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BlazeLlama/euclid_elements_eng
BlazeLlama
2023-10-04T18:52:14Z
0
0
null
[ "license:apache-2.0", "region:us" ]
2023-10-04T18:52:14Z
2023-10-04T15:11:55.000Z
2023-10-04T15:11:55
--- license: apache-2.0 ---
[ -0.1285335123538971, -0.1861683875322342, 0.6529128551483154, 0.49436232447624207, -0.19319400191307068, 0.23607441782951355, 0.36072009801864624, 0.05056373029947281, 0.5793656706809998, 0.7400146722793579, -0.650810182094574, -0.23784008622169495, -0.7102247476577759, -0.0478255338966846...
null
null
null
null
null
null
null
null
null
null
null
null
null
BangumiBase/chainsawman
BangumiBase
2023-10-04T16:15:05Z
0
0
null
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
2023-10-04T16:15:05Z
2023-10-04T15:12:59.000Z
2023-10-04T15:12:59
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Chainsaw Man This is the image base of bangumi Chainsaw Man, we detected 16 characters, 1264 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 ...
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null
null
null
null
null
null
null
null
null
null
null
null
null
derekiya/sql-create-context-llama2-78k
derekiya
2023-10-05T00:03:58Z
0
0
null
[ "region:us" ]
2023-10-05T00:03:58Z
2023-10-04T15:13:55.000Z
2023-10-04T15:13:55
This is dataset contain (78k samples) of the excellent [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context/viewer/default/train) and changed to [derekiya/sql-create-context-llama2-78k](https://huggingface.co/datasets/derekiya/sql-create-context-llama2-78k/viewer/default/train) dataset, p...
[ -0.2955343425273895, -0.6189680695533752, 0.27756455540657043, 0.4889328181743622, -0.6409479975700378, -0.16161920130252838, -0.10982241481542587, -0.07727818936109543, 0.5977528095245361, 0.5488157868385315, -1.115159511566162, -0.4768729507923126, -0.21940477192401886, 0.202754706144332...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-9f206e-47938145232
autoevaluate
2023-10-05T01:08:44Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-05T01:08:44Z
2023-10-04T15:15:05.000Z
2023-10-04T15:15:05
--- type: predictions tags: - autotrain - evaluation datasets: - kmfoda/booksum eval_info: task: summarization model: pszemraj/long-t5-tglobal-base-16384-booksci-summary-v1 metrics: [] dataset_name: kmfoda/booksum dataset_config: kmfoda--booksum dataset_split: test col_mapping: text: chapter targe...
[ -0.4058564603328705, -0.07620459794998169, 0.2593640983104706, 0.17292051017284393, -0.22076939046382904, -0.028232505545020103, 0.022475499659776688, -0.3885009288787842, 0.051913220435380936, 0.3886241018772125, -0.9509486556053162, -0.41507863998413086, -0.6927512288093567, -0.106658250...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-ccdv__arxiv-summarization-section-002db0-47978145233
autoevaluate
2023-10-04T15:22:46Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:22:46Z
2023-10-04T15:15:07.000Z
2023-10-04T15:15:07
--- type: predictions tags: - autotrain - evaluation datasets: - ccdv/arxiv-summarization eval_info: task: summarization model: adityashukzy/bart-base-new-finetuned-arxiv metrics: [] dataset_name: ccdv/arxiv-summarization dataset_config: section dataset_split: validation col_mapping: text: article ...
[ -0.49734196066856384, -0.2055988609790802, 0.1354808509349823, 0.10935310274362564, -0.10687322914600372, -0.11525937169790268, 0.08166556060314178, -0.35841330885887146, 0.20253969728946686, 0.4900607466697693, -0.9761756658554077, -0.24355533719062805, -0.5525986552238464, -0.03041306883...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-52cdb7-47832145226
autoevaluate
2023-10-04T15:25:06Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:25:06Z
2023-10-04T15:16:05.000Z
2023-10-04T15:16:05
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: ainize/bart-base-cnn metrics: ['accuracy', 'rouge', 'mse'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # ...
[ -0.5137404203414917, -0.29434242844581604, 0.014498370699584484, 0.16228869557380676, -0.15055398643016815, -0.1376248449087143, -0.004273383878171444, -0.37673747539520264, 0.2421238124370575, 0.37314659357070923, -0.9275780916213989, -0.21212811768054962, -0.7065983414649963, -0.07447517...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-conll2003-conll2003-ce0414-48015145234
autoevaluate
2023-10-04T15:17:27Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:17:27Z
2023-10-04T15:16:09.000Z
2023-10-04T15:16:09
--- type: predictions tags: - autotrain - evaluation datasets: - conll2003 eval_info: task: entity_extraction model: alvarobartt/distilbert-base-cased-ner metrics: [] dataset_name: conll2003 dataset_config: conll2003 dataset_split: test col_mapping: tokens: tokens tags: ner_tags --- # Dataset Card...
[ -0.35905852913856506, -0.23384733498096466, 0.1659608781337738, 0.13540692627429962, -0.09598992019891739, 0.08099060505628586, 0.1767512708902359, -0.3278784453868866, 0.17762570083141327, 0.3463055491447449, -0.9506429433822632, -0.2541158199310303, -0.7449094653129578, -0.02529914118349...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-conll2003-conll2003-b4bc7c-48084145235
autoevaluate
2023-10-04T15:18:51Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:18:51Z
2023-10-04T15:17:33.000Z
2023-10-04T15:17:33
--- type: predictions tags: - autotrain - evaluation datasets: - conll2003 eval_info: task: entity_extraction model: alvarobartt/distilbert-base-cased-ner metrics: [] dataset_name: conll2003 dataset_config: conll2003 dataset_split: test col_mapping: tokens: tokens tags: ner_tags --- # Dataset Card...
[ -0.35905852913856506, -0.23384733498096466, 0.1659608781337738, 0.13540692627429962, -0.09598992019891739, 0.08099060505628586, 0.1767512708902359, -0.3278784453868866, 0.17762570083141327, 0.3463055491447449, -0.9506429433822632, -0.2541158199310303, -0.7449094653129578, -0.02529914118349...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-9f206e-47938145231
autoevaluate
2023-10-04T22:46:10Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T22:46:10Z
2023-10-04T15:19:34.000Z
2023-10-04T15:19:34
--- type: predictions tags: - autotrain - evaluation datasets: - kmfoda/booksum eval_info: task: summarization model: pszemraj/led-large-book-summary-continued metrics: [] dataset_name: kmfoda/booksum dataset_config: kmfoda--booksum dataset_split: test col_mapping: text: chapter target: summary_te...
[ -0.44611144065856934, -0.08127475529909134, 0.22327834367752075, 0.13446669280529022, -0.22867777943611145, -0.12308422476053238, -0.026832865551114082, -0.19806374609470367, 0.07211742550134659, 0.5097495913505554, -0.9697901606559753, -0.3233851492404938, -0.6535130739212036, -0.05411612...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-financial_phrasebank-sentences_allagree-c1bf87-48200145240
autoevaluate
2023-10-04T15:20:20Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:20:20Z
2023-10-04T15:19:53.000Z
2023-10-04T15:19:53
--- type: predictions tags: - autotrain - evaluation datasets: - financial_phrasebank eval_info: task: multi_class_classification model: ahmedrachid/FinancialBERT-Sentiment-Analysis metrics: ['bleu', 'google_bleu'] dataset_name: financial_phrasebank dataset_config: sentences_allagree dataset_split: train ...
[ -0.3561086654663086, -0.29016634821891785, 0.19545753300189972, 0.335152804851532, 0.004773104563355446, 0.06773941963911057, -0.03954004868865013, -0.35036981105804443, 0.012243841774761677, 0.40231430530548096, -0.8267533183097839, -0.2752251923084259, -0.738958477973938, -0.050180919468...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xglue-mlqa-a70280-48375145242
autoevaluate
2023-10-04T15:38:23Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:38:23Z
2023-10-04T15:20:26.000Z
2023-10-04T15:20:26
--- type: predictions tags: - autotrain - evaluation datasets: - xglue eval_info: task: summarization model: csebuetnlp/mT5_m2o_arabic_crossSum metrics: ['bleu', 'f1', 'accuracy'] dataset_name: xglue dataset_config: mlqa dataset_split: test.ar col_mapping: text: context target: question --- # Data...
[ -0.5636727213859558, -0.12278299033641815, 0.11803930252790451, 0.18334299325942993, -0.06130284070968628, 0.027192987501621246, 0.12808552384376526, -0.4336756467819214, 0.18211914598941803, 0.41555094718933105, -0.9895040988922119, -0.3172546327114105, -0.7544524073600769, -0.10703898966...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xglue-mlqa-02a2ef-48376145243
autoevaluate
2023-10-04T15:48:14Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:48:14Z
2023-10-04T15:20:39.000Z
2023-10-04T15:20:39
--- type: predictions tags: - autotrain - evaluation datasets: - xglue eval_info: task: summarization model: google/roberta2roberta_L-24_bbc metrics: ['bleu', 'f1', 'accuracy'] dataset_name: xglue dataset_config: mlqa dataset_split: test.ar col_mapping: text: context target: question --- # Dataset...
[ -0.5000172853469849, -0.21915015578269958, 0.2161548137664795, 0.06992107629776001, -0.015080797486007214, -0.018696460872888565, 0.1325295865535736, -0.4058428704738617, 0.24815674126148224, 0.3960653841495514, -1.0917778015136719, -0.2086755782365799, -0.6691605448722839, -0.169713184237...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-f2f24c-49139145269
autoevaluate
2023-10-04T15:28:36Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:28:36Z
2023-10-04T15:27:44.000Z
2023-10-04T15:27:44
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: 123tarunanand/roberta-base-finetuned metrics: ['bleu', 'accuracy', 'angelina-wang/directional_bias_amplification', 'bertscore', 'rouge', 'meteor'] dataset_name: adversarial_qa ...
[ -0.4964006245136261, -0.5811831951141357, 0.2754339873790741, -0.00022500823251903057, 0.1167774647474289, -0.14427782595157623, 0.15365922451019287, -0.2654941976070404, 0.051394108682870865, 0.5272309184074402, -1.0760632753372192, -0.14881780743598938, -0.5653160810470581, -0.0853020176...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-conll2003-conll2003-fb14e9-48103145236
autoevaluate
2023-10-04T15:29:27Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:29:27Z
2023-10-04T15:28:13.000Z
2023-10-04T15:28:13
--- type: predictions tags: - autotrain - evaluation datasets: - conll2003 eval_info: task: entity_extraction model: alvarobartt/distilbert-base-cased-ner metrics: [] dataset_name: conll2003 dataset_config: conll2003 dataset_split: test col_mapping: tokens: tokens tags: ner_tags --- # Dataset Card...
[ -0.35905852913856506, -0.23384733498096466, 0.1659608781337738, 0.13540692627429962, -0.09598992019891739, 0.08099060505628586, 0.1767512708902359, -0.3278784453868866, 0.17762570083141327, 0.3463055491447449, -0.9506429433822632, -0.2541158199310303, -0.7449094653129578, -0.02529914118349...
null
null
null
null
null
null
null
null
null
null
null
null
null
pop2189/document_ai
pop2189
2023-10-04T15:29:54Z
0
0
null
[ "license:apache-2.0", "region:us" ]
2023-10-04T15:29:54Z
2023-10-04T15:28:35.000Z
2023-10-04T15:28:35
--- license: apache-2.0 ---
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
null
null
null
null
null
null
null
null
null
null
null
null
null
albertvillanova/vbsv-dataset
albertvillanova
2023-10-04T15:42:44Z
0
0
null
[ "region:us" ]
2023-10-04T15:42:44Z
2023-10-04T15:34:29.000Z
2023-10-04T15:34:29
--- configs: - config_name: default data_files: "dataset.csv" sep: "|" ---
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-acronym_identification-default-9ff9c1-50406145297
autoevaluate
2023-10-04T15:35:59Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:35:59Z
2023-10-04T15:35:19.000Z
2023-10-04T15:35:19
--- type: predictions tags: - autotrain - evaluation datasets: - acronym_identification eval_info: task: entity_extraction model: lewtun/autotrain-acronym-identification-7324788 metrics: ['bertscore'] dataset_name: acronym_identification dataset_config: default dataset_split: validation col_mapping: t...
[ -0.35850754380226135, -0.3013102412223816, 0.11082427948713303, 0.19501976668834686, -0.21564002335071564, 0.06670654565095901, 0.14166434109210968, -0.5322291254997253, 0.23049260675907135, 0.15238197147846222, -0.9285368323326111, -0.2919444143772125, -0.7932156920433044, 0.0422432981431...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-scientific_papers-pubmed-c3b6df-51381145313
autoevaluate
2023-10-06T04:45:27Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-06T04:45:27Z
2023-10-04T15:36:28.000Z
2023-10-04T15:36:28
--- type: predictions tags: - autotrain - evaluation datasets: - scientific_papers eval_info: task: summarization model: Samuel-Fipps/t5-efficient-large-nl36_fine_tune_sum_V2 metrics: ['accuracy', 'frugalscore'] dataset_name: scientific_papers dataset_config: pubmed dataset_split: train col_mapping: t...
[ -0.3235507011413574, -0.15230661630630493, 0.23219764232635498, 0.1824987232685089, -0.07063661515712738, -0.13981272280216217, -0.03241918981075287, -0.3969241976737976, 0.32960042357444763, 0.3927510678768158, -0.8686472773551941, -0.15923748910427094, -0.6719728708267212, 0.063881583511...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-banking77-default-080492-51746145316
autoevaluate
2023-10-04T15:37:51Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:37:51Z
2023-10-04T15:37:09.000Z
2023-10-04T15:37:09
--- type: predictions tags: - autotrain - evaluation datasets: - banking77 eval_info: task: multi_class_classification model: Laurie/bert-base-banking77-pt2 metrics: [] dataset_name: banking77 dataset_config: default dataset_split: test col_mapping: text: text target: label --- # Dataset Card for ...
[ -0.2907956540584564, -0.35155344009399414, 0.27721521258354187, 0.210401713848114, -0.052616991102695465, -0.0489150770008564, -0.01032725628465414, -0.5601286888122559, -0.17243017256259918, 0.48594412207603455, -0.7524699568748474, -0.25744763016700745, -0.8497396111488342, -0.0286452025...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-banking77-default-2a251d-51750145317
autoevaluate
2023-10-04T15:38:06Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:38:06Z
2023-10-04T15:37:36.000Z
2023-10-04T15:37:36
--- type: predictions tags: - autotrain - evaluation datasets: - banking77 eval_info: task: multi_class_classification model: Laurie/bert-base-banking77-pt2 metrics: ['rouge'] dataset_name: banking77 dataset_config: default dataset_split: test col_mapping: text: text target: label --- # Dataset Ca...
[ -0.2907956540584564, -0.35155344009399414, 0.27721521258354187, 0.210401713848114, -0.052616991102695465, -0.0489150770008564, -0.01032725628465414, -0.5601286888122559, -0.17243017256259918, 0.48594412207603455, -0.7524699568748474, -0.25744763016700745, -0.8497396111488342, -0.0286452025...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-90e029-50827145304
autoevaluate
2023-10-04T17:14:41Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:14:41Z
2023-10-04T15:38:35.000Z
2023-10-04T15:38:35
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: 0x70DA/pegasus-cnn_dailymail metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for A...
[ -0.4700307548046112, -0.24792428314685822, 0.10570278763771057, 0.18905149400234222, -0.25810277462005615, -0.1736120581626892, 0.05628989636898041, -0.4183756411075592, 0.292267382144928, 0.4028295576572418, -1.0053942203521729, -0.28612464666366577, -0.7382745146751404, -0.09008250385522...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-0e2388-51771145321
autoevaluate
2023-10-04T15:39:54Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:39:54Z
2023-10-04T15:38:44.000Z
2023-10-04T15:38:44
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: zhangfx7/deberta-base-finetuned-squad-pruned0.1 metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: c...
[ -0.4921267330646515, -0.5477424263954163, 0.22663268446922302, 0.09701576083898544, 0.1269247680902481, -0.06971129775047302, 0.21209095418453217, -0.22043807804584503, 0.05443933233618736, 0.4358066916465759, -1.1598247289657593, -0.11445579677820206, -0.45215749740600586, -0.086158879101...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-c51db7-51930145325
autoevaluate
2023-10-04T15:47:59Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:47:59Z
2023-10-04T15:39:32.000Z
2023-10-04T15:39:32
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: t5-base metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for AutoTrain Evaluator T...
[ -0.3813632130622864, -0.23030249774456024, 0.12487858533859253, 0.17934530973434448, -0.2264784276485443, -0.013515099883079529, 0.057480547577142715, -0.3864690065383911, 0.16749408841133118, 0.3368658125400543, -0.9768913388252258, -0.3570083677768707, -0.7783617973327637, -0.05268906801...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-c51db7-51930145326
autoevaluate
2023-10-04T15:42:50Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:42:50Z
2023-10-04T15:39:35.000Z
2023-10-04T15:39:35
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: ubikpt/t5-small-finetuned-cnn metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for ...
[ -0.4579164981842041, -0.24244701862335205, 0.06565577536821365, 0.16284489631652832, -0.23716773092746735, -0.17194919288158417, -0.007879925891757011, -0.35166704654693604, 0.1251525580883026, 0.3454134166240692, -0.867767870426178, -0.21230405569076538, -0.6496978998184204, -0.1199093088...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-c51db7-51930145327
autoevaluate
2023-10-04T15:43:40Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:43:40Z
2023-10-04T15:40:24.000Z
2023-10-04T15:40:24
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: Alred/t5-small-finetuned-summarization-cnn metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Data...
[ -0.4426584839820862, -0.2968420684337616, 0.07633120566606522, 0.15132969617843628, -0.1777036488056183, -0.18424759805202484, -0.011571303009986877, -0.39799442887306213, 0.21316732466220856, 0.29769375920295715, -0.8938470482826233, -0.29956167936325073, -0.7091565132141113, -0.037756744...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-0e2388-51771145320
autoevaluate
2023-10-04T15:45:53Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:45:53Z
2023-10-04T15:44:49.000Z
2023-10-04T15:44:49
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: Firat/roberta-base-finetuned-squad metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: context qu...
[ -0.5157135128974915, -0.5436180830001831, 0.23806586861610413, 0.03453745320439339, 0.16750706732273102, 0.055478181689977646, 0.16578824818134308, -0.298652321100235, 0.016403771936893463, 0.43971553444862366, -1.1623930931091309, -0.13328829407691956, -0.5194801092147827, -0.110712014138...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-776ce2-51767145318
autoevaluate
2023-10-04T15:48:40Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:48:40Z
2023-10-04T15:47:37.000Z
2023-10-04T15:47:37
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: Firat/roberta-base-finetuned-squad metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: context qu...
[ -0.5157135128974915, -0.5436180830001831, 0.23806586861610413, 0.03453745320439339, 0.16750706732273102, 0.055478181689977646, 0.16578824818134308, -0.298652321100235, 0.016403771936893463, 0.43971553444862366, -1.1623930931091309, -0.13328829407691956, -0.5194801092147827, -0.110712014138...
null
null
null
null
null
null
null
null
null
null
null
null
null
fimu-docproc-research/CIVQA_EasyOCR_Train
fimu-docproc-research
2023-11-21T20:47:38Z
0
0
null
[ "language:cs", "license:mit", "finance", "region:us" ]
2023-11-21T20:47:38Z
2023-10-04T15:48:08.000Z
2023-10-04T15:48:08
--- dataset_info: features: - name: id dtype: string - name: words sequence: string - name: answers dtype: string - name: bboxes sequence: sequence: float32 - name: answers_bboxes sequence: sequence: float32 - name: questions dtype: string - name: image dtype: str...
[ -0.2736701965332031, -0.09760286659002304, 0.29703277349472046, 0.43156787753105164, -0.350949227809906, 0.04306056722998619, 0.09024868905544281, -0.19823548197746277, -0.2028825432062149, 0.8381407856941223, -0.5583981871604919, -0.552971601486206, -0.14913970232009888, -0.02870838157832...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-ccdv__pubmed-summarization-section-c19ce4-53114145346
autoevaluate
2023-10-04T17:42:21Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:42:21Z
2023-10-04T15:49:42.000Z
2023-10-04T15:49:42
--- type: predictions tags: - autotrain - evaluation datasets: - ccdv/pubmed-summarization eval_info: task: summarization model: Alred/bart-base-finetuned-summarization-cnn-ver3 metrics: [] dataset_name: ccdv/pubmed-summarization dataset_config: section dataset_split: train col_mapping: text: article ...
[ -0.47840186953544617, -0.26308444142341614, 0.14578761160373688, 0.09116394817829132, -0.15374380350112915, -0.18604983389377594, -0.03012636862695217, -0.33467796444892883, 0.24516433477401733, 0.442202091217041, -0.8285089135169983, -0.25332021713256836, -0.6584451198577881, -0.017882501...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-ccdv__pubmed-summarization-section-4b477d-53190145351
autoevaluate
2023-10-05T09:09:51Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-05T09:09:51Z
2023-10-04T15:51:11.000Z
2023-10-04T15:51:11
--- type: predictions tags: - autotrain - evaluation datasets: - ccdv/pubmed-summarization eval_info: task: summarization model: 0x70DA/pegasus-cnn_dailymail metrics: [] dataset_name: ccdv/pubmed-summarization dataset_config: section dataset_split: train col_mapping: text: article target: abstract...
[ -0.4249258041381836, -0.2167576551437378, 0.15096978843212128, 0.12388644367456436, -0.2484496384859085, -0.19581381976604462, 0.031955547630786896, -0.35696181654930115, 0.29258695244789124, 0.44597330689430237, -0.957053542137146, -0.26774629950523376, -0.7053114175796509, -0.06505405157...
null
null
null
null
null
null
null
null
null
null
null
null
null
drhead/laion_hd_21M_deduped
drhead
2023-10-04T15:59:02Z
0
0
null
[ "region:us" ]
2023-10-04T15:59:02Z
2023-10-04T15:51:45.000Z
2023-10-04T15:51:45
A subset of LAION Aesthetics v2 5+, filtered to include only high resolution (1024x1024+) images, then processed to remove dead links (as of October 2023), and with embeddings recalculated using CLIP-ViT-L-patch14 which were used to both remove poor-quality image-caption matches (CLIP similarity <0.2) and to deduplicat...
[ -0.7788647413253784, -0.43023648858070374, 0.5658544301986694, -0.15597784519195557, -0.6238430142402649, -0.18448922038078308, 0.24903811514377594, -0.4524977207183838, 0.5630682706832886, 0.9614302515983582, -0.6585582494735718, -0.6464148759841919, -0.37820062041282654, 0.09163310378789...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-776ce2-51767145319
autoevaluate
2023-10-04T15:54:59Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:54:59Z
2023-10-04T15:53:51.000Z
2023-10-04T15:53:51
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: zhangfx7/deberta-base-finetuned-squad-pruned0.1 metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: c...
[ -0.4921267330646515, -0.5477424263954163, 0.22663268446922302, 0.09701576083898544, 0.1269247680902481, -0.06971129775047302, 0.21209095418453217, -0.22043807804584503, 0.05443933233618736, 0.4358066916465759, -1.1598247289657593, -0.11445579677820206, -0.45215749740600586, -0.086158879101...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-multi_nli-default-4bf17f-59291145363
autoevaluate
2023-10-04T15:58:15Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:58:15Z
2023-10-04T15:56:13.000Z
2023-10-04T15:56:13
--- type: predictions tags: - autotrain - evaluation datasets: - multi_nli eval_info: task: natural_language_inference model: roberta-large-mnli metrics: [] dataset_name: multi_nli dataset_config: default dataset_split: validation_matched col_mapping: text1: premise text2: hypothesis target: l...
[ -0.4330174922943115, -0.4603762626647949, 0.3243621289730072, 0.29012587666511536, 0.05719940364360809, -0.12770482897758484, -0.1772451102733612, -0.40623924136161804, 0.1411125808954239, 0.5076316595077515, -1.0148745775222778, -0.22862309217453003, -0.6379272937774658, 0.181233853101730...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-multi_nli-default-544a62-53715145359
autoevaluate
2023-10-04T15:59:12Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:59:12Z
2023-10-04T15:57:09.000Z
2023-10-04T15:57:09
--- type: predictions tags: - autotrain - evaluation datasets: - multi_nli eval_info: task: natural_language_inference model: roberta-large-mnli metrics: [] dataset_name: multi_nli dataset_config: default dataset_split: validation_matched col_mapping: text1: premise text2: hypothesis target: l...
[ -0.4162793457508087, -0.44775813817977905, 0.34377312660217285, 0.2558543086051941, 0.04024900868535042, -0.11858057230710983, -0.15713991224765778, -0.4110754132270813, 0.13969871401786804, 0.5023201704025269, -1.046881079673767, -0.23054373264312744, -0.6364763379096985, 0.16204485297203...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-spider-spider-251ea9-59625145369
autoevaluate
2023-10-04T16:46:34Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:46:34Z
2023-10-04T15:59:07.000Z
2023-10-04T15:59:07
--- type: predictions tags: - autotrain - evaluation datasets: - spider eval_info: task: translation model: charanhu/text_to_sql_2 metrics: ['accuracy'] dataset_name: spider dataset_config: spider dataset_split: train col_mapping: source: question target: query --- # Dataset Card for AutoTrain Eva...
[ -0.2876758277416229, -0.2698495090007782, 0.27061283588409424, 0.11231992393732071, -0.23745056986808777, 0.012305101379752159, 0.07293622195720673, -0.4846939444541931, 0.3318454325199127, 0.4683395028114319, -1.011212706565857, -0.08273095637559891, -0.7081966996192932, 0.093990623950958...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-ag_news-default-425da4-59710145370
autoevaluate
2023-10-04T16:02:24Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:02:24Z
2023-10-04T15:59:25.000Z
2023-10-04T15:59:25
--- type: predictions tags: - autotrain - evaluation datasets: - ag_news eval_info: task: summarization model: AleBurzio/long-t5-base-govreport metrics: [] dataset_name: ag_news dataset_config: default dataset_split: test col_mapping: text: text target: label --- # Dataset Card for AutoTrain Evalu...
[ -0.40572047233581543, -0.22728075087070465, 0.30114951729774475, 0.1717936247587204, -0.1026526391506195, -0.09590282291173935, 0.016821669414639473, -0.4691142439842224, 0.2935367226600647, 0.4274943768978119, -0.8289382457733154, -0.33727675676345825, -0.6683757305145264, -0.110540688037...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-ag_news-default-8f9ba7-59715145371
autoevaluate
2023-10-04T16:02:24Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:02:24Z
2023-10-04T15:59:29.000Z
2023-10-04T15:59:29
--- type: predictions tags: - autotrain - evaluation datasets: - ag_news eval_info: task: summarization model: AleBurzio/long-t5-base-govreport metrics: [] dataset_name: ag_news dataset_config: default dataset_split: test col_mapping: text: text target: label --- # Dataset Card for AutoTrain Evalu...
[ -0.4057208299636841, -0.22728128731250763, 0.30114927887916565, 0.17179398238658905, -0.1026526689529419, -0.09590280801057816, 0.01682169921696186, -0.4691144526004791, 0.2935369610786438, 0.42749452590942383, -0.828938364982605, -0.3372766673564911, -0.6683757901191711, -0.11054050177335...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-ag_news-default-d2b27e-59716145372
autoevaluate
2023-10-04T16:02:43Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:02:43Z
2023-10-04T15:59:44.000Z
2023-10-04T15:59:44
--- type: predictions tags: - autotrain - evaluation datasets: - ag_news eval_info: task: summarization model: AleBurzio/long-t5-base-govreport metrics: ['f1'] dataset_name: ag_news dataset_config: default dataset_split: test col_mapping: text: text target: label --- # Dataset Card for AutoTrain E...
[ -0.4057208299636841, -0.22728128731250763, 0.30114927887916565, 0.17179398238658905, -0.1026526689529419, -0.09590280801057816, 0.01682169921696186, -0.4691144526004791, 0.2935369610786438, 0.42749452590942383, -0.828938364982605, -0.3372766673564911, -0.6683757901191711, -0.11054050177335...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-80767e-59416145366
autoevaluate
2023-10-04T17:25:24Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:25:24Z
2023-10-04T16:01:57.000Z
2023-10-04T16:01:57
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: xysmalobia/pegasus-samsum metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluator T...
[ -0.5456088781356812, -0.212212473154068, 0.12596158683300018, -0.06835450977087021, -0.32499727606773376, -0.1527862846851349, -0.13278533518314362, -0.34816619753837585, 0.43940189480781555, 0.25766319036483765, -0.9876469373703003, -0.2694775462150574, -0.6518890261650085, 0.069374494254...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-gigaword-default-eb1b4a-58978145360
autoevaluate
2023-10-04T16:05:42Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:05:42Z
2023-10-04T16:02:54.000Z
2023-10-04T16:02:54
--- type: predictions tags: - autotrain - evaluation datasets: - gigaword eval_info: task: summarization model: facebook/bart-large-xsum metrics: ['bertscore'] dataset_name: gigaword dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for Auto...
[ -0.4748167395591736, -0.3220544159412384, 0.2479114830493927, 0.1430303007364273, -0.08620183914899826, -0.0276243407279253, -0.0006998793105594814, -0.4149061143398285, 0.5163047313690186, 0.46524107456207275, -1.1364001035690308, -0.09214065223932266, -0.5034911036491394, -0.125413417816...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-34156b-59952145381
autoevaluate
2023-10-04T16:12:41Z
0
1
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:12:41Z
2023-10-04T16:03:30.000Z
2023-10-04T16:03:30
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: Alred/bart-base-finetuned-summarization-cnn-ver3 metrics: ['rouge', 'accuracy', 'bleu', 'exact_match', 'f1', 'perplexity', 'recall', 'precision', 'roc_auc'] dataset_name: cnn_dailymail dataset_...
[ -0.47948387265205383, -0.34322288632392883, 0.051617830991744995, 0.19369448721408844, -0.14476780593395233, -0.14538882672786713, -0.03276888653635979, -0.39518508315086365, 0.219066321849823, 0.3854367434978485, -0.8718538284301758, -0.24798128008842468, -0.6960588097572327, -0.050610221...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-thaisum-thaisum-0e2603-59838145376
autoevaluate
2023-10-04T16:15:58Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:15:58Z
2023-10-04T16:04:53.000Z
2023-10-04T16:04:53
--- type: predictions tags: - autotrain - evaluation datasets: - thaisum eval_info: task: summarization model: thanathorn/mt5-cpe-kmutt-thai-sentence-sum metrics: [] dataset_name: thaisum dataset_config: thaisum dataset_split: test col_mapping: text: body target: summary --- # Dataset Card for Aut...
[ -0.4292859733104706, -0.15691021084785461, 0.22886426746845245, 0.22750909626483917, -0.15382423996925354, -0.08807829767465591, -0.07226665318012238, -0.3349255621433258, 0.2873731851577759, 0.43720749020576477, -0.9317466616630554, -0.21791748702526093, -0.6761082410812378, 0.05585815757...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-34156b-59952145380
autoevaluate
2023-10-04T17:42:14Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:42:14Z
2023-10-04T16:05:30.000Z
2023-10-04T16:05:30
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: 0x70DA/pegasus-cnn_dailymail metrics: ['rouge', 'accuracy', 'bleu', 'exact_match', 'f1', 'perplexity', 'recall', 'precision', 'roc_auc'] dataset_name: cnn_dailymail dataset_config: 3.0.0 data...
[ -0.4484383463859558, -0.2569434642791748, 0.053372956812381744, 0.21282462775707245, -0.22636191546916962, -0.1722821295261383, 0.03509514778852463, -0.42570939660072327, 0.26779597997665405, 0.36805278062820435, -1.0096673965454102, -0.23612943291664124, -0.7183421850204468, -0.0954033508...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-84482e-60145145395
autoevaluate
2023-10-04T17:41:33Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:41:33Z
2023-10-04T16:06:13.000Z
2023-10-04T16:06:13
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: google/roberta2roberta_L-24_cnn_daily_mail metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Data...
[ -0.37215930223464966, -0.36860349774360657, 0.11818583309650421, 0.18867701292037964, -0.1440238654613495, -0.08934013545513153, -0.03509041666984558, -0.3972601294517517, 0.18882256746292114, 0.3072241246700287, -0.9698547124862671, -0.20703290402889252, -0.7530398368835449, -0.0887079164...
null
null
null
null
null
null
null
null
null
null
null
null
null
ewre324/appy-llama2-1k
ewre324
2023-10-06T13:28:59Z
0
0
null
[ "region:us" ]
2023-10-06T13:28:59Z
2023-10-04T16:06:49.000Z
2023-10-04T16:06:49
--- dataset_info: features: - name: prompt dtype: large_string - name: main_topic dtype: large_string - name: subtopic dtype: large_string - name: adjective dtype: large_string - name: action_verb dtype: large_string - name: scenario dtype: large_string - name: target_audience ...
[ -0.4922651946544647, -0.13536643981933594, 0.07335199415683746, 0.4327836036682129, -0.46136483550071716, 0.04065597429871559, 0.599585771560669, -0.18585143983364105, 1.078965187072754, 0.5569809079170227, -0.827025294303894, -0.7526842951774597, -0.5842523574829102, -0.1659325808286667, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-34156b-59952145382
autoevaluate
2023-10-04T16:29:27Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:29:27Z
2023-10-04T16:08:06.000Z
2023-10-04T16:08:06
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: MohamedZaitoon/bart-fine-tune metrics: ['rouge', 'accuracy', 'bleu', 'exact_match', 'f1', 'perplexity', 'recall', 'precision', 'roc_auc'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dat...
[ -0.503178060054779, -0.33374685049057007, 0.047214750200510025, 0.14038647711277008, -0.18315072357654572, -0.07441522926092148, -0.05429355427622795, -0.41561159491539, 0.216822549700737, 0.4165377914905548, -0.9896524548530579, -0.2055308073759079, -0.659972071647644, -0.0075933467596769...
null
null
null
null
null
null
null
null
null
null
null
null
null
BangumiBase/gekkanshoujonozakikun
BangumiBase
2023-10-04T17:18:33Z
0
0
null
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
2023-10-04T17:18:33Z
2023-10-04T16:08:45.000Z
2023-10-04T16:08:45
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Gekkan Shoujo Nozaki-kun This is the image base of bangumi Gekkan Shoujo Nozaki-kun, we detected 14 characters, 1916 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guaranteed to be...
[ -0.7303354740142822, -0.21884459257125854, 0.17291229963302612, 0.24830275774002075, -0.28615179657936096, -0.09054835885763168, 0.02182290330529213, -0.4171455204486847, 0.59649658203125, 0.5346035957336426, -0.9257434010505676, -0.8746297359466553, -0.6580466628074646, 0.4775230586528778...
null
null
null
null
null
null
null
null
null
null
null
null
null
MegPaulson/Melanoma_resized
MegPaulson
2023-10-05T14:14:41Z
0
0
null
[ "region:us" ]
2023-10-05T14:14:41Z
2023-10-04T16:10:59.000Z
2023-10-04T16:10:59
--- dataset_info: features: - name: image dtype: image - name: image_seg dtype: image - name: prompt dtype: string splits: - name: train num_bytes: 11692204.0 num_examples: 26 download_size: 11702241 dataset_size: 11692204.0 configs: - config_name: default data_files: - split: tr...
[ -0.4570201635360718, -0.2144610732793808, 0.24879547953605652, 0.14457497000694275, -0.4358995258808136, 0.02058117650449276, 0.127529114484787, -0.18300743401050568, 0.9595029354095459, 0.7512037754058838, -0.7860032916069031, -1.0247652530670166, -0.5789393782615662, -0.18690969049930573...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-thaisum-thaisum-7581c9-59349145365
autoevaluate
2023-10-04T16:24:22Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:24:22Z
2023-10-04T16:13:14.000Z
2023-10-04T16:13:14
--- type: predictions tags: - autotrain - evaluation datasets: - thaisum eval_info: task: summarization model: thanathorn/mt5-cpe-kmutt-thai-sentence-sum metrics: [] dataset_name: thaisum dataset_config: thaisum dataset_split: test col_mapping: text: body target: summary --- # Dataset Card for Aut...
[ -0.4292859733104706, -0.15691021084785461, 0.22886426746845245, 0.22750909626483917, -0.15382423996925354, -0.08807829767465591, -0.07226665318012238, -0.3349255621433258, 0.2873731851577759, 0.43720749020576477, -0.9317466616630554, -0.21791748702526093, -0.6761082410812378, 0.05585815757...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-7c65dc-60294145404
autoevaluate
2023-10-04T16:50:54Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:50:54Z
2023-10-04T16:16:50.000Z
2023-10-04T16:16:50
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: google/pegasus-xsum metrics: ['bertscore'] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluat...
[ -0.5474532246589661, -0.06826374679803848, 0.19783149659633636, 0.045623861253261566, -0.1856042593717575, -0.21009604632854462, 0.1076132208108902, -0.4053992033004761, 0.5128775238990784, 0.4046933352947235, -1.1862804889678955, -0.12512432038784027, -0.6448224186897278, -0.1872725188732...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-84482e-60145145397
autoevaluate
2023-10-04T16:26:58Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:26:58Z
2023-10-04T16:17:08.000Z
2023-10-04T16:17:08
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: ARTeLab/it5-summarization-mlsum metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card fo...
[ -0.4126114547252655, -0.1878485232591629, 0.058653078973293304, 0.22230695188045502, -0.1797865331172943, -0.057231392711400986, 0.07871749997138977, -0.4080277383327484, 0.2017792910337448, 0.2872999310493469, -0.9299510717391968, -0.23347395658493042, -0.6921852231025696, -0.051849283277...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-7c65dc-60294145405
autoevaluate
2023-10-04T17:06:57Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:06:57Z
2023-10-04T16:17:16.000Z
2023-10-04T16:17:16
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: slauw87/bart_summarisation metrics: ['bertscore'] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain ...
[ -0.46693143248558044, -0.1405295580625534, 0.21633809804916382, 0.12459667026996613, -0.11709265410900116, -0.08589307218790054, 0.11664175242185593, -0.4216458201408386, 0.42583465576171875, 0.49566569924354553, -1.0703675746917725, -0.10249996185302734, -0.585567831993103, -0.09124866127...
null
null
null
null
null
null
null
null
null
null
null
null
null
Globaly/categorias-11k
Globaly
2023-10-04T16:40:40Z
0
0
null
[ "region:us" ]
2023-10-04T16:40:40Z
2023-10-04T16:17:53.000Z
2023-10-04T16:17:53
Entry not found
[ -0.32276472449302673, -0.22568407654762268, 0.8622258901596069, 0.4346148371696472, -0.5282984972000122, 0.7012965679168701, 0.7915717363357544, 0.07618629932403564, 0.7746022939682007, 0.2563222646713257, -0.785281777381897, -0.22573848068714142, -0.9104482531547546, 0.5715669393539429, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
sibozhu/paddington_cn
sibozhu
2023-10-04T16:34:25Z
0
0
null
[ "region:us" ]
2023-10-04T16:34:25Z
2023-10-04T16:20:40.000Z
2023-10-04T16:20:40
Entry not found
[ -0.32276472449302673, -0.22568407654762268, 0.8622258901596069, 0.4346148371696472, -0.5282984972000122, 0.7012965679168701, 0.7915717363357544, 0.07618629932403564, 0.7746022939682007, 0.2563222646713257, -0.785281777381897, -0.22573848068714142, -0.9104482531547546, 0.5715669393539429, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
PericlesSavio/contratacao3
PericlesSavio
2023-10-04T16:25:21Z
0
0
null
[ "region:us" ]
2023-10-04T16:25:21Z
2023-10-04T16:25:01.000Z
2023-10-04T16:25:01
Entry not found
[ -0.32276472449302673, -0.22568407654762268, 0.8622258901596069, 0.4346148371696472, -0.5282984972000122, 0.7012965679168701, 0.7915717363357544, 0.07618629932403564, 0.7746022939682007, 0.2563222646713257, -0.785281777381897, -0.22573848068714142, -0.9104482531547546, 0.5715669393539429, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-8e4fa8-60494145409
autoevaluate
2023-10-04T16:34:53Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:34:53Z
2023-10-04T16:26:14.000Z
2023-10-04T16:26:14
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: morenolq/bart-base-xsum metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluator Thi...
[ -0.4983224868774414, -0.062377966940402985, 0.18314309418201447, 0.1026342585682869, -0.06342246383428574, -0.04193577170372009, 0.12678305804729462, -0.3978417217731476, 0.4385170638561249, 0.4901764392852783, -1.114723563194275, -0.14990590512752533, -0.5945268273353577, -0.1327127069234...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-e3e096-60495145411
autoevaluate
2023-10-04T16:56:55Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:56:55Z
2023-10-04T16:27:30.000Z
2023-10-04T16:27:30
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: sysresearch101/t5-large-finetuned-xsum metrics: ['bertscore'] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card fo...
[ -0.4786951541900635, -0.06514865905046463, 0.1756606549024582, 0.12722286581993103, -0.1034216433763504, -0.19831278920173645, -0.008240611292421818, -0.3914690911769867, 0.3627891540527344, 0.42018750309944153, -1.1025441884994507, -0.17498384416103363, -0.6316560506820679, -0.03984407708...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-84482e-60145145396
autoevaluate
2023-10-04T16:35:02Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:35:02Z
2023-10-04T16:31:41.000Z
2023-10-04T16:31:41
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: gauravkoradiya/T5-Fintuned-on-cnn_daily_mail metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Da...
[ -0.3690924644470215, -0.3501690924167633, 0.08588641881942749, 0.20416003465652466, -0.19011755287647247, -0.047687411308288574, 0.02031591162085533, -0.4200422465801239, 0.15181602537631989, 0.26590466499328613, -0.9500897526741028, -0.22481311857700348, -0.7164285778999329, -0.0821151807...
null
null
null
null
null
null
null
null
null
null
null
null
null
ernestum/ppo-Pendulum-v1
ernestum
2023-10-04T16:32:27Z
0
0
null
[ "region:us" ]
2023-10-04T16:32:27Z
2023-10-04T16:32:23.000Z
2023-10-04T16:32:23
--- dataset_info: features: - name: obs sequence: sequence: float32 - name: acts sequence: sequence: float32 - name: infos sequence: string - name: terminal dtype: bool - name: rews sequence: float32 splits: - name: train num_bytes: 2575710 num_examples: 200 dow...
[ -0.3908683657646179, -0.05842825397849083, 0.1751612424850464, 0.26865822076797485, -0.5840170383453369, -0.3898654580116272, 0.5238366723060608, 0.020974211394786835, 0.7952396869659424, 0.6498667001724243, -0.909683108329773, -0.7788940072059631, -0.5106557607650757, -0.5055813789367676,...
null
null
null
null
null
null
null
null
null
null
null
null
null
finiteautomata/yahoo_dataset
finiteautomata
2023-10-04T18:34:26Z
0
0
null
[ "region:us" ]
2023-10-04T18:34:26Z
2023-10-04T16:39:31.000Z
2023-10-04T16:39:31
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: id dtype: int32 - name: topic dtype: class_label: names: '0': Society & Culture '1': Science & Mathematics ...
[ -0.5118246078491211, -0.3934282958507538, 0.03689941391348839, 0.1500149667263031, -0.20802544057369232, 0.051099956035614014, 0.4305557608604431, -0.13743357360363007, 0.7889724373817444, 0.48481637239456177, -1.0497214794158936, -0.6807093620300293, -0.42776963114738464, -0.3143020272254...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-math_dataset-algebra__linear_1d-400643-61492145434
autoevaluate
2023-10-04T18:04:21Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T18:04:21Z
2023-10-04T16:40:13.000Z
2023-10-04T16:40:13
--- type: predictions tags: - autotrain - evaluation datasets: - math_dataset eval_info: task: summarization model: umarkhalid96/t5-small-train metrics: ['accuracy', 'cer'] dataset_name: math_dataset dataset_config: algebra__linear_1d dataset_split: train col_mapping: text: question target: answer...
[ -0.44300538301467896, -0.19298352301120758, 0.17542006075382233, 0.20724982023239136, -0.1250557154417038, -0.10445571690797806, 0.004340307787060738, -0.30357515811920166, 0.27730104327201843, 0.3208174407482147, -1.0428752899169922, -0.16965213418006897, -0.6943063735961914, -0.143540143...
null
null
null
null
null
null
null
null
null
null
null
null
null
LLMGlobalyTest/categories-11k
LLMGlobalyTest
2023-10-04T16:42:01Z
0
0
null
[ "region:us" ]
2023-10-04T16:42:01Z
2023-10-04T16:40:20.000Z
2023-10-04T16:40:20
Entry not found
[ -0.32276472449302673, -0.22568407654762268, 0.8622258901596069, 0.4346148371696472, -0.5282984972000122, 0.7012965679168701, 0.7915717363357544, 0.07618629932403564, 0.7746022939682007, 0.2563222646713257, -0.785281777381897, -0.22573848068714142, -0.9104482531547546, 0.5715669393539429, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-dbert-5b493d-61553145435
autoevaluate
2023-10-04T16:42:23Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:42:23Z
2023-10-04T16:41:21.000Z
2023-10-04T16:41:21
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: summarization model: Alred/bart-base-finetuned-summarization-cnn-ver1.1 metrics: ['google_bleu'] dataset_name: adversarial_qa dataset_config: dbert dataset_split: validation col_mapping: text: question ...
[ -0.5645956993103027, -0.39491426944732666, 0.05427778884768486, 0.10025116056203842, -0.07506740838289261, -0.14091286063194275, 0.018314693123102188, -0.25480055809020996, 0.1969766616821289, 0.4617684781551361, -0.8534515500068665, -0.24469707906246185, -0.6414151787757874, -0.1028783470...
null
null
null
null
null
null
null
null
null
null
null
null
null
librarian-bots/dataset-abstracts
librarian-bots
2023-10-04T16:57:41Z
0
0
null
[ "size_categories:n<1K", "language:en", "region:us" ]
2023-10-04T16:57:41Z
2023-10-04T16:41:47.000Z
2023-10-04T16:41:47
--- language: - en size_categories: - n<1K configs: - config_name: abstracts data_files: - split: train path: abstracts/train-* - split: test path: abstracts/test-* - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: - config_nam...
[ -0.6040254235267639, -0.2275841236114502, 0.4347653090953827, 0.1730271577835083, -0.310274213552475, 0.07505664974451065, 0.29383584856987, -0.31801697611808777, 1.0389424562454224, 0.262403666973114, -0.7422615885734558, -0.8888250589370728, -0.7455668449401855, -0.0474129356443882, -0...
null
null
null
null
null
null
null
null
null
null
null
null
null
HuggingFaceBR4/thomwolf-small-llama
HuggingFaceBR4
2023-10-04T20:57:15Z
0
0
null
[ "region:us" ]
2023-10-04T20:57:15Z
2023-10-04T16:42:04.000Z
2023-10-04T16:42:04
--- pretty_name: Evaluation run of 3050 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [3050](https://huggingface.co/3050) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 406 configuration, each o...
[ -0.6028389930725098, -0.6176780462265015, 0.17252416908740997, 0.24343541264533997, -0.13122989237308502, 0.023085640743374825, -0.213096484541893, -0.21385803818702698, 0.4819072484970093, 0.4728149473667145, -0.6422103047370911, -0.8515875935554504, -0.5263600945472717, 0.176826581358909...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-7c65dc-60294145402
autoevaluate
2023-10-04T17:14:05Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:14:05Z
2023-10-04T16:43:54.000Z
2023-10-04T16:43:54
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: facebook/bart-large-xsum metrics: ['bertscore'] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Ev...
[ -0.48263028264045715, -0.288273423910141, 0.23880644142627716, 0.1555786281824112, -0.050953611731529236, -0.03438718244433403, -0.019235242158174515, -0.3815164864063263, 0.5165611505508423, 0.4352460503578186, -1.1386831998825073, -0.12910254299640656, -0.5539235472679138, -0.10983178019...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-e3e096-60495145410
autoevaluate
2023-10-04T17:19:17Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:19:17Z
2023-10-04T16:46:55.000Z
2023-10-04T16:46:55
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: google/pegasus-xsum metrics: ['bertscore'] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluat...
[ -0.5474531054496765, -0.06826381385326385, 0.19783209264278412, 0.0456235446035862, -0.185604527592659, -0.2100955992937088, 0.10761330276727676, -0.4053994417190552, 0.5128775238990784, 0.40469348430633545, -1.186280369758606, -0.1251244992017746, -0.6448227763175964, -0.1872727870941162,...
null
null
null
null
null
null
null
null
null
null
null
null
null
davanstrien/autotrain-data-runu-uz75-qrwq
davanstrien
2023-10-04T16:52:31Z
0
0
null
[ "region:us" ]
2023-10-04T16:52:31Z
2023-10-04T16:52:29.000Z
2023-10-04T16:52:29
Invalid username or password.
[ 0.22538813948631287, -0.8998719453811646, 0.4273532032966614, 0.01545056700706482, -0.07883036881685257, 0.6044343113899231, 0.6795741319656372, 0.07246866822242737, 0.20425251126289368, 0.8107712864875793, -0.7993434071540833, 0.2074914574623108, -0.9463866949081421, 0.3846413493156433, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-bcce97-62650145463
autoevaluate
2023-10-04T17:03:52Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:03:52Z
2023-10-04T16:54:06.000Z
2023-10-04T16:54:06
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: morenolq/bart-base-xsum metrics: ['bertscore'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card...
[ -0.4751242399215698, -0.15901242196559906, 0.08666335791349411, 0.15365207195281982, -0.11506003141403198, -0.03201615437865257, 0.04588441923260689, -0.44605207443237305, 0.34049999713897705, 0.4531370997428894, -1.064513087272644, -0.2366139143705368, -0.7060618996620178, -0.114283807575...
null
null
null
null
null
null
null
null
null
null
null
null
null
davanstrien/autotrain-data-dataset-abstracts
davanstrien
2023-10-04T16:58:19Z
0
0
null
[ "region:us" ]
2023-10-04T16:58:19Z
2023-10-04T16:58:19.000Z
2023-10-04T16:58:19
Invalid username or password.
[ 0.22538858652114868, -0.8998718857765198, 0.4273533821105957, 0.015450280159711838, -0.07883062958717346, 0.60443514585495, 0.6795744895935059, 0.0724683478474617, 0.2042529433965683, 0.8107719421386719, -0.799343466758728, 0.2074916660785675, -0.9463866949081421, 0.38464194536209106, -0...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-66cf5e-63956145513
autoevaluate
2023-10-04T18:49:07Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T18:49:07Z
2023-10-04T17:07:08.000Z
2023-10-04T17:07:08
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: 0x70DA/pegasus-cnn_dailymail metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for A...
[ -0.4705018401145935, -0.27827170491218567, 0.09384983032941818, 0.19767075777053833, -0.21469861268997192, -0.17172428965568542, 0.053898055106401443, -0.42601272463798523, 0.30922964215278625, 0.3802463114261627, -1.0034019947052002, -0.25831153988838196, -0.7399371862411499, -0.099747724...
null
null
null
null
null
null
null
null
null
null
null
null
null
newsmediabias/debiased_test_set
newsmediabias
2023-10-04T17:07:56Z
0
0
null
[ "region:us" ]
2023-10-04T17:07:56Z
2023-10-04T17:07:20.000Z
2023-10-04T17:07:20
Entry not found
[ -0.32276472449302673, -0.22568407654762268, 0.8622258901596069, 0.4346148371696472, -0.5282984972000122, 0.7012965679168701, 0.7915717363357544, 0.07618629932403564, 0.7746022939682007, 0.2563222646713257, -0.785281777381897, -0.22573848068714142, -0.9104482531547546, 0.5715669393539429, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-fabiochiu__medium-articles-fabiochiu__medium-articles-5207ae-64303145522
autoevaluate
2023-10-05T00:20:22Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-05T00:20:22Z
2023-10-04T17:08:41.000Z
2023-10-04T17:08:41
--- type: predictions tags: - autotrain - evaluation datasets: - fabiochiu/medium-articles eval_info: task: summarization model: SamAct/PromptGeneration-base metrics: ['f1', 'accuracy'] dataset_name: fabiochiu/medium-articles dataset_config: fabiochiu--medium-articles dataset_split: train col_mapping: ...
[ -0.4285264015197754, -0.08434770256280899, 0.3313747048377991, 0.23179814219474792, -0.17981091141700745, -0.15727443993091583, 0.08238107711076736, -0.31445249915122986, 0.3062279522418976, 0.310193806886673, -1.1831611394882202, -0.16586832702159882, -0.571067214012146, 0.101695880293846...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-efa810-64484145523
autoevaluate
2023-10-04T17:09:43Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:09:43Z
2023-10-04T17:08:51.000Z
2023-10-04T17:08:51
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: saikatkumardey/my_awesome_qa_model metrics: ['accuracy'] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: cont...
[ -0.4980224072933197, -0.5256232023239136, 0.28638017177581787, -0.03668370842933655, 0.12815380096435547, -0.03270925208926201, 0.28724947571754456, -0.2596607804298401, 0.12373997271060944, 0.4781220555305481, -1.0373103618621826, -0.1222323328256607, -0.42357826232910156, -0.115070380270...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-e26065-64936145531
autoevaluate
2023-10-04T18:48:46Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T18:48:46Z
2023-10-04T17:10:03.000Z
2023-10-04T17:10:03
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: google/roberta2roberta_L-24_cnn_daily_mail metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Data...
[ -0.3973691165447235, -0.3410572111606598, 0.12227937579154968, 0.24356341361999512, -0.1624860316514969, -0.11040136218070984, -0.040882859379053116, -0.38813161849975586, 0.2444658875465393, 0.2843734323978424, -0.9899501204490662, -0.22934706509113312, -0.7320141196250916, -0.06866593658...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-e26065-64936145532
autoevaluate
2023-10-04T17:13:21Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:13:21Z
2023-10-04T17:10:12.000Z
2023-10-04T17:10:12
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: minhtoan/t5-finetune-cnndaily-news metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card...
[ -0.45935535430908203, -0.2775116264820099, 0.08790672570466995, 0.2937236428260803, -0.25222113728523254, -0.15360216796398163, -0.05103306099772453, -0.3740205466747284, 0.24935753643512726, 0.364603728055954, -0.9456833004951477, -0.2713487148284912, -0.6873528361320496, -0.0540804043412...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-e26065-64936145533
autoevaluate
2023-10-04T17:19:34Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:19:34Z
2023-10-04T17:10:23.000Z
2023-10-04T17:10:23
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: amagzari/bart-base-finetuned-cnn_dailymail metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Data...
[ -0.5110205411911011, -0.34821513295173645, 0.04917776212096214, 0.2792133390903473, -0.1665932834148407, -0.12378328293561935, -0.03312641754746437, -0.3625931739807129, 0.30735597014427185, 0.3441721200942993, -1.003641128540039, -0.26969024538993835, -0.6538051962852478, -0.0496522337198...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-e26065-64936145535
autoevaluate
2023-10-04T18:48:08Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T18:48:08Z
2023-10-04T17:10:44.000Z
2023-10-04T17:10:44
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: 0x70DA/pegasus-cnn_dailymail metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for A...
[ -0.47356560826301575, -0.23739591240882874, 0.057059429585933685, 0.2665623724460602, -0.24369202554225922, -0.18644757568836212, 0.03371863067150116, -0.4127804934978485, 0.3231542408466339, 0.3490840792655945, -1.027839183807373, -0.25518304109573364, -0.6992230415344238, -0.073412008583...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-conll2003-conll2003-0a1842-65397145557
autoevaluate
2023-10-04T17:17:19Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:17:19Z
2023-10-04T17:15:51.000Z
2023-10-04T17:15:51
--- type: predictions tags: - autotrain - evaluation datasets: - conll2003 eval_info: task: entity_extraction model: Abelll/bert-finetuned-ner metrics: [] dataset_name: conll2003 dataset_config: conll2003 dataset_split: test col_mapping: tokens: tokens tags: ner_tags --- # Dataset Card for AutoTra...
[ -0.4645516872406006, -0.24780990183353424, 0.09294908493757248, 0.08332455158233643, 0.0035736525896936655, -0.12462867796421051, 0.10585340857505798, -0.5104268193244934, 0.11359979212284088, 0.34136995673179626, -0.9205584526062012, -0.12736015021800995, -0.6298208236694336, 0.0132168894...
null
null
null
null
null
null
null
null
null
null
null
null
null
AlexPlus/cpis_test
AlexPlus
2023-10-04T17:17:01Z
0
0
null
[ "license:mit", "region:us" ]
2023-10-04T17:17:01Z
2023-10-04T17:16:34.000Z
2023-10-04T17:16:34
--- license: mit ---
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-0cf9bf-65912145569
autoevaluate
2023-10-04T17:18:57Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:18:57Z
2023-10-04T17:18:05.000Z
2023-10-04T17:18:05
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: Chetna19/my_awesome_qa_model metrics: ['perplexity', 'accuracy', 'bleu'] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: ...
[ -0.5255500674247742, -0.5491928458213806, 0.3257220387458801, -0.03315361216664314, 0.13163885474205017, -0.05133415758609772, 0.26460444927215576, -0.25922510027885437, 0.11184907704591751, 0.5017896294593811, -1.0086044073104858, -0.14968498051166534, -0.4129772186279297, -0.126611292362...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-6a5d0b-66069145577
autoevaluate
2023-10-04T17:20:31Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:20:31Z
2023-10-04T17:19:30.000Z
2023-10-04T17:19:30
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: jgammack/SAE-roberta-base-squad metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: context quest...
[ -0.5298400521278381, -0.5039718151092529, 0.21528208255767822, 0.006964037660509348, 0.15446610748767853, 0.022661229595541954, 0.17993324995040894, -0.28881874680519104, 0.06119876354932785, 0.49839261174201965, -1.1618074178695679, -0.13024529814720154, -0.5912141799926758, -0.0727713182...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-multi_news-default-1231f6-66166145579
autoevaluate
2023-10-04T17:44:36Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:44:36Z
2023-10-04T17:19:41.000Z
2023-10-04T17:19:41
--- type: predictions tags: - autotrain - evaluation datasets: - multi_news eval_info: task: summarization model: facebook/bart-large-cnn metrics: [] dataset_name: multi_news dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Ev...
[ -0.5590595006942749, -0.42237764596939087, 0.17847523093223572, 0.20855675637722015, -0.14291872084140778, -0.04041570797562599, -0.10676001012325287, -0.3261790871620178, 0.3905313313007355, 0.38060900568962097, -0.972379207611084, -0.2029377967119217, -0.6486886143684387, -0.114811345934...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-6a5d0b-66069145576
autoevaluate
2023-10-04T17:20:39Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:20:39Z
2023-10-04T17:19:50.000Z
2023-10-04T17:19:50
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: Laurie/QA-distilbert metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: context question: questi...
[ -0.5053009390830994, -0.5013945698738098, 0.31857413053512573, -0.02479630708694458, 0.17924819886684418, -0.01075429655611515, 0.2927073538303375, -0.2754977345466614, -0.009483294561505318, 0.48375847935676575, -1.0566972494125366, -0.17251574993133545, -0.6174072623252869, -0.0537348650...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-tweet_eval-emotion-dbaa98-66233145580
autoevaluate
2023-10-04T17:20:23Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:20:23Z
2023-10-04T17:19:52.000Z
2023-10-04T17:19:52
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: 095ey11/bert-emotion metrics: [] dataset_name: tweet_eval dataset_config: emotion dataset_split: train col_mapping: text: text target: label --- # Dataset Card for AutoTra...
[ -0.3732638657093048, -0.2765389680862427, 0.2821912169456482, 0.28661295771598816, -0.033197108656167984, 0.014731273986399174, -0.1755431890487671, -0.44010114669799805, 0.12447764724493027, 0.11610791832208633, -0.969704270362854, -0.2304862141609192, -0.7637889981269836, -0.076386690139...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-tweet_eval-emotion-dbaa98-66233145581
autoevaluate
2023-10-04T17:20:32Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:20:32Z
2023-10-04T17:20:03.000Z
2023-10-04T17:20:03
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: FelixHonikker/bert-emotion metrics: [] dataset_name: tweet_eval dataset_config: emotion dataset_split: train col_mapping: text: text target: label --- # Dataset Card for A...
[ -0.37681376934051514, -0.3003988564014435, 0.30158913135528564, 0.27517274022102356, -0.029311159625649452, 0.026217425242066383, -0.2097616344690323, -0.42075586318969727, 0.15263617038726807, 0.13976754248142242, -0.9622366428375244, -0.25321587920188904, -0.7608580589294434, -0.05552368...
null
null
null
null
null
null
null
null
null
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null
null
null
autoevaluate/autoeval-eval-tweet_eval-emotion-11ffbd-66309145583
autoevaluate
2023-10-04T17:20:45Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:20:45Z
2023-10-04T17:20:22.000Z
2023-10-04T17:20:22
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: ShoneRan/bert-emotion metrics: [] dataset_name: tweet_eval dataset_config: emotion dataset_split: test col_mapping: text: text target: label --- # Dataset Card for AutoTra...
[ -0.36718857288360596, -0.2652212977409363, 0.2845897078514099, 0.31649577617645264, 0.005755639169365168, 0.04876043274998665, -0.1304558664560318, -0.3916555941104889, 0.16160154342651367, 0.1973891258239746, -0.9223109483718872, -0.28208115696907043, -0.7449765205383301, -0.0888760238885...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-tweet_eval-emotion-cb9f8a-66323145584
autoevaluate
2023-10-04T17:21:04Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:21:04Z
2023-10-04T17:20:44.000Z
2023-10-04T17:20:44
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: ShoneRan/bert-emotion metrics: [] dataset_name: tweet_eval dataset_config: emotion dataset_split: test col_mapping: text: text target: label --- # Dataset Card for AutoTra...
[ -0.36718857288360596, -0.2652212977409363, 0.2845897078514099, 0.31649577617645264, 0.005755639169365168, 0.04876043274998665, -0.1304558664560318, -0.3916555941104889, 0.16160154342651367, 0.1973891258239746, -0.9223109483718872, -0.28208115696907043, -0.7449765205383301, -0.0888760238885...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-imdb-plain_text-fdc5b9-67091145591
autoevaluate
2023-10-04T17:26:01Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:26:01Z
2023-10-04T17:21:46.000Z
2023-10-04T17:21:46
--- type: predictions tags: - autotrain - evaluation datasets: - imdb eval_info: task: summarization model: t5-small metrics: [] dataset_name: imdb dataset_config: plain_text dataset_split: test col_mapping: text: text target: label --- # Dataset Card for AutoTrain Evaluator This repository conta...
[ -0.5096513628959656, -0.10120490193367004, 0.2304820865392685, 0.0431881807744503, -0.23922820389270782, 0.024983864277601242, 0.10868607461452484, -0.29512304067611694, 0.3234352171421051, 0.44233131408691406, -1.1512401103973389, -0.24265772104263306, -0.7279203534126282, 0.0337404087185...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-imdb-plain_text-87fbde-67095145592
autoevaluate
2023-10-04T17:26:09Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:26:09Z
2023-10-04T17:21:57.000Z
2023-10-04T17:21:57
--- type: predictions tags: - autotrain - evaluation datasets: - imdb eval_info: task: summarization model: t5-small metrics: [] dataset_name: imdb dataset_config: plain_text dataset_split: test col_mapping: text: text target: label --- # Dataset Card for AutoTrain Evaluator This repository conta...
[ -0.5096513628959656, -0.10120490193367004, 0.2304820865392685, 0.0431881807744503, -0.23922820389270782, 0.024983864277601242, 0.10868607461452484, -0.29512304067611694, 0.3234352171421051, 0.44233131408691406, -1.1512401103973389, -0.24265772104263306, -0.7279203534126282, 0.0337404087185...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-5381b8-67099145593
autoevaluate
2023-10-04T17:24:35Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:24:35Z
2023-10-04T17:22:05.000Z
2023-10-04T17:22:05
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: t5-small metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluator This repository co...
[ -0.46546703577041626, -0.034012846648693085, 0.24776066839694977, 0.09639250487089157, -0.14411157369613647, -0.041832488030195236, 0.09447555243968964, -0.38732799887657166, 0.307900995016098, 0.36098796129226685, -1.1285054683685303, -0.23920240998268127, -0.6299341917037964, -0.02474032...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-wmt14-de-en-fbedb0-67643145604
autoevaluate
2023-10-04T17:35:06Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:35:06Z
2023-10-04T17:24:08.000Z
2023-10-04T17:24:08
--- type: predictions tags: - autotrain - evaluation datasets: - wmt14 eval_info: task: translation model: leukas/byt5-large-wmt14-deen metrics: ['bleu'] dataset_name: wmt14 dataset_config: de-en dataset_split: test col_mapping: source: translation.de target: translation.en --- # Dataset Card for ...
[ -0.475231796503067, -0.19718968868255615, 0.3633987307548523, 0.12157699465751648, -0.2709087133407593, -0.15063193440437317, -0.028862299397587776, -0.5049654245376587, 0.13131652772426605, 0.41081246733665466, -1.2108639478683472, -0.18564793467521667, -0.8414185643196106, 0.201490461826...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-wmt14-de-en-fbedb0-67643145605
autoevaluate
2023-10-04T17:31:34Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:31:34Z
2023-10-04T17:24:16.000Z
2023-10-04T17:24:16
--- type: predictions tags: - autotrain - evaluation datasets: - wmt14 eval_info: task: translation model: leukas/mt5-large-wmt14-deen metrics: ['bleu'] dataset_name: wmt14 dataset_config: de-en dataset_split: test col_mapping: source: translation.de target: translation.en --- # Dataset Card for A...
[ -0.5024619102478027, -0.22703583538532257, 0.3620316684246063, 0.10433104634284973, -0.2960241138935089, -0.15326543152332306, -0.014743656851351261, -0.4745670557022095, 0.15184137225151062, 0.41393107175827026, -1.1735507249832153, -0.23156164586544037, -0.8504751920700073, 0.21984481811...
null
null
null
null
null
null
null
null
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null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-cd62e4-67882145606
autoevaluate
2023-10-04T17:26:08Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:26:08Z
2023-10-04T17:25:08.000Z
2023-10-04T17:25:08
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: Akihiro2/bert-finetuned-squad metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: context questio...
[ -0.5505195260047913, -0.5168906450271606, 0.2731083035469055, 0.04359360784292221, 0.133586123585701, -0.01962459832429886, 0.14444175362586975, -0.35399484634399414, 0.00024144472263287753, 0.42930933833122253, -1.1710193157196045, -0.04661858454346657, -0.4839610159397125, -0.11875720322...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-cd62e4-67882145607
autoevaluate
2023-10-04T17:26:15Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:26:15Z
2023-10-04T17:25:11.000Z
2023-10-04T17:25:11
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: Asmit/bert-finetuned-squad metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: context question: ...
[ -0.5580453872680664, -0.5316840410232544, 0.2392425239086151, 0.08722533285617828, 0.16025087237358093, 0.012204543687403202, 0.12941795587539673, -0.33478304743766785, 0.02408849261701107, 0.43167445063591003, -1.2035924196243286, -0.07365541160106659, -0.49059560894966125, -0.10787393152...
null
null
null
null
null
null
null
null
null
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null
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null
autoevaluate/autoeval-eval-conll2003-conll2003-e68bb2-67908145608
autoevaluate
2023-10-04T17:34:15Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:34:15Z
2023-10-04T17:27:54.000Z
2023-10-04T17:27:54
--- type: predictions tags: - autotrain - evaluation datasets: - conll2003 eval_info: task: entity_extraction model: 51la5/bert-large-NER metrics: ['bertscore'] dataset_name: conll2003 dataset_config: conll2003 dataset_split: train col_mapping: tokens: tokens tags: ner_tags --- # Dataset Card for ...
[ -0.4501034617424011, -0.13736850023269653, 0.15898211300373077, 0.17894843220710754, -0.03921379894018173, -0.09024889767169952, -0.027416078373789787, -0.5755240321159363, 0.20610487461090088, 0.3125908374786377, -0.9075244665145874, -0.11835642904043198, -0.6947864890098572, -0.029637126...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-samsum-samsum-e12e62-68887145629
autoevaluate
2023-10-04T17:36:22Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:36:22Z
2023-10-04T17:28:54.000Z
2023-10-04T17:28:54
--- type: predictions tags: - autotrain - evaluation datasets: - samsum eval_info: task: summarization model: d0rj/rut5-base-summ metrics: [] dataset_name: samsum dataset_config: samsum dataset_split: test col_mapping: text: dialogue target: summary --- # Dataset Card for AutoTrain Evaluator This...
[ -0.4362245202064514, -0.07251688838005066, 0.17446836829185486, 0.19863606989383698, -0.08882977068424225, 0.0029882495291531086, 0.15455234050750732, -0.30991533398628235, 0.3092476725578308, 0.3945390284061432, -1.1012433767318726, -0.11938465386629105, -0.6980772614479065, 0.01509332377...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-medical_questions_pairs-default-d0c070-68078145610
autoevaluate
2023-10-04T17:31:43Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:31:43Z
2023-10-04T17:30:06.000Z
2023-10-04T17:30:06
--- type: predictions tags: - autotrain - evaluation datasets: - medical_questions_pairs eval_info: task: summarization model: ARTeLab/it5-summarization-ilpost metrics: [] dataset_name: medical_questions_pairs dataset_config: default dataset_split: train col_mapping: text: question_1 target: quest...
[ -0.4436146318912506, -0.20505371689796448, 0.2890036702156067, 0.12250318378210068, -0.10180139541625977, -0.17728663980960846, 0.18361684679985046, -0.4115160405635834, 0.33303239941596985, 0.3948110044002533, -0.8696809411048889, -0.23537379503250122, -0.663437008857727, 0.02402857318520...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-199117-68890145630
autoevaluate
2023-10-04T19:46:09Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T19:46:09Z
2023-10-04T17:30:14.000Z
2023-10-04T17:30:14
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: d0rj/rut5-base-summ metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluator This re...
[ -0.47194039821624756, -0.04319366067647934, 0.14674973487854004, 0.17610982060432434, -0.06859663128852844, 0.02233675867319107, 0.12933871150016785, -0.3374830484390259, 0.29793378710746765, 0.3906296491622925, -1.1057000160217285, -0.12031430751085281, -0.6596494913101196, -0.00059144390...
null
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null
null
null
bjoernp/evol_eval_deu
bjoernp
2023-10-15T15:52:47Z
0
0
null
[ "license:apache-2.0", "region:us" ]
2023-10-15T15:52:47Z
2023-10-04T17:32:41.000Z
2023-10-04T17:32:41
--- license: apache-2.0 configs: - config_name: default data_files: - split: test path: - "difficult_questions.parquet" - "easy_questions.parquet" - split: validation path: - "difficult_questions_val.parquet" - "easy_questions_val.parquet" - config_name: difficult data_files: - split: ...
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
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