id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 6.67k ⌀ | citation stringlengths 0 10.7k ⌀ | likes int64 0 3.66k | downloads int64 0 8.89M | created timestamp[us] | card stringlengths 11 977k | card_len int64 11 977k | embeddings list |
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mmdjiji/bert-chinese-idioms | 2022-06-28T11:41:58.000Z | [
"license:gpl-3.0",
"region:us"
] | mmdjiji | null | null | 2 | 2 | 2022-06-28T11:13:43 | ---
license: gpl-3.0
---
For the detail, see [github:mmdjiji/bert-chinese-idioms](https://github.com/mmdjiji/bert-chinese-idioms).
[preprocess.js](preprocess.js) is a Node.JS script to generate the data for training the language model. | 237 | [
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iohadrubin/nq_reranking_dprnq | 2022-06-28T11:46:09.000Z | [
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iohadrubin/qampari_reranking_dprnq | 2022-06-28T11:56:02.000Z | [
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autoevaluate/autoeval-staging-eval-project-2e072638-8015092 | 2022-06-28T13:09:33.000Z | [
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"evaluation",
"region:us"
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type: predictions
tags:
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task: multi_class_classification
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autoevaluate/autoeval-staging-eval-project-2e072638-8015093 | 2022-06-28T13:09:36.000Z | [
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type: predictions
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DarwinAnim8or/greentext | 2023-01-24T18:32:57.000Z | [
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"region:us"
] | DarwinAnim8or | null | null | 2 | 2 | 2022-06-28T14:44:54 | ---
annotations_creators:
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pretty_name: 'Greentext Dataset
This is content pulled from various archives to create a "greentext bot" or sorts using
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knibu/reduced_fo_data | 2022-06-28T17:15:57.000Z | [
"region:us"
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kennbyee25/distilroberta-base_tokenized_english_patents | 2022-06-28T17:19:25.000Z | [
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autoevaluate/autoeval-staging-eval-project-25118781-8365116 | 2022-06-28T21:19:34.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-28T17:53:14 | ---
type: predictions
tags:
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autoevaluate/autoeval-staging-eval-project-25118781-8365117 | 2022-06-28T21:17:57.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-28T17:53:17 | ---
type: predictions
tags:
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autoevaluate/autoeval-staging-eval-project-c967fc98-8385124 | 2022-06-28T21:22:31.000Z | [
"autotrain",
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] | autoevaluate | null | null | 0 | 2 | 2022-06-28T17:56:32 | ---
type: predictions
tags:
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knibu/fo_data_again | 2022-06-28T18:13:42.000Z | [
"region:us"
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autoevaluate/autoeval-staging-eval-project-c76b0e96-8395128 | 2022-06-28T21:41:56.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 1 | 2 | 2022-06-28T18:15:22 | ---
type: predictions
tags:
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autoevaluate/autoeval-staging-eval-project-36bd0b51-8375120 | 2022-06-28T22:01:55.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 1 | 2 | 2022-06-28T18:38:03 | ---
type: predictions
tags:
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autoevaluate/autoeval-staging-eval-project-36bd0b51-8375121 | 2022-06-28T22:06:32.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-28T18:38:42 | ---
type: predictions
tags:
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eval_info:
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autoevaluate/autoeval-staging-eval-project-c76b0e96-8395129 | 2022-06-28T22:24:00.000Z | [
"autotrain",
"evaluation",
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] | autoevaluate | null | null | 1 | 2 | 2022-06-28T19:00:28 | ---
type: predictions
tags:
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autoevaluate/autoeval-staging-eval-project-9d6be317-8445136 | 2022-06-28T20:25:52.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-28T20:16:46 | ---
type: predictions
tags:
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datasets:
- cnn_dailymail
eval_info:
task: summarization
model: flax-community/t5-base-cnn-dm
metrics: ['bertscore', 'comet']
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: test
col_mapping:
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autoevaluate/autoeval-staging-eval-project-c967fc98-8385125 | 2022-06-29T01:09:37.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-28T21:43:42 | ---
type: predictions
tags:
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datasets:
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eval_info:
task: summarization
model: google/bigbird-pegasus-large-arxiv
metrics: ['bertscore', 'meteor']
dataset_name: scientific_papers
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autoevaluate/autoeval-staging-eval-project-34433c04-8625146 | 2022-06-29T00:39:30.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-29T00:38:57 | ---
type: predictions
tags:
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datasets:
- lewtun/dog_food
eval_info:
task: image_multi_class_classification
model: abhishek/convnext-tiny-finetuned-dogfood
metrics: []
dataset_name: lewtun/dog_food
dataset_config: lewtun--dog_food
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col_mapping:
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autoevaluate/autoeval-staging-eval-project-72edae24-8665151 | 2022-06-30T05:04:02.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-29T02:15:21 | ---
type: predictions
tags:
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datasets:
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eval_info:
task: summarization
model: eslamxm/mbart-finetune-en-cnn
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: train
col_mapping:
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target: highlights
---
# Dataset Card for... | 790 | [
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ThierryZhou/test | 2022-08-22T02:13:10.000Z | [
"task_categories:image-to-text",
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"annotations_creators:found",
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"source_datasets:original",
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] | ThierryZhou | Test (https://super.gluebenchmark.com/) is a new benchmark styled after
GLUE with a new set of more difficult language understanding tasks, improved
resources, and a new public leaderboard. | @article{wang2019Test,
title={Test: A Stickier Benchmark for General-Purpose Language Understanding Systems},
author={Wang, Alex and Pruksachatkun, Yada and Nangia, Nikita and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R},
journal={arXiv preprint arXiv:1905.00537},
ye... | 0 | 2 | 2022-06-29T02:31:45 | ---
annotations_creators:
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language:
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source_datasets:
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task_categories:
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task_ids:
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paperswithcode_id: test
pretty_name: Test
---
# Dataset Card for "test"
## Table of Contents
- [Table of Contents](#table-of-contents)
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Livingwithmachines/hmd-erwt-training | 2022-11-18T14:10:28.000Z | [
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"region:us"
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annotations_creators:
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pretty_name: Dataset Card for ERWT Hertiage Made Digital Newspapers training data
size_categories:
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tags:
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ta... | 4,612 | [
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autoevaluate/autoeval-staging-eval-project-b20351ec-8855170 | 2022-06-29T07:27:43.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-29T07:26:28 | ---
type: predictions
tags:
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datasets:
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eval_info:
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model: huggingface-course/bert-finetuned-ner
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dataset_name: conll2003
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tags: ner_tags
---
# Dataset Card... | 805 | [
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autoevaluate/autoeval-staging-eval-project-81757492-8865171 | 2022-06-29T07:38:09.000Z | [
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"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-29T07:35:04 | ---
type: predictions
tags:
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datasets:
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eval_info:
task: entity_extraction
model: lewtun/autotrain-acronym-identification-7324788
metrics: []
dataset_name: acronym_identification
dataset_config: default
dataset_split: train
col_mapping:
tokens: tokens
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knkarthick/xsum | 2022-12-07T08:30:19.000Z | [
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"license... | knkarthick | null | null | 2 | 2 | 2022-06-29T08:43:29 | ---
annotations_creators:
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multilinguality:
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size_categories:
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paperswithcode_id: s... | 4,564 | [
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autoevaluate/autoeval-staging-eval-project-b756be98-8935185 | 2022-06-29T09:30:21.000Z | [
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] | autoevaluate | null | null | 0 | 2 | 2022-06-29T09:29:53 | ---
type: predictions
tags:
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task: multi_class_classification
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metrics: []
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: label
---
# ... | 852 | [
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RuiqianLi/sv_corpora_parliament_processed | 2022-06-29T10:59:15.000Z | [
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knkarthick/highlightsum | 2022-10-24T09:17:00.000Z | [
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"license:mit",
"region:us"
] | knkarthick | null | null | 2 | 2 | 2022-06-29T11:25:09 | ---
annotations_creators:
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license:
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- 10K<n<100K
source_datasets:
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task_categories:
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task_ids: []
pretty_name: HighlightSum Corpus
---
# Dataset Card for HighlightSum Cor... | 2,810 | [
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BeardedJohn/ubb-endava-assistant-ner-only-misc | 2022-06-29T11:41:31.000Z | [
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RuiqianLi/en_corpora_parliament_processed | 2022-06-29T12:15:08.000Z | [
"region:us"
] | RuiqianLi | null | null | 0 | 2 | 2022-06-29T12:15:01 | Entry not found | 15 | [
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wkrl/cord | 2022-07-09T09:28:36.000Z | [
"task_categories:token-classification",
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"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | wkrl | CORD (Consolidated Receipt Dataset) with normalized bounding boxes. | @article{park2019cord,
title={CORD: A Consolidated Receipt Dataset for Post-OCR Parsing},
author={Park, Seunghyun and Shin, Seung and Lee, Bado and Lee, Junyeop and Surh, Jaeheung and Seo, Minjoon and Lee, Hwalsuk}
booktitle={Document Intelligence Workshop at Neural Information Processing Systems}
year={2019}
} | 0 | 2 | 2022-06-29T16:39:52 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
multilinguality:
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license:
- cc-by-4.0
pretty_name: CORD
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
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---
# Dataset Card for CORD (Consolidated R... | 2,259 | [
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autoevaluate/autoeval-staging-eval-project-f89b1257-9045192 | 2022-06-29T17:17:15.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-29T17:16:19 | ---
type: predictions
tags:
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datasets:
- lewtun/dog_food
eval_info:
task: image_multi_class_classification
model: abhishek/convnext-tiny-finetuned-dogfood
metrics: []
dataset_name: lewtun/dog_food
dataset_config: lewtun--dog_food
dataset_split: train
col_mapping:
image: image
... | 883 | [
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kennbyee25/distilroberta-base_tokenized_english-patents_2 | 2022-06-29T18:15:44.000Z | [
"region:us"
] | kennbyee25 | null | null | 0 | 2 | 2022-06-29T18:15:40 | Entry not found | 15 | [
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kennbyee25/distilroberta-base_tokenized_trundle-patents | 2022-06-29T18:39:05.000Z | [
"region:us"
] | kennbyee25 | null | null | 0 | 2 | 2022-06-29T18:37:06 | Entry not found | 15 | [
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LTress/Indian_LibriAdapt | 2022-07-12T13:03:20.000Z | [
"region:us"
] | LTress | null | null | 0 | 2 | 2022-06-29T18:48:10 | Entry not found | 15 | [
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Jazz/rutter-scrape | 2022-06-29T18:55:25.000Z | [
"region:us"
] | Jazz | null | null | 0 | 2 | 2022-06-29T18:55:22 | Entry not found | 15 | [
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autoevaluate/autoeval-staging-eval-project-183be059-9075194 | 2022-06-29T20:26:38.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-29T20:25:22 | ---
type: predictions
tags:
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datasets:
- conll2003
eval_info:
task: entity_extraction
model: dslim/bert-base-NER
metrics: []
dataset_name: conll2003
dataset_config: conll2003
dataset_split: test
col_mapping:
tokens: tokens
tags: ner_tags
---
# Dataset Card for AutoTrain Eva... | 785 | [
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autoevaluate/autoeval-staging-eval-project-87e7c3be-9085195 | 2022-06-29T21:11:33.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-29T21:09:50 | ---
type: predictions
tags:
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datasets:
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eval_info:
task: multi_class_classification
model: dbounds/roberta-large-finetuned-clinc
metrics: []
dataset_name: clinc_oos
dataset_config: small
dataset_split: test
col_mapping:
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---
# Dataset Car... | 827 | [
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autoevaluate/autoeval-staging-eval-project-00ac2adb-9115197 | 2022-06-29T22:41:58.000Z | [
"autotrain",
"evaluation",
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] | autoevaluate | null | null | 0 | 2 | 2022-06-29T22:40:57 | ---
type: predictions
tags:
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datasets:
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eval_info:
task: image_multi_class_classification
model: abhishek/autotrain_cifar10_vit_base
metrics: []
dataset_name: cifar10
dataset_config: plain_text
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---
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autoevaluate/autoeval-staging-eval-project-00ac2adb-9115199 | 2022-06-29T22:42:09.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-29T22:41:07 | ---
type: predictions
tags:
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datasets:
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eval_info:
task: image_multi_class_classification
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metrics: []
dataset_name: cifar10
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---
# Data... | 842 | [
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autoevaluate/autoeval-staging-eval-project-00ac2adb-9115200 | 2022-06-29T22:42:47.000Z | [
"autotrain",
"evaluation",
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] | autoevaluate | null | null | 0 | 2 | 2022-06-29T22:41:49 | ---
type: predictions
tags:
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task: image_multi_class_classification
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dataset_name: cifar10
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---
# Dataset Card for Au... | 812 | [
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autoevaluate/autoeval-staging-eval-project-00ac2adb-9115202 | 2022-06-29T22:43:31.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-06-29T22:42:31 | ---
type: predictions
tags:
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Manuel/sentencias-corte-cons-colombia-1992-2021 | 2022-06-30T02:49:09.000Z | [
"license:cc-by-4.0",
"region:us"
] | Manuel | null | null | 0 | 2 | 2022-06-30T02:17:04 | ---
license: cc-by-4.0
---
sentencias-corte-cons-colombia-1992-2021.
23750 Case law of the Colombia's Corte Constitucional.
Each row is a complete text of each case law.
23750 case law from 1992-2021.
Columns:
ID
Texto: Complete text of the sentence | 249 | [
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RuiqianLi/en_corpora_June_30 | 2022-06-30T05:18:14.000Z | [
"region:us"
] | RuiqianLi | null | null | 0 | 2 | 2022-06-30T05:17:49 | Entry not found | 15 | [
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sunlixu/Uyghur | 2022-07-01T12:20:29.000Z | [
"region:us"
] | sunlixu | This new dataset is from Xinjiang University and to do some ASR in low resource. | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2022}
} | 0 | 2 | 2022-06-30T08:36:49 | Entry not found | 15 | [
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SivilTaram/poet-math | 2022-06-30T08:50:20.000Z | [
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] | SivilTaram | null | null | 0 | 2 | 2022-06-30T08:45:05 | Entry not found | 15 | [
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TimeRobber/ag_news_classify_question_first_100 | 2022-06-30T11:28:09.000Z | [
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dddb/autotrain-data-mt5_chinese_small_finetune | 2022-06-30T12:59:06.000Z | [
"region:us"
] | dddb | null | null | 0 | 2 | 2022-06-30T11:33:24 | ---
task_categories:
- conditional-text-generation
---
# AutoTrain Dataset for project: mt5_chinese_small_finetune
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project mt5_chinese_small_finetune.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset S... | 2,297 | [
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0.00... |
kennbyee25/english-patents_titles | 2022-06-30T12:54:33.000Z | [
"region:us"
] | kennbyee25 | null | null | 0 | 2 | 2022-06-30T12:54:29 | Entry not found | 15 | [
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kennbyee25/trundle-patents_titles | 2022-06-30T12:55:59.000Z | [
"region:us"
] | kennbyee25 | null | null | 0 | 2 | 2022-06-30T12:55:55 | Entry not found | 15 | [
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0.0379... |
simecek/Human_DNA_v0_K7tokenized_stride1 | 2022-06-30T16:56:57.000Z | [
"region:us"
] | simecek | null | null | 0 | 2 | 2022-06-30T16:48:18 | Entry not found | 15 | [
[
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-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
simecek/Human_DNA_v0_K8tokenized_stride1 | 2022-06-30T17:36:59.000Z | [
"region:us"
] | simecek | null | null | 0 | 2 | 2022-06-30T17:28:18 | Entry not found | 15 | [
[
-0.02142333984375,
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0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
kennbyee25/alarm-patents_titles | 2022-06-30T19:32:11.000Z | [
"region:us"
] | kennbyee25 | null | null | 0 | 2 | 2022-06-30T19:22:12 | Entry not found | 15 | [
[
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0.0513916015625,
0.016998291015625,
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0.0379... |
ashraq/ml-latest-small | 2022-06-30T20:32:48.000Z | [
"region:us"
] | ashraq | null | null | 0 | 2 | 2022-06-30T20:32:42 | Entry not found | 15 | [
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0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
emilylearning/cond_ft_none_on_reddit__prcnt_100__test_run_False__roberta-base | 2022-06-30T21:07:21.000Z | [
"region:us"
] | emilylearning | null | null | 0 | 2 | 2022-06-30T21:04:53 | Entry not found | 15 | [
[
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0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
arize-ai/xtreme_en_language_drift_es | 2022-07-01T17:25:51.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|xtreme",
"language:en",
"license:mit",
"region:us"
] | arize-ai | This dataset was crafted to be used in our tutorial [Link to the tutorial when
ready]. It consists on product reviews from an e-commerce store. The reviews
are labeled on a scale from 1 to 5 (stars). The training & validation sets are
fully composed by reviews written in english. However, the production set has
some re... | # @InProceedings{huggingface:dataset,
# title = {A great new dataset},
# author={huggingface, Inc.
# },
# year={2020}
# }
# | 0 | 2 | 2022-06-30T21:07:38 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: named-entity-recognition-en-no-drift
size_categories:
- 10K<n<100K
source_datasets:
- extended|xtreme
task_categories:
- token-classification
task_ids:
- named-ent... | 3,341 | [
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-0.039398193359375,
0.0026817... |
bayartsogt/mongolian-ner | 2022-07-01T02:03:11.000Z | [
"region:us"
] | bayartsogt | null | null | 0 | 2 | 2022-07-01T02:03:04 | Entry not found | 15 | [
[
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0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
bayartsogt/mongolian-ner-demo | 2022-07-01T03:58:24.000Z | [
"region:us"
] | bayartsogt | null | null | 0 | 2 | 2022-07-01T03:58:21 | Entry not found | 15 | [
[
-0.02142333984375,
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0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
Buyandelger/mongolian-ner | 2022-07-01T03:59:34.000Z | [
"region:us"
] | Buyandelger | null | null | 0 | 2 | 2022-07-01T03:59:30 | Entry not found | 15 | [
[
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0.016998291015625,
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-0.014984130859375,
-0.060394287109375,
0.0379... |
emilylearning/cond_ft_subreddit_on_reddit__prcnt_100__test_run_False__roberta-base | 2022-07-01T04:25:26.000Z | [
"region:us"
] | emilylearning | null | null | 0 | 2 | 2022-07-01T04:23:07 | Entry not found | 15 | [
[
-0.02142333984375,
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0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
AntoineLB/watt-saving-agent-1 | 2022-07-19T13:24:08.000Z | [
"region:us"
] | AntoineLB | null | null | 0 | 2 | 2022-07-01T07:57:10 | Entry not found | 15 | [
[
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0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
AntoineLB/watt-saving-agent-2 | 2022-07-19T13:26:35.000Z | [
"region:us"
] | AntoineLB | null | null | 0 | 2 | 2022-07-01T07:57:21 | Entry not found | 15 | [
[
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-0.01495361328125,
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0.0288238525390625,
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0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
autoevaluate/autoeval-staging-eval-project-a25a94fd-9305221 | 2022-07-02T12:09:46.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-07-01T08:08:40 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- big_patent
eval_info:
task: summarization
model: google/bigbird-pegasus-large-bigpatent
metrics: ['rouge']
dataset_name: big_patent
dataset_config: all
dataset_split: validation
col_mapping:
text: description
target: abstract
---
# D... | 825 | [
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0.032073974609375,
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... |
GEM-submissions/lewtun__this-is-a-test-submission-2__1656667730 | 2022-07-01T09:28:55.000Z | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | GEM-submissions | null | null | 0 | 2 | 2022-07-01T09:28:52 | ---
benchmark: gem
type: prediction
submission_name: This is a test submission 2
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: This is a test submission 2
| 180 | [
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ShihTing/IsCausewayOffset | 2022-07-05T07:00:42.000Z | [
"region:us"
] | ShihTing | null | null | 0 | 2 | 2022-07-01T09:29:44 | Entry not found | 15 | [
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0.0379... |
jianguo/jianguo | 2022-07-01T10:03:16.000Z | [
"region:us"
] | jianguo | null | null | 0 | 2 | 2022-07-01T09:59:28 | Entry not found | 15 | [
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0.0379... |
joelniklaus/greek_legal_ner | 2023-09-27T17:48:13.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:other",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:el",
"license:cc-by-nc-sa-4.0",
"legal",
"region:us"
] | joelniklaus | null | null | 0 | 2 | 2022-07-01T11:34:33 | ---
annotations_creators:
- other
language_creators:
- found
language:
- el
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: Greek Legal Named Entity Recognition
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- na... | 9,785 | [
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0.0374... |
joelniklaus/legalnero | 2023-09-27T17:48:28.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:other",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ro",
"license:cc-by-nc-nd-4.0",
"legal",
"region:us"
] | joelniklaus | null | null | 0 | 2 | 2022-07-01T11:39:54 | ---
annotations_creators:
- other
language_creators:
- found
language:
- ro
license:
- cc-by-nc-nd-4.0
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: Romanian Named Entity Recognition in the Legal domain (LegalNERo)
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-... | 10,625 | [
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0.0274810... |
joelniklaus/online_terms_of_service | 2022-09-22T13:45:42.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"annotations_creators:found",
"annotations_creators:other",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"langu... | joelniklaus | null | null | 5 | 2 | 2022-07-01T11:42:49 | ---
annotations_creators:
- found
- other
language_creators:
- found
language:
- de
- en
- it
- pl
license:
- other
multilinguality:
- multilingual
pretty_name: A Corpus for Multilingual Analysis of Online Terms of Service
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
ta... | 18,269 | [
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0.05279541015625,
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0.022... |
Yehor/ukrainian-news-headlines | 2022-07-30T17:39:30.000Z | [
"language:uk",
"license:cc-by-nc-sa-4.0",
"uk",
"region:us"
] | Yehor | null | null | 1 | 2 | 2022-07-01T18:12:19 | ---
language:
- uk
license: cc-by-nc-sa-4.0
tags:
- uk
---
This dataset contains **5,242,391** samples of Ukrainian news headlines.
Usage:
```python
from datasets import load_dataset
ds = load_dataset('Yehor/ukrainian-news-headlines', split='train')
for row in ds:
print(row['headline'])
```
Attribution to ... | 447 | [
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PGT/benzene_unshuffled | 2022-07-01T18:18:23.000Z | [
"region:us"
] | PGT | null | null | 0 | 2 | 2022-07-01T18:17:51 | Entry not found | 15 | [
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0.0379... |
spacemanidol/wikipedia-nq-query-variation | 2022-07-11T14:55:07.000Z | [
"region:us"
] | spacemanidol | null | @inproceedings{karpukhin-etal-2020-dense,
title = "Dense Passage Retrieval for Open-Domain Question Answering",
author = "Karpukhin, Vladimir and Oguz, Barlas and Min, Sewon and Lewis, Patrick and Wu, Ledell and Edunov,
Sergey and Chen, Danqi and Yih, Wen-tau",
booktitle = "Proceedings of the 2020 Conf... | 0 | 2 | 2022-07-01T19:15:06 | Entry not found | 15 | [
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erickdp/dtserick | 2022-07-01T22:46:21.000Z | [
"region:us"
] | erickdp | null | null | 0 | 2 | 2022-07-01T22:43:07 | Entry not found | 15 | [
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0.0379... |
erickdp/dteedp | 2022-07-01T23:07:03.000Z | [
"region:us"
] | erickdp | null | null | 0 | 2 | 2022-07-01T23:04:47 | Entry not found | 15 | [
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0.03793334... |
erickdp/abcv | 2022-07-01T23:12:22.000Z | [
"region:us"
] | erickdp | null | null | 0 | 2 | 2022-07-01T23:12:18 | Entry not found | 15 | [
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erickdp/uvvw | 2022-07-01T23:14:17.000Z | [
"region:us"
] | erickdp | null | null | 0 | 2 | 2022-07-01T23:14:09 | Entry not found | 15 | [
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liyijing024/cyberkongz | 2022-07-02T16:46:00.000Z | [
"region:us"
] | liyijing024 | null | null | 0 | 2 | 2022-07-02T16:45:52 | Entry not found | 15 | [
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autoevaluate/autoeval-staging-eval-project-854c0218-9415245 | 2022-07-02T22:28:44.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-07-02T22:28:07 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- emotion
eval_info:
task: multi_class_classification
model: lewtun/sagemaker-distilbert-emotion
metrics: []
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: label
---
# Dataset Card for... | 832 | [
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autoevaluate/autoeval-staging-eval-project-562e1223-9425246 | 2022-07-02T23:01:39.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-07-02T23:00:47 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- bigscience-biomedical/tmp-scitail
eval_info:
task: binary_classification
model: gabrielaltay/autotrain-at-test-bb-tmp-scitail-1078438446
metrics: []
dataset_name: bigscience-biomedical/tmp-scitail
dataset_config: scitail_bigbio_te
dataset_spli... | 955 | [
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nlp-esg-scoring/spx-sustainalytics-esg-scores | 2022-07-02T23:48:07.000Z | [
"region:us"
] | nlp-esg-scoring | null | null | 1 | 2 | 2022-07-02T23:48:01 | Entry not found | 15 | [
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openclimatefix/dgmr-mrms | 2022-07-07T13:53:28.000Z | [
"region:us"
] | openclimatefix | null | null | 1 | 2 | 2022-07-03T02:40:01 | Entry not found | 15 | [
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djagatiya/ner-ontonotes-v5-eng-v4 | 2022-07-03T11:36:33.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"source_datasets:subset",
"language:eng",
"region:us"
] | djagatiya | null | null | 0 | 2 | 2022-07-03T09:04:18 | ---
language:
- eng
task_categories:
- token-classification
task_ids:
- named-entity-recognition
source_datasets:
- subset
---
# (NER) ontonotes-v5-eng-v4
This dataset is subset of [conll2012_ontonotesv5](https://huggingface.co/datasets/conll2012_ontonotesv5) original dataset.
- Language: english
- Version: v4
... | 401 | [
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carlosejimenez/flickr30k_images_SimCLRv2 | 2022-07-09T01:21:47.000Z | [
"region:us"
] | carlosejimenez | null | null | 0 | 2 | 2022-07-06T11:45:23 | Entry not found | 15 | [
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openclimatefix/gfs-surface-pressure-2deg | 2022-07-14T20:56:44.000Z | [
"region:us"
] | openclimatefix | null | null | 1 | 2 | 2022-07-12T03:33:27 | Entry not found | 15 | [
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nschantz21/booksum-randomized | 2022-07-12T04:45:07.000Z | [
"region:us"
] | nschantz21 | null | null | 0 | 2 | 2022-07-12T04:39:02 | Entry not found | 15 | [
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JasonXu/multimodel_train_dataset | 2022-07-12T05:28:49.000Z | [
"region:us"
] | JasonXu | null | null | 0 | 2 | 2022-07-12T05:28:28 | Entry not found | 15 | [
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0.0379... |
JasonXu/multimodel_test_dataset | 2022-07-12T05:30:41.000Z | [
"region:us"
] | JasonXu | null | null | 0 | 2 | 2022-07-12T05:30:26 | Entry not found | 15 | [
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0.0379... |
mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS | 2022-07-12T15:53:36.000Z | [
"language:lb",
"language:de",
"language:fr",
"language:en",
"language:pt",
"license:cc-by-nc-sa-4.0",
"region:us"
] | mbarnig | null | null | 2 | 2 | 2022-07-12T12:39:49 | ---
license: cc-by-nc-sa-4.0
language:
- lb
- de
- fr
- en
- pt
---
#### This custom multilingual-multispeaker TTS speech corpus contains 12.800 balanced samples with audio files (wav format sampled with 16000 Hz) and related transcriptions (csv format with two columns) from 18 speakers. The dataset has been assemble... | 2,745 | [
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autoevaluate/autoeval-staging-eval-project-c230b859-684d-4c33-ba1d-1f5cafa82377-327627 | 2022-07-12T12:48:58.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-07-12T12:47:11 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- squad
eval_info:
task: extractive_question_answering
model: autoevaluate/extractive-question-answering
metrics: []
dataset_name: squad
dataset_config: plain_text
dataset_split: validation
col_mapping:
context: context
question: quest... | 957 | [
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nguyenvulebinh/spoken_norm_pattern | 2022-09-28T06:10:15.000Z | [
"region:us"
] | nguyenvulebinh | null | null | 0 | 2 | 2022-07-12T12:51:19 | # Vietnamese Inverse Text Normalization
Inverse text normalization (ITN) is the task that transforms spoken to written styles. It is particularly useful in automatic speech recognition (ASR) systems where proper names are often miss-recognized by their pronunciations instead of the written forms. By applying ITN, we ... | 1,411 | [
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Lancelot53/wav2vec2base_vocabs | 2022-07-12T14:36:39.000Z | [
"region:us"
] | Lancelot53 | null | null | 0 | 2 | 2022-07-12T14:36:23 | Entry not found | 15 | [
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userGagan/ResizedSample2 | 2022-07-14T06:15:30.000Z | [
"region:us"
] | userGagan | null | null | 0 | 2 | 2022-07-12T14:51:53 | Entry not found | 15 | [
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0.0379... |
tomekkorbak/codeparrot-clean-train-v2-pep8-rebalanced | 2022-07-12T15:59:02.000Z | [
"region:us"
] | tomekkorbak | null | null | 0 | 2 | 2022-07-12T15:13:09 | Entry not found | 15 | [
[
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ilmariky/SQuAD_v2_fi | 2022-10-25T15:46:46.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:fi",
"license:gpl-3.0",
"question-generation",
"region:us"
] | ilmariky | null | null | 0 | 2 | 2022-07-12T15:54:59 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
- found
language:
- fi
license:
- gpl-3.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
task_categories:
- question-answering
task_ids:
- extractive-qa
pretty_name: SQuAD-v2-fi
tags:
- question-generation
train-eval-index:
- confi... | 2,836 | [
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tomekkorbak/codeparrot-clean-train-v2-pep8-rebalanced2 | 2022-07-12T18:22:34.000Z | [
"region:us"
] | tomekkorbak | null | null | 0 | 2 | 2022-07-12T18:11:43 | Entry not found | 15 | [
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Siyong/speech_timit | 2022-07-13T00:19:49.000Z | [
"region:us"
] | Siyong | null | null | 0 | 2 | 2022-07-13T00:18:17 | Entry not found | 15 | [
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Evelyn18/becasv3 | 2022-07-13T03:59:24.000Z | [
"region:us"
] | Evelyn18 | automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish | @article{2016arXiv160605250R,
author = {Casimiro Pio , Carrino and Marta R. , Costa-jussa and Jose A. R. , Fonollosa},
title = "{Automatic Spanish Translation of the SQuAD Dataset for Multilingual
Question Answering}",
journal = {arXiv e-prints},
year = 2019,
eid = {arXiv:1912.... | 0 | 2 | 2022-07-13T03:31:12 | Entry not found | 15 | [
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Bingsu/KcBERT_Pre-Training_Corpus | 2022-07-13T07:26:02.000Z | [
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:masked-language-modeling",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"langu... | Bingsu | null | null | 0 | 2 | 2022-07-13T06:18:42 | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- ko
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: KcBERT Pre-Training Corpus (Korean News Comments)
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- fill-mask
- text-generation
task_i... | 2,361 | [
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autoevaluate/autoeval-staging-eval-project-22d4f209-4087-42ac-a9a4-6d47e201055d-6458 | 2022-07-13T06:49:21.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-07-13T06:28:21 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- samsum
eval_info:
task: summarization
model: pszemraj/long-t5-tglobal-base-16384-book-summary
metrics: []
dataset_name: samsum
dataset_config: samsum
dataset_split: test
col_mapping:
text: dialogue
target: summary
---
# Dataset Card ... | 848 | [
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autoevaluate/autoeval-staging-eval-project-6e6ed30f-40d7-4939-99af-0ba4041a05ee-6559 | 2022-07-13T13:44:19.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-07-13T13:43:34 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- glue
eval_info:
task: binary_classification
model: autoevaluate/binary-classification
metrics: ['matthews_correlation']
dataset_name: glue
dataset_config: sst2
dataset_split: validation
col_mapping:
text: sentence
target: label
---
#... | 863 | [
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0.0087738037109375,
0.0260772705078125,
-0.06622314453125,
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-0.0555419921... |
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