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e5667df9f571ec439dad39a04299daaf0c0315d1 | # DATASET: AlephNews
| readerbench/AlephNews | [
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] | 2022-10-19T05:50:14+00:00 | {} | 2022-10-19T05:51:00+00:00 | [] | [] | TAGS
#region-us
| # DATASET: AlephNews
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a2ef08d819544455ce73386218eb904242ed6080 |
preprocessing: https://colab.research.google.com/drive/1dbiApU33FBwAfxwlGBK00qAkbUsS9iae?usp=sharing | Adapting/abstract-keyphrases | [
"license:mit",
"region:us"
] | 2022-10-19T05:54:41+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "Abstract", "dtype": "string"}, {"name": "Keywords", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 65697.22222222222, "num_examples": 50}, {"name": "validation", "num_bytes": 26278.88888888889, "num_examples": 20}, {"name": "test", "num_bytes": ... | 2022-11-20T14:20:50+00:00 | [] | [] | TAGS
#license-mit #region-us
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245f937999a7ee923ac968b4bc5c2de896e1130e |
# Dataset from the paper [Debiasing Pre-Trained Language Models via Efficient Fine-Tuning](https://aclanthology.org/2022.ltedi-1.8/)
------------------------
The dataset is formed by combining two different datasets: [WinoBias](https://github.com/uclanlp/corefBias) and [CrowS-Pairs](https://github.com/nyu-mll/crows-pa... | kunwarsaaim/AntiBiasDataset | [
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#license-mit #region-us
|
# Dataset from the paper Debiasing Pre-Trained Language Models via Efficient Fine-Tuning
------------------------
The dataset is formed by combining two different datasets: WinoBias and CrowS-Pairs | [
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091c52677a23ebde4b7c295600a11fdded256175 | # Dataset Card for "viwiki-dummy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | truongpdd/viwiki-dummy | [
"region:us"
] | 2022-10-19T06:29:10+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 507670455, "num_examples": 491}], "download_size": 246069772, "dataset_size": 507670455}} | 2022-10-19T06:29:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "viwiki-dummy"
More Information needed | [
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ffd0fe2470e1c8e56de863269f1dc6d0c87ef635 | # Dataset Card for "wit_vietnamese_subset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | truongpdd/wit_vietnamese_subset | [
"region:us"
] | 2022-10-19T08:38:11+00:00 | {"dataset_info": {"features": [{"name": "language", "dtype": "string"}, {"name": "page_url", "dtype": "string"}, {"name": "image_url", "dtype": "string"}, {"name": "page_title", "dtype": "string"}, {"name": "section_title", "dtype": "string"}, {"name": "hierarchical_section_title", "dtype": "string"}, {"name": "caption... | 2022-10-19T08:41:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wit_vietnamese_subset"
More Information needed | [
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b7509d9b067c2fb51b99fd29702edb290c391c2a | # Dataset Card for "sv_corpora_parliament_processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Menahem/sv_corpora_parliament_processed | [
"region:us"
] | 2022-10-19T10:15:00+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 292351437, "num_examples": 1892723}], "download_size": 158940469, "dataset_size": 292351437}} | 2022-10-19T10:15:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sv_corpora_parliament_processed"
More Information needed | [
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a2afee3eefe8454d5ca26fd31397766b8e2ceebf | # XLCost for text-to-code synthesis
## Dataset Description
This is a subset of [XLCoST benchmark](https://github.com/reddy-lab-code-research/XLCoST), for text-to-code generation at program level for **2** programming languages: `Python, C++`. This dataset is based on [codeparrot/xlcost-text-to-code](https://huggingface... | giulio98/xlcost-single-prompt | [
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| # XLCost for text-to-code synthesis
## Dataset Description
This is a subset of XLCoST benchmark, for text-to-code generation at program level for 2 programming languages: 'Python, C++'. This dataset is based on codeparrot/xlcost-text-to-code with the following improvements:
* NEWLINE, INDENT and DEDENT were replaced wi... | [
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bce8c61d61fe7ced008dc92b345451f380e12414 | # Dataset Card for "lsun_church_train"
Uploading lsun church train dataset for convenience
I've split this into 119915 train and 6312 test but if you want the original test set see https://github.com/fyu/lsun
Notebook that I used to download then upload this dataset: https://colab.research.google.com/drive/1_f-D2ENg... | tglcourse/lsun_church_train | [
"region:us"
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#region-us
| # Dataset Card for "lsun_church_train"
Uploading lsun church train dataset for convenience
I've split this into 119915 train and 6312 test but if you want the original test set see URL
Notebook that I used to download then upload this dataset: URL
More Information needed | [
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... |
0223753056eb23cae494d9b1729c7f74af906ce0 |
# Dataset Card for `reviews_with_drift`
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [language](#language)
- [Dataset Structure](#datase... | arize-ai/beer_reviews_label_drift_neg | [
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|
# Dataset Card for 'reviews_with_drift'
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- language
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
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6594f223b0544fcbf63a6889417a6b9d2e40a77c |
# Inaproppriate Image Prompts (I2P)
The I2P benchmark contains real user prompts for generative text2image prompts that are unproportionately likely to produce <i>inappropriate</i> images.
I2P was introduced in the 2023 CVPR paper [Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models](http... | AIML-TUDA/i2p | [
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#license-mit #arxiv-2211.05105 #region-us
| Inaproppriate Image Prompts (I2P)
=================================
The I2P benchmark contains real user prompts for generative text2image prompts that are unproportionately likely to produce *inappropriate* images.
I2P was introduced in the 2023 CVPR paper Safe Latent Diffusion: Mitigating Inappropriate Degeneration... | [] | [
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3f9b7abbe497912d75c2fac53d33184299499b77 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
The health misinfo dataset is an English Document dataset containing just over 6k unique articles related to health issues from web. This dataset w... | TheoTsio/Health_Misinfo | [
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# Dataset Card for Dataset Name
## Dataset Description
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- Repository:
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### Dataset Summary
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795f874041e2ffed87de1de0179ef6cb5e6ddb94 | # Test | israel/AOHWR | [
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9772109e5f6c5df495967d4ed2165e911ea24547 |
# Dataset Card for `reviews_with_drift`
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [language](#language)
- [Dataset Structure](#datase... | arize-ai/beer_reviews_label_drift_neutral | [
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# Dataset Card for 'reviews_with_drift'
## Table of Contents
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- Supported Tasks and Leaderboards
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eb35cd73924b3b1440ca251b8c27f9503000d7d0 | # Dataset Card for Kill-Me-Please Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
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| Dataset Card for Kill-Me-Please Dataset
=======================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Description
-------------------
* Repository: github pet project r... | [
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c680d3168b82af06fb55adc58c07ac8dd4676473 | # AutoTrain Dataset for project: swin-muppet
## Dataset Description
This dataset has been automatically processed by AutoTrain for project swin-muppet.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
... | Norod78/MuppetFaces | [
"task_categories:image-classification",
"region:us"
] | 2022-10-19T13:33:10+00:00 | {"task_categories": ["image-classification"]} | 2022-10-19T13:45:17+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: swin-muppet
==========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project swin-muppet.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------... | [
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4ebd876e18b1161d1fe37c2fbd4c4777cfe57259 | # Dataset Card for "pereira_fMRI_passages"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | helena-balabin/pereira_fMRI_passages | [
"region:us"
] | 2022-10-19T13:45:37+00:00 | {"dataset_info": {"features": [{"name": "language_lh", "sequence": {"sequence": "float64"}}, {"name": "language_rh", "sequence": {"sequence": "float64"}}, {"name": "vision_body", "sequence": {"sequence": "float64"}}, {"name": "vision_face", "sequence": {"sequence": "float64"}}, {"name": "vision_object", "sequence": {"s... | 2023-07-27T12:34:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pereira_fMRI_passages"
More Information needed | [
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3f9f0f1717d145b86f080ae907aa27a1190caa7c |
# Dataset Card for "scientific_lay_summarisation"
- **Repository:** https://github.com/TGoldsack1/Corpora_for_Lay_Summarisation
- **Paper:** [Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature](https://arxiv.org/abs/2210.09932)
- **Size of downloaded dataset files:** 850.44 MB
- **Size ... | tomasg25/scientific_lay_summarisation | [
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"... | 2022-10-19T13:46:52+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K", "1K<n<10K"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": [], "pretty_name": "ScientificLaySummari... | 2023-12-12T07:51:52+00:00 | [
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=================================================
* Repository: URL
* Paper: Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
* Size of downloaded dataset files: 850.44 MB
* Size of the generated dataset: 1.32 GB
* Total amount of disk... | [
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38ecb87f301650f2c0bac5ffca47bf6c137398d3 | # Dataset Card for "pereira_fMRI_sentences"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | helena-balabin/pereira_fMRI_sentences | [
"region:us"
] | 2022-10-19T14:28:48+00:00 | {"dataset_info": {"features": [{"name": "language_lh", "sequence": {"sequence": "float64"}}, {"name": "language_rh", "sequence": {"sequence": "float64"}}, {"name": "vision_body", "sequence": {"sequence": "float64"}}, {"name": "vision_face", "sequence": {"sequence": "float64"}}, {"name": "vision_object", "sequence": {"s... | 2022-10-19T15:07:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pereira_fMRI_sentences"
More Information needed | [
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83b1ebbbf896baa6f2e9780a954eaede1086b3cc | ## Kinyarwanda-English parallel text
This dataset contains 55,000 Kinyarwanda-English sentence pairs, obtained by scraping web data from religious sources such as:
[Bible](https://servervideos.hopto.org/XMLBible/EnglishKJBible.xml)
[Quran](https://quranenc.com/en/home/download/csv/kinyarwanda_assoc)
This dataset ha... | mbazaNLP/Kinyarwanda_English_parallel_dataset | [
"license:cc-by-4.0",
"region:us"
] | 2022-10-19T14:40:28+00:00 | {"license": "cc-by-4.0", "extra_gated_prompt": "You agree to not attempt to determine the identity of individuals in this dataset", "extra_gated_fields": {"Company": "text", "Country": "text", "Email": "text", "I agree to use this model for non-commercial use ONLY": "checkbox"}} | 2023-04-08T14:01:28+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| ## Kinyarwanda-English parallel text
This dataset contains 55,000 Kinyarwanda-English sentence pairs, obtained by scraping web data from religious sources such as:
Bible
Quran
This dataset has not been curated only cleaned.
| [
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] |
e1378170980e1e93de987c2f4976dc3dd2183975 | ## Dataset Overview
### Intro
This dataset was downloaded from the good folks at fivethirtyeight. You can find the original (or in the future, updated) versions of this and several similar datasets at [this GitHub link.](https://github.com/fivethirtyeight/data/tree/master/nba-raptor)
### Data layout
Here are the c... | andrewkroening/538-NBA-Historical-Raptor | [
"license:cc",
"region:us"
] | 2022-10-19T15:47:53+00:00 | {"license": "cc"} | 2022-11-06T22:14:56+00:00 | [] | [] | TAGS
#license-cc #region-us
| Dataset Overview
----------------
### Intro
This dataset was downloaded from the good folks at fivethirtyeight. You can find the original (or in the future, updated) versions of this and several similar datasets at this GitHub link.
### Data layout
Here are the columns in this dataset, which contains data on ev... | [
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7deafb29500efc4a31d362844b350e8f607b2f62 | # Dataset Card for "CelebA-faces-cropped-128-encoded"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pcuenq/CelebA-faces-cropped-128-encoded | [
"region:us"
] | 2022-10-19T16:07:30+00:00 | {"dataset_info": {"features": [{"name": "latents", "sequence": "float32"}], "splits": [{"name": "test", "num_bytes": 41533000, "num_examples": 10130}, {"name": "train", "num_bytes": 789122900, "num_examples": 192469}], "download_size": 843386957, "dataset_size": 830655900}} | 2022-10-19T16:09:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CelebA-faces-cropped-128-encoded"
More Information needed | [
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8c2d26d202840a3c34e9130114810181613bf6e4 | Data for Semeval 2023 task, clickbait spoiling | Tugay/clickbait-spoiling | [
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6607cbb5129ed0db4817bbfb3b1e65ff7db9a792 | ## Dataset Summary
- **Homepage:** https://sites.google.com/view/salt-nlp-flang
- **Models:** https://huggingface.co/SALT-NLP/FLANG-BERT
- **Repository:** https://github.com/SALT-NLP/FLANG
## FLUE
FLUE (Financial Language Understanding Evaluation) is a comprehensive and heterogeneous benchmark that has been built from... | SALT-NLP/FLUE-FiQA | [
"license:cc-by-3.0",
"region:us"
] | 2022-10-19T22:39:48+00:00 | {"license": "cc-by-3.0"} | 2022-10-21T16:29:14+00:00 | [] | [] | TAGS
#license-cc-by-3.0 #region-us
| ## Dataset Summary
- Homepage: URL
- Models: URL
- Repository: URL
## FLUE
FLUE (Financial Language Understanding Evaluation) is a comprehensive and heterogeneous benchmark that has been built from 5 diverse financial domain specific datasets.
Sentiment Classification: Financial PhraseBank\
Sentiment Analysis, Questi... | [
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5c5c1ed77208cde12cf6dbd819102668587a5fb5 | # Dataset Card for "relbert/semeval2012_relational_similarity_v3"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/)
- **Dataset:** SemEval2012: Relational Similarity
### Dataset Summary
***IMPOR... | research-backup/semeval2012_relational_similarity_v3 | [
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"en"
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#multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us
| Dataset Card for "relbert/semeval2012\_relational\_similarity\_v3"
==================================================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: SemEval2012: Relational Similarity
### Dataset Summary
*IMPORTANT*: This is the same dataset... | [
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0452bbabf6cef498e2c3b5eb908c9a5cf87ff4f6 |
# Dataset Card for "relbert/conceptnet_relation_similarity"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://home.ttic.edu/~kgimpel/commonsense.html](https://home.ttic.edu/~kgimpel/commonsense.html)
- **Dataset:** Relational similarity dataset based on the h... | relbert/conceptnet_relational_similarity | [
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"size_categories:n<1K",
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] | TAGS
#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us
| Dataset Card for "relbert/conceptnet\_relation\_similarity"
===========================================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: Relational similarity dataset based on the high-confidence subset of ConceptNet
### Dataset Summary
The se... | [
"### Dataset Summary\n\n\nThe selected subset of ConceptNet used in this work, which compiled\nto fine-tune RelBERT model.\nWe removed 'NotCapableOf' and 'NotDesires' to keep the positive relation only.\nWe consider the original test set as test set, dev1 as the training set, and dev2 as the validation set.\n\n\nDa... | [
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fee643c48b14fb0a02a609a8162fa5aa704b7305 |
# Dataset Card for Thesaurus of Modern Slovene 1.0
Also known as "Sopomenke 1.0". Available in application form online: https://viri.cjvt.si/sopomenke/slv/.
### Dataset Summary
This is an automatically created Slovene thesaurus from Slovene data available in a comprehensive English–Slovenian dictionary, a monolingu... | cjvt/slo_thesaurus | [
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|
# Dataset Card for Thesaurus of Modern Slovene 1.0
Also known as "Sopomenke 1.0". Available in application form online: URL
### Dataset Summary
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d629ed21778440b449291f2722ee44e599906e5c | # Dataset Card for "masterstack"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | DepositorOP/masterstack | [
"region:us"
] | 2022-10-20T05:41:44+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "labels", "dtype": "float64"}], "splits": [{"name": "test", "num_bytes": 151727.48160821214, "num_examples": 702}, {"name": "train", "num_bytes": 1364250.5183917878, "num_examples": 6312}], "download_size": 1016008, "dataset_size": 1515978.0}} | 2022-10-20T06:07:41+00:00 | [] | [] | TAGS
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| # Dataset Card for "masterstack"
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65a43c364766f0af2d314f6cce3bb1980a1913a4 | # Dataset Card for "enron-mail-corpus-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | amanneo/enron-mail-corpus-mini | [
"region:us"
] | 2022-10-20T05:50:10+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "mail_length", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 205837.52311697626, "num_examples": 4000}, {"name": "train", "num_bytes": 1852537.7080527863, "num_examples": 36000}], "download_size": 2332694, "dataset_size": 205837... | 2022-10-20T12:08:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "enron-mail-corpus-mini"
More Information needed | [
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b2373d69c590ab02b4164d9a912b4eacb1f80bf5 | ## Eraser Dataset Description
- **Homepage:http://www.eraserbenchmark.com**
- **Repository:https://github.com/jayded/eraserbenchmark**
- **Paper:https://arxiv.org/abs/1911.03429**
- **Leaderboard:http://www.eraserbenchmark.com/#leaderboard**
## e-SNLI Dataset Description
- **Repository:https://github.com/OanaMariaCa... | niurl/eraser_esnli | [
"license:apache-2.0",
"arxiv:1911.03429",
"region:us"
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"1911.03429"
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#license-apache-2.0 #arxiv-1911.03429 #region-us
| ## Eraser Dataset Description
- Homepage:URL
- Repository:URL
- Paper:URL
- Leaderboard:URL
## e-SNLI Dataset Description
- Repository:URL
- Paper:URL
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c7368ccc03358758270dbf9e475222444d19926b |
# Dataset Card for FB15k-237
## Table of Contents
- [Dataset Card for FB15k-237](#dataset-card-for-fb15k-237)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards... | KGraph/FB15k-237 | [
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"knowledge graph",
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|
# Dataset Card for FB15k-237
## Table of Contents
- Dataset Card for FB15k-237
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation R... | [
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64562bea2ded1dc071782fe699625f2d27357b41 |
# Dataset Card for SloWNet
### Dataset Summary
sloWNet is the Slovene WordNet developed in the expand approach: it contains the complete Princeton WordNet 3.0 and over 70 000 Slovene literals. These literals have been added automatically using different types of existing resources, such as bilingual dictionaries, pa... | cjvt/slownet | [
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... | 2022-10-20T11:26:34+00:00 | {"annotations_creators": ["machine-generated", "expert-generated"], "language_creators": ["machine-generated", "found"], "language": ["sl"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["other"], "task_ids": [], "pretty_nam... | 2022-10-21T11:44:13+00:00 | [] | [
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|
# Dataset Card for SloWNet
### Dataset Summary
sloWNet is the Slovene WordNet developed in the expand approach: it contains the complete Princeton WordNet 3.0 and over 70 000 Slovene literals. These literals have been added automatically using different types of existing resources, such as bilingual dictionaries, pa... | [
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4a3e56082543ed9eecb9c76ef5eadc1aa0cc5ca0 |
# Dataset Card for CrossWOZ
- **Repository:** https://github.com/thu-coai/CrossWOZ
- **Paper:** https://aclanthology.org/2020.tacl-1.19/
- **Leaderboard:** None
- **Who transforms the dataset:** Qi Zhu(zhuq96 at gmail dot com)
To use this dataset, you need to install [ConvLab-3](https://github.com/ConvLab/ConvLab-3)... | ConvLab/crosswoz | [
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| Dataset Card for CrossWOZ
=========================
* Repository: URL
* Paper: URL
* Leaderboard: None
* Who transforms the dataset: Qi Zhu(zhuq96 at gmail dot com)
To use this dataset, you need to install ConvLab-3 platform first. Then you can load the dataset via:
For more usage please refer to here.
### Data... | [
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cfb34519c9fedf86d0548262071deabaa2443c0b | # Dataset Card for "collected-mail-corpus-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | amanneo/collected-mail-corpus-mini | [
"region:us"
] | 2022-10-20T12:08:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "float64"}, {"name": "email_type", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "mail_length", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 4260.131707317073, "num_examples": 21}, {"name": "train", "num_bytes": 37326.86829268293... | 2022-10-20T12:08:59+00:00 | [] | [] | TAGS
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| # Dataset Card for "collected-mail-corpus-mini"
More Information needed | [
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aa1f981bd3a7bb02a46b9c472ac89a93c7024ed6 |
# Dataset Card for SPICED
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)... | copenlu/spiced | [
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"source_datasets:extended|s2orc... | 2022-10-20T14:18:50+00:00 | {"annotations_creators": ["crowdsourced", "machine-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|s2orc"], "task_categories": ["text-classification"], "task_ids": ["text-scoring", "se... | 2022-10-24T11:31:04+00:00 | [] | [
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# Dataset Card for SPICED
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
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1d1b487f8fa455d2c09468bbfb58d971bf7f1720 | # Dataset Card for "relbert/semeval2012_relational_similarity_v4"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/)
- **Dataset:** SemEval2012: Relational Similarity
### Dataset Summary
***IMPOR... | research-backup/semeval2012_relational_similarity_v4 | [
"multilinguality:monolingual",
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"license:other",
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"en"
] | TAGS
#multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us
| Dataset Card for "relbert/semeval2012\_relational\_similarity\_v4"
==================================================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: SemEval2012: Relational Similarity
### Dataset Summary
*IMPORTANT*: This is the same dataset... | [
"### Dataset Summary\n\n\n*IMPORTANT*: This is the same dataset as relbert/semeval2012\\_relational\\_similarity,\nbut with a different dataset construction.\n\n\nRelational similarity dataset from SemEval2012 task 2, compiled to fine-tune RelBERT model.\nThe dataset contains a list of positive and negative word pa... | [
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f249eac7e732f016ae2db3ea0a1b1f90d76cf722 | # Dataset Card for "israeli_soccer_news"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | devozs/israeli_soccer_news | [
"region:us"
] | 2022-10-20T15:26:57+00:00 | {"dataset_info": {"features": [{"name": "article_title", "dtype": "string"}, {"name": "article_body", "dtype": "string"}, {"name": "article_body_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 8956722.687408645, "num_examples": 4310}, {"name": "validation", "num_bytes": 995422.3125913552, "num_ex... | 2022-10-22T05:20:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "israeli_soccer_news"
More Information needed | [
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be3afa5953eab36033177935489e9515e53555cd |
# Dataset Card for "emotion"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | zbnsl/emoteModified | [
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"emotion-classif... | 2022-10-20T16:33:59+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classifica... | 2022-10-20T17:05:32+00:00 | [] | [
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| Dataset Card for "emotion"
==========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotatio... | [
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"### Supported Tasks and Leaderboards",
"### Languages\n\n\nDataset Structure\n-----------------",
"### ... | [
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c97d2c69303cfb47dc995d477e01c3329ee08568 |
Datasets used in our paper (https://arxiv.org/abs/2210.07468)
```bibtex
@inproceedings{wu-etal-2022-continued,
title = "Transparency Helps Reveal When Language Models Learn Meaning",
author = "Zhaofeng Wu and William Merrill and Hao Peng and Iz Beltagy and Noah A. Smith",
url = {https://arxiv.org/abs/2210... | ZhaofengWu/transparency-data | [
"license:apache-2.0",
"arxiv:2210.07468",
"region:us"
] | 2022-10-20T16:39:28+00:00 | {"license": "apache-2.0"} | 2022-12-02T20:26:57+00:00 | [
"2210.07468"
] | [] | TAGS
#license-apache-2.0 #arxiv-2210.07468 #region-us
|
Datasets used in our paper (URL
Please see the "Files and versions" tab for the data.
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0b26da66cec9a4d1e42bde3560aeae9f89f6433b |
# Dataset Card for KQA Pro
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure... | drt/kqa_pro | [
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# Dataset Card for KQA Pro
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Configs
- Data Splits
- Additional Information
- How to run SPARQLs and programs
- Knowledge Graph File
- How to Submit ... | [
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"TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #annotations_creators-machine-generated #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #knowledge graph #freebase #ar... | [
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dc6044224ca6348df633d07d3079ae8795333de1 |
```python
from datasets import load_dataset
data_name = "anhdungitvn/sccr"
data_files = {"train": "train.tsv", "eval": "eval.tsv"}
sccr = load_dataset(data_name, data_files=data_files)
sccr
```
```python
DatasetDict({
train: Dataset({
features: ['text', 'labels'],
num_rows: 14478
})
eval... | anhdungitvn/sccr | [
"license:apache-2.0",
"region:us"
] | 2022-10-21T02:27:59+00:00 | {"license": "apache-2.0"} | 2022-10-21T02:39:41+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
### References
- <a href="URL Sentiment Classification (Phân loại sắc thái bình luận)</a>
| [
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"passage: TAGS\n#license-apache-2.0 #region-us \n### References\n - <a href=\"URL Sentiment Classification (Phân loại sắc thái bình luận)</a>"
] |
962f9d70b3fcfd790d3f512d857ec8fa0547fd16 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: SpaceDoge/dataset_test_1
* Config: SpaceDoge--dataset... | autoevaluate/autoeval-eval-SpaceDoge__dataset_test_1-SpaceDoge__dataset_test_1-a8c4b7-1826662823 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-21T02:36:22+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["SpaceDoge/dataset_test_1"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-1.3b_eval", "metrics": [], "dataset_name": "SpaceDoge/dataset_test_1", "dataset_config": "SpaceDoge--dataset_test_1", "dataset_split... | 2022-10-21T02:39:36+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: SpaceDoge/dataset_test_1
* Config: SpaceDoge--dataset_test_1
* Split: test
To run new ev... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-1.3b_eval\n* Dataset: SpaceDoge/dataset_test_1\n* Config: SpaceDoge--dataset_test_1\n* Split: test\n... | [
"TAGS\n#autotrain #evaluation #region-us \n",
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0a3222fdc8e5964048ffe5c1476f791863b42169 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: SpaceDoge/dataset_test_1
* Config: SpaceDoge--dataset... | autoevaluate/autoeval-eval-SpaceDoge__dataset_test_1-SpaceDoge__dataset_test_1-a8c4b7-1826662822 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-21T02:36:24+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["SpaceDoge/dataset_test_1"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-350m_eval", "metrics": [], "dataset_name": "SpaceDoge/dataset_test_1", "dataset_config": "SpaceDoge--dataset_test_1", "dataset_split... | 2022-10-21T02:37:58+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: SpaceDoge/dataset_test_1
* Config: SpaceDoge--dataset_test_1
* Split: test
To run new ev... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-350m_eval\n* Dataset: SpaceDoge/dataset_test_1\n* Config: SpaceDoge--dataset_test_1\n* Split: test\n... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-350m_eval\n* Dataset: SpaceDoge/dataset_test_1\n* Co... | [
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6645a4a439b651250e7aec5e5678fa0bf04e693a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: SpaceDoge/dataset_test_1
* Config: SpaceDoge--dataset... | autoevaluate/autoeval-eval-SpaceDoge__dataset_test_1-SpaceDoge__dataset_test_1-a8c4b7-1826662824 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-21T02:36:27+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["SpaceDoge/dataset_test_1"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-2.7b_eval", "metrics": [], "dataset_name": "SpaceDoge/dataset_test_1", "dataset_config": "SpaceDoge--dataset_test_1", "dataset_split... | 2022-10-21T02:41:41+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: SpaceDoge/dataset_test_1
* Config: SpaceDoge--dataset_test_1
* Split: test
To run new ev... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: SpaceDoge/dataset_test_1\n* Config: SpaceDoge--dataset_test_1\n* Split: test\n... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: SpaceDoge/dataset_test_1\n* Co... | [
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cf94a914f6428bf55eb50afe92de3460dcdecfb1 | This is dummy data
license: unknown
---
multilinguality:
- monolingual | bizjay/DataTest | [
"region:us"
] | 2022-10-21T03:21:17+00:00 | {} | 2022-10-28T09:43:44+00:00 | [] | [] | TAGS
#region-us
| This is dummy data
license: unknown
---
multilinguality:
- monolingual | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
18112c5f65fe4c2593104cbc0850e2a7737cc41f |
# oscar dataset only korean | lcw99/oscar-ko-only | [
"language:ko",
"region:us"
] | 2022-10-21T04:38:36+00:00 | {"language": ["ko"]} | 2022-10-21T04:52:05+00:00 | [] | [
"ko"
] | TAGS
#language-Korean #region-us
|
# oscar dataset only korean | [
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56ede88fa531e775aa97d6f958c501207ceace7b | # cc100 dataset Korean only | lcw99/cc100-ko-only | [
"language:ko",
"region:us"
] | 2022-10-21T05:05:16+00:00 | {"language": ["ko"]} | 2022-10-21T06:23:11+00:00 | [] | [
"ko"
] | TAGS
#language-Korean #region-us
| # cc100 dataset Korean only | [
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"passage: TAGS\n#language-Korean #region-us \n# cc100 dataset Korean only"
] |
9ee08c272b9686659e1faa515e73f2c3e0233f04 |
# Dataset Card for [Gitcoin ODS Hackathon GR15]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Creation](#dataset-creation)
- [Source Data](#source-data)
- [Dataset Structure](#dataset-structure)
- [Da... | Poupou/Gitcoin-ODS-Hackhaton-GR15 | [
"task_categories:feature-extraction",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:mit",
"Gitcoin",
"Gitcoin Grants",
"Sybil",
"Sybil Slayers",
"FDD",... | 2022-10-21T08:07:17+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["feature-extraction"], "task_ids": [], "pretty_name": "Gitcoin FDD Open... | 2022-10-30T14:56:15+00:00 | [] | [
"en"
] | TAGS
#task_categories-feature-extraction #annotations_creators-no-annotation #language_creators-expert-generated #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-mit #Gitcoin #Gitcoin Grants #Sybil #Sybil Slayers #FDD #Web3 #Public Goods #Fraud Detection #DAO #... |
# Dataset Card for [Gitcoin ODS Hackathon GR15]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Creation
- Source Data
- Dataset Structure
- Data Instances
- Data Fields
- Considerations for Using the Data
- Social Impact of Dataset
- Additional Information
- Lic... | [
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"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n- Dataset Creation\n - Source Data\n- Dataset Structure\n - Data Instances\n - Data Fields\n- Considerations for Using the Data\n - Social Impact of Dataset\n- Additional ... | [
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3c84296545ff027b36f6d99d921aeb4b48e9ceb1 | # Dataset Card for "relbert/semeval2012_relational_similarity_v5"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/)
- **Dataset:** SemEval2012: Relational Similarity
### Dataset Summary
***IMPOR... | research-backup/semeval2012_relational_similarity_v5 | [
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:other",
"region:us"
] | 2022-10-21T08:18:28+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "pretty_name": "SemEval2012 task 2 Relational Similarity"} | 2022-10-21T09:29:48+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us
| Dataset Card for "relbert/semeval2012\_relational\_similarity\_v5"
==================================================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: SemEval2012: Relational Similarity
### Dataset Summary
*IMPORTANT*: This is the same dataset... | [
"### Dataset Summary\n\n\n*IMPORTANT*: This is the same dataset as relbert/semeval2012\\_relational\\_similarity,\nbut with a different dataset construction.\n\n\nRelational similarity dataset from SemEval2012 task 2, compiled to fine-tune RelBERT model.\nThe dataset contains a list of positive and negative word pa... | [
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f24c2fdd646ac249a494d600e1d0c3f4dbfa3d46 | # Dataset Card for "smol"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | polinaeterna/smol | [
"region:us"
] | 2022-10-21T08:27:05+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 28, "num_examples": 2}, {"name": "train", "num_bytes": 44, "num_examples": 2}], "download_size": 1776, "dataset_size": 72}} | 2022-10-21T08:27:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "smol"
More Information needed | [
"# Dataset Card for \"smol\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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25d0f6bbefef877405cf802ef1e09d57532f191e | # Dataset Card for "tjkicksmel"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | g30rv17ys/tjkicksmel | [
"region:us"
] | 2022-10-21T11:09:05+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "audio_file", "dtype": "string"}, {"name": "slice", "dtype": "int16"}], "splits": [{"name": "train", "num_bytes": 223991.0, "num_examples": 100}], "download_size": 224647, "dataset_size": 223991.0}} | 2022-10-21T11:28:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tjkicksmel"
More Information needed | [
"# Dataset Card for \"tjkicksmel\"\n\nMore Information needed"
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bea81a21dc077bb21f6df5a0385410f4768b97bd | # Mainfest
- CMeEE_train.json: 训练集
- CMeEE_dev.json: 验证集
- CMeEE_test.json: 测试集
- 提交的时候需要为每条记录填充"entities"字段，类型为列表。每个识别出来的实体必须包含"start_idx", "end_idx", "type"3个字段。
- 提交的文件名为：CMeEE_test.json
- example_gold.json: 标准答案示例
- example_pred.json: 提交结果示例
评估指标以严格Micro-F1值为准 | Rosenberg/CMeEE | [
"license:mit",
"region:us"
] | 2022-10-21T12:48:53+00:00 | {"license": "mit"} | 2022-10-25T11:30:05+00:00 | [] | [] | TAGS
#license-mit #region-us
| # Mainfest
- CMeEE_train.json: 训练集
- CMeEE_dev.json: 验证集
- CMeEE_test.json: 测试集
- 提交的时候需要为每条记录填充"entities"字段，类型为列表。每个识别出来的实体必须包含"start_idx", "end_idx", "type"3个字段。
- 提交的文件名为：CMeEE_test.json
- example_gold.json: 标准答案示例
- example_pred.json: 提交结果示例
评估指标以严格Micro-F1值为准 | [
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9141dc1ea6a4efac822323572cb35247ae66c050 | News on Barcelona en spanish media outlets | api19750904/News_bcn_sentiment | [
"region:us"
] | 2022-10-21T14:23:04+00:00 | {} | 2022-10-21T14:25:49+00:00 | [] | [] | TAGS
#region-us
| News on Barcelona en spanish media outlets | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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0b2726b8a85a6eab027db75a1b71b7db8bd7faf2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/data_2
* Config: default
* Split: test
To run new e... | autoevaluate/autoeval-eval-phpthinh__data_2-default-112182-1832662968 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-21T16:24:37+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["phpthinh/data_2"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-560m", "metrics": [], "dataset_name": "phpthinh/data_2", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "... | 2022-10-21T17:22:50+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/data_2
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-560m\n* Dataset: phpthinh/data_2\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit... | [
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44f14afa7b7eff6ed57c00c45d004d5ff2658a33 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/data_1
* Config: default
* Split: test
To run new e... | autoevaluate/autoeval-eval-phpthinh__data_1-default-4c0514-1832562967 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-21T16:24:38+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["phpthinh/data_1"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-560m", "metrics": [], "dataset_name": "phpthinh/data_1", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "... | 2022-10-21T17:20:18+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/data_1
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's... | [
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5572b9894fbc50d2976bd894c872d0ac1f31a7a6 | The Ewe news dataset contains 1,705,600 words, making 4264 different news articles. The articles are collected from different media portals in West Africa. After the collection process, the words are translated and further cross-checked by eight Ewe tutors in Ghana for efficient semantic representation and to prevent a... | VKAgbesi/Ewe_News_Dataset | [
"region:us"
] | 2022-10-21T17:43:00+00:00 | {} | 2022-10-21T17:47:15+00:00 | [] | [] | TAGS
#region-us
| The Ewe news dataset contains 1,705,600 words, making 4264 different news articles. The articles are collected from different media portals in West Africa. After the collection process, the words are translated and further cross-checked by eight Ewe tutors in Ghana for efficient semantic representation and to prevent a... | [] | [
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a324158f6379b6265690bd09b46147c3338be53a | # Dataset Card for "CAYLOU"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/CAYLOU | [
"region:us"
] | 2022-10-21T19:00:17+00:00 | {"dataset_info": {"features": [{"name": "Source", "dtype": "string"}, {"name": "Target", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 597877, "num_examples": 5191}], "download_size": 170284, "dataset_size": 597877}} | 2022-10-21T19:00:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CAYLOU"
More Information needed | [
"# Dataset Card for \"CAYLOU\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"CAYLOU\"\n\nMore Information needed"
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24a2ceacb185767e845fb1126a794f3de5e4ba7a | # Dataset Card for "Arabic_Hate_Speech"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/Arabic_Hate_Speech | [
"region:us"
] | 2022-10-21T19:21:56+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "tweet", "dtype": "string"}, {"name": "is_off", "dtype": "string"}, {"name": "is_hate", "dtype": "string"}, {"name": "is_vlg", "dtype": "string"}, {"name": "is_vio", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1656540, "num_ex... | 2022-10-21T19:22:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Arabic_Hate_Speech"
More Information needed | [
"# Dataset Card for \"Arabic_Hate_Speech\"\n\nMore Information needed"
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e5324fb79212d18f0c10429254a54c639f25a03a | # Dataset Card for "Author_Attribution_Tweets"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/Author_Attribution_Tweets | [
"region:us"
] | 2022-10-21T19:26:24+00:00 | {"dataset_info": {"features": [{"name": "tweet", "dtype": "string"}, {"name": "author", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 2629687, "num_examples": 13341}, {"name": "train", "num_bytes": 10441650, "num_examples": 53198}], "download_size": 6482998, "dataset_size": 13071337}} | 2022-10-21T19:26:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Author_Attribution_Tweets"
More Information needed | [
"# Dataset Card for \"Author_Attribution_Tweets\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"Author_Attribution_Tweets\"\n\nMore Information needed"
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768272dae01e6bfb26841a5389a7e0b5ec5b0aa0 | # Dataset Card for "DAWQAS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/DAWQAS | [
"region:us"
] | 2022-10-21T19:29:03+00:00 | {"dataset_info": {"features": [{"name": "QID", "dtype": "string"}, {"name": "Site_id", "dtype": "string"}, {"name": "Question", "dtype": "string"}, {"name": "Answer", "dtype": "string"}, {"name": "Answer1", "dtype": "string"}, {"name": "Answer2", "dtype": "string"}, {"name": "Answer3", "dtype": "string"}, {"name": "Ans... | 2022-10-21T19:29:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DAWQAS"
More Information needed | [
"# Dataset Card for \"DAWQAS\"\n\nMore Information needed"
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"# Dataset Card for \"DAWQAS\"\n\nMore Information needed"
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45d52638e7c1582648dc4522dcf6f16bff05e749 | # Community Dataset
Community suggestions to improve machine translations
https://github.com/LibreTranslate/CommunityDS
https://libretranslate.com/
1653250371.jsonl
```
{"q": "انا احبك يا امي ", "s": "Is breá liom tú, Mam.ggc", "source": "ar", "target": "ga"}
{"q": "plump", "s": "montok", "source": "en", "target":... | argosopentech/libretranslate-communityds | [
"region:us"
] | 2022-10-21T20:59:54+00:00 | {} | 2022-10-21T21:40:45+00:00 | [] | [] | TAGS
#region-us
| # Community Dataset
Community suggestions to improve machine translations
URL
URL
URL
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8afd3c854c3ac246be112e1a055fb5efaefb0e96 |
# Dataset Card for WSDMCup2023
## Dataset Description
- **Homepage:** [Toloka Visual Question Answering Challenge](https://toloka.ai/challenges/wsdm2023)
- **Repository:** [WSDM Cup 2023 Starter Pack](https://github.com/Toloka/WSDMCup2023)
- **Paper:** <https://arxiv.org/abs/2309.16511>
- **Leaderboard:** [CodaLab C... | toloka/WSDMCup2023 | [
"task_categories:visual-question-answering",
"task_ids:visual-question-answering",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
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"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"toloka",
"arxiv:2309.16511",
"region:us"
] | 2022-10-21T21:46:18+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["visual-question-answering"], "task_ids": ["visual-question-answering"], "pret... | 2023-09-29T07:39:52+00:00 | [
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#task_categories-visual-question-answering #task_ids-visual-question-answering #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #toloka #arxiv-2309.16511 #region-us
| Dataset Card for WSDMCup2023
============================
Dataset Description
-------------------
* Homepage: Toloka Visual Question Answering Challenge
* Repository: WSDM Cup 2023 Starter Pack
* Paper: <URL
* Leaderboard: CodaLab Competition Leaderboard
* Point of Contact: research@URL
### Dataset Summary
The... | [
"### Dataset Summary\n\n\nThe WSDMCup2023 Dataset consists of images associated with textual questions.\nOne entry (instance) in our dataset is a question-image pair labeled with the ground truth coordinates of a bounding box containing\nthe visual answer to the given question. The images were obtained from a CC BY... | [
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2507db0904883009d27037f036f424a78c2151ca | Below, we provide access to the datasets used in and created for the EMNLP 2022 paper [Large Language Models are Few-Shot Clinical Information Extractors](https://arxiv.org/abs/2205.12689).
# Task #1: Clinical Sense Disambiguation
For Task #1, we use the original annotations from the [Clinical Acronym Sense Inventory... | mitclinicalml/clinical-ie | [
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"arxiv:2010.02010",
"arxiv:1806.04185",
"region:us"
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] | [] | TAGS
#arxiv-2205.12689 #arxiv-2010.02010 #arxiv-1806.04185 #region-us
| Below, we provide access to the datasets used in and created for the EMNLP 2022 paper Large Language Models are Few-Shot Clinical Information Extractors.
# Task #1: Clinical Sense Disambiguation
For Task #1, we use the original annotations from the Clinical Acronym Sense Inventory (CASI) dataset, described in their p... | [
"# Task #1: Clinical Sense Disambiguation\nFor Task #1, we use the original annotations from the Clinical Acronym Sense Inventory (CASI) dataset, described in their paper. \nAs is common, due to noisiness in the label set, we do not evaluate on the entire dataset, but only on a cleaner subset. For consistency, we u... | [
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8ece234cf7f61947b738f708fbeedd29b3e7bc78 | # Dataset Card for "L_HSAB"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/L_HSAB | [
"region:us"
] | 2022-10-21T22:20:06+00:00 | {"dataset_info": {"features": [{"name": "Tweet", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"1": "abusive", "2": "hate", "3": "normal"}}}}], "splits": [{"name": "train", "num_bytes": 1352345, "num_examples": 5846}], "download_size": 566158, "dataset_size": 1352345}} | 2022-10-21T22:20:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "L_HSAB"
More Information needed | [
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6468c6249f8cf2dc9fd1047a7a33cfcdf164f056 | # Dataset Card for "AraSenti_Lexicon"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/AraSenti_Lexicon | [
"region:us"
] | 2022-10-21T22:26:20+00:00 | {"dataset_info": {"features": [{"name": "Term", "dtype": "string"}, {"name": "Sentiment", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6556665, "num_examples": 225329}], "download_size": 2464254, "dataset_size": 6556665}} | 2022-10-21T22:26:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "AraSenti_Lexicon"
More Information needed | [
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a33b6be24c79b6df9b472ee1bbc57bf9a40b4917 | # Dataset Card for "AraFacts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/AraFacts | [
"region:us"
] | 2022-10-21T22:35:51+00:00 | {"dataset_info": {"features": [{"name": "ClaimID", "dtype": "string"}, {"name": "claim", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "source_label", "dtype": "string"}, {"name": "normalized_label", "dtype": "string"... | 2022-10-21T22:35:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "AraFacts"
More Information needed | [
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c7851e3c61d936d8f892fca61b428f2b0f2b01ce | # Dataset Card for "BBN_Blog_Posts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/BBN_Blog_Posts | [
"region:us"
] | 2022-10-21T22:43:27+00:00 | {"dataset_info": {"features": [{"name": "Arabic_text", "dtype": "string"}, {"name": "ar:manual_sentiment", "dtype": "string"}, {"name": "ar:manual_confidence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 145550, "num_examples": 1200}], "download_size": 76441, "dataset_size": 145550}} | 2022-10-21T22:43:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "BBN_Blog_Posts"
More Information needed | [
"# Dataset Card for \"BBN_Blog_Posts\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"BBN_Blog_Posts\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"BBN_Blog_Posts\"\n\nMore Information needed"
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10a1bc7f22742105d8a8957d8c46c516d2a37dbf |
# Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging
See model at https://huggingface.co/kargaranamir/Hengam
See Demo at https://huggingface.co/spaces/kargaranamir/Hengam
Details at https://github.com/kargaranamir/hengam
## Citation
If you use any part of this repository in your research, p... | kargaranamir/HengamCorpus | [
"language:fa",
"license:mit",
"region:us"
] | 2022-10-21T23:03:10+00:00 | {"language": ["fa"], "license": "mit", "pretty_name": "Hengam Corpus"} | 2023-10-08T21:05:32+00:00 | [] | [
"fa"
] | TAGS
#language-Persian #license-mit #region-us
|
# Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging
See model at URL
See Demo at URL
Details at URL
If you use any part of this repository in your research, please cite it using the following BibTex entry.
| [
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] |
ad92360b864060cf7fde58fb0861d686e02d3fd9 | Clean News Spain | api19750904/clean_news | [
"region:us"
] | 2022-10-22T04:13:05+00:00 | {} | 2022-10-22T04:14:01+00:00 | [] | [] | TAGS
#region-us
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"TAGS\n#region-us \n"
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ca5782a21d5111b3c8a8d0046c70c5e490bb3b02 |
# Bengali Female VS Male Names Dataset
An NLP dataset that contains 2030 data samples of Bengali names and corresponding gender both for female and male. This is a very small and simple toy dataset that can be used by NLP starters to practice sequence classification problem and other NLP problems like gender recogniti... | faruk/bengali-names-vs-gender | [
"license:afl-3.0",
"doi:10.57967/hf/0053",
"region:us"
] | 2022-10-22T05:15:41+00:00 | {"license": "afl-3.0"} | 2022-10-22T06:48:50+00:00 | [] | [] | TAGS
#license-afl-3.0 #doi-10.57967/hf/0053 #region-us
| Bengali Female VS Male Names Dataset
====================================
An NLP dataset that contains 2030 data samples of Bengali names and corresponding gender both for female and male. This is a very small and simple toy dataset that can be used by NLP starters to practice sequence classification problem and othe... | [] | [
"TAGS\n#license-afl-3.0 #doi-10.57967/hf/0053 #region-us \n"
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27
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54d741401d7c2105f5e1a39b9c6669f22c49202e | News spanish media outlets | api19750904/news_stemm_es | [
"region:us"
] | 2022-10-22T07:01:54+00:00 | {} | 2022-10-22T07:03:18+00:00 | [] | [] | TAGS
#region-us
| News spanish media outlets | [] | [
"TAGS\n#region-us \n"
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a5546b26a14869e8be1edca41bf1636f178984c0 | # Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jafdxc/celeb-identities | [
"region:us"
] | 2022-10-22T13:43:56+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "clarkson", "1": "freeman", "2": "jackie_chan", "3": "jennifer", "4": "serena"}}}}], "splits": [{"name": "train", "num_bytes": 1305982.0, "num_examples": 13}], "download_size": 1306199, "datase... | 2022-10-22T13:44:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities"
More Information needed | [
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9ee884078ecc63402fdbf63b023b5001280abadd |
## ESC benchmark diagnostic dataset
## Dataset Summary
As a part of ESC benchmark, we provide a small, 8h diagnostic dataset of in-domain validation data with newly annotated transcriptions. The audio data is sampled from each of the ESC validation sets, giving a range of different domains and speaking styles. The t... | esc-bench/esc-diagnostic-dataset | [
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"multilinguality:monolingual",
"size_categories:100K<n<1M",
... | 2022-10-22T13:47:33+00:00 | {"annotations_creators": ["expert-generated", "crowdsourced", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["cc-by-4.0", "apache-2.0", "cc0-1.0", "cc-by-nc-3.0", "other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M", "1M<n<10M"],... | 2022-10-25T11:34:26+00:00 | [] | [
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## ESC benchmark diagnostic dataset
## Dataset Summary
As a part of ESC benchmark, we provide a small, 8h diagnostic dataset of in-domain validation data with newly annotated transcriptions. The audio data is sampled from each of the ESC validation sets, giving a range of different domains and speaking styles. The t... | [
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a8adb09a4c77f4a9de9ec8bd0c55fcc589ba6464 |
[XSS](�javascript:alert(document.domain))
| orgbug/test | [
"license:apache-2.0",
"region:us"
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b5aa6b7cef550455223dc0e4faacaf8e5621447e | # not demo
alright
## Subheader
This is so cool!
| tiagoseca/raw_dre_corpus | [
"region:us"
] | 2022-10-22T17:53:42+00:00 | {} | 2022-11-02T12:37:09+00:00 | [] | [] | TAGS
#region-us
| # not demo
alright
## Subheader
This is so cool!
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328ac75de85373f41365238b2c9cdf1163c4945c | # Dataset Card for "lyrics_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nick-carroll1/lyrics_dataset | [
"region:us"
] | 2022-10-22T18:59:04+00:00 | {"dataset_info": {"features": [{"name": "Artist", "dtype": "string"}, {"name": "Song", "dtype": "string"}, {"name": "Lyrics", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 371464, "num_examples": 237}], "download_size": 166829, "dataset_size": 371464}} | 2022-10-23T16:56:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lyrics_dataset"
More Information needed | [
"# Dataset Card for \"lyrics_dataset\"\n\nMore Information needed"
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c019b34c131cb6c4b5694f910961f72f6f147ba9 |
# Dataset Card for friends_data
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-stru... | michellejieli/friends_dataset | [
"language:en",
"distilroberta",
"sentiment",
"emotion",
"twitter",
"reddit",
"region:us"
] | 2022-10-22T19:37:03+00:00 | {"language": "en", "tags": ["distilroberta", "sentiment", "emotion", "twitter", "reddit"]} | 2022-10-23T12:21:12+00:00 | [] | [
"en"
] | TAGS
#language-English #distilroberta #sentiment #emotion #twitter #reddit #region-us
|
# Dataset Card for friends_data
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Per... | [
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f8d7080403cdd436f76256cfa60ca1ae64c8617d |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:** https://www.tau-nlp.sites.tau.ac.il/compwebq
- **Repository:** https://github.com/alontalmor/WebAsKB
- **Paper:** https://arxiv.org/abs/1803.06643
- **Leaderboard:** https://www.tau-nlp.sites.tau.ac.il/compwebq-leaderboard
- **Point of Contact:**... | drt/complex_web_questions | [
"license:apache-2.0",
"arxiv:1803.06643",
"arxiv:1807.09623",
"region:us"
] | 2022-10-22T21:14:27+00:00 | {"license": "apache-2.0", "source": "https://github.com/KGQA/KGQA-datasets"} | 2023-04-27T20:04:50+00:00 | [
"1803.06643",
"1807.09623"
] | [] | TAGS
#license-apache-2.0 #arxiv-1803.06643 #arxiv-1807.09623 #region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: URL
- Point of Contact: alontalmor@URL.
### Dataset Summary
A dataset for answering complex questions that require reasoning over multiple web snippets
ComplexWebQuestions is a new dataset that con... | [
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fa56884038f5566930d101134cb74fc8912a92ee | # Dataset Card for "processed_narrative_relationship_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mfigurski80/processed_narrative_relationship_dataset | [
"region:us"
] | 2022-10-22T23:10:43+00:00 | {"dataset_info": {"features": [{"name": "subject", "dtype": "string"}, {"name": "object", "dtype": "string"}, {"name": "dialogue", "dtype": "string"}, {"name": "pair_examples", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 3410751.179531327, "num_examples": 15798}, {"name": "train", "num_bytes": 13642788... | 2022-11-01T01:00:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_narrative_relationship_dataset"
More Information needed | [
"# Dataset Card for \"processed_narrative_relationship_dataset\"\n\nMore Information needed"
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a6895a95b21e1c435a01b40c6be3d7280a727f07 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: Aiyshwariya/bert-finetuned-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new ev... | autoevaluate/autoeval-eval-squad-plain_text-be943f-1842563161 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T01:39:30+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "Aiyshwariya/bert-finetuned-squad", "metrics": ["squad", "bertscore"], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping"... | 2022-10-23T01:42:33+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: Aiyshwariya/bert-finetuned-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's ... | [
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e8e49851544cde36cf86caec6e1e653e4cb56d42 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: Neulvo/bert-finetuned-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluat... | autoevaluate/autoeval-eval-squad-plain_text-be943f-1842563162 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T01:39:34+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "Neulvo/bert-finetuned-squad", "metrics": ["squad", "bertscore"], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"c... | 2022-10-23T01:42:25+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: Neulvo/bert-finetuned-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's autom... | [
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5da30b83882e79083ee59bd450c0ada0300a59d6 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt
* Dataset: squad
* Config: plain_text
* Split: validation
... | autoevaluate/autoeval-eval-squad-plain_text-be943f-1842563163 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T01:39:39+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "21iridescent/RoBERTa-base-finetuned-squad2-lwt", "metrics": ["squad", "bertscore"], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation",... | 2022-10-23T01:42:15+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit H... | [
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884b7444f79ed8f90b22ab80ee2469eb65b697cf |
# Dataset Card for VUA Metaphor Corpus
**Important note#1**: This is a slightly simplified but mostly complete parse of the corpus. What is missing are lemmas and some metadata that was not important at the time of writing the parser. See the section `Simplifications` for more information on this.
**Important note... | matejklemen/vuamc | [
"task_categories:text-classification",
"task_categories:token-classification",
"task_ids:multi-class-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"language:en",
"licens... | 2022-10-23T11:13:08+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K", "100K<n<1M"], "source_datasets": [], "task_categories": ["text-classification", "token-classification"], "task_ids": ["multi-clas... | 2022-10-26T07:50:42+00:00 | [] | [
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# Dataset Card for VUA Metaphor Corpus
Important note#1: This is a slightly simplified but mostly complete parse of the corpus. What is missing are lemmas and some metadata that was not important at the time of writing the parser. See the section 'Simplifications' for more information on this.
Important note#2: Th... | [
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f521d71ad8871bfe07d1b7f809c38ed578d79f93 |
# Space Style Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"art by space_style"```
If it is to strong just add [] around it.
Trained until 15000 steps
I added a 7.5k steps... | Nerfgun3/space_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-23T17:10:11+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-24T18:39:57+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Space Style Embedding / Textual Inversion
=========================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
If it is to strong just add [] around it.
Trained until 15000 steps
... | [] | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
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35
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e75c0ba2a7b8754214c22b71ed4ab002e518d665 | # Portuguese Legal Sentences
Collection of Legal Sentences from the Portuguese Supreme Court of Justice
The goal of this dataset was to be used for MLM and TSDAE
### Contributions
[@rufimelo99](https://github.com/rufimelo99)
| rufimelo/PortugueseLegalSentences-v1 | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"source_datasets:original",
"language:pt",
"license:apache-2.0",
"region:us"
] | 2022-10-23T18:59:44+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["pt"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "source_datasets": ["original"]} | 2022-10-24T12:16:43+00:00 | [] | [
"pt"
] | TAGS
#annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-original #language-Portuguese #license-apache-2.0 #region-us
| # Portuguese Legal Sentences
Collection of Legal Sentences from the Portuguese Supreme Court of Justice
The goal of this dataset was to be used for MLM and TSDAE
### Contributions
@rufimelo99
| [
"# Portuguese Legal Sentences\nCollection of Legal Sentences from the Portuguese Supreme Court of Justice\nThe goal of this dataset was to be used for MLM and TSDAE",
"### Contributions\n@rufimelo99"
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c32097a5d2fbede13730983eb51d2b5defc2df72 |
# Flower Style Embedding / Textual Inversion
<img alt="Showcase" src="https://huggingface.co/datasets/Nerfgun3/flower_style/resolve/main/flower_style_showcase.jpg"/>
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a pro... | Nerfgun3/flower_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2022-10-23T19:34:36+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "thumbnail": "https://huggingface.co/datasets/Nerfgun3/flower_style/resolve/main/flower_style_showcase.jpg", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2022-11-17T13:54:16+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
|
# Flower Style Embedding / Textual Inversion
<img alt="Showcase" src="URL
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
If it is to strong just add [] around it.
Trained until 15000 steps
I added a 7.5k ... | [
"# Flower Style Embedding / Textual Inversion\n\n<img alt=\"Showcase\" src=\"URL",
"## Usage\nTo use this embedding you have to download the file aswell as drop it into the \"\\stable-diffusion-webui\\embeddings\" folder\n\nTo use it in a prompt: \n\nIf it is to strong just add [] around it.\n\nTrained until 1500... | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us \n",
"# Flower Style Embedding / Textual Inversion\n\n<img alt=\"Showcase\" src=\"URL",
"## Usage\nTo use this embedding you have to download the file aswell as drop it into the \"\\stable-diffusi... | [
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bbbeda405dd254bbc39be64fd07ca56e9c42722a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot... | autoevaluate/autoeval-eval-jeffdshen__neqa0_8shot-jeffdshen__neqa0_8shot-5a61bc-1852963397 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa0_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-30b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa0_8shot", "dataset_config": "jeffdshen--neqa0_8shot", "dataset_split": "train"... | 2022-10-24T01:24:00+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot
* Split: train
To run new evaluati... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-30b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Config: jeffdshen--neqa0_8shot\n* Split: train\n\nTo r... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-30b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Config... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-30b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Con... |
628102b7e82b9a387a255a6e51170e64a7674645 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8sho... | autoevaluate/autoeval-eval-jeffdshen__neqa0_8shot-jeffdshen__neqa0_8shot-5a61bc-1852963393 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa0_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-1.3b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa0_8shot", "dataset_config": "jeffdshen--neqa0_8shot", "dataset_split": "train... | 2022-10-23T20:17:44+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot
* Split: train
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-1.3b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Config: jeffdshen--neqa0_8shot\n* Split: train\n\nTo ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-1.3b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Confi... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-1.3b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Co... |
165ecd1b7528c0a28047f431599ec63ccc225ba5 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8sho... | autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063400 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:42+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa2_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-350m_eval", "metrics": [], "dataset_name": "jeffdshen/neqa2_8shot", "dataset_config": "jeffdshen--neqa2_8shot", "dataset_split": "train... | 2022-10-23T20:05:23+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-350m_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Config: jeffdshen--neqa2_8shot\n* Split: train\n\nTo ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-350m_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Confi... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-350m_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Co... |
e2501deb7ee46551f0d545d7cc9d08c205bddd94 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8sho... | autoevaluate/autoeval-eval-jeffdshen__neqa0_8shot-jeffdshen__neqa0_8shot-5a61bc-1852963391 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:43+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa0_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-125m_eval", "metrics": [], "dataset_name": "jeffdshen/neqa0_8shot", "dataset_config": "jeffdshen--neqa0_8shot", "dataset_split": "train... | 2022-10-23T20:04:17+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot
* Split: train
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-125m_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Config: jeffdshen--neqa0_8shot\n* Split: train\n\nTo ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-125m_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Confi... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-125m_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Co... |
386f0520a81bc2e006e403d88b0e58a25b7edceb | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8sho... | autoevaluate/autoeval-eval-jeffdshen__neqa0_8shot-jeffdshen__neqa0_8shot-5a61bc-1852963392 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:43+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa0_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-350m_eval", "metrics": [], "dataset_name": "jeffdshen/neqa0_8shot", "dataset_config": "jeffdshen--neqa0_8shot", "dataset_split": "train... | 2022-10-23T20:07:19+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot
* Split: train
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-350m_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Config: jeffdshen--neqa0_8shot\n* Split: train\n\nTo ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-350m_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Confi... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-350m_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Co... |
5493c393d6b927541a9bb351bfe46ce48a363ad2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8sho... | autoevaluate/autoeval-eval-jeffdshen__neqa0_8shot-jeffdshen__neqa0_8shot-5a61bc-1852963394 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:43+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa0_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-2.7b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa0_8shot", "dataset_config": "jeffdshen--neqa0_8shot", "dataset_split": "train... | 2022-10-23T20:31:31+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot
* Split: train
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Config: jeffdshen--neqa0_8shot\n* Split: train\n\nTo ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Confi... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Co... |
378354c50946fbf08d8a6563e5da4f69b05f57e1 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8sho... | autoevaluate/autoeval-eval-jeffdshen__neqa0_8shot-jeffdshen__neqa0_8shot-5a61bc-1852963395 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:43+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa0_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-6.7b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa0_8shot", "dataset_config": "jeffdshen--neqa0_8shot", "dataset_split": "train... | 2022-10-23T21:16:35+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot
* Split: train
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-6.7b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Config: jeffdshen--neqa0_8shot\n* Split: train\n\nTo ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-6.7b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Confi... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-6.7b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Co... |
3beafd757977584c5a7b0426b2025d14a12b872d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot... | autoevaluate/autoeval-eval-jeffdshen__neqa0_8shot-jeffdshen__neqa0_8shot-5a61bc-1852963396 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:45+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa0_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-13b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa0_8shot", "dataset_config": "jeffdshen--neqa0_8shot", "dataset_split": "train"... | 2022-10-23T21:56:59+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot
* Split: train
To run new evaluati... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-13b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Config: jeffdshen--neqa0_8shot\n* Split: train\n\nTo r... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-13b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Config... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-13b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Con... |
37caa5b64dbc5c3649fb79afa9d8ac337cacf4df | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8sho... | autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063399 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:46+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa2_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-125m_eval", "metrics": [], "dataset_name": "jeffdshen/neqa2_8shot", "dataset_config": "jeffdshen--neqa2_8shot", "dataset_split": "train... | 2022-10-23T20:02:53+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-125m_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Config: jeffdshen--neqa2_8shot\n* Split: train\n\nTo ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-125m_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Confi... | [
13,
113,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-125m_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Co... |
0d4bc186a5d5a1dc46d0e0206ed53c204f882a88 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8sho... | autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063402 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa2_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-2.7b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa2_8shot", "dataset_config": "jeffdshen--neqa2_8shot", "dataset_split": "train... | 2022-10-23T20:19:17+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Config: jeffdshen--neqa2_8shot\n* Split: train\n\nTo ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Confi... | [
13,
114,
17
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Co... |
b8e140cc5b8866a23c246f84785adce295792c8f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8sho... | autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063401 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:54+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa2_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-1.3b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa2_8shot", "dataset_config": "jeffdshen--neqa2_8shot", "dataset_split": "train... | 2022-10-23T20:14:09+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-1.3b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Config: jeffdshen--neqa2_8shot\n* Split: train\n\nTo ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-1.3b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Confi... | [
13,
113,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-1.3b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Co... |
728799a60277cd443045c7d19c40d4191162e20e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8sho... | autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063403 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T19:59:55+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa2_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-6.7b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa2_8shot", "dataset_config": "jeffdshen--neqa2_8shot", "dataset_split": "train... | 2022-10-23T20:45:29+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-6.7b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Config: jeffdshen--neqa2_8shot\n* Split: train\n\nTo ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-6.7b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Confi... | [
13,
113,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-6.7b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Co... |
8772c16f195f7f98be77d04eee7b64f965607ffd | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot... | autoevaluate/autoeval-eval-jeffdshen__neqa0_8shot-jeffdshen__neqa0_8shot-5a61bc-1852963398 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T20:00:00+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa0_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-66b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa0_8shot", "dataset_config": "jeffdshen--neqa0_8shot", "dataset_split": "train"... | 2022-10-24T07:46:56+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot
* Split: train
To run new evaluati... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-66b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Config: jeffdshen--neqa0_8shot\n* Split: train\n\nTo r... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-66b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Config... | [
13,
113,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-66b_eval\n* Dataset: jeffdshen/neqa0_8shot\n* Con... |
ed6362992ac70b04bf6de9b9707127ed9a81913b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot... | autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063404 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T20:00:02+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa2_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-13b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa2_8shot", "dataset_config": "jeffdshen--neqa2_8shot", "dataset_split": "train"... | 2022-10-23T21:21:29+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluati... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-13b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Config: jeffdshen--neqa2_8shot\n* Split: train\n\nTo r... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-13b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Config... | [
13,
112,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-13b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Con... |
065a794edae01a21ecc4da42eba9271432d2c9de | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot... | autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063405 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T20:00:15+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa2_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-30b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa2_8shot", "dataset_config": "jeffdshen--neqa2_8shot", "dataset_split": "train"... | 2022-10-23T23:35:42+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluati... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-30b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Config: jeffdshen--neqa2_8shot\n* Split: train\n\nTo r... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-30b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Config... | [
13,
112,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-30b_eval\n* Dataset: jeffdshen/neqa2_8shot\n* Con... |
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