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HuggingFaceBR4/thomwolf-40B-tokens-llama-seed-7-1p82G
HuggingFaceBR4
2023-10-04T14:58:20Z
0
0
null
[ "region:us" ]
2023-10-04T14:58:20Z
2023-10-04T11:03:16.000Z
2023-10-04T11:03:16
--- pretty_name: Evaluation run of 2200 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [2200](https://huggingface.co/2200) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 7 configuration, each one...
[ -0.5574302077293396, -0.6129305958747864, 0.17249149084091187, 0.2500970959663391, -0.09972351789474487, 0.009005742147564888, -0.22156953811645508, -0.20682387053966522, 0.44494330883026123, 0.5085657238960266, -0.6621988415718079, -0.8414404988288879, -0.5573427677154541, 0.1961022019386...
null
null
null
null
null
null
null
null
null
null
null
null
null
tessiw/german_OpenOrca_Format2
tessiw
2023-10-10T12:29:13Z
0
1
null
[ "region:us" ]
2023-10-10T12:29:13Z
2023-10-04T11:05:13.000Z
2023-10-04T11:05:13
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 6613611409 num_examples: 3983923 download_size: 3728509725 dataset_size: 6613611409 --- # D...
[ -0.5665582418441772, -0.37202972173690796, 0.08979427814483643, 0.42844104766845703, -0.24676477909088135, -0.3926496207714081, -0.05108153074979782, -0.22753307223320007, 0.7507378458976746, 0.4053216874599457, -0.5864216089248657, -0.9673784375190735, -0.5365096926689148, -0.368823438882...
null
null
null
null
null
null
null
null
null
null
null
null
null
BangumiBase/sonobisquedollwakoiosuru
BangumiBase
2023-10-04T12:07:42Z
0
0
null
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
2023-10-04T12:07:42Z
2023-10-04T11:15:12.000Z
2023-10-04T11:15:12
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Sono Bisque Doll Wa Koi O Suru This is the image base of bangumi Sono Bisque Doll wa Koi o Suru, we detected 13 characters, 1120 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guar...
[ -0.7367817759513855, -0.23262210190296173, 0.09574422240257263, 0.25360995531082153, -0.25880616903305054, -0.13469380140304565, 0.041995082050561905, -0.44193530082702637, 0.5663504600524902, 0.6480521559715271, -0.9363593459129333, -0.8524911403656006, -0.6733401417732239, 0.487599730491...
null
null
null
null
null
null
null
null
null
null
null
null
null
Vishal24/small
Vishal24
2023-10-04T11:16:58Z
0
0
null
[ "region:us" ]
2023-10-04T11:16:58Z
2023-10-04T11:16:47.000Z
2023-10-04T11:16:47
Entry not found
[ -0.3227645754814148, -0.22568479180335999, 0.8622263669967651, 0.43461522459983826, -0.52829909324646, 0.7012971639633179, 0.7915719747543335, 0.07618614286184311, 0.774603009223938, 0.2563217282295227, -0.7852813005447388, -0.22573819756507874, -0.9104475975036621, 0.5715674161911011, -...
null
null
null
null
null
null
null
null
null
null
null
null
null
vevenom/SCANnotateDataset
vevenom
2023-10-04T11:42:45Z
0
0
null
[ "arxiv:2309.06107", "region:us" ]
2023-10-04T11:42:45Z
2023-10-04T11:26:30.000Z
2023-10-04T11:26:30
# SCANnotateDataset For up-to-date information please visit our [github repository](https://github.com/stefan-ainetter/SCANnotateDataset) CAD model and pose annotations for objects in the ScanNet dataset. Annotations are automatically generated using [scannotate](https://github.com/stefan-ainetter/SCANnotate) and [HO...
[ -0.5243696570396423, -0.16555528342723846, 0.5573107600212097, 0.19036418199539185, -0.48908063769340515, -0.4512481391429901, 0.3760935664176941, -0.7511270642280579, 0.4737251102924347, 0.4604455232620239, -0.5226224064826965, -0.7801565527915955, -0.493314266204834, 0.23588626086711884,...
null
null
null
null
null
null
null
null
null
null
null
null
null
ztroll/breast-ultrasound-images-dataset-dataset-busi
ztroll
2023-10-05T08:24:22Z
0
0
null
[ "license:unknown", "region:us" ]
2023-10-05T08:24:22Z
2023-10-04T11:51:40.000Z
2023-10-04T11:51:40
--- license: unknown ---
[ -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
aviroes/prepared_above_70yo_elderly_people_datasetV2
aviroes
2023-10-04T12:22:26Z
0
0
null
[ "region:us" ]
2023-10-04T12:22:26Z
2023-10-04T12:21:02.000Z
2023-10-04T12:21:02
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* dataset_info: features: - name: input_features sequence: sequence: float32 - name: input_length dtype: float64 - name: l...
[ -0.25626352429389954, -0.17611350119113922, 0.07540086656808853, 0.3006860911846161, -0.22334779798984528, -0.1563512682914734, 0.3934705853462219, -0.16353246569633484, 0.40459468960762024, 0.5712266564369202, -0.6053032279014587, -0.7500951290130615, -0.5283682942390442, -0.3461734652519...
null
null
null
null
null
null
null
null
null
null
null
null
null
RMXK/Jennie
RMXK
2023-10-04T12:26:24Z
0
0
null
[ "license:artistic-2.0", "region:us" ]
2023-10-04T12:26:24Z
2023-10-04T12:24:10.000Z
2023-10-04T12:24:10
--- license: artistic-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
umarigan/youtube_scripts
umarigan
2023-10-04T12:46:54Z
0
0
null
[ "task_categories:zero-shot-classification", "task_categories:summarization", "language:en", "license:apache-2.0", "region:us" ]
2023-10-04T12:46:54Z
2023-10-04T12:39:01.000Z
2023-10-04T12:39:01
--- license: apache-2.0 task_categories: - zero-shot-classification - summarization language: - en --- This dataset collected from various sources, Once I obtained the urls for youtube videos, I used langchain with YoutubeLoader function to get text of videos. Source of data: https://github.com/talesmarra/youtube_data...
[ -0.22607971727848053, -0.767583429813385, 0.016633545979857445, 0.031219329684972763, -0.39282670617103577, 0.14709867537021637, -0.3414725363254547, 0.15763840079307556, 0.5406412482261658, 0.7758298516273499, -0.6360921263694763, -0.565573513507843, -0.7196971774101257, 0.093653194606304...
null
null
null
null
null
null
null
null
null
null
null
null
null
Vinod-IE/IDMBreview
Vinod-IE
2023-10-06T04:33:31Z
0
0
null
[ "license:mit", "region:us" ]
2023-10-06T04:33:31Z
2023-10-04T12:50:49.000Z
2023-10-04T12:50:49
--- license: mit configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: review dtype: string - name: sentiment dtype: string - name: review_length dtype: int64 splits: - name: train ...
[ -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
apacheotom/guanaco-llama2-1k
apacheotom
2023-10-04T13:04:47Z
0
0
null
[ "region:us" ]
2023-10-04T13:04:47Z
2023-10-04T13:04:46.000Z
2023-10-04T13:04:46
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1654448 num_examples: 1000 download_size: 966693 dataset_size: 1654448 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "guanaco-llama2-1k" [More I...
[ -0.31712621450424194, -0.1850084662437439, 0.25064411759376526, 0.5434030890464783, -0.5531396865844727, 0.012613237835466862, 0.3730725646018982, -0.27480971813201904, 0.9305324554443359, 0.43072932958602905, -0.7881225943565369, -0.9666924476623535, -0.7247747778892517, -0.23143085837364...
null
null
null
null
null
null
null
null
null
null
null
null
null
legacy107/qa_wikipedia_sentence_transformer_negative_farming
legacy107
2023-10-04T13:45:59Z
0
0
null
[ "region:us" ]
2023-10-04T13:45:59Z
2023-10-04T13:45:45.000Z
2023-10-04T13:45:45
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: quest...
[ -0.5249171257019043, -0.35873374342918396, 0.16856633126735687, 0.10148220509290695, -0.13634303212165833, -0.3335243761539459, 0.16561807692050934, -0.15816855430603027, 0.8143121004104614, 0.44526395201683044, -0.9606108665466309, -0.7596197128295898, -0.426712304353714, 0.09808379411697...
null
null
null
null
null
null
null
null
null
null
null
null
null
Bhavya-123/HRMS_Datahub
Bhavya-123
2023-10-04T13:51:54Z
0
1
null
[ "region:us" ]
2023-10-04T13:51:54Z
2023-10-04T13:49:09.000Z
2023-10-04T13:49:09
# Human Resource Management System (HRMS) Dataset ## Overview The Human Resource Management System (HRMS) Dataset is a collection of questions and answers related to various aspects of HRMS. It has been generated for educational purposes and is intended to be used for training and testing question-answering models in...
[ -0.27453094720840454, -0.4906961917877197, 0.07616177946329117, 0.27653753757476807, -0.21642211079597473, -0.1753258854150772, -0.10019688308238983, -0.12294817715883255, -0.12098777294158936, 0.6178907752037048, -0.8846569657325745, -0.4821978509426117, -0.057068999856710434, 0.313645780...
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null
autoevaluate/autoeval-eval-StanBienaives__french-open-fiscal-texts-default-b348f4-26735144900
autoevaluate
2023-10-04T14:08:04Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:08:04Z
2023-10-04T13:55:51.000Z
2023-10-04T13:55:51
--- type: predictions tags: - autotrain - evaluation datasets: - StanBienaives/french-open-fiscal-texts eval_info: task: summarization model: griffin/redress-clinical-hallucination-generator metrics: ['accuracy'] dataset_name: StanBienaives/french-open-fiscal-texts dataset_config: default dataset_split: tes...
[ -0.39699801802635193, -0.2769988775253296, 0.2637770175933838, 0.26672104001045227, -0.061998918652534485, -0.32389917969703674, 0.09704281389713287, -0.3440318703651428, 0.37644070386886597, 0.5211375951766968, -0.9286569356918335, -0.20638765394687653, -0.6588033437728882, 0.042843159288...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-a0cc45-27486144906
autoevaluate
2023-10-04T14:14:24Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:14:24Z
2023-10-04T13:56:35.000Z
2023-10-04T13:56:35
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: sshleifer/distill-pegasus-xsum-16-4 metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Ev...
[ -0.497814416885376, -0.07289653271436691, 0.19758783280849457, 0.14772476255893707, -0.2502824068069458, -0.13508449494838715, 0.11786597222089767, -0.4511556327342987, 0.3941682279109955, 0.3784722685813904, -1.1870379447937012, -0.11570092290639877, -0.7296510934829712, -0.11962974071502...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-a0cc45-27486144907
autoevaluate
2023-10-04T16:38:20Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:38:20Z
2023-10-04T13:56:43.000Z
2023-10-04T13:56:43
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: google/bigbird-pegasus-large-bigpatent metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain...
[ -0.49143698811531067, -0.1835855096578598, 0.2206384390592575, 0.25822409987449646, -0.14311687648296356, -0.25863224267959595, -0.006957281846553087, -0.49198004603385925, 0.3992484509944916, 0.3817785084247589, -1.0982197523117065, -0.13142868876457214, -0.7020251750946045, -0.0666554197...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-b01992-27495144908
autoevaluate
2023-10-04T14:28:43Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:28:43Z
2023-10-04T13:56:51.000Z
2023-10-04T13:56:51
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: sysresearch101/t5-large-finetuned-xsum-cnn metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Data...
[ -0.48651567101478577, -0.16938717663288116, 0.06568413227796555, 0.18790173530578613, -0.1873762011528015, -0.1925332248210907, -0.07186548411846161, -0.42047297954559326, 0.2823277711868286, 0.3532806634902954, -0.9974920749664307, -0.23189495503902435, -0.7802690267562866, -0.04715554043...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-35af0a-27496144909
autoevaluate
2023-10-04T14:28:59Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:28:59Z
2023-10-04T13:56:58.000Z
2023-10-04T13:56:58
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: sysresearch101/t5-large-finetuned-xsum-cnn metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Data...
[ -0.48651567101478577, -0.16938717663288116, 0.06568413227796555, 0.18790173530578613, -0.1873762011528015, -0.1925332248210907, -0.07186548411846161, -0.42047297954559326, 0.2823277711868286, 0.3532806634902954, -0.9974920749664307, -0.23189495503902435, -0.7802690267562866, -0.04715554043...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-35af0a-27496144910
autoevaluate
2023-10-04T20:24:55Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T20:24:55Z
2023-10-04T13:57:07.000Z
2023-10-04T13:57:07
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: pszemraj/led-base-book-summary metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for...
[ -0.44545507431030273, -0.24434272944927216, 0.07812400907278061, 0.13199788331985474, -0.24321870505809784, -0.13118863105773926, -0.0172872394323349, -0.3257565498352051, 0.15666648745536804, 0.3817076086997986, -1.0459710359573364, -0.2738923728466034, -0.7003908753395081, -0.05232571810...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-35af0a-27496144911
autoevaluate
2023-10-04T17:41:18Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:41:18Z
2023-10-04T13:57:13.000Z
2023-10-04T13:57:13
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: pszemraj/led-large-book-summary metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card fo...
[ -0.4465945065021515, -0.22960896790027618, 0.10211560875177383, 0.14462172985076904, -0.24557781219482422, -0.15690381824970245, -0.04543185606598854, -0.3340288996696472, 0.164293110370636, 0.39614614844322205, -1.01071298122406, -0.267820805311203, -0.7019103765487671, -0.028241286054253...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-1c6815-27497144912
autoevaluate
2023-10-04T16:47:34Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:47:34Z
2023-10-04T13:57:22.000Z
2023-10-04T13:57:22
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: pszemraj/led-base-book-summary metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluat...
[ -0.4514142572879791, -0.1064024418592453, 0.13569459319114685, 0.058810677379369736, -0.2030387669801712, -0.11355748772621155, 0.04543301463127136, -0.281547874212265, 0.22538650035858154, 0.42152366042137146, -1.140175461769104, -0.21426036953926086, -0.5806559920310974, -0.0651443153619...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-1c6815-27497144913
autoevaluate
2023-10-04T17:30:38Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T17:30:38Z
2023-10-04T13:57:29.000Z
2023-10-04T13:57:29
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: pszemraj/led-large-book-summary metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evalua...
[ -0.4541178047657013, -0.09238376468420029, 0.16320738196372986, 0.07285578548908234, -0.20236924290657043, -0.14858892560005188, -0.006355056539177895, -0.2865980565547943, 0.21658490598201752, 0.4396555721759796, -1.0912854671478271, -0.21673792600631714, -0.5816001296043396, -0.037403147...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-25089b-27589144917
autoevaluate
2023-10-04T19:18:47Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T19:18:47Z
2023-10-04T13:58:02.000Z
2023-10-04T13:58:02
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: pszemraj/tglobal-large-booksum-WIP4-r1 metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset ...
[ -0.4295264184474945, -0.2310725748538971, 0.1361270695924759, 0.17080341279506683, -0.16434039175510406, -0.08170469850301743, -0.027074187994003296, -0.3655109107494354, 0.185415580868721, 0.4073479175567627, -0.9639554023742676, -0.30459046363830566, -0.7892257571220398, -0.0871383324265...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-zeroshot__twitter-financial-news-topic-zeroshot__twitte-178919-28982144928
autoevaluate
2023-10-04T14:04:01Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:04:01Z
2023-10-04T13:59:37.000Z
2023-10-04T13:59:37
--- type: predictions tags: - autotrain - evaluation datasets: - zeroshot/twitter-financial-news-topic eval_info: task: summarization model: phpaiola/ptt5-base-summ-temario metrics: ['bertscore'] dataset_name: zeroshot/twitter-financial-news-topic dataset_config: zeroshot--twitter-financial-news-topic datas...
[ -0.32034555077552795, -0.24473817646503448, 0.203769251704216, 0.2950352728366852, -0.2778535783290863, 0.028240730985999107, -0.03722595423460007, -0.3453280031681061, 0.3401828408241272, 0.3269529342651367, -0.9141144156455994, -0.29573068022727966, -0.7304575443267822, -0.17242461442947...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-zeroshot__twitter-financial-news-topic-zeroshot__twitte-178919-28982144929
autoevaluate
2023-10-04T14:56:56Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:56:56Z
2023-10-04T13:59:46.000Z
2023-10-04T13:59:46
--- 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...
[ -0.394137442111969, -0.43538224697113037, 0.1420900970697403, 0.2623484134674072, -0.14573518931865692, 0.013577762059867382, -0.1049191802740097, -0.3129626512527466, 0.3960653841495514, 0.34964585304260254, -0.9043048024177551, -0.2555561065673828, -0.6624441742897034, -0.247781485319137...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-zeroshot__twitter-financial-news-topic-zeroshot__twitte-e590a9-28983144930
autoevaluate
2023-10-04T14:04:12Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:04:12Z
2023-10-04T13:59:56.000Z
2023-10-04T13:59:56
--- type: predictions tags: - autotrain - evaluation datasets: - zeroshot/twitter-financial-news-topic eval_info: task: summarization model: phpaiola/ptt5-base-summ-temario metrics: ['bertscore'] dataset_name: zeroshot/twitter-financial-news-topic dataset_config: zeroshot--twitter-financial-news-topic datas...
[ -0.32034555077552795, -0.24473817646503448, 0.203769251704216, 0.2950352728366852, -0.2778535783290863, 0.028240730985999107, -0.03722595423460007, -0.3453280031681061, 0.3401828408241272, 0.3269529342651367, -0.9141144156455994, -0.29573068022727966, -0.7304575443267822, -0.17242461442947...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-zeroshot__twitter-financial-news-topic-zeroshot__twitte-e590a9-28983144931
autoevaluate
2023-10-04T14:54:14Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:54:14Z
2023-10-04T14:00:06.000Z
2023-10-04T14:00:06
--- 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...
[ -0.394137442111969, -0.43538224697113037, 0.1420900970697403, 0.2623484134674072, -0.14573518931865692, 0.013577762059867382, -0.1049191802740097, -0.3129626512527466, 0.3960653841495514, 0.34964585304260254, -0.9043048024177551, -0.2555561065673828, -0.6624441742897034, -0.247781485319137...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-tweet_eval-sentiment-be35d9-30474144941
autoevaluate
2023-10-04T14:02:43Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:02:43Z
2023-10-04T14:01:37.000Z
2023-10-04T14:01:37
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: cardiffnlp/twitter-roberta-base-sentiment-latest metrics: [] dataset_name: tweet_eval dataset_config: sentiment dataset_split: test col_mapping: text: text target: label -...
[ -0.3939360976219177, -0.2826574742794037, 0.26068204641342163, 0.27802422642707825, -0.029318194836378098, 0.12290217727422714, -0.15196342766284943, -0.39183133840560913, 0.09918180108070374, 0.2204752415418625, -0.8722137212753296, -0.37484532594680786, -0.7873857617378235, -0.0643397420...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-tweet_eval-offensive-736f56-30712144944
autoevaluate
2023-10-04T14:03:15Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:03:15Z
2023-10-04T14:02:08.000Z
2023-10-04T14:02:08
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: cardiffnlp/twitter-roberta-base-2021-124m-offensive metrics: ['bertscore'] dataset_name: tweet_eval dataset_config: offensive dataset_split: train col_mapping: text: text ...
[ -0.20374871790409088, -0.36769524216651917, 0.16331610083580017, 0.261631578207016, -0.04019201546907425, 0.08234921842813492, -0.1536928415298462, -0.5325102210044861, 0.050290606915950775, 0.296392023563385, -0.8470197916030884, -0.31810706853866577, -0.9612272381782532, -0.0015712101012...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-tweet_eval-offensive-93ad2d-30713144950
autoevaluate
2023-10-04T14:04:12Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:04:12Z
2023-10-04T14:03:05.000Z
2023-10-04T14:03:05
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: cardiffnlp/twitter-roberta-base-2021-124m-offensive metrics: ['bertscore'] dataset_name: tweet_eval dataset_config: offensive dataset_split: train col_mapping: text: text ...
[ -0.20374871790409088, -0.36769524216651917, 0.16331610083580017, 0.261631578207016, -0.04019201546907425, 0.08234921842813492, -0.1536928415298462, -0.5325102210044861, 0.050290606915950775, 0.296392023563385, -0.8470197916030884, -0.31810706853866577, -0.9612272381782532, -0.0015712101012...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-tweet_eval-offensive-93ad2d-30713144953
autoevaluate
2023-10-04T14:04:45Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:04:45Z
2023-10-04T14:03:37.000Z
2023-10-04T14:03:37
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: elozano/tweet_offensive_eval metrics: ['bertscore'] dataset_name: tweet_eval dataset_config: offensive dataset_split: train col_mapping: text: text target: label --- # Dat...
[ -0.21403804421424866, -0.40499618649482727, 0.1506420224905014, 0.19027937948703766, -0.033243078738451004, 0.1346544325351715, -0.11285056918859482, -0.5208881497383118, 0.11007718741893768, 0.2972193658351898, -0.8204928636550903, -0.3428862690925598, -0.9465466737747192, 0.0056888181716...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-tweet_eval-offensive-736f56-30712144947
autoevaluate
2023-10-04T14:04:47Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:04:47Z
2023-10-04T14:03:38.000Z
2023-10-04T14:03:38
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: elozano/tweet_offensive_eval metrics: ['bertscore'] dataset_name: tweet_eval dataset_config: offensive dataset_split: train col_mapping: text: text target: label --- # Dat...
[ -0.21403804421424866, -0.40499618649482727, 0.1506420224905014, 0.19027937948703766, -0.033243078738451004, 0.1346544325351715, -0.11285056918859482, -0.5208881497383118, 0.11007718741893768, 0.2972193658351898, -0.8204928636550903, -0.3428862690925598, -0.9465466737747192, 0.0056888181716...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-tweet_eval-offensive-f58805-30720144955
autoevaluate
2023-10-04T14:05:09Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:05:09Z
2023-10-04T14:03:57.000Z
2023-10-04T14:03:57
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: cardiffnlp/roberta-base-offensive metrics: ['bertscore'] dataset_name: tweet_eval dataset_config: offensive dataset_split: train col_mapping: text: text target: label --- ...
[ -0.20911617577075958, -0.3711274266242981, 0.1447632610797882, 0.2154216319322586, -0.03797507658600807, 0.06520125269889832, -0.14241476356983185, -0.5020613670349121, 0.040532439947128296, 0.315288245677948, -0.8382714986801147, -0.3277050852775574, -0.9782316088676453, 0.017672108486294...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-tweet_eval-offensive-f58805-30720144956
autoevaluate
2023-10-04T14:05:10Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:05:10Z
2023-10-04T14:04:07.000Z
2023-10-04T14:04:07
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: cardiffnlp/twitter-roberta-base-2021-124m-offensive metrics: ['bertscore'] dataset_name: tweet_eval dataset_config: offensive dataset_split: train col_mapping: text: text ...
[ -0.20374871790409088, -0.36769524216651917, 0.16331610083580017, 0.261631578207016, -0.04019201546907425, 0.08234921842813492, -0.1536928415298462, -0.5325102210044861, 0.050290606915950775, 0.296392023563385, -0.8470197916030884, -0.31810706853866577, -0.9612272381782532, -0.0015712101012...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-tweet_eval-offensive-f58805-30720144959
autoevaluate
2023-10-04T14:05:44Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:05:44Z
2023-10-04T14:04:36.000Z
2023-10-04T14:04:36
--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: elozano/tweet_offensive_eval metrics: ['bertscore'] dataset_name: tweet_eval dataset_config: offensive dataset_split: train col_mapping: text: text target: label --- # Dat...
[ -0.21403804421424866, -0.40499618649482727, 0.1506420224905014, 0.19027937948703766, -0.033243078738451004, 0.1346544325351715, -0.11285056918859482, -0.5208881497383118, 0.11007718741893768, 0.2972193658351898, -0.8204928636550903, -0.3428862690925598, -0.9465466737747192, 0.0056888181716...
null
null
null
null
null
null
null
null
null
null
null
null
null
tessiw/test
tessiw
2023-10-04T14:07:26Z
0
0
null
[ "region:us" ]
2023-10-04T14:07:26Z
2023-10-04T14:05:23.000Z
2023-10-04T14:05:23
--- configs: - config_name: default data_files: - split: train2 path: data/train2-* dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train2 num_bytes: 1754 num_...
[ -0.6750997304916382, -0.4192483425140381, 0.08099692314863205, 0.19183449447155, -0.1334189772605896, 0.008788415230810642, 0.24120880663394928, -0.13406147062778473, 0.7381711006164551, 0.3334384560585022, -0.8203108310699463, -0.6550991535186768, -0.47400179505348206, -0.1874891966581344...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-67ab09-31609144969
autoevaluate
2023-10-04T14:11:55Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:11:55Z
2023-10-04T14:06:10.000Z
2023-10-04T14:06:10
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: 0ys/mt5-small-finetuned-amazon-en-es metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Ca...
[ -0.47737210988998413, -0.3191029131412506, 0.08130162209272385, 0.18145106732845306, -0.21477484703063965, -0.13609525561332703, 0.06729097664356232, -0.44654181599617004, 0.21976591646671295, 0.4110306203365326, -1.0225032567977905, -0.27431243658065796, -0.7335166335105896, 0.01945804245...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-67ab09-31609144970
autoevaluate
2023-10-04T14:16:23Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:16:23Z
2023-10-04T14:06:19.000Z
2023-10-04T14:06:19
--- 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 f...
[ -0.4392560124397278, -0.20792892575263977, 0.08709228783845901, 0.23428888618946075, -0.18615193665027618, -0.09174264967441559, 0.11902307718992233, -0.43385228514671326, 0.22969786822795868, 0.3137839436531067, -0.823468804359436, -0.2555006742477417, -0.7530731558799744, -0.005120649468...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-37f310-31613144971
autoevaluate
2023-10-04T14:12:03Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:12:03Z
2023-10-04T14:06:29.000Z
2023-10-04T14:06:29
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: 0ys/mt5-small-finetuned-amazon-en-es metrics: ['rouge'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dat...
[ -0.47737210988998413, -0.3191029131412506, 0.08130162209272385, 0.18145106732845306, -0.21477484703063965, -0.13609525561332703, 0.06729097664356232, -0.44654181599617004, 0.21976591646671295, 0.4110306203365326, -1.0225032567977905, -0.27431243658065796, -0.7335166335105896, 0.01945804245...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-37f310-31613144972
autoevaluate
2023-10-04T14:16:47Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:16:47Z
2023-10-04T14:06:38.000Z
2023-10-04T14:06:38
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: ARTeLab/it5-summarization-ilpost metrics: ['rouge'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset...
[ -0.4392560124397278, -0.20792892575263977, 0.08709228783845901, 0.23428888618946075, -0.18615193665027618, -0.09174264967441559, 0.11902307718992233, -0.43385228514671326, 0.22969786822795868, 0.3137839436531067, -0.823468804359436, -0.2555006742477417, -0.7530731558799744, -0.005120649468...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-37f310-31613144973
autoevaluate
2023-10-04T14:17:01Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:17:01Z
2023-10-04T14:06:47.000Z
2023-10-04T14:06:47
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: ARTeLab/it5-summarization-fanpage metrics: ['rouge'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Datase...
[ -0.44515788555145264, -0.18273264169692993, 0.06397171318531036, 0.24015472829341888, -0.16740155220031738, -0.07600107043981552, 0.1015077531337738, -0.3858785033226013, 0.3002487123012543, 0.29961225390434265, -0.9021934270858765, -0.22808249294757843, -0.6810035705566406, -0.02173014171...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-e1b364-31627144974
autoevaluate
2023-10-04T14:17:00Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:17:00Z
2023-10-04T14:06:56.000Z
2023-10-04T14:06:56
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: ARTeLab/it5-summarization-fanpage metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card ...
[ -0.44520071148872375, -0.17883804440498352, 0.10439113527536392, 0.24127323925495148, -0.16564993560314178, -0.08902642130851746, 0.09898789972066879, -0.3918524384498596, 0.29784613847732544, 0.2813887298107147, -0.9380654096603394, -0.21661227941513062, -0.6677368879318237, -0.0508763045...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-multi_nli-default-725a45-31703144975
autoevaluate
2023-10-04T15:14:29Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:14:29Z
2023-10-04T14:07:05.000Z
2023-10-04T14:07:05
--- type: predictions tags: - autotrain - evaluation datasets: - multi_nli eval_info: task: natural_language_inference model: HiTZ/A2T_RoBERTa_SMFA_ACE-arg metrics: [] dataset_name: multi_nli dataset_config: default dataset_split: train col_mapping: text1: premise text2: hypothesis target: lab...
[ -0.44105392694473267, -0.5451762080192566, 0.30792489647865295, 0.22035525739192963, 0.079388827085495, -0.09644349664449692, -0.09978023916482925, -0.4699614942073822, 0.208785742521286, 0.4410772919654846, -1.064961314201355, -0.15414251387119293, -0.6794609427452087, 0.09662139415740967...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-drAbreu__bc4chemd_ner-bc4chemd-aa2b75-31927145000
autoevaluate
2023-10-04T14:16:15Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:16:15Z
2023-10-04T14:11:07.000Z
2023-10-04T14:11:07
--- type: predictions tags: - autotrain - evaluation datasets: - drAbreu/bc4chemd_ner eval_info: task: entity_extraction model: sschet/biobert_chemical_ner metrics: [] dataset_name: drAbreu/bc4chemd_ner dataset_config: bc4chemd dataset_split: test col_mapping: tokens: tokens tags: ner_tags --- # D...
[ -0.26374655961990356, -0.13721536099910736, 0.30563822388648987, 0.018485208973288536, 0.08693326264619827, 0.2265963852405548, 0.11627715826034546, -0.4004725515842438, 0.19535353779792786, 0.3253828287124634, -0.8874861598014832, -0.34915998578071594, -0.5956538915634155, 0.1015008836984...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-billsum-default-bec98f-32334145011
autoevaluate
2023-10-04T14:28:44Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:28:44Z
2023-10-04T14:12:55.000Z
2023-10-04T14:12:55
--- type: predictions tags: - autotrain - evaluation datasets: - billsum eval_info: task: summarization model: PoseyATX/Moist-Pony metrics: [] dataset_name: billsum dataset_config: default dataset_split: test col_mapping: text: text target: summary --- # Dataset Card for AutoTrain Evaluator This ...
[ -0.30753564834594727, -0.16607709228992462, 0.1430773138999939, 0.12777408957481384, -0.142971470952034, -0.13607846200466156, 0.18383781611919403, -0.39989346265792847, 0.40533843636512756, 0.5965076684951782, -0.9184601306915283, -0.1669682115316391, -0.5736855268478394, -0.1567501276731...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-403a15-33262145014
autoevaluate
2023-10-04T14:15:56Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:15:56Z
2023-10-04T14:13:23.000Z
2023-10-04T14:13:23
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: Alred/t5-small-finetuned-summarization-cnn metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoT...
[ -0.5157995820045471, -0.18726828694343567, 0.07662191241979599, 0.08352591842412949, -0.1533641815185547, -0.14989221096038818, -0.027424391359090805, -0.37554362416267395, 0.27153024077415466, 0.30822744965553284, -0.9951459169387817, -0.2580958902835846, -0.6620942950248718, -0.010552847...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-cf6255-33263145015
autoevaluate
2023-10-04T14:16:03Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:16:03Z
2023-10-04T14:13:34.000Z
2023-10-04T14:13:34
--- 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...
[ -0.4178352952003479, -0.020690379664301872, 0.2295047789812088, 0.09935076534748077, -0.14596834778785706, -0.031512923538684845, 0.09724581986665726, -0.38146716356277466, 0.3018721640110016, 0.3914851248264313, -1.0894526243209839, -0.24611827731132507, -0.635177493095398, -0.04481815174...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-01da82-33500145018
autoevaluate
2023-10-04T14:16:30Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:16:30Z
2023-10-04T14:14:03.000Z
2023-10-04T14:14:03
--- 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...
[ -0.4486071467399597, -0.044820692390203476, 0.22225826978683472, 0.1237613782286644, -0.16053715348243713, 0.0078514339402318, 0.10115674138069153, -0.3986101746559143, 0.343180388212204, 0.3536889851093292, -1.1368765830993652, -0.2327997088432312, -0.6395542025566101, -0.0086080096662044...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-amazon_reviews_multi-en-4405a7-35409145025
autoevaluate
2023-10-04T14:16:40Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:16:40Z
2023-10-04T14:15:12.000Z
2023-10-04T14:15:12
--- type: predictions tags: - autotrain - evaluation datasets: - amazon_reviews_multi eval_info: task: summarization model: 0ys/mt5-small-finetuned-amazon-en-es metrics: ['accuracy', 'bertscore', 'precision'] dataset_name: amazon_reviews_multi dataset_config: en dataset_split: test col_mapping: text: ...
[ -0.5910978317260742, -0.2216949164867401, 0.17496803402900696, 0.23655644059181213, -0.18700771033763885, -0.16602635383605957, 0.10610297322273254, -0.46652862429618835, 0.26627954840660095, 0.48265764117240906, -1.0910624265670776, -0.3098648488521576, -0.5470176339149475, -0.02675445564...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-gnad10-default-1a81d6-36119145026
autoevaluate
2023-10-04T14:16:33Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:16:33Z
2023-10-04T14:15:24.000Z
2023-10-04T14:15:24
--- type: predictions tags: - autotrain - evaluation datasets: - gnad10 eval_info: task: multi_class_classification model: Mathking/bert-base-german-cased-gnad10 metrics: [] dataset_name: gnad10 dataset_config: default dataset_split: train col_mapping: text: text target: label --- # Dataset Card f...
[ -0.3791881203651428, -0.2791794538497925, 0.27940940856933594, 0.18741951882839203, -0.027911383658647537, -0.0063675385899841785, -0.0660669133067131, -0.4087011516094208, 0.07687606662511826, 0.24783076345920563, -0.9090480208396912, -0.23200924694538116, -0.7461767196655273, -0.04944255...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-xsum-default-79b8e9-36674145028
autoevaluate
2023-10-04T14:48:13Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:48:13Z
2023-10-04T14:15:44.000Z
2023-10-04T14:15:44
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: stacked-summaries/flan-t5-large-stacked-xsum-1024 metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card fo...
[ -0.47875869274139404, -0.10436172038316727, 0.13997873663902283, 0.16082824766635895, -0.033947113901376724, 0.009771518409252167, 0.07410917431116104, -0.4700871407985687, 0.3478088974952698, 0.4967285692691803, -0.9640456438064575, -0.16763612627983093, -0.6360102295875549, -0.1275165826...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-social_i_qa-default-cabb3b-37040145034
autoevaluate
2023-10-04T14:23:06Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:23:06Z
2023-10-04T14:16:44.000Z
2023-10-04T14:16:44
--- type: predictions tags: - autotrain - evaluation datasets: - social_i_qa eval_info: task: extractive_question_answering model: vvincentt/roberta_test metrics: [] dataset_name: social_i_qa dataset_config: default dataset_split: train col_mapping: context: context question: question answers-...
[ -0.4920700490474701, -0.4973142445087433, 0.31996679306030273, 0.1327531635761261, -0.016960235312581062, 0.0038829005789011717, 0.17301492393016815, -0.4133024513721466, 0.27666187286376953, 0.3642171025276184, -1.1523867845535278, -0.09872104972600937, -0.5648539662361145, -0.06630063056...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-social_i_qa-default-cabb3b-37040145035
autoevaluate
2023-10-04T14:23:10Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:23:10Z
2023-10-04T14:16:55.000Z
2023-10-04T14:16:55
--- type: predictions tags: - autotrain - evaluation datasets: - social_i_qa eval_info: task: extractive_question_answering model: 96harsh56/bert_test1 metrics: [] dataset_name: social_i_qa dataset_config: default dataset_split: train col_mapping: context: context question: question answers-te...
[ -0.5471597909927368, -0.5159005522727966, 0.2676735520362854, 0.16622129082679749, -0.0009742351830936968, -0.006997251883149147, 0.19178389012813568, -0.44380104541778564, 0.24991542100906372, 0.30042657256126404, -1.2006490230560303, -0.016986139118671417, -0.5275565981864929, -0.0910911...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-social_i_qa-default-cabb3b-37040145036
autoevaluate
2023-10-04T14:22:00Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:22:00Z
2023-10-04T14:17:06.000Z
2023-10-04T14:17:06
--- type: predictions tags: - autotrain - evaluation datasets: - social_i_qa eval_info: task: extractive_question_answering model: 21iridescent/distilroberta-base-finetuned-squad2-lwt metrics: [] dataset_name: social_i_qa dataset_config: default dataset_split: train col_mapping: context: context q...
[ -0.4919893145561218, -0.5387442708015442, 0.23686696588993073, 0.228908970952034, 0.018509861081838608, 0.16426554322242737, 0.22873374819755554, -0.49771472811698914, 0.18436945974826813, 0.28816190361976624, -1.2201402187347412, -0.00020056747598573565, -0.5626587271690369, 0.01054890174...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-acronym_identification-default-7559c8-37651145037
autoevaluate
2023-10-04T14:20:43Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:20:43Z
2023-10-04T14:17:15.000Z
2023-10-04T14:17:15
--- type: predictions tags: - autotrain - evaluation datasets: - acronym_identification eval_info: task: entity_extraction model: lewtun/autotrain-acronym-identification-7324788 metrics: ['angelina-wang/directional_bias_amplification'] dataset_name: acronym_identification dataset_config: default dataset_spl...
[ -0.36246782541275024, -0.23902162909507751, 0.14461509883403778, 0.20827533304691315, -0.2363552749156952, 0.05614085868000984, 0.16524606943130493, -0.5489158034324646, 0.24178792536258698, 0.14790189266204834, -0.8761807084083557, -0.23512381315231323, -0.756033718585968, 0.0129488520324...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-acronym_identification-default-b06490-37652145038
autoevaluate
2023-10-04T14:20:51Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:20:51Z
2023-10-04T14:17:27.000Z
2023-10-04T14:17:27
--- type: predictions tags: - autotrain - evaluation datasets: - acronym_identification eval_info: task: entity_extraction model: lewtun/autotrain-acronym-identification-7324788 metrics: ['angelina-wang/directional_bias_amplification'] dataset_name: acronym_identification dataset_config: default dataset_spl...
[ -0.36246782541275024, -0.23902162909507751, 0.14461509883403778, 0.20827533304691315, -0.2363552749156952, 0.05614085868000984, 0.16524606943130493, -0.5489158034324646, 0.24178792536258698, 0.14790189266204834, -0.8761807084083557, -0.23512381315231323, -0.756033718585968, 0.0129488520324...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-acronym_identification-default-ef327c-37654145039
autoevaluate
2023-10-04T14:21:00Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:21:00Z
2023-10-04T14:17:36.000Z
2023-10-04T14:17:36
--- type: predictions tags: - autotrain - evaluation datasets: - acronym_identification eval_info: task: entity_extraction model: lewtun/autotrain-acronym-identification-7324788 metrics: ['angelina-wang/directional_bias_amplification'] dataset_name: acronym_identification dataset_config: default dataset_spl...
[ -0.36246782541275024, -0.23902162909507751, 0.14461509883403778, 0.20827533304691315, -0.2363552749156952, 0.05614085868000984, 0.16524606943130493, -0.5489158034324646, 0.24178792536258698, 0.14790189266204834, -0.8761807084083557, -0.23512381315231323, -0.756033718585968, 0.0129488520324...
null
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null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-6c534f-38130145044
autoevaluate
2023-10-04T14:24:47Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:24:47Z
2023-10-04T14:18:24.000Z
2023-10-04T14:18:24
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: yuvraj/summarizer-cnndm metrics: ['rouge', 'accuracy', 'bleu'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --...
[ -0.47985363006591797, -0.2933090627193451, 0.05952107906341553, 0.1895030438899994, -0.2691566050052643, -0.15982557833194733, 0.0167287215590477, -0.3404625654220581, 0.25008735060691833, 0.27195218205451965, -0.9564839005470276, -0.17792439460754395, -0.6769845485687256, -0.0230552535504...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-6c534f-38130145045
autoevaluate
2023-10-04T16:01:24Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:01:24Z
2023-10-04T14:18:34.000Z
2023-10-04T14:18:34
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: google/pegasus-cnn_dailymail metrics: ['rouge', 'accuracy', 'bleu'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highligh...
[ -0.49586817622184753, -0.2702847719192505, 0.07546699047088623, 0.2269575148820877, -0.25884392857551575, -0.18675312399864197, 0.010819556191563606, -0.39788299798965454, 0.32819104194641113, 0.30905455350875854, -1.0441168546676636, -0.2532685399055481, -0.7215218544006348, -0.0853553041...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-6c534f-38130145046
autoevaluate
2023-10-04T15:56:37Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:56:37Z
2023-10-04T14:18:44.000Z
2023-10-04T14:18:44
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: google/roberta2roberta_L-24_cnn_daily_mail metrics: ['rouge', 'accuracy', 'bleu'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article ta...
[ -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
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null
null
null
null
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null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-6c534f-38130145047
autoevaluate
2023-10-04T14:22:14Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:22:14Z
2023-10-04T14:18:54.000Z
2023-10-04T14:18:54
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: minhtoan/t5-finetune-cnndaily-news metrics: ['rouge', 'accuracy', 'bleu'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: hi...
[ -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
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null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-ce0087-41465145072
autoevaluate
2023-10-04T15:57:56Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:57:56Z
2023-10-04T14:23:19.000Z
2023-10-04T14:23:19
--- 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...
[ -0.38477396965026855, -0.380365252494812, 0.1541658639907837, 0.18484757840633392, -0.14484843611717224, -0.08414609730243683, -0.04210102558135986, -0.3938804566860199, 0.2235834151506424, 0.3450775146484375, -0.9673361778259277, -0.2564348876476288, -0.7724000811576843, -0.08285347372293...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-ce0087-41465145073
autoevaluate
2023-10-04T15:24:03Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:24:03Z
2023-10-04T14:23:30.000Z
2023-10-04T14:23:30
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: philschmid/bart-large-cnn-samsum metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card f...
[ -0.5541146397590637, -0.2859153151512146, 0.10804133117198944, 0.22195100784301758, -0.21745865046977997, -0.1533038467168808, -0.10074573010206223, -0.3994731605052948, 0.33392149209976196, 0.4558401107788086, -0.9449486136436462, -0.2506266236305237, -0.7477888464927673, -0.0191714130342...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-d83e4c-41468145074
autoevaluate
2023-10-04T15:25:27Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:25:27Z
2023-10-04T14:23:42.000Z
2023-10-04T14:23:42
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: philschmid/bart-large-cnn-samsum metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card f...
[ -0.5541146397590637, -0.2859153151512146, 0.10804133117198944, 0.22195100784301758, -0.21745865046977997, -0.1533038467168808, -0.10074573010206223, -0.3994731605052948, 0.33392149209976196, 0.4558401107788086, -0.9449486136436462, -0.2506266236305237, -0.7477888464927673, -0.0191714130342...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-d83e4c-41468145075
autoevaluate
2023-10-04T15:58:58Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:58:58Z
2023-10-04T14:23:51.000Z
2023-10-04T14:23:51
--- 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...
[ -0.38477396965026855, -0.380365252494812, 0.1541658639907837, 0.18484757840633392, -0.14484843611717224, -0.08414609730243683, -0.04210102558135986, -0.3938804566860199, 0.2235834151506424, 0.3450775146484375, -0.9673361778259277, -0.2564348876476288, -0.7724000811576843, -0.08285347372293...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-samsum-samsum-e62894-41756145079
autoevaluate
2023-10-04T14:25:40Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:25:40Z
2023-10-04T14:24:31.000Z
2023-10-04T14:24:31
--- type: predictions tags: - autotrain - evaluation datasets: - samsum eval_info: task: summarization model: achimoraites/flan-t5-base-samsum metrics: [] dataset_name: samsum dataset_config: samsum dataset_split: test col_mapping: text: dialogue target: summary --- # Dataset Card for AutoTrain Ev...
[ -0.4372051954269409, -0.11411472409963608, 0.1571577936410904, 0.13184969127178192, -0.05534449219703674, -0.07575438916683197, 0.080437071621418, -0.40907469391822815, 0.3459681570529938, 0.35856905579566956, -1.1261720657348633, -0.1995900422334671, -0.6704036593437195, -0.03414453193545...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-f4ef6e-41949145080
autoevaluate
2023-10-04T14:35:01Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:35:01Z
2023-10-04T14:24:42.000Z
2023-10-04T14:24:42
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: ARTeLab/it5-summarization-fanpage metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card ...
[ -0.4319990575313568, -0.23129115998744965, 0.1170334666967392, 0.21198783814907074, -0.12495502829551697, -0.12687522172927856, 0.07983533293008804, -0.38668134808540344, 0.3510442078113556, 0.26651114225387573, -0.8934173583984375, -0.21961167454719543, -0.6957651972770691, -0.07456091046...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-ccdv__arxiv-summarization-section-8d788a-42021145085
autoevaluate
2023-10-05T07:33:08Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-05T07:33:08Z
2023-10-04T14:25:37.000Z
2023-10-04T14:25:37
--- type: predictions tags: - autotrain - evaluation datasets: - ccdv/arxiv-summarization eval_info: task: summarization model: ArtifactAI/led_large_16384_arxiv_summarization metrics: [] dataset_name: ccdv/arxiv-summarization dataset_config: section dataset_split: test col_mapping: text: article t...
[ -0.4504297077655792, -0.22180745005607605, 0.22554220259189606, 0.13460083305835724, -0.2500576972961426, -0.22398929297924042, 0.05535221844911575, -0.3557814657688141, 0.20765240490436554, 0.35716694593429565, -0.887424647808075, -0.1165747344493866, -0.583906352519989, -0.05698785558342...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-ccdv__arxiv-summarization-section-c4e7c7-42022145086
autoevaluate
2023-10-04T22:36:38Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T22:36:38Z
2023-10-04T14:25:48.000Z
2023-10-04T14:25:48
--- type: predictions tags: - autotrain - evaluation datasets: - ccdv/arxiv-summarization eval_info: task: summarization model: ArtifactAI/led_base_16384_arxiv_summarization metrics: [] dataset_name: ccdv/arxiv-summarization dataset_config: section dataset_split: test col_mapping: text: article ta...
[ -0.4314289093017578, -0.22979430854320526, 0.1851218193769455, 0.10628721863031387, -0.2512056529521942, -0.2060309648513794, 0.10316652059555054, -0.337314248085022, 0.18152868747711182, 0.3320460915565491, -0.9155097603797913, -0.1248542070388794, -0.5663341283798218, -0.0841037556529045...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-677cfa-42096145090
autoevaluate
2023-10-04T14:27:20Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:27:20Z
2023-10-04T14:26:30.000Z
2023-10-04T14:26:30
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: 123tarunanand/roberta-base-finetuned metrics: ['bertscore'] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: c...
[ -0.5296304821968079, -0.5730248689651489, 0.2778438329696655, 0.017156774178147316, 0.11452676355838776, -0.08778532594442368, 0.16345694661140442, -0.26992812752723694, 0.013379249721765518, 0.5312894582748413, -1.0901495218276978, -0.16615980863571167, -0.5384013652801514, -0.13301400840...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-wmt16-cs-en-ba4e67-42154145091
autoevaluate
2023-10-04T18:13:25Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T18:13:25Z
2023-10-04T14:26:50.000Z
2023-10-04T14:26:50
--- type: predictions tags: - autotrain - evaluation datasets: - wmt16 eval_info: task: translation model: Lvxue/finetuned-mt5-small-10epoch metrics: ['bleu'] dataset_name: wmt16 dataset_config: cs-en dataset_split: train col_mapping: source: translation.cs target: translation.en --- # Dataset Car...
[ -0.49057164788246155, -0.15005965530872345, 0.29344990849494934, 0.13065634667873383, -0.2478523999452591, -0.06983893364667892, -0.08894646167755127, -0.5211107730865479, 0.13818496465682983, 0.40479639172554016, -1.1088539361953735, -0.18635712563991547, -0.7231538891792297, -0.004514994...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-wmt16-cs-en-110a70-42155145092
autoevaluate
2023-10-04T18:11:09Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T18:11:09Z
2023-10-04T14:26:57.000Z
2023-10-04T14:26:57
--- type: predictions tags: - autotrain - evaluation datasets: - wmt16 eval_info: task: translation model: Lvxue/finetuned-mt5-small-10epoch metrics: ['accuracy'] dataset_name: wmt16 dataset_config: cs-en dataset_split: train col_mapping: source: translation.cs target: translation.en --- # Dataset...
[ -0.49057164788246155, -0.15005965530872345, 0.29344990849494934, 0.13065634667873383, -0.2478523999452591, -0.06983893364667892, -0.08894646167755127, -0.5211107730865479, 0.13818496465682983, 0.40479639172554016, -1.1088539361953735, -0.18635712563991547, -0.7231538891792297, -0.004514994...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-wmt16-de-en-bfa340-42157145094
autoevaluate
2023-10-04T14:29:49Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:29:49Z
2023-10-04T14:28:14.000Z
2023-10-04T14:28:14
--- type: predictions tags: - autotrain - evaluation datasets: - wmt16 eval_info: task: translation model: Lvxue/finetuned-mt5-small-10epoch metrics: ['accuracy'] dataset_name: wmt16 dataset_config: de-en dataset_split: test col_mapping: source: translation.en target: translation.de --- # Dataset ...
[ -0.5143537521362305, -0.19773735105991364, 0.29203516244888306, 0.10371261090040207, -0.258660227060318, -0.12256863713264465, -0.05213632434606552, -0.537764847278595, 0.12616375088691711, 0.4269264340400696, -1.1275196075439453, -0.1974097490310669, -0.7140696048736572, 0.029672702774405...
null
null
null
null
null
null
null
null
null
null
null
null
null
ASIDS/LewdRuStoryforTrain
ASIDS
2023-10-05T12:06:39Z
0
0
null
[ "task_categories:text-generation", "size_categories:1K<n<10K", "language:ru", "license:mit", "not-for-all-audiences", "instruction-finetuning", "region:us" ]
2023-10-05T12:06:39Z
2023-10-04T14:30:09.000Z
2023-10-04T14:30:09
--- language: - ru tags: - not-for-all-audiences - instruction-finetuning pretty_name: LewdRuStoryforTrain size_categories: - 1K<n<10K license: mit task_categories: - text-generation --- Куча всяких рандомных порно рассказов из интеренета, из разных тегов, но без жести.
[ -0.20253153145313263, -0.4539719820022583, 0.5771821737289429, 0.007882925681769848, -0.38746508955955505, 0.4612845480442047, 0.2319001704454422, -0.07580381631851196, 0.5813418626785278, 0.3848411440849304, -0.8387404084205627, -0.6505885720252991, -0.4146553575992584, -0.315830796957016...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-imdb-plain_text-7301d6-42320145096
autoevaluate
2023-10-04T14:32:55Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:32:55Z
2023-10-04T14:30:38.000Z
2023-10-04T14:30:38
--- type: predictions tags: - autotrain - evaluation datasets: - imdb eval_info: task: binary_classification model: fabriceyhc/bert-base-uncased-imdb metrics: [] dataset_name: imdb dataset_config: plain_text dataset_split: test col_mapping: text: text target: label --- # Dataset Card for AutoTrain...
[ -0.47271397709846497, -0.28874292969703674, 0.24080534279346466, 0.0029612809885293245, -0.16461259126663208, 0.0652167797088623, 0.012409535236656666, -0.4062345325946808, 0.19069072604179382, 0.5447410941123962, -0.9824413657188416, -0.16517087817192078, -0.7603618502616882, -0.062854826...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-banking77-default-9850b7-42924145110
autoevaluate
2023-10-04T14:44:27Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:44:27Z
2023-10-04T14:31:51.000Z
2023-10-04T14:31:51
--- type: predictions tags: - autotrain - evaluation datasets: - banking77 eval_info: task: summarization model: philschmid/distilbart-cnn-12-6-samsum metrics: [] dataset_name: banking77 dataset_config: default dataset_split: train col_mapping: text: text target: label --- # Dataset Card for AutoT...
[ -0.5026828050613403, -0.24708406627178192, 0.03565852716565132, 0.2149844765663147, -0.28338271379470825, -0.088215671479702, 0.05463084951043129, -0.3459990322589874, 0.18611611425876617, 0.43910735845565796, -0.8464834094047546, -0.20096300542354584, -0.8124514818191528, -0.0785130262374...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-73237a-43943145136
autoevaluate
2023-10-04T15:18:17Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:18:17Z
2023-10-04T14:43:12.000Z
2023-10-04T14:43:12
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: h...
[ -0.5221020579338074, -0.23309962451457977, 0.06799349933862686, 0.1361769288778305, -0.133804589509964, -0.25266319513320923, -0.10176878422498703, -0.4625883400440216, 0.2539008855819702, 0.35750240087509155, -0.9930763244628906, -0.17009814083576202, -0.6311279535293579, -0.0761120244860...
null
null
null
null
null
null
null
null
null
null
null
null
null
the-rizz/the-rizz-corpus
the-rizz
2023-10-04T14:43:56Z
0
0
null
[ "region:us" ]
2023-10-04T14:43:56Z
2023-10-04T14:43:36.000Z
2023-10-04T14:43:36
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-adversarialQA-6fa21e-43607145128
autoevaluate
2023-10-04T14:47:16Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:47:16Z
2023-10-04T14:46:21.000Z
2023-10-04T14:46:21
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: 1987kostya/distilbert-base-uncased-finetuned-squad metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context...
[ -0.5261315703392029, -0.5752647519111633, 0.26727965474128723, 0.050481103360652924, 0.10650394856929779, 0.027865774929523468, 0.18389664590358734, -0.27044326066970825, 0.01877616159617901, 0.42889052629470825, -1.2056753635406494, -0.09914681315422058, -0.5533393621444702, -0.0372245423...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-multi_news-default-6ca477-44786145148
autoevaluate
2023-10-04T14:52:12Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:52:12Z
2023-10-04T14:46:40.000Z
2023-10-04T14:46:40
--- type: predictions tags: - autotrain - evaluation datasets: - multi_news eval_info: task: summarization model: t5-base metrics: ['rouge'] dataset_name: multi_news dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluator ...
[ -0.48656129837036133, -0.15276971459388733, 0.22514820098876953, 0.23913972079753876, -0.17725498974323273, 0.028680192306637764, 0.04498961940407753, -0.3619462549686432, 0.2279510498046875, 0.33184897899627686, -1.059073567390442, -0.33856746554374695, -0.6519439220428467, -0.04115002602...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-multi_news-default-52dcdc-44771145146
autoevaluate
2023-10-04T16:36:10Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:36:10Z
2023-10-04T14:46:47.000Z
2023-10-04T14:46:47
--- type: predictions tags: - autotrain - evaluation datasets: - multi_news eval_info: task: summarization model: google/pegasus-multi_news metrics: ['rouge'] dataset_name: multi_news dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for Aut...
[ -0.5624458193778992, -0.24714328348636627, 0.2159997671842575, 0.21912804245948792, -0.22106687724590302, -0.14652986824512482, 0.0322677306830883, -0.37481051683425903, 0.41500309109687805, 0.3613990843296051, -1.098663330078125, -0.20462621748447418, -0.6748577356338501, -0.1327410191297...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-af1ac4-44796145150
autoevaluate
2023-10-04T14:56:38Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:56:38Z
2023-10-04T14:47:45.000Z
2023-10-04T14:47:45
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: Einmalumdiewelt/T5-Base_GNAD metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for A...
[ -0.42000773549079895, -0.26458731293678284, 0.15053041279315948, 0.21356333792209625, -0.21966561675071716, -0.11370588839054108, 0.06765454262495041, -0.45274513959884644, 0.19362445175647736, 0.2552017271518707, -0.9920336604118347, -0.31176868081092834, -0.7192513346672058, -0.060762774...
null
null
null
null
null
null
null
null
null
null
null
null
null
sleepyboyeyes/Kerli
sleepyboyeyes
2023-10-04T16:43:51Z
0
0
null
[ "region:us" ]
2023-10-04T16:43:51Z
2023-10-04T14:47:51.000Z
2023-10-04T14:47:51
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-multi_news-default-6ca477-44786145147
autoevaluate
2023-10-04T15:15:32Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:15:32Z
2023-10-04T14:50:15.000Z
2023-10-04T14:50:15
--- type: predictions tags: - autotrain - evaluation datasets: - multi_news eval_info: task: summarization model: facebook/bart-large-cnn metrics: ['rouge'] dataset_name: multi_news dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoT...
[ -0.5602415204048157, -0.42730242013931274, 0.14740246534347534, 0.24788270890712738, -0.11518579721450806, -0.03773101046681404, -0.11552605777978897, -0.32123053073883057, 0.3185425400733948, 0.35311880707740784, -0.9730901122093201, -0.20504046976566315, -0.6533052325248718, -0.079734027...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-multi_news-default-1c7825-44810145151
autoevaluate
2023-10-04T15:15:36Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:15:36Z
2023-10-04T14:50:31.000Z
2023-10-04T14:50:31
--- type: predictions tags: - autotrain - evaluation datasets: - multi_news eval_info: task: summarization model: facebook/bart-large-cnn metrics: ['rouge'] dataset_name: multi_news dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoT...
[ -0.5417530536651611, -0.40434396266937256, 0.1662517935037613, 0.20578227937221527, -0.14149770140647888, -0.09311474859714508, -0.0932900682091713, -0.32541778683662415, 0.3126370906829834, 0.34771621227264404, -0.985872209072113, -0.1966065913438797, -0.6723880767822266, -0.1291420310735...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-multi_news-default-1c7825-44810145152
autoevaluate
2023-10-04T14:59:52Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T14:59:52Z
2023-10-04T14:54:26.000Z
2023-10-04T14:54:26
--- type: predictions tags: - autotrain - evaluation datasets: - multi_news eval_info: task: summarization model: t5-base metrics: ['rouge'] dataset_name: multi_news dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluator ...
[ -0.4637279510498047, -0.13792414963245392, 0.2437819540500641, 0.19732461869716644, -0.20609040558338165, -0.028333643451333046, 0.06885574758052826, -0.3691481947898865, 0.23352093994617462, 0.326781690120697, -1.0731284618377686, -0.319899320602417, -0.67545086145401, -0.0915992483496666...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-samsum-samsum-2c8026-46001145176
autoevaluate
2023-10-04T15:00:51Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:00:51Z
2023-10-04T14:57:51.000Z
2023-10-04T14:57:51
--- type: predictions tags: - autotrain - evaluation datasets: - samsum eval_info: task: summarization model: facebook/bart-large-cnn metrics: [] dataset_name: samsum dataset_config: samsum dataset_split: test col_mapping: text: dialogue target: summary --- # Dataset Card for AutoTrain Evaluator ...
[ -0.5002313256263733, -0.3634273111820221, 0.15553776919841766, 0.1488538533449173, -0.11710737645626068, -0.11399912089109421, -0.056155212223529816, -0.32398536801338196, 0.31032586097717285, 0.4042038917541504, -1.0099128484725952, -0.16637027263641357, -0.6736131906509399, -0.1194734871...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-1b5bc0-46134145181
autoevaluate
2023-10-04T15:00:17Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:00:17Z
2023-10-04T14:58:46.000Z
2023-10-04T14:58:46
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: andi611/bert-large-uncased-whole-word-masking-squad2-with-ner-conll2003-with-neg-with-repeat metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_sp...
[ -0.5171423554420471, -0.5426564812660217, 0.2333982139825821, 0.08515584468841553, 0.13511042296886444, -0.036502204835414886, 0.1350187063217163, -0.4334789216518402, 0.07333577424287796, 0.5157004594802856, -1.1340011358261108, -0.13969466090202332, -0.5912714600563049, -0.09229560196399...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-samsum-samsum-bc6414-46260145184
autoevaluate
2023-10-04T15:02:36Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:02:36Z
2023-10-04T14:59:32.000Z
2023-10-04T14:59:32
--- type: predictions tags: - autotrain - evaluation datasets: - samsum eval_info: task: summarization model: facebook/bart-large-cnn metrics: [] dataset_name: samsum dataset_config: samsum dataset_split: test col_mapping: text: dialogue target: summary --- # Dataset Card for AutoTrain Evaluator ...
[ -0.49788475036621094, -0.34783557057380676, 0.1375807225704193, 0.162930428981781, -0.11896739155054092, -0.09708234667778015, -0.04040056839585304, -0.32281914353370667, 0.3414718210697174, 0.4006527364253998, -0.9885626435279846, -0.1502750962972641, -0.6408791542053223, -0.1029601991176...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-boolq-default-cb11e4-46279145185
autoevaluate
2023-10-04T15:00:20Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:00:20Z
2023-10-04T14:59:38.000Z
2023-10-04T14:59:38
--- type: predictions tags: - autotrain - evaluation datasets: - boolq eval_info: task: natural_language_inference model: andi611/distilbert-base-uncased-qa-boolq metrics: [] dataset_name: boolq dataset_config: default dataset_split: train col_mapping: text1: passage text2: question target: an...
[ -0.32376646995544434, -0.36678633093833923, 0.3356608748435974, 0.13237625360488892, 0.0617104172706604, -0.01938132755458355, 0.08647586405277252, -0.4866403639316559, 0.059286534786224365, 0.5097827315330505, -0.9908114075660706, -0.18234504759311676, -0.6168453693389893, 0.0179337784647...
null
null
null
null
null
null
null
null
null
null
null
null
null
Globaly/categorias-5.203k
Globaly
2023-10-04T15:22:08Z
0
0
null
[ "region:us" ]
2023-10-04T15:22:08Z
2023-10-04T15:01:10.000Z
2023-10-04T15:01:10
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
twodgirl/baize-quora
twodgirl
2023-10-04T16:17:31Z
0
0
null
[ "language:en", "license:gpl-3.0", "quora", "region:us" ]
2023-10-04T16:17:31Z
2023-10-04T15:03:11.000Z
2023-10-04T15:03:11
--- license: gpl-3.0 language: - en tags: - quora --- [Baize](https://github.com/project-baize/baize-chatbot) has scrapped questions from Quora. The dialogs are generated by letting ChatGPT chat with itself. This dataset is in alpaca format.
[ -0.5558174252510071, -1.4466947317123413, 0.3136596381664276, -0.19805669784545898, -0.2603393793106079, -0.24290503561496735, 0.12790144979953766, -0.07950688898563385, 0.6955941915512085, 0.8417155742645264, -1.1794027090072632, 0.0022350747603923082, -0.08275901526212692, -0.30543759465...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-iwslt2017-iwslt2017-zh-en-cdea8b-47199145201
autoevaluate
2023-10-04T15:31:49Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:31:49Z
2023-10-04T15:03:49.000Z
2023-10-04T15:03:49
--- type: predictions tags: - autotrain - evaluation datasets: - iwslt2017 eval_info: task: translation model: chence08/mt5-small-iwslt2017-zh-en metrics: [] dataset_name: iwslt2017 dataset_config: iwslt2017-zh-en dataset_split: test col_mapping: source: translation.en target: translation.zh --- #...
[ -0.3523634970188141, -0.14888165891170502, 0.3261584937572479, 0.17202679812908173, -0.22462227940559387, 0.0019053379073739052, 0.026145730167627335, -0.4841983914375305, 0.06514643132686615, 0.39900824427604675, -1.2278939485549927, -0.1595350205898285, -0.7075007557868958, 0.00251700635...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-samsum-samsum-e2a688-46336145186
autoevaluate
2023-10-04T15:05:20Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:05:20Z
2023-10-04T15:04:11.000Z
2023-10-04T15:04:11
--- type: predictions tags: - autotrain - evaluation datasets: - samsum eval_info: task: summarization model: cointegrated/rut5-base-absum metrics: [] dataset_name: samsum dataset_config: samsum dataset_split: test col_mapping: text: dialogue target: summary --- # Dataset Card for AutoTrain Evalua...
[ -0.4148005545139313, -0.1722666323184967, 0.26914724707603455, 0.10779804736375809, -0.2057255357503891, 0.00019507195975165814, 0.00612626550719142, -0.3959701657295227, 0.26413944363594055, 0.48717939853668213, -0.8866292238235474, -0.17735892534255981, -0.6963240504264832, -0.0662528127...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-2b4cb4-47225145203
autoevaluate
2023-10-04T15:05:17Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:05:17Z
2023-10-04T15:04:22.000Z
2023-10-04T15:04:22
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: avioo1/distilbert-base-uncased-finetuned-squad metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: co...
[ -0.525384247303009, -0.5497601628303528, 0.25062060356140137, 0.06509457528591156, 0.11906446516513824, 0.017650235444307327, 0.2252144068479538, -0.32142215967178345, 0.06001007556915283, 0.4685231149196625, -1.1970081329345703, -0.1156206727027893, -0.516008198261261, -0.0460911244153976...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-samsum-samsum-2d4eb1-47303145208
autoevaluate
2023-10-04T15:14:34Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:14:34Z
2023-10-04T15:07:24.000Z
2023-10-04T15:07:24
--- type: predictions tags: - autotrain - evaluation datasets: - samsum eval_info: task: summarization model: google/pegasus-large metrics: [] dataset_name: samsum dataset_config: samsum dataset_split: test col_mapping: text: dialogue target: summary --- # Dataset Card for AutoTrain Evaluator Thi...
[ -0.5634758472442627, -0.17004428803920746, 0.23140378296375275, 0.12566696107387543, -0.19615523517131805, -0.24888712167739868, 0.08891938626766205, -0.4138243496417999, 0.4971381723880768, 0.4520238935947418, -1.1855077743530273, -0.16455115377902985, -0.6931923627853394, -0.135173350572...
null
null
null
null
null
null
null
null
null
null
null
null
null
King-Harry/NinjaMasker-PII-Redaction-Dataset
King-Harry
2023-10-04T15:22:51Z
0
0
null
[ "license:apache-2.0", "region:us" ]
2023-10-04T15:22:51Z
2023-10-04T15:09:03.000Z
2023-10-04T15:09:03
--- 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
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-52cdb7-47832145225
autoevaluate
2023-10-04T16:15:42Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:15:42Z
2023-10-04T15:09:41.000Z
2023-10-04T15:09:41
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: kworts/BARTxiv metrics: ['accuracy', 'rouge', 'mse'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Datase...
[ -0.4395264983177185, -0.23391738533973694, 0.10869210958480835, 0.20852595567703247, -0.15258824825286865, -0.06721115857362747, 0.0020287418738007545, -0.38158273696899414, 0.17021025717258453, 0.3609638810157776, -1.0032285451889038, -0.2111385613679886, -0.6822988986968994, -0.068583264...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-52cdb7-47832145227
autoevaluate
2023-10-04T15:18:33Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T15:18:33Z
2023-10-04T15:09:46.000Z
2023-10-04T15:09:46
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: flax-community/t5-base-cnn-dm metrics: ['accuracy', 'rouge', 'mse'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highligh...
[ -0.5082470774650574, -0.3716844916343689, 0.013662961311638355, 0.13299475610256195, -0.11942493915557861, -0.04442279040813446, -0.00445415498688817, -0.3824959397315979, 0.1487850546836853, 0.2856455147266388, -0.8853902816772461, -0.23793263733386993, -0.7584525942802429, -0.02502315677...
null
null
null
null
null
null
null
null
null
null
null
null
null
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-52cdb7-47832145229
autoevaluate
2023-10-04T16:52:24Z
0
0
null
[ "autotrain", "evaluation", "region:us" ]
2023-10-04T16:52:24Z
2023-10-04T15:10:36.000Z
2023-10-04T15:10:36
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: google/pegasus-cnn_dailymail metrics: ['accuracy', 'rouge', 'mse'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlight...
[ -0.46490710973739624, -0.2795981764793396, 0.0686488077044487, 0.17736701667308807, -0.23398849368095398, -0.16899079084396362, 0.014430738985538483, -0.39785781502723694, 0.29037830233573914, 0.3198220431804657, -1.0325946807861328, -0.22753672301769257, -0.7126225233078003, -0.0955159068...
null
null
null
null
null
null
null
null
null
null
null
null
null