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MicPie | null | @misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
} | The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card. | false | 3 | false | MicPie/unpredictable_cluster29 | 2022-08-04T20:02:57.000Z | null | false | 326bc07a2b864fc26f94b6c610a5348ad248ea87 | [] | [
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"task_categories:question-answering",
"task_categories:zero-shot-classification",... | https://huggingface.co/datasets/MicPie/unpredictable_cluster29/resolve/main/README.md | ---
annotations_creators:
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license:
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pretty_name: UnpredicTable-cluster29
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
- question-answering
- zero-shot-classification
- text2text-ge... |
MicPie | null | @misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
} | The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card. | false | 4 | false | MicPie/unpredictable_cluster03 | 2022-08-04T19:44:47.000Z | null | false | 253df5629a8ac1653c3b7b2fa5f6aec67a15d77b | [] | [
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"task_categories:zero-shot-classification",... | https://huggingface.co/datasets/MicPie/unpredictable_cluster03/resolve/main/README.md | ---
annotations_creators:
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pretty_name: UnpredicTable-cluster03
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
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- text2text-ge... |
MicPie | null | @misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
} | The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card. | false | 4 | false | MicPie/unpredictable_cluster04 | 2022-08-04T19:45:22.000Z | null | false | b745f72350bad6f06cefda65de7413e3b3d5245a | [] | [
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"task_categories:zero-shot-classification",... | https://huggingface.co/datasets/MicPie/unpredictable_cluster04/resolve/main/README.md | ---
annotations_creators:
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pretty_name: UnpredicTable-cluster04
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
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MicPie | null | @misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
} | The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card. | false | 3 | false | MicPie/unpredictable_cluster05 | 2022-08-04T19:45:58.000Z | null | false | 41273c850a3db6dbbaa24e62f1781a29082933bc | [] | [
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"task_categories:question-answering",
"task_categories:zero-shot-classification",... | https://huggingface.co/datasets/MicPie/unpredictable_cluster05/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
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language:
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license:
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pretty_name: UnpredicTable-cluster05
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
- question-answering
- zero-shot-classification
- text2text-ge... |
MicPie | null | @misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
} | The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card. | false | 3 | false | MicPie/unpredictable_cluster06 | 2022-08-04T19:46:44.000Z | null | false | dc851308a705e625ef0aa18db4e27271630bae0a | [] | [
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"task_categories:multiple-choice",
"task_categories:question-answering",
"task_categories:zero-shot-classification",... | https://huggingface.co/datasets/MicPie/unpredictable_cluster06/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
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pretty_name: UnpredicTable-cluster06
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
- question-answering
- zero-shot-classification
- text2text-ge... |
MicPie | null | @misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
} | The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card. | false | 4 | false | MicPie/unpredictable_cluster07 | 2022-08-04T19:47:24.000Z | null | false | 9d24515103446c09480e8da07eba58407cf04628 | [] | [
"arxiv:2208.01009",
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"multilinguality:monolingual",
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"task_categories:multiple-choice",
"task_categories:question-answering",
"task_categories:zero-shot-classification",... | https://huggingface.co/datasets/MicPie/unpredictable_cluster07/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
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pretty_name: UnpredicTable-cluster07
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
- question-answering
- zero-shot-classification
- text2text-ge... |
MicPie | null | @misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
} | The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card. | false | 2 | false | MicPie/unpredictable_cluster08 | 2022-08-04T19:48:00.000Z | null | false | 176963045cff4156649ffe5e52ea0c4a1480c240 | [] | [
"arxiv:2208.01009",
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"task_categories:multiple-choice",
"task_categories:question-answering",
"task_categories:zero-shot-classification",... | https://huggingface.co/datasets/MicPie/unpredictable_cluster08/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
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pretty_name: UnpredicTable-cluster08
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
- question-answering
- zero-shot-classification
- text2text-ge... |
MicPie | null | @misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
} | The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card. | false | 3 | false | MicPie/unpredictable_cluster09 | 2022-08-04T19:48:52.000Z | null | false | dadc5a03b684674e151c3007663e7f09ce6bf968 | [] | [
"arxiv:2208.01009",
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"multilinguality:monolingual",
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"task_categories:multiple-choice",
"task_categories:question-answering",
"task_categories:zero-shot-classification",... | https://huggingface.co/datasets/MicPie/unpredictable_cluster09/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: UnpredicTable-cluster09
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
- question-answering
- zero-shot-classification
- text2text-ge... |
gdj-pinecone | null | null | null | false | 1 | false | gdj-pinecone/test | 2022-07-08T21:07:36.000Z | null | false | a037d510718d60d62a0c3b78dca9a54592e196c4 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/gdj-pinecone/test/resolve/main/README.md | ---
license: apache-2.0
---
|
merve | null | null | null | false | 3 | false | merve/student_scores | 2022-07-09T00:02:48.000Z | null | false | 38f9e34cc1a66302e7dfd4e01dc228eafbf4dbc1 | [] | [] | https://huggingface.co/datasets/merve/student_scores/resolve/main/README.md | ## Student Scores Dataset
This dataset contains clean and original versions of Student Scores Dataset and the transformer used to transform it from original to clean, can be used for inferences.
Here's the plot of the transformer:
<style>#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 {color: black;background-color: white;... |
embedding-data | null | null | null | false | 10 | false | embedding-data/WikiAnswers | 2022-08-02T03:33:01.000Z | embedding-data/WikiAnswers | false | aa3d54a99f6314a888c3db3c67e6b27650913a9d | [] | [
"license:mit",
"language:en",
"task_categories:sentence-similarity",
"task_ids:semantic-similarity-classification"
] | https://huggingface.co/datasets/embedding-data/WikiAnswers/resolve/main/README.md | ---
license: mit
language:
- en
paperswithcode_id: embedding-data/WikiAnswers
pretty_name: WikiAnswers
task_categories:
- sentence-similarity
- paraphrase-mining
task_ids:
- semantic-similarity-classification
---
# Dataset Card for "WikiAnswers"
## Table of Contents
- [Dataset Description](#dataset-description)
- [... |
changxin | null | \ | This is a test dataset. | false | 15 | false | changxin/test_pq | 2022-07-09T07:16:25.000Z | ix | false | 54c7e700ad81e76204a401dabcb99d0995c24a47 | [] | [
"type:test",
"annotations_creators:expert-generated",
"language_creators:found",
"language:ch",
"license:afl-3.0",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"task_ids:other-test"
] | https://huggingface.co/datasets/changxin/test_pq/resolve/main/README.md | ---
type: test
annotations_creators:
- expert-generated
language_creators:
- found
language:
- ch
license: afl-3.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- other-test
task_ids:
- other-test
paperswithcode_id: ix
pretty_name: Test Dataset
---
测试数据集
|
MicPie | null | @misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
} | The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card. | false | 3 | false | MicPie/unpredictable_rated-low | 2022-08-04T20:12:07.000Z | null | false | 5be4ed72cb4b36286ea12103b29ba690fa5102b7 | [] | [
"arxiv:2208.01009",
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"task_categories:multiple-choice",
"task_categories:question-answering",
"task_categories:zero-shot-classification",... | https://huggingface.co/datasets/MicPie/unpredictable_rated-low/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: UnpredicTable-rated-low
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
- question-answering
- zero-shot-classification
- text2text-ge... |
MicPie | null | @misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
} | The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card. | false | 3 | false | MicPie/unpredictable_rated-medium | 2022-08-04T20:12:40.000Z | null | false | 7711c1ba72d06d6a47b4359d657abcd3b6ab2fdb | [] | [
"arxiv:2208.01009",
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"task_categories:multiple-choice",
"task_categories:question-answering",
"task_categories:zero-shot-classification",... | https://huggingface.co/datasets/MicPie/unpredictable_rated-medium/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: UnpredicTable-rated-medium
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
- question-answering
- zero-shot-classification
- text2text... |
MicPie | null | @misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
} | The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card. | false | 1 | false | MicPie/unpredictable_rated-high | 2022-08-04T20:11:37.000Z | null | false | d28f159164bbf1a19e0ecf09d9f2454c2e66a219 | [] | [
"arxiv:2208.01009",
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"task_categories:multiple-choice",
"task_categories:question-answering",
"task_categories:zero-shot-classification",... | https://huggingface.co/datasets/MicPie/unpredictable_rated-high/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: UnpredicTable-rated-high
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
- question-answering
- zero-shot-classification
- text2text-g... |
Heriot-WattUniversity | null | @article{bordes2016learning,
title={Learning end-to-end goal-oriented dialog},
author={Bordes, Antoine and Boureau, Y-Lan and Weston, Jason},
journal={arXiv preprint arXiv:1605.07683},
year={2016}
} | This section presents the set of 6 tasks for testing end-to-end dialog systems in the restaurant domain described in the paper:
Antoine Bordes, Y-Lan Boureau, Jason Weston, Learning End-to-End Goal-Oriented Dialog, arxiv:1605.07683.
Each task tests a unique aspect of dialog. Tasks are designed to complement the set o... | false | 2 | false | Heriot-WattUniversity/dialog_babi | 2022-07-12T08:27:12.000Z | null | false | bbbbe1058950bad355118b9db17521683f12b0d2 | [] | [
"arxiv:1605.07683",
"arxiv:1502.05698"
] | https://huggingface.co/datasets/Heriot-WattUniversity/dialog_babi/resolve/main/README.md | # Dialog bAbI tasks data
In this directory is the set of 6 tasks for testing end-to-end dialog systems in the restaurant domain as described in the paper "Learning End-to-End Goal-Oriented Dialog" by Bordes & Weston (http://arxiv.org/abs/1605.07683). The aim is that each task tests a unique aspect of dialog. Tasks are ... |
saadob12 | null | null | null | false | 2 | false | saadob12/Autochart | 2022-07-10T10:08:55.000Z | null | false | afb1696c468d769453989ac44294001a49e92792 | [] | [
"arxiv:2108.06897"
] | https://huggingface.co/datasets/saadob12/Autochart/resolve/main/README.md | This dataset only consists of linearized underlying data table of charts and their corresponding summaries.
Model that use this dataset: https://huggingface.co/saadob12/t5_C2T_autochart
## Created By:
Zhu, J., Ran, J., Lee, R. K. W., Choo, K., & Li, Z. (2021). AutoChart: A Dataset for Chart-to-Text Generation Task.... |
saadob12 | null | null | null | false | 3 | false | saadob12/chart-to-text | 2022-07-10T10:09:33.000Z | null | false | 81c11dc231014eefabd36647edaf2bc62596d820 | [] | [
"arxiv:2203.06486"
] | https://huggingface.co/datasets/saadob12/chart-to-text/resolve/main/README.md | This dataset only consists of linearized underlying data table of charts and their corresponding summaries.
Model that use this dataset: https://huggingface.co/saadob12/t5_C2T_big
## Created By:
Kanthara, S., Leong, R. T. K., Lin, X., Masry, A., Thakkar, M., Hoque, E., & Joty, S. (2022). Chart-to-Text: A Large-Scale... |
Cris1907 | null | null | null | false | 5 | false | Cris1907/marIA-UG | 2022-10-26T03:56:25.000Z | null | false | 0fa6325d81289c7bee994cada84feeaef7d5de73 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Cris1907/marIA-UG/resolve/main/README.md | ---
license: apache-2.0
---
|
Cris1907 | null | null | null | false | 3 | false | Cris1907/autotrain-data-marIA-UG | 2022-07-09T13:57:47.000Z | null | false | e79c71b6b526bc9b7e539943ed7a28cffa136647 | [] | [] | https://huggingface.co/datasets/Cris1907/autotrain-data-marIA-UG/resolve/main/README.md | |
hungnm | null | null | null | false | 2 | false | hungnm/multilingual-amazon-review-sentiment-processed | 2022-07-09T17:41:04.000Z | null | false | 8ab5394e2a6302185614a17d8878ce111ab0f746 | [] | [
"license:mit"
] | https://huggingface.co/datasets/hungnm/multilingual-amazon-review-sentiment-processed/resolve/main/README.md | ---
license: mit
---
|
AlejandroSoumah | null | null | null | false | 2 | false | AlejandroSoumah/cancer_images_soumah | 2022-07-09T17:32:39.000Z | null | false | f75101f732c78327133fac8ae1adc1cdc2a71432 | [] | [] | https://huggingface.co/datasets/AlejandroSoumah/cancer_images_soumah/resolve/main/README.md | j |
kasumi222 | null | null | null | false | 2 | false | kasumi222/busy2 | 2022-07-09T18:23:19.000Z | null | false | 17849ed8daf554fec15778094357687f18e13e5c | [] | [] | https://huggingface.co/datasets/kasumi222/busy2/resolve/main/README.md | Dataset1 |
jorge-henao | null | null | null | false | 2 | false | jorge-henao/historias_conflicto_colombia | 2022-07-10T15:26:41.000Z | null | false | 6fb3c059df1fc4ff99cd25a709a222691ec13cc0 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/jorge-henao/historias_conflicto_colombia/resolve/main/README.md | ---
license: apache-2.0
---
|
etan18 | null | null | null | false | 3 | false | etan18/SampleMCDataset | 2022-07-09T20:13:27.000Z | null | false | d1c67195aa6fc74bf477505446cf1e27fa22dde1 | [] | [
"license:unknown"
] | https://huggingface.co/datasets/etan18/SampleMCDataset/resolve/main/README.md | ---
license: unknown
---
|
Corran | null | null | null | false | 3 | false | Corran/RedditGifs | 2022-07-10T00:47:28.000Z | null | false | 16c18532fc896226d89518030928a2e1ed69159f | [] | [
"license:pddl"
] | https://huggingface.co/datasets/Corran/RedditGifs/resolve/main/README.md | ---
license: pddl
---
|
thebfbdfiobsesser | null | null | null | false | 3 | false | thebfbdfiobsesser/Idkeaither | 2022-07-10T04:35:50.000Z | null | false | 9796b1be535e8abb5f0e3d711871e9637304466d | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/thebfbdfiobsesser/Idkeaither/resolve/main/README.md | ---
license: afl-3.0
---
|
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-pn_summary-5464695d-10495406 | 2022-07-11T14:22:50.000Z | null | false | 5326062032b8d6b1a9bdfbe7fe8ea4a1f997405a | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:pn_summary"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-pn_summary-5464695d-10495406/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- pn_summary
eval_info:
task: summarization
model: google/pegasus-large
metrics: []
dataset_name: pn_summary
dataset_config: 1.0.0
dataset_split: train
col_mapping:
text: article
target: summary
---
# Dataset Card for AutoTrain Evaluat... |
autoevaluate | null | null | null | false | 2 | false | autoevaluate/autoeval-staging-eval-project-xsum-02414083-10505407 | 2022-07-10T13:05:20.000Z | null | false | 152d1ac751d8406ad7c995fa1cc45e6dcec0ddac | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:xsum"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-xsum-02414083-10505407/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- xsum
eval_info:
task: summarization
model: facebook/bart-large-xsum
metrics: []
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain Evaluator
Th... |
yaqingwang90 | null | null | null | false | 1 | false | yaqingwang90/LiST_CLUE | 2022-07-10T17:49:29.000Z | null | false | 6c8f8cc9629bc717ff25fa96e6cb64dfbad446fd | [] | [
"license:mit"
] | https://huggingface.co/datasets/yaqingwang90/LiST_CLUE/resolve/main/README.md | ---
license: mit
---
|
readerbench | null | null | null | false | 1 | false | readerbench/ro-fb-offense | 2022-10-21T08:03:58.000Z | null | false | a738c6ab55c57d361b1074d77ad5ba446b9e5894 | [] | [
"annotations_creators:expert-generated",
"language_creators:found",
"language:ro",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"extra_gated_prompt:Warning: this... | https://huggingface.co/datasets/readerbench/ro-fb-offense/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- ro
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- hate-speech-detection
pretty_name: RO-FB-Offense
extra_gated_prompt: 'War... |
BirdL | null | null | null | false | 2 | false | BirdL/SimulacraUnsupervised | 2022-09-28T21:00:35.000Z | null | false | 4a1a177a55dda5a8a4efd8df8f84820b8c53b63c | [] | [
"license:cc0-1.0",
"size_categories:100K<n<1M",
"task_categories:unconditional-image-generation"
] | https://huggingface.co/datasets/BirdL/SimulacraUnsupervised/resolve/main/README.md | ---
annotations_creators: []
language: []
language_creators: []
license:
- cc0-1.0
multilinguality: []
pretty_name: Simulacra Aes Captions Unsupervised
size_categories:
- 100K<n<1M
source_datasets: []
tags: []
task_categories:
- unconditional-image-generation
task_ids: []
---
SimulacraUnsupervised is a download of Sim... |
jonaskoenig | null | null | null | false | 2 | false | jonaskoenig/Questions-vs-Statements-Classification | 2022-07-11T15:36:35.000Z | null | false | 78166f908eb6e85c67ea0f0f27d8bdb6997392b8 | [] | [] | https://huggingface.co/datasets/jonaskoenig/Questions-vs-Statements-Classification/resolve/main/README.md | [Needs More Information]
# Dataset Card for Questions-vs-Statements-Classification
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... |
chenz16 | null | @misc{https://doi.org/10.48550/arxiv.2204.06283,
doi = {10.48550/ARXIV.2204.06283},
url = {https://arxiv.org/abs/2204.06283},
author = {Chen, Zeming and Gao, Qiyue},
keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and informati... | We introduce Curriculum as a new format of NLI benchmark for evaluation of broad-coverage linguistic phenomena.
Curriculum contains a collection of datasets that covers 36 types of major linguistic phenomena and an evaluation procedure
for diagnosing how well a language model captures reasoning skills for distinct ty... | false | 2 | false | chenz16/curriculum_benchmark | 2022-07-11T01:51:34.000Z | null | false | 93689a9a52b0d0ecc12126b258a16f597150f230 | [] | [
"license:mit"
] | https://huggingface.co/datasets/chenz16/curriculum_benchmark/resolve/main/README.md | ---
license: mit
---
|
autoevaluate | null | null | null | false | 2 | false | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-73d015e6-10555411 | 2022-07-11T21:21:10.000Z | null | false | 875791b7e0afdfdfabaca83358541de2839ecb0f | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:cnn_dailymail"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-cnn_dailymail-73d015e6-10555411/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: t5-large
metrics: ['bertscore']
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: train
col_mapping:
text: article
target: highlights
---
# Dataset Card for AutoTrain... |
syabusyabu0141 | null | null | null | false | 3 | false | syabusyabu0141/aboveafter | 2022-08-01T07:03:30.000Z | null | false | e41f64926b3bc738bb3c003284beec48bbabf9c3 | [] | [] | https://huggingface.co/datasets/syabusyabu0141/aboveafter/resolve/main/README.md | |
Li-Tang | null | null | null | false | 2 | false | Li-Tang/cn_text | 2022-07-11T09:50:11.000Z | null | false | e9c8c2d842e5019f0c9bf21d80b786b4445109fa | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Li-Tang/cn_text/resolve/main/README.md | ---
license: apache-2.0
---
|
autoevaluate | null | null | null | false | 6 | false | autoevaluate/autoeval-staging-eval-project-dane-2d14d683-10645434 | 2022-07-11T13:14:03.000Z | null | false | 4c082ce83a06a96df6778730fd41de34f412fd57 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:dane"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-dane-2d14d683-10645434/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- dane
eval_info:
task: entity_extraction
model: saattrupdan/nbailab-base-ner-scandi
metrics: []
dataset_name: dane
dataset_config: default
dataset_split: test
col_mapping:
tokens: tokens
tags: ner_tags
---
# Dataset Card for AutoTrain... |
autoevaluate | null | null | null | false | 6 | false | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-da2ad07e-10655435 | 2022-07-12T05:57:39.000Z | null | false | b570f863dc7da86ab63e1f695309218b12ad010b | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:cnn_dailymail"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-cnn_dailymail-da2ad07e-10655435/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: patrickvonplaten/bert2bert_cnn_daily_mail
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: train
col_mapping:
text: article
target: highlights
---
# Data... |
biglam | null | @MISC{iconclass,
title = {Brill Iconclass AI Test Set},
author={Etienne Posthumus},
year={2020}
} | A dataset for applying machine learning to collections described with the Iconclass classification system. | false | 5 | false | biglam/brill_iconclass | 2022-07-18T11:31:30.000Z | null | false | 17143b1ded46078177ceea0a0e29d19b81305e8f | [] | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"license:cc0-1.0",
"multilinguality:other-iconclass-metadata",
"size_categories:10K<n<100K",
"task_categories:image-classification",
"task_categories:image-to-text",
"task_ids:multi-class-image-classification",
"task_ids:... | https://huggingface.co/datasets/biglam/brill_iconclass/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language: []
language_creators:
- expert-generated
license:
- cc0-1.0
multilinguality:
- other-iconclass-metadata
pretty_name: 'Brill Iconclass AI Test Set '
size_categories:
- 10K<n<100K
source_datasets: []
task_categories:
- image-classification
- image-to-text
task_ids:
-... |
postbot | null | null | null | false | 1 | false | postbot/aeslc_kw | 2022-08-07T12:14:34.000Z | null | false | 530c56654e422a9d36bc549977c2be4c9ed36ab4 | [] | [
"language:en",
"license:mit",
"multilinguality:monolingual",
"source_datasets:aeslc",
"tags:text2text generation",
"tags:email",
"tags:email generation",
"tags:enron"
] | https://huggingface.co/datasets/postbot/aeslc_kw/resolve/main/README.md | ---
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: AESLC - Cleaned & Keyword Extracted
source_datasets:
- aeslc
tags:
- text2text generation
- email
- email generation
- enron
---
## about
- aeslc dataset but cleaned and keywords extracted to a new column
- an EDA website generated via pand... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-conll2003-e2bfcc2b-10665436 | 2022-07-11T14:24:36.000Z | null | false | a07fe10431eed994e4c51cd9fdd1c4ccc39c3b65 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:conll2003"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-conll2003-e2bfcc2b-10665436/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- conll2003
eval_info:
task: entity_extraction
model: huggingface-course/bert-finetuned-ner
metrics: ['jordyvl/ece']
dataset_name: conll2003
dataset_config: conll2003
dataset_split: test
col_mapping:
tokens: tokens
tags: ner_tags
---
#... |
biglam | null | null | null | false | 1 | false | biglam/spanish_golden_age_sonnets | 2022-08-17T14:59:49.000Z | null | false | eec3e29cb3a2ce97e0e2118e14bd4fc958483ba6 | [] | [
"language:es",
"license:cc-by-nc-4.0",
"multilinguality:monolingual"
] | https://huggingface.co/datasets/biglam/spanish_golden_age_sonnets/resolve/main/README.md | ---
annotations_creators: []
language:
- es
language_creators: []
license:
- cc-by-nc-4.0
multilinguality:
- monolingual
pretty_name: Spanish Golden-Age Sonnets
size_categories: []
source_datasets: []
tags: []
task_categories: []
task_ids: []
---
[](https://zenodo.org/badge/... |
biglam | null | @article{DBLP:journals/corr/abs-2005-11140,
author = {Mariona Coll Ardanuy and
Federico Nanni and
Kaspar Beelen and
Kasra Hosseini and
Ruth Ahnert and
Jon Lawrence and
Katherine McDonough and
Giorgia Tolfo and
... | Atypical animacy detection dataset, based on nineteenth-century sentences in English extracted from an open dataset of nineteenth-century books digitized by the British Library (available via https://doi.org/10.21250/db14, British Library Labs, 2014).
This dataset contains 598 sentences containing mentions of machines... | false | 1 | false | biglam/atypical_animacy | 2022-07-22T17:29:12.000Z | null | false | 46abc30ea992972e8838b5b42c386536c47c0054 | [] | [
"arxiv:2005.11140",
"annotations_creators:expert-generated",
"language:en",
"language_creators:machine-generated",
"license:cc0-1.0",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:sentiment-classification",
"ta... | https://huggingface.co/datasets/biglam/atypical_animacy/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- machine-generated
license:
- cc0-1.0
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: Atypical Animacy
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-clas... |
huggingartists | null | @InProceedings{huggingartists:dataset,
title = {Lyrics dataset},
author={Aleksey Korshuk
},
year={2021}
} | This dataset is designed to generate lyrics with HuggingArtists. | false | 1 | false | huggingartists/ciggy-blacc | 2022-10-25T10:39:58.000Z | null | false | 0f125aa00bb67237cc8017b58b976a251eed07f2 | [] | [
"language:en",
"tags:huggingartists",
"tags:lyrics"
] | https://huggingface.co/datasets/huggingartists/ciggy-blacc/resolve/main/README.md | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/ciggy-blacc"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How... |
BomboMaster | null | null | null | false | 1 | false | BomboMaster/unl_tesis_linea_investigacion | 2022-07-28T03:40:45.000Z | null | false | 163a3ddf102809fa5fa09bf959fe6d09123960e5 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/BomboMaster/unl_tesis_linea_investigacion/resolve/main/README.md | ---
license: apache-2.0
---
|
Khedesh | null | null | null | false | 1 | false | Khedesh/DeepSentiPers | 2022-07-12T11:20:46.000Z | null | false | 04faf4f8d767d9caa50f779d67d678244eecf0b5 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Khedesh/DeepSentiPers/resolve/main/README.md | ---
license: apache-2.0
---
|
Khedesh | null | null | null | false | 1 | false | Khedesh/MirasOpinion | 2022-07-12T13:49:58.000Z | null | false | b2d88b253ff514d56adf2262a99ecacccd2c92b2 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Khedesh/MirasOpinion/resolve/main/README.md | ---
license: apache-2.0
---
|
04-07-22 | null | Probing neural language models for understanding of words of estimative probability
Anonymous submission | Probing neural language models for understanding of words of estimative probability
Anonymous submission | false | 1 | false | 04-07-22/wep-probes | 2022-07-12T16:26:46.000Z | null | false | 0681013e6518c8d53cac727b2ca4dc821ffd954c | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/04-07-22/wep-probes/resolve/main/README.md | ---
license: apache-2.0
---
|
mbarnig | null | null | null | false | 1 | false | mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS | 2022-07-12T15:53:36.000Z | null | false | 4bffc758dca44d78c2ee31ee4e87bb1ee0102cd2 | [] | [
"license:cc-by-nc-sa-4.0",
"language:lb",
"language:de",
"language:fr",
"language:en",
"language:pt"
] | https://huggingface.co/datasets/mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS/resolve/main/README.md | ---
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... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-c230b859-684d-4c33-ba1d-1f5cafa82377-327627 | 2022-07-12T12:48:58.000Z | null | false | b0b1ccdad6871e5627a748317f30216af9e03f23 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:squad"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-c230b859-684d-4c33-ba1d-1f5cafa82377-327627/resolve/main/README.md | ---
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... |
nguyenvulebinh | null | null | null | false | 1 | false | nguyenvulebinh/spoken_norm_pattern | 2022-09-28T06:10:15.000Z | null | false | f4d8f1ddfa82c2e325acdeb90d88e3d6c530241a | [] | [] | https://huggingface.co/datasets/nguyenvulebinh/spoken_norm_pattern/resolve/main/README.md | # 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 ... |
VietAI | null | null | null | false | 4 | false | VietAI/spoken_norm_assignment | 2022-07-12T13:33:30.000Z | null | false | fd99d298790f6a4e389eb3df9835bf85bc7e1bfd | [] | [] | https://huggingface.co/datasets/VietAI/spoken_norm_assignment/resolve/main/README.md | # VietAI assignment: Vietnamese Inverse Text Normalization dataset
## Dataset Description
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 ... |
Sa-m | null | null | null | false | 1 | false | Sa-m/cropsVSweed | 2022-07-12T13:48:01.000Z | null | false | 37b34ed990d1333bf869040ab103d19f553ad3d5 | [] | [] | https://huggingface.co/datasets/Sa-m/cropsVSweed/resolve/main/README.md | WeedCrop Image Dataset
Data Description
It includes 2822 images.
Images are annotated in YOLO v5 PyTorch format.
-Train directory contains 2469 images and respective labels in yolov5 Pytorch format.
-Validation directory contains 235 images and respective labels in yolov5 Pytorch format.
-Test directory contains 118 ... |
arbml | null | null | null | false | 70 | false | arbml/ashaar | 2022-09-03T18:05:56.000Z | null | false | b65b3be2d3a7f2d9e799c0b4479e142cbacc3a74 | [] | [] | https://huggingface.co/datasets/arbml/ashaar/resolve/main/README.md | # ashaar
introducing ashaar, the largest dataset for arabic poetry
# general statistics
| metric | value |
|-----------------|-----------|
| number of poems | 254,630 |
| number of baits | 3,857,429 |
| number of poets | 7,167 |
# License
This dataset is released under fair use for research d... |
ilmariky | null | null | null | false | 1 | false | ilmariky/SQuAD_v2_fi | 2022-10-25T15:46:46.000Z | null | false | 625984d7432747c0838d81125d401da72e69b33e | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language_creators:found",
"language:fi",
"license:gpl-3.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"task_categories:question-answering",
"task_ids:extractive-qa",
"tags:question-generation"
] | https://huggingface.co/datasets/ilmariky/SQuAD_v2_fi/resolve/main/README.md | ---
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... |
HamdiJr | null | null | null | false | 1 | false | HamdiJr/Egyptian_hieroglyphs | 2022-07-22T18:31:58.000Z | null | false | fb1586468a932064c125c3053a66bac399271434 | [] | [] | https://huggingface.co/datasets/HamdiJr/Egyptian_hieroglyphs/resolve/main/README.md | # Egyptian hieroglyphs 𓂀
## _Hieroglyphs image dataset along with Language Model !_
## Features
- This dataset is build from the hieroglyphs found in 10 different pictures from the book "The Pyramid of Unas" (Alexandre Piankoff, 1955). W... |
ilmariky | null | null | null | false | 1 | false | ilmariky/WikiQA-100-fi | 2022-10-25T15:47:21.000Z | null | false | ac0e2fc71c40c20d87c743b93ea731663549d5fd | [] | [
"language:fi",
"license:gpl-3.0",
"multilinguality:monolingual",
"size_categories:n<1k",
"task_categories:question-answering",
"task_ids:extractive-qa",
"tags:question-generation"
] | https://huggingface.co/datasets/ilmariky/WikiQA-100-fi/resolve/main/README.md | ---
language:
- fi
license:
- gpl-3.0
multilinguality:
- monolingual
size_categories:
- n<1k
task_categories:
- question-answering
task_ids:
- extractive-qa
pretty_name: WikiQA-100-fi
tags:
- question-generation
train-eval-index:
- config: plain_text
task: question-answering
task_id: extractive_question_answering
... |
espejelomar | null | null | null | false | 1 | false | espejelomar/example | 2022-07-12T23:24:28.000Z | null | false | a60a34cb1bab0c3a438e6e215d0eb13c639de3f4 | [] | [
"license:mit"
] | https://huggingface.co/datasets/espejelomar/example/resolve/main/README.md | ---
license: mit
---
|
gongyug | null | null | null | false | 1 | false | gongyug/DADoc1 | 2022-07-13T00:34:35.000Z | null | false | 43940b6fc454c1a4cbd2257ceb497869190cb4b0 | [] | [
"license:unknown"
] | https://huggingface.co/datasets/gongyug/DADoc1/resolve/main/README.md | ---
license: unknown
---
|
Bingsu | null | null | null | false | 39 | false | Bingsu/KcBERT_Pre-Training_Corpus | 2022-07-13T07:26:02.000Z | null | false | 183fa71f5416ad2ab1b50b6be69769ad1508581a | [] | [
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"language:ko",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:masked-language-modeling... | https://huggingface.co/datasets/Bingsu/KcBERT_Pre-Training_Corpus/resolve/main/README.md | ---
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... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-22d4f209-4087-42ac-a9a4-6d47e201055d-6458 | 2022-07-13T06:49:21.000Z | null | false | d04851f69eb0d5ae952501387d38d2d4eb073a1c | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:samsum"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-22d4f209-4087-42ac-a9a4-6d47e201055d-6458/resolve/main/README.md | ---
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 ... |
Li-Tang | null | null | null | false | 1 | false | Li-Tang/demo | 2022-07-13T08:31:58.000Z | null | false | 107ceaebf9a34cbc98f1f06671f329091ca8935a | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Li-Tang/demo/resolve/main/README.md | ---
license: apache-2.0
---
|
thelou1s | null | null | null | false | 1 | false | thelou1s/AudioSet | 2022-07-13T08:40:42.000Z | null | false | 3260dccba6b51ccb97d5c1f254dca537f878bd71 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/thelou1s/AudioSet/resolve/main/README.md | ---
license: apache-2.0
---
|
dasago78 | null | null | null | false | 1 | false | dasago78/tweets | 2022-07-13T09:54:21.000Z | null | false | c1fd84ff07d2109ae732763f1a493ec701cdf0fc | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/dasago78/tweets/resolve/main/README.md | ---
license: afl-3.0
---
|
pancake | null | null | null | false | 1 | false | pancake/few_shot_datasets | 2022-07-13T11:08:50.000Z | null | false | f157539762cc2043179f65803a83edf536505d2e | [] | [
"license:mit"
] | https://huggingface.co/datasets/pancake/few_shot_datasets/resolve/main/README.md | ---
license: mit
---
# Five standard datasets for few-shot classification
- *miniImageNet*. It contains 100 classes with 600 images in each class, which are built upon the ImageNet dataset. The 100 classes are divided into 64, 16, 20 for meta-training, meta-validation and meta-testing, respectively.
- *tieredImageNet*.... |
merve | null | null | null | false | 1 | false | merve/test_123 | 2022-07-13T11:46:22.000Z | null | false | 7ad1073e6741694e333764f4783cf456063bc126 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/merve/test_123/resolve/main/README.md | ---
license: afl-3.0
---
|
Amro-Kamal | null | null | null | false | 1 | false | Amro-Kamal/ObjectPose | 2022-07-18T17:36:07.000Z | null | false | 83ec5b2be9b212d6b2449659f1f34bfd88daddb2 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Amro-Kamal/ObjectPose/resolve/main/README.md | ---
license: apache-2.0
---
|
JeunesseAfricaine | null | null | null | false | 1 | false | JeunesseAfricaine/my_tweets | 2022-07-13T12:28:15.000Z | null | false | 1712fe0a5a288d611a7ad0d4a2606bbae6e1d20e | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/JeunesseAfricaine/my_tweets/resolve/main/README.md | ---
license: apache-2.0
---
|
pancake | null | null | null | false | 1 | false | pancake/TransVLAD_pretrain_models | 2022-07-13T14:48:19.000Z | null | false | eddd3f1d7abd852e36b6382f7c552cfccd24dacf | [] | [
"license:mit"
] | https://huggingface.co/datasets/pancake/TransVLAD_pretrain_models/resolve/main/README.md | ---
license: mit
---
|
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-6e6ed30f-40d7-4939-99af-0ba4041a05ee-6559 | 2022-07-13T13:44:19.000Z | null | false | babeb4f95e4456db3d2bd7fad9817c1e11bd2fe2 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:glue"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-6e6ed30f-40d7-4939-99af-0ba4041a05ee-6559/resolve/main/README.md | ---
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
---
#... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-516fe874-79cb-42fc-b851-f98848ce24df-6660 | 2022-07-13T13:51:24.000Z | null | false | 3917c429489260542649a032c487a1625a1fb27f | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:glue"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-516fe874-79cb-42fc-b851-f98848ce24df-6660/resolve/main/README.md | ---
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
---
#... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-5968bffe-3bbc-4366-a1a8-9d11b19abcf7-6862 | 2022-07-13T14:03:09.000Z | null | false | fb6e978692355615bcc252f1720e442e932d7ecb | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:emotion"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-5968bffe-3bbc-4366-a1a8-9d11b19abcf7-6862/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- emotion
eval_info:
task: multi_class_classification
model: autoevaluate/multi-class-classification
metrics: ['matthews_correlation']
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: la... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-9e17c416-43f7-4fe8-b337-f391ae065c4a-6963 | 2022-07-13T14:19:40.000Z | null | false | e1515020a6349b9a4f15d6c063dcbfb59ab5b058 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:conll2003"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-9e17c416-43f7-4fe8-b337-f391ae065c4a-6963/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- conll2003
eval_info:
task: entity_extraction
model: autoevaluate/entity-extraction
metrics: []
dataset_name: conll2003
dataset_config: conll2003
dataset_split: test
col_mapping:
tokens: tokens
tags: ner_tags
---
# Dataset Card for Au... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-5cf6dc10-95bf-44e5-9ff2-42dca08d711a-7064 | 2022-07-13T14:26:06.000Z | null | false | a2718d91d23b04a40cf9da5e19e37ba7a40af32d | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:wmt16"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-5cf6dc10-95bf-44e5-9ff2-42dca08d711a-7064/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- wmt16
eval_info:
task: translation
model: autoevaluate/translation
metrics: []
dataset_name: wmt16
dataset_config: ro-en
dataset_split: test
col_mapping:
source: translation.ro
target: translation.en
---
# Dataset Card for AutoTrain ... |
codeparrot | null | null | null | false | 30 | false | codeparrot/github-jupyter-text-code-pairs | 2022-10-25T09:30:34.000Z | null | false | bb88e1af8514f9d01d0134aa319dc77d5ac61699 | [] | [
"language:code",
"license:other",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/codeparrot/github-jupyter-text-code-pairs/resolve/main/README.md | ---
annotations_creators: []
language:
- code
license:
- other
multilinguality:
- monolingual
size_categories:
- unknown
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: github-jupyter-text-code-pairs
---
This is a parsed version of [github-jupyter-parsed](https://huggingface.co/datasets/c... |
autoevaluate | null | null | null | false | 6 | false | autoevaluate/autoeval-staging-eval-project-emotion-41e4622b-10765447 | 2022-07-13T15:02:51.000Z | null | false | e989f41f7b4bd9fcc4dee49de89c0e40846e2874 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:emotion"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-emotion-41e4622b-10765447/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- emotion
eval_info:
task: multi_class_classification
model: aatmasidha/distilbert-base-uncased-finetuned-emotion
metrics: []
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: label
---
#... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-conll2003-70dc316d-10775449 | 2022-07-13T16:02:16.000Z | null | false | ad54a715f87110485a83cbcbf6a4a3d2cb14327f | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:conll2003"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-conll2003-70dc316d-10775449/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- conll2003
eval_info:
task: entity_extraction
model: sarahmiller137/distilbert-base-uncased-ft-conll2003
metrics: []
dataset_name: conll2003
dataset_config: conll2003
dataset_split: test
col_mapping:
tokens: tokens
tags: ner_tags
---
... |
nreimers | null | null | null | false | 1 | false | nreimers/reddit_question_best_answers | 2022-07-13T17:25:49.000Z | null | false | c4821b678115e52620027e77f76919953581236c | [] | [] | https://huggingface.co/datasets/nreimers/reddit_question_best_answers/resolve/main/README.md | Question & question body together with the best answers to that question from Reddit.
The score for the question / answer is the upvote count (i.e. positive-negative upvotes).
Only questions / answers that have these properties were extracted:
min_score = 3
min_title_len = 20
min_body_len = 100 |
tiro-is | null | null | null | false | 1 | false | tiro-is/kennsluromur | 2022-08-22T15:27:03.000Z | null | false | 73dc78712bdc87098038515d9fb03bbf97b9e6fb | [] | [] | https://huggingface.co/datasets/tiro-is/kennsluromur/resolve/main/README.md |
# KENNSLURÓMUR - ICELANDIC LECTURES
### [Icelandic]
Kennslurómur - Íslenskir fyrirlestrar er safn af hljóðskrám og samsvarandi texta úr kennslufyrirlestrum sem teknir voru upp í áföngum í Háskólanum í Reykjavík og Háskóla Íslands. Þetta safn má nota við þjálfun talgreina.
Fyrirlesararnir gáfu upptökurnar sínar sem s... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-conll2003-6fdc3173-10805452 | 2022-07-13T16:44:49.000Z | null | false | ed6fe0515a01f2663b65e58af0f0117ea29add96 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:conll2003"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-conll2003-6fdc3173-10805452/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- conll2003
eval_info:
task: entity_extraction
model: issifuamajeed/distilbert-base-uncased-finetuned-ner
metrics: []
dataset_name: conll2003
dataset_config: conll2003
dataset_split: test
col_mapping:
tokens: tokens
tags: ner_tags
---
... |
codeparrot | null | @misc{zhu2022xlcost,
title = {XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence},
url = {https://arxiv.org/abs/2206.08474},
author = {Zhu, Ming and Jain, Aneesh and Suresh, Karthik and Ravindran, Roshan and Tipirneni, Sindhu and Reddy, Chandan K.},
year = {2022},
eprint={2206.0847... | XLCoST is a machine learning benchmark dataset that contains fine-grained parallel data in 7 commonly used programming languages (C++, Java, Python, C#, Javascript, PHP, C), and natural language (English). | false | 221 | false | codeparrot/xlcost-text-to-code | 2022-10-25T09:30:47.000Z | null | false | 60c5c133f043a5cffe162f9de1c62b9d88f309cf | [] | [
"arxiv:2206.08474",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"language:code",
"license:cc-by-sa-4.0",
"multilinguality:multilingual",
"size_categories:unknown",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/codeparrot/xlcost-text-to-code/resolve/main/README.md | ---
annotations_creators: []
language_creators:
- crowdsourced
- expert-generated
language:
- code
license:
- cc-by-sa-4.0
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets: []
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: xlcost-text-to-code
---
# XLCost for te... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-d9df6ac3-10825454 | 2022-07-14T03:24:43.000Z | null | false | def6fb768c983ea694dbf3603b05c043eeeb10b4 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:kmfoda/booksum"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-d9df6ac3-10825454/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- kmfoda/booksum
eval_info:
task: summarization
model: pszemraj/led-base-book-summary
metrics: []
dataset_name: kmfoda/booksum
dataset_config: kmfoda--booksum
dataset_split: test
col_mapping:
text: chapter
target: summary_text
---
# Da... |
arize-ai | null | # @InProceedings{huggingface:dataset,
# title = {A great new dataset},
# author={huggingface, Inc.
# },
# year={2020}
# }
# | 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... | false | 2 | false | arize-ai/fashion_mnist_label_drift | 2022-10-25T10:40:04.000Z | null | false | 46a2c0595dc3673ad5970be668c88155a90b1bd4 | [] | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|imdb",
"task_categories:image-classification",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/arize-ai/fashion_mnist_label_drift/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|imdb
task_categories:
- image-classification
task_ids:
- multi-class-classification
pretty_name: sentiment-classificat... |
facebook | null | @article{nllb2022,
author = {NLLB Team, Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loic Barrault, Gabriel Mejia Gonzalez, Prangthip Han... | The creation of FLORES-200 doubles the existing language coverage of FLORES-101.
Given the nature of the new languages, which have less standardization and require
more specialized professional translations, the verification process became more complex.
This required modifications to the translation workflow. FLORES... | false | 3,886 | false | facebook/flores | 2022-08-09T20:27:39.000Z | flores | false | 80dc3040d19756742c9a18267ab30f54fb8e226b | [] | [
"arxiv:2207.04672",
"language:ace",
"language:acm",
"language:acq",
"language:aeb",
"language:af",
"language:ajp",
"language:ak",
"language:als",
"language:am",
"language:apc",
"language:ar",
"language:ars",
"language:ary",
"language:arz",
"language:as",
"language:ast",
"language:a... | https://huggingface.co/datasets/facebook/flores/resolve/main/README.md | ---
language:
- ace
- acm
- acq
- aeb
- af
- ajp
- ak
- als
- am
- apc
- ar
- ars
- ary
- arz
- as
- ast
- awa
- ayr
- azb
- azj
- ba
- bm
- ban
- be
- bem
- bn
- bho
- bjn
- bo
- bs
- bug
- bg
- ca
- ceb
- cs
- cjk
- ckb
- crh
- cy
- da
- de
- dik
- dyu
- dz
- el
- en
- eo
- et
- eu
- ee
- fo
- fj
- fi
- fon
- fr
- fu... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-emotion-700553d6-10835457 | 2022-07-13T22:40:06.000Z | null | false | d578cb5b1cfdbfe451e7c31f8e00ad48f54a5185 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:emotion"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-emotion-700553d6-10835457/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- emotion
eval_info:
task: multi_class_classification
model: lewiswatson/distilbert-base-uncased-finetuned-emotion
metrics: []
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: label
---
... |
Bingsu | null | null | null | false | 25 | false | Bingsu/namuwiki_20210301_filtered | 2022-10-14T07:49:53.000Z | null | false | bb6b2ea9bac5837836d38dc524d0b987d2a1fc0f | [] | [
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"language:ko",
"license:cc-by-nc-sa-2.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:masked-language-modeli... | https://huggingface.co/datasets/Bingsu/namuwiki_20210301_filtered/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- ko
license:
- cc-by-nc-sa-2.0
multilinguality:
- monolingual
pretty_name: Namuwiki database dump (2021-03-01)
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- fill-mask
- text-generation
task_ids:
- masked... |
RedBaron | null | null | null | false | 1 | false | RedBaron/Naturetreasures | 2022-07-14T02:52:12.000Z | null | false | c46482041aedc5ee17e5915baef04dbf51ef437b | [] | [
"license:artistic-2.0"
] | https://huggingface.co/datasets/RedBaron/Naturetreasures/resolve/main/README.md | ---
license: artistic-2.0
---
|
prasoonskrishnan | null | null | null | false | 2 | false | prasoonskrishnan/movie_recomendation | 2022-07-14T06:10:57.000Z | null | false | b33f4c49d4d160cecff232b288f3471acd242d62 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/prasoonskrishnan/movie_recomendation/resolve/main/README.md | ---
license: afl-3.0
---
|
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-emotion-48491e5e-10845458 | 2022-07-14T06:50:13.000Z | null | false | beb202e174b553589cd2e1e25142a2e6fe4bd0a4 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:emotion"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-emotion-48491e5e-10845458/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- emotion
eval_info:
task: multi_class_classification
model: bhadresh-savani/bertweet-base-finetuned-emotion
metrics: []
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: label
---
# Data... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-emotion-872f08fa-10855459 | 2022-07-14T06:56:34.000Z | null | false | fb9fad767d82d8d50df9ca04cebfa24efe072d7a | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:emotion"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-emotion-872f08fa-10855459/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- emotion
eval_info:
task: multi_class_classification
model: bhadresh-savani/distilbert-base-uncased-finetuned-emotion
metrics: []
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: label
... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-emotion-c4654930-10865460 | 2022-07-14T06:59:05.000Z | null | false | c377dbe9f7c7de4e6c26196dbfea36e09e85277a | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:emotion"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-emotion-c4654930-10865460/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- emotion
eval_info:
task: multi_class_classification
model: bhadresh-savani/electra-base-emotion
metrics: []
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: label
---
# Dataset Card fo... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-xsum-c7d88063-10885461 | 2022-07-15T09:10:49.000Z | null | false | 620a4f99bd28587ddc39712c5d7d2684e31dbf9e | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:xsum"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-xsum-c7d88063-10885461/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- xsum
eval_info:
task: summarization
model: pszemraj/long-t5-tglobal-base-16384-book-summary
metrics: []
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for... |
Zaib | null | null | null | false | 1 | false | Zaib/java-vulnerability | 2022-07-14T11:09:57.000Z | null | false | 49d2869936bc82b372c79b8779c2646872a6d55d | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/Zaib/java-vulnerability/resolve/main/README.md | ---
license: afl-3.0
---
|
elihoole | null | null | null | false | 2 | false | elihoole/asrs-aviation-reports | 2022-07-15T08:48:26.000Z | null | false | f1e681e92cddae20d01fc498d685f1cf6a052d34 | [] | [
"annotations_creators:expert-generated",
"language:en",
"language_creators:other",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:summarization"
] | https://huggingface.co/datasets/elihoole/asrs-aviation-reports/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- other
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: 'ASRS Aviation Incident Reports '
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
---
# Dataset Card for ASRS Aviation Inci... |
demelin | null | @article{Emelin2021MoralSS,
title={Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences},
author={Denis Emelin and Ronan Le Bras and Jena D. Hwang and Maxwell Forbes and Yejin Choi},
journal={ArXiv},
year={2021},
volume={abs/2012.15738}
} | Moral Stories is a crowd-sourced dataset of structured, branching narratives for the study of grounded, goal-oriented
social reasoning. For detailed information, see https://aclanthology.org/2021.emnlp-main.54.pdf. | false | 376 | false | demelin/moral_stories | 2022-07-17T15:29:10.000Z | null | false | b830cf56eb00bc4edd1860dd544a192216eb3587 | [] | [
"annotations_creators:no-annotation",
"language:en",
"language_creators:crowdsourced",
"license:mit",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:multiple-choice",
"task_categories:text-generation",
"task_categories:text-classification"... | https://huggingface.co/datasets/demelin/moral_stories/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- crowdsourced
license:
- mit
multilinguality:
- monolingual
pretty_name: Moral Stories
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- multiple-choice
- text-generation
- text-classification
- commonsense-reasoning... |
demelin | null | @inproceedings{Emelin2021WinoXMW,
title={Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution},
author={Denis Emelin and Rico Sennrich},
booktitle={EMNLP},
year={2021}
} | Wino-X is a parallel dataset of German, French, and Russian Winograd schemas, aligned with their English
counterparts, used to examine whether neural machine translation models can perform coreference resolution that
requires commonsense knowledge and whether multilingual language models are capable of commonsense re... | false | 14 | false | demelin/wino_x | 2022-07-15T22:28:18.000Z | null | false | 79a0451ac1f2e0b1512e25f1a56839e4eb941c48 | [] | [
"annotations_creators:no-annotation",
"language:en",
"language:de",
"language:fr",
"language:ru",
"language_creators:machine-generated",
"language_creators:expert-generated",
"license:mit",
"multilinguality:multilingual",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datas... | https://huggingface.co/datasets/demelin/wino_x/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language:
- en
- de
- fr
- ru
language_creators:
- machine-generated
- expert-generated
license:
- mit
multilinguality:
- multilingual
- translation
pretty_name: Wino-X
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- translation
- coreference resoluti... |
nickcpk | null | null | null | false | 2 | false | nickcpk/handcrafted_en_fr_data | 2022-07-14T14:42:25.000Z | null | false | cbb6e1d3a32411f1b176e4d116f37d414619a703 | [] | [] | https://huggingface.co/datasets/nickcpk/handcrafted_en_fr_data/resolve/main/README.md | This is a handcrafted english to french gender debiasing dataset
Dataset is handcrafted as per the following paper https://aclanthology.org/2020.acl-main.690/ |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-79c1c0d8-10905463 | 2022-07-14T18:31:17.000Z | null | false | 3294fd896c134828fee32e63ca9e99ea7fc8c01d | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:kmfoda/booksum"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-79c1c0d8-10905463/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- kmfoda/booksum
eval_info:
task: summarization
model: pszemraj/led-large-book-summary
metrics: ['bleu', 'perplexity']
dataset_name: kmfoda/booksum
dataset_config: kmfoda--booksum
dataset_split: test
col_mapping:
text: chapter
target: ... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-79c1c0d8-10905464 | 2022-07-15T08:27:05.000Z | null | false | 3bb7788b5d5e27bea1fbbb9fd89bb4119da8f327 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:kmfoda/booksum"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-79c1c0d8-10905464/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- kmfoda/booksum
eval_info:
task: summarization
model: pszemraj/bigbird-pegasus-large-K-booksum
metrics: ['bleu', 'perplexity']
dataset_name: kmfoda/booksum
dataset_config: kmfoda--booksum
dataset_split: test
col_mapping:
text: chapter
... |
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