163272757482,\n\ \ \"acc_norm\": 0.7156862745098039,\n \"acc_norm_stderr\": 0.025829163272757482\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7170418006430869,\n\ \ \"acc_stderr\": 0.025583062489984813,\n \"acc_norm\": 0.7170418006430869,\n\ \ \"acc_norm_stderr\": 0.025583062489984813\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7438271604938271,\n \"acc_stderr\": 0.0242885336377261,\n\ \ \"acc_norm\": 0.7438271604938271,\n \"acc_norm_stderr\": 0.0242885336377261\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.48936170212765956,\n \"acc_stderr\": 0.029820747191422473,\n \ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.029820747191422473\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.46284224250325945,\n\ \ \"acc_stderr\": 0.01273492357953207,\n \"acc_norm\": 0.46284224250325945,\n\ \ \"acc_norm_stderr\": 0.01273492357953207\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6838235294117647,\n \"acc_stderr\": 0.028245687391462927,\n\ \ \"acc_norm\": 0.6838235294117647,\n \"acc_norm_stderr\": 0.028245687391462927\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.684640522875817,\n \"acc_stderr\": 0.01879808628488689,\n \ \ \"acc_norm\": 0.684640522875817,\n \"acc_norm_stderr\": 0.01879808628488689\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\ \ \"acc_stderr\": 0.04461272175910509,\n \"acc_norm\": 0.6818181818181818,\n\ \ \"acc_norm_stderr\": 0.04461272175910509\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.02826388994378459,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.02826388994378459\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.845771144278607,\n\ \ \"acc_stderr\": 0.025538433368578337,\n \"acc_norm\": 0.845771144278607,\n\ \ \"acc_norm_stderr\": 0.025538433368578337\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.033799766898963086,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.033799766898963086\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8421052631578947,\n \"acc_stderr\": 0.027966785859160893,\n\ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.027966785859160893\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.48225214198286415,\n\ \ \"mc1_stderr\": 0.01749247084307536,\n \"mc2\": 0.648345615677013,\n\ \ \"mc2_stderr\": 0.0152064953463137\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.819258089976322,\n \"acc_stderr\": 0.010814911009613988\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7187263078089462,\n \ \ \"acc_stderr\": 0.012384789310940243\n }\n}\n```" repo_url: https://huggingface.co/leveldevai/BeagleMist-7B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|arc:challenge|25_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-19T19-26-57.593325.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|gsm8k|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hellaswag|10_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-19T19-26-57.593325.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-management|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-19T19-26-57.593325.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|truthfulqa:mc|0_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-19T19-26-57.593325.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_19T19_26_57.593325 path: - '**/details_harness|winogrande|5_2024-01-19T19-26-57.593325.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-19T19-26-57.593325.parquet' - config_name: results data_files: - split: 2024_01_19T19_26_57.593325 path: - results_2024-01-19T19-26-57.593325.parquet - split: latest path: - results_2024-01-19T19-26-57.593325.parquet --- # Dataset Card for Evaluation run of leveldevai/BeagleMist-7B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [leveldevai/BeagleMist-7B](https://huggingface.co/leveldevai/BeagleMist-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_leveldevai__BeagleMist-7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-19T19:26:57.593325](https://huggingface.co/datasets/open-llm-leaderboard/details_leveldevai__BeagleMist-7B/blob/main/results_2024-01-19T19-26-57.593325.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.6578372082846259, "acc_stderr": 0.03183820575158367, "acc_norm": 0.6576272237213145, "acc_norm_stderr": 0.03249584099098042, "mc1": 0.48225214198286415, "mc1_stderr": 0.01749247084307536, "mc2": 0.648345615677013, "mc2_stderr": 0.0152064953463137 }, "harness|arc:challenge|25": { "acc": 0.6791808873720137, "acc_stderr": 0.013640943091946528, "acc_norm": 0.7107508532423208, "acc_norm_stderr": 0.013250012579393443 }, "harness|hellaswag|10": { "acc": 0.6963752240589524, "acc_stderr": 0.004588827958775114, "acc_norm": 0.874726150169289, "acc_norm_stderr": 0.0033035264131234957 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6592592592592592, "acc_stderr": 0.04094376269996793, "acc_norm": 0.6592592592592592, "acc_norm_stderr": 0.04094376269996793 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6973684210526315, "acc_stderr": 0.0373852067611967, "acc_norm": 0.6973684210526315, "acc_norm_stderr": 0.0373852067611967 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7056603773584905, "acc_stderr": 0.028049186315695255, "acc_norm": 0.7056603773584905, "acc_norm_stderr": 0.028049186315695255 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7777777777777778, "acc_stderr": 0.03476590104304134, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.56, "acc_stderr": 0.049888765156985884, "acc_norm": 0.56, "acc_norm_stderr": 0.049888765156985884 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6994219653179191, "acc_stderr": 0.03496101481191179, "acc_norm": 0.6994219653179191, "acc_norm_stderr": 0.03496101481191179 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4019607843137255, "acc_stderr": 0.04878608714466996, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.04878608714466996 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.77, "acc_stderr": 0.04229525846816506, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5914893617021276, "acc_stderr": 0.032134180267015755, "acc_norm": 0.5914893617021276, "acc_norm_stderr": 0.032134180267015755 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4824561403508772, "acc_stderr": 0.04700708033551038, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.04700708033551038 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5724137931034483, "acc_stderr": 0.04122737111370332, "acc_norm": 0.5724137931034483, "acc_norm_stderr": 0.04122737111370332 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4074074074074074, "acc_stderr": 0.02530590624159063, "acc_norm": 0.4074074074074074, "acc_norm_stderr": 0.02530590624159063 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4444444444444444, "acc_stderr": 0.044444444444444495, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.044444444444444495 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8, "acc_stderr": 0.022755204959542946, "acc_norm": 0.8, "acc_norm_stderr": 0.022755204959542946 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5172413793103449, "acc_stderr": 0.035158955511656986, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.035158955511656986 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7696969696969697, "acc_stderr": 0.032876667586034906, "acc_norm": 0.7696969696969697, "acc_norm_stderr": 0.032876667586034906 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.797979797979798, "acc_stderr": 0.028606204289229872, "acc_norm": 0.797979797979798, "acc_norm_stderr": 0.028606204289229872 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8963730569948186, "acc_stderr": 0.02199531196364424, "acc_norm": 0.8963730569948186, "acc_norm_stderr": 0.02199531196364424 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6615384615384615, "acc_stderr": 0.023991500500313036, "acc_norm": 0.6615384615384615, "acc_norm_stderr": 0.023991500500313036 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.337037037037037, "acc_stderr": 0.02882088466625326, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.02882088466625326 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6764705882352942, "acc_stderr": 0.030388353551886793, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.030388353551886793 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3443708609271523, "acc_stderr": 0.038796870240733264, "acc_norm": 0.3443708609271523, "acc_norm_stderr": 0.038796870240733264 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8605504587155963, "acc_stderr": 0.014852421490033048, "acc_norm": 0.8605504587155963, "acc_norm_stderr": 0.014852421490033048 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5324074074074074, "acc_stderr": 0.03402801581358966, "acc_norm": 0.5324074074074074, "acc_norm_stderr": 0.03402801581358966 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8578431372549019, "acc_stderr": 0.02450980392156861, "acc_norm": 0.8578431372549019, "acc_norm_stderr": 0.02450980392156861 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8143459915611815, "acc_stderr": 0.02531049537694486, "acc_norm": 0.8143459915611815, "acc_norm_stderr": 0.02531049537694486 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7938931297709924, "acc_stderr": 0.035477710041594654, "acc_norm": 0.7938931297709924, "acc_norm_stderr": 0.035477710041594654 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098824, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098824 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8240740740740741, "acc_stderr": 0.036809181416738807, "acc_norm": 0.8240740740740741, "acc_norm_stderr": 0.036809181416738807 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7852760736196319, "acc_stderr": 0.032262193772867744, "acc_norm": 0.7852760736196319, "acc_norm_stderr": 0.032262193772867744 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.48214285714285715, "acc_stderr": 0.047427623612430116, "acc_norm": 0.48214285714285715, "acc_norm_stderr": 0.047427623612430116 }, "harness|hendrycksTest-management|5": { "acc": 0.7864077669902912, "acc_stderr": 0.040580420156460344, "acc_norm": 0.7864077669902912, "acc_norm_stderr": 0.040580420156460344 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8803418803418803, "acc_stderr": 0.021262719400406957, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.021262719400406957 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8326947637292464, "acc_stderr": 0.013347327202920332, "acc_norm": 0.8326947637292464, "acc_norm_stderr": 0.013347327202920332 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7485549132947977, "acc_stderr": 0.02335736578587403, "acc_norm": 0.7485549132947977, "acc_norm_stderr": 0.02335736578587403 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.41787709497206704, "acc_stderr": 0.016495400635820084, "acc_norm": 0.41787709497206704, "acc_norm_stderr": 0.016495400635820084 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7156862745098039, "acc_stderr": 0.025829163272757482, "acc_norm": 0.7156862745098039, "acc_norm_stderr": 0.025829163272757482 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7170418006430869, "acc_stderr": 0.025583062489984813, "acc_norm": 0.7170418006430869, "acc_norm_stderr": 0.025583062489984813 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7438271604938271, "acc_stderr": 0.0242885336377261, "acc_norm": 0.7438271604938271, "acc_norm_stderr": 0.0242885336377261 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.48936170212765956, "acc_stderr": 0.029820747191422473, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.029820747191422473 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.46284224250325945, "acc_stderr": 0.01273492357953207, "acc_norm": 0.46284224250325945, "acc_norm_stderr": 0.01273492357953207 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6838235294117647, "acc_stderr": 0.028245687391462927, "acc_norm": 0.6838235294117647, "acc_norm_stderr": 0.028245687391462927 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.684640522875817, "acc_stderr": 0.01879808628488689, "acc_norm": 0.684640522875817, "acc_norm_stderr": 0.01879808628488689 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6818181818181818, "acc_stderr": 0.04461272175910509, "acc_norm": 0.6818181818181818, "acc_norm_stderr": 0.04461272175910509 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7346938775510204, "acc_stderr": 0.02826388994378459, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.02826388994378459 }, "harness|hendrycksTest-sociology|5": { "acc": 0.845771144278607, "acc_stderr": 0.025538433368578337, "acc_norm": 0.845771144278607, "acc_norm_stderr": 0.025538433368578337 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.87, "acc_stderr": 0.033799766898963086, "acc_norm": 0.87, "acc_norm_stderr": 0.033799766898963086 }, "harness|hendrycksTest-virology|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8421052631578947, "acc_stderr": 0.027966785859160893, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.027966785859160893 }, "harness|truthfulqa:mc|0": { "mc1": 0.48225214198286415, "mc1_stderr": 0.01749247084307536, "mc2": 0.648345615677013, "mc2_stderr": 0.0152064953463137 }, "harness|winogrande|5": { "acc": 0.819258089976322, "acc_stderr": 0.010814911009613988 }, "harness|gsm8k|5": { "acc": 0.7187263078089462, "acc_stderr": 0.012384789310940243 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). 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More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
Neel-Gupta/minipile-processed_3072
--- dataset_info: features: - name: text sequence: sequence: sequence: int64 splits: - name: train num_bytes: 41564177600 num_examples: 1100 - name: test num_bytes: 377856160 num_examples: 10 download_size: 4080693648 dataset_size: 41942033760 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-67ab09-31609144970
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: ARTeLab/it5-summarization-ilpost metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: ARTeLab/it5-summarization-ilpost * Dataset: cnn_dailymail * Config: 3.0.0 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@malar](https://huggingface.co/malar) for evaluating this model.
open-llm-leaderboard/details_jeiku__Eros_Prodigadigm_7B
--- pretty_name: Evaluation run of jeiku/Eros_Prodigadigm_7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jeiku/Eros_Prodigadigm_7B](https://huggingface.co/jeiku/Eros_Prodigadigm_7B)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_jeiku__Eros_Prodigadigm_7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-23T07:32:28.592542](https://huggingface.co/datasets/open-llm-leaderboard/details_jeiku__Eros_Prodigadigm_7B/blob/main/results_2024-03-23T07-32-28.592542.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6327621655785706,\n\ \ \"acc_stderr\": 0.0326777929571602,\n \"acc_norm\": 0.6349676787099677,\n\ \ \"acc_norm_stderr\": 0.03334076539604183,\n \"mc1\": 0.5079559363525091,\n\ \ \"mc1_stderr\": 0.01750128507455182,\n \"mc2\": 0.6868028587570413,\n\ \ \"mc2_stderr\": 0.014924539614934326\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6416382252559727,\n \"acc_stderr\": 0.014012883334859859,\n\ \ \"acc_norm\": 0.6723549488054608,\n \"acc_norm_stderr\": 0.013715847940719337\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6804421429994025,\n\ \ \"acc_stderr\": 0.0046535230383693725,\n \"acc_norm\": 0.8563035251941844,\n\ \ \"acc_norm_stderr\": 0.00350064796787958\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6370370370370371,\n\ \ \"acc_stderr\": 0.04153948404742398,\n \"acc_norm\": 0.6370370370370371,\n\ \ \"acc_norm_stderr\": 0.04153948404742398\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.0378272898086547,\n\ \ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.0378272898086547\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.56,\n\ \ \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n \ \ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6943396226415094,\n \"acc_stderr\": 0.028353298073322663,\n\ \ \"acc_norm\": 0.6943396226415094,\n \"acc_norm_stderr\": 0.028353298073322663\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7152777777777778,\n\ \ \"acc_stderr\": 0.03773809990686934,\n \"acc_norm\": 0.7152777777777778,\n\ \ \"acc_norm_stderr\": 0.03773809990686934\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.42,\n \"acc_stderr\": 0.04960449637488584,\n \ \ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.04960449637488584\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.51,\n \"acc_stderr\": 0.05024183937956911,\n \"acc_norm\": 0.51,\n\ \ \"acc_norm_stderr\": 0.05024183937956911\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6589595375722543,\n\ \ \"acc_stderr\": 0.036146654241808254,\n \"acc_norm\": 0.6589595375722543,\n\ \ \"acc_norm_stderr\": 0.036146654241808254\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.35294117647058826,\n \"acc_stderr\": 0.04755129616062948,\n\ \ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.04755129616062948\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\": 0.74,\n\ \ \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5829787234042553,\n \"acc_stderr\": 0.03223276266711712,\n\ \ \"acc_norm\": 0.5829787234042553,\n \"acc_norm_stderr\": 0.03223276266711712\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4649122807017544,\n\ \ \"acc_stderr\": 0.046920083813689104,\n \"acc_norm\": 0.4649122807017544,\n\ \ \"acc_norm_stderr\": 0.046920083813689104\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.04122737111370333,\n\ \ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.04122737111370333\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4021164021164021,\n \"acc_stderr\": 0.025253032554997695,\n \"\ acc_norm\": 0.4021164021164021,\n \"acc_norm_stderr\": 0.025253032554997695\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.48412698412698413,\n\ \ \"acc_stderr\": 0.04469881854072606,\n \"acc_norm\": 0.48412698412698413,\n\ \ \"acc_norm_stderr\": 0.04469881854072606\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7580645161290323,\n \"acc_stderr\": 0.024362599693031093,\n \"\ acc_norm\": 0.7580645161290323,\n \"acc_norm_stderr\": 0.024362599693031093\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.5320197044334976,\n \"acc_stderr\": 0.035107665979592154,\n \"\ acc_norm\": 0.5320197044334976,\n \"acc_norm_stderr\": 0.035107665979592154\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252607,\n \"acc_norm\"\ : 0.67,\n \"acc_norm_stderr\": 0.04725815626252607\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7636363636363637,\n \"acc_stderr\": 0.03317505930009181,\n\ \ \"acc_norm\": 0.7636363636363637,\n \"acc_norm_stderr\": 0.03317505930009181\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7626262626262627,\n \"acc_stderr\": 0.03031371053819889,\n \"\ acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.03031371053819889\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8860103626943006,\n \"acc_stderr\": 0.022935144053919436,\n\ \ \"acc_norm\": 0.8860103626943006,\n \"acc_norm_stderr\": 0.022935144053919436\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6333333333333333,\n \"acc_stderr\": 0.02443301646605246,\n \ \ \"acc_norm\": 0.6333333333333333,\n \"acc_norm_stderr\": 0.02443301646605246\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.362962962962963,\n \"acc_stderr\": 0.029318203645206858,\n \ \ \"acc_norm\": 0.362962962962963,\n \"acc_norm_stderr\": 0.029318203645206858\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6890756302521008,\n \"acc_stderr\": 0.030066761582977934,\n\ \ \"acc_norm\": 0.6890756302521008,\n \"acc_norm_stderr\": 0.030066761582977934\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8110091743119267,\n \"acc_stderr\": 0.016785481159203624,\n \"\ acc_norm\": 0.8110091743119267,\n \"acc_norm_stderr\": 0.016785481159203624\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5046296296296297,\n \"acc_stderr\": 0.03409825519163572,\n \"\ acc_norm\": 0.5046296296296297,\n \"acc_norm_stderr\": 0.03409825519163572\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7892156862745098,\n \"acc_stderr\": 0.028626547912437406,\n \"\ acc_norm\": 0.7892156862745098,\n \"acc_norm_stderr\": 0.028626547912437406\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7890295358649789,\n \"acc_stderr\": 0.02655837250266192,\n \ \ \"acc_norm\": 0.7890295358649789,\n \"acc_norm_stderr\": 0.02655837250266192\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.695067264573991,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7251908396946565,\n \"acc_stderr\": 0.039153454088478354,\n\ \ \"acc_norm\": 0.7251908396946565,\n \"acc_norm_stderr\": 0.039153454088478354\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7603305785123967,\n \"acc_stderr\": 0.03896878985070417,\n \"\ acc_norm\": 0.7603305785123967,\n \"acc_norm_stderr\": 0.03896878985070417\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7314814814814815,\n\ \ \"acc_stderr\": 0.042844679680521934,\n \"acc_norm\": 0.7314814814814815,\n\ \ \"acc_norm_stderr\": 0.042844679680521934\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7300613496932515,\n \"acc_stderr\": 0.03487825168497892,\n\ \ \"acc_norm\": 0.7300613496932515,\n \"acc_norm_stderr\": 0.03487825168497892\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.45535714285714285,\n\ \ \"acc_stderr\": 0.04726835553719099,\n \"acc_norm\": 0.45535714285714285,\n\ \ \"acc_norm_stderr\": 0.04726835553719099\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7572815533980582,\n \"acc_stderr\": 0.04245022486384495,\n\ \ \"acc_norm\": 0.7572815533980582,\n \"acc_norm_stderr\": 0.04245022486384495\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8675213675213675,\n\ \ \"acc_stderr\": 0.022209309073165616,\n \"acc_norm\": 0.8675213675213675,\n\ \ \"acc_norm_stderr\": 0.022209309073165616\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8084291187739464,\n\ \ \"acc_stderr\": 0.014072859310451949,\n \"acc_norm\": 0.8084291187739464,\n\ \ \"acc_norm_stderr\": 0.014072859310451949\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6878612716763006,\n \"acc_stderr\": 0.024946792225272314,\n\ \ \"acc_norm\": 0.6878612716763006,\n \"acc_norm_stderr\": 0.024946792225272314\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4681564245810056,\n\ \ \"acc_stderr\": 0.016688553415612213,\n \"acc_norm\": 0.4681564245810056,\n\ \ \"acc_norm_stderr\": 0.016688553415612213\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7026143790849673,\n \"acc_stderr\": 0.02617390850671858,\n\ \ \"acc_norm\": 0.7026143790849673,\n \"acc_norm_stderr\": 0.02617390850671858\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.684887459807074,\n\ \ \"acc_stderr\": 0.02638527370346448,\n \"acc_norm\": 0.684887459807074,\n\ \ \"acc_norm_stderr\": 0.02638527370346448\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7037037037037037,\n \"acc_stderr\": 0.025407197798890155,\n\ \ \"acc_norm\": 0.7037037037037037,\n \"acc_norm_stderr\": 0.025407197798890155\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4432624113475177,\n \"acc_stderr\": 0.029634838473766006,\n \ \ \"acc_norm\": 0.4432624113475177,\n \"acc_norm_stderr\": 0.029634838473766006\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4680573663624511,\n\ \ \"acc_stderr\": 0.012744149704869647,\n \"acc_norm\": 0.4680573663624511,\n\ \ \"acc_norm_stderr\": 0.012744149704869647\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6397058823529411,\n \"acc_stderr\": 0.029163128570670733,\n\ \ \"acc_norm\": 0.6397058823529411,\n \"acc_norm_stderr\": 0.029163128570670733\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6339869281045751,\n \"acc_stderr\": 0.019488025745529682,\n \ \ \"acc_norm\": 0.6339869281045751,\n \"acc_norm_stderr\": 0.019488025745529682\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.6857142857142857,\n \"acc_stderr\": 0.029719329422417482,\n\ \ \"acc_norm\": 0.6857142857142857,\n \"acc_norm_stderr\": 0.029719329422417482\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8507462686567164,\n\ \ \"acc_stderr\": 0.025196929874827072,\n \"acc_norm\": 0.8507462686567164,\n\ \ \"acc_norm_stderr\": 0.025196929874827072\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.03379976689896309,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.03379976689896309\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4939759036144578,\n\ \ \"acc_stderr\": 0.03892212195333047,\n \"acc_norm\": 0.4939759036144578,\n\ \ \"acc_norm_stderr\": 0.03892212195333047\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.847953216374269,\n \"acc_stderr\": 0.027539122889061456,\n\ \ \"acc_norm\": 0.847953216374269,\n \"acc_norm_stderr\": 0.027539122889061456\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5079559363525091,\n\ \ \"mc1_stderr\": 0.01750128507455182,\n \"mc2\": 0.6868028587570413,\n\ \ \"mc2_stderr\": 0.014924539614934326\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8089976322020521,\n \"acc_stderr\": 0.011047808761510429\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5329795299469295,\n \ \ \"acc_stderr\": 0.013742492794163423\n }\n}\n```" repo_url: https://huggingface.co/jeiku/Eros_Prodigadigm_7B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|arc:challenge|25_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-23T07-32-28.592542.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|gsm8k|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hellaswag|10_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-23T07-32-28.592542.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-management|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-23T07-32-28.592542.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|truthfulqa:mc|0_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-23T07-32-28.592542.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_23T07_32_28.592542 path: - '**/details_harness|winogrande|5_2024-03-23T07-32-28.592542.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-23T07-32-28.592542.parquet' - config_name: results data_files: - split: 2024_03_23T07_32_28.592542 path: - results_2024-03-23T07-32-28.592542.parquet - split: latest path: - results_2024-03-23T07-32-28.592542.parquet --- # Dataset Card for Evaluation run of jeiku/Eros_Prodigadigm_7B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [jeiku/Eros_Prodigadigm_7B](https://huggingface.co/jeiku/Eros_Prodigadigm_7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_jeiku__Eros_Prodigadigm_7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-23T07:32:28.592542](https://huggingface.co/datasets/open-llm-leaderboard/details_jeiku__Eros_Prodigadigm_7B/blob/main/results_2024-03-23T07-32-28.592542.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.6327621655785706, "acc_stderr": 0.0326777929571602, "acc_norm": 0.6349676787099677, "acc_norm_stderr": 0.03334076539604183, "mc1": 0.5079559363525091, "mc1_stderr": 0.01750128507455182, "mc2": 0.6868028587570413, "mc2_stderr": 0.014924539614934326 }, "harness|arc:challenge|25": { "acc": 0.6416382252559727, "acc_stderr": 0.014012883334859859, "acc_norm": 0.6723549488054608, "acc_norm_stderr": 0.013715847940719337 }, "harness|hellaswag|10": { "acc": 0.6804421429994025, "acc_stderr": 0.0046535230383693725, "acc_norm": 0.8563035251941844, "acc_norm_stderr": 0.00350064796787958 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6370370370370371, "acc_stderr": 0.04153948404742398, "acc_norm": 0.6370370370370371, "acc_norm_stderr": 0.04153948404742398 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6842105263157895, "acc_stderr": 0.0378272898086547, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.0378272898086547 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6943396226415094, "acc_stderr": 0.028353298073322663, "acc_norm": 0.6943396226415094, "acc_norm_stderr": 0.028353298073322663 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7152777777777778, "acc_stderr": 0.03773809990686934, "acc_norm": 0.7152777777777778, "acc_norm_stderr": 0.03773809990686934 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.42, "acc_stderr": 0.04960449637488584, "acc_norm": 0.42, "acc_norm_stderr": 0.04960449637488584 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6589595375722543, "acc_stderr": 0.036146654241808254, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.036146654241808254 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.35294117647058826, "acc_stderr": 0.04755129616062948, "acc_norm": 0.35294117647058826, "acc_norm_stderr": 0.04755129616062948 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5829787234042553, "acc_stderr": 0.03223276266711712, "acc_norm": 0.5829787234042553, "acc_norm_stderr": 0.03223276266711712 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4649122807017544, "acc_stderr": 0.046920083813689104, "acc_norm": 0.4649122807017544, "acc_norm_stderr": 0.046920083813689104 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5724137931034483, "acc_stderr": 0.04122737111370333, "acc_norm": 0.5724137931034483, "acc_norm_stderr": 0.04122737111370333 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4021164021164021, "acc_stderr": 0.025253032554997695, "acc_norm": 0.4021164021164021, "acc_norm_stderr": 0.025253032554997695 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.48412698412698413, "acc_stderr": 0.04469881854072606, "acc_norm": 0.48412698412698413, "acc_norm_stderr": 0.04469881854072606 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7580645161290323, "acc_stderr": 0.024362599693031093, "acc_norm": 0.7580645161290323, "acc_norm_stderr": 0.024362599693031093 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5320197044334976, "acc_stderr": 0.035107665979592154, "acc_norm": 0.5320197044334976, "acc_norm_stderr": 0.035107665979592154 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.67, "acc_stderr": 0.04725815626252607, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252607 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7636363636363637, "acc_stderr": 0.03317505930009181, "acc_norm": 0.7636363636363637, "acc_norm_stderr": 0.03317505930009181 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7626262626262627, "acc_stderr": 0.03031371053819889, "acc_norm": 0.7626262626262627, "acc_norm_stderr": 0.03031371053819889 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8860103626943006, "acc_stderr": 0.022935144053919436, "acc_norm": 0.8860103626943006, "acc_norm_stderr": 0.022935144053919436 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6333333333333333, "acc_stderr": 0.02443301646605246, "acc_norm": 0.6333333333333333, "acc_norm_stderr": 0.02443301646605246 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.362962962962963, "acc_stderr": 0.029318203645206858, "acc_norm": 0.362962962962963, "acc_norm_stderr": 0.029318203645206858 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6890756302521008, "acc_stderr": 0.030066761582977934, "acc_norm": 0.6890756302521008, "acc_norm_stderr": 0.030066761582977934 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8110091743119267, "acc_stderr": 0.016785481159203624, "acc_norm": 0.8110091743119267, "acc_norm_stderr": 0.016785481159203624 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5046296296296297, "acc_stderr": 0.03409825519163572, "acc_norm": 0.5046296296296297, "acc_norm_stderr": 0.03409825519163572 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7892156862745098, "acc_stderr": 0.028626547912437406, "acc_norm": 0.7892156862745098, "acc_norm_stderr": 0.028626547912437406 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7890295358649789, "acc_stderr": 0.02655837250266192, "acc_norm": 0.7890295358649789, "acc_norm_stderr": 0.02655837250266192 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.695067264573991, "acc_stderr": 0.030898610882477515, "acc_norm": 0.695067264573991, "acc_norm_stderr": 0.030898610882477515 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7251908396946565, "acc_stderr": 0.039153454088478354, "acc_norm": 0.7251908396946565, "acc_norm_stderr": 0.039153454088478354 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7603305785123967, "acc_stderr": 0.03896878985070417, "acc_norm": 0.7603305785123967, "acc_norm_stderr": 0.03896878985070417 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7314814814814815, "acc_stderr": 0.042844679680521934, "acc_norm": 0.7314814814814815, "acc_norm_stderr": 0.042844679680521934 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7300613496932515, "acc_stderr": 0.03487825168497892, "acc_norm": 0.7300613496932515, "acc_norm_stderr": 0.03487825168497892 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.45535714285714285, "acc_stderr": 0.04726835553719099, "acc_norm": 0.45535714285714285, "acc_norm_stderr": 0.04726835553719099 }, "harness|hendrycksTest-management|5": { "acc": 0.7572815533980582, "acc_stderr": 0.04245022486384495, "acc_norm": 0.7572815533980582, "acc_norm_stderr": 0.04245022486384495 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8675213675213675, "acc_stderr": 0.022209309073165616, "acc_norm": 0.8675213675213675, "acc_norm_stderr": 0.022209309073165616 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8084291187739464, "acc_stderr": 0.014072859310451949, "acc_norm": 0.8084291187739464, "acc_norm_stderr": 0.014072859310451949 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6878612716763006, "acc_stderr": 0.024946792225272314, "acc_norm": 0.6878612716763006, "acc_norm_stderr": 0.024946792225272314 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.4681564245810056, "acc_stderr": 0.016688553415612213, "acc_norm": 0.4681564245810056, "acc_norm_stderr": 0.016688553415612213 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7026143790849673, "acc_stderr": 0.02617390850671858, "acc_norm": 0.7026143790849673, "acc_norm_stderr": 0.02617390850671858 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.684887459807074, "acc_stderr": 0.02638527370346448, "acc_norm": 0.684887459807074, "acc_norm_stderr": 0.02638527370346448 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7037037037037037, "acc_stderr": 0.025407197798890155, "acc_norm": 0.7037037037037037, "acc_norm_stderr": 0.025407197798890155 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4432624113475177, "acc_stderr": 0.029634838473766006, "acc_norm": 0.4432624113475177, "acc_norm_stderr": 0.029634838473766006 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4680573663624511, "acc_stderr": 0.012744149704869647, "acc_norm": 0.4680573663624511, "acc_norm_stderr": 0.012744149704869647 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6397058823529411, "acc_stderr": 0.029163128570670733, "acc_norm": 0.6397058823529411, "acc_norm_stderr": 0.029163128570670733 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6339869281045751, "acc_stderr": 0.019488025745529682, "acc_norm": 0.6339869281045751, "acc_norm_stderr": 0.019488025745529682 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.6857142857142857, "acc_stderr": 0.029719329422417482, "acc_norm": 0.6857142857142857, "acc_norm_stderr": 0.029719329422417482 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8507462686567164, "acc_stderr": 0.025196929874827072, "acc_norm": 0.8507462686567164, "acc_norm_stderr": 0.025196929874827072 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.87, "acc_stderr": 0.03379976689896309, "acc_norm": 0.87, "acc_norm_stderr": 0.03379976689896309 }, "harness|hendrycksTest-virology|5": { "acc": 0.4939759036144578, "acc_stderr": 0.03892212195333047, "acc_norm": 0.4939759036144578, "acc_norm_stderr": 0.03892212195333047 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.847953216374269, "acc_stderr": 0.027539122889061456, "acc_norm": 0.847953216374269, "acc_norm_stderr": 0.027539122889061456 }, "harness|truthfulqa:mc|0": { "mc1": 0.5079559363525091, "mc1_stderr": 0.01750128507455182, "mc2": 0.6868028587570413, "mc2_stderr": 0.014924539614934326 }, "harness|winogrande|5": { "acc": 0.8089976322020521, "acc_stderr": 0.011047808761510429 }, "harness|gsm8k|5": { "acc": 0.5329795299469295, "acc_stderr": 0.013742492794163423 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct 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open-llm-leaderboard/details_Sao10K__Ana-v1-m7
--- pretty_name: Evaluation run of Sao10K/Ana-v1-m7 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Sao10K/Ana-v1-m7](https://huggingface.co/Sao10K/Ana-v1-m7) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Sao10K__Ana-v1-m7\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-13T11:00:42.385261](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Ana-v1-m7/blob/main/results_2023-12-13T11-00-42.385261.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6450876976103553,\n\ \ \"acc_stderr\": 0.032232788125298194,\n \"acc_norm\": 0.6484944592637535,\n\ \ \"acc_norm_stderr\": 0.032869268033759086,\n \"mc1\": 0.39657282741738065,\n\ \ \"mc1_stderr\": 0.017124930942023515,\n \"mc2\": 0.5503162010975955,\n\ \ \"mc2_stderr\": 0.01574450133768535\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6407849829351536,\n \"acc_stderr\": 0.014020224155839152,\n\ \ \"acc_norm\": 0.674061433447099,\n \"acc_norm_stderr\": 0.013697432466693247\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6762597092212707,\n\ \ \"acc_stderr\": 0.0046694598919176915,\n \"acc_norm\": 0.859788886675961,\n\ \ \"acc_norm_stderr\": 0.0034649633793799287\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\ \ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6222222222222222,\n\ \ \"acc_stderr\": 0.04188307537595852,\n \"acc_norm\": 0.6222222222222222,\n\ \ \"acc_norm_stderr\": 0.04188307537595852\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6776315789473685,\n \"acc_stderr\": 0.03803510248351585,\n\ \ \"acc_norm\": 0.6776315789473685,\n \"acc_norm_stderr\": 0.03803510248351585\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\ \ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \ \ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6830188679245283,\n \"acc_stderr\": 0.02863723563980089,\n\ \ \"acc_norm\": 0.6830188679245283,\n \"acc_norm_stderr\": 0.02863723563980089\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7569444444444444,\n\ \ \"acc_stderr\": 0.035868792800803406,\n \"acc_norm\": 0.7569444444444444,\n\ \ \"acc_norm_stderr\": 0.035868792800803406\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\ : 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6358381502890174,\n\ \ \"acc_stderr\": 0.03669072477416907,\n \"acc_norm\": 0.6358381502890174,\n\ \ \"acc_norm_stderr\": 0.03669072477416907\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.46078431372549017,\n \"acc_stderr\": 0.049598599663841815,\n\ \ \"acc_norm\": 0.46078431372549017,\n \"acc_norm_stderr\": 0.049598599663841815\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\ \ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5702127659574469,\n \"acc_stderr\": 0.03236214467715564,\n\ \ \"acc_norm\": 0.5702127659574469,\n \"acc_norm_stderr\": 0.03236214467715564\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5175438596491229,\n\ \ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.5175438596491229,\n\ \ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5655172413793104,\n \"acc_stderr\": 0.04130740879555497,\n\ \ \"acc_norm\": 0.5655172413793104,\n \"acc_norm_stderr\": 0.04130740879555497\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.41534391534391535,\n \"acc_stderr\": 0.0253795249107784,\n \"\ acc_norm\": 0.41534391534391535,\n \"acc_norm_stderr\": 0.0253795249107784\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42063492063492064,\n\ \ \"acc_stderr\": 0.04415438226743744,\n \"acc_norm\": 0.42063492063492064,\n\ \ \"acc_norm_stderr\": 0.04415438226743744\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7935483870967742,\n \"acc_stderr\": 0.023025899617188712,\n \"\ acc_norm\": 0.7935483870967742,\n \"acc_norm_stderr\": 0.023025899617188712\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n \"\ acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.76,\n \"acc_stderr\": 0.04292346959909282,\n \"acc_norm\"\ : 0.76,\n \"acc_norm_stderr\": 0.04292346959909282\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.032876667586034906,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.032876667586034906\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.803030303030303,\n \"acc_stderr\": 0.02833560973246336,\n \"acc_norm\"\ : 0.803030303030303,\n \"acc_norm_stderr\": 0.02833560973246336\n },\n\ \ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \ \ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.02381447708659355,\n\ \ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.02381447708659355\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6230769230769231,\n \"acc_stderr\": 0.024570975364225995,\n\ \ \"acc_norm\": 0.6230769230769231,\n \"acc_norm_stderr\": 0.024570975364225995\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3296296296296296,\n \"acc_stderr\": 0.028661201116524565,\n \ \ \"acc_norm\": 0.3296296296296296,\n \"acc_norm_stderr\": 0.028661201116524565\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6722689075630253,\n \"acc_stderr\": 0.03048991141767323,\n \ \ \"acc_norm\": 0.6722689075630253,\n \"acc_norm_stderr\": 0.03048991141767323\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.37748344370860926,\n \"acc_stderr\": 0.0395802723112157,\n \"\ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.0395802723112157\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8330275229357799,\n \"acc_stderr\": 0.01599015488507338,\n \"\ acc_norm\": 0.8330275229357799,\n \"acc_norm_stderr\": 0.01599015488507338\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.47685185185185186,\n \"acc_stderr\": 0.034063153607115065,\n \"\ acc_norm\": 0.47685185185185186,\n \"acc_norm_stderr\": 0.034063153607115065\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8088235294117647,\n \"acc_stderr\": 0.027599174300640766,\n \"\ acc_norm\": 0.8088235294117647,\n \"acc_norm_stderr\": 0.027599174300640766\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8016877637130801,\n \"acc_stderr\": 0.02595502084162113,\n \ \ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.02595502084162113\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.695067264573991,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7557251908396947,\n \"acc_stderr\": 0.03768335959728744,\n\ \ \"acc_norm\": 0.7557251908396947,\n \"acc_norm_stderr\": 0.03768335959728744\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8264462809917356,\n \"acc_stderr\": 0.03457272836917671,\n \"\ acc_norm\": 0.8264462809917356,\n \"acc_norm_stderr\": 0.03457272836917671\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7962962962962963,\n\ \ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\ \ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7484662576687117,\n \"acc_stderr\": 0.03408997886857529,\n\ \ \"acc_norm\": 0.7484662576687117,\n \"acc_norm_stderr\": 0.03408997886857529\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5357142857142857,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.5357142857142857,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\ \ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8888888888888888,\n\ \ \"acc_stderr\": 0.020588491316092368,\n \"acc_norm\": 0.8888888888888888,\n\ \ \"acc_norm_stderr\": 0.020588491316092368\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8288633461047255,\n\ \ \"acc_stderr\": 0.013468201614066302,\n \"acc_norm\": 0.8288633461047255,\n\ \ \"acc_norm_stderr\": 0.013468201614066302\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7052023121387283,\n \"acc_stderr\": 0.024547617794803828,\n\ \ \"acc_norm\": 0.7052023121387283,\n \"acc_norm_stderr\": 0.024547617794803828\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.35977653631284917,\n\ \ \"acc_stderr\": 0.016051419760310263,\n \"acc_norm\": 0.35977653631284917,\n\ \ \"acc_norm_stderr\": 0.016051419760310263\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.738562091503268,\n \"acc_stderr\": 0.025160998214292452,\n\ \ \"acc_norm\": 0.738562091503268,\n \"acc_norm_stderr\": 0.025160998214292452\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7138263665594855,\n\ \ \"acc_stderr\": 0.025670259242188933,\n \"acc_norm\": 0.7138263665594855,\n\ \ \"acc_norm_stderr\": 0.025670259242188933\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.02409347123262133,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.02409347123262133\n \ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"acc\"\ : 0.4858156028368794,\n \"acc_stderr\": 0.02981549448368206,\n \"\ acc_norm\": 0.4858156028368794,\n \"acc_norm_stderr\": 0.02981549448368206\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4634941329856584,\n\ \ \"acc_stderr\": 0.012736153390214961,\n \"acc_norm\": 0.4634941329856584,\n\ \ \"acc_norm_stderr\": 0.012736153390214961\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6654411764705882,\n \"acc_stderr\": 0.028661996202335303,\n\ \ \"acc_norm\": 0.6654411764705882,\n \"acc_norm_stderr\": 0.028661996202335303\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6748366013071896,\n \"acc_stderr\": 0.01895088677080631,\n \ \ \"acc_norm\": 0.6748366013071896,\n \"acc_norm_stderr\": 0.01895088677080631\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\ \ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\ \ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7183673469387755,\n \"acc_stderr\": 0.028795185574291286,\n\ \ \"acc_norm\": 0.7183673469387755,\n \"acc_norm_stderr\": 0.028795185574291286\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8606965174129353,\n\ \ \"acc_stderr\": 0.024484487162913973,\n \"acc_norm\": 0.8606965174129353,\n\ \ \"acc_norm_stderr\": 0.024484487162913973\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.03379976689896309,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.03379976689896309\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8011695906432749,\n \"acc_stderr\": 0.03061111655743253,\n\ \ \"acc_norm\": 0.8011695906432749,\n \"acc_norm_stderr\": 0.03061111655743253\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.39657282741738065,\n\ \ \"mc1_stderr\": 0.017124930942023515,\n \"mc2\": 0.5503162010975955,\n\ \ \"mc2_stderr\": 0.01574450133768535\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7805840568271507,\n \"acc_stderr\": 0.011631268360607778\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5253980288097043,\n \ \ \"acc_stderr\": 0.01375470508911231\n }\n}\n```" repo_url: https://huggingface.co/Sao10K/Ana-v1-m7 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|arc:challenge|25_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-13T11-00-42.385261.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|gsm8k|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hellaswag|10_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-13T11-00-42.385261.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-management|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-13T11-00-42.385261.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|truthfulqa:mc|0_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-13T11-00-42.385261.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_13T11_00_42.385261 path: - '**/details_harness|winogrande|5_2023-12-13T11-00-42.385261.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-13T11-00-42.385261.parquet' - config_name: results data_files: - split: 2023_12_13T11_00_42.385261 path: - results_2023-12-13T11-00-42.385261.parquet - split: latest path: - results_2023-12-13T11-00-42.385261.parquet --- # Dataset Card for Evaluation run of Sao10K/Ana-v1-m7 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Sao10K/Ana-v1-m7](https://huggingface.co/Sao10K/Ana-v1-m7) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Sao10K__Ana-v1-m7", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-13T11:00:42.385261](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Ana-v1-m7/blob/main/results_2023-12-13T11-00-42.385261.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.6450876976103553, "acc_stderr": 0.032232788125298194, "acc_norm": 0.6484944592637535, "acc_norm_stderr": 0.032869268033759086, "mc1": 0.39657282741738065, "mc1_stderr": 0.017124930942023515, "mc2": 0.5503162010975955, "mc2_stderr": 0.01574450133768535 }, "harness|arc:challenge|25": { "acc": 0.6407849829351536, "acc_stderr": 0.014020224155839152, "acc_norm": 0.674061433447099, "acc_norm_stderr": 0.013697432466693247 }, "harness|hellaswag|10": { "acc": 0.6762597092212707, "acc_stderr": 0.0046694598919176915, "acc_norm": 0.859788886675961, "acc_norm_stderr": 0.0034649633793799287 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6222222222222222, "acc_stderr": 0.04188307537595852, "acc_norm": 0.6222222222222222, "acc_norm_stderr": 0.04188307537595852 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6776315789473685, "acc_stderr": 0.03803510248351585, "acc_norm": 0.6776315789473685, "acc_norm_stderr": 0.03803510248351585 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6830188679245283, "acc_stderr": 0.02863723563980089, "acc_norm": 0.6830188679245283, "acc_norm_stderr": 0.02863723563980089 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7569444444444444, "acc_stderr": 0.035868792800803406, "acc_norm": 0.7569444444444444, "acc_norm_stderr": 0.035868792800803406 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6358381502890174, "acc_stderr": 0.03669072477416907, "acc_norm": 0.6358381502890174, "acc_norm_stderr": 0.03669072477416907 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.46078431372549017, "acc_stderr": 0.049598599663841815, "acc_norm": 0.46078431372549017, "acc_norm_stderr": 0.049598599663841815 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.79, "acc_stderr": 0.04093601807403326, "acc_norm": 0.79, "acc_norm_stderr": 0.04093601807403326 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5702127659574469, "acc_stderr": 0.03236214467715564, "acc_norm": 0.5702127659574469, "acc_norm_stderr": 0.03236214467715564 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5175438596491229, "acc_stderr": 0.04700708033551038, "acc_norm": 0.5175438596491229, "acc_norm_stderr": 0.04700708033551038 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5655172413793104, "acc_stderr": 0.04130740879555497, "acc_norm": 0.5655172413793104, "acc_norm_stderr": 0.04130740879555497 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.41534391534391535, "acc_stderr": 0.0253795249107784, "acc_norm": 0.41534391534391535, "acc_norm_stderr": 0.0253795249107784 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.42063492063492064, "acc_stderr": 0.04415438226743744, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.04415438226743744 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7935483870967742, "acc_stderr": 0.023025899617188712, "acc_norm": 0.7935483870967742, "acc_norm_stderr": 0.023025899617188712 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5123152709359606, "acc_stderr": 0.035169204442208966, "acc_norm": 0.5123152709359606, "acc_norm_stderr": 0.035169204442208966 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.76, "acc_stderr": 0.04292346959909282, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909282 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7696969696969697, "acc_stderr": 0.032876667586034906, "acc_norm": 0.7696969696969697, "acc_norm_stderr": 0.032876667586034906 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.803030303030303, "acc_stderr": 0.02833560973246336, "acc_norm": 0.803030303030303, "acc_norm_stderr": 0.02833560973246336 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8756476683937824, "acc_stderr": 0.02381447708659355, "acc_norm": 0.8756476683937824, "acc_norm_stderr": 0.02381447708659355 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6230769230769231, "acc_stderr": 0.024570975364225995, "acc_norm": 0.6230769230769231, "acc_norm_stderr": 0.024570975364225995 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3296296296296296, "acc_stderr": 0.028661201116524565, "acc_norm": 0.3296296296296296, "acc_norm_stderr": 0.028661201116524565 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6722689075630253, "acc_stderr": 0.03048991141767323, "acc_norm": 0.6722689075630253, "acc_norm_stderr": 0.03048991141767323 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.37748344370860926, "acc_stderr": 0.0395802723112157, "acc_norm": 0.37748344370860926, "acc_norm_stderr": 0.0395802723112157 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8330275229357799, "acc_stderr": 0.01599015488507338, "acc_norm": 0.8330275229357799, "acc_norm_stderr": 0.01599015488507338 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.47685185185185186, "acc_stderr": 0.034063153607115065, "acc_norm": 0.47685185185185186, "acc_norm_stderr": 0.034063153607115065 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8088235294117647, "acc_stderr": 0.027599174300640766, "acc_norm": 0.8088235294117647, "acc_norm_stderr": 0.027599174300640766 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8016877637130801, "acc_stderr": 0.02595502084162113, "acc_norm": 0.8016877637130801, "acc_norm_stderr": 0.02595502084162113 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.695067264573991, "acc_stderr": 0.030898610882477515, "acc_norm": 0.695067264573991, "acc_norm_stderr": 0.030898610882477515 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7557251908396947, "acc_stderr": 0.03768335959728744, "acc_norm": 0.7557251908396947, "acc_norm_stderr": 0.03768335959728744 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8264462809917356, "acc_stderr": 0.03457272836917671, "acc_norm": 0.8264462809917356, "acc_norm_stderr": 0.03457272836917671 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7962962962962963, "acc_stderr": 0.03893542518824847, "acc_norm": 0.7962962962962963, "acc_norm_stderr": 0.03893542518824847 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7484662576687117, "acc_stderr": 0.03408997886857529, "acc_norm": 0.7484662576687117, "acc_norm_stderr": 0.03408997886857529 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5357142857142857, "acc_stderr": 0.04733667890053756, "acc_norm": 0.5357142857142857, "acc_norm_stderr": 0.04733667890053756 }, "harness|hendrycksTest-management|5": { "acc": 0.7669902912621359, "acc_stderr": 0.04185832598928315, "acc_norm": 0.7669902912621359, "acc_norm_stderr": 0.04185832598928315 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8888888888888888, "acc_stderr": 0.020588491316092368, "acc_norm": 0.8888888888888888, "acc_norm_stderr": 0.020588491316092368 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8288633461047255, "acc_stderr": 0.013468201614066302, "acc_norm": 0.8288633461047255, "acc_norm_stderr": 0.013468201614066302 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7052023121387283, "acc_stderr": 0.024547617794803828, "acc_norm": 0.7052023121387283, "acc_norm_stderr": 0.024547617794803828 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.35977653631284917, "acc_stderr": 0.016051419760310263, "acc_norm": 0.35977653631284917, "acc_norm_stderr": 0.016051419760310263 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.738562091503268, "acc_stderr": 0.025160998214292452, "acc_norm": 0.738562091503268, "acc_norm_stderr": 0.025160998214292452 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7138263665594855, "acc_stderr": 0.025670259242188933, "acc_norm": 0.7138263665594855, "acc_norm_stderr": 0.025670259242188933 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.75, "acc_stderr": 0.02409347123262133, "acc_norm": 0.75, "acc_norm_stderr": 0.02409347123262133 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4858156028368794, "acc_stderr": 0.02981549448368206, "acc_norm": 0.4858156028368794, "acc_norm_stderr": 0.02981549448368206 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4634941329856584, "acc_stderr": 0.012736153390214961, "acc_norm": 0.4634941329856584, "acc_norm_stderr": 0.012736153390214961 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6654411764705882, "acc_stderr": 0.028661996202335303, "acc_norm": 0.6654411764705882, "acc_norm_stderr": 0.028661996202335303 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6748366013071896, "acc_stderr": 0.01895088677080631, "acc_norm": 0.6748366013071896, "acc_norm_stderr": 0.01895088677080631 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6727272727272727, "acc_stderr": 0.0449429086625209, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.0449429086625209 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7183673469387755, "acc_stderr": 0.028795185574291286, "acc_norm": 0.7183673469387755, "acc_norm_stderr": 0.028795185574291286 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8606965174129353, "acc_stderr": 0.024484487162913973, "acc_norm": 0.8606965174129353, "acc_norm_stderr": 0.024484487162913973 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.87, "acc_stderr": 0.03379976689896309, "acc_norm": 0.87, "acc_norm_stderr": 0.03379976689896309 }, "harness|hendrycksTest-virology|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8011695906432749, "acc_stderr": 0.03061111655743253, "acc_norm": 0.8011695906432749, "acc_norm_stderr": 0.03061111655743253 }, "harness|truthfulqa:mc|0": { "mc1": 0.39657282741738065, "mc1_stderr": 0.017124930942023515, "mc2": 0.5503162010975955, "mc2_stderr": 0.01574450133768535 }, "harness|winogrande|5": { "acc": 0.7805840568271507, "acc_stderr": 0.011631268360607778 }, "harness|gsm8k|5": { "acc": 0.5253980288097043, "acc_stderr": 0.01375470508911231 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
Zubairjamu/mydata
--- license: cc-by-3.0 ---
AdapterOcean/med_alpaca_standardized_cluster_51_alpaca
--- dataset_info: features: - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 29382535 num_examples: 16000 download_size: 14413180 dataset_size: 29382535 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "med_alpaca_standardized_cluster_51_alpaca" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_CHIH-HUNG__llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down
--- pretty_name: Evaluation run of CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down](https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_CHIH-HUNG__llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-25T21:40:15.944875](https://huggingface.co/datasets/open-llm-leaderboard/details_CHIH-HUNG__llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down/blob/main/results_2023-10-25T21-40-15.944875.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.07697147651006711,\n\ \ \"em_stderr\": 0.002729682408788614,\n \"f1\": 0.12191170302013389,\n\ \ \"f1_stderr\": 0.0028589398116221384,\n \"acc\": 0.44546584943629414,\n\ \ \"acc_stderr\": 0.01035635936441261\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.07697147651006711,\n \"em_stderr\": 0.002729682408788614,\n\ \ \"f1\": 0.12191170302013389,\n \"f1_stderr\": 0.0028589398116221384\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.11902956785443518,\n \ \ \"acc_stderr\": 0.00891970291116163\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7719021310181531,\n \"acc_stderr\": 0.011793015817663592\n\ \ }\n}\n```" repo_url: https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|arc:challenge|25_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-10-10T10-20-42.158103.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_25T21_40_15.944875 path: - '**/details_harness|drop|3_2023-10-25T21-40-15.944875.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-25T21-40-15.944875.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_25T21_40_15.944875 path: - '**/details_harness|gsm8k|5_2023-10-25T21-40-15.944875.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-25T21-40-15.944875.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hellaswag|10_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-management|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-management|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-10-10T10-20-42.158103.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-management|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-virology|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T10-20-42.158103.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_10T10_20_42.158103 path: - '**/details_harness|truthfulqa:mc|0_2023-10-10T10-20-42.158103.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-10-10T10-20-42.158103.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_25T21_40_15.944875 path: - '**/details_harness|winogrande|5_2023-10-25T21-40-15.944875.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-25T21-40-15.944875.parquet' - config_name: results data_files: - split: 2023_10_10T10_20_42.158103 path: - results_2023-10-10T10-20-42.158103.parquet - split: 2023_10_25T21_40_15.944875 path: - results_2023-10-25T21-40-15.944875.parquet - split: latest path: - results_2023-10-25T21-40-15.944875.parquet --- # Dataset Card for Evaluation run of CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down](https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_CHIH-HUNG__llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-25T21:40:15.944875](https://huggingface.co/datasets/open-llm-leaderboard/details_CHIH-HUNG__llama-2-13b-FINETUNE5_4w-r8-q_k_v_o_gate_up_down/blob/main/results_2023-10-25T21-40-15.944875.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.07697147651006711, "em_stderr": 0.002729682408788614, "f1": 0.12191170302013389, "f1_stderr": 0.0028589398116221384, "acc": 0.44546584943629414, "acc_stderr": 0.01035635936441261 }, "harness|drop|3": { "em": 0.07697147651006711, "em_stderr": 0.002729682408788614, "f1": 0.12191170302013389, "f1_stderr": 0.0028589398116221384 }, "harness|gsm8k|5": { "acc": 0.11902956785443518, "acc_stderr": 0.00891970291116163 }, "harness|winogrande|5": { "acc": 0.7719021310181531, "acc_stderr": 0.011793015817663592 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
xiaohan2023/tulu-v2-sft-mix
--- license: mit ---
HoangHa/processed_lima
--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 2850866 num_examples: 1030 download_size: 1679958 dataset_size: 2850866 --- # Dataset Card for "processed_lima" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
TheTung/squad_es_v2
--- annotations_creators: - machine-generated language_creators: - machine-generated language: - es license: - cc-by-4.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - extended|squad task_categories: - question-answering task_ids: - extractive-qa paperswithcode_id: squad-es pretty_name: SQuAD-es dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 config_name: v1.1.0 splits: - name: train num_bytes: 83680438 num_examples: 87595 - name: validation num_bytes: 10955800 num_examples: 10570 download_size: 39291362 dataset_size: 94636238 --- # Dataset Card for "squad_es" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [https://github.com/ccasimiro88/TranslateAlignRetrieve](https://github.com/ccasimiro88/TranslateAlignRetrieve) - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Size of downloaded dataset files:** 39.29 MB - **Size of the generated dataset:** 94.63 MB - **Total amount of disk used:** 133.92 MB ### Dataset Summary Automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### v1.1.0 - **Size of downloaded dataset files:** 39.29 MB - **Size of the generated dataset:** 94.63 MB - **Total amount of disk used:** 133.92 MB An example of 'train' looks as follows. ``` This example was too long and was cropped: { "answers": { "answer_start": [404, 356, 356], "text": ["Santa Clara, California", "Levi 's Stadium", "Levi 's Stadium en la Bahía de San Francisco en Santa Clara, California."] }, "context": "\"El Super Bowl 50 fue un partido de fútbol americano para determinar al campeón de la NFL para la temporada 2015. El campeón de ...", "id": "56be4db0acb8001400a502ee", "question": "¿Dónde tuvo lugar el Super Bowl 50?", "title": "Super Bowl _ 50" } ``` ### Data Fields The data fields are the same among all splits. #### v1.1.0 - `id`: a `string` feature. - `title`: a `string` feature. - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `text`: a `string` feature. - `answer_start`: a `int32` feature. ### Data Splits | name |train|validation| |------|----:|---------:| |v1.1.0|87595| 10570| ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information The SQuAD-es dataset is licensed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. ### Citation Information ``` @article{2016arXiv160605250R, author = {Casimiro Pio , Carrino and Marta R. , Costa-jussa and Jose A. R. , Fonollosa}, title = "{Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering}", journal = {arXiv e-prints}, year = 2019, eid = {arXiv:1912.05200v1}, pages = {arXiv:1912.05200v1}, archivePrefix = {arXiv}, eprint = {1912.05200v2}, } ``` license: mit task_categories: - question-answering language: - es size_categories: - 10K<n<100K ---
galman33/gal_yair_83000_256x256_fixed
--- dataset_info: features: - name: lat dtype: float64 - name: lon dtype: float64 - name: country_code dtype: class_label: names: '0': ad '1': ae '2': al '3': aq '4': ar '5': au '6': bd '7': be '8': bg '9': bm '10': bo '11': br '12': bt '13': bw '14': ca '15': ch '16': cl '17': co '18': cz '19': de '20': dk '21': ec '22': ee '23': es '24': fi '25': fr '26': gb '27': gh '28': gl '29': gr '30': gt '31': hk '32': hr '33': hu '34': id '35': ie '36': il '37': is '38': it '39': ix '40': jp '41': kg '42': kh '43': kr '44': la '45': lk '46': ls '47': lt '48': lu '49': lv '50': me '51': mg '52': mk '53': mn '54': mo '55': mt '56': mx '57': my '58': nl '59': 'no' '60': nz '61': pe '62': ph '63': pl '64': pt '65': ro '66': rs '67': ru '68': se '69': sg '70': si '71': sk '72': sn '73': sz '74': th '75': tn '76': tr '77': tw '78': ua '79': ug '80': us '81': uy '82': za - name: image dtype: image splits: - name: train num_bytes: 8075723633.0 num_examples: 83000 download_size: 8055991198 dataset_size: 8075723633.0 --- # Dataset Card for "gal_yair_83000_256x256_fixed" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
AdapterOcean/med_alpaca_standardized_cluster_42_std
--- dataset_info: features: - name: message dtype: string - name: message_type dtype: string - name: message_id dtype: int64 - name: conversation_id dtype: int64 - name: cluster dtype: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 11521964 num_examples: 21231 download_size: 6120586 dataset_size: 11521964 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "med_alpaca_standardized_cluster_42_std" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Maxx0/DatasetProfy
--- license: apache-2.0 ---
open-llm-leaderboard/details_PeanutJar__Mistral-v0.1-PeanutButter-v0.0.0-7B
--- pretty_name: Evaluation run of PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B](https://huggingface.co/PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_PeanutJar__Mistral-v0.1-PeanutButter-v0.0.0-7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-28T17:59:18.672226](https://huggingface.co/datasets/open-llm-leaderboard/details_PeanutJar__Mistral-v0.1-PeanutButter-v0.0.0-7B/blob/main/results_2023-10-28T17-59-18.672226.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.007655201342281879,\n\ \ \"em_stderr\": 0.0008925843316825968,\n \"f1\": 0.06762374161073832,\n\ \ \"f1_stderr\": 0.0015672145775403328,\n \"acc\": 0.48594340621826704,\n\ \ \"acc_stderr\": 0.011102174081480334\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.007655201342281879,\n \"em_stderr\": 0.0008925843316825968,\n\ \ \"f1\": 0.06762374161073832,\n \"f1_stderr\": 0.0015672145775403328\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.18498862774829417,\n \ \ \"acc_stderr\": 0.010695390472237908\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7868981846882399,\n \"acc_stderr\": 0.01150895769072276\n\ \ }\n}\n```" repo_url: https://huggingface.co/PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|arc:challenge|25_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-10-09T13-03-57.822479.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T17_59_18.672226 path: - '**/details_harness|drop|3_2023-10-28T17-59-18.672226.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-28T17-59-18.672226.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T17_59_18.672226 path: - '**/details_harness|gsm8k|5_2023-10-28T17-59-18.672226.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-28T17-59-18.672226.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hellaswag|10_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-management|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-management|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-10-09T13-03-57.822479.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-international_law|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-management|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-marketing|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-sociology|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-virology|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_09T13_03_57.822479 path: - '**/details_harness|truthfulqa:mc|0_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-10-09T13-03-57.822479.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T17_59_18.672226 path: - '**/details_harness|winogrande|5_2023-10-28T17-59-18.672226.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-28T17-59-18.672226.parquet' - config_name: results data_files: - split: 2023_10_09T13_03_57.822479 path: - results_2023-10-09T13-03-57.822479.parquet - split: 2023_10_28T17_59_18.672226 path: - results_2023-10-28T17-59-18.672226.parquet - split: latest path: - results_2023-10-28T17-59-18.672226.parquet --- # Dataset Card for Evaluation run of PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B](https://huggingface.co/PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_PeanutJar__Mistral-v0.1-PeanutButter-v0.0.0-7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-28T17:59:18.672226](https://huggingface.co/datasets/open-llm-leaderboard/details_PeanutJar__Mistral-v0.1-PeanutButter-v0.0.0-7B/blob/main/results_2023-10-28T17-59-18.672226.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.007655201342281879, "em_stderr": 0.0008925843316825968, "f1": 0.06762374161073832, "f1_stderr": 0.0015672145775403328, "acc": 0.48594340621826704, "acc_stderr": 0.011102174081480334 }, "harness|drop|3": { "em": 0.007655201342281879, "em_stderr": 0.0008925843316825968, "f1": 0.06762374161073832, "f1_stderr": 0.0015672145775403328 }, "harness|gsm8k|5": { "acc": 0.18498862774829417, "acc_stderr": 0.010695390472237908 }, "harness|winogrande|5": { "acc": 0.7868981846882399, "acc_stderr": 0.01150895769072276 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
averageandyyy/part_1_imda_10000
--- dataset_info: features: - name: transcript dtype: string - name: path dtype: string - name: waveform sequence: float64 splits: - name: train num_bytes: 6702801413.012406 num_examples: 10000 download_size: 1615604216 dataset_size: 6702801413.012406 --- # Dataset Card for "part_1_imda_10000" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
kpriyanshu256/MultiTabQA-multitable_pretraining-Salesforce-codet5-base_train-latex-66000
--- dataset_info: features: - name: input_ids sequence: sequence: int32 - name: attention_mask sequence: sequence: int8 - name: labels sequence: sequence: int64 splits: - name: train num_bytes: 13336000 num_examples: 1000 download_size: 971922 dataset_size: 13336000 configs: - config_name: default data_files: - split: train path: data/train-* ---
manishiitg/teknium-GPTeacher-General-Instruct
--- dataset_info: features: - name: system dtype: string - name: instruction dtype: string - name: response dtype: string - name: lang dtype: string splits: - name: train num_bytes: 209818632 num_examples: 178520 download_size: 99430639 dataset_size: 209818632 configs: - config_name: default data_files: - split: train path: data/train-* ---
Miniex/Bulmavoz2
--- license: openrail ---
AlexanderLJX/Dining-Insights
--- license: mit ---
jahb57/gpt2_embeddings_BATCH_5
--- dataset_info: features: - name: sentence dtype: string - name: last_hidden_state sequence: sequence: float32 splits: - name: train num_bytes: 18223400336 num_examples: 100000 download_size: 18270602271 dataset_size: 18223400336 configs: - config_name: default data_files: - split: train path: data/train-* ---
Muennighoff/xstory_cloze
--- annotations_creators: - found language_creators: - found language: - ar - es - eu - hi - id - zh - ru - my license: - unknown multilinguality: - multilingual size_categories: - 1K<n<10K source_datasets: - original task_ids: [] tags: - other-story-completion --- # Dataset Card for "story_cloze" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description ### Dataset Summary Story Cloze Test' is a new commonsense reasoning framework for evaluating story understanding, story generation, and script learning.This test requires a system to choose the correct ending to a four-sentence story. ### Data Instances - **Size of downloaded dataset files:** 2.03 MB - **Size of the generated dataset:** 2.03 MB - **Total amount of disk used:** 2.05 MB An example of 'train' looks as follows. ``` {'answer_right_ending': 1, 'input_sentence_1': 'Rick grew up in a troubled household.', 'input_sentence_2': 'He never found good support in family, and turned to gangs.', 'input_sentence_3': "It wasn't long before Rick got shot in a robbery.", 'input_sentence_4': 'The incident caused him to turn a new leaf.', 'sentence_quiz1': 'He is happy now.', 'sentence_quiz2': 'He joined a gang.', 'story_id': '138d5bfb-05cc-41e3-bf2c-fa85ebad14e2'} ``` ### Data Fields The data fields are the same among all splits. - `input_sentence_1`: The first statement in the story. - `input_sentence_2`: The second statement in the story. - `input_sentence_3`: The third statement in the story. - `input_sentence_4`: The forth statement in the story. - `sentence_quiz1`: first possible continuation of the story. - `sentence_quiz2`: second possible continuation of the story. - `answer_right_ending`: correct possible ending; either 1 or 2. - `story_id`: story id. ### Data Splits | name |validation |test| |-------|-----:|---:| |lang|1871|1871|
chirunder/MSCS_40_page
--- dataset_info: features: - name: html dtype: string splits: - name: train num_bytes: 6973933 num_examples: 40 download_size: 1637020 dataset_size: 6973933 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "MSCS_40_page" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
chathuru/SplunkAttackRangeAlerts-v2
--- dataset_info: features: - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 157136 num_examples: 536 - name: test num_bytes: 37310 num_examples: 134 download_size: 43233 dataset_size: 194446 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
CyberHarem/asahi_takiguchi_mahoushoujosite
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Asahi Takiguchi This is the dataset of Asahi Takiguchi, containing 21 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 21 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 46 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 21 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 21 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 21 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 21 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 21 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 46 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 46 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 46 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |
JoinDatawithme/Humanface_of_various_age_groups
--- license: apache-2.0 language: - en tags: - face - humanface - ml - face recognition - Generated data - dataset size_categories: - 100K<n<1M --- 📚 Dataset Introduction · This dataset is constructed with generated data and contains a total of 1000 human face images with a resolution of 1024x1024. · The filenames are the corresponding labels for the images, formatted as "Number"-"Gender"-"Age". · The dataset includes 500 images of each gender, distributed across different age groups (1-10, 11-20, 21-30, 31-40, over 40) with 100 images for each group. This dataset is a sample of 1000 images from the full collection. For more data inquiries, feel free to contact us 😄 🤖 About Us: We are developers from China, dedicated to accelerating AI development with high-quality data. 📮 Contact information: huawuque@join-intelligence.com
CyberHarem/beatrice_rezero
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of beatrice (Re:Zero Kara Hajimeru Isekai Seikatsu) This is the dataset of beatrice (Re:Zero Kara Hajimeru Isekai Seikatsu), containing 200 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
joey234/mmlu-anatomy-neg-answer
--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: neg_answer dtype: string splits: - name: test num_bytes: 38830 num_examples: 135 download_size: 24408 dataset_size: 38830 --- # Dataset Card for "mmlu-anatomy-neg-answer" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
NoahMartinezXiang/CREMA-D
--- license: apache-2.0 ---
HugAda/ada-sokol-style
--- license: afl-3.0 ---
contemmcm/amazon_reviews_2013
--- task_categories: - text-classification configs: - config_name: all data_files: - split: train path: "amazon_reviews_2013/all/train-*.parquet" - split: test path: "amazon_reviews_2013/all/test-*.parquet" default: true - config_name: amazon-instant-video data_files: - split: train path: "amazon_reviews_2013/amazon-instant-video/train-*.parquet" - split: test path: "amazon_reviews_2013/amazon-instant-video/test-*.parquet" - config_name: arts data_files: - split: train path: "amazon_reviews_2013/arts/train-*.parquet" - split: test path: "amazon_reviews_2013/arts/test-*.parquet" - config_name: automotive data_files: - split: train path: "amazon_reviews_2013/automotive/train-*.parquet" - split: test path: "amazon_reviews_2013/automotive/test-*.parquet" - config_name: baby data_files: - split: train path: "amazon_reviews_2013/baby/train-*.parquet" - split: test path: "amazon_reviews_2013/baby/test-*.parquet" - config_name: beauty data_files: - split: train path: "amazon_reviews_2013/beauty/train-*.parquet" - split: test path: "amazon_reviews_2013/beauty/test-*.parquet" - config_name: book data_files: - split: train path: "amazon_reviews_2013/book/train-*.parquet" - split: test path: "amazon_reviews_2013/book/test-*.parquet" - config_name: cell-phone data_files: - split: train path: "amazon_reviews_2013/cell-phone/train-*.parquet" - split: test path: "amazon_reviews_2013/cell-phone/test-*.parquet" - config_name: clothing data_files: - split: train path: "amazon_reviews_2013/clothing/train-*.parquet" - split: test path: "amazon_reviews_2013/clothing/test-*.parquet" - config_name: electronics data_files: - split: train path: "amazon_reviews_2013/electronics/train-*.parquet" - split: test path: "amazon_reviews_2013/electronics/test-*.parquet" - config_name: gourmet-food data_files: - split: train path: "amazon_reviews_2013/gourmet-food/train-*.parquet" - split: test path: "amazon_reviews_2013/gourmet-food/test-*.parquet" - config_name: health data_files: - split: train path: "amazon_reviews_2013/health/train-*.parquet" - split: test path: "amazon_reviews_2013/health/test-*.parquet" - config_name: home-kitchen data_files: - split: train path: "amazon_reviews_2013/home-kitchen/train-*.parquet" - split: test path: "amazon_reviews_2013/home-kitchen/test-*.parquet" - config_name: industrial-scientific data_files: - split: train path: "amazon_reviews_2013/industrial-scientific/train-*.parquet" - split: test path: "amazon_reviews_2013/industrial-scientific/test-*.parquet" - config_name: jewelry data_files: - split: train path: "amazon_reviews_2013/jewelry/train-*.parquet" - split: test path: "amazon_reviews_2013/jewelry/test-*.parquet" - config_name: kindle-store data_files: - split: train path: "amazon_reviews_2013/kindle-store/train-*.parquet" - split: test path: "amazon_reviews_2013/kindle-store/test-*.parquet" - config_name: movie-tv data_files: - split: train path: "amazon_reviews_2013/movie-tv/train-*.parquet" - split: test path: "amazon_reviews_2013/movie-tv/test-*.parquet" - config_name: music data_files: - split: train path: "amazon_reviews_2013/music/train-*.parquet" - split: test path: "amazon_reviews_2013/music/test-*.parquet" - config_name: musical-instrument data_files: - split: train path: "amazon_reviews_2013/musical-instrument/train-*.parquet" - split: test path: "amazon_reviews_2013/musical-instrument/test-*.parquet" - config_name: office data_files: - split: train path: "amazon_reviews_2013/office/train-*.parquet" - split: test path: "amazon_reviews_2013/office/test-*.parquet" - config_name: patio data_files: - split: train path: "amazon_reviews_2013/patio/train-*.parquet" - split: test path: "amazon_reviews_2013/patio/test-*.parquet" - config_name: pet-supply data_files: - split: train path: "amazon_reviews_2013/pet-supply/train-*.parquet" - split: test path: "amazon_reviews_2013/pet-supply/test-*.parquet" - config_name: shoe data_files: - split: train path: "amazon_reviews_2013/shoe/train-*.parquet" - split: test path: "amazon_reviews_2013/shoe/test-*.parquet" - config_name: software data_files: - split: train path: "amazon_reviews_2013/software/train-*.parquet" - split: test path: "amazon_reviews_2013/software/test-*.parquet" - config_name: sports-outdoor data_files: - split: train path: "amazon_reviews_2013/sports-outdoor/train-*.parquet" - split: test path: "amazon_reviews_2013/sports-outdoor/test-*.parquet" - config_name: tools-home-improvement data_files: - split: train path: "amazon_reviews_2013/tools-home-improvement/train-*.parquet" - split: test path: "amazon_reviews_2013/tools-home-improvement/test-*.parquet" - config_name: toy-game data_files: - split: train path: "amazon_reviews_2013/toy-game/train-*.parquet" - split: test path: "amazon_reviews_2013/toy-game/test-*.parquet" - config_name: video-game data_files: - split: train path: "amazon_reviews_2013/video-game/train-*.parquet" - split: test path: "amazon_reviews_2013/video-game/test-*.parquet" - config_name: all data_files: - split: train path: "amazon_reviews_2013/watch/train-*.parquet" - split: test path: "amazon_reviews_2013/watch/test-*.parquet" dataset_info: features: - name: product/title dtype: string - name: product/price dtype: string - name: review/helpfulness dtype: string - name: review/score dtype: class_label: names: '0': 1 star '1': 2 stars '2': 3 stars '3': 4 stars '4': 5 stars - name: review/time dtype: int64 - name: review/summary dtype: string - name: review/text dtype: string - name: product/category dtype: class_label: names: '0': Amazon Instant Video '1': Arts '2': Automotive '3': Baby '4': Beauty '5': Book '6': Cell Phone '7': Clothing '8': Electronics '9': Gourmet Food '10': Health '11': Home & Kitchen '12': Industrial & Scientific '13': Jewelry '14': Kindle Store '15': Movie & TV '16': Musical Instrument '17': Music '18': Office '19': Patio '20': Pet Supply '21': Shoe '22': Software '23': Sports & Outdoor '24': Tools & Home Improvement '25': Toy & Game '26': Video Game '27': Watch - name: review/helpfulness_ratio dtype: float64 - name: review/helpfulness_total_votes dtype: int64 ---
satyadewangan/processed_open_orca
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 9287922 num_examples: 4585 download_size: 5190003 dataset_size: 9287922 configs: - config_name: default data_files: - split: train path: data/train-* ---
kristinashemet/Instruction_Input_dataset_07_04
--- dataset_info: features: - name: Instruction dtype: string - name: Input dtype: string splits: - name: train num_bytes: 297331 num_examples: 29 download_size: 141941 dataset_size: 297331 configs: - config_name: default data_files: - split: train path: data/train-* ---
dongyoung4091/shp-generated_flan_t5_large_flan_t5_zeroshot
--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string - name: zeroshot_helpfulness dtype: float64 - name: zeroshot_specificity dtype: float64 - name: zeroshot_intent dtype: float64 - name: zeroshot_factuality dtype: float64 - name: zeroshot_easy-to-understand dtype: int64 - name: zeroshot_relevance dtype: int64 - name: zeroshot_readability dtype: int64 - name: zeroshot_enough-detail dtype: int64 - name: 'zeroshot_biased:' dtype: float64 - name: zeroshot_fail-to-consider-individual-preferences dtype: float64 - name: zeroshot_repetetive dtype: float64 - name: zeroshot_fail-to-consider-context dtype: float64 - name: zeroshot_too-long dtype: int64 splits: - name: train num_bytes: 29519465 num_examples: 25600 download_size: 1900231 dataset_size: 29519465 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "shp-generated_flan_t5_large_flan_t5_zeroshot" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
argmaxinc/whisperkit-evals_01-30-24
--- pretty_name: "WhisperKit ASR Evaluation Results" tags: - whisper - whisperkit - coreml - asr - quantized --- # WhisperKit Evaluation Results ## Dataset: `librispeech` ### WhisperKit + `openai_whisper-large-v3` (+optimized variants) | | WER | QoI (%) | File Size (MB) | |:----------------------------------------------------------------------------------------------------------------------------------------------|------:|----------:|-----------------:| | [openai_whisper-large-v3](https://huggingface.co/argmaxinc/whisperkit-coreml-rc1/tree/main/openai_whisper-large-v3) | 2.44 | 100 | 3100 | | [openai_whisper-large-v3_turbo](https://huggingface.co/argmaxinc/whisperkit-coreml-rc1/tree/main/openai_whisper-large-v3_turbo) | 2.41 | 99.8 | 3100 | | [openai_whisper-large-v3_turbo_1307MB](https://huggingface.co/argmaxinc/whisperkit-coreml-rc1/tree/main/openai_whisper-large-v3_turbo_1307MB) | 2.6 | 97.7 | 1307 | | [openai_whisper-large-v3_turbo_1049MB](https://huggingface.co/argmaxinc/whisperkit-coreml-rc1/tree/main/openai_whisper-large-v3_turbo_1049MB) | 4.81 | 91 | 1049 | | [openai_whisper-large-v3_1053MB](https://huggingface.co/argmaxinc/whisperkit-coreml-rc1/tree/main/openai_whisper-large-v3_1053MB) | 4.65 | 90.8 | 1053 | ### Different Projects + `openai_whisper-large-v3` | | WER | Commit Hash | Model Format | |:-------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------|:--------------|:---------------| | [WhisperKit](https://github.com/argmaxinc/whisperkit) | [2.44](https://hf.co/datasets/argmaxinc/whisperkit-evals-rc1/tree/main/WhisperKit/openai_whisper-large-v3/librispeech) | 0f8b4fe | Core ML | | [WhisperCpp](https://github.com/ggerganov/whisper.cpp) | [2.36](https://hf.co/datasets/argmaxinc/whisperkit-evals-rc1/tree/main/whisper.cpp/openai_whisper-large-v3/librispeech) | e72e415 | Core ML + GGUF | | [WhisperMLX](https://github.com/ml-explore/mlx-examples/blob/main/whisper/whisper/transcribe.py) | [2.69](https://hf.co/datasets/argmaxinc/whisperkit-evals-rc1/tree/main/WhisperMLX/openai_whisper-large-v3/librispeech) | 614de66 | MLX (Numpy) | ### Quality-of-Inference (QoI) Certification We believe that rigorously measuring the quality of inference is necessary for developers and enterprises to make informed decisions when opting to use optimized or compressed variants of Whisper models in production. The current measurements are between reference and optimized WhisperKit models. We are going to extend the scope of this measurement to other Whisper implementations soon so developers can certify the behavior change (if any) caused by alternating use of WhisperKit with (or migration from) these implementations. In all measurements, we care primarily about per-example no-regressions (quantified as `qoi` below) which is a stricter metric compared to dataset average WER. A 100% `qoi` preserves perfect backwards-compatibility on the test distribution and avoids "perceived regressions", the phenomenon where per-example known behavior changes after a code/model update and causes divergence in downstream code or breaks the user experience itself (even if dataset averages might stay flat across updates). Pseudocode for `qoi`: ```python qoi = [] for example in dataset: no_regression = wer(optimized_model(example)) <= wer(reference_model(example)) qoi.append(no_regression) qoi = (sum(qoi) / len(qoi)) * 100. ``` We define the reference model as the default float16 precision Core ML model that is generated by whisperkittools. This reference model matches the accuracy of the original PyTorch model on the specified test sets. We use `librispeech/test.clean` (5 hours of short English audio clips) as our testing set for Whisper. We are actively expanding our test set coverage to `earnings22` (120 hours of long English audio clips with various accents). We anticipate developers that use Whisper in production to have their own Quality Assurance test sets and whisperkittools offers the tooling necessary to run the same measurements on such custom test sets, please see the [Model Evaluation on Custom Dataset](#evaluate-on-custom-dataset) for details. ### Reproducing Results Results in this page are generated by our cluster of Apple Silicon Macs. We use them as self-hosted runners on Github Actions as our CI infrastructure. Due to [security concerns](https://docs.github.com/en/actions/security-guides/security-hardening-for-github-actions#hardening-for-self-hosted-runners), we are unable to open up the cluster to the public. However, any Apple Silicon Mac (even with 8GB RAM) can be used to run identical [evaluation jobs](#evaluation) locally. For reference, our M2 Ultra devices complete a `librispeech` + `openai/whisper-large-v3` evaluation in under 1 hour regardless of the Whisper implementation. Older Apple Silicon Macs should take less than 1 day to complete the same evaluation. Glossary: - `_turbo`: Indicates the presence of additional optimizations (not compression) to unlock streaming transcription as described in our [Blog Post](https://www.takeargmax.com/blog/whisperkit). - `_*MB`: Indicates the presence of mixed-bit quantization. Instead of cluttering the filename with details like `_AudioEncoder-5.8bits_TextDecoder-6.1bits`, we choose to summarize the compression spec as the resulting total file size since this is what matters to developers in production.
allennghayoui/code_assistant_dataset
--- license: apache-2.0 ---
open-llm-leaderboard/details_sarahlintang__mistral-indo-7b
--- pretty_name: Evaluation run of sarahlintang/mistral-indo-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [sarahlintang/mistral-indo-7b](https://huggingface.co/sarahlintang/mistral-indo-7b)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_sarahlintang__mistral-indo-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-03T21:47:22.078031](https://huggingface.co/datasets/open-llm-leaderboard/details_sarahlintang__mistral-indo-7b/blob/main/results_2024-02-03T21-47-22.078031.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6261916134620902,\n\ \ \"acc_stderr\": 0.032466151879964746,\n \"acc_norm\": 0.6326766330349893,\n\ \ \"acc_norm_stderr\": 0.033132950603814465,\n \"mc1\": 0.28518971848225216,\n\ \ \"mc1_stderr\": 0.015805827874454892,\n \"mc2\": 0.423359772241798,\n\ \ \"mc2_stderr\": 0.014387833736527744\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5725255972696246,\n \"acc_stderr\": 0.014456862944650647,\n\ \ \"acc_norm\": 0.6109215017064846,\n \"acc_norm_stderr\": 0.014247309976045607\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6156144194383589,\n\ \ \"acc_stderr\": 0.0048545552940175585,\n \"acc_norm\": 0.8118900617406891,\n\ \ \"acc_norm_stderr\": 0.0039000125049579717\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.046482319871173156,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.046482319871173156\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6447368421052632,\n \"acc_stderr\": 0.038947344870133176,\n\ \ \"acc_norm\": 0.6447368421052632,\n \"acc_norm_stderr\": 0.038947344870133176\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6792452830188679,\n \"acc_stderr\": 0.028727502957880267,\n\ \ \"acc_norm\": 0.6792452830188679,\n \"acc_norm_stderr\": 0.028727502957880267\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7291666666666666,\n\ \ \"acc_stderr\": 0.037161774375660164,\n \"acc_norm\": 0.7291666666666666,\n\ \ \"acc_norm_stderr\": 0.037161774375660164\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.54,\n\ \ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6184971098265896,\n\ \ \"acc_stderr\": 0.03703851193099521,\n \"acc_norm\": 0.6184971098265896,\n\ \ \"acc_norm_stderr\": 0.03703851193099521\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.39215686274509803,\n \"acc_stderr\": 0.048580835742663454,\n\ \ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.048580835742663454\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5872340425531914,\n \"acc_stderr\": 0.03218471141400351,\n\ \ \"acc_norm\": 0.5872340425531914,\n \"acc_norm_stderr\": 0.03218471141400351\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4649122807017544,\n\ \ \"acc_stderr\": 0.046920083813689104,\n \"acc_norm\": 0.4649122807017544,\n\ \ \"acc_norm_stderr\": 0.046920083813689104\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5448275862068965,\n \"acc_stderr\": 0.04149886942192117,\n\ \ \"acc_norm\": 0.5448275862068965,\n \"acc_norm_stderr\": 0.04149886942192117\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.41798941798941797,\n \"acc_stderr\": 0.025402555503260912,\n \"\ acc_norm\": 0.41798941798941797,\n \"acc_norm_stderr\": 0.025402555503260912\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.40476190476190477,\n\ \ \"acc_stderr\": 0.04390259265377562,\n \"acc_norm\": 0.40476190476190477,\n\ \ \"acc_norm_stderr\": 0.04390259265377562\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7419354838709677,\n\ \ \"acc_stderr\": 0.024892469172462836,\n \"acc_norm\": 0.7419354838709677,\n\ \ \"acc_norm_stderr\": 0.024892469172462836\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.4876847290640394,\n \"acc_stderr\": 0.035169204442208966,\n\ \ \"acc_norm\": 0.4876847290640394,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7636363636363637,\n \"acc_stderr\": 0.03317505930009182,\n\ \ \"acc_norm\": 0.7636363636363637,\n \"acc_norm_stderr\": 0.03317505930009182\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7777777777777778,\n \"acc_stderr\": 0.02962022787479048,\n \"\ acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.02962022787479048\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8652849740932642,\n \"acc_stderr\": 0.02463978909770944,\n\ \ \"acc_norm\": 0.8652849740932642,\n \"acc_norm_stderr\": 0.02463978909770944\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6384615384615384,\n \"acc_stderr\": 0.024359581465396997,\n\ \ \"acc_norm\": 0.6384615384615384,\n \"acc_norm_stderr\": 0.024359581465396997\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.34444444444444444,\n \"acc_stderr\": 0.028972648884844267,\n \ \ \"acc_norm\": 0.34444444444444444,\n \"acc_norm_stderr\": 0.028972648884844267\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6512605042016807,\n \"acc_stderr\": 0.030956636328566548,\n\ \ \"acc_norm\": 0.6512605042016807,\n \"acc_norm_stderr\": 0.030956636328566548\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.2781456953642384,\n \"acc_stderr\": 0.03658603262763743,\n \"\ acc_norm\": 0.2781456953642384,\n \"acc_norm_stderr\": 0.03658603262763743\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8238532110091743,\n \"acc_stderr\": 0.01633288239343138,\n \"\ acc_norm\": 0.8238532110091743,\n \"acc_norm_stderr\": 0.01633288239343138\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.034099716973523674,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.034099716973523674\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ : {\n \"acc\": 0.7843137254901961,\n \"acc_stderr\": 0.02886743144984932,\n\ \ \"acc_norm\": 0.7843137254901961,\n \"acc_norm_stderr\": 0.02886743144984932\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.759493670886076,\n \"acc_stderr\": 0.027820781981149685,\n \ \ \"acc_norm\": 0.759493670886076,\n \"acc_norm_stderr\": 0.027820781981149685\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057222,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057222\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.03547771004159463,\n\ \ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.03547771004159463\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8099173553719008,\n \"acc_stderr\": 0.03581796951709282,\n \"\ acc_norm\": 0.8099173553719008,\n \"acc_norm_stderr\": 0.03581796951709282\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.04236511258094633,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.04236511258094633\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7484662576687117,\n \"acc_stderr\": 0.034089978868575295,\n\ \ \"acc_norm\": 0.7484662576687117,\n \"acc_norm_stderr\": 0.034089978868575295\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5089285714285714,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.5089285714285714,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.03916667762822584,\n\ \ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.03916667762822584\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8589743589743589,\n\ \ \"acc_stderr\": 0.022801382534597528,\n \"acc_norm\": 0.8589743589743589,\n\ \ \"acc_norm_stderr\": 0.022801382534597528\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.73,\n \"acc_stderr\": 0.04461960433384739,\n \ \ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.04461960433384739\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8160919540229885,\n\ \ \"acc_stderr\": 0.013853724170922524,\n \"acc_norm\": 0.8160919540229885,\n\ \ \"acc_norm_stderr\": 0.013853724170922524\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6907514450867052,\n \"acc_stderr\": 0.02488314057007176,\n\ \ \"acc_norm\": 0.6907514450867052,\n \"acc_norm_stderr\": 0.02488314057007176\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.33743016759776534,\n\ \ \"acc_stderr\": 0.01581390128391305,\n \"acc_norm\": 0.33743016759776534,\n\ \ \"acc_norm_stderr\": 0.01581390128391305\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.738562091503268,\n \"acc_stderr\": 0.025160998214292456,\n\ \ \"acc_norm\": 0.738562091503268,\n \"acc_norm_stderr\": 0.025160998214292456\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6913183279742765,\n\ \ \"acc_stderr\": 0.026236965881153262,\n \"acc_norm\": 0.6913183279742765,\n\ \ \"acc_norm_stderr\": 0.026236965881153262\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7160493827160493,\n \"acc_stderr\": 0.025089478523765134,\n\ \ \"acc_norm\": 0.7160493827160493,\n \"acc_norm_stderr\": 0.025089478523765134\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.46808510638297873,\n \"acc_stderr\": 0.029766675075873866,\n \ \ \"acc_norm\": 0.46808510638297873,\n \"acc_norm_stderr\": 0.029766675075873866\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4335071707953064,\n\ \ \"acc_stderr\": 0.012656810383983964,\n \"acc_norm\": 0.4335071707953064,\n\ \ \"acc_norm_stderr\": 0.012656810383983964\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6654411764705882,\n \"acc_stderr\": 0.028661996202335303,\n\ \ \"acc_norm\": 0.6654411764705882,\n \"acc_norm_stderr\": 0.028661996202335303\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6486928104575164,\n \"acc_stderr\": 0.01931267606578656,\n \ \ \"acc_norm\": 0.6486928104575164,\n \"acc_norm_stderr\": 0.01931267606578656\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6454545454545455,\n\ \ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\ \ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7142857142857143,\n \"acc_stderr\": 0.0289205832206756,\n\ \ \"acc_norm\": 0.7142857142857143,\n \"acc_norm_stderr\": 0.0289205832206756\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8507462686567164,\n\ \ \"acc_stderr\": 0.025196929874827072,\n \"acc_norm\": 0.8507462686567164,\n\ \ \"acc_norm_stderr\": 0.025196929874827072\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ \ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.28518971848225216,\n\ \ \"mc1_stderr\": 0.015805827874454892,\n \"mc2\": 0.423359772241798,\n\ \ \"mc2_stderr\": 0.014387833736527744\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7837411207576953,\n \"acc_stderr\": 0.011570614861409347\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3206974981046247,\n \ \ \"acc_stderr\": 0.012856468433722302\n }\n}\n```" repo_url: https://huggingface.co/sarahlintang/mistral-indo-7b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|arc:challenge|25_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-03T21-47-22.078031.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|gsm8k|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hellaswag|10_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-03T21-47-22.078031.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-management|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-03T21-47-22.078031.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|truthfulqa:mc|0_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-03T21-47-22.078031.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_03T21_47_22.078031 path: - '**/details_harness|winogrande|5_2024-02-03T21-47-22.078031.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-03T21-47-22.078031.parquet' - config_name: results data_files: - split: 2024_02_03T21_47_22.078031 path: - results_2024-02-03T21-47-22.078031.parquet - split: latest path: - results_2024-02-03T21-47-22.078031.parquet --- # Dataset Card for Evaluation run of sarahlintang/mistral-indo-7b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [sarahlintang/mistral-indo-7b](https://huggingface.co/sarahlintang/mistral-indo-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_sarahlintang__mistral-indo-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-03T21:47:22.078031](https://huggingface.co/datasets/open-llm-leaderboard/details_sarahlintang__mistral-indo-7b/blob/main/results_2024-02-03T21-47-22.078031.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.6261916134620902, "acc_stderr": 0.032466151879964746, "acc_norm": 0.6326766330349893, "acc_norm_stderr": 0.033132950603814465, "mc1": 0.28518971848225216, "mc1_stderr": 0.015805827874454892, "mc2": 0.423359772241798, "mc2_stderr": 0.014387833736527744 }, "harness|arc:challenge|25": { "acc": 0.5725255972696246, "acc_stderr": 0.014456862944650647, "acc_norm": 0.6109215017064846, "acc_norm_stderr": 0.014247309976045607 }, "harness|hellaswag|10": { "acc": 0.6156144194383589, "acc_stderr": 0.0048545552940175585, "acc_norm": 0.8118900617406891, "acc_norm_stderr": 0.0039000125049579717 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6447368421052632, "acc_stderr": 0.038947344870133176, "acc_norm": 0.6447368421052632, "acc_norm_stderr": 0.038947344870133176 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6792452830188679, "acc_stderr": 0.028727502957880267, "acc_norm": 0.6792452830188679, "acc_norm_stderr": 0.028727502957880267 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7291666666666666, "acc_stderr": 0.037161774375660164, "acc_norm": 0.7291666666666666, "acc_norm_stderr": 0.037161774375660164 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6184971098265896, "acc_stderr": 0.03703851193099521, "acc_norm": 0.6184971098265896, "acc_norm_stderr": 0.03703851193099521 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.39215686274509803, "acc_stderr": 0.048580835742663454, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.048580835742663454 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5872340425531914, "acc_stderr": 0.03218471141400351, "acc_norm": 0.5872340425531914, "acc_norm_stderr": 0.03218471141400351 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4649122807017544, "acc_stderr": 0.046920083813689104, "acc_norm": 0.4649122807017544, "acc_norm_stderr": 0.046920083813689104 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5448275862068965, "acc_stderr": 0.04149886942192117, "acc_norm": 0.5448275862068965, "acc_norm_stderr": 0.04149886942192117 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.41798941798941797, "acc_stderr": 0.025402555503260912, "acc_norm": 0.41798941798941797, "acc_norm_stderr": 0.025402555503260912 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.40476190476190477, "acc_stderr": 0.04390259265377562, "acc_norm": 0.40476190476190477, "acc_norm_stderr": 0.04390259265377562 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7419354838709677, "acc_stderr": 0.024892469172462836, "acc_norm": 0.7419354838709677, "acc_norm_stderr": 0.024892469172462836 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4876847290640394, "acc_stderr": 0.035169204442208966, "acc_norm": 0.4876847290640394, "acc_norm_stderr": 0.035169204442208966 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7636363636363637, "acc_stderr": 0.03317505930009182, "acc_norm": 0.7636363636363637, "acc_norm_stderr": 0.03317505930009182 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7777777777777778, "acc_stderr": 0.02962022787479048, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.02962022787479048 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8652849740932642, "acc_stderr": 0.02463978909770944, "acc_norm": 0.8652849740932642, "acc_norm_stderr": 0.02463978909770944 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6384615384615384, "acc_stderr": 0.024359581465396997, "acc_norm": 0.6384615384615384, "acc_norm_stderr": 0.024359581465396997 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34444444444444444, "acc_stderr": 0.028972648884844267, "acc_norm": 0.34444444444444444, "acc_norm_stderr": 0.028972648884844267 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6512605042016807, "acc_stderr": 0.030956636328566548, "acc_norm": 0.6512605042016807, "acc_norm_stderr": 0.030956636328566548 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.2781456953642384, "acc_stderr": 0.03658603262763743, "acc_norm": 0.2781456953642384, "acc_norm_stderr": 0.03658603262763743 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8238532110091743, "acc_stderr": 0.01633288239343138, "acc_norm": 0.8238532110091743, "acc_norm_stderr": 0.01633288239343138 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5, "acc_stderr": 0.034099716973523674, "acc_norm": 0.5, "acc_norm_stderr": 0.034099716973523674 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7843137254901961, "acc_stderr": 0.02886743144984932, "acc_norm": 0.7843137254901961, "acc_norm_stderr": 0.02886743144984932 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.759493670886076, "acc_stderr": 0.027820781981149685, "acc_norm": 0.759493670886076, "acc_norm_stderr": 0.027820781981149685 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057222, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057222 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7938931297709924, "acc_stderr": 0.03547771004159463, "acc_norm": 0.7938931297709924, "acc_norm_stderr": 0.03547771004159463 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8099173553719008, "acc_stderr": 0.03581796951709282, "acc_norm": 0.8099173553719008, "acc_norm_stderr": 0.03581796951709282 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7407407407407407, "acc_stderr": 0.04236511258094633, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.04236511258094633 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7484662576687117, "acc_stderr": 0.034089978868575295, "acc_norm": 0.7484662576687117, "acc_norm_stderr": 0.034089978868575295 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5089285714285714, "acc_stderr": 0.04745033255489123, "acc_norm": 0.5089285714285714, "acc_norm_stderr": 0.04745033255489123 }, "harness|hendrycksTest-management|5": { "acc": 0.8058252427184466, "acc_stderr": 0.03916667762822584, "acc_norm": 0.8058252427184466, "acc_norm_stderr": 0.03916667762822584 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8589743589743589, "acc_stderr": 0.022801382534597528, "acc_norm": 0.8589743589743589, "acc_norm_stderr": 0.022801382534597528 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.73, "acc_stderr": 0.04461960433384739, "acc_norm": 0.73, "acc_norm_stderr": 0.04461960433384739 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8160919540229885, "acc_stderr": 0.013853724170922524, "acc_norm": 0.8160919540229885, "acc_norm_stderr": 0.013853724170922524 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6907514450867052, "acc_stderr": 0.02488314057007176, "acc_norm": 0.6907514450867052, "acc_norm_stderr": 0.02488314057007176 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.33743016759776534, "acc_stderr": 0.01581390128391305, "acc_norm": 0.33743016759776534, "acc_norm_stderr": 0.01581390128391305 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.738562091503268, "acc_stderr": 0.025160998214292456, "acc_norm": 0.738562091503268, "acc_norm_stderr": 0.025160998214292456 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6913183279742765, "acc_stderr": 0.026236965881153262, "acc_norm": 0.6913183279742765, "acc_norm_stderr": 0.026236965881153262 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7160493827160493, "acc_stderr": 0.025089478523765134, "acc_norm": 0.7160493827160493, "acc_norm_stderr": 0.025089478523765134 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.46808510638297873, "acc_stderr": 0.029766675075873866, "acc_norm": 0.46808510638297873, "acc_norm_stderr": 0.029766675075873866 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4335071707953064, "acc_stderr": 0.012656810383983964, "acc_norm": 0.4335071707953064, "acc_norm_stderr": 0.012656810383983964 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6654411764705882, "acc_stderr": 0.028661996202335303, "acc_norm": 0.6654411764705882, "acc_norm_stderr": 0.028661996202335303 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6486928104575164, "acc_stderr": 0.01931267606578656, "acc_norm": 0.6486928104575164, "acc_norm_stderr": 0.01931267606578656 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6454545454545455, "acc_stderr": 0.045820048415054174, "acc_norm": 0.6454545454545455, "acc_norm_stderr": 0.045820048415054174 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7142857142857143, "acc_stderr": 0.0289205832206756, "acc_norm": 0.7142857142857143, "acc_norm_stderr": 0.0289205832206756 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8507462686567164, "acc_stderr": 0.025196929874827072, "acc_norm": 0.8507462686567164, "acc_norm_stderr": 0.025196929874827072 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "harness|hendrycksTest-virology|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8245614035087719, "acc_stderr": 0.029170885500727665, "acc_norm": 0.8245614035087719, "acc_norm_stderr": 0.029170885500727665 }, "harness|truthfulqa:mc|0": { "mc1": 0.28518971848225216, "mc1_stderr": 0.015805827874454892, "mc2": 0.423359772241798, "mc2_stderr": 0.014387833736527744 }, "harness|winogrande|5": { "acc": 0.7837411207576953, "acc_stderr": 0.011570614861409347 }, "harness|gsm8k|5": { "acc": 0.3206974981046247, "acc_stderr": 0.012856468433722302 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
xwjzds/extractive_qa_question_answering_hr
--- language: - en license: apache-2.0 --- # Dataset Card <!-- Provide a quick summary of the dataset. --> HR-Multiwoz is a fully-labeled dataset of 5980 extractive qa spanning 10 HR domains to evaluate LLM Agent. It is the first labeled open-sourced conversation dataset in the HR domain for NLP research. Please refer to [HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent](https://arxiv.org/pdf/2402.01018.pdf) for details about the dataset construction. ### Dataset Description - **Language(s) (NLP):** English - **License:** MIT ### Dataset Sources <!-- Provide the basic links for the dataset. --> - **Repository:** [xwjzds/extractive_qa_question_answering_hr](https://huggingface.co/datasets/xwjzds/extractive_qa_question_answering_hr) - **Paper:** [HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent](https://arxiv.org/pdf/2402.01018.pdf) - **Leaderboard:** [github repo](https://github.com/amazon-science/hr-multiwoz-tod-llm-agent) ### Direct Use <!-- This section describes suitable use cases for the dataset. --> This dataset has been designed to evaluate transfer learning ability for extractive QA algorithms. ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> This dataset is not intended for use in training. ## Dataset Structure ### Data Instances A typical data entry in the dataset consists of answer_context, question, answer. Below is an example from the dataset: ```python question = "What is the main topic or subject of the training you are requesting?" answer = "machine learning" answer_context = "Employee: We're hoping to improve our machine learning research skills. But no special accommodations are needed." ``` ### Data Fields The dataset comprises the following fields: -'question': a string that represents a question -'answer': a string that represents an answer - 'answer_context': a string where the answer is included ## Dataset Creation Please refer to [HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent](https://arxiv.org/pdf/2402.01018.pdf) for details about the dataset construction. #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> Not Amazon #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> None ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> This dataset is in English and contains systhetic problems. ## Citation If you find this work useful in your method, you can cite the paper as below: ``` @inproceedings{xu-etal-2024-hr, title = "{HR}-{M}ulti{WOZ}: A Task Oriented Dialogue ({TOD}) Dataset for {HR} {LLM} Agent", author = "Xu, Weijie and Huang, Zicheng and Hu, Wenxiang and Fang, Xi and Cherukuri, Rajesh and Nayyar, Naumaan and Malandri, Lorenzo and Sengamedu, Srinivasan", editor = "Hruschka, Estevam and Lake, Thom and Otani, Naoki and Mitchell, Tom", booktitle = "Proceedings of the First Workshop on Natural Language Processing for Human Resources (NLP4HR 2024)", month = mar, year = "2024", address = "St. Julian{'}s, Malta", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2024.nlp4hr-1.5", pages = "59--72", abstract = "Recent advancements in Large Language Models (LLMs) have been reshaping Natural Language Processing (NLP) task in several domains. Their use in the field of Human Resources (HR) has still room for expansions and could be beneficial for several time consuming tasks. Examples such as time-off submissions, medical claims filing, and access requests are noteworthy, but they are by no means the sole instances. However the aforementioned developments must grapple with the pivotal challenge of constructing a high-quality training dataset. On one hand, most conversation datasets are solving problems for customers not employees. On the other hand, gathering conversations with HR could raise privacy concerns. To solve it, we introduce HR-Multiwoz, a fully-labeled dataset of 550 conversations spanning 10 HR domains. Our work has the following contributions:(1) It is the first labeled open-sourced conversation dataset in the HR domain for NLP research. (2) It provides a detailed recipe for the data generation procedure along with data analysis and human evaluations. The data generation pipeline is transferrable and can be easily adapted for labeled conversation data generation in other domains. (3) The proposed data-collection pipeline is mostly based on LLMs with minimal human involvement for annotation, which is time and cost-efficient.", } ```
jmamou/augmented-glue-sst2
--- annotations_creators: - machine-generated extended: - original language_creators: - machine-generated language: - en-US license: - unknown multilinguality: - monolingual size_categories: - 100K<n<1M source_datasets: - original task_categories: - text-classification task_ids: - sentiment-classification --- # Dataset Card for Augmented-GLUE-SST2 Automatically augmented data from train split of SST-2 dataset using conditional text generation approach. Code used to generate this file will be soon available at https://github.com/IntelLabs/nlp-architect.
Jiqing/ProtST-BetaLactamase
--- license: unknown ---
efederici/wn_xpt_new
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 4959142030.197477 num_examples: 1520382 download_size: 5157431627 dataset_size: 4959142030.197477 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "wn-xpt" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
BangumiBase/reborntomasterthebladefromherokingtoextraordinarysquire
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Reborn To Master The Blade From Hero-king To Extraordinary Squire This is the image base of bangumi Reborn to Master the Blade From Hero-King to Extraordinary Squire, we detected 38 characters, 1790 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------| | 0 | 12 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 14 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 20 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 7 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | N/A | | 4 | 6 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | N/A | N/A | | 5 | 24 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 9 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 64 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 25 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 49 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 28 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 9 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 56 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 207 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 39 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 40 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 53 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 53 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 45 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 210 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 22 | [Download](20/dataset.zip) | ![preview 1](20/preview_1.png) | ![preview 2](20/preview_2.png) | ![preview 3](20/preview_3.png) | ![preview 4](20/preview_4.png) | ![preview 5](20/preview_5.png) | ![preview 6](20/preview_6.png) | ![preview 7](20/preview_7.png) | ![preview 8](20/preview_8.png) | | 21 | 26 | [Download](21/dataset.zip) | ![preview 1](21/preview_1.png) | ![preview 2](21/preview_2.png) | ![preview 3](21/preview_3.png) | ![preview 4](21/preview_4.png) | ![preview 5](21/preview_5.png) | ![preview 6](21/preview_6.png) | ![preview 7](21/preview_7.png) | ![preview 8](21/preview_8.png) | | 22 | 14 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 34 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | ![preview 7](23/preview_7.png) | ![preview 8](23/preview_8.png) | | 24 | 7 | [Download](24/dataset.zip) | ![preview 1](24/preview_1.png) | ![preview 2](24/preview_2.png) | ![preview 3](24/preview_3.png) | ![preview 4](24/preview_4.png) | ![preview 5](24/preview_5.png) | ![preview 6](24/preview_6.png) | ![preview 7](24/preview_7.png) | N/A | | 25 | 28 | [Download](25/dataset.zip) | ![preview 1](25/preview_1.png) | ![preview 2](25/preview_2.png) | ![preview 3](25/preview_3.png) | ![preview 4](25/preview_4.png) | ![preview 5](25/preview_5.png) | ![preview 6](25/preview_6.png) | ![preview 7](25/preview_7.png) | ![preview 8](25/preview_8.png) | | 26 | 63 | [Download](26/dataset.zip) | ![preview 1](26/preview_1.png) | ![preview 2](26/preview_2.png) | ![preview 3](26/preview_3.png) | ![preview 4](26/preview_4.png) | ![preview 5](26/preview_5.png) | ![preview 6](26/preview_6.png) | ![preview 7](26/preview_7.png) | ![preview 8](26/preview_8.png) | | 27 | 148 | [Download](27/dataset.zip) | ![preview 1](27/preview_1.png) | ![preview 2](27/preview_2.png) | ![preview 3](27/preview_3.png) | ![preview 4](27/preview_4.png) | ![preview 5](27/preview_5.png) | ![preview 6](27/preview_6.png) | ![preview 7](27/preview_7.png) | ![preview 8](27/preview_8.png) | | 28 | 6 | [Download](28/dataset.zip) | ![preview 1](28/preview_1.png) | ![preview 2](28/preview_2.png) | ![preview 3](28/preview_3.png) | ![preview 4](28/preview_4.png) | ![preview 5](28/preview_5.png) | ![preview 6](28/preview_6.png) | N/A | N/A | | 29 | 67 | [Download](29/dataset.zip) | ![preview 1](29/preview_1.png) | ![preview 2](29/preview_2.png) | ![preview 3](29/preview_3.png) | ![preview 4](29/preview_4.png) | ![preview 5](29/preview_5.png) | ![preview 6](29/preview_6.png) | ![preview 7](29/preview_7.png) | ![preview 8](29/preview_8.png) | | 30 | 19 | [Download](30/dataset.zip) | ![preview 1](30/preview_1.png) | ![preview 2](30/preview_2.png) | ![preview 3](30/preview_3.png) | ![preview 4](30/preview_4.png) | ![preview 5](30/preview_5.png) | ![preview 6](30/preview_6.png) | ![preview 7](30/preview_7.png) | ![preview 8](30/preview_8.png) | | 31 | 18 | [Download](31/dataset.zip) | ![preview 1](31/preview_1.png) | ![preview 2](31/preview_2.png) | ![preview 3](31/preview_3.png) | ![preview 4](31/preview_4.png) | ![preview 5](31/preview_5.png) | ![preview 6](31/preview_6.png) | ![preview 7](31/preview_7.png) | ![preview 8](31/preview_8.png) | | 32 | 16 | [Download](32/dataset.zip) | ![preview 1](32/preview_1.png) | ![preview 2](32/preview_2.png) | ![preview 3](32/preview_3.png) | ![preview 4](32/preview_4.png) | ![preview 5](32/preview_5.png) | ![preview 6](32/preview_6.png) | ![preview 7](32/preview_7.png) | ![preview 8](32/preview_8.png) | | 33 | 8 | [Download](33/dataset.zip) | ![preview 1](33/preview_1.png) | ![preview 2](33/preview_2.png) | ![preview 3](33/preview_3.png) | ![preview 4](33/preview_4.png) | ![preview 5](33/preview_5.png) | ![preview 6](33/preview_6.png) | ![preview 7](33/preview_7.png) | ![preview 8](33/preview_8.png) | | 34 | 88 | [Download](34/dataset.zip) | ![preview 1](34/preview_1.png) | ![preview 2](34/preview_2.png) | ![preview 3](34/preview_3.png) | ![preview 4](34/preview_4.png) | ![preview 5](34/preview_5.png) | ![preview 6](34/preview_6.png) | ![preview 7](34/preview_7.png) | ![preview 8](34/preview_8.png) | | 35 | 33 | [Download](35/dataset.zip) | ![preview 1](35/preview_1.png) | ![preview 2](35/preview_2.png) | ![preview 3](35/preview_3.png) | ![preview 4](35/preview_4.png) | ![preview 5](35/preview_5.png) | ![preview 6](35/preview_6.png) | ![preview 7](35/preview_7.png) | ![preview 8](35/preview_8.png) | | 36 | 8 | [Download](36/dataset.zip) | ![preview 1](36/preview_1.png) | ![preview 2](36/preview_2.png) | ![preview 3](36/preview_3.png) | ![preview 4](36/preview_4.png) | ![preview 5](36/preview_5.png) | ![preview 6](36/preview_6.png) | ![preview 7](36/preview_7.png) | ![preview 8](36/preview_8.png) | | noise | 215 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
AdapterOcean/med_alpaca_standardized_cluster_31_std
--- dataset_info: features: - name: message dtype: string - name: message_type dtype: string - name: message_id dtype: int64 - name: conversation_id dtype: int64 - name: cluster dtype: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 20273739 num_examples: 32064 download_size: 10128239 dataset_size: 20273739 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "med_alpaca_standardized_cluster_31_std" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
unlabeledstudiosllc/client-messages
--- license: unknown ---
citclass/citclass_91
--- license: agpl-3.0 ---
open-llm-leaderboard/details_abacusai__bigstral-12b-32k
--- pretty_name: Evaluation run of abacusai/bigstral-12b-32k dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [abacusai/bigstral-12b-32k](https://huggingface.co/abacusai/bigstral-12b-32k)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_abacusai__bigstral-12b-32k\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-09T07:04:14.941026](https://huggingface.co/datasets/open-llm-leaderboard/details_abacusai__bigstral-12b-32k/blob/main/results_2024-04-09T07-04-14.941026.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.5886067247133707,\n\ \ \"acc_stderr\": 0.033453973801537036,\n \"acc_norm\": 0.5950897976915057,\n\ \ \"acc_norm_stderr\": 0.03415396911104142,\n \"mc1\": 0.5165238678090576,\n\ \ \"mc1_stderr\": 0.01749394019005772,\n \"mc2\": 0.6816806117025854,\n\ \ \"mc2_stderr\": 0.015370597773942923\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5614334470989761,\n \"acc_stderr\": 0.014500682618212864,\n\ \ \"acc_norm\": 0.5964163822525598,\n \"acc_norm_stderr\": 0.014337158914268448\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6587333200557658,\n\ \ \"acc_stderr\": 0.004731657228906986,\n \"acc_norm\": 0.8410675164309899,\n\ \ \"acc_norm_stderr\": 0.0036486590414936413\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.042923469599092816,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.042923469599092816\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5851851851851851,\n\ \ \"acc_stderr\": 0.04256193767901408,\n \"acc_norm\": 0.5851851851851851,\n\ \ \"acc_norm_stderr\": 0.04256193767901408\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.625,\n \"acc_stderr\": 0.039397364351956274,\n \ \ \"acc_norm\": 0.625,\n \"acc_norm_stderr\": 0.039397364351956274\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6339622641509434,\n \"acc_stderr\": 0.029647813539365245,\n\ \ \"acc_norm\": 0.6339622641509434,\n \"acc_norm_stderr\": 0.029647813539365245\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6180555555555556,\n\ \ \"acc_stderr\": 0.040629907841466674,\n \"acc_norm\": 0.6180555555555556,\n\ \ \"acc_norm_stderr\": 0.040629907841466674\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.55,\n \"acc_stderr\": 0.049999999999999996,\n \"acc_norm\": 0.55,\n\ \ \"acc_norm_stderr\": 0.049999999999999996\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5722543352601156,\n\ \ \"acc_stderr\": 0.03772446857518027,\n \"acc_norm\": 0.5722543352601156,\n\ \ \"acc_norm_stderr\": 0.03772446857518027\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.3627450980392157,\n \"acc_stderr\": 0.04784060704105653,\n\ \ \"acc_norm\": 0.3627450980392157,\n \"acc_norm_stderr\": 0.04784060704105653\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.64,\n \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n\ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5191489361702127,\n \"acc_stderr\": 0.032662042990646796,\n\ \ \"acc_norm\": 0.5191489361702127,\n \"acc_norm_stderr\": 0.032662042990646796\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.42105263157894735,\n\ \ \"acc_stderr\": 0.046446020912223177,\n \"acc_norm\": 0.42105263157894735,\n\ \ \"acc_norm_stderr\": 0.046446020912223177\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.041618085035015295,\n\ \ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.041618085035015295\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3888888888888889,\n \"acc_stderr\": 0.025107425481137292,\n \"\ acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.025107425481137292\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.35714285714285715,\n\ \ \"acc_stderr\": 0.04285714285714281,\n \"acc_norm\": 0.35714285714285715,\n\ \ \"acc_norm_stderr\": 0.04285714285714281\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.04943110704237102,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.04943110704237102\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6741935483870968,\n\ \ \"acc_stderr\": 0.026662010578567104,\n \"acc_norm\": 0.6741935483870968,\n\ \ \"acc_norm_stderr\": 0.026662010578567104\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.46798029556650245,\n \"acc_stderr\": 0.03510766597959215,\n\ \ \"acc_norm\": 0.46798029556650245,\n \"acc_norm_stderr\": 0.03510766597959215\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252609,\n \"acc_norm\"\ : 0.67,\n \"acc_norm_stderr\": 0.04725815626252609\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.6727272727272727,\n \"acc_stderr\": 0.03663974994391244,\n\ \ \"acc_norm\": 0.6727272727272727,\n \"acc_norm_stderr\": 0.03663974994391244\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7525252525252525,\n \"acc_stderr\": 0.030746300742124488,\n \"\ acc_norm\": 0.7525252525252525,\n \"acc_norm_stderr\": 0.030746300742124488\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8186528497409327,\n \"acc_stderr\": 0.02780703236068609,\n\ \ \"acc_norm\": 0.8186528497409327,\n \"acc_norm_stderr\": 0.02780703236068609\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.541025641025641,\n \"acc_stderr\": 0.025265525491284295,\n \ \ \"acc_norm\": 0.541025641025641,\n \"acc_norm_stderr\": 0.025265525491284295\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253252,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253252\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6134453781512605,\n \"acc_stderr\": 0.031631458075523776,\n\ \ \"acc_norm\": 0.6134453781512605,\n \"acc_norm_stderr\": 0.031631458075523776\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7724770642201835,\n \"acc_stderr\": 0.017974463578776502,\n \"\ acc_norm\": 0.7724770642201835,\n \"acc_norm_stderr\": 0.017974463578776502\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4166666666666667,\n \"acc_stderr\": 0.03362277436608044,\n \"\ acc_norm\": 0.4166666666666667,\n \"acc_norm_stderr\": 0.03362277436608044\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7892156862745098,\n \"acc_stderr\": 0.0286265479124374,\n \"acc_norm\"\ : 0.7892156862745098,\n \"acc_norm_stderr\": 0.0286265479124374\n },\n\ \ \"harness|hendrycksTest-high_school_world_history|5\": {\n \"acc\":\ \ 0.7468354430379747,\n \"acc_stderr\": 0.028304657943035307,\n \"\ acc_norm\": 0.7468354430379747,\n \"acc_norm_stderr\": 0.028304657943035307\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6816143497757847,\n\ \ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\ \ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6335877862595419,\n \"acc_stderr\": 0.04225875451969638,\n\ \ \"acc_norm\": 0.6335877862595419,\n \"acc_norm_stderr\": 0.04225875451969638\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8181818181818182,\n \"acc_stderr\": 0.03520893951097654,\n \"\ acc_norm\": 0.8181818181818182,\n \"acc_norm_stderr\": 0.03520893951097654\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7314814814814815,\n\ \ \"acc_stderr\": 0.042844679680521934,\n \"acc_norm\": 0.7314814814814815,\n\ \ \"acc_norm_stderr\": 0.042844679680521934\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.6932515337423313,\n \"acc_stderr\": 0.03623089915724147,\n\ \ \"acc_norm\": 0.6932515337423313,\n \"acc_norm_stderr\": 0.03623089915724147\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4107142857142857,\n\ \ \"acc_stderr\": 0.04669510663875191,\n \"acc_norm\": 0.4107142857142857,\n\ \ \"acc_norm_stderr\": 0.04669510663875191\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7184466019417476,\n \"acc_stderr\": 0.04453254836326467,\n\ \ \"acc_norm\": 0.7184466019417476,\n \"acc_norm_stderr\": 0.04453254836326467\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8290598290598291,\n\ \ \"acc_stderr\": 0.02466249684520982,\n \"acc_norm\": 0.8290598290598291,\n\ \ \"acc_norm_stderr\": 0.02466249684520982\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.63,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.01567100600933957,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.01567100600933957\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6676300578034682,\n \"acc_stderr\": 0.025361168749688228,\n\ \ \"acc_norm\": 0.6676300578034682,\n \"acc_norm_stderr\": 0.025361168749688228\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4033519553072626,\n\ \ \"acc_stderr\": 0.016407123032195253,\n \"acc_norm\": 0.4033519553072626,\n\ \ \"acc_norm_stderr\": 0.016407123032195253\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6241830065359477,\n \"acc_stderr\": 0.02773283435336394,\n\ \ \"acc_norm\": 0.6241830065359477,\n \"acc_norm_stderr\": 0.02773283435336394\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6784565916398714,\n\ \ \"acc_stderr\": 0.026527724079528872,\n \"acc_norm\": 0.6784565916398714,\n\ \ \"acc_norm_stderr\": 0.026527724079528872\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6851851851851852,\n \"acc_stderr\": 0.025842248700902168,\n\ \ \"acc_norm\": 0.6851851851851852,\n \"acc_norm_stderr\": 0.025842248700902168\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.475177304964539,\n \"acc_stderr\": 0.02979071924382972,\n \ \ \"acc_norm\": 0.475177304964539,\n \"acc_norm_stderr\": 0.02979071924382972\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4589308996088657,\n\ \ \"acc_stderr\": 0.012727084826799802,\n \"acc_norm\": 0.4589308996088657,\n\ \ \"acc_norm_stderr\": 0.012727084826799802\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5735294117647058,\n \"acc_stderr\": 0.03004261583271487,\n\ \ \"acc_norm\": 0.5735294117647058,\n \"acc_norm_stderr\": 0.03004261583271487\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6209150326797386,\n \"acc_stderr\": 0.019627444748412232,\n \ \ \"acc_norm\": 0.6209150326797386,\n \"acc_norm_stderr\": 0.019627444748412232\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6909090909090909,\n\ \ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\ \ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.6816326530612244,\n \"acc_stderr\": 0.029822533793982055,\n\ \ \"acc_norm\": 0.6816326530612244,\n \"acc_norm_stderr\": 0.029822533793982055\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7711442786069652,\n\ \ \"acc_stderr\": 0.029705284056772432,\n \"acc_norm\": 0.7711442786069652,\n\ \ \"acc_norm_stderr\": 0.029705284056772432\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.79,\n \"acc_stderr\": 0.040936018074033256,\n \ \ \"acc_norm\": 0.79,\n \"acc_norm_stderr\": 0.040936018074033256\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.43373493975903615,\n\ \ \"acc_stderr\": 0.03858158940685517,\n \"acc_norm\": 0.43373493975903615,\n\ \ \"acc_norm_stderr\": 0.03858158940685517\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7894736842105263,\n \"acc_stderr\": 0.031267817146631786,\n\ \ \"acc_norm\": 0.7894736842105263,\n \"acc_norm_stderr\": 0.031267817146631786\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5165238678090576,\n\ \ \"mc1_stderr\": 0.01749394019005772,\n \"mc2\": 0.6816806117025854,\n\ \ \"mc2_stderr\": 0.015370597773942923\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7474348855564326,\n \"acc_stderr\": 0.012211148449394105\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.26459438968915844,\n \ \ \"acc_stderr\": 0.012150554001563238\n }\n}\n```" repo_url: https://huggingface.co/abacusai/bigstral-12b-32k leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|arc:challenge|25_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|arc:challenge|25_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-04-09T07-04-14.941026.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|gsm8k|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|gsm8k|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hellaswag|10_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hellaswag|10_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-09T19-28-15.531868.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-09T07-04-14.941026.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-management|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-management|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-virology|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-09T07-04-14.941026.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|truthfulqa:mc|0_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|truthfulqa:mc|0_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-04-09T07-04-14.941026.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_09T19_28_15.531868 path: - '**/details_harness|winogrande|5_2024-03-09T19-28-15.531868.parquet' - split: 2024_04_09T07_04_14.941026 path: - '**/details_harness|winogrande|5_2024-04-09T07-04-14.941026.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-04-09T07-04-14.941026.parquet' - config_name: results data_files: - split: 2024_03_09T19_28_15.531868 path: - results_2024-03-09T19-28-15.531868.parquet - split: 2024_04_09T07_04_14.941026 path: - results_2024-04-09T07-04-14.941026.parquet - split: latest path: - results_2024-04-09T07-04-14.941026.parquet --- # Dataset Card for Evaluation run of abacusai/bigstral-12b-32k <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [abacusai/bigstral-12b-32k](https://huggingface.co/abacusai/bigstral-12b-32k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_abacusai__bigstral-12b-32k", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-09T07:04:14.941026](https://huggingface.co/datasets/open-llm-leaderboard/details_abacusai__bigstral-12b-32k/blob/main/results_2024-04-09T07-04-14.941026.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.5886067247133707, "acc_stderr": 0.033453973801537036, "acc_norm": 0.5950897976915057, "acc_norm_stderr": 0.03415396911104142, "mc1": 0.5165238678090576, "mc1_stderr": 0.01749394019005772, "mc2": 0.6816806117025854, "mc2_stderr": 0.015370597773942923 }, "harness|arc:challenge|25": { "acc": 0.5614334470989761, "acc_stderr": 0.014500682618212864, "acc_norm": 0.5964163822525598, "acc_norm_stderr": 0.014337158914268448 }, "harness|hellaswag|10": { "acc": 0.6587333200557658, "acc_stderr": 0.004731657228906986, "acc_norm": 0.8410675164309899, "acc_norm_stderr": 0.0036486590414936413 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5851851851851851, "acc_stderr": 0.04256193767901408, "acc_norm": 0.5851851851851851, "acc_norm_stderr": 0.04256193767901408 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.625, "acc_stderr": 0.039397364351956274, "acc_norm": 0.625, "acc_norm_stderr": 0.039397364351956274 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6339622641509434, "acc_stderr": 0.029647813539365245, "acc_norm": 0.6339622641509434, "acc_norm_stderr": 0.029647813539365245 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6180555555555556, "acc_stderr": 0.040629907841466674, "acc_norm": 0.6180555555555556, "acc_norm_stderr": 0.040629907841466674 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.38, "acc_stderr": 0.04878317312145633, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145633 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.55, "acc_stderr": 0.049999999999999996, "acc_norm": 0.55, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5722543352601156, "acc_stderr": 0.03772446857518027, "acc_norm": 0.5722543352601156, "acc_norm_stderr": 0.03772446857518027 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.3627450980392157, "acc_stderr": 0.04784060704105653, "acc_norm": 0.3627450980392157, "acc_norm_stderr": 0.04784060704105653 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5191489361702127, "acc_stderr": 0.032662042990646796, "acc_norm": 0.5191489361702127, "acc_norm_stderr": 0.032662042990646796 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.42105263157894735, "acc_stderr": 0.046446020912223177, "acc_norm": 0.42105263157894735, "acc_norm_stderr": 0.046446020912223177 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5241379310344828, "acc_stderr": 0.041618085035015295, "acc_norm": 0.5241379310344828, "acc_norm_stderr": 0.041618085035015295 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3888888888888889, "acc_stderr": 0.025107425481137292, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.025107425481137292 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.35714285714285715, "acc_stderr": 0.04285714285714281, "acc_norm": 0.35714285714285715, "acc_norm_stderr": 0.04285714285714281 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.41, "acc_stderr": 0.04943110704237102, "acc_norm": 0.41, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6741935483870968, "acc_stderr": 0.026662010578567104, "acc_norm": 0.6741935483870968, "acc_norm_stderr": 0.026662010578567104 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.46798029556650245, "acc_stderr": 0.03510766597959215, "acc_norm": 0.46798029556650245, "acc_norm_stderr": 0.03510766597959215 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.67, "acc_stderr": 0.04725815626252609, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252609 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6727272727272727, "acc_stderr": 0.03663974994391244, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.03663974994391244 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7525252525252525, "acc_stderr": 0.030746300742124488, "acc_norm": 0.7525252525252525, "acc_norm_stderr": 0.030746300742124488 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8186528497409327, "acc_stderr": 0.02780703236068609, "acc_norm": 0.8186528497409327, "acc_norm_stderr": 0.02780703236068609 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.541025641025641, "acc_stderr": 0.025265525491284295, "acc_norm": 0.541025641025641, "acc_norm_stderr": 0.025265525491284295 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.337037037037037, "acc_stderr": 0.028820884666253252, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.028820884666253252 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6134453781512605, "acc_stderr": 0.031631458075523776, "acc_norm": 0.6134453781512605, "acc_norm_stderr": 0.031631458075523776 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7724770642201835, "acc_stderr": 0.017974463578776502, "acc_norm": 0.7724770642201835, "acc_norm_stderr": 0.017974463578776502 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4166666666666667, "acc_stderr": 0.03362277436608044, "acc_norm": 0.4166666666666667, "acc_norm_stderr": 0.03362277436608044 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7892156862745098, "acc_stderr": 0.0286265479124374, "acc_norm": 0.7892156862745098, "acc_norm_stderr": 0.0286265479124374 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7468354430379747, "acc_stderr": 0.028304657943035307, "acc_norm": 0.7468354430379747, "acc_norm_stderr": 0.028304657943035307 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6816143497757847, "acc_stderr": 0.03126580522513713, "acc_norm": 0.6816143497757847, "acc_norm_stderr": 0.03126580522513713 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6335877862595419, "acc_stderr": 0.04225875451969638, "acc_norm": 0.6335877862595419, "acc_norm_stderr": 0.04225875451969638 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8181818181818182, "acc_stderr": 0.03520893951097654, "acc_norm": 0.8181818181818182, "acc_norm_stderr": 0.03520893951097654 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7314814814814815, "acc_stderr": 0.042844679680521934, "acc_norm": 0.7314814814814815, "acc_norm_stderr": 0.042844679680521934 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.6932515337423313, "acc_stderr": 0.03623089915724147, "acc_norm": 0.6932515337423313, "acc_norm_stderr": 0.03623089915724147 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4107142857142857, "acc_stderr": 0.04669510663875191, "acc_norm": 0.4107142857142857, "acc_norm_stderr": 0.04669510663875191 }, "harness|hendrycksTest-management|5": { "acc": 0.7184466019417476, "acc_stderr": 0.04453254836326467, "acc_norm": 0.7184466019417476, "acc_norm_stderr": 0.04453254836326467 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8290598290598291, "acc_stderr": 0.02466249684520982, "acc_norm": 0.8290598290598291, "acc_norm_stderr": 0.02466249684520982 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7407407407407407, "acc_stderr": 0.01567100600933957, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.01567100600933957 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6676300578034682, "acc_stderr": 0.025361168749688228, "acc_norm": 0.6676300578034682, "acc_norm_stderr": 0.025361168749688228 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.4033519553072626, "acc_stderr": 0.016407123032195253, "acc_norm": 0.4033519553072626, "acc_norm_stderr": 0.016407123032195253 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6241830065359477, "acc_stderr": 0.02773283435336394, "acc_norm": 0.6241830065359477, "acc_norm_stderr": 0.02773283435336394 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6784565916398714, "acc_stderr": 0.026527724079528872, "acc_norm": 0.6784565916398714, "acc_norm_stderr": 0.026527724079528872 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6851851851851852, "acc_stderr": 0.025842248700902168, "acc_norm": 0.6851851851851852, "acc_norm_stderr": 0.025842248700902168 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.475177304964539, "acc_stderr": 0.02979071924382972, "acc_norm": 0.475177304964539, "acc_norm_stderr": 0.02979071924382972 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4589308996088657, "acc_stderr": 0.012727084826799802, "acc_norm": 0.4589308996088657, "acc_norm_stderr": 0.012727084826799802 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5735294117647058, "acc_stderr": 0.03004261583271487, "acc_norm": 0.5735294117647058, "acc_norm_stderr": 0.03004261583271487 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6209150326797386, "acc_stderr": 0.019627444748412232, "acc_norm": 0.6209150326797386, "acc_norm_stderr": 0.019627444748412232 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6909090909090909, "acc_stderr": 0.044262946482000985, "acc_norm": 0.6909090909090909, "acc_norm_stderr": 0.044262946482000985 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.6816326530612244, "acc_stderr": 0.029822533793982055, "acc_norm": 0.6816326530612244, "acc_norm_stderr": 0.029822533793982055 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7711442786069652, "acc_stderr": 0.029705284056772432, "acc_norm": 0.7711442786069652, "acc_norm_stderr": 0.029705284056772432 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.79, "acc_stderr": 0.040936018074033256, "acc_norm": 0.79, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-virology|5": { "acc": 0.43373493975903615, "acc_stderr": 0.03858158940685517, "acc_norm": 0.43373493975903615, "acc_norm_stderr": 0.03858158940685517 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7894736842105263, "acc_stderr": 0.031267817146631786, "acc_norm": 0.7894736842105263, "acc_norm_stderr": 0.031267817146631786 }, "harness|truthfulqa:mc|0": { "mc1": 0.5165238678090576, "mc1_stderr": 0.01749394019005772, "mc2": 0.6816806117025854, "mc2_stderr": 0.015370597773942923 }, "harness|winogrande|5": { "acc": 0.7474348855564326, "acc_stderr": 0.012211148449394105 }, "harness|gsm8k|5": { "acc": 0.26459438968915844, "acc_stderr": 0.012150554001563238 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
joey234/mmlu-high_school_physics-neg-prepend
--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: negate_openai_prompt struct: - name: content dtype: string - name: role dtype: string - name: neg_question dtype: string - name: fewshot_context dtype: string - name: ori_prompt dtype: string - name: neg_prompt dtype: string - name: fewshot_context_neg dtype: string - name: fewshot_context_ori dtype: string splits: - name: dev num_bytes: 8534 num_examples: 5 - name: test num_bytes: 1413219 num_examples: 151 download_size: 206264 dataset_size: 1421753 configs: - config_name: default data_files: - split: dev path: data/dev-* - split: test path: data/test-* --- # Dataset Card for "mmlu-high_school_physics-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_jsfs11__WestOrcaNeuralMarco-DPO-v2-DARETIES-7B
--- pretty_name: Evaluation run of jsfs11/WestOrcaNeuralMarco-DPO-v2-DARETIES-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jsfs11/WestOrcaNeuralMarco-DPO-v2-DARETIES-7B](https://huggingface.co/jsfs11/WestOrcaNeuralMarco-DPO-v2-DARETIES-7B)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_jsfs11__WestOrcaNeuralMarco-DPO-v2-DARETIES-7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-23T07:53:57.376778](https://huggingface.co/datasets/open-llm-leaderboard/details_jsfs11__WestOrcaNeuralMarco-DPO-v2-DARETIES-7B/blob/main/results_2024-01-23T07-53-57.376778.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.655303418618015,\n\ \ \"acc_stderr\": 0.03206026718388969,\n \"acc_norm\": 0.6549524807930509,\n\ \ \"acc_norm_stderr\": 0.03272590499883366,\n \"mc1\": 0.5165238678090576,\n\ \ \"mc1_stderr\": 0.01749394019005772,\n \"mc2\": 0.6596210038626965,\n\ \ \"mc2_stderr\": 0.015322599620782891\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6945392491467577,\n \"acc_stderr\": 0.013460080478002508,\n\ \ \"acc_norm\": 0.7192832764505119,\n \"acc_norm_stderr\": 0.01313123812697557\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7074287990440151,\n\ \ \"acc_stderr\": 0.0045401340050603214,\n \"acc_norm\": 0.880601473809998,\n\ \ \"acc_norm_stderr\": 0.003235941810943157\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6592592592592592,\n\ \ \"acc_stderr\": 0.04094376269996792,\n \"acc_norm\": 0.6592592592592592,\n\ \ \"acc_norm_stderr\": 0.04094376269996792\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6973684210526315,\n \"acc_stderr\": 0.03738520676119669,\n\ \ \"acc_norm\": 0.6973684210526315,\n \"acc_norm_stderr\": 0.03738520676119669\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.66,\n\ \ \"acc_stderr\": 0.04760952285695238,\n \"acc_norm\": 0.66,\n \ \ \"acc_norm_stderr\": 0.04760952285695238\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.720754716981132,\n \"acc_stderr\": 0.027611163402399715,\n\ \ \"acc_norm\": 0.720754716981132,\n \"acc_norm_stderr\": 0.027611163402399715\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7638888888888888,\n\ \ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ \ \"acc_norm_stderr\": 0.03551446610810826\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\ : {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \ \ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n \ \ },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \"acc\": 0.33,\n\ \ \"acc_stderr\": 0.04725815626252604,\n \"acc_norm\": 0.33,\n \ \ \"acc_norm_stderr\": 0.04725815626252604\n },\n \"harness|hendrycksTest-college_medicine|5\"\ : {\n \"acc\": 0.6878612716763006,\n \"acc_stderr\": 0.03533133389323657,\n\ \ \"acc_norm\": 0.6878612716763006,\n \"acc_norm_stderr\": 0.03533133389323657\n\ \ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.4117647058823529,\n\ \ \"acc_stderr\": 0.048971049527263666,\n \"acc_norm\": 0.4117647058823529,\n\ \ \"acc_norm_stderr\": 0.048971049527263666\n },\n \"harness|hendrycksTest-computer_security|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.04351941398892446\n \ \ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.5914893617021276,\n\ \ \"acc_stderr\": 0.032134180267015755,\n \"acc_norm\": 0.5914893617021276,\n\ \ \"acc_norm_stderr\": 0.032134180267015755\n },\n \"harness|hendrycksTest-econometrics|5\"\ : {\n \"acc\": 0.5175438596491229,\n \"acc_stderr\": 0.04700708033551038,\n\ \ \"acc_norm\": 0.5175438596491229,\n \"acc_norm_stderr\": 0.04700708033551038\n\ \ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\ : 0.5724137931034483,\n \"acc_stderr\": 0.04122737111370332,\n \"\ acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.04122737111370332\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.42857142857142855,\n \"acc_stderr\": 0.025487187147859375,\n \"\ acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.025487187147859375\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4523809523809524,\n\ \ \"acc_stderr\": 0.044518079590553275,\n \"acc_norm\": 0.4523809523809524,\n\ \ \"acc_norm_stderr\": 0.044518079590553275\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7903225806451613,\n\ \ \"acc_stderr\": 0.023157879349083522,\n \"acc_norm\": 0.7903225806451613,\n\ \ \"acc_norm_stderr\": 0.023157879349083522\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5073891625615764,\n \"acc_stderr\": 0.035176035403610105,\n\ \ \"acc_norm\": 0.5073891625615764,\n \"acc_norm_stderr\": 0.035176035403610105\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.032568666616811015,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.032568666616811015\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8131313131313131,\n \"acc_stderr\": 0.027772533334218967,\n \"\ acc_norm\": 0.8131313131313131,\n \"acc_norm_stderr\": 0.027772533334218967\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.917098445595855,\n \"acc_stderr\": 0.01989934131572178,\n\ \ \"acc_norm\": 0.917098445595855,\n \"acc_norm_stderr\": 0.01989934131572178\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6564102564102564,\n \"acc_stderr\": 0.024078696580635477,\n\ \ \"acc_norm\": 0.6564102564102564,\n \"acc_norm_stderr\": 0.024078696580635477\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.36666666666666664,\n \"acc_stderr\": 0.029381620726465066,\n \ \ \"acc_norm\": 0.36666666666666664,\n \"acc_norm_stderr\": 0.029381620726465066\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.680672268907563,\n \"acc_stderr\": 0.0302839955258844,\n \ \ \"acc_norm\": 0.680672268907563,\n \"acc_norm_stderr\": 0.0302839955258844\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8477064220183487,\n \"acc_stderr\": 0.015405084393157074,\n \"\ acc_norm\": 0.8477064220183487,\n \"acc_norm_stderr\": 0.015405084393157074\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.034099716973523674,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.034099716973523674\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ : {\n \"acc\": 0.8480392156862745,\n \"acc_stderr\": 0.025195658428931792,\n\ \ \"acc_norm\": 0.8480392156862745,\n \"acc_norm_stderr\": 0.025195658428931792\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8059071729957806,\n \"acc_stderr\": 0.0257449025322909,\n \ \ \"acc_norm\": 0.8059071729957806,\n \"acc_norm_stderr\": 0.0257449025322909\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.695067264573991,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7862595419847328,\n \"acc_stderr\": 0.0359546161177469,\n\ \ \"acc_norm\": 0.7862595419847328,\n \"acc_norm_stderr\": 0.0359546161177469\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\ acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.04236511258094632,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.04236511258094632\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\ \ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4375,\n\ \ \"acc_stderr\": 0.04708567521880525,\n \"acc_norm\": 0.4375,\n \ \ \"acc_norm_stderr\": 0.04708567521880525\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n\ \ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.020930193185179326,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.020930193185179326\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8263090676883781,\n\ \ \"acc_stderr\": 0.01354741565866226,\n \"acc_norm\": 0.8263090676883781,\n\ \ \"acc_norm_stderr\": 0.01354741565866226\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7398843930635838,\n \"acc_stderr\": 0.023618678310069356,\n\ \ \"acc_norm\": 0.7398843930635838,\n \"acc_norm_stderr\": 0.023618678310069356\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4301675977653631,\n\ \ \"acc_stderr\": 0.016558601636041035,\n \"acc_norm\": 0.4301675977653631,\n\ \ \"acc_norm_stderr\": 0.016558601636041035\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7189542483660131,\n \"acc_stderr\": 0.025738854797818733,\n\ \ \"acc_norm\": 0.7189542483660131,\n \"acc_norm_stderr\": 0.025738854797818733\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.707395498392283,\n\ \ \"acc_stderr\": 0.02583989833487798,\n \"acc_norm\": 0.707395498392283,\n\ \ \"acc_norm_stderr\": 0.02583989833487798\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7685185185185185,\n \"acc_stderr\": 0.023468429832451166,\n\ \ \"acc_norm\": 0.7685185185185185,\n \"acc_norm_stderr\": 0.023468429832451166\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5070921985815603,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.5070921985815603,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4667535853976532,\n\ \ \"acc_stderr\": 0.012741974333897227,\n \"acc_norm\": 0.4667535853976532,\n\ \ \"acc_norm_stderr\": 0.012741974333897227\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6727941176470589,\n \"acc_stderr\": 0.028501452860396553,\n\ \ \"acc_norm\": 0.6727941176470589,\n \"acc_norm_stderr\": 0.028501452860396553\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6650326797385621,\n \"acc_stderr\": 0.019094228167000325,\n \ \ \"acc_norm\": 0.6650326797385621,\n \"acc_norm_stderr\": 0.019094228167000325\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6636363636363637,\n\ \ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\ \ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8507462686567164,\n\ \ \"acc_stderr\": 0.025196929874827044,\n \"acc_norm\": 0.8507462686567164,\n\ \ \"acc_norm_stderr\": 0.025196929874827044\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5602409638554217,\n\ \ \"acc_stderr\": 0.03864139923699122,\n \"acc_norm\": 0.5602409638554217,\n\ \ \"acc_norm_stderr\": 0.03864139923699122\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5165238678090576,\n\ \ \"mc1_stderr\": 0.01749394019005772,\n \"mc2\": 0.6596210038626965,\n\ \ \"mc2_stderr\": 0.015322599620782891\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8279400157853196,\n \"acc_stderr\": 0.010607731615247022\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7012888551933283,\n \ \ \"acc_stderr\": 0.012607137125693635\n }\n}\n```" repo_url: https://huggingface.co/jsfs11/WestOrcaNeuralMarco-DPO-v2-DARETIES-7B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|arc:challenge|25_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-23T07-53-57.376778.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|gsm8k|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hellaswag|10_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-23T07-53-57.376778.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-management|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-23T07-53-57.376778.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|truthfulqa:mc|0_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-23T07-53-57.376778.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_23T07_53_57.376778 path: - '**/details_harness|winogrande|5_2024-01-23T07-53-57.376778.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-23T07-53-57.376778.parquet' - config_name: results data_files: - split: 2024_01_23T07_53_57.376778 path: - results_2024-01-23T07-53-57.376778.parquet - split: latest path: - results_2024-01-23T07-53-57.376778.parquet --- # Dataset Card for Evaluation run of jsfs11/WestOrcaNeuralMarco-DPO-v2-DARETIES-7B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [jsfs11/WestOrcaNeuralMarco-DPO-v2-DARETIES-7B](https://huggingface.co/jsfs11/WestOrcaNeuralMarco-DPO-v2-DARETIES-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_jsfs11__WestOrcaNeuralMarco-DPO-v2-DARETIES-7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-23T07:53:57.376778](https://huggingface.co/datasets/open-llm-leaderboard/details_jsfs11__WestOrcaNeuralMarco-DPO-v2-DARETIES-7B/blob/main/results_2024-01-23T07-53-57.376778.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.655303418618015, "acc_stderr": 0.03206026718388969, "acc_norm": 0.6549524807930509, "acc_norm_stderr": 0.03272590499883366, "mc1": 0.5165238678090576, "mc1_stderr": 0.01749394019005772, "mc2": 0.6596210038626965, "mc2_stderr": 0.015322599620782891 }, "harness|arc:challenge|25": { "acc": 0.6945392491467577, "acc_stderr": 0.013460080478002508, "acc_norm": 0.7192832764505119, "acc_norm_stderr": 0.01313123812697557 }, "harness|hellaswag|10": { "acc": 0.7074287990440151, "acc_stderr": 0.0045401340050603214, "acc_norm": 0.880601473809998, "acc_norm_stderr": 0.003235941810943157 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6592592592592592, "acc_stderr": 0.04094376269996792, "acc_norm": 0.6592592592592592, "acc_norm_stderr": 0.04094376269996792 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6973684210526315, "acc_stderr": 0.03738520676119669, "acc_norm": 0.6973684210526315, "acc_norm_stderr": 0.03738520676119669 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.66, "acc_stderr": 0.04760952285695238, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695238 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.720754716981132, "acc_stderr": 0.027611163402399715, "acc_norm": 0.720754716981132, "acc_norm_stderr": 0.027611163402399715 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7638888888888888, "acc_stderr": 0.03551446610810826, "acc_norm": 0.7638888888888888, "acc_norm_stderr": 0.03551446610810826 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6878612716763006, "acc_stderr": 0.03533133389323657, "acc_norm": 0.6878612716763006, "acc_norm_stderr": 0.03533133389323657 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4117647058823529, "acc_stderr": 0.048971049527263666, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.048971049527263666 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5914893617021276, "acc_stderr": 0.032134180267015755, "acc_norm": 0.5914893617021276, "acc_norm_stderr": 0.032134180267015755 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5175438596491229, "acc_stderr": 0.04700708033551038, "acc_norm": 0.5175438596491229, "acc_norm_stderr": 0.04700708033551038 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5724137931034483, "acc_stderr": 0.04122737111370332, "acc_norm": 0.5724137931034483, "acc_norm_stderr": 0.04122737111370332 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42857142857142855, "acc_stderr": 0.025487187147859375, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.025487187147859375 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4523809523809524, "acc_stderr": 0.044518079590553275, "acc_norm": 0.4523809523809524, "acc_norm_stderr": 0.044518079590553275 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7903225806451613, "acc_stderr": 0.023157879349083522, "acc_norm": 0.7903225806451613, "acc_norm_stderr": 0.023157879349083522 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5073891625615764, "acc_stderr": 0.035176035403610105, "acc_norm": 0.5073891625615764, "acc_norm_stderr": 0.035176035403610105 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7757575757575758, "acc_stderr": 0.032568666616811015, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.032568666616811015 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8131313131313131, "acc_stderr": 0.027772533334218967, "acc_norm": 0.8131313131313131, "acc_norm_stderr": 0.027772533334218967 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.917098445595855, "acc_stderr": 0.01989934131572178, "acc_norm": 0.917098445595855, "acc_norm_stderr": 0.01989934131572178 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6564102564102564, "acc_stderr": 0.024078696580635477, "acc_norm": 0.6564102564102564, "acc_norm_stderr": 0.024078696580635477 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.36666666666666664, "acc_stderr": 0.029381620726465066, "acc_norm": 0.36666666666666664, "acc_norm_stderr": 0.029381620726465066 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.680672268907563, "acc_stderr": 0.0302839955258844, "acc_norm": 0.680672268907563, "acc_norm_stderr": 0.0302839955258844 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8477064220183487, "acc_stderr": 0.015405084393157074, "acc_norm": 0.8477064220183487, "acc_norm_stderr": 0.015405084393157074 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5, "acc_stderr": 0.034099716973523674, "acc_norm": 0.5, "acc_norm_stderr": 0.034099716973523674 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8480392156862745, "acc_stderr": 0.025195658428931792, "acc_norm": 0.8480392156862745, "acc_norm_stderr": 0.025195658428931792 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8059071729957806, "acc_stderr": 0.0257449025322909, "acc_norm": 0.8059071729957806, "acc_norm_stderr": 0.0257449025322909 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.695067264573991, "acc_stderr": 0.030898610882477515, "acc_norm": 0.695067264573991, "acc_norm_stderr": 0.030898610882477515 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7862595419847328, "acc_stderr": 0.0359546161177469, "acc_norm": 0.7862595419847328, "acc_norm_stderr": 0.0359546161177469 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7851239669421488, "acc_stderr": 0.037494924487096966, "acc_norm": 0.7851239669421488, "acc_norm_stderr": 0.037494924487096966 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7407407407407407, "acc_stderr": 0.04236511258094632, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.04236511258094632 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7668711656441718, "acc_stderr": 0.0332201579577674, "acc_norm": 0.7668711656441718, "acc_norm_stderr": 0.0332201579577674 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4375, "acc_stderr": 0.04708567521880525, "acc_norm": 0.4375, "acc_norm_stderr": 0.04708567521880525 }, "harness|hendrycksTest-management|5": { "acc": 0.7475728155339806, "acc_stderr": 0.04301250399690878, "acc_norm": 0.7475728155339806, "acc_norm_stderr": 0.04301250399690878 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8846153846153846, "acc_stderr": 0.020930193185179326, "acc_norm": 0.8846153846153846, "acc_norm_stderr": 0.020930193185179326 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8263090676883781, "acc_stderr": 0.01354741565866226, "acc_norm": 0.8263090676883781, "acc_norm_stderr": 0.01354741565866226 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7398843930635838, "acc_stderr": 0.023618678310069356, "acc_norm": 0.7398843930635838, "acc_norm_stderr": 0.023618678310069356 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.4301675977653631, "acc_stderr": 0.016558601636041035, "acc_norm": 0.4301675977653631, "acc_norm_stderr": 0.016558601636041035 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7189542483660131, "acc_stderr": 0.025738854797818733, "acc_norm": 0.7189542483660131, "acc_norm_stderr": 0.025738854797818733 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.707395498392283, "acc_stderr": 0.02583989833487798, "acc_norm": 0.707395498392283, "acc_norm_stderr": 0.02583989833487798 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7685185185185185, "acc_stderr": 0.023468429832451166, "acc_norm": 0.7685185185185185, "acc_norm_stderr": 0.023468429832451166 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5070921985815603, "acc_stderr": 0.02982449855912901, "acc_norm": 0.5070921985815603, "acc_norm_stderr": 0.02982449855912901 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4667535853976532, "acc_stderr": 0.012741974333897227, "acc_norm": 0.4667535853976532, "acc_norm_stderr": 0.012741974333897227 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6727941176470589, "acc_stderr": 0.028501452860396553, "acc_norm": 0.6727941176470589, "acc_norm_stderr": 0.028501452860396553 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6650326797385621, "acc_stderr": 0.019094228167000325, "acc_norm": 0.6650326797385621, "acc_norm_stderr": 0.019094228167000325 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6636363636363637, "acc_stderr": 0.04525393596302506, "acc_norm": 0.6636363636363637, "acc_norm_stderr": 0.04525393596302506 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8507462686567164, "acc_stderr": 0.025196929874827044, "acc_norm": 0.8507462686567164, "acc_norm_stderr": 0.025196929874827044 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.85, "acc_stderr": 0.0358870281282637, "acc_norm": 0.85, "acc_norm_stderr": 0.0358870281282637 }, "harness|hendrycksTest-virology|5": { "acc": 0.5602409638554217, "acc_stderr": 0.03864139923699122, "acc_norm": 0.5602409638554217, "acc_norm_stderr": 0.03864139923699122 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness|truthfulqa:mc|0": { "mc1": 0.5165238678090576, "mc1_stderr": 0.01749394019005772, "mc2": 0.6596210038626965, "mc2_stderr": 0.015322599620782891 }, "harness|winogrande|5": { "acc": 0.8279400157853196, "acc_stderr": 0.010607731615247022 }, "harness|gsm8k|5": { "acc": 0.7012888551933283, "acc_stderr": 0.012607137125693635 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
NLPC-UOM/English-Tamil-Parallel-Corpus
--- annotations_creators: [] languages: - si licenses: - mit --- # English-Tamil parallel Corpus prepared by the National Languages Processing Center, University of Moratuwa. The data has been cleaned and then aligned. #En-Ta Glossary Line Count : 22477 #En-Ta Corpus Line Count : 8950 #Source: Data extracted from publicly available government resources such as annual reports, procurement reports, circulars and websites. #Processing: Each word/pdf file was converted to text files, and unicode errors were fixed using a custom tool. Then the Tamil and English files were manually sentence-aligned. All the spelling and grammatical errors were manually fixed. #If you use this dataset, kindly cite the following publication: Fernando, A., Ranathunga, S., & Dias, G. (2020). Data Augmentation and Terminology Integration for Domain-Specific Sinhala-English-Tamil Statistical Machine Translation. arXiv preprint arXiv:2011.02821.
tnash6/myFirstDataset
--- license: cc-by-3.0 ---
stjarvie/question_to_sql_with_ddl_test_2
--- dataset_info: features: - name: question dtype: string - name: sql dtype: string - name: schema dtype: string splits: - name: test num_bytes: 2005 num_examples: 10 download_size: 3421 dataset_size: 2005 --- # Dataset Card for "question_to_sql_with_ddl_test_2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
bjornbundgaard/newdatacolab
--- license: unknown ---
open-llm-leaderboard/details_manishiitg__open-aditi-hi-v1
--- pretty_name: Evaluation run of manishiitg/open-aditi-hi-v1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [manishiitg/open-aditi-hi-v1](https://huggingface.co/manishiitg/open-aditi-hi-v1)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_manishiitg__open-aditi-hi-v1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-05T00:54:17.291176](https://huggingface.co/datasets/open-llm-leaderboard/details_manishiitg__open-aditi-hi-v1/blob/main/results_2024-01-05T00-54-17.291176.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.583972416790564,\n\ \ \"acc_stderr\": 0.033496039335568516,\n \"acc_norm\": 0.5889834623305892,\n\ \ \"acc_norm_stderr\": 0.03419061870668813,\n \"mc1\": 0.2802937576499388,\n\ \ \"mc1_stderr\": 0.01572313952460875,\n \"mc2\": 0.42336343098693335,\n\ \ \"mc2_stderr\": 0.014576483672407868\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5563139931740614,\n \"acc_stderr\": 0.01451842182567045,\n\ \ \"acc_norm\": 0.5878839590443686,\n \"acc_norm_stderr\": 0.014383915302225402\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6185022903804023,\n\ \ \"acc_stderr\": 0.004847615216473459,\n \"acc_norm\": 0.8137821151165107,\n\ \ \"acc_norm_stderr\": 0.003884868131822894\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5407407407407407,\n\ \ \"acc_stderr\": 0.04304979692464241,\n \"acc_norm\": 0.5407407407407407,\n\ \ \"acc_norm_stderr\": 0.04304979692464241\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6447368421052632,\n \"acc_stderr\": 0.038947344870133176,\n\ \ \"acc_norm\": 0.6447368421052632,\n \"acc_norm_stderr\": 0.038947344870133176\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.5962264150943396,\n \"acc_stderr\": 0.03019761160019795,\n\ \ \"acc_norm\": 0.5962264150943396,\n \"acc_norm_stderr\": 0.03019761160019795\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6388888888888888,\n\ \ \"acc_stderr\": 0.04016660030451233,\n \"acc_norm\": 0.6388888888888888,\n\ \ \"acc_norm_stderr\": 0.04016660030451233\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.04943110704237102,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.04943110704237102\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.49,\n\ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5606936416184971,\n\ \ \"acc_stderr\": 0.03784271932887468,\n \"acc_norm\": 0.5606936416184971,\n\ \ \"acc_norm_stderr\": 0.03784271932887468\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.04897104952726366,\n\ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.04897104952726366\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.69,\n\ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.4765957446808511,\n \"acc_stderr\": 0.032650194750335815,\n\ \ \"acc_norm\": 0.4765957446808511,\n \"acc_norm_stderr\": 0.032650194750335815\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.40350877192982454,\n\ \ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\ \ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5655172413793104,\n \"acc_stderr\": 0.04130740879555498,\n\ \ \"acc_norm\": 0.5655172413793104,\n \"acc_norm_stderr\": 0.04130740879555498\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3888888888888889,\n \"acc_stderr\": 0.025107425481137282,\n \"\ acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.025107425481137282\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.30952380952380953,\n\ \ \"acc_stderr\": 0.04134913018303316,\n \"acc_norm\": 0.30952380952380953,\n\ \ \"acc_norm_stderr\": 0.04134913018303316\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7225806451612903,\n \"acc_stderr\": 0.025470196835900055,\n \"\ acc_norm\": 0.7225806451612903,\n \"acc_norm_stderr\": 0.025470196835900055\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.4482758620689655,\n \"acc_stderr\": 0.03499113137676744,\n \"\ acc_norm\": 0.4482758620689655,\n \"acc_norm_stderr\": 0.03499113137676744\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.6848484848484848,\n \"acc_stderr\": 0.0362773057502241,\n\ \ \"acc_norm\": 0.6848484848484848,\n \"acc_norm_stderr\": 0.0362773057502241\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7525252525252525,\n \"acc_stderr\": 0.030746300742124495,\n \"\ acc_norm\": 0.7525252525252525,\n \"acc_norm_stderr\": 0.030746300742124495\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8341968911917098,\n \"acc_stderr\": 0.026839845022314415,\n\ \ \"acc_norm\": 0.8341968911917098,\n \"acc_norm_stderr\": 0.026839845022314415\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5641025641025641,\n \"acc_stderr\": 0.025141801511177495,\n\ \ \"acc_norm\": 0.5641025641025641,\n \"acc_norm_stderr\": 0.025141801511177495\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.34814814814814815,\n \"acc_stderr\": 0.029045600290616258,\n \ \ \"acc_norm\": 0.34814814814814815,\n \"acc_norm_stderr\": 0.029045600290616258\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.5714285714285714,\n \"acc_stderr\": 0.032145368597886394,\n\ \ \"acc_norm\": 0.5714285714285714,\n \"acc_norm_stderr\": 0.032145368597886394\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\ acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7357798165137615,\n \"acc_stderr\": 0.018904164171510175,\n \"\ acc_norm\": 0.7357798165137615,\n \"acc_norm_stderr\": 0.018904164171510175\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4444444444444444,\n \"acc_stderr\": 0.03388857118502326,\n \"\ acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.03388857118502326\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7647058823529411,\n \"acc_stderr\": 0.02977177522814563,\n \"\ acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.02977177522814563\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7510548523206751,\n \"acc_stderr\": 0.028146970599422644,\n \ \ \"acc_norm\": 0.7510548523206751,\n \"acc_norm_stderr\": 0.028146970599422644\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6860986547085202,\n\ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.6860986547085202,\n\ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7022900763358778,\n \"acc_stderr\": 0.04010358942462203,\n\ \ \"acc_norm\": 0.7022900763358778,\n \"acc_norm_stderr\": 0.04010358942462203\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7272727272727273,\n \"acc_stderr\": 0.04065578140908705,\n \"\ acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.04065578140908705\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6944444444444444,\n\ \ \"acc_stderr\": 0.044531975073749834,\n \"acc_norm\": 0.6944444444444444,\n\ \ \"acc_norm_stderr\": 0.044531975073749834\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.6871165644171779,\n \"acc_stderr\": 0.03642914578292406,\n\ \ \"acc_norm\": 0.6871165644171779,\n \"acc_norm_stderr\": 0.03642914578292406\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.41964285714285715,\n\ \ \"acc_stderr\": 0.04684099321077106,\n \"acc_norm\": 0.41964285714285715,\n\ \ \"acc_norm_stderr\": 0.04684099321077106\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7281553398058253,\n \"acc_stderr\": 0.044052680241409216,\n\ \ \"acc_norm\": 0.7281553398058253,\n \"acc_norm_stderr\": 0.044052680241409216\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8418803418803419,\n\ \ \"acc_stderr\": 0.02390232554956039,\n \"acc_norm\": 0.8418803418803419,\n\ \ \"acc_norm_stderr\": 0.02390232554956039\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.62,\n \"acc_stderr\": 0.048783173121456316,\n \ \ \"acc_norm\": 0.62,\n \"acc_norm_stderr\": 0.048783173121456316\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7535121328224776,\n\ \ \"acc_stderr\": 0.01541130876968693,\n \"acc_norm\": 0.7535121328224776,\n\ \ \"acc_norm_stderr\": 0.01541130876968693\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.684971098265896,\n \"acc_stderr\": 0.025009313790069716,\n\ \ \"acc_norm\": 0.684971098265896,\n \"acc_norm_stderr\": 0.025009313790069716\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3195530726256983,\n\ \ \"acc_stderr\": 0.01559552029414741,\n \"acc_norm\": 0.3195530726256983,\n\ \ \"acc_norm_stderr\": 0.01559552029414741\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6797385620915033,\n \"acc_stderr\": 0.026716118380156847,\n\ \ \"acc_norm\": 0.6797385620915033,\n \"acc_norm_stderr\": 0.026716118380156847\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6720257234726688,\n\ \ \"acc_stderr\": 0.02666441088693762,\n \"acc_norm\": 0.6720257234726688,\n\ \ \"acc_norm_stderr\": 0.02666441088693762\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6728395061728395,\n \"acc_stderr\": 0.026105673861409828,\n\ \ \"acc_norm\": 0.6728395061728395,\n \"acc_norm_stderr\": 0.026105673861409828\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.45390070921985815,\n \"acc_stderr\": 0.029700453247291484,\n \ \ \"acc_norm\": 0.45390070921985815,\n \"acc_norm_stderr\": 0.029700453247291484\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4361147327249022,\n\ \ \"acc_stderr\": 0.012665568135455326,\n \"acc_norm\": 0.4361147327249022,\n\ \ \"acc_norm_stderr\": 0.012665568135455326\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5477941176470589,\n \"acc_stderr\": 0.030233758551596455,\n\ \ \"acc_norm\": 0.5477941176470589,\n \"acc_norm_stderr\": 0.030233758551596455\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5915032679738562,\n \"acc_stderr\": 0.01988622103750187,\n \ \ \"acc_norm\": 0.5915032679738562,\n \"acc_norm_stderr\": 0.01988622103750187\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6272727272727273,\n\ \ \"acc_stderr\": 0.04631381319425465,\n \"acc_norm\": 0.6272727272727273,\n\ \ \"acc_norm_stderr\": 0.04631381319425465\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.6775510204081633,\n \"acc_stderr\": 0.029923100563683903,\n\ \ \"acc_norm\": 0.6775510204081633,\n \"acc_norm_stderr\": 0.029923100563683903\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.746268656716418,\n\ \ \"acc_stderr\": 0.030769444967296014,\n \"acc_norm\": 0.746268656716418,\n\ \ \"acc_norm_stderr\": 0.030769444967296014\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.83,\n \"acc_stderr\": 0.0377525168068637,\n \ \ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.0377525168068637\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.463855421686747,\n\ \ \"acc_stderr\": 0.03882310850890594,\n \"acc_norm\": 0.463855421686747,\n\ \ \"acc_norm_stderr\": 0.03882310850890594\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7543859649122807,\n \"acc_stderr\": 0.03301405946987249,\n\ \ \"acc_norm\": 0.7543859649122807,\n \"acc_norm_stderr\": 0.03301405946987249\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2802937576499388,\n\ \ \"mc1_stderr\": 0.01572313952460875,\n \"mc2\": 0.42336343098693335,\n\ \ \"mc2_stderr\": 0.014576483672407868\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7647987371744278,\n \"acc_stderr\": 0.011920008163650877\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.33434420015163,\n \ \ \"acc_stderr\": 0.012994634003332764\n }\n}\n```" repo_url: https://huggingface.co/manishiitg/open-aditi-hi-v1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|arc:challenge|25_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-05T00-54-17.291176.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|gsm8k|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hellaswag|10_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-05T00-54-17.291176.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-management|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T00-54-17.291176.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|truthfulqa:mc|0_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-05T00-54-17.291176.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_05T00_54_17.291176 path: - '**/details_harness|winogrande|5_2024-01-05T00-54-17.291176.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-05T00-54-17.291176.parquet' - config_name: results data_files: - split: 2024_01_05T00_54_17.291176 path: - results_2024-01-05T00-54-17.291176.parquet - split: latest path: - results_2024-01-05T00-54-17.291176.parquet --- # Dataset Card for Evaluation run of manishiitg/open-aditi-hi-v1 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [manishiitg/open-aditi-hi-v1](https://huggingface.co/manishiitg/open-aditi-hi-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_manishiitg__open-aditi-hi-v1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-05T00:54:17.291176](https://huggingface.co/datasets/open-llm-leaderboard/details_manishiitg__open-aditi-hi-v1/blob/main/results_2024-01-05T00-54-17.291176.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.583972416790564, "acc_stderr": 0.033496039335568516, "acc_norm": 0.5889834623305892, "acc_norm_stderr": 0.03419061870668813, "mc1": 0.2802937576499388, "mc1_stderr": 0.01572313952460875, "mc2": 0.42336343098693335, "mc2_stderr": 0.014576483672407868 }, "harness|arc:challenge|25": { "acc": 0.5563139931740614, "acc_stderr": 0.01451842182567045, "acc_norm": 0.5878839590443686, "acc_norm_stderr": 0.014383915302225402 }, "harness|hellaswag|10": { "acc": 0.6185022903804023, "acc_stderr": 0.004847615216473459, "acc_norm": 0.8137821151165107, "acc_norm_stderr": 0.003884868131822894 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5407407407407407, "acc_stderr": 0.04304979692464241, "acc_norm": 0.5407407407407407, "acc_norm_stderr": 0.04304979692464241 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6447368421052632, "acc_stderr": 0.038947344870133176, "acc_norm": 0.6447368421052632, "acc_norm_stderr": 0.038947344870133176 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5962264150943396, "acc_stderr": 0.03019761160019795, "acc_norm": 0.5962264150943396, "acc_norm_stderr": 0.03019761160019795 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6388888888888888, "acc_stderr": 0.04016660030451233, "acc_norm": 0.6388888888888888, "acc_norm_stderr": 0.04016660030451233 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.41, "acc_stderr": 0.04943110704237102, "acc_norm": 0.41, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5606936416184971, "acc_stderr": 0.03784271932887468, "acc_norm": 0.5606936416184971, "acc_norm_stderr": 0.03784271932887468 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4117647058823529, "acc_stderr": 0.04897104952726366, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.04897104952726366 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4765957446808511, "acc_stderr": 0.032650194750335815, "acc_norm": 0.4765957446808511, "acc_norm_stderr": 0.032650194750335815 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.40350877192982454, "acc_stderr": 0.046151869625837026, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.046151869625837026 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5655172413793104, "acc_stderr": 0.04130740879555498, "acc_norm": 0.5655172413793104, "acc_norm_stderr": 0.04130740879555498 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3888888888888889, "acc_stderr": 0.025107425481137282, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.025107425481137282 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.30952380952380953, "acc_stderr": 0.04134913018303316, "acc_norm": 0.30952380952380953, "acc_norm_stderr": 0.04134913018303316 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7225806451612903, "acc_stderr": 0.025470196835900055, "acc_norm": 0.7225806451612903, "acc_norm_stderr": 0.025470196835900055 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4482758620689655, "acc_stderr": 0.03499113137676744, "acc_norm": 0.4482758620689655, "acc_norm_stderr": 0.03499113137676744 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6848484848484848, "acc_stderr": 0.0362773057502241, "acc_norm": 0.6848484848484848, "acc_norm_stderr": 0.0362773057502241 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7525252525252525, "acc_stderr": 0.030746300742124495, "acc_norm": 0.7525252525252525, "acc_norm_stderr": 0.030746300742124495 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8341968911917098, "acc_stderr": 0.026839845022314415, "acc_norm": 0.8341968911917098, "acc_norm_stderr": 0.026839845022314415 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5641025641025641, "acc_stderr": 0.025141801511177495, "acc_norm": 0.5641025641025641, "acc_norm_stderr": 0.025141801511177495 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34814814814814815, "acc_stderr": 0.029045600290616258, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.029045600290616258 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5714285714285714, "acc_stderr": 0.032145368597886394, "acc_norm": 0.5714285714285714, "acc_norm_stderr": 0.032145368597886394 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3509933774834437, "acc_stderr": 0.03896981964257375, "acc_norm": 0.3509933774834437, "acc_norm_stderr": 0.03896981964257375 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7357798165137615, "acc_stderr": 0.018904164171510175, "acc_norm": 0.7357798165137615, "acc_norm_stderr": 0.018904164171510175 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4444444444444444, "acc_stderr": 0.03388857118502326, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.03388857118502326 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7647058823529411, "acc_stderr": 0.02977177522814563, "acc_norm": 0.7647058823529411, "acc_norm_stderr": 0.02977177522814563 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7510548523206751, "acc_stderr": 0.028146970599422644, "acc_norm": 0.7510548523206751, "acc_norm_stderr": 0.028146970599422644 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6860986547085202, "acc_stderr": 0.031146796482972465, "acc_norm": 0.6860986547085202, "acc_norm_stderr": 0.031146796482972465 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7022900763358778, "acc_stderr": 0.04010358942462203, "acc_norm": 0.7022900763358778, "acc_norm_stderr": 0.04010358942462203 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7272727272727273, "acc_stderr": 0.04065578140908705, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.04065578140908705 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.6944444444444444, "acc_stderr": 0.044531975073749834, "acc_norm": 0.6944444444444444, "acc_norm_stderr": 0.044531975073749834 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.6871165644171779, "acc_stderr": 0.03642914578292406, "acc_norm": 0.6871165644171779, "acc_norm_stderr": 0.03642914578292406 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.41964285714285715, "acc_stderr": 0.04684099321077106, "acc_norm": 0.41964285714285715, "acc_norm_stderr": 0.04684099321077106 }, "harness|hendrycksTest-management|5": { "acc": 0.7281553398058253, "acc_stderr": 0.044052680241409216, "acc_norm": 0.7281553398058253, "acc_norm_stderr": 0.044052680241409216 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8418803418803419, "acc_stderr": 0.02390232554956039, "acc_norm": 0.8418803418803419, "acc_norm_stderr": 0.02390232554956039 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7535121328224776, "acc_stderr": 0.01541130876968693, "acc_norm": 0.7535121328224776, "acc_norm_stderr": 0.01541130876968693 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.684971098265896, "acc_stderr": 0.025009313790069716, "acc_norm": 0.684971098265896, "acc_norm_stderr": 0.025009313790069716 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.3195530726256983, "acc_stderr": 0.01559552029414741, "acc_norm": 0.3195530726256983, "acc_norm_stderr": 0.01559552029414741 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6797385620915033, "acc_stderr": 0.026716118380156847, "acc_norm": 0.6797385620915033, "acc_norm_stderr": 0.026716118380156847 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6720257234726688, "acc_stderr": 0.02666441088693762, "acc_norm": 0.6720257234726688, "acc_norm_stderr": 0.02666441088693762 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6728395061728395, "acc_stderr": 0.026105673861409828, "acc_norm": 0.6728395061728395, "acc_norm_stderr": 0.026105673861409828 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.45390070921985815, "acc_stderr": 0.029700453247291484, "acc_norm": 0.45390070921985815, "acc_norm_stderr": 0.029700453247291484 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4361147327249022, "acc_stderr": 0.012665568135455326, "acc_norm": 0.4361147327249022, "acc_norm_stderr": 0.012665568135455326 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5477941176470589, "acc_stderr": 0.030233758551596455, "acc_norm": 0.5477941176470589, "acc_norm_stderr": 0.030233758551596455 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5915032679738562, "acc_stderr": 0.01988622103750187, "acc_norm": 0.5915032679738562, "acc_norm_stderr": 0.01988622103750187 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6272727272727273, "acc_stderr": 0.04631381319425465, "acc_norm": 0.6272727272727273, "acc_norm_stderr": 0.04631381319425465 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.6775510204081633, "acc_stderr": 0.029923100563683903, "acc_norm": 0.6775510204081633, "acc_norm_stderr": 0.029923100563683903 }, "harness|hendrycksTest-sociology|5": { "acc": 0.746268656716418, "acc_stderr": 0.030769444967296014, "acc_norm": 0.746268656716418, "acc_norm_stderr": 0.030769444967296014 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.83, "acc_stderr": 0.0377525168068637, "acc_norm": 0.83, "acc_norm_stderr": 0.0377525168068637 }, "harness|hendrycksTest-virology|5": { "acc": 0.463855421686747, "acc_stderr": 0.03882310850890594, "acc_norm": 0.463855421686747, "acc_norm_stderr": 0.03882310850890594 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7543859649122807, "acc_stderr": 0.03301405946987249, "acc_norm": 0.7543859649122807, "acc_norm_stderr": 0.03301405946987249 }, "harness|truthfulqa:mc|0": { "mc1": 0.2802937576499388, "mc1_stderr": 0.01572313952460875, "mc2": 0.42336343098693335, "mc2_stderr": 0.014576483672407868 }, "harness|winogrande|5": { "acc": 0.7647987371744278, "acc_stderr": 0.011920008163650877 }, "harness|gsm8k|5": { "acc": 0.33434420015163, "acc_stderr": 0.012994634003332764 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
btemirov/distill-whisper-fin-jargon
--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: sentence dtype: string splits: - name: train num_bytes: 6999933852.0 num_examples: 43 - name: test num_bytes: 6863369648.0 num_examples: 53 download_size: 12039318337 dataset_size: 13863303500.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
AY027/sample_leg
--- dataset_info: features: - name: file_name dtype: string - name: text dtype: string splits: - name: train num_bytes: 148.4 num_examples: 7 - name: test num_bytes: 63.6 num_examples: 3 download_size: 2524 dataset_size: 212.0 --- # Dataset Card for "sample_leg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
AmelieSchreiber/family_split_protein_binding_sites
--- license: mit task_categories: - token-classification language: - en tags: - protein pretty_name: UniProt Segmented Binding/Active Sites size_categories: - 100K<n<1M --- # UniProt Segmented Binding/Active Sites This is a train/test split of 209,571 protein sequences from UniProt of protein sequences with active sites and binding sites labels. All protein sequences (and corresponding binding site labels) are segmented into chunks of 1000 or less. Segmented sequences are indicated by a `_partN` suffix in the Entry column labels. The split is approximately 85/15 before segmentation. The proteins are sorted by family in decreasing order, with families with more protein sequences appearing earlier. Moreover, the split is such that the families in the train/test split are non-overlapping and the `15%` test dataset is composed of the largest families.
Ara88/MRI_images_brain_tumors
--- license: cc-by-4.0 ---
Firminoleo/alinevoz
--- license: openrail ---
CyberHarem/i_8_kantaicollection
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of i_8 (Kantai Collection) This is the dataset of i_8 (Kantai Collection), containing 500 images and their tags. The core tags of this character are `blonde_hair, glasses, twintails, red-framed_eyewear, breasts, hat, low_twintails, long_hair, large_breasts, semi-rimless_eyewear, blue_eyes, under-rim_eyewear, peaked_cap, ahoge, sailor_hat`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 500 | 436.21 MiB | [Download](https://huggingface.co/datasets/CyberHarem/i_8_kantaicollection/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 500 | 291.14 MiB | [Download](https://huggingface.co/datasets/CyberHarem/i_8_kantaicollection/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 1164 | 625.33 MiB | [Download](https://huggingface.co/datasets/CyberHarem/i_8_kantaicollection/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 500 | 403.38 MiB | [Download](https://huggingface.co/datasets/CyberHarem/i_8_kantaicollection/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1164 | 810.09 MiB | [Download](https://huggingface.co/datasets/CyberHarem/i_8_kantaicollection/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/i_8_kantaicollection', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 12 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1boy, 1girl, hetero, solo_focus, blush, paizuri, penis, one-piece_swimsuit, school_swimsuit, cum, censored, green_eyes, nipples, open_mouth, smile | | 1 | 32 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, one-piece_swimsuit, school_swimsuit, solo, looking_at_viewer, smile, white_thighhighs, name_tag, book, green_eyes, white_background, torpedo | | 2 | 7 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, name_tag, one-piece_swimsuit, school_swimsuit, solo, upper_body, looking_at_viewer, smile, simple_background, twitter_username, white_background | | 3 | 6 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, cleavage, looking_at_viewer, navel, solo, blush, collarbone, cowboy_shot, side-tie_bikini_bottom, simple_background, white_background, white_bikini, hair_between_eyes, twitter_username, cropped_legs, groin, one-hour_drawing_challenge | | 4 | 7 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | blush, lemon_slice, smile, white_dress, white_gloves, 1girl, drinking_glass, fur_trim, looking_at_viewer, solo, capelet, holding_cup, hair_ribbon, open_mouth, simple_background, upper_body | | 5 | 14 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 1boy, hetero, solo_focus, 1girl, blush, nipples, open_mouth, school_swimsuit, thighhighs, sex, vaginal, penis, swimsuit_aside, spread_legs, green_eyes, mosaic_censoring, on_back, sweat, cum_in_pussy, missionary, one-piece_swimsuit_pull, saliva | | 6 | 5 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | alternate_costume, detached_collar, fake_animal_ears, playboy_bunny, rabbit_ears, strapless_leotard, wrist_cuffs, 1girl, blush, looking_at_viewer, rabbit_tail, solo, book, open_mouth, blue_leotard, bowtie, cleavage, covered_navel, fake_tail, fishnet_pantyhose, hair_between_eyes, high_heels, medium_breasts, pink_background, smile, twitter_username, white_leotard, white_thighhighs | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1boy | 1girl | hetero | solo_focus | blush | paizuri | penis | one-piece_swimsuit | school_swimsuit | cum | censored | green_eyes | nipples | open_mouth | smile | solo | looking_at_viewer | white_thighhighs | name_tag | book | white_background | torpedo | upper_body | simple_background | twitter_username | cleavage | navel | collarbone | cowboy_shot | side-tie_bikini_bottom | white_bikini | hair_between_eyes | cropped_legs | groin | one-hour_drawing_challenge | lemon_slice | white_dress | white_gloves | drinking_glass | fur_trim | capelet | holding_cup | hair_ribbon | thighhighs | sex | vaginal | swimsuit_aside | spread_legs | mosaic_censoring | on_back | sweat | cum_in_pussy | missionary | one-piece_swimsuit_pull | saliva | alternate_costume | detached_collar | fake_animal_ears | playboy_bunny | rabbit_ears | strapless_leotard | wrist_cuffs | rabbit_tail | blue_leotard | bowtie | covered_navel | fake_tail | fishnet_pantyhose | high_heels | medium_breasts | pink_background | white_leotard | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------|:--------|:---------|:-------------|:--------|:----------|:--------|:---------------------|:------------------|:------|:-----------|:-------------|:----------|:-------------|:--------|:-------|:--------------------|:-------------------|:-----------|:-------|:-------------------|:----------|:-------------|:--------------------|:-------------------|:-----------|:--------|:-------------|:--------------|:-------------------------|:---------------|:--------------------|:---------------|:--------|:-----------------------------|:--------------|:--------------|:---------------|:-----------------|:-----------|:----------|:--------------|:--------------|:-------------|:------|:----------|:-----------------|:--------------|:-------------------|:----------|:--------|:---------------|:-------------|:--------------------------|:---------|:--------------------|:------------------|:-------------------|:----------------|:--------------|:--------------------|:--------------|:--------------|:---------------|:---------|:----------------|:------------|:--------------------|:-------------|:-----------------|:------------------|:----------------| | 0 | 12 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 32 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | | X | | | | | | X | X | | | X | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 7 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | | X | | | | | | X | X | | | | | | X | X | X | | X | | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 3 | 6 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | | X | | | X | | | | | | | | | | | X | X | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 4 | 7 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | | X | | | X | | | | | | | | | X | X | X | X | | | | | | X | X | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 5 | 14 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | X | X | X | X | X | | X | | X | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | 6 | 5 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | | X | | | X | | | | | | | | | X | X | X | X | X | | X | | | | | X | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
TheAIchemist13/gramvaani_preprocessed_hi_train
--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: train num_bytes: 47173100841.0 num_examples: 37080 download_size: 15250516029 dataset_size: 47173100841.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "gramvaani_preprocessed_hi_train" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Harshvardhan27/Wikicorpus_Fine_Tuned_Mistral_FinalCheckpoint
--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: text dtype: string - name: input_prompt dtype: string - name: output_text dtype: string - name: output_length dtype: int64 - name: output_cleaned dtype: string splits: - name: train num_bytes: 4287294 num_examples: 1000 - name: test num_bytes: 849016 num_examples: 200 download_size: 3056330 dataset_size: 5136310 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
open-llm-leaderboard/details_arlineka__Brunhilde-13b-v3
--- pretty_name: Evaluation run of arlineka/Brunhilde-13b-v3 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [arlineka/Brunhilde-13b-v3](https://huggingface.co/arlineka/Brunhilde-13b-v3)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_arlineka__Brunhilde-13b-v3\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-02T22:36:06.125500](https://huggingface.co/datasets/open-llm-leaderboard/details_arlineka__Brunhilde-13b-v3/blob/main/results_2024-04-02T22-36-06.125500.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.5466857150017056,\n\ \ \"acc_stderr\": 0.03358927853713265,\n \"acc_norm\": 0.5560972322682318,\n\ \ \"acc_norm_stderr\": 0.034442806678616246,\n \"mc1\": 0.3769889840881273,\n\ \ \"mc1_stderr\": 0.016965517578930354,\n \"mc2\": 0.5298508488280006,\n\ \ \"mc2_stderr\": 0.015694066944062498\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5725255972696246,\n \"acc_stderr\": 0.014456862944650649,\n\ \ \"acc_norm\": 0.6015358361774744,\n \"acc_norm_stderr\": 0.014306946052735567\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6501692889862577,\n\ \ \"acc_stderr\": 0.004759416464201141,\n \"acc_norm\": 0.8401712806213901,\n\ \ \"acc_norm_stderr\": 0.0036569821653861826\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621503,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621503\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4888888888888889,\n\ \ \"acc_stderr\": 0.04318275491977976,\n \"acc_norm\": 0.4888888888888889,\n\ \ \"acc_norm_stderr\": 0.04318275491977976\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.5723684210526315,\n \"acc_stderr\": 0.040260970832965634,\n\ \ \"acc_norm\": 0.5723684210526315,\n \"acc_norm_stderr\": 0.040260970832965634\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.54,\n\ \ \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.54,\n \ \ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.5962264150943396,\n \"acc_stderr\": 0.03019761160019795,\n\ \ \"acc_norm\": 0.5962264150943396,\n \"acc_norm_stderr\": 0.03019761160019795\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5972222222222222,\n\ \ \"acc_stderr\": 0.04101405519842426,\n \"acc_norm\": 0.5972222222222222,\n\ \ \"acc_norm_stderr\": 0.04101405519842426\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.41,\n\ \ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5375722543352601,\n\ \ \"acc_stderr\": 0.0380168510452446,\n \"acc_norm\": 0.5375722543352601,\n\ \ \"acc_norm_stderr\": 0.0380168510452446\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.30392156862745096,\n \"acc_stderr\": 0.04576665403207762,\n\ \ \"acc_norm\": 0.30392156862745096,\n \"acc_norm_stderr\": 0.04576665403207762\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.66,\n \"acc_stderr\": 0.04760952285695238,\n \"acc_norm\": 0.66,\n\ \ \"acc_norm_stderr\": 0.04760952285695238\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.46808510638297873,\n \"acc_stderr\": 0.03261936918467382,\n\ \ \"acc_norm\": 0.46808510638297873,\n \"acc_norm_stderr\": 0.03261936918467382\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.35964912280701755,\n\ \ \"acc_stderr\": 0.045144961328736334,\n \"acc_norm\": 0.35964912280701755,\n\ \ \"acc_norm_stderr\": 0.045144961328736334\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5310344827586206,\n \"acc_stderr\": 0.04158632762097828,\n\ \ \"acc_norm\": 0.5310344827586206,\n \"acc_norm_stderr\": 0.04158632762097828\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.30158730158730157,\n \"acc_stderr\": 0.023636975996101813,\n \"\ acc_norm\": 0.30158730158730157,\n \"acc_norm_stderr\": 0.023636975996101813\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.29365079365079366,\n\ \ \"acc_stderr\": 0.04073524322147125,\n \"acc_norm\": 0.29365079365079366,\n\ \ \"acc_norm_stderr\": 0.04073524322147125\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6419354838709678,\n\ \ \"acc_stderr\": 0.027273890594300645,\n \"acc_norm\": 0.6419354838709678,\n\ \ \"acc_norm_stderr\": 0.027273890594300645\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.4187192118226601,\n \"acc_stderr\": 0.034711928605184676,\n\ \ \"acc_norm\": 0.4187192118226601,\n \"acc_norm_stderr\": 0.034711928605184676\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\ : 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.6787878787878788,\n \"acc_stderr\": 0.036462049632538115,\n\ \ \"acc_norm\": 0.6787878787878788,\n \"acc_norm_stderr\": 0.036462049632538115\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7070707070707071,\n \"acc_stderr\": 0.032424979581788166,\n \"\ acc_norm\": 0.7070707070707071,\n \"acc_norm_stderr\": 0.032424979581788166\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.7772020725388601,\n \"acc_stderr\": 0.03003114797764154,\n\ \ \"acc_norm\": 0.7772020725388601,\n \"acc_norm_stderr\": 0.03003114797764154\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5076923076923077,\n \"acc_stderr\": 0.02534800603153477,\n \ \ \"acc_norm\": 0.5076923076923077,\n \"acc_norm_stderr\": 0.02534800603153477\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3,\n \"acc_stderr\": 0.0279404571362284,\n \"acc_norm\":\ \ 0.3,\n \"acc_norm_stderr\": 0.0279404571362284\n },\n \"harness|hendrycksTest-high_school_microeconomics|5\"\ : {\n \"acc\": 0.5588235294117647,\n \"acc_stderr\": 0.032252942323996406,\n\ \ \"acc_norm\": 0.5588235294117647,\n \"acc_norm_stderr\": 0.032252942323996406\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.2847682119205298,\n \"acc_stderr\": 0.03684881521389023,\n \"\ acc_norm\": 0.2847682119205298,\n \"acc_norm_stderr\": 0.03684881521389023\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.728440366972477,\n \"acc_stderr\": 0.01906909836319143,\n \"acc_norm\"\ : 0.728440366972477,\n \"acc_norm_stderr\": 0.01906909836319143\n },\n\ \ \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\": 0.38425925925925924,\n\ \ \"acc_stderr\": 0.03317354514310742,\n \"acc_norm\": 0.38425925925925924,\n\ \ \"acc_norm_stderr\": 0.03317354514310742\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.03039153369274154,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.03039153369274154\n \ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"acc\"\ : 0.7468354430379747,\n \"acc_stderr\": 0.0283046579430353,\n \"acc_norm\"\ : 0.7468354430379747,\n \"acc_norm_stderr\": 0.0283046579430353\n },\n\ \ \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6636771300448431,\n\ \ \"acc_stderr\": 0.031708824268455005,\n \"acc_norm\": 0.6636771300448431,\n\ \ \"acc_norm_stderr\": 0.031708824268455005\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6259541984732825,\n \"acc_stderr\": 0.042438692422305246,\n\ \ \"acc_norm\": 0.6259541984732825,\n \"acc_norm_stderr\": 0.042438692422305246\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794088,\n \"acc_norm\"\ : 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794088\n },\n\ \ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7222222222222222,\n\ \ \"acc_stderr\": 0.043300437496507416,\n \"acc_norm\": 0.7222222222222222,\n\ \ \"acc_norm_stderr\": 0.043300437496507416\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.656441717791411,\n \"acc_stderr\": 0.037311335196738925,\n\ \ \"acc_norm\": 0.656441717791411,\n \"acc_norm_stderr\": 0.037311335196738925\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.38392857142857145,\n\ \ \"acc_stderr\": 0.04616143075028547,\n \"acc_norm\": 0.38392857142857145,\n\ \ \"acc_norm_stderr\": 0.04616143075028547\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.6796116504854369,\n \"acc_stderr\": 0.04620284082280041,\n\ \ \"acc_norm\": 0.6796116504854369,\n \"acc_norm_stderr\": 0.04620284082280041\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8205128205128205,\n\ \ \"acc_stderr\": 0.02514093595033544,\n \"acc_norm\": 0.8205128205128205,\n\ \ \"acc_norm_stderr\": 0.02514093595033544\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.52,\n \"acc_stderr\": 0.05021167315686779,\n \ \ \"acc_norm\": 0.52,\n \"acc_norm_stderr\": 0.05021167315686779\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7471264367816092,\n\ \ \"acc_stderr\": 0.015543377313719683,\n \"acc_norm\": 0.7471264367816092,\n\ \ \"acc_norm_stderr\": 0.015543377313719683\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6242774566473989,\n \"acc_stderr\": 0.026074314851657083,\n\ \ \"acc_norm\": 0.6242774566473989,\n \"acc_norm_stderr\": 0.026074314851657083\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.34413407821229053,\n\ \ \"acc_stderr\": 0.015889221313307094,\n \"acc_norm\": 0.34413407821229053,\n\ \ \"acc_norm_stderr\": 0.015889221313307094\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6209150326797386,\n \"acc_stderr\": 0.027780141207023344,\n\ \ \"acc_norm\": 0.6209150326797386,\n \"acc_norm_stderr\": 0.027780141207023344\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6141479099678456,\n\ \ \"acc_stderr\": 0.027648149599751464,\n \"acc_norm\": 0.6141479099678456,\n\ \ \"acc_norm_stderr\": 0.027648149599751464\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6080246913580247,\n \"acc_stderr\": 0.027163686038271146,\n\ \ \"acc_norm\": 0.6080246913580247,\n \"acc_norm_stderr\": 0.027163686038271146\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.40070921985815605,\n \"acc_stderr\": 0.029233465745573083,\n \ \ \"acc_norm\": 0.40070921985815605,\n \"acc_norm_stderr\": 0.029233465745573083\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.42959582790091266,\n\ \ \"acc_stderr\": 0.012643004623790203,\n \"acc_norm\": 0.42959582790091266,\n\ \ \"acc_norm_stderr\": 0.012643004623790203\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5183823529411765,\n \"acc_stderr\": 0.030352303395351964,\n\ \ \"acc_norm\": 0.5183823529411765,\n \"acc_norm_stderr\": 0.030352303395351964\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5604575163398693,\n \"acc_stderr\": 0.02007942040808792,\n \ \ \"acc_norm\": 0.5604575163398693,\n \"acc_norm_stderr\": 0.02007942040808792\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6,\n\ \ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.6326530612244898,\n \"acc_stderr\": 0.03086214492108756,\n\ \ \"acc_norm\": 0.6326530612244898,\n \"acc_norm_stderr\": 0.03086214492108756\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7263681592039801,\n\ \ \"acc_stderr\": 0.03152439186555401,\n \"acc_norm\": 0.7263681592039801,\n\ \ \"acc_norm_stderr\": 0.03152439186555401\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.83,\n \"acc_stderr\": 0.03775251680686371,\n \ \ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.03775251680686371\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4819277108433735,\n\ \ \"acc_stderr\": 0.038899512528272166,\n \"acc_norm\": 0.4819277108433735,\n\ \ \"acc_norm_stderr\": 0.038899512528272166\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.783625730994152,\n \"acc_stderr\": 0.031581495393387324,\n\ \ \"acc_norm\": 0.783625730994152,\n \"acc_norm_stderr\": 0.031581495393387324\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3769889840881273,\n\ \ \"mc1_stderr\": 0.016965517578930354,\n \"mc2\": 0.5298508488280006,\n\ \ \"mc2_stderr\": 0.015694066944062498\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7426992896606156,\n \"acc_stderr\": 0.012285989618865706\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.014404852160727824,\n \ \ \"acc_stderr\": 0.003282055917136976\n }\n}\n```" repo_url: https://huggingface.co/arlineka/Brunhilde-13b-v3 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|arc:challenge|25_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-04-02T22-36-06.125500.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|gsm8k|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hellaswag|10_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-02T22-36-06.125500.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-management|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-virology|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T22-36-06.125500.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|truthfulqa:mc|0_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-04-02T22-36-06.125500.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_02T22_36_06.125500 path: - '**/details_harness|winogrande|5_2024-04-02T22-36-06.125500.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-04-02T22-36-06.125500.parquet' - config_name: results data_files: - split: 2024_04_02T22_36_06.125500 path: - results_2024-04-02T22-36-06.125500.parquet - split: latest path: - results_2024-04-02T22-36-06.125500.parquet --- # Dataset Card for Evaluation run of arlineka/Brunhilde-13b-v3 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [arlineka/Brunhilde-13b-v3](https://huggingface.co/arlineka/Brunhilde-13b-v3) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_arlineka__Brunhilde-13b-v3", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-02T22:36:06.125500](https://huggingface.co/datasets/open-llm-leaderboard/details_arlineka__Brunhilde-13b-v3/blob/main/results_2024-04-02T22-36-06.125500.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.5466857150017056, "acc_stderr": 0.03358927853713265, "acc_norm": 0.5560972322682318, "acc_norm_stderr": 0.034442806678616246, "mc1": 0.3769889840881273, "mc1_stderr": 0.016965517578930354, "mc2": 0.5298508488280006, "mc2_stderr": 0.015694066944062498 }, "harness|arc:challenge|25": { "acc": 0.5725255972696246, "acc_stderr": 0.014456862944650649, "acc_norm": 0.6015358361774744, "acc_norm_stderr": 0.014306946052735567 }, "harness|hellaswag|10": { "acc": 0.6501692889862577, "acc_stderr": 0.004759416464201141, "acc_norm": 0.8401712806213901, "acc_norm_stderr": 0.0036569821653861826 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.04688261722621503, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621503 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4888888888888889, "acc_stderr": 0.04318275491977976, "acc_norm": 0.4888888888888889, "acc_norm_stderr": 0.04318275491977976 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5723684210526315, "acc_stderr": 0.040260970832965634, "acc_norm": 0.5723684210526315, "acc_norm_stderr": 0.040260970832965634 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5962264150943396, "acc_stderr": 0.03019761160019795, "acc_norm": 0.5962264150943396, "acc_norm_stderr": 0.03019761160019795 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5972222222222222, "acc_stderr": 0.04101405519842426, "acc_norm": 0.5972222222222222, "acc_norm_stderr": 0.04101405519842426 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5375722543352601, "acc_stderr": 0.0380168510452446, "acc_norm": 0.5375722543352601, "acc_norm_stderr": 0.0380168510452446 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.30392156862745096, "acc_stderr": 0.04576665403207762, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.04576665403207762 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.66, "acc_stderr": 0.04760952285695238, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695238 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.46808510638297873, "acc_stderr": 0.03261936918467382, "acc_norm": 0.46808510638297873, "acc_norm_stderr": 0.03261936918467382 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.35964912280701755, "acc_stderr": 0.045144961328736334, "acc_norm": 0.35964912280701755, "acc_norm_stderr": 0.045144961328736334 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5310344827586206, "acc_stderr": 0.04158632762097828, "acc_norm": 0.5310344827586206, "acc_norm_stderr": 0.04158632762097828 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.30158730158730157, "acc_stderr": 0.023636975996101813, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.023636975996101813 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.29365079365079366, "acc_stderr": 0.04073524322147125, "acc_norm": 0.29365079365079366, "acc_norm_stderr": 0.04073524322147125 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6419354838709678, "acc_stderr": 0.027273890594300645, "acc_norm": 0.6419354838709678, "acc_norm_stderr": 0.027273890594300645 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4187192118226601, "acc_stderr": 0.034711928605184676, "acc_norm": 0.4187192118226601, "acc_norm_stderr": 0.034711928605184676 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6787878787878788, "acc_stderr": 0.036462049632538115, "acc_norm": 0.6787878787878788, "acc_norm_stderr": 0.036462049632538115 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7070707070707071, "acc_stderr": 0.032424979581788166, "acc_norm": 0.7070707070707071, "acc_norm_stderr": 0.032424979581788166 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7772020725388601, "acc_stderr": 0.03003114797764154, "acc_norm": 0.7772020725388601, "acc_norm_stderr": 0.03003114797764154 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5076923076923077, "acc_stderr": 0.02534800603153477, "acc_norm": 0.5076923076923077, "acc_norm_stderr": 0.02534800603153477 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3, "acc_stderr": 0.0279404571362284, "acc_norm": 0.3, "acc_norm_stderr": 0.0279404571362284 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5588235294117647, "acc_stderr": 0.032252942323996406, "acc_norm": 0.5588235294117647, "acc_norm_stderr": 0.032252942323996406 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.2847682119205298, "acc_stderr": 0.03684881521389023, "acc_norm": 0.2847682119205298, "acc_norm_stderr": 0.03684881521389023 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.728440366972477, "acc_stderr": 0.01906909836319143, "acc_norm": 0.728440366972477, "acc_norm_stderr": 0.01906909836319143 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.38425925925925924, "acc_stderr": 0.03317354514310742, "acc_norm": 0.38425925925925924, "acc_norm_stderr": 0.03317354514310742 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.75, "acc_stderr": 0.03039153369274154, "acc_norm": 0.75, "acc_norm_stderr": 0.03039153369274154 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7468354430379747, "acc_stderr": 0.0283046579430353, "acc_norm": 0.7468354430379747, "acc_norm_stderr": 0.0283046579430353 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6636771300448431, "acc_stderr": 0.031708824268455005, "acc_norm": 0.6636771300448431, "acc_norm_stderr": 0.031708824268455005 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6259541984732825, "acc_stderr": 0.042438692422305246, "acc_norm": 0.6259541984732825, "acc_norm_stderr": 0.042438692422305246 }, "harness|hendrycksTest-international_law|5": { "acc": 0.768595041322314, "acc_stderr": 0.03849856098794088, "acc_norm": 0.768595041322314, "acc_norm_stderr": 0.03849856098794088 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7222222222222222, "acc_stderr": 0.043300437496507416, "acc_norm": 0.7222222222222222, "acc_norm_stderr": 0.043300437496507416 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.656441717791411, "acc_stderr": 0.037311335196738925, "acc_norm": 0.656441717791411, "acc_norm_stderr": 0.037311335196738925 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.38392857142857145, "acc_stderr": 0.04616143075028547, "acc_norm": 0.38392857142857145, "acc_norm_stderr": 0.04616143075028547 }, "harness|hendrycksTest-management|5": { "acc": 0.6796116504854369, "acc_stderr": 0.04620284082280041, "acc_norm": 0.6796116504854369, "acc_norm_stderr": 0.04620284082280041 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8205128205128205, "acc_stderr": 0.02514093595033544, "acc_norm": 0.8205128205128205, "acc_norm_stderr": 0.02514093595033544 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.52, "acc_stderr": 0.05021167315686779, "acc_norm": 0.52, "acc_norm_stderr": 0.05021167315686779 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7471264367816092, "acc_stderr": 0.015543377313719683, "acc_norm": 0.7471264367816092, "acc_norm_stderr": 0.015543377313719683 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6242774566473989, "acc_stderr": 0.026074314851657083, "acc_norm": 0.6242774566473989, "acc_norm_stderr": 0.026074314851657083 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.34413407821229053, "acc_stderr": 0.015889221313307094, "acc_norm": 0.34413407821229053, "acc_norm_stderr": 0.015889221313307094 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6209150326797386, "acc_stderr": 0.027780141207023344, "acc_norm": 0.6209150326797386, "acc_norm_stderr": 0.027780141207023344 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6141479099678456, "acc_stderr": 0.027648149599751464, "acc_norm": 0.6141479099678456, "acc_norm_stderr": 0.027648149599751464 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6080246913580247, "acc_stderr": 0.027163686038271146, "acc_norm": 0.6080246913580247, "acc_norm_stderr": 0.027163686038271146 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.40070921985815605, "acc_stderr": 0.029233465745573083, "acc_norm": 0.40070921985815605, "acc_norm_stderr": 0.029233465745573083 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.42959582790091266, "acc_stderr": 0.012643004623790203, "acc_norm": 0.42959582790091266, "acc_norm_stderr": 0.012643004623790203 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5183823529411765, "acc_stderr": 0.030352303395351964, "acc_norm": 0.5183823529411765, "acc_norm_stderr": 0.030352303395351964 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5604575163398693, "acc_stderr": 0.02007942040808792, "acc_norm": 0.5604575163398693, "acc_norm_stderr": 0.02007942040808792 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6, "acc_stderr": 0.0469237132203465, "acc_norm": 0.6, "acc_norm_stderr": 0.0469237132203465 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.6326530612244898, "acc_stderr": 0.03086214492108756, "acc_norm": 0.6326530612244898, "acc_norm_stderr": 0.03086214492108756 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7263681592039801, "acc_stderr": 0.03152439186555401, "acc_norm": 0.7263681592039801, "acc_norm_stderr": 0.03152439186555401 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.83, "acc_stderr": 0.03775251680686371, "acc_norm": 0.83, "acc_norm_stderr": 0.03775251680686371 }, "harness|hendrycksTest-virology|5": { "acc": 0.4819277108433735, "acc_stderr": 0.038899512528272166, "acc_norm": 0.4819277108433735, "acc_norm_stderr": 0.038899512528272166 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.783625730994152, "acc_stderr": 0.031581495393387324, "acc_norm": 0.783625730994152, "acc_norm_stderr": 0.031581495393387324 }, "harness|truthfulqa:mc|0": { "mc1": 0.3769889840881273, "mc1_stderr": 0.016965517578930354, "mc2": 0.5298508488280006, "mc2_stderr": 0.015694066944062498 }, "harness|winogrande|5": { "acc": 0.7426992896606156, "acc_stderr": 0.012285989618865706 }, "harness|gsm8k|5": { "acc": 0.014404852160727824, "acc_stderr": 0.003282055917136976 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or 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It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). 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More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
l-lt/LaSOT
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/datasets-cards viewer: false paperswithcode_id: lasot --- # Dataset Card for LaSOT ## Dataset Description - **Homepage:** [LaSOT homepage](http://vision.cs.stonybrook.edu/~lasot/) - **Paper:** [LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking](https://arxiv.org/abs/1809.07845) - **Point of Contact:** [Heng Fan](heng.fan@unt.edu) ### Dataset Summary **La**rge-scale **S**ingle **O**bject **T**racking (**LaSOT**) aims to provide a dedicated platform for training data-hungry deep trackers as well as assessing long-term tracking performance. This repository contains the conference version of LaSOT, published in CVPR-19 ([LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking](https://arxiv.org/abs/1809.07845)). **LaSOT** is featured in: - **Large-scale**: 1,400 sequences with more than 3.5 millions frames - **High-quality**: Manual annotation with careful inspection in each frame - **Category balance**: 70 categories, each containing 20 sequences - **Long-term tracking**: An average video length of around 2,500 frames (i.e., 83 seconds) - **Comprehensive labeling**: Providing both visual and lingual annotation for each sequence For the new subset (15 categories with 150 videos) in [extended journal version](https://arxiv.org/abs/2009.03465) (commonly referred to as LaSOT<sub>ext</sub>), visit this [repo](https://huggingface.co/datasets/l-lt/LaSOT-ext). ## Download You can download the whole dataset via the ```huggingface_hub``` library ([guide](https://huggingface.co/docs/huggingface_hub/guides/download)): ```python from huggingface_hub import snapshot_download snapshot_download(repo_id='l-lt/LaSOT', repo_type='dataset', local_dir='/path/to/download') ``` Alternatively, download the videos of a specific category manually from this [page](https://huggingface.co/datasets/l-lt/LaSOT/tree/main). LaSOT is also distributed through several cloud storage services (currently only OneDrive): * As a single zip file: [OneDrive](https://1drv.ms/u/s!Akt_zO4y_u6DgoQsxl9ixr5Y393qWA?e=7yTwjc) * As one zip file per category: [OneDrive](https://1drv.ms/f/s!Akt_zO4y_u6DgoNSoMJrfnVwveDjhA?e=PBeyuD) or [Baidu Pan](https://pan.baidu.com/s/1xFANiqkBHytE7stMOLUpLQ) ### Setup Unzip all zip files and the paths should be organized as following: ``` ├── airplane │ ├── airplane-1 │ ... ├── basketball ... ├── training_set.txt └── testing_set.txt ``` ## Evaluation Metrics and Toolkit See the [homepage](http://vision.cs.stonybrook.edu/~lasot/results.html) for more information.
ParallelnoMinded/Nest
--- license: apache-2.0 ---
Mohamad-Jaallouk/ConstScene
--- dataset_info: features: - name: pixel_values dtype: image - name: label dtype: image splits: - name: train num_bytes: 495130583.56 num_examples: 2770 - name: validation num_bytes: 61731350.0 num_examples: 352 - name: test num_bytes: 61079974.0 num_examples: 348 download_size: 610073366 dataset_size: 617941907.56 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---
open-llm-leaderboard/details_Eric111__MarcoHermes
--- pretty_name: Evaluation run of Eric111/MarcoHermes dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Eric111/MarcoHermes](https://huggingface.co/Eric111/MarcoHermes) on the [Open\ \ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Eric111__MarcoHermes\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-10T02:58:56.333931](https://huggingface.co/datasets/open-llm-leaderboard/details_Eric111__MarcoHermes/blob/main/results_2024-02-10T02-58-56.333931.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.651179536747465,\n\ \ \"acc_stderr\": 0.032176814246608,\n \"acc_norm\": 0.6518376397883119,\n\ \ \"acc_norm_stderr\": 0.032837688243384115,\n \"mc1\": 0.401468788249694,\n\ \ \"mc1_stderr\": 0.017160273901693657,\n \"mc2\": 0.5845514058616202,\n\ \ \"mc2_stderr\": 0.015149100918970279\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6262798634812287,\n \"acc_stderr\": 0.014137708601759086,\n\ \ \"acc_norm\": 0.6621160409556314,\n \"acc_norm_stderr\": 0.013822047922283514\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6570404301931886,\n\ \ \"acc_stderr\": 0.004737279691036193,\n \"acc_norm\": 0.855008962358096,\n\ \ \"acc_norm_stderr\": 0.0035137222519546867\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5925925925925926,\n\ \ \"acc_stderr\": 0.04244633238353227,\n \"acc_norm\": 0.5925925925925926,\n\ \ \"acc_norm_stderr\": 0.04244633238353227\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.63,\n\ \ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n \ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.02825420034443866,\n\ \ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.02825420034443866\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.03476590104304134\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.53,\n \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\"\ : 0.53,\n \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.653179190751445,\n\ \ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.653179190751445,\n\ \ \"acc_norm_stderr\": 0.036291466701596636\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287534,\n\ \ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287534\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.6,\n \"acc_stderr\": 0.03202563076101735,\n \ \ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.03202563076101735\n },\n\ \ \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5175438596491229,\n\ \ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.5175438596491229,\n\ \ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.041227371113703316,\n\ \ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.041227371113703316\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4312169312169312,\n \"acc_stderr\": 0.02550648169813821,\n \"\ acc_norm\": 0.4312169312169312,\n \"acc_norm_stderr\": 0.02550648169813821\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7870967741935484,\n\ \ \"acc_stderr\": 0.023287665127268542,\n \"acc_norm\": 0.7870967741935484,\n\ \ \"acc_norm_stderr\": 0.023287665127268542\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5073891625615764,\n \"acc_stderr\": 0.035176035403610105,\n\ \ \"acc_norm\": 0.5073891625615764,\n \"acc_norm_stderr\": 0.035176035403610105\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \"acc_norm\"\ : 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7636363636363637,\n \"acc_stderr\": 0.03317505930009182,\n\ \ \"acc_norm\": 0.7636363636363637,\n \"acc_norm_stderr\": 0.03317505930009182\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267045,\n \"\ acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267045\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8963730569948186,\n \"acc_stderr\": 0.02199531196364424,\n\ \ \"acc_norm\": 0.8963730569948186,\n \"acc_norm_stderr\": 0.02199531196364424\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.023991500500313043,\n\ \ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.023991500500313043\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.37777777777777777,\n \"acc_stderr\": 0.029560707392465718,\n \ \ \"acc_norm\": 0.37777777777777777,\n \"acc_norm_stderr\": 0.029560707392465718\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6974789915966386,\n \"acc_stderr\": 0.029837962388291932,\n\ \ \"acc_norm\": 0.6974789915966386,\n \"acc_norm_stderr\": 0.029837962388291932\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\ acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8513761467889909,\n \"acc_stderr\": 0.015251253773660834,\n \"\ acc_norm\": 0.8513761467889909,\n \"acc_norm_stderr\": 0.015251253773660834\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5416666666666666,\n \"acc_stderr\": 0.03398110890294636,\n \"\ acc_norm\": 0.5416666666666666,\n \"acc_norm_stderr\": 0.03398110890294636\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8333333333333334,\n \"acc_stderr\": 0.026156867523931045,\n \"\ acc_norm\": 0.8333333333333334,\n \"acc_norm_stderr\": 0.026156867523931045\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8185654008438819,\n \"acc_stderr\": 0.02508596114457966,\n \ \ \"acc_norm\": 0.8185654008438819,\n \"acc_norm_stderr\": 0.02508596114457966\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.034981493854624734,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.034981493854624734\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\ acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7592592592592593,\n\ \ \"acc_stderr\": 0.04133119440243838,\n \"acc_norm\": 0.7592592592592593,\n\ \ \"acc_norm_stderr\": 0.04133119440243838\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7423312883435583,\n \"acc_stderr\": 0.03436150827846917,\n\ \ \"acc_norm\": 0.7423312883435583,\n \"acc_norm_stderr\": 0.03436150827846917\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.49107142857142855,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.49107142857142855,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7864077669902912,\n \"acc_stderr\": 0.040580420156460344,\n\ \ \"acc_norm\": 0.7864077669902912,\n \"acc_norm_stderr\": 0.040580420156460344\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8504273504273504,\n\ \ \"acc_stderr\": 0.023365051491753715,\n \"acc_norm\": 0.8504273504273504,\n\ \ \"acc_norm_stderr\": 0.023365051491753715\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8339719029374202,\n\ \ \"acc_stderr\": 0.0133064782430663,\n \"acc_norm\": 0.8339719029374202,\n\ \ \"acc_norm_stderr\": 0.0133064782430663\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7341040462427746,\n \"acc_stderr\": 0.023786203255508283,\n\ \ \"acc_norm\": 0.7341040462427746,\n \"acc_norm_stderr\": 0.023786203255508283\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.35195530726256985,\n\ \ \"acc_stderr\": 0.015972668523689074,\n \"acc_norm\": 0.35195530726256985,\n\ \ \"acc_norm_stderr\": 0.015972668523689074\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.738562091503268,\n \"acc_stderr\": 0.025160998214292456,\n\ \ \"acc_norm\": 0.738562091503268,\n \"acc_norm_stderr\": 0.025160998214292456\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7202572347266881,\n\ \ \"acc_stderr\": 0.025494259350694912,\n \"acc_norm\": 0.7202572347266881,\n\ \ \"acc_norm_stderr\": 0.025494259350694912\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.02409347123262133,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.02409347123262133\n \ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.029827499313594685,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.029827499313594685\n },\n \"harness|hendrycksTest-professional_law|5\"\ : {\n \"acc\": 0.4726205997392438,\n \"acc_stderr\": 0.012751075788015055,\n\ \ \"acc_norm\": 0.4726205997392438,\n \"acc_norm_stderr\": 0.012751075788015055\n\ \ },\n \"harness|hendrycksTest-professional_medicine|5\": {\n \"acc\"\ : 0.6875,\n \"acc_stderr\": 0.02815637344037142,\n \"acc_norm\": 0.6875,\n\ \ \"acc_norm_stderr\": 0.02815637344037142\n },\n \"harness|hendrycksTest-professional_psychology|5\"\ : {\n \"acc\": 0.6862745098039216,\n \"acc_stderr\": 0.01877168389352818,\n\ \ \"acc_norm\": 0.6862745098039216,\n \"acc_norm_stderr\": 0.01877168389352818\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.028666857790274648,\n\ \ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.028666857790274648\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8606965174129353,\n\ \ \"acc_stderr\": 0.024484487162913973,\n \"acc_norm\": 0.8606965174129353,\n\ \ \"acc_norm_stderr\": 0.024484487162913973\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.033799766898963086,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.033799766898963086\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5481927710843374,\n\ \ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.5481927710843374,\n\ \ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640044,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640044\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.401468788249694,\n\ \ \"mc1_stderr\": 0.017160273901693657,\n \"mc2\": 0.5845514058616202,\n\ \ \"mc2_stderr\": 0.015149100918970279\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8074191002367798,\n \"acc_stderr\": 0.011082538847491906\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6899166034874905,\n \ \ \"acc_stderr\": 0.01274030571737627\n }\n}\n```" repo_url: https://huggingface.co/Eric111/MarcoHermes leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|arc:challenge|25_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-10T02-58-56.333931.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|gsm8k|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hellaswag|10_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-10T02-58-56.333931.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-management|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T02-58-56.333931.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|truthfulqa:mc|0_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-10T02-58-56.333931.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_10T02_58_56.333931 path: - '**/details_harness|winogrande|5_2024-02-10T02-58-56.333931.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-10T02-58-56.333931.parquet' - config_name: results data_files: - split: 2024_02_10T02_58_56.333931 path: - results_2024-02-10T02-58-56.333931.parquet - split: latest path: - results_2024-02-10T02-58-56.333931.parquet --- # Dataset Card for Evaluation run of Eric111/MarcoHermes <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Eric111/MarcoHermes](https://huggingface.co/Eric111/MarcoHermes) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Eric111__MarcoHermes", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-10T02:58:56.333931](https://huggingface.co/datasets/open-llm-leaderboard/details_Eric111__MarcoHermes/blob/main/results_2024-02-10T02-58-56.333931.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.651179536747465, "acc_stderr": 0.032176814246608, "acc_norm": 0.6518376397883119, "acc_norm_stderr": 0.032837688243384115, "mc1": 0.401468788249694, "mc1_stderr": 0.017160273901693657, "mc2": 0.5845514058616202, "mc2_stderr": 0.015149100918970279 }, "harness|arc:challenge|25": { "acc": 0.6262798634812287, "acc_stderr": 0.014137708601759086, "acc_norm": 0.6621160409556314, "acc_norm_stderr": 0.013822047922283514 }, "harness|hellaswag|10": { "acc": 0.6570404301931886, "acc_stderr": 0.004737279691036193, "acc_norm": 0.855008962358096, "acc_norm_stderr": 0.0035137222519546867 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5925925925925926, "acc_stderr": 0.04244633238353227, "acc_norm": 0.5925925925925926, "acc_norm_stderr": 0.04244633238353227 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6981132075471698, "acc_stderr": 0.02825420034443866, "acc_norm": 0.6981132075471698, "acc_norm_stderr": 0.02825420034443866 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7777777777777778, "acc_stderr": 0.03476590104304134, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.653179190751445, "acc_stderr": 0.036291466701596636, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.036291466701596636 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.43137254901960786, "acc_stderr": 0.04928099597287534, "acc_norm": 0.43137254901960786, "acc_norm_stderr": 0.04928099597287534 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6, "acc_stderr": 0.03202563076101735, "acc_norm": 0.6, "acc_norm_stderr": 0.03202563076101735 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5175438596491229, "acc_stderr": 0.04700708033551038, "acc_norm": 0.5175438596491229, "acc_norm_stderr": 0.04700708033551038 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5724137931034483, "acc_stderr": 0.041227371113703316, "acc_norm": 0.5724137931034483, "acc_norm_stderr": 0.041227371113703316 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4312169312169312, "acc_stderr": 0.02550648169813821, "acc_norm": 0.4312169312169312, "acc_norm_stderr": 0.02550648169813821 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7870967741935484, "acc_stderr": 0.023287665127268542, "acc_norm": 0.7870967741935484, "acc_norm_stderr": 0.023287665127268542 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5073891625615764, "acc_stderr": 0.035176035403610105, "acc_norm": 0.5073891625615764, "acc_norm_stderr": 0.035176035403610105 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.66, "acc_stderr": 0.04760952285695237, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695237 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7636363636363637, "acc_stderr": 0.03317505930009182, "acc_norm": 0.7636363636363637, "acc_norm_stderr": 0.03317505930009182 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7929292929292929, "acc_stderr": 0.028869778460267045, "acc_norm": 0.7929292929292929, "acc_norm_stderr": 0.028869778460267045 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8963730569948186, "acc_stderr": 0.02199531196364424, "acc_norm": 0.8963730569948186, "acc_norm_stderr": 0.02199531196364424 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6615384615384615, "acc_stderr": 0.023991500500313043, "acc_norm": 0.6615384615384615, "acc_norm_stderr": 0.023991500500313043 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.37777777777777777, "acc_stderr": 0.029560707392465718, "acc_norm": 0.37777777777777777, "acc_norm_stderr": 0.029560707392465718 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6974789915966386, "acc_stderr": 0.029837962388291932, "acc_norm": 0.6974789915966386, "acc_norm_stderr": 0.029837962388291932 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3443708609271523, "acc_stderr": 0.038796870240733264, "acc_norm": 0.3443708609271523, "acc_norm_stderr": 0.038796870240733264 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8513761467889909, "acc_stderr": 0.015251253773660834, "acc_norm": 0.8513761467889909, "acc_norm_stderr": 0.015251253773660834 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5416666666666666, "acc_stderr": 0.03398110890294636, "acc_norm": 0.5416666666666666, "acc_norm_stderr": 0.03398110890294636 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8333333333333334, "acc_stderr": 0.026156867523931045, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.026156867523931045 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8185654008438819, "acc_stderr": 0.02508596114457966, "acc_norm": 0.8185654008438819, "acc_norm_stderr": 0.02508596114457966 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8015267175572519, "acc_stderr": 0.034981493854624734, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.034981493854624734 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7851239669421488, "acc_stderr": 0.037494924487096966, "acc_norm": 0.7851239669421488, "acc_norm_stderr": 0.037494924487096966 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7592592592592593, "acc_stderr": 0.04133119440243838, "acc_norm": 0.7592592592592593, "acc_norm_stderr": 0.04133119440243838 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7423312883435583, "acc_stderr": 0.03436150827846917, "acc_norm": 0.7423312883435583, "acc_norm_stderr": 0.03436150827846917 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.49107142857142855, "acc_stderr": 0.04745033255489123, "acc_norm": 0.49107142857142855, "acc_norm_stderr": 0.04745033255489123 }, "harness|hendrycksTest-management|5": { "acc": 0.7864077669902912, "acc_stderr": 0.040580420156460344, "acc_norm": 0.7864077669902912, "acc_norm_stderr": 0.040580420156460344 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8504273504273504, "acc_stderr": 0.023365051491753715, "acc_norm": 0.8504273504273504, "acc_norm_stderr": 0.023365051491753715 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8339719029374202, "acc_stderr": 0.0133064782430663, "acc_norm": 0.8339719029374202, "acc_norm_stderr": 0.0133064782430663 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7341040462427746, "acc_stderr": 0.023786203255508283, "acc_norm": 0.7341040462427746, "acc_norm_stderr": 0.023786203255508283 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.35195530726256985, "acc_stderr": 0.015972668523689074, "acc_norm": 0.35195530726256985, "acc_norm_stderr": 0.015972668523689074 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.738562091503268, "acc_stderr": 0.025160998214292456, "acc_norm": 0.738562091503268, "acc_norm_stderr": 0.025160998214292456 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7202572347266881, "acc_stderr": 0.025494259350694912, "acc_norm": 0.7202572347266881, "acc_norm_stderr": 0.025494259350694912 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.75, "acc_stderr": 0.02409347123262133, "acc_norm": 0.75, "acc_norm_stderr": 0.02409347123262133 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5, "acc_stderr": 0.029827499313594685, "acc_norm": 0.5, "acc_norm_stderr": 0.029827499313594685 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4726205997392438, "acc_stderr": 0.012751075788015055, "acc_norm": 0.4726205997392438, "acc_norm_stderr": 0.012751075788015055 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6875, "acc_stderr": 0.02815637344037142, "acc_norm": 0.6875, "acc_norm_stderr": 0.02815637344037142 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6862745098039216, "acc_stderr": 0.01877168389352818, "acc_norm": 0.6862745098039216, "acc_norm_stderr": 0.01877168389352818 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7224489795918367, "acc_stderr": 0.028666857790274648, "acc_norm": 0.7224489795918367, "acc_norm_stderr": 0.028666857790274648 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8606965174129353, "acc_stderr": 0.024484487162913973, "acc_norm": 0.8606965174129353, "acc_norm_stderr": 0.024484487162913973 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.87, "acc_stderr": 0.033799766898963086, "acc_norm": 0.87, "acc_norm_stderr": 0.033799766898963086 }, "harness|hendrycksTest-virology|5": { "acc": 0.5481927710843374, "acc_stderr": 0.03874371556587953, "acc_norm": 0.5481927710843374, "acc_norm_stderr": 0.03874371556587953 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8187134502923976, "acc_stderr": 0.029547741687640044, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.029547741687640044 }, "harness|truthfulqa:mc|0": { "mc1": 0.401468788249694, "mc1_stderr": 0.017160273901693657, "mc2": 0.5845514058616202, "mc2_stderr": 0.015149100918970279 }, "harness|winogrande|5": { "acc": 0.8074191002367798, "acc_stderr": 0.011082538847491906 }, "harness|gsm8k|5": { "acc": 0.6899166034874905, "acc_stderr": 0.01274030571737627 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
amazon_polarity
--- annotations_creators: - crowdsourced language_creators: - crowdsourced language: - en license: - apache-2.0 multilinguality: - monolingual size_categories: - 1M<n<10M source_datasets: - original task_categories: - text-classification task_ids: - sentiment-classification pretty_name: Amazon Review Polarity dataset_info: config_name: amazon_polarity features: - name: label dtype: class_label: names: '0': negative '1': positive - name: title dtype: string - name: content dtype: string splits: - name: train num_bytes: 1604364432 num_examples: 3600000 - name: test num_bytes: 178176193 num_examples: 400000 download_size: 1145430497 dataset_size: 1782540625 configs: - config_name: amazon_polarity data_files: - split: train path: amazon_polarity/train-* - split: test path: amazon_polarity/test-* default: true train-eval-index: - config: amazon_polarity task: text-classification task_id: binary_classification splits: train_split: train eval_split: test col_mapping: content: text label: target metrics: - type: accuracy name: Accuracy - type: f1 name: F1 macro args: average: macro - type: f1 name: F1 micro args: average: micro - type: f1 name: F1 weighted args: average: weighted - type: precision name: Precision macro args: average: macro - type: precision name: Precision micro args: average: micro - type: precision name: Precision weighted args: average: weighted - type: recall name: Recall macro args: average: macro - type: recall name: Recall micro args: average: micro - type: recall name: Recall weighted args: average: weighted --- # Dataset Card for Amazon Review Polarity ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** https://registry.opendata.aws/ - **Repository:** https://github.com/zhangxiangxiao/Crepe - **Paper:** https://arxiv.org/abs/1509.01626 - **Leaderboard:** [Needs More Information] - **Point of Contact:** [Xiang Zhang](mailto:xiang.zhang@nyu.edu) ### Dataset Summary The Amazon reviews dataset consists of reviews from amazon. The data span a period of 18 years, including ~35 million reviews up to March 2013. Reviews include product and user information, ratings, and a plaintext review. ### Supported Tasks and Leaderboards - `text-classification`, `sentiment-classification`: The dataset is mainly used for text classification: given the content and the title, predict the correct star rating. ### Languages Mainly English. ## Dataset Structure ### Data Instances A typical data point, comprises of a title, a content and the corresponding label. An example from the AmazonPolarity test set looks as follows: ``` { 'title':'Great CD', 'content':"My lovely Pat has one of the GREAT voices of her generation. I have listened to this CD for YEARS and I still LOVE IT. When I'm in a good mood it makes me feel better. A bad mood just evaporates like sugar in the rain. This CD just oozes LIFE. Vocals are jusat STUUNNING and lyrics just kill. One of life's hidden gems. This is a desert isle CD in my book. Why she never made it big is just beyond me. Everytime I play this, no matter black, white, young, old, male, female EVERYBODY says one thing ""Who was that singing ?""", 'label':1 } ``` ### Data Fields - 'title': a string containing the title of the review - escaped using double quotes (") and any internal double quote is escaped by 2 double quotes (""). New lines are escaped by a backslash followed with an "n" character, that is "\n". - 'content': a string containing the body of the document - escaped using double quotes (") and any internal double quote is escaped by 2 double quotes (""). New lines are escaped by a backslash followed with an "n" character, that is "\n". - 'label': either 1 (positive) or 0 (negative) rating. ### Data Splits The Amazon reviews polarity dataset is constructed by taking review score 1 and 2 as negative, and 4 and 5 as positive. Samples of score 3 is ignored. Each class has 1,800,000 training samples and 200,000 testing samples. ## Dataset Creation ### Curation Rationale The Amazon reviews polarity dataset is constructed by Xiang Zhang (xiang.zhang@nyu.edu). It is used as a text classification benchmark in the following paper: Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015). ### Source Data #### Initial Data Collection and Normalization [Needs More Information] #### Who are the source language producers? [Needs More Information] ### Annotations #### Annotation process [Needs More Information] #### Who are the annotators? [Needs More Information] ### Personal and Sensitive Information [Needs More Information] ## Considerations for Using the Data ### Social Impact of Dataset [Needs More Information] ### Discussion of Biases [Needs More Information] ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators [Needs More Information] ### Licensing Information Apache License 2.0 ### Citation Information McAuley, Julian, and Jure Leskovec. "Hidden factors and hidden topics: understanding rating dimensions with review text." In Proceedings of the 7th ACM conference on Recommender systems, pp. 165-172. 2013. Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015) ### Contributions Thanks to [@hfawaz](https://github.com/hfawaz) for adding this dataset.
CyberHarem/chloe_von_einzbern_fgo
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of chloe_von_einzbern/クロエ・フォン・アインツベルン/克洛伊·冯·爱因兹贝伦 (Fate/Grand Order) This is the dataset of chloe_von_einzbern/クロエ・フォン・アインツベルン/克洛伊·冯·爱因兹贝伦 (Fate/Grand Order), containing 500 images and their tags. The core tags of this character are `dark_skin, long_hair, dark-skinned_female, pink_hair, breasts, orange_eyes, small_breasts, hair_between_eyes, hair_ornament, sidelocks`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:------------|:------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 500 | 567.33 MiB | [Download](https://huggingface.co/datasets/CyberHarem/chloe_von_einzbern_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 500 | 510.18 MiB | [Download](https://huggingface.co/datasets/CyberHarem/chloe_von_einzbern_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1177 | 1003.09 MiB | [Download](https://huggingface.co/datasets/CyberHarem/chloe_von_einzbern_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/chloe_von_einzbern_fgo', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 12 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, solo, looking_at_viewer, collarbone, simple_background, white_background, bare_shoulders, blush, upper_body, yellow_eyes, smile, closed_mouth | | 1 | 11 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, dual_wielding, kanshou_&_bakuya_(fate), looking_at_viewer, solo, holding_sword, yellow_eyes, midriff, smile, waist_cape, black_footwear, knee_boots, long_sleeves, navel, bridal_gauntlets, full_body, high_heels, panties, shrug_(clothing), thigh_strap | | 2 | 15 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, solo, blush, looking_at_viewer, navel, smile, waist_cape, black_panties, bridal_gauntlets, stomach_tattoo, long_sleeves, red_cape, shrug_(clothing), yellow_eyes, midriff, white_background, breastplate, half_updo, knee_boots, simple_background, black_footwear, single_hair_bun | | 3 | 6 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, black_jacket, blush, collarbone, looking_at_viewer, open_jacket, short_shorts, smile, solo, twintails, bare_shoulders, black_shorts, off_shoulder, simple_background, closed_mouth, midriff, tank_top, white_background, black_camisole, black_footwear, boots, full_body, hair_bobbles, long_sleeves, navel, socks | | 4 | 5 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | 1girl, blush, hairpin, half_updo, looking_at_viewer, single_hair_bun, solo, ass, bare_shoulders, from_behind, looking_back, simple_background, thighs, smile, white_background, bike_shorts, black_shorts, black_sports_bra, butt_crack, closed_mouth, sitting, sweat, tongue_out | | 5 | 8 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 1boy, 1girl, blush, open_mouth, half_updo, hetero, navel, nipples, simple_background, sweat, white_background, collarbone, completely_nude, hairpin, loli, solo_focus, stomach_tattoo, sex_from_behind, single_hair_bun, tongue_out, ass, censored, cum, looking_at_viewer, petite | | 6 | 5 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | 1boy, blush, hetero, navel, nipples, sex, spread_legs, stomach_tattoo, vaginal, 1girl, completely_nude, looking_at_viewer, one_side_up, penis, solo_focus, thighs, collarbone, cum_in_pussy, hair_bobbles, loli, open_mouth, aged_up, alternate_breast_size, bar_censor, girl_on_top, grin, heart-shaped_pupils, huge_breasts, leg_lift, lying, pubic_tattoo, straddling, testicles | | 7 | 6 | ![](samples/7/clu7-sample0.png) | ![](samples/7/clu7-sample1.png) | ![](samples/7/clu7-sample2.png) | ![](samples/7/clu7-sample3.png) | ![](samples/7/clu7-sample4.png) | 1girl, blush, collarbone, looking_at_viewer, navel, simple_background, smile, solo, stomach_tattoo, bare_shoulders, white_background, ass_visible_through_thighs, black_gloves, black_thighhighs, elbow_gloves, armpits, hairpin, micro_bikini, open_mouth, sweat | | 8 | 8 | ![](samples/8/clu8-sample0.png) | ![](samples/8/clu8-sample1.png) | ![](samples/8/clu8-sample2.png) | ![](samples/8/clu8-sample3.png) | ![](samples/8/clu8-sample4.png) | 1girl, blue_jacket, long_sleeves, looking_at_viewer, navel, solo, stomach_tattoo, belt, blush, open_jacket, smile, blue_skirt, choker, earrings, sunglasses, collarbone, eyewear_on_head, id_card, nail_polish, black_nails, simple_background, white_background, bikini, boots, cropped_jacket, hair_flower, midriff, open_mouth, thighs, umbrella | | 9 | 12 | ![](samples/9/clu9-sample0.png) | ![](samples/9/clu9-sample1.png) | ![](samples/9/clu9-sample2.png) | ![](samples/9/clu9-sample3.png) | ![](samples/9/clu9-sample4.png) | blush, looking_at_viewer, 1girl, animal_ear_fluff, bare_shoulders, smile, hair_bow, jingle_bell, paw_gloves, red_bow, black_skirt, collar, fur-trimmed_skirt, open_mouth, cat_ears, navel, ponytail, solo, cat_tail, hair_bell, o-ring, thigh_strap, thighs, stomach_tattoo, belt, black_thighhighs, fang, paw_shoes, simple_background | | 10 | 6 | ![](samples/10/clu10-sample0.png) | ![](samples/10/clu10-sample1.png) | ![](samples/10/clu10-sample2.png) | ![](samples/10/clu10-sample3.png) | ![](samples/10/clu10-sample4.png) | 1girl, black_leotard, blush, cosplay, covered_navel, elbow_gloves, solo, taimanin_suit, bare_shoulders, censored, covered_nipples, hairpin, highleg_leotard, single_hair_bun, spread_legs, thighhighs, black_gloves, half_updo, open_mouth, sweat, thigh_boots, black_footwear, fishnets, stomach_tattoo, tentacle_sex | | 11 | 24 | ![](samples/11/clu11-sample0.png) | ![](samples/11/clu11-sample1.png) | ![](samples/11/clu11-sample2.png) | ![](samples/11/clu11-sample3.png) | ![](samples/11/clu11-sample4.png) | looking_at_viewer, 1girl, one_side_up, homurahara_academy_school_uniform, solo, white_shirt, blush, neck_ribbon, puffy_short_sleeves, smile, black_skirt, pleated_skirt, white_sailor_collar, simple_background, white_background, closed_mouth, open_mouth, red_ribbon, collared_shirt | | 12 | 8 | ![](samples/12/clu12-sample0.png) | ![](samples/12/clu12-sample1.png) | ![](samples/12/clu12-sample2.png) | ![](samples/12/clu12-sample3.png) | ![](samples/12/clu12-sample4.png) | 1girl, blush, looking_at_viewer, smile, solo, chalkboard, classroom, indoors, school_desk, white_shirt, black_panties, crop_top, navel, sailor_collar, long_sleeves, neckerchief, serafuku, black_skirt, closed_mouth, looking_back, pantyhose, pleated_skirt, ponytail, thick_thighs | | 13 | 8 | ![](samples/13/clu13-sample0.png) | ![](samples/13/clu13-sample1.png) | ![](samples/13/clu13-sample2.png) | ![](samples/13/clu13-sample3.png) | ![](samples/13/clu13-sample4.png) | bare_shoulders, fake_animal_ears, looking_at_viewer, playboy_bunny, rabbit_ears, 1girl, blush, smile, highleg_leotard, red_leotard, solo, thighs, wrist_cuffs, ass, detached_collar, looking_back, simple_background, strapless_leotard, 2girls, bowtie, covered_navel, fishnet_pantyhose, rabbit_tail, thighhighs, tongue_out, white_background, yellow_eyes | | 14 | 8 | ![](samples/14/clu14-sample0.png) | ![](samples/14/clu14-sample1.png) | ![](samples/14/clu14-sample2.png) | ![](samples/14/clu14-sample3.png) | ![](samples/14/clu14-sample4.png) | blush, obi, 1girl, floral_print, smile, solo, long_sleeves, looking_at_viewer, red_kimono, wide_sleeves, open_mouth, hair_flower, new_year | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | looking_at_viewer | collarbone | simple_background | white_background | bare_shoulders | blush | upper_body | yellow_eyes | smile | closed_mouth | dual_wielding | kanshou_&_bakuya_(fate) | holding_sword | midriff | waist_cape | black_footwear | knee_boots | long_sleeves | navel | bridal_gauntlets | full_body | high_heels | panties | shrug_(clothing) | thigh_strap | black_panties | stomach_tattoo | red_cape | breastplate | half_updo | single_hair_bun | black_jacket | open_jacket | short_shorts | twintails | black_shorts | off_shoulder | tank_top | black_camisole | boots | hair_bobbles | socks | hairpin | ass | from_behind | looking_back | thighs | bike_shorts | black_sports_bra | butt_crack | sitting | sweat | tongue_out | 1boy | open_mouth | hetero | nipples | completely_nude | loli | solo_focus | sex_from_behind | censored | cum | petite | sex | spread_legs | vaginal | one_side_up | penis | cum_in_pussy | aged_up | alternate_breast_size | bar_censor | girl_on_top | grin | heart-shaped_pupils | huge_breasts | leg_lift | lying | pubic_tattoo | straddling | testicles | ass_visible_through_thighs | black_gloves | black_thighhighs | elbow_gloves | armpits | micro_bikini | blue_jacket | belt | blue_skirt | choker | earrings | sunglasses | eyewear_on_head | id_card | nail_polish | black_nails | bikini | cropped_jacket | hair_flower | umbrella | animal_ear_fluff | hair_bow | jingle_bell | paw_gloves | red_bow | black_skirt | collar | fur-trimmed_skirt | cat_ears | ponytail | cat_tail | hair_bell | o-ring | fang | paw_shoes | black_leotard | cosplay | covered_navel | taimanin_suit | covered_nipples | highleg_leotard | thighhighs | thigh_boots | fishnets | tentacle_sex | homurahara_academy_school_uniform | white_shirt | neck_ribbon | puffy_short_sleeves | pleated_skirt | white_sailor_collar | red_ribbon | collared_shirt | chalkboard | classroom | indoors | school_desk | crop_top | sailor_collar | neckerchief | serafuku | pantyhose | thick_thighs | fake_animal_ears | playboy_bunny | rabbit_ears | red_leotard | wrist_cuffs | detached_collar | strapless_leotard | 2girls | bowtie | fishnet_pantyhose | rabbit_tail | obi | floral_print | red_kimono | wide_sleeves | new_year | 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| 0 | 12 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 11 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | X | | | | | | | X | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 15 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X | X | X | | X | X | | X | | X | X | | | | | X | X | X | X | X | X | X | | | | X | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 3 | 6 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | X | X | X | X | X | X | X | X | | | X | X | | | | X | | X | | X | X | | X | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 4 | 5 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | X | X | X | | X | X | X | X | | | X | X | | | | | | | | | | | | | | | | | | | | X | X | | | | | X | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 5 | 8 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | X | | X | X | X | X | | X | | | | | | | | | | | | | X | | | | | | | | X | | | X | X | | | | | | | | | | | | X | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 6 | 5 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | X | | X | X | | | | X | | | | | | | | | | | | | X | | | | | | | | X | | | | | | | | | | | | | | X | | | | | | X | | | | | | | X | X | X | X | X | X | X | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 7 | 6 | ![](samples/7/clu7-sample0.png) | ![](samples/7/clu7-sample1.png) | ![](samples/7/clu7-sample2.png) | 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| 9 | 12 | ![](samples/9/clu9-sample0.png) | ![](samples/9/clu9-sample1.png) | ![](samples/9/clu9-sample2.png) | ![](samples/9/clu9-sample3.png) | ![](samples/9/clu9-sample4.png) | X | X | X | | X | | X | X | | | X | | | | | | | | | | X | | | | | | X | | X | | | | | | | | | | | | | | | | | | | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | X | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 10 | 6 | ![](samples/10/clu10-sample0.png) | ![](samples/10/clu10-sample1.png) | ![](samples/10/clu10-sample2.png) | ![](samples/10/clu10-sample3.png) | ![](samples/10/clu10-sample4.png) | X | X | | | | | X | X | | | | | | | | | | X | | | | | | | | | | | X | | | X | X | | | | | | | | | | | | X | | | | | | | | | X | | | X | | | | | | | X | | | | X | | | | | | | | | | | | | | | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 11 | 24 | ![](samples/11/clu11-sample0.png) | ![](samples/11/clu11-sample1.png) | ![](samples/11/clu11-sample2.png) | ![](samples/11/clu11-sample3.png) | ![](samples/11/clu11-sample4.png) | X | X | X | | X | X | | X | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | 12 | 8 | ![](samples/12/clu12-sample0.png) | ![](samples/12/clu12-sample1.png) | ![](samples/12/clu12-sample2.png) | ![](samples/12/clu12-sample3.png) | ![](samples/12/clu12-sample4.png) | X | X | X | | | | | X | | | X | X | | | | | | | | X | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | X | | | | | | | | | | | | | | | | | X | | | X | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | 13 | 8 | ![](samples/13/clu13-sample0.png) | ![](samples/13/clu13-sample1.png) | ![](samples/13/clu13-sample2.png) | ![](samples/13/clu13-sample3.png) | ![](samples/13/clu13-sample4.png) | X | X | X | | X | X | X | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | X | X | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | 14 | 8 | ![](samples/14/clu14-sample0.png) | ![](samples/14/clu14-sample1.png) | ![](samples/14/clu14-sample2.png) | ![](samples/14/clu14-sample3.png) | 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jamesagilesoda/ko-gen-sft-1444372
--- dataset_info: features: - name: input dtype: string - name: instruction dtype: string - name: output dtype: string - name: text dtype: string splits: - name: train num_bytes: 8112211386 num_examples: 1444372 download_size: 3523230329 dataset_size: 8112211386 configs: - config_name: default data_files: - split: train path: data/train-* ---
sordonia/flan-debug-flat
--- dataset_info: features: - name: source dtype: string - name: target dtype: string - name: task_name dtype: string - name: task_source dtype: string - name: template_type dtype: string - name: template_idx dtype: int64 - name: split dtype: string splits: - name: train num_bytes: 28551282 num_examples: 18200 download_size: 12635228 dataset_size: 28551282 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "flan-debug-flat" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mehdie/fine_tune_dataset
--- dataset_info: features: - name: text dtype: string - name: labels dtype: int64 splits: - name: train num_bytes: 85896 num_examples: 2594 download_size: 28599 dataset_size: 85896 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_Unbabel__TowerInstruct-7B-v0.1
--- pretty_name: Evaluation run of Unbabel/TowerInstruct-7B-v0.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Unbabel/TowerInstruct-7B-v0.1](https://huggingface.co/Unbabel/TowerInstruct-7B-v0.1)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Unbabel__TowerInstruct-7B-v0.1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-13T18:58:50.073000](https://huggingface.co/datasets/open-llm-leaderboard/details_Unbabel__TowerInstruct-7B-v0.1/blob/main/results_2024-01-13T18-58-50.073000.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.4711217152311766,\n\ \ \"acc_stderr\": 0.03442367854889606,\n \"acc_norm\": 0.4757369265971281,\n\ \ \"acc_norm_stderr\": 0.03519302105112233,\n \"mc1\": 0.29253365973072215,\n\ \ \"mc1_stderr\": 0.015925597445286165,\n \"mc2\": 0.42594704830683766,\n\ \ \"mc2_stderr\": 0.014921954316600566\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5110921501706485,\n \"acc_stderr\": 0.014607794914013048,\n\ \ \"acc_norm\": 0.5546075085324232,\n \"acc_norm_stderr\": 0.014523987638344076\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5993825931089425,\n\ \ \"acc_stderr\": 0.004890221012015062,\n \"acc_norm\": 0.789982075283808,\n\ \ \"acc_norm_stderr\": 0.004064885496003441\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.45185185185185184,\n\ \ \"acc_stderr\": 0.04299268905480864,\n \"acc_norm\": 0.45185185185185184,\n\ \ \"acc_norm_stderr\": 0.04299268905480864\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.4276315789473684,\n \"acc_stderr\": 0.04026097083296558,\n\ \ \"acc_norm\": 0.4276315789473684,\n \"acc_norm_stderr\": 0.04026097083296558\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.51,\n\ \ \"acc_stderr\": 0.05024183937956911,\n \"acc_norm\": 0.51,\n \ \ \"acc_norm_stderr\": 0.05024183937956911\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.4716981132075472,\n \"acc_stderr\": 0.0307235352490061,\n\ \ \"acc_norm\": 0.4716981132075472,\n \"acc_norm_stderr\": 0.0307235352490061\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4236111111111111,\n\ \ \"acc_stderr\": 0.04132125019723369,\n \"acc_norm\": 0.4236111111111111,\n\ \ \"acc_norm_stderr\": 0.04132125019723369\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \"acc_norm\": 0.4,\n\ \ \"acc_norm_stderr\": 0.049236596391733084\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.047609522856952344,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.047609522856952344\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.3988439306358382,\n\ \ \"acc_stderr\": 0.037336266553835096,\n \"acc_norm\": 0.3988439306358382,\n\ \ \"acc_norm_stderr\": 0.037336266553835096\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\ \ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.57,\n \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n\ \ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.44680851063829785,\n \"acc_stderr\": 0.0325005368436584,\n\ \ \"acc_norm\": 0.44680851063829785,\n \"acc_norm_stderr\": 0.0325005368436584\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.32456140350877194,\n\ \ \"acc_stderr\": 0.04404556157374767,\n \"acc_norm\": 0.32456140350877194,\n\ \ \"acc_norm_stderr\": 0.04404556157374767\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.4413793103448276,\n \"acc_stderr\": 0.04137931034482758,\n\ \ \"acc_norm\": 0.4413793103448276,\n \"acc_norm_stderr\": 0.04137931034482758\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.25925925925925924,\n \"acc_stderr\": 0.022569897074918407,\n \"\ acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.022569897074918407\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.2857142857142857,\n\ \ \"acc_stderr\": 0.040406101782088394,\n \"acc_norm\": 0.2857142857142857,\n\ \ \"acc_norm_stderr\": 0.040406101782088394\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.5193548387096775,\n \"acc_stderr\": 0.02842268740431211,\n \"\ acc_norm\": 0.5193548387096775,\n \"acc_norm_stderr\": 0.02842268740431211\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.30049261083743845,\n \"acc_stderr\": 0.032257994762334846,\n \"\ acc_norm\": 0.30049261083743845,\n \"acc_norm_stderr\": 0.032257994762334846\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\"\ : 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.6121212121212121,\n \"acc_stderr\": 0.038049136539710114,\n\ \ \"acc_norm\": 0.6121212121212121,\n \"acc_norm_stderr\": 0.038049136539710114\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.5909090909090909,\n \"acc_stderr\": 0.03502975799413007,\n \"\ acc_norm\": 0.5909090909090909,\n \"acc_norm_stderr\": 0.03502975799413007\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.6632124352331606,\n \"acc_stderr\": 0.03410780251836184,\n\ \ \"acc_norm\": 0.6632124352331606,\n \"acc_norm_stderr\": 0.03410780251836184\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.441025641025641,\n \"acc_stderr\": 0.02517404838400076,\n \ \ \"acc_norm\": 0.441025641025641,\n \"acc_norm_stderr\": 0.02517404838400076\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2962962962962963,\n \"acc_stderr\": 0.02784081149587193,\n \ \ \"acc_norm\": 0.2962962962962963,\n \"acc_norm_stderr\": 0.02784081149587193\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.40336134453781514,\n \"acc_stderr\": 0.031866081214088314,\n\ \ \"acc_norm\": 0.40336134453781514,\n \"acc_norm_stderr\": 0.031866081214088314\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.2582781456953642,\n \"acc_stderr\": 0.035737053147634576,\n \"\ acc_norm\": 0.2582781456953642,\n \"acc_norm_stderr\": 0.035737053147634576\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.6770642201834862,\n \"acc_stderr\": 0.020048115923415325,\n \"\ acc_norm\": 0.6770642201834862,\n \"acc_norm_stderr\": 0.020048115923415325\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.28703703703703703,\n \"acc_stderr\": 0.030851992993257013,\n \"\ acc_norm\": 0.28703703703703703,\n \"acc_norm_stderr\": 0.030851992993257013\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.5784313725490197,\n \"acc_stderr\": 0.03465868196380763,\n \"\ acc_norm\": 0.5784313725490197,\n \"acc_norm_stderr\": 0.03465868196380763\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.6582278481012658,\n \"acc_stderr\": 0.030874537537553617,\n \ \ \"acc_norm\": 0.6582278481012658,\n \"acc_norm_stderr\": 0.030874537537553617\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5426008968609866,\n\ \ \"acc_stderr\": 0.033435777055830646,\n \"acc_norm\": 0.5426008968609866,\n\ \ \"acc_norm_stderr\": 0.033435777055830646\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6106870229007634,\n \"acc_stderr\": 0.04276486542814591,\n\ \ \"acc_norm\": 0.6106870229007634,\n \"acc_norm_stderr\": 0.04276486542814591\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.6694214876033058,\n \"acc_stderr\": 0.04294340845212094,\n \"\ acc_norm\": 0.6694214876033058,\n \"acc_norm_stderr\": 0.04294340845212094\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5277777777777778,\n\ \ \"acc_stderr\": 0.048262172941398944,\n \"acc_norm\": 0.5277777777777778,\n\ \ \"acc_norm_stderr\": 0.048262172941398944\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.5337423312883436,\n \"acc_stderr\": 0.039194155450484096,\n\ \ \"acc_norm\": 0.5337423312883436,\n \"acc_norm_stderr\": 0.039194155450484096\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.38392857142857145,\n\ \ \"acc_stderr\": 0.04616143075028547,\n \"acc_norm\": 0.38392857142857145,\n\ \ \"acc_norm_stderr\": 0.04616143075028547\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.5436893203883495,\n \"acc_stderr\": 0.049318019942204146,\n\ \ \"acc_norm\": 0.5436893203883495,\n \"acc_norm_stderr\": 0.049318019942204146\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.688034188034188,\n\ \ \"acc_stderr\": 0.030351527323344927,\n \"acc_norm\": 0.688034188034188,\n\ \ \"acc_norm_stderr\": 0.030351527323344927\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.57,\n \"acc_stderr\": 0.049756985195624284,\n \ \ \"acc_norm\": 0.57,\n \"acc_norm_stderr\": 0.049756985195624284\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.648786717752235,\n\ \ \"acc_stderr\": 0.017069982051499434,\n \"acc_norm\": 0.648786717752235,\n\ \ \"acc_norm_stderr\": 0.017069982051499434\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.5317919075144508,\n \"acc_stderr\": 0.026864624366756646,\n\ \ \"acc_norm\": 0.5317919075144508,\n \"acc_norm_stderr\": 0.026864624366756646\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23798882681564246,\n\ \ \"acc_stderr\": 0.014242630070574915,\n \"acc_norm\": 0.23798882681564246,\n\ \ \"acc_norm_stderr\": 0.014242630070574915\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.5294117647058824,\n \"acc_stderr\": 0.0285803410651383,\n\ \ \"acc_norm\": 0.5294117647058824,\n \"acc_norm_stderr\": 0.0285803410651383\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5852090032154341,\n\ \ \"acc_stderr\": 0.027982680459759563,\n \"acc_norm\": 0.5852090032154341,\n\ \ \"acc_norm_stderr\": 0.027982680459759563\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.5277777777777778,\n \"acc_stderr\": 0.027777777777777797,\n\ \ \"acc_norm\": 0.5277777777777778,\n \"acc_norm_stderr\": 0.027777777777777797\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.3971631205673759,\n \"acc_stderr\": 0.029189805673587095,\n \ \ \"acc_norm\": 0.3971631205673759,\n \"acc_norm_stderr\": 0.029189805673587095\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.35853976531942633,\n\ \ \"acc_stderr\": 0.012248487319682741,\n \"acc_norm\": 0.35853976531942633,\n\ \ \"acc_norm_stderr\": 0.012248487319682741\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5110294117647058,\n \"acc_stderr\": 0.030365446477275675,\n\ \ \"acc_norm\": 0.5110294117647058,\n \"acc_norm_stderr\": 0.030365446477275675\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.43137254901960786,\n \"acc_stderr\": 0.020036393768352635,\n \ \ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.020036393768352635\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04789131426105757,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04789131426105757\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.4326530612244898,\n \"acc_stderr\": 0.03171752824062663,\n\ \ \"acc_norm\": 0.4326530612244898,\n \"acc_norm_stderr\": 0.03171752824062663\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6517412935323383,\n\ \ \"acc_stderr\": 0.033687874661154596,\n \"acc_norm\": 0.6517412935323383,\n\ \ \"acc_norm_stderr\": 0.033687874661154596\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.64,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.64,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.3795180722891566,\n\ \ \"acc_stderr\": 0.03777798822748018,\n \"acc_norm\": 0.3795180722891566,\n\ \ \"acc_norm_stderr\": 0.03777798822748018\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.6783625730994152,\n \"acc_stderr\": 0.03582529442573122,\n\ \ \"acc_norm\": 0.6783625730994152,\n \"acc_norm_stderr\": 0.03582529442573122\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.29253365973072215,\n\ \ \"mc1_stderr\": 0.015925597445286165,\n \"mc2\": 0.42594704830683766,\n\ \ \"mc2_stderr\": 0.014921954316600566\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.739542225730071,\n \"acc_stderr\": 0.012334833671998295\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.1645185746777862,\n \ \ \"acc_stderr\": 0.010212173002763541\n }\n}\n```" repo_url: https://huggingface.co/Unbabel/TowerInstruct-7B-v0.1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|arc:challenge|25_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-13T18-58-50.073000.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|gsm8k|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hellaswag|10_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-13T18-58-50.073000.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-management|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T18-58-50.073000.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|truthfulqa:mc|0_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-13T18-58-50.073000.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_13T18_58_50.073000 path: - '**/details_harness|winogrande|5_2024-01-13T18-58-50.073000.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-13T18-58-50.073000.parquet' - config_name: results data_files: - split: 2024_01_13T18_58_50.073000 path: - results_2024-01-13T18-58-50.073000.parquet - split: latest path: - results_2024-01-13T18-58-50.073000.parquet --- # Dataset Card for Evaluation run of Unbabel/TowerInstruct-7B-v0.1 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Unbabel/TowerInstruct-7B-v0.1](https://huggingface.co/Unbabel/TowerInstruct-7B-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Unbabel__TowerInstruct-7B-v0.1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-13T18:58:50.073000](https://huggingface.co/datasets/open-llm-leaderboard/details_Unbabel__TowerInstruct-7B-v0.1/blob/main/results_2024-01-13T18-58-50.073000.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.4711217152311766, "acc_stderr": 0.03442367854889606, "acc_norm": 0.4757369265971281, "acc_norm_stderr": 0.03519302105112233, "mc1": 0.29253365973072215, "mc1_stderr": 0.015925597445286165, "mc2": 0.42594704830683766, "mc2_stderr": 0.014921954316600566 }, "harness|arc:challenge|25": { "acc": 0.5110921501706485, "acc_stderr": 0.014607794914013048, "acc_norm": 0.5546075085324232, "acc_norm_stderr": 0.014523987638344076 }, "harness|hellaswag|10": { "acc": 0.5993825931089425, "acc_stderr": 0.004890221012015062, "acc_norm": 0.789982075283808, "acc_norm_stderr": 0.004064885496003441 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.45185185185185184, "acc_stderr": 0.04299268905480864, "acc_norm": 0.45185185185185184, "acc_norm_stderr": 0.04299268905480864 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.4276315789473684, "acc_stderr": 0.04026097083296558, "acc_norm": 0.4276315789473684, "acc_norm_stderr": 0.04026097083296558 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4716981132075472, "acc_stderr": 0.0307235352490061, "acc_norm": 0.4716981132075472, "acc_norm_stderr": 0.0307235352490061 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4236111111111111, "acc_stderr": 0.04132125019723369, "acc_norm": 0.4236111111111111, "acc_norm_stderr": 0.04132125019723369 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.34, "acc_stderr": 0.047609522856952344, "acc_norm": 0.34, "acc_norm_stderr": 0.047609522856952344 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3988439306358382, "acc_stderr": 0.037336266553835096, "acc_norm": 0.3988439306358382, "acc_norm_stderr": 0.037336266553835096 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.22549019607843138, "acc_stderr": 0.041583075330832865, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.041583075330832865 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.44680851063829785, "acc_stderr": 0.0325005368436584, "acc_norm": 0.44680851063829785, "acc_norm_stderr": 0.0325005368436584 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.32456140350877194, "acc_stderr": 0.04404556157374767, "acc_norm": 0.32456140350877194, "acc_norm_stderr": 0.04404556157374767 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4413793103448276, "acc_stderr": 0.04137931034482758, "acc_norm": 0.4413793103448276, "acc_norm_stderr": 0.04137931034482758 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.022569897074918407, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.022569897074918407 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2857142857142857, "acc_stderr": 0.040406101782088394, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.040406101782088394 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5193548387096775, "acc_stderr": 0.02842268740431211, "acc_norm": 0.5193548387096775, "acc_norm_stderr": 0.02842268740431211 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.30049261083743845, "acc_stderr": 0.032257994762334846, "acc_norm": 0.30049261083743845, "acc_norm_stderr": 0.032257994762334846 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6121212121212121, "acc_stderr": 0.038049136539710114, "acc_norm": 0.6121212121212121, "acc_norm_stderr": 0.038049136539710114 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5909090909090909, "acc_stderr": 0.03502975799413007, "acc_norm": 0.5909090909090909, "acc_norm_stderr": 0.03502975799413007 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.6632124352331606, "acc_stderr": 0.03410780251836184, "acc_norm": 0.6632124352331606, "acc_norm_stderr": 0.03410780251836184 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.441025641025641, "acc_stderr": 0.02517404838400076, "acc_norm": 0.441025641025641, "acc_norm_stderr": 0.02517404838400076 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2962962962962963, "acc_stderr": 0.02784081149587193, "acc_norm": 0.2962962962962963, "acc_norm_stderr": 0.02784081149587193 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.40336134453781514, "acc_stderr": 0.031866081214088314, "acc_norm": 0.40336134453781514, "acc_norm_stderr": 0.031866081214088314 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.2582781456953642, "acc_stderr": 0.035737053147634576, "acc_norm": 0.2582781456953642, "acc_norm_stderr": 0.035737053147634576 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.6770642201834862, "acc_stderr": 0.020048115923415325, "acc_norm": 0.6770642201834862, "acc_norm_stderr": 0.020048115923415325 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.28703703703703703, "acc_stderr": 0.030851992993257013, "acc_norm": 0.28703703703703703, "acc_norm_stderr": 0.030851992993257013 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.5784313725490197, "acc_stderr": 0.03465868196380763, "acc_norm": 0.5784313725490197, "acc_norm_stderr": 0.03465868196380763 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.6582278481012658, "acc_stderr": 0.030874537537553617, "acc_norm": 0.6582278481012658, "acc_norm_stderr": 0.030874537537553617 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.5426008968609866, "acc_stderr": 0.033435777055830646, "acc_norm": 0.5426008968609866, "acc_norm_stderr": 0.033435777055830646 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6106870229007634, "acc_stderr": 0.04276486542814591, "acc_norm": 0.6106870229007634, "acc_norm_stderr": 0.04276486542814591 }, "harness|hendrycksTest-international_law|5": { "acc": 0.6694214876033058, "acc_stderr": 0.04294340845212094, "acc_norm": 0.6694214876033058, "acc_norm_stderr": 0.04294340845212094 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.5277777777777778, "acc_stderr": 0.048262172941398944, "acc_norm": 0.5277777777777778, "acc_norm_stderr": 0.048262172941398944 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.5337423312883436, "acc_stderr": 0.039194155450484096, "acc_norm": 0.5337423312883436, "acc_norm_stderr": 0.039194155450484096 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.38392857142857145, "acc_stderr": 0.04616143075028547, "acc_norm": 0.38392857142857145, "acc_norm_stderr": 0.04616143075028547 }, "harness|hendrycksTest-management|5": { "acc": 0.5436893203883495, "acc_stderr": 0.049318019942204146, "acc_norm": 0.5436893203883495, "acc_norm_stderr": 0.049318019942204146 }, "harness|hendrycksTest-marketing|5": { "acc": 0.688034188034188, "acc_stderr": 0.030351527323344927, "acc_norm": 0.688034188034188, "acc_norm_stderr": 0.030351527323344927 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.648786717752235, "acc_stderr": 0.017069982051499434, "acc_norm": 0.648786717752235, "acc_norm_stderr": 0.017069982051499434 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.5317919075144508, "acc_stderr": 0.026864624366756646, "acc_norm": 0.5317919075144508, "acc_norm_stderr": 0.026864624366756646 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.23798882681564246, "acc_stderr": 0.014242630070574915, "acc_norm": 0.23798882681564246, "acc_norm_stderr": 0.014242630070574915 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.5294117647058824, "acc_stderr": 0.0285803410651383, "acc_norm": 0.5294117647058824, "acc_norm_stderr": 0.0285803410651383 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.5852090032154341, "acc_stderr": 0.027982680459759563, "acc_norm": 0.5852090032154341, "acc_norm_stderr": 0.027982680459759563 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.5277777777777778, "acc_stderr": 0.027777777777777797, "acc_norm": 0.5277777777777778, "acc_norm_stderr": 0.027777777777777797 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.3971631205673759, "acc_stderr": 0.029189805673587095, "acc_norm": 0.3971631205673759, "acc_norm_stderr": 0.029189805673587095 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.35853976531942633, "acc_stderr": 0.012248487319682741, "acc_norm": 0.35853976531942633, "acc_norm_stderr": 0.012248487319682741 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5110294117647058, "acc_stderr": 0.030365446477275675, "acc_norm": 0.5110294117647058, "acc_norm_stderr": 0.030365446477275675 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.43137254901960786, "acc_stderr": 0.020036393768352635, "acc_norm": 0.43137254901960786, "acc_norm_stderr": 0.020036393768352635 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.5, "acc_stderr": 0.04789131426105757, "acc_norm": 0.5, "acc_norm_stderr": 0.04789131426105757 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.4326530612244898, "acc_stderr": 0.03171752824062663, "acc_norm": 0.4326530612244898, "acc_norm_stderr": 0.03171752824062663 }, "harness|hendrycksTest-sociology|5": { "acc": 0.6517412935323383, "acc_stderr": 0.033687874661154596, "acc_norm": 0.6517412935323383, "acc_norm_stderr": 0.033687874661154596 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-virology|5": { "acc": 0.3795180722891566, "acc_stderr": 0.03777798822748018, "acc_norm": 0.3795180722891566, "acc_norm_stderr": 0.03777798822748018 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.6783625730994152, "acc_stderr": 0.03582529442573122, "acc_norm": 0.6783625730994152, "acc_norm_stderr": 0.03582529442573122 }, "harness|truthfulqa:mc|0": { "mc1": 0.29253365973072215, "mc1_stderr": 0.015925597445286165, "mc2": 0.42594704830683766, "mc2_stderr": 0.014921954316600566 }, "harness|winogrande|5": { "acc": 0.739542225730071, "acc_stderr": 0.012334833671998295 }, "harness|gsm8k|5": { "acc": 0.1645185746777862, "acc_stderr": 0.010212173002763541 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
SnehitVaddi/Idiomology_Lama2_7B_Chat
--- configs: - config_name: default data_files: - split: train path: "train.csv" - split: test path: "test.csv" --- # Dataset Card for "Idiomolgy - Idiom Detection Dataset" ## Dataset Description ### General Information This dataset is created for the purpose of training and evaluating language models, particularly focusing on their ability to identify idiomatic expressions within sentences. It aims to improve natural language understanding systems in recognizing idioms in varied contexts. ## Usage Example ```python from datasets import load_dataset # Load the dataset dataset = load_dataset("SnehitVaddi/Idiomology_Lama2_7B_Chat") ``` ### Dataset Structure Entries in this dataset consist of sentences incorporating idioms, paired with annotations identifying the idiomatic expressions used. The dataset is organized into training and testing sets, adhering to an 80/20 split. ## How to Use the Dataset ### For Model Training Utilize the training set to fine-tune language models on idiom detection tasks. Models should learn to accurately predict the idiom present in a given sentence context. ### For Model Evaluation Employ the test set to assess the model's idiom identification capabilities. Model performance can be evaluated using standard metrics such as accuracy or F1 score. ## Dataset Creation ### Curation Rationale The need for nuanced understanding of context and figurative language in natural language processing motivated the curation of this dataset, focusing on the challenge of idiom detection. ### Source This dataset was generated from a compiled list of idioms and their illustrative sentences, designed to reflect real-life applications of these expressions. ## Dataset Structure ### Data Fields - `sentence_with_idiom`: A sentence incorporating an idiom. - `idiom_annotation`: The annotation of the idiom present in the sentence, provided in various phrasings to reflect natural language variation. ## Data Splits - **Training Set**: Constitutes 80% of the dataset, intended for model training. - **Test Set**: Makes up 20% of the dataset, used for evaluating model efficacy. ## Dataset Challenges ### Idiom Variability The figurative nature and context-dependent usage of idioms introduce challenges in consistently identifying them within diverse sentences. ### Annotation Diversity The dataset's varied phrasing styles for idiom annotations demand that models generalize across different expressions of the same idea.
open-llm-leaderboard/details_migtissera__Tess-7B-v2.0
--- pretty_name: Evaluation run of migtissera/Tess-7B-v2.0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [migtissera/Tess-7B-v2.0](https://huggingface.co/migtissera/Tess-7B-v2.0) on the\ \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_migtissera__Tess-7B-v2.0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-27T17:44:19.166742](https://huggingface.co/datasets/open-llm-leaderboard/details_migtissera__Tess-7B-v2.0/blob/main/results_2024-03-27T17-44-19.166742.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.5195754749045444,\n\ \ \"acc_stderr\": 0.03430091207460778,\n \"acc_norm\": 0.5253111971650539,\n\ \ \"acc_norm_stderr\": 0.03502554358823958,\n \"mc1\": 0.28151774785801714,\n\ \ \"mc1_stderr\": 0.01574402724825605,\n \"mc2\": 0.44334331359677215,\n\ \ \"mc2_stderr\": 0.015404668572098906\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5247440273037542,\n \"acc_stderr\": 0.014593487694937736,\n\ \ \"acc_norm\": 0.5588737201365188,\n \"acc_norm_stderr\": 0.014509747749064663\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5763792073292173,\n\ \ \"acc_stderr\": 0.004931219148182242,\n \"acc_norm\": 0.7665803624775941,\n\ \ \"acc_norm_stderr\": 0.004221424792919217\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.22,\n \"acc_stderr\": 0.04163331998932269,\n \ \ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.04163331998932269\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4740740740740741,\n\ \ \"acc_stderr\": 0.04313531696750575,\n \"acc_norm\": 0.4740740740740741,\n\ \ \"acc_norm_stderr\": 0.04313531696750575\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.5855263157894737,\n \"acc_stderr\": 0.04008973785779206,\n\ \ \"acc_norm\": 0.5855263157894737,\n \"acc_norm_stderr\": 0.04008973785779206\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\ \ \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.53,\n \ \ \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.5660377358490566,\n \"acc_stderr\": 0.030503292013342592,\n\ \ \"acc_norm\": 0.5660377358490566,\n \"acc_norm_stderr\": 0.030503292013342592\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5277777777777778,\n\ \ \"acc_stderr\": 0.04174752578923185,\n \"acc_norm\": 0.5277777777777778,\n\ \ \"acc_norm_stderr\": 0.04174752578923185\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.42,\n\ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5260115606936416,\n\ \ \"acc_stderr\": 0.038073017265045125,\n \"acc_norm\": 0.5260115606936416,\n\ \ \"acc_norm_stderr\": 0.038073017265045125\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.3137254901960784,\n \"acc_stderr\": 0.04617034827006718,\n\ \ \"acc_norm\": 0.3137254901960784,\n \"acc_norm_stderr\": 0.04617034827006718\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n\ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.41702127659574467,\n \"acc_stderr\": 0.032232762667117124,\n\ \ \"acc_norm\": 0.41702127659574467,\n \"acc_norm_stderr\": 0.032232762667117124\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3508771929824561,\n\ \ \"acc_stderr\": 0.044895393502706986,\n \"acc_norm\": 0.3508771929824561,\n\ \ \"acc_norm_stderr\": 0.044895393502706986\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.503448275862069,\n \"acc_stderr\": 0.04166567577101579,\n\ \ \"acc_norm\": 0.503448275862069,\n \"acc_norm_stderr\": 0.04166567577101579\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.34656084656084657,\n \"acc_stderr\": 0.024508777521028417,\n \"\ acc_norm\": 0.34656084656084657,\n \"acc_norm_stderr\": 0.024508777521028417\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.30158730158730157,\n\ \ \"acc_stderr\": 0.04104947269903394,\n \"acc_norm\": 0.30158730158730157,\n\ \ \"acc_norm_stderr\": 0.04104947269903394\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.046482319871173156,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.046482319871173156\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.6290322580645161,\n \"acc_stderr\": 0.027480541887953593,\n \"\ acc_norm\": 0.6290322580645161,\n \"acc_norm_stderr\": 0.027480541887953593\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.41379310344827586,\n \"acc_stderr\": 0.03465304488406796,\n \"\ acc_norm\": 0.41379310344827586,\n \"acc_norm_stderr\": 0.03465304488406796\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.55,\n \"acc_stderr\": 0.049999999999999996,\n \"acc_norm\"\ : 0.55,\n \"acc_norm_stderr\": 0.049999999999999996\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.6787878787878788,\n \"acc_stderr\": 0.03646204963253812,\n\ \ \"acc_norm\": 0.6787878787878788,\n \"acc_norm_stderr\": 0.03646204963253812\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.702020202020202,\n \"acc_stderr\": 0.03258630383836556,\n \"acc_norm\"\ : 0.702020202020202,\n \"acc_norm_stderr\": 0.03258630383836556\n },\n\ \ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \ \ \"acc\": 0.6839378238341969,\n \"acc_stderr\": 0.033553973696861736,\n\ \ \"acc_norm\": 0.6839378238341969,\n \"acc_norm_stderr\": 0.033553973696861736\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5333333333333333,\n \"acc_stderr\": 0.025294608023986472,\n\ \ \"acc_norm\": 0.5333333333333333,\n \"acc_norm_stderr\": 0.025294608023986472\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3,\n \"acc_stderr\": 0.027940457136228402,\n \"acc_norm\"\ : 0.3,\n \"acc_norm_stderr\": 0.027940457136228402\n },\n \"harness|hendrycksTest-high_school_microeconomics|5\"\ : {\n \"acc\": 0.5168067226890757,\n \"acc_stderr\": 0.03246013680375308,\n\ \ \"acc_norm\": 0.5168067226890757,\n \"acc_norm_stderr\": 0.03246013680375308\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3973509933774834,\n \"acc_stderr\": 0.0399552400768168,\n \"acc_norm\"\ : 0.3973509933774834,\n \"acc_norm_stderr\": 0.0399552400768168\n },\n\ \ \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\": 0.6954128440366972,\n\ \ \"acc_stderr\": 0.01973229942035404,\n \"acc_norm\": 0.6954128440366972,\n\ \ \"acc_norm_stderr\": 0.01973229942035404\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\ : {\n \"acc\": 0.38425925925925924,\n \"acc_stderr\": 0.03317354514310742,\n\ \ \"acc_norm\": 0.38425925925925924,\n \"acc_norm_stderr\": 0.03317354514310742\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.6176470588235294,\n \"acc_stderr\": 0.03410785338904719,\n \"\ acc_norm\": 0.6176470588235294,\n \"acc_norm_stderr\": 0.03410785338904719\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.6919831223628692,\n \"acc_stderr\": 0.0300523893356057,\n \ \ \"acc_norm\": 0.6919831223628692,\n \"acc_norm_stderr\": 0.0300523893356057\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.600896860986547,\n\ \ \"acc_stderr\": 0.03286745312567961,\n \"acc_norm\": 0.600896860986547,\n\ \ \"acc_norm_stderr\": 0.03286745312567961\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.5801526717557252,\n \"acc_stderr\": 0.04328577215262971,\n\ \ \"acc_norm\": 0.5801526717557252,\n \"acc_norm_stderr\": 0.04328577215262971\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7024793388429752,\n \"acc_stderr\": 0.04173349148083499,\n \"\ acc_norm\": 0.7024793388429752,\n \"acc_norm_stderr\": 0.04173349148083499\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5925925925925926,\n\ \ \"acc_stderr\": 0.04750077341199985,\n \"acc_norm\": 0.5925925925925926,\n\ \ \"acc_norm_stderr\": 0.04750077341199985\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.5276073619631901,\n \"acc_stderr\": 0.0392237829061099,\n\ \ \"acc_norm\": 0.5276073619631901,\n \"acc_norm_stderr\": 0.0392237829061099\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.38392857142857145,\n\ \ \"acc_stderr\": 0.04616143075028547,\n \"acc_norm\": 0.38392857142857145,\n\ \ \"acc_norm_stderr\": 0.04616143075028547\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.6504854368932039,\n \"acc_stderr\": 0.04721188506097172,\n\ \ \"acc_norm\": 0.6504854368932039,\n \"acc_norm_stderr\": 0.04721188506097172\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8290598290598291,\n\ \ \"acc_stderr\": 0.024662496845209814,\n \"acc_norm\": 0.8290598290598291,\n\ \ \"acc_norm_stderr\": 0.024662496845209814\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6130268199233716,\n\ \ \"acc_stderr\": 0.017417138059440146,\n \"acc_norm\": 0.6130268199233716,\n\ \ \"acc_norm_stderr\": 0.017417138059440146\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.5867052023121387,\n \"acc_stderr\": 0.026511261369409247,\n\ \ \"acc_norm\": 0.5867052023121387,\n \"acc_norm_stderr\": 0.026511261369409247\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.25251396648044694,\n\ \ \"acc_stderr\": 0.014530330201468643,\n \"acc_norm\": 0.25251396648044694,\n\ \ \"acc_norm_stderr\": 0.014530330201468643\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.5915032679738562,\n \"acc_stderr\": 0.028146405993096358,\n\ \ \"acc_norm\": 0.5915032679738562,\n \"acc_norm_stderr\": 0.028146405993096358\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6141479099678456,\n\ \ \"acc_stderr\": 0.027648149599751464,\n \"acc_norm\": 0.6141479099678456,\n\ \ \"acc_norm_stderr\": 0.027648149599751464\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.5709876543209876,\n \"acc_stderr\": 0.027538925613470863,\n\ \ \"acc_norm\": 0.5709876543209876,\n \"acc_norm_stderr\": 0.027538925613470863\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.3900709219858156,\n \"acc_stderr\": 0.02909767559946393,\n \ \ \"acc_norm\": 0.3900709219858156,\n \"acc_norm_stderr\": 0.02909767559946393\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.39113428943937417,\n\ \ \"acc_stderr\": 0.012463861839982063,\n \"acc_norm\": 0.39113428943937417,\n\ \ \"acc_norm_stderr\": 0.012463861839982063\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.41911764705882354,\n \"acc_stderr\": 0.029972807170464626,\n\ \ \"acc_norm\": 0.41911764705882354,\n \"acc_norm_stderr\": 0.029972807170464626\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.545751633986928,\n \"acc_stderr\": 0.020142974553795205,\n \ \ \"acc_norm\": 0.545751633986928,\n \"acc_norm_stderr\": 0.020142974553795205\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6090909090909091,\n\ \ \"acc_stderr\": 0.04673752333670238,\n \"acc_norm\": 0.6090909090909091,\n\ \ \"acc_norm_stderr\": 0.04673752333670238\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.6448979591836734,\n \"acc_stderr\": 0.030635655150387638,\n\ \ \"acc_norm\": 0.6448979591836734,\n \"acc_norm_stderr\": 0.030635655150387638\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.746268656716418,\n\ \ \"acc_stderr\": 0.030769444967296018,\n \"acc_norm\": 0.746268656716418,\n\ \ \"acc_norm_stderr\": 0.030769444967296018\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4578313253012048,\n\ \ \"acc_stderr\": 0.038786267710023595,\n \"acc_norm\": 0.4578313253012048,\n\ \ \"acc_norm_stderr\": 0.038786267710023595\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.5906432748538012,\n \"acc_stderr\": 0.037712831076265434,\n\ \ \"acc_norm\": 0.5906432748538012,\n \"acc_norm_stderr\": 0.037712831076265434\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.28151774785801714,\n\ \ \"mc1_stderr\": 0.01574402724825605,\n \"mc2\": 0.44334331359677215,\n\ \ \"mc2_stderr\": 0.015404668572098906\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6764009471191792,\n \"acc_stderr\": 0.013148883320923153\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.2486732373009856,\n \ \ \"acc_stderr\": 0.011906147222879967\n }\n}\n```" repo_url: https://huggingface.co/migtissera/Tess-7B-v2.0 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|arc:challenge|25_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-27T17-44-19.166742.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|gsm8k|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hellaswag|10_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-27T17-44-19.166742.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-management|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T17-44-19.166742.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|truthfulqa:mc|0_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-27T17-44-19.166742.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_27T17_44_19.166742 path: - '**/details_harness|winogrande|5_2024-03-27T17-44-19.166742.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-27T17-44-19.166742.parquet' - config_name: results data_files: - split: 2024_03_27T17_44_19.166742 path: - results_2024-03-27T17-44-19.166742.parquet - split: latest path: - results_2024-03-27T17-44-19.166742.parquet --- # Dataset Card for Evaluation run of migtissera/Tess-7B-v2.0 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [migtissera/Tess-7B-v2.0](https://huggingface.co/migtissera/Tess-7B-v2.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_migtissera__Tess-7B-v2.0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-27T17:44:19.166742](https://huggingface.co/datasets/open-llm-leaderboard/details_migtissera__Tess-7B-v2.0/blob/main/results_2024-03-27T17-44-19.166742.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.5195754749045444, "acc_stderr": 0.03430091207460778, "acc_norm": 0.5253111971650539, "acc_norm_stderr": 0.03502554358823958, "mc1": 0.28151774785801714, "mc1_stderr": 0.01574402724825605, "mc2": 0.44334331359677215, "mc2_stderr": 0.015404668572098906 }, "harness|arc:challenge|25": { "acc": 0.5247440273037542, "acc_stderr": 0.014593487694937736, "acc_norm": 0.5588737201365188, "acc_norm_stderr": 0.014509747749064663 }, "harness|hellaswag|10": { "acc": 0.5763792073292173, "acc_stderr": 0.004931219148182242, "acc_norm": 0.7665803624775941, "acc_norm_stderr": 0.004221424792919217 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4740740740740741, "acc_stderr": 0.04313531696750575, "acc_norm": 0.4740740740740741, "acc_norm_stderr": 0.04313531696750575 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5855263157894737, "acc_stderr": 0.04008973785779206, "acc_norm": 0.5855263157894737, "acc_norm_stderr": 0.04008973785779206 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5660377358490566, "acc_stderr": 0.030503292013342592, "acc_norm": 0.5660377358490566, "acc_norm_stderr": 0.030503292013342592 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5277777777777778, "acc_stderr": 0.04174752578923185, "acc_norm": 0.5277777777777778, "acc_norm_stderr": 0.04174752578923185 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5260115606936416, "acc_stderr": 0.038073017265045125, "acc_norm": 0.5260115606936416, "acc_norm_stderr": 0.038073017265045125 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.3137254901960784, "acc_stderr": 0.04617034827006718, "acc_norm": 0.3137254901960784, "acc_norm_stderr": 0.04617034827006718 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.41702127659574467, "acc_stderr": 0.032232762667117124, "acc_norm": 0.41702127659574467, "acc_norm_stderr": 0.032232762667117124 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.3508771929824561, "acc_stderr": 0.044895393502706986, "acc_norm": 0.3508771929824561, "acc_norm_stderr": 0.044895393502706986 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.503448275862069, "acc_stderr": 0.04166567577101579, "acc_norm": 0.503448275862069, "acc_norm_stderr": 0.04166567577101579 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.34656084656084657, "acc_stderr": 0.024508777521028417, "acc_norm": 0.34656084656084657, "acc_norm_stderr": 0.024508777521028417 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.30158730158730157, "acc_stderr": 0.04104947269903394, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.04104947269903394 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6290322580645161, "acc_stderr": 0.027480541887953593, "acc_norm": 0.6290322580645161, "acc_norm_stderr": 0.027480541887953593 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.41379310344827586, "acc_stderr": 0.03465304488406796, "acc_norm": 0.41379310344827586, "acc_norm_stderr": 0.03465304488406796 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.55, "acc_stderr": 0.049999999999999996, "acc_norm": 0.55, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6787878787878788, "acc_stderr": 0.03646204963253812, "acc_norm": 0.6787878787878788, "acc_norm_stderr": 0.03646204963253812 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.702020202020202, "acc_stderr": 0.03258630383836556, "acc_norm": 0.702020202020202, "acc_norm_stderr": 0.03258630383836556 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.6839378238341969, "acc_stderr": 0.033553973696861736, "acc_norm": 0.6839378238341969, "acc_norm_stderr": 0.033553973696861736 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5333333333333333, "acc_stderr": 0.025294608023986472, "acc_norm": 0.5333333333333333, "acc_norm_stderr": 0.025294608023986472 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3, "acc_stderr": 0.027940457136228402, "acc_norm": 0.3, "acc_norm_stderr": 0.027940457136228402 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5168067226890757, "acc_stderr": 0.03246013680375308, "acc_norm": 0.5168067226890757, "acc_norm_stderr": 0.03246013680375308 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3973509933774834, "acc_stderr": 0.0399552400768168, "acc_norm": 0.3973509933774834, "acc_norm_stderr": 0.0399552400768168 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.6954128440366972, "acc_stderr": 0.01973229942035404, "acc_norm": 0.6954128440366972, "acc_norm_stderr": 0.01973229942035404 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.38425925925925924, "acc_stderr": 0.03317354514310742, "acc_norm": 0.38425925925925924, "acc_norm_stderr": 0.03317354514310742 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.6176470588235294, "acc_stderr": 0.03410785338904719, "acc_norm": 0.6176470588235294, "acc_norm_stderr": 0.03410785338904719 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.6919831223628692, "acc_stderr": 0.0300523893356057, "acc_norm": 0.6919831223628692, "acc_norm_stderr": 0.0300523893356057 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.600896860986547, "acc_stderr": 0.03286745312567961, "acc_norm": 0.600896860986547, "acc_norm_stderr": 0.03286745312567961 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.5801526717557252, "acc_stderr": 0.04328577215262971, "acc_norm": 0.5801526717557252, "acc_norm_stderr": 0.04328577215262971 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7024793388429752, "acc_stderr": 0.04173349148083499, "acc_norm": 0.7024793388429752, "acc_norm_stderr": 0.04173349148083499 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.5925925925925926, "acc_stderr": 0.04750077341199985, "acc_norm": 0.5925925925925926, "acc_norm_stderr": 0.04750077341199985 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.5276073619631901, "acc_stderr": 0.0392237829061099, "acc_norm": 0.5276073619631901, "acc_norm_stderr": 0.0392237829061099 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.38392857142857145, "acc_stderr": 0.04616143075028547, "acc_norm": 0.38392857142857145, "acc_norm_stderr": 0.04616143075028547 }, "harness|hendrycksTest-management|5": { "acc": 0.6504854368932039, "acc_stderr": 0.04721188506097172, "acc_norm": 0.6504854368932039, "acc_norm_stderr": 0.04721188506097172 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8290598290598291, "acc_stderr": 0.024662496845209814, "acc_norm": 0.8290598290598291, "acc_norm_stderr": 0.024662496845209814 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.6130268199233716, "acc_stderr": 0.017417138059440146, "acc_norm": 0.6130268199233716, "acc_norm_stderr": 0.017417138059440146 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.5867052023121387, "acc_stderr": 0.026511261369409247, "acc_norm": 0.5867052023121387, "acc_norm_stderr": 0.026511261369409247 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.25251396648044694, "acc_stderr": 0.014530330201468643, "acc_norm": 0.25251396648044694, "acc_norm_stderr": 0.014530330201468643 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.5915032679738562, "acc_stderr": 0.028146405993096358, "acc_norm": 0.5915032679738562, "acc_norm_stderr": 0.028146405993096358 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6141479099678456, "acc_stderr": 0.027648149599751464, "acc_norm": 0.6141479099678456, "acc_norm_stderr": 0.027648149599751464 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.5709876543209876, "acc_stderr": 0.027538925613470863, "acc_norm": 0.5709876543209876, "acc_norm_stderr": 0.027538925613470863 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.3900709219858156, "acc_stderr": 0.02909767559946393, "acc_norm": 0.3900709219858156, "acc_norm_stderr": 0.02909767559946393 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.39113428943937417, "acc_stderr": 0.012463861839982063, "acc_norm": 0.39113428943937417, "acc_norm_stderr": 0.012463861839982063 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.41911764705882354, "acc_stderr": 0.029972807170464626, "acc_norm": 0.41911764705882354, "acc_norm_stderr": 0.029972807170464626 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.545751633986928, "acc_stderr": 0.020142974553795205, "acc_norm": 0.545751633986928, "acc_norm_stderr": 0.020142974553795205 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6090909090909091, "acc_stderr": 0.04673752333670238, "acc_norm": 0.6090909090909091, "acc_norm_stderr": 0.04673752333670238 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.6448979591836734, "acc_stderr": 0.030635655150387638, "acc_norm": 0.6448979591836734, "acc_norm_stderr": 0.030635655150387638 }, "harness|hendrycksTest-sociology|5": { "acc": 0.746268656716418, "acc_stderr": 0.030769444967296018, "acc_norm": 0.746268656716418, "acc_norm_stderr": 0.030769444967296018 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-virology|5": { "acc": 0.4578313253012048, "acc_stderr": 0.038786267710023595, "acc_norm": 0.4578313253012048, "acc_norm_stderr": 0.038786267710023595 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.5906432748538012, "acc_stderr": 0.037712831076265434, "acc_norm": 0.5906432748538012, "acc_norm_stderr": 0.037712831076265434 }, "harness|truthfulqa:mc|0": { "mc1": 0.28151774785801714, "mc1_stderr": 0.01574402724825605, "mc2": 0.44334331359677215, "mc2_stderr": 0.015404668572098906 }, "harness|winogrande|5": { "acc": 0.6764009471191792, "acc_stderr": 0.013148883320923153 }, "harness|gsm8k|5": { "acc": 0.2486732373009856, "acc_stderr": 0.011906147222879967 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
tobaba2001/scs_phase2_ts_dataset6
--- dataset_info: features: - name: prompt dtype: string - name: answer dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 7140888 num_examples: 10614 download_size: 162457 dataset_size: 7140888 configs: - config_name: default data_files: - split: train path: data/train-* ---
joey234/mmlu-college_chemistry-original-neg-prepend
--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: neg_prompt dtype: string splits: - name: test num_bytes: 3641 num_examples: 9 download_size: 7082 dataset_size: 3641 --- # Dataset Card for "mmlu-college_chemistry-original-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
voidful/lfqa_eval
--- dataset_info: features: - name: question dtype: string - name: input_info dtype: string - name: answer dtype: string splits: - name: eil5 num_bytes: 265291.33893603133 num_examples: 300 - name: wikihownfqa num_bytes: 323163.5233604801 num_examples: 300 - name: askh num_bytes: 638261.7677181483 num_examples: 300 - name: aquamuse num_bytes: 186636.99136868064 num_examples: 300 - name: asks num_bytes: 393450.0 num_examples: 300 - name: stackxchange num_bytes: 796344.5058889592 num_examples: 300 download_size: 1629681 dataset_size: 2603148.1272722995 --- # Dataset Card for "lfqa_eval" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
FanChen0116/19100_chat_05x_slot
--- dataset_info: features: - name: id dtype: int64 - name: tokens sequence: string - name: labels sequence: class_label: names: '0': O '1': I-time '2': B-date '3': B-last_name '4': B-people '5': I-date '6': I-people '7': I-last_name '8': I-first_name '9': B-first_name '10': B-time - name: request_slot sequence: string splits: - name: train num_bytes: 5796 num_examples: 32 - name: validation num_bytes: 5405 num_examples: 32 - name: test num_bytes: 646729 num_examples: 3731 download_size: 0 dataset_size: 657930 --- # Dataset Card for "19100_chat_05x_slot" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
KenDoStudio/IRL_Artist_Miley_Cyrus
--- license: mit ---
cvcio/toxic-el
--- license: gpl-3.0 task_categories: - text-classification language: - el tags: - text-classification - toxicity size_categories: - 10K<n<100K pretty_name: Toxic Tweets, Greek Dataset multilinguality: - monolingual --- # Toxic Tweets, Greek Dataset ## Dataset Description A frequent debate regarding research on media platforms revolves around the term of toxicity. However, the term itself is poorly defined and often contradictory, encompassing everything between online harassment and bullying to a negative commentary. In order to map online toxicity on Twitter we formed 7 different categories: i) hateful ii) insulting iii) threatening iv) racist v) sexist vi) using anti-refugee rhetoric vii) using nationalistic language (table 4). These categories were clustered into wider groups. Every tweet that contained at least one of the above mentioned categories was marked as toxic. Further on, tweets that included hateful language, threats and / or insults were marked as severe toxic. Tweets targeting an individual or a group based on identity characteristics such as gender, ethnic minority and / or religion were marked as identity hate. ### Dataset Curators Published by Dimitris Papaevagelou (Civic Information Office), Ioanna Archontaki (Civic Information Office), Stefanos Loukopoulos (VouliWatch), Maria Nathanail (VouliWatch) and Konstantinos Mentzelos (VouliWatch). ### Annotation Process [VouliWatch](https://vouliwatch.gr/), a Greek non-profit and non-partisan parliamentary monitoring organisation, currated the annotation process with 15 annotators that marked 112.000 tweets, resulting this dataset. ## Citation ``` @misc {civic_information_office_2023, author = { {Civic Information Office} }, title = { toxic-el (Revision 65f60da) }, year = 2023, url = { https://huggingface.co/datasets/cvcio/toxic-el }, doi = { 10.57967/hf/0744 }, publisher = { Hugging Face } } ``` ## Authors Dimitris Papaevagelou (Civic Information Office) - [@andefined](https://huggingface.co/andefined) ## About [Civic Information Office](https://cvcio.org/) is a Non Profit Organization based in Athens, Greece focusing on creating technology and research products for the public interest. [VouliWatch](https://vouliwatch.gr/) is a Non Profit parliamentary monitoring and transparency watchdog organisation that promotes political integrity, engages Greek citizens with legislative politics and grants them with the opportunity to communicate, evaluate and hold elected representatives in the Greek and the European Parliament accountable.
Electrotubbie/classification_Turkic_languages
--- task_categories: - text-classification language: - ba - kk - ky size_categories: - 100K<n<1M --- ## Description A dataset with texts and the categories to which these texts belong. ## Usage This dataset can be used to check language models for the correct classification of texts by category. ## Dataset structure: - **lang**: the language to which the text source belongs; - **title**: the title of the text; - **original_text**: original text taken from a web page; - **processed_text**: processed text using preprocessing functions; - **category**: the category to which the text belongs; - **processed**: flag indicating that one or more sentence has been deleted from the text; - **url**: link to the source; - **date**: date of publication of the text; ## The creation process This dataset was obtained by parsing news resources of countries and regions of native speakers of Turkic languages, such as Bashkir, Kazakh and Kyrgyz. During parsing, it was a priori believed that the language of the articles was written in the language of the region about which the news was written. After parsing, the text of the articles was processed through the preprocessing functions described on [github](https://github.com/Electrotubbie/turk_langs_analyse ). The scheme of text preprocessing and validation is as follows: - cleaning the text from unnecessary constructions using regular expressions; - splitting text into sentences using the sentenize function of the razdel module; - making predictions for each sentence using the lid.176.bin model, as well as the fasttext module; - deleting sentences written in non-Turkic languages; - combining valid sentences into text and getting the processed_text column.
adamtappis/marketing_emails
--- dataset_info: features: - name: product dtype: string - name: description dtype: string - name: marketing_email dtype: string splits: - name: train num_bytes: 20404 num_examples: 10 download_size: 24797 dataset_size: 20404 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "marketing_emails" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_vicgalleorg__OpenHermes-Yi-9B
--- pretty_name: Evaluation run of vicgalleorg/OpenHermes-Yi-9B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [vicgalleorg/OpenHermes-Yi-9B](https://huggingface.co/vicgalleorg/OpenHermes-Yi-9B)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_vicgalleorg__OpenHermes-Yi-9B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-07T01:03:13.476946](https://huggingface.co/datasets/open-llm-leaderboard/details_vicgalleorg__OpenHermes-Yi-9B/blob/main/results_2024-03-07T01-03-13.476946.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6906750893244723,\n\ \ \"acc_stderr\": 0.030776345024466335,\n \"acc_norm\": 0.6966800698368959,\n\ \ \"acc_norm_stderr\": 0.03136866310374744,\n \"mc1\": 0.27050183598531213,\n\ \ \"mc1_stderr\": 0.015550778332842892,\n \"mc2\": 0.4225455721872872,\n\ \ \"mc2_stderr\": 0.014721446205323074\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5665529010238908,\n \"acc_stderr\": 0.014481376224558902,\n\ \ \"acc_norm\": 0.606655290102389,\n \"acc_norm_stderr\": 0.014275101465693024\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5844453296156145,\n\ \ \"acc_stderr\": 0.004918102168717934,\n \"acc_norm\": 0.7872933678550089,\n\ \ \"acc_norm_stderr\": 0.004083855139469325\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252606,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252606\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5777777777777777,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.7171052631578947,\n \"acc_stderr\": 0.03665349695640767,\n\ \ \"acc_norm\": 0.7171052631578947,\n \"acc_norm_stderr\": 0.03665349695640767\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.79,\n\ \ \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\": 0.79,\n \ \ \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7245283018867924,\n \"acc_stderr\": 0.02749566368372405,\n\ \ \"acc_norm\": 0.7245283018867924,\n \"acc_norm_stderr\": 0.02749566368372405\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8194444444444444,\n\ \ \"acc_stderr\": 0.032166008088022675,\n \"acc_norm\": 0.8194444444444444,\n\ \ \"acc_norm_stderr\": 0.032166008088022675\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.55,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\ : {\n \"acc\": 0.61,\n \"acc_stderr\": 0.04902071300001975,\n \ \ \"acc_norm\": 0.61,\n \"acc_norm_stderr\": 0.04902071300001975\n \ \ },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \"acc\": 0.45,\n\ \ \"acc_stderr\": 0.049999999999999996,\n \"acc_norm\": 0.45,\n \ \ \"acc_norm_stderr\": 0.049999999999999996\n },\n \"harness|hendrycksTest-college_medicine|5\"\ : {\n \"acc\": 0.7514450867052023,\n \"acc_stderr\": 0.03295304696818317,\n\ \ \"acc_norm\": 0.7514450867052023,\n \"acc_norm_stderr\": 0.03295304696818317\n\ \ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.45098039215686275,\n\ \ \"acc_stderr\": 0.04951218252396262,\n \"acc_norm\": 0.45098039215686275,\n\ \ \"acc_norm_stderr\": 0.04951218252396262\n },\n \"harness|hendrycksTest-computer_security|5\"\ : {\n \"acc\": 0.82,\n \"acc_stderr\": 0.03861229196653695,\n \ \ \"acc_norm\": 0.82,\n \"acc_norm_stderr\": 0.03861229196653695\n \ \ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.7106382978723405,\n\ \ \"acc_stderr\": 0.02964400657700962,\n \"acc_norm\": 0.7106382978723405,\n\ \ \"acc_norm_stderr\": 0.02964400657700962\n },\n \"harness|hendrycksTest-econometrics|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.047036043419179864,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.047036043419179864\n \ \ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\ : 0.6896551724137931,\n \"acc_stderr\": 0.03855289616378949,\n \"\ acc_norm\": 0.6896551724137931,\n \"acc_norm_stderr\": 0.03855289616378949\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.5952380952380952,\n \"acc_stderr\": 0.025279850397404904,\n \"\ acc_norm\": 0.5952380952380952,\n \"acc_norm_stderr\": 0.025279850397404904\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5873015873015873,\n\ \ \"acc_stderr\": 0.04403438954768177,\n \"acc_norm\": 0.5873015873015873,\n\ \ \"acc_norm_stderr\": 0.04403438954768177\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.8483870967741935,\n \"acc_stderr\": 0.02040261665441676,\n \"\ acc_norm\": 0.8483870967741935,\n \"acc_norm_stderr\": 0.02040261665441676\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.5714285714285714,\n \"acc_stderr\": 0.034819048444388045,\n \"\ acc_norm\": 0.5714285714285714,\n \"acc_norm_stderr\": 0.034819048444388045\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.81,\n \"acc_stderr\": 0.039427724440366255,\n \"acc_norm\"\ : 0.81,\n \"acc_norm_stderr\": 0.039427724440366255\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.03256866661681102,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.03256866661681102\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8585858585858586,\n \"acc_stderr\": 0.02482590979334333,\n \"\ acc_norm\": 0.8585858585858586,\n \"acc_norm_stderr\": 0.02482590979334333\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.927461139896373,\n \"acc_stderr\": 0.01871899852067817,\n\ \ \"acc_norm\": 0.927461139896373,\n \"acc_norm_stderr\": 0.01871899852067817\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.7615384615384615,\n \"acc_stderr\": 0.021606294494647727,\n\ \ \"acc_norm\": 0.7615384615384615,\n \"acc_norm_stderr\": 0.021606294494647727\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3888888888888889,\n \"acc_stderr\": 0.029723278961476664,\n \ \ \"acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.029723278961476664\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.8109243697478992,\n \"acc_stderr\": 0.025435119438105353,\n\ \ \"acc_norm\": 0.8109243697478992,\n \"acc_norm_stderr\": 0.025435119438105353\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.4105960264900662,\n \"acc_stderr\": 0.04016689594849927,\n \"\ acc_norm\": 0.4105960264900662,\n \"acc_norm_stderr\": 0.04016689594849927\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8587155963302753,\n \"acc_stderr\": 0.01493386898702808,\n \"\ acc_norm\": 0.8587155963302753,\n \"acc_norm_stderr\": 0.01493386898702808\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.6851851851851852,\n \"acc_stderr\": 0.03167468706828979,\n \"\ acc_norm\": 0.6851851851851852,\n \"acc_norm_stderr\": 0.03167468706828979\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8578431372549019,\n \"acc_stderr\": 0.024509803921568617,\n \"\ acc_norm\": 0.8578431372549019,\n \"acc_norm_stderr\": 0.024509803921568617\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8227848101265823,\n \"acc_stderr\": 0.024856364184503228,\n \ \ \"acc_norm\": 0.8227848101265823,\n \"acc_norm_stderr\": 0.024856364184503228\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7354260089686099,\n\ \ \"acc_stderr\": 0.029605103217038332,\n \"acc_norm\": 0.7354260089686099,\n\ \ \"acc_norm_stderr\": 0.029605103217038332\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.034981493854624714,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.034981493854624714\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8347107438016529,\n \"acc_stderr\": 0.03390780612972776,\n \"\ acc_norm\": 0.8347107438016529,\n \"acc_norm_stderr\": 0.03390780612972776\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.040191074725573483\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\ \ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5892857142857143,\n\ \ \"acc_stderr\": 0.04669510663875192,\n \"acc_norm\": 0.5892857142857143,\n\ \ \"acc_norm_stderr\": 0.04669510663875192\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8349514563106796,\n \"acc_stderr\": 0.03675668832233188,\n\ \ \"acc_norm\": 0.8349514563106796,\n \"acc_norm_stderr\": 0.03675668832233188\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9017094017094017,\n\ \ \"acc_stderr\": 0.019503444900757567,\n \"acc_norm\": 0.9017094017094017,\n\ \ \"acc_norm_stderr\": 0.019503444900757567\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \ \ \"acc_norm\": 0.78,\n \"acc_norm_stderr\": 0.04163331998932261\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8390804597701149,\n\ \ \"acc_stderr\": 0.013140225515611729,\n \"acc_norm\": 0.8390804597701149,\n\ \ \"acc_norm_stderr\": 0.013140225515611729\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7543352601156069,\n \"acc_stderr\": 0.023176298203992,\n\ \ \"acc_norm\": 0.7543352601156069,\n \"acc_norm_stderr\": 0.023176298203992\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.38100558659217876,\n\ \ \"acc_stderr\": 0.016242028834053616,\n \"acc_norm\": 0.38100558659217876,\n\ \ \"acc_norm_stderr\": 0.016242028834053616\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.761437908496732,\n \"acc_stderr\": 0.02440439492808787,\n\ \ \"acc_norm\": 0.761437908496732,\n \"acc_norm_stderr\": 0.02440439492808787\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7845659163987139,\n\ \ \"acc_stderr\": 0.023350225475471442,\n \"acc_norm\": 0.7845659163987139,\n\ \ \"acc_norm_stderr\": 0.023350225475471442\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7654320987654321,\n \"acc_stderr\": 0.023576881744005723,\n\ \ \"acc_norm\": 0.7654320987654321,\n \"acc_norm_stderr\": 0.023576881744005723\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5567375886524822,\n \"acc_stderr\": 0.029634838473766002,\n \ \ \"acc_norm\": 0.5567375886524822,\n \"acc_norm_stderr\": 0.029634838473766002\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.48370273794002605,\n\ \ \"acc_stderr\": 0.012763450734699814,\n \"acc_norm\": 0.48370273794002605,\n\ \ \"acc_norm_stderr\": 0.012763450734699814\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6911764705882353,\n \"acc_stderr\": 0.028064998167040094,\n\ \ \"acc_norm\": 0.6911764705882353,\n \"acc_norm_stderr\": 0.028064998167040094\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.7058823529411765,\n \"acc_stderr\": 0.0184334276494019,\n \ \ \"acc_norm\": 0.7058823529411765,\n \"acc_norm_stderr\": 0.0184334276494019\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7454545454545455,\n\ \ \"acc_stderr\": 0.041723430387053825,\n \"acc_norm\": 0.7454545454545455,\n\ \ \"acc_norm_stderr\": 0.041723430387053825\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.746938775510204,\n \"acc_stderr\": 0.027833023871399683,\n\ \ \"acc_norm\": 0.746938775510204,\n \"acc_norm_stderr\": 0.027833023871399683\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8656716417910447,\n\ \ \"acc_stderr\": 0.024112678240900794,\n \"acc_norm\": 0.8656716417910447,\n\ \ \"acc_norm_stderr\": 0.024112678240900794\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.9,\n \"acc_stderr\": 0.030151134457776334,\n \ \ \"acc_norm\": 0.9,\n \"acc_norm_stderr\": 0.030151134457776334\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.536144578313253,\n\ \ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\ \ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.028782108105401705,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.028782108105401705\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.27050183598531213,\n\ \ \"mc1_stderr\": 0.015550778332842892,\n \"mc2\": 0.4225455721872872,\n\ \ \"mc2_stderr\": 0.014721446205323074\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7719021310181531,\n \"acc_stderr\": 0.011793015817663588\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.4981046247156937,\n \ \ \"acc_stderr\": 0.013772385765569753\n }\n}\n```" repo_url: https://huggingface.co/vicgalleorg/OpenHermes-Yi-9B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|arc:challenge|25_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-07T01-03-13.476946.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|gsm8k|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hellaswag|10_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-07T01-03-13.476946.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-management|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-07T01-03-13.476946.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|truthfulqa:mc|0_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-07T01-03-13.476946.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_07T01_03_13.476946 path: - '**/details_harness|winogrande|5_2024-03-07T01-03-13.476946.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-07T01-03-13.476946.parquet' - config_name: results data_files: - split: 2024_03_07T01_03_13.476946 path: - results_2024-03-07T01-03-13.476946.parquet - split: latest path: - results_2024-03-07T01-03-13.476946.parquet --- # Dataset Card for Evaluation run of vicgalleorg/OpenHermes-Yi-9B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [vicgalleorg/OpenHermes-Yi-9B](https://huggingface.co/vicgalleorg/OpenHermes-Yi-9B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_vicgalleorg__OpenHermes-Yi-9B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-07T01:03:13.476946](https://huggingface.co/datasets/open-llm-leaderboard/details_vicgalleorg__OpenHermes-Yi-9B/blob/main/results_2024-03-07T01-03-13.476946.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.6906750893244723, "acc_stderr": 0.030776345024466335, "acc_norm": 0.6966800698368959, "acc_norm_stderr": 0.03136866310374744, "mc1": 0.27050183598531213, "mc1_stderr": 0.015550778332842892, "mc2": 0.4225455721872872, "mc2_stderr": 0.014721446205323074 }, "harness|arc:challenge|25": { "acc": 0.5665529010238908, "acc_stderr": 0.014481376224558902, "acc_norm": 0.606655290102389, "acc_norm_stderr": 0.014275101465693024 }, "harness|hellaswag|10": { "acc": 0.5844453296156145, "acc_stderr": 0.004918102168717934, "acc_norm": 0.7872933678550089, "acc_norm_stderr": 0.004083855139469325 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.04725815626252606, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252606 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7171052631578947, "acc_stderr": 0.03665349695640767, "acc_norm": 0.7171052631578947, "acc_norm_stderr": 0.03665349695640767 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.79, "acc_stderr": 0.040936018074033256, "acc_norm": 0.79, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7245283018867924, "acc_stderr": 0.02749566368372405, "acc_norm": 0.7245283018867924, "acc_norm_stderr": 0.02749566368372405 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8194444444444444, "acc_stderr": 0.032166008088022675, "acc_norm": 0.8194444444444444, "acc_norm_stderr": 0.032166008088022675 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.45, "acc_stderr": 0.049999999999999996, "acc_norm": 0.45, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7514450867052023, "acc_stderr": 0.03295304696818317, "acc_norm": 0.7514450867052023, "acc_norm_stderr": 0.03295304696818317 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.45098039215686275, "acc_stderr": 0.04951218252396262, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.04951218252396262 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.82, "acc_stderr": 0.03861229196653695, "acc_norm": 0.82, "acc_norm_stderr": 0.03861229196653695 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7106382978723405, "acc_stderr": 0.02964400657700962, "acc_norm": 0.7106382978723405, "acc_norm_stderr": 0.02964400657700962 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6896551724137931, "acc_stderr": 0.03855289616378949, "acc_norm": 0.6896551724137931, "acc_norm_stderr": 0.03855289616378949 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.5952380952380952, "acc_stderr": 0.025279850397404904, "acc_norm": 0.5952380952380952, "acc_norm_stderr": 0.025279850397404904 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5873015873015873, "acc_stderr": 0.04403438954768177, "acc_norm": 0.5873015873015873, "acc_norm_stderr": 0.04403438954768177 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8483870967741935, "acc_stderr": 0.02040261665441676, "acc_norm": 0.8483870967741935, "acc_norm_stderr": 0.02040261665441676 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5714285714285714, "acc_stderr": 0.034819048444388045, "acc_norm": 0.5714285714285714, "acc_norm_stderr": 0.034819048444388045 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.81, "acc_stderr": 0.039427724440366255, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366255 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7757575757575758, "acc_stderr": 0.03256866661681102, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.03256866661681102 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8585858585858586, "acc_stderr": 0.02482590979334333, "acc_norm": 0.8585858585858586, "acc_norm_stderr": 0.02482590979334333 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.927461139896373, "acc_stderr": 0.01871899852067817, "acc_norm": 0.927461139896373, "acc_norm_stderr": 0.01871899852067817 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7615384615384615, "acc_stderr": 0.021606294494647727, "acc_norm": 0.7615384615384615, "acc_norm_stderr": 0.021606294494647727 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3888888888888889, "acc_stderr": 0.029723278961476664, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.029723278961476664 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.8109243697478992, "acc_stderr": 0.025435119438105353, "acc_norm": 0.8109243697478992, "acc_norm_stderr": 0.025435119438105353 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.4105960264900662, "acc_stderr": 0.04016689594849927, "acc_norm": 0.4105960264900662, "acc_norm_stderr": 0.04016689594849927 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8587155963302753, "acc_stderr": 0.01493386898702808, "acc_norm": 0.8587155963302753, "acc_norm_stderr": 0.01493386898702808 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.6851851851851852, "acc_stderr": 0.03167468706828979, "acc_norm": 0.6851851851851852, "acc_norm_stderr": 0.03167468706828979 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8578431372549019, "acc_stderr": 0.024509803921568617, "acc_norm": 0.8578431372549019, "acc_norm_stderr": 0.024509803921568617 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8227848101265823, "acc_stderr": 0.024856364184503228, "acc_norm": 0.8227848101265823, "acc_norm_stderr": 0.024856364184503228 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.7354260089686099, "acc_stderr": 0.029605103217038332, "acc_norm": 0.7354260089686099, "acc_norm_stderr": 0.029605103217038332 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8015267175572519, "acc_stderr": 0.034981493854624714, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.034981493854624714 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8347107438016529, "acc_stderr": 0.03390780612972776, "acc_norm": 0.8347107438016529, "acc_norm_stderr": 0.03390780612972776 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7777777777777778, "acc_stderr": 0.040191074725573483, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.040191074725573483 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.754601226993865, "acc_stderr": 0.03380939813943354, "acc_norm": 0.754601226993865, "acc_norm_stderr": 0.03380939813943354 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5892857142857143, "acc_stderr": 0.04669510663875192, "acc_norm": 0.5892857142857143, "acc_norm_stderr": 0.04669510663875192 }, "harness|hendrycksTest-management|5": { "acc": 0.8349514563106796, "acc_stderr": 0.03675668832233188, "acc_norm": 0.8349514563106796, "acc_norm_stderr": 0.03675668832233188 }, "harness|hendrycksTest-marketing|5": { "acc": 0.9017094017094017, "acc_stderr": 0.019503444900757567, "acc_norm": 0.9017094017094017, "acc_norm_stderr": 0.019503444900757567 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8390804597701149, "acc_stderr": 0.013140225515611729, "acc_norm": 0.8390804597701149, "acc_norm_stderr": 0.013140225515611729 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7543352601156069, "acc_stderr": 0.023176298203992, "acc_norm": 0.7543352601156069, "acc_norm_stderr": 0.023176298203992 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.38100558659217876, "acc_stderr": 0.016242028834053616, "acc_norm": 0.38100558659217876, "acc_norm_stderr": 0.016242028834053616 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.761437908496732, "acc_stderr": 0.02440439492808787, "acc_norm": 0.761437908496732, "acc_norm_stderr": 0.02440439492808787 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7845659163987139, "acc_stderr": 0.023350225475471442, "acc_norm": 0.7845659163987139, "acc_norm_stderr": 0.023350225475471442 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7654320987654321, "acc_stderr": 0.023576881744005723, "acc_norm": 0.7654320987654321, "acc_norm_stderr": 0.023576881744005723 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5567375886524822, "acc_stderr": 0.029634838473766002, "acc_norm": 0.5567375886524822, "acc_norm_stderr": 0.029634838473766002 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.48370273794002605, "acc_stderr": 0.012763450734699814, "acc_norm": 0.48370273794002605, "acc_norm_stderr": 0.012763450734699814 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6911764705882353, "acc_stderr": 0.028064998167040094, "acc_norm": 0.6911764705882353, "acc_norm_stderr": 0.028064998167040094 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.7058823529411765, "acc_stderr": 0.0184334276494019, "acc_norm": 0.7058823529411765, "acc_norm_stderr": 0.0184334276494019 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7454545454545455, "acc_stderr": 0.041723430387053825, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.041723430387053825 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.746938775510204, "acc_stderr": 0.027833023871399683, "acc_norm": 0.746938775510204, "acc_norm_stderr": 0.027833023871399683 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8656716417910447, "acc_stderr": 0.024112678240900794, "acc_norm": 0.8656716417910447, "acc_norm_stderr": 0.024112678240900794 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.9, "acc_stderr": 0.030151134457776334, "acc_norm": 0.9, "acc_norm_stderr": 0.030151134457776334 }, "harness|hendrycksTest-virology|5": { "acc": 0.536144578313253, "acc_stderr": 0.038823108508905954, "acc_norm": 0.536144578313253, "acc_norm_stderr": 0.038823108508905954 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8304093567251462, "acc_stderr": 0.028782108105401705, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.028782108105401705 }, "harness|truthfulqa:mc|0": { "mc1": 0.27050183598531213, "mc1_stderr": 0.015550778332842892, "mc2": 0.4225455721872872, "mc2_stderr": 0.014721446205323074 }, "harness|winogrande|5": { "acc": 0.7719021310181531, "acc_stderr": 0.011793015817663588 }, "harness|gsm8k|5": { "acc": 0.4981046247156937, "acc_stderr": 0.013772385765569753 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). 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BatsResearch/ctga-v1
--- configs: - config_name: default data_files: - path: train/*.arrow split: train task_categories: - text-generation language: - en size_categories: - 1M<n<10M pretty_name: conditional task generation with attributes --- # Dataset Card for ctga-v1 ## Dataset Details `ctga-v1` or conditional task generation with attributes is a new dataset created by remixing existing instruction tuning datasets ([P3](https://github.com/bigscience-workshop/promptsource)) to train [Bonito](https://huggingface.co/BatsResearch/bonito-v1). ```python3 from datasets import load_dataset dataset = load_dataset("BatsResearch/ctga-v1") ``` ### Dataset Description - **Repository:** [Github Repo](https://github.com/BatsResearch/bonito) - **Paper:** [Arxiv](TODO) - **Point of Contact:** [Nihal V. Nayak](mailto:nnayak2@cs.brown.edu) ## Dataset Creation The dataset is derived from [P3](https://github.com/bigscience-workshop/promptsource) by annotating 323 prompt templates from 39 datasets with 16 task types. The prompt templates in P3 are remixed to create the meta-templates, which, in turn, generate the training examples. The meta-template input has a task type (<|tasktype|>) as an attribute followed by the unannotated text or context (<|context|>). The output of the meta-template comprises the attributed task with the prompt or task description and the context ({context}) followed by a pipe symbol (<|pipe|>) and the solution to the task. We use the <|pipe|> symbol to separate the instruction and response pair that is used for adapting the downstream model. ### Data Instances Each data instance contains the following features: _context_, _task_input_ _task_output_ _dataset_ _dataset_config_ _task_type_ _input_ and _output_. The (_input_, _output_) is the pair we used to train Bonito model. ### Data Fields - 'context': input context - 'task_input': prompted input without context - 'task_output': corrosponding output - 'dataset': source dataset - 'dataset_config': source dataset configuration - 'task_type': corrsponding task type - 'input': reformatted input - 'output': reformatted output ### Source Data All the datasets are sourced from the datasets library. - Extractive Question Answering & Question Generation - adversarial_qa/dbert - adversarial_qa/dbidaf - adversarial_qa/droberta - duorc/ParaphraseRC - duorc/SelfRC - squad - Topic Classification - ag_news - dbpedia_14 - hellaswag - duorc/ParaphraseRC - duorc/SelfRC - squad - Sentiment Analysis - amazon_polarity - imdb - rotten_tomatoes - yelp_review_full - Natural Language Inference - anli - super_glue/cb - Multiple-Choice Question Answering - app_reviews - cosmos_qa - dream - qasc - quail - quartz - race/all - social_i_qa - super_glue/boolq - super_glue/record - wiki_hop/original - Text Generation - app_reviews - cnn_dailymail/3.0.0 - dream - duorc/ParaphraseRC - duorc/SelfRC - gigaword - samsum - Summarization - cnn_dailymail/3.0.0 - duorc/ParaphraseRC - duorc/SelfRC - gigaword - multi_newspaws/labeled_final - samsum - xsum - Paraphrase Generation & Identification - glue/mrpc - multi_newspaws/labeled_final - Yes-No Question Answering - race/all - social_i_qa - super_glue/boolq - Sentence Completion - hellaswag - super_glue/copa - Textual Entailment - super_glue/rte - Word Sense Disambiguation - super_glue/wic - Coreference Resolution - super_glue/wsc.fixed ## Citation <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** ``` @article{bonito:arxiv24, Author = {Nihal V. Nayak and Yiyang Nan and Avi Trost and Stephen H. Bach}, Title = {Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation}, Volume = {arXiv:2402.18334 [cs.CL]}, Year = {2024}} ```
kaleemWaheed/twitter_dataset_1712991169
--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 235247 num_examples: 615 download_size: 85946 dataset_size: 235247 configs: - config_name: default data_files: - split: train path: data/train-* ---
mteb/cqadupstack-android
--- language: - en multilinguality: - monolingual task_categories: - text-retrieval source_datasets: - cqadupstack-android task_ids: - document-retrieval config_names: - corpus tags: - text-retrieval dataset_info: - config_name: default features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: test num_bytes: 43411 num_examples: 1696 - config_name: corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 14044469 num_examples: 22998 - config_name: queries features: - name: _id dtype: string - name: text dtype: string splits: - name: queries num_bytes: 45157 num_examples: 699 configs: - config_name: default data_files: - split: test path: qrels/test.jsonl - config_name: corpus data_files: - split: corpus path: corpus.jsonl - config_name: queries data_files: - split: queries path: queries.jsonl ---
seanghay/khPOS
--- license: cc-by-nc-sa-4.0 dataset_info: features: - name: id dtype: string - name: tokens sequence: string - name: pos_tags sequence: class_label: names: '0': AB '1': AUX '2': CC '3': CD '4': DBL '5': DT '6': ETC '7': IN '8': JJ '9': KAN '10': M '11': NN '12': PA '13': PN '14': PRO '15': QT '16': RB '17': RPN '18': SYM '19': UH '20': VB '21': VB_JJ '22': VCOM splits: - name: train num_bytes: 3569524 num_examples: 12000 download_size: 2372205 dataset_size: 3569524 task_categories: - text-classification - text-generation language: - km pretty_name: Khmer Part-of-Speech Corpus for Khmer NLP Research and Developments size_categories: - 10K<n<100K --- > I am not the author of this dataset. [View on GitHub](https://github.com/ye-kyaw-thu/khPOS). # khPOS (draft released 1.0) khPOS (Khmer Part-of-Speech) Corpus for Khmer NLP Research and Developments ## Lincense Creative Commons Attribution-NonCommercial-Share Alike 4.0 International (CC BY-NC-SA 4.0) License [Details Info of License](https://creativecommons.org/licenses/by-nc-sa/4.0/) ## Introduction The khPOS Corpus (Khmer POS Corpus) is a 12,000 sentences (25,626 words) manually word segmented and POS tagged corpus developed for Khmer language NLP research and developments. We collected Khmer sentences from websites that include various area such as economics, news, politics. Moreover it is also contained some student list and voter list of national election committee of Cambodia. The average number of words per sentence in the whole corpus is 10.75. Here, some symbols such as "។" (Khmer sign Khan), "៖" (Khmer sign Camnuc pii kuuh), "-", "?", "\[", "\]" etc. also counted as words. The shotest sentence contained only 1 word and longest sentence contained 169 words as follows (here, line number : Khmer sentence): 1814 : " ម៉ែ ឥត មាន ស្អប់_ខ្ពើម ឪពុក កូន ឯង ទេ ម៉ែ តែង នឹក មក កូន នឹង ឪពុក ឯង ពុំ មាន ភ្លេច ព្រម_ទាំង អ្នក\~ភូមិ ផង របង ជាមួយ ឯង ទៀត ដែល ម្ដាយ ធ្លាប់ នៅ ជាមួយ គេ ប៉ុន្តែ ម៉ែ ជាតិ ជា ទេព_ធីតា ពុំ អាច នៅ ជាមួយ មនុស្ស_លោក បាន យូរ ទេ រាល់ ថ្ងៃ ម៉ែ តែង ទៅ បំពេញ កិច្ច នៅ ចំពោះ មុខ ព្រះ\~ភក្ត្រ ព្រះ\~ឥន្ទ្រាធិរាជ គឺ សុំ អង្វរ ឲ្យ ព្រះ\~អង្គ ប្រទាន ពរ ដល់ កូន ឯង និង ឪពុក កូន ឯង កុំ បី ខាន មិន តែ ប៉ុណ្ណោះ ម្ដាយ បាន ទាំង ទូល សុំ ព្រះ\~ឥន្ទ្រ ឲ្យ ព្រះ\~អង្គ មេត្តា ផ្សាយ នូវ សុភ_មង្គល ដល់ មនុស្ស នៅ ឋាន នេះ ទូទៅ ផង កូន_ប្រុស ពន្លក ម្ដាយ ! ម្ដាយ ពុំ អាច នៅ ជាមួយ_នឹង កូន បាន ទៀត តែ ម្ដាយ យក កូន ឯង ទៅ លេង ប្រាសាទ ម្ដាយ ឯ ឋាន លើ មួយ ដង ម្ដាយ នឹង នាំ កូន ឯង ទៅ មុជ_ទឹក ក្នុង អាង ក្រអូប នៅ_ក្នុង សួន ព្រះ\~ឥន្ទ្រ ហើយ ទឹក នោះ នឹង ជម្រះ កាយ កូន ឯង ឲ្យ បាត់ ធំ ក្លិន មនុស្ស_លោក បន្ទាប់_ពី នោះ មក ម្ដាយ នឹង នាំ កូន ឯង ចូល ទៅ_ក្នុង ប្រាសាទ រួច នាំ កូន ឯង ទៅ ថ្វាយ_បង្រះ\~ឥន្ទ្រ " ។ ## Word Segmentation In Khmer texts, words composed of single or multiple syllables are usually not separated by white space. Spaces are used for easier reading and generally put between phrases, but there are no clear rules for using spaces in Khmer language. Therefore, word segmentation is a necessary prerequisite for POS tagging. Four classes of segment (word) types were observed during the manual segmentation of the corpus of Khmer text, each representing a different type of word, these were: - Word Type 1: Single Words - Word Type 2: Compound Words - Word Type 3: Compound Words with Prefix - Word Type 4: Compound Words with Suffix For the detail information of the word segmentation rules and how we built a Khmer word segmentation model, please refer to our published paper (see Publiation Section). ## POS Tags Part of speech is a category to which a word is assigned in accordance with its syntactic functions. In Khmer grammatical system, many linguists has defined their own POS according to their trend of research. Even though, many books are published, there are no standard agreement yet especially on number and name of POS tags. Comparing to English language, some English POS are not used in Khmer language, such as gerund, comparative and superlative adjectives, particle, etc. Based on CHOUN NATH dictionary, Khmer POS Tag set is defined. Some new POS tags that are not defined in the dictionary are added for considering word disambiguation task. Unlike English grammar, some Khmer sentences consist of more than one verb. The definitions and descriptions of POS tags are presented in detail as follow: 1. Abbreviation (AB): For example, គម or គ.ម for kilometer (km), អសប for United Nation (UN), ពស or ព.ស for ពុទ សក ជ (Buddhism era), នប or ន.ប for នគរ ល (police), អហ or អ.ហ for វុធហត (Police Military) etc. 2. Adjective is a word used to modify or describe the noun. Adjective is usually at the right hand side of noun. There are very few adjectives that their positions are before noun. ក្រហម (red), កន្លះ (half), ប្លែក (strange), តូច (small), ល្អ (good), ស្អាត (beautiful) etc. 3. Adverb (RB): An adverb is a word that is used to modify verb, adjective or another adverb. For example, ណាស់ (very), ពុំ (not), ទើប (just), ពេកក្រៃ (very), ហើយ (already) etc. 4. Auxiliary Verb (AUX): Only three groups of verbs are tagged as auxiliary verb that used to make tense. - Past form: បាន or មាន + Verb - Progressive form: កំពុង + Verb - Future form: នឹង + Verb 5. Cardinal Number (CD): A cardinal number is a word or a number that denoting the quality. For example, បី (three), ១០០ (100), ចតុ (four), ពាន់ (thousand), លាន (million) etc. 6. Conjunction (CC): Conjunction is a word to connect between words, phrases, and sentences. ក៏ប៉ុន្តែ (but), ពីព្រោះ (because), ដ្បិត (for, since), ទម្រាំតែ (until), ពុំនោះសោត (otherwise), បើ (if) etc. 7. Currency (CUR): CUR for currency symbol such as: ៛, \$, ₤, € etc. 8. Determiner Pronoun (DT): In Khmer grammar, determiners are classified under pronoun unlike English. It is used to tell location or/and uncertainty of noun. They are equivalent to English words: this, that, those, these, all, every, each, some etc. For example, នេះ (this), នោះ (that), ទាំងនេះ (these), ទាំងអស់ (all), នានា (various), ខ្លះ (some), សព្វ (every) etc. 9. Double Sign (DBL): Double sign (ៗ) is used to remind reader to read the previous word twice. For example, មនុស្ស/NN (people) គ្រប់/DT (every) ៗ/DBL គ្នា/PRO (person), "everybody" in English. 10. Et Cetera (ETC): ។ល។ is equal to et cetera (etc.) in English. 11. Full Stop (KAN): There are two full stops in Khmer language, ។ for sentence and ៕ for paragraph. 12. Interjection (UH): Word represents sound of animal, machine, and surprised sound. Interjections are always at the beginning of a sentence, and mostly followed by exclamation mark. For example, អូ (Oh!), ម៉េវ (Meow), អ៊ុះ (uh) etc. 13. Measure Word (M): Measure Words are classified to describe different quality corresponding class of noun. Some of these words can not be found in English. For example: ព្រះសង្គ/NN (monk) ២/CD (2) អង្គ/M (person), សំលៀកបំពាក់/NN (cloth) ១/CD (1), សម្រាប់/M (set), ឆ្កែ/NN (dog) ១/CD (1) ក្បាល/M (head) etc. 14. Noun (NN): A noun is a word or compound word that identifies a person, an animal, an object, an idea, a thing, etc. For example: ឡាន (Car), ការអភិវឌ្ឍន៍ (Development), សកម្មភាព (Action), ខ្មៅដៃ (Pencil), ទឹកកក (Ice) etc. 15. Particle (PA): We consider three types of particle and they are hesitation, response and final. For the two medial particle words ក៏ ("so, then, but" in English) and នូវ ("of, with" in English) \[1\], we consider them as RB and IN. - Hesitation Particle: ខ្ញុំ (I) គិត (think) …អ៊ើ/PA (Er. . .) មិន (not) ឃើញ (see), ("I er… don’t think so" in English) - Response Particle: អើ/PA (Hm, Ah) ខ្ញុំ (I) ដឹង (know) ហើយ (already), ("Hmm I already know" in English) - Final Particle: There are some final particles such as ណា៎, សិន and ចុះ. Example usage of ណា៎: កុំ/RB (don't) ភ្លេច/VB (forget) ណា៎/PA, ("Hmm don't forget!" in English), Example usage of សិន: ចាំ/VB (wait) បន្តិច/RB (a while) សិន/PA, Example usage of ចុះ: ទៅ/VB (go) ចុះ/PA 16. Preposition (IN): Preposition is a word or a compound word that is used to connect two different words or phrases. It indicate the place, time, possession, relation etc. For example, ចំពោះ (to), ដល់ (to), ដើម្បី (in order to), ក្នុង (in), លើ (on), រវាង (between, around) etc. 17. Pronoun (PRO): A pronoun is a word that substitutes of a noun or a noun phrase. Those words are equivalent to Englis word: I, he, she, it, we, they, them, him, her etc. For example, ខ្ញុំ (I), គាត់ (he or she), យើង (we), ពួកយើង (our group or we), ខ្ញុំបាទ (polite form of I, me), ទូលបង្គំ (I, me for conversation with royal family) etc. 18. Proper Noun (PN): A proper noun is a noun that represents of a unique thing, for example, name of person, name of place and name of date etc. For example: សុខា (Sokha) ភ្នំពេញ (Phnom Penh), ថ្ងៃអង្គារ (Tuesday), កាល់តិច (Caltex), មេគង្គ (Mekong) etc. 19. Question Word (QT): In Khmer language, តើ is mostly used in the beginning of an interrogative sentence. For example, តើ/QT អ្នក/PRO (you) ឈ្មោះ/NN (name) អ្វី/PRO (what)?, "What is your name?" in English. 20. Relative Pronoun (RPN): In Khmer language, there is only one relative pronoun. It is ដែល "that, which, where, who" in English. 21. Symbol (SYM): SYM for others sign or symbol such as: +, -, \*, \/, ៖, =, @, \#, \% etc. 22. VB\_JJ: VB\_JJ is a tag for an adjective which its original form is a Verb. Currently, there is no proposed POS tag name for such kind of Khmer words. Although we can use JJ tag, we want to clarify by using VB\_JJ POS tag for its function and also for semantic purpose. For example: - The word សម្រាប់ (for) or ដើម្បី (to) is normally removed in both written and spoken Khmer. កន្លែង/NN (place) សម្រាប់ (for) ធ្វើការ/VB\_JJ (working), office in English ម៉ាស៊ីន/NN (Machine) សម្រាប់ (for) បោក/VB\_JJ (washing) ខោអាវ/NN (cloth), washing machine in English ពួកគាត់/PRO (they) អាច/VB (can) មាន/VB (have) ការងារ/NN (work) ធ្វើ/VB\_JJ (to do) - When Khmer Relative Pronoun is removed, the verb form keep the same as it was. It must be VB\_JJ it is no longer a Verb in subbordiante clause. សិស្ស (student) ដែល (who) មាន/VB (has) ពិន្ទុ (mark) ខ្ពស់ (hight) នឹង (will) ទទួលបាន (get) អាហារូបករណ៍ (scholarship), student who has hight mark will get a scholarship in English but when ដែល who is removed, មាន/VB (has) should become មាន/VB\_JJ (having) 23. Verb (VB): Verb is a word that shows the action, even, and condition. Verb is a middle part of phrase. Normally, verb always need object and sometime it also need complement. For example, ស្តាប់ (listen), មានប្រសាសន៍ (say), ស្រលាញ់ (love), ច្រៀង (sing), បើកបរ (drive) etc. 24. Verb Complement (VCOM): Its original form is a verb, but it will turn into VCOM when two verbs in a sentence to emphasize the first verb. Especially, a compound verb is splitted by the word មិន (no or not), the first part is a verb and the second part is VCOM. For example, លក់ (sell) ដាច់/VCOM (a lot), ប្រលង (exam) មិន (no) ជាប់/VCOM (pass), ដេក/VB (sleep), មិន/RB (not) លក់/VCOM (sleep well) etc. ## Files/Scripts Corpus-draft-ver-1.0/ (**_latest version_**) **Scripts:** mk-wordtag.pl : Perl script for printing word only file, tag only file, listing compound-words etc. mk-pair.pl : Perl script for combining word file and tag file to word/tag format **Data:** data/ : Data preparation folder for incremental POS-tagging models **Models:** Two-Hours/: Incremental training (2,000 to 12,000 sentences) of 2hours annotation approach models with khPOS corpus. Running logfile: [note.txt](https://github.com/ye-kyaw-thu/khPOS/blob/master/corpus-draft-ver-1.0/model/2hours/note.txt) 3gHMM/ : Incremental training (2,000 to 12,000 sentences) of 3-gram HMM (Hidden Markov Model) models with khPOS corpus. Running logfile: [note.txt](https://github.com/ye-kyaw-thu/khPOS/blob/master/corpus-draft-ver-1.0/model/3gHMM/note.txt) crf/ : Incremental training (2,000 to 12,000 sentences) of CRF POS-tagging models with khPOS corpus. Running logfile: [note.txt](https://github.com/ye-kyaw-thu/khPOS/blob/master/corpus-draft-ver-1.0/model/crf/note.txt) kytea/ : Incremental training (2,000 to 12,000 sentences) of L2 regularized SVM models with khPOS corpus. Running logfile: [note](https://github.com/ye-kyaw-thu/khPOS/blob/master/corpus-draft-ver-1.0/model/kytea/note.txt) maxent/ : Incremental training (2,000 to 12,000 sentences) of Maximum Entrophy models with khPOS corpus. Running logfile: [note.txt](https://github.com/ye-kyaw-thu/khPOS/blob/master/corpus-draft-ver-1.0/model/maxent/note.txt) rdr/ : Incremental training (2,000 to 12,000 sentences) of RDR (Ripple Down Rule-based) models with khPOS corpus. Running logfile: [note.txt](https://github.com/ye-kyaw-thu/khPOS/blob/master/corpus-draft-ver-1.0/model/rdr/note.txt) ## Development and Support Contributors Vichet Chea [Ye Kyaw Thu](https://sites.google.com/site/yekyawthunlp/) ## Acknowledgements We would like to express our gratitude to Mr. Sorn Kea and Miss Leng Greyhuy for their help in POS tagging 12,100 sentences of Khmer Corpus manually. ## Publication *Please cite following paper:* Ye Kyaw Thu, Vichet Chea, Yoshinori Sagisaka, "Comparison of Six POS Tagging Methods on 12K Sentences Khmer Language POS Tagged Corpus", In the first Regional Conference on Optical character recognition and Natural language processing technologies for ASEAN languages (ONA 2017), December 7-8, 2017, Phnom Penh, Cambodia. [paper](https://github.com/ye-kyaw-thu/khPOS/blob/master/khpos.pdf) ## Reference Vichet Chea, Ye Kyaw Thu, Chenchen Ding, Masao Utiyama, Andrew Finch and Eiichiro Sumita, "Khmer Word Segmentation Using Conditional Random Fields", In Khmer Natural Language Processing 2015 (KNLP2015), December 4, 2015, Phnom Penh, Cambodia. [paper](http://khmernlp.org/2015/wp-content/uploads/2016/09/Paper-Khmer-Word-Segmentation-Using-.pdf) Madeline Elizabeth. Ehrman, Kem Sos, Foreign Service Institute (U.S.), and Defense Language Institute (U.S.). Contemporary Cambodian: grammatical sketch, by Madeline E. Ehrman, with the assistance of Kem Sos. Foreign Service Institute, Dept. of State; \[for sale by the Supt. of Docs., U.S. Govt. Print. O .\] Washington, 1972.