id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 6.67k ⌀ | citation stringlengths 0 10.7k ⌀ | likes int64 0 3.66k | downloads int64 0 8.89M | created timestamp[us] | card stringlengths 11 977k | card_len int64 11 977k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|
multiIR/multi2016-9 | 2022-04-22T11:40:10.000Z | [
"region:us"
] | multiIR | null | null | 0 | 2 | 2022-04-22T11:19:28 | Entry not found | 15 | [
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loubnabnl/tokenized-codeparrot-valid | 2022-04-22T14:29:06.000Z | [
"region:us"
] | loubnabnl | null | null | 0 | 2 | 2022-04-22T14:18:25 | Entry not found | 15 | [
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loubnabnl/tokenized-codeparrot-train | 2022-04-22T16:19:47.000Z | [
"region:us"
] | loubnabnl | null | null | 0 | 2 | 2022-04-22T15:55:32 | Entry not found | 15 | [
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Pavithree/askScience | 2022-04-22T16:45:27.000Z | [
"region:us"
] | Pavithree | null | null | 0 | 2 | 2022-04-22T16:39:35 | This dataset is derived from the eli5 dataset vailable on hugging face. | 71 | [
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deancgarcia/Diversity | 2022-12-08T00:16:35.000Z | [
"region:us"
] | deancgarcia | null | null | 0 | 2 | 2022-04-22T16:55:24 | [Needs More Information]
# Dataset Card for dei_article_sentiment
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instance... | 2,624 | [
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ntcuong777/iuontology | 2022-04-23T14:49:22.000Z | [
"region:us"
] | ntcuong777 | null | null | 0 | 2 | 2022-04-23T04:02:40 | # Dataset Card for [IU Ontology Trahsed]
## 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](#data... | 2,482 | [
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johnowhitaker/vqgan1024_reconstruction | 2022-04-23T12:50:13.000Z | [
"region:us"
] | johnowhitaker | null | null | 0 | 2 | 2022-04-23T04:52:52 | VQGAN is great, but leaves artifacts that are especially visible around things like faces.
It's be great to be able to train a model to fix ('devqganify') these flaws.
For this purpose, I've made this dataset, which contains 100k examples, each with
- A 512px image
- A smaller 256px version of the same image
- A rec... | 1,350 | [
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sbusso/fluf | 2022-04-23T05:43:08.000Z | [
"region:us"
] | sbusso | null | null | 0 | 2 | 2022-04-23T05:11:37 | Entry not found | 15 | [
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Pavithree/eli5_split | 2022-04-23T08:33:53.000Z | [
"region:us"
] | Pavithree | null | null | 1 | 2 | 2022-04-23T08:22:39 | This dataset is the subset of original eli5 dataset available in hugging face space | 83 | [
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Xiaowei/github-issues | 2022-04-23T14:21:05.000Z | [
"region:us"
] | Xiaowei | null | null | 0 | 2 | 2022-04-23T13:11:26 | Entry not found | 15 | [
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ntcuong777/iuontology_segmented | 2022-09-08T19:21:31.000Z | [
"region:us"
] | ntcuong777 | null | null | 0 | 2 | 2022-04-23T14:54:19 | Entry not found | 15 | [
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JEFFREY-VERDIERE/star_wars | 2022-04-23T15:15:19.000Z | [
"region:us"
] | JEFFREY-VERDIERE | null | null | 0 | 2 | 2022-04-23T15:02:55 | Entry not found | 15 | [
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johnowhitaker/vqgan1024_encs_sf | 2022-04-23T16:22:37.000Z | [
"region:us"
] | johnowhitaker | null | null | 0 | 2 | 2022-04-23T16:07:38 | Images from CC12M encoded with VQGAN f16 1024
Script to continue prep is included in the repo if you want more than the ~1.5M images I did here.
VQGAN model:
```
!curl -L 'https://heibox.uni-heidelberg.de/d/8088892a516d4e3baf92/files/?p=%2Fckpts%2Flast.ckpt&dl=1' > vqgan_im1024.ckpt
!curl -L 'https://heibox.uni-heide... | 433 | [
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laion/clevr-webdataset | 2022-05-31T14:46:18.000Z | [
"region:us"
] | laion | null | null | 2 | 2 | 2022-04-23T16:37:58 | Entry not found | 15 | [
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johnowhitaker/vqgan16k_reconstruction | 2022-04-24T06:13:26.000Z | [
"region:us"
] | johnowhitaker | null | null | 0 | 2 | 2022-04-23T18:00:28 | VQGAN is great, but leaves artifacts that are especially visible around things like faces.
It's be great to be able to train a model to fix ('devqganify') these flaws.
For this purpose, I've made this dataset, which contains >100k examples, each with
- A 512px image
- A smaller 256px version of the same image
- A re... | 1,431 | [
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chrishuber/kaggle_mnli | 2022-04-23T19:19:52.000Z | [
"arxiv:1704.05426",
"region:us"
] | chrishuber | null | null | 1 | 2 | 2022-04-23T18:16:05 | # Dataset Card for [Kaggle MNLI]
## 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... | 3,319 | [
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johnowhitaker/vqgan16k_encs_sf_190k | 2022-04-23T19:44:08.000Z | [
"region:us"
] | johnowhitaker | null | null | 0 | 2 | 2022-04-23T19:43:32 | Entry not found | 15 | [
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Reproducibility/naacl22_wikitext15M | 2022-04-23T20:11:36.000Z | [
"region:us"
] | Reproducibility | null | null | 0 | 2 | 2022-04-23T20:07:48 | Entry not found | 15 | [
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Reproducibility/naacl22_wikitext15M_eval | 2022-04-24T00:49:39.000Z | [
"region:us"
] | Reproducibility | null | null | 0 | 2 | 2022-04-24T00:49:33 | Entry not found | 15 | [
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lanesket/r-asts | 2022-04-24T01:48:58.000Z | [
"region:us"
] | lanesket | null | null | 0 | 2 | 2022-04-24T01:47:12 | Entry not found | 15 | [
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gagan3012/adab | 2022-04-24T01:59:01.000Z | [
"region:us"
] | gagan3012 | null | null | 0 | 2 | 2022-04-24T01:58:47 | Entry not found | 15 | [
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ozilfan8/Test | 2022-04-24T09:05:11.000Z | [
"region:us"
] | ozilfan8 | null | null | 0 | 2 | 2022-04-24T09:01:09 | Entry not found | 15 | [
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d0r1h/Shlokam | 2022-10-25T10:09:04.000Z | [
"annotations_creators:found",
"language_creators:found",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:sn",
"language:en",
"license:cc-by-3.0",
"region:us"
] | d0r1h | null | null | 0 | 2 | 2022-04-24T09:50:02 | ---
annotations_creators: found
language_creators:
- found
language:
- sn
- en
license: cc-by-3.0
multilinguality:
- translation
size_categories:
- 1K<n<10K
source_datasets:
- original
pretty_name: Shlokam
---
## Dataset Description
- **Homepage:** None
- **Repository:** None
- **Paper:** None
- **Leaderboard:** [Mor... | 393 | [
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maximedb/paws-x-concat | 2022-04-24T10:30:56.000Z | [
"region:us"
] | maximedb | null | null | 0 | 2 | 2022-04-24T10:30:44 | Entry not found | 15 | [
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lanesket/r-asts-val | 2022-04-24T19:25:57.000Z | [
"region:us"
] | lanesket | null | null | 0 | 2 | 2022-04-24T19:25:53 | Entry not found | 15 | [
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gagan3012/OnlineKhatt | 2022-04-24T20:08:52.000Z | [
"region:us"
] | gagan3012 | null | null | 0 | 2 | 2022-04-24T20:05:49 | Entry not found | 15 | [
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rosimeirecosta/c_corpus_br | 2022-04-25T00:26:00.000Z | [
"region:us"
] | rosimeirecosta | null | null | 0 | 2 | 2022-04-24T23:37:15 | Entry not found | 15 | [
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d0r1h/ILC | 2023-09-02T12:03:40.000Z | [
"task_categories:summarization",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-3.0",
"legal",
"region:us"
] | d0r1h | null | null | 0 | 2 | 2022-04-25T07:13:24 | ---
license: cc-by-3.0
language:
- en
pretty_name: ILC
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- summarization
tags:
- legal
---
## Dataset Description
- **Homepage:** None
- **Repository:** [https://github.com/d0r1h/ILC]
- **Paper:** None
- **Leaderboard:** [More Information Needed]
-... | 368 | [
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GENG/word_data | 2022-04-25T08:21:10.000Z | [
"region:us"
] | GENG | null | null | 0 | 2 | 2022-04-25T08:20:17 | Entry not found | 15 | [
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hnchen/hqcn | 2022-04-27T01:52:26.000Z | [
"region:us"
] | hnchen | null | null | 0 | 2 | 2022-04-25T08:25:51 | Entry not found | 15 | [
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0.046539306640625,
0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
Meena/imdb_ratings_table | 2022-04-25T09:25:49.000Z | [
"region:us"
] | Meena | null | null | 0 | 2 | 2022-04-25T08:59:04 | This dataset contains IMDB Ratings of various movies of different languages. This dataset also contains the number of votes each movies received | 144 | [
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0... |
blo05/wiki_titles | 2022-04-25T10:53:44.000Z | [
"region:us"
] | blo05 | null | null | 0 | 2 | 2022-04-25T09:22:32 | Entry not found | 15 | [
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0.0379... |
pietrolesci/gpt3_nli | 2022-04-25T10:17:45.000Z | [
"region:us"
] | pietrolesci | null | null | 2 | 2 | 2022-04-25T09:49:23 | ## Overview
Original dataset available [here](https://github.com/krandiash/gpt3-nli). Debiased dataset generated with GPT-3.
## Dataset curation
All string columns are stripped. Labels are encoded with the following mapping
```
{"entailment": 0, "neutral": 1, "contradiction": 2}
```
## Code to create the dataset
`... | 1,166 | [
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... |
drGOD/test | 2022-04-25T10:43:25.000Z | [
"region:us"
] | drGOD | null | null | 0 | 2 | 2022-04-25T10:41:24 | Entry not found | 15 | [
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0.0379... |
lanesket/r-asts-tokenized | 2022-04-25T11:46:10.000Z | [
"region:us"
] | lanesket | null | null | 0 | 2 | 2022-04-25T11:43:20 | Entry not found | 15 | [
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0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
cakiki/emotion-with-length | 2022-04-25T14:03:16.000Z | [
"region:us"
] | cakiki | null | null | 0 | 2 | 2022-04-25T14:03:12 | Entry not found | 15 | [
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-0.014984130859375,
-0.060394287109375,
0.0379... |
tejasdev/training_data_NSPM | 2022-04-25T15:17:02.000Z | [
"region:us"
] | tejasdev | null | null | 0 | 2 | 2022-04-25T15:16:29 | Entry not found | 15 | [
[
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0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
rosimeirecosta/c_corpus | 2022-04-25T20:03:08.000Z | [
"region:us"
] | rosimeirecosta | 0 | 2 | 2022-04-25T19:49:57 | annotations_creators:
- annotation
languages:
- pt-br
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- ner
# Dataset Card for c_corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-lead... | 2,751 | [
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0.03173828... | ||
AmirulOm/lottie-urls | 2022-10-25T10:12:14.000Z | [
"task_categories:image-segmentation",
"task_ids:instance-segmentation",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"size_categories:n<1K",
"source_datasets:original",
"license:unknown",
"region:us"
] | AmirulOm | null | null | 1 | 2 | 2022-04-25T22:45:19 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language: []
license:
- unknown
multilinguality: []
pretty_name: lottie-uri
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- image-segmentation
task_ids:
- instance-segmentation
---
# Dataset Card for [Dataset Name]
## Ta... | 2,782 | [
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-0.0821533203125,
-0.051910400390625,
0.0047950744... |
Ericblancosf/lenssubtechnique | 2022-04-26T02:10:25.000Z | [
"region:us"
] | Ericblancosf | null | null | 0 | 2 | 2022-04-26T02:09:44 | Entry not found | 15 | [
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0.0379... |
crcb/autotrain-data-isear_bert | 2022-04-26T03:10:34.000Z | [
"task_categories:text-classification",
"region:us"
] | crcb | null | null | 0 | 2 | 2022-04-26T03:06:30 | ---
task_categories:
- text-classification
---
# AutoTrain Dataset for project: isear_bert
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project isear_bert.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample f... | 1,162 | [
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... |
eleldar/different_sub_normal_datasets | 2022-06-16T11:19:15.000Z | [
"region:us"
] | eleldar | null | null | 0 | 2 | 2022-04-26T06:32:15 | Dataset for API: https://github.com/eleldar/Translation | 55 | [
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inseq/dummy_enit | 2022-04-26T12:58:09.000Z | [
"region:us"
] | inseq | null | null | 0 | 2 | 2022-04-26T12:58:06 | Entry not found | 15 | [
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0.0379... |
agemagician/uniref90 | 2022-04-26T14:39:21.000Z | [
"region:us"
] | agemagician | null | null | 2 | 2 | 2022-04-26T14:27:15 | Entry not found | 15 | [
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0.0379... |
hrithikpiyush/scierc | 2022-04-26T18:23:31.000Z | [
"region:us"
] | hrithikpiyush | null | null | 1 | 2 | 2022-04-26T16:54:23 | Entry not found | 15 | [
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0.0379... |
princeton-nlp/glue_fairseq_format | 2022-04-26T21:27:37.000Z | [
"region:us"
] | princeton-nlp | null | null | 0 | 2 | 2022-04-26T21:14:29 | Entry not found | 15 | [
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0.0379... |
murdockthedude/sv_corpora_parliament_processed | 2022-04-26T22:53:22.000Z | [
"region:us"
] | murdockthedude | null | null | 0 | 2 | 2022-04-26T22:52:58 | Entry not found | 15 | [
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spoiled/ecqa_explanation_classify | 2022-05-20T12:21:28.000Z | [
"region:us"
] | spoiled | null | null | 0 | 2 | 2022-04-27T03:38:33 | Entry not found | 15 | [
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aps/bioasq_task_b | 2022-04-27T19:27:39.000Z | [
"region:us"
] | aps | The data are intended to be used as training and development data for BioASQ
10, which will take place during 2022. There is one file containing the data:
- training10b.json
The file contains the data of the first nine editions of the challenge: 4234
questions [1] with their relevant documents, snippets, concepts and... | @article{tsatsaronis2015overview,
title = {
An overview of the BIOASQ large-scale biomedical semantic indexing and
question answering competition
},
author = {
Tsatsaronis, George and Balikas, Georgios and Malakasiotis, Prodromos
and Partalas, Ioannis and Zschunke, Matthias and Alvers, Mic... | 0 | 2 | 2022-04-27T07:07:02 | Entry not found | 15 | [
[
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0.0379... |
junliang/symptom | 2022-05-11T12:57:22.000Z | [
"region:us"
] | junliang | null | null | 0 | 2 | 2022-04-27T07:47:35 | annotations_creators:
- found
language_creators:
- found
languages:
- zh
licenses:
- other-my-license
multilinguality:
- monolingual
pretty_name: symptom
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- word-sense-disambiguation | 287 | [
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0.0428771972656... |
StanBienaives/jade-considerants | 2022-04-27T12:05:42.000Z | [
"region:us"
] | StanBienaives | null | null | 0 | 2 | 2022-04-27T10:28:58 | Entry not found | 15 | [
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kaizan/amisum_v1 | 2022-06-21T11:49:21.000Z | [
"region:us"
] | kaizan | null | null | 0 | 2 | 2022-04-27T11:07:27 | Entry not found | 15 | [
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EAST/autotrain-data-Rule | 2022-10-25T10:12:41.000Z | [
"task_categories:text-classification",
"language:zh",
"region:us"
] | EAST | null | null | 1 | 2 | 2022-04-27T14:55:32 | ---
language:
- zh
task_categories:
- text-classification
---
# AutoTrain Dataset for project: Rule
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project Rule.
### Languages
The BCP-47 code for the dataset's language is zh.
## Dataset Structure
### Data Instances
A sample ... | 1,685 | [
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... |
yerevann/common_voice_9_0 | 2022-04-27T17:32:02.000Z | [
"region:us"
] | yerevann | null | @inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Lang... | 0 | 2 | 2022-04-27T17:21:19 | Entry not found | 15 | [
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-0.052093505859375,
-0.014984130859375,
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0.0379... |
ibrahimmoazzam/mysprecordings | 2022-04-28T08:26:59.000Z | [
"region:us"
] | ibrahimmoazzam | null | null | 0 | 2 | 2022-04-27T18:28:00 | Entry not found | 15 | [
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0.0379... |
davanstrien/bl_books_embellishments | 2022-04-27T20:25:14.000Z | [
"region:us"
] | davanstrien | null | null | 0 | 2 | 2022-04-27T19:16:14 | Entry not found | 15 | [
[
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0.0379... |
codeparrot/codeparrot-valid-more-filtering | 2022-06-21T17:56:02.000Z | [
"region:us"
] | codeparrot | null | null | 0 | 2 | 2022-04-27T20:57:16 | # CodeParrot 🦜 Dataset Cleaned and filtered (validation)
## Dataset Description
A dataset of Python files from Github. It is a more filtered version of the validation split [codeparrot-clean-valid](https://huggingface.co/datasets/codeparrot/codeparrot-clean-valid) of [codeparrot-clean](https://huggingface.co/dataset... | 996 | [
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TahaRazzaq/urduprusdataset | 2022-04-27T21:43:32.000Z | [
"region:us"
] | TahaRazzaq | null | null | 0 | 2 | 2022-04-27T21:43:06 | Entry not found | 15 | [
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0.0379... |
TalTechNLP/VoxLingua107 | 2022-05-05T10:52:37.000Z | [
"license:cc-by-nc-4.0",
"region:us"
] | TalTechNLP | null | null | 0 | 2 | 2022-04-28T07:34:03 | ---
license: cc-by-nc-4.0
---
hello
| 36 | [
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0.01... |
zzzzzzttt/subtrain | 2022-04-28T07:36:26.000Z | [
"region:us"
] | zzzzzzttt | null | null | 0 | 2 | 2022-04-28T07:35:10 | Entry not found | 15 | [
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0.0379... |
strombergnlp/ipm_nel | 2022-10-25T21:41:26.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"named-entity-linking",
"region:us"
] | strombergnlp | This data is for the task of named entity recognition and linking/disambiguation over tweets. It comprises
the addition of an entity URI layer on top of an NER-annotated tweet dataset. The task is to detect entities
and then provide a correct link to them in DBpedia, thus disambiguating otherwise ambiguous entity surfa... | @article{derczynski2015analysis,
title={Analysis of named entity recognition and linking for tweets},
author={Derczynski, Leon and Maynard, Diana and Rizzo, Giuseppe and Van Erp, Marieke and Gorrell, Genevieve and Troncy, Rapha{\"e}l and Petrak, Johann and Bontcheva, Kalina},
journal={Information Processing \& Ma... | 1 | 2 | 2022-04-28T10:06:10 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets: []
task_categories:
- token-classification
task_ids:
- named-entity-recognition
paperswithcode_id: ipm-nel
pretty_name: IPM NEL (Derczynski)... | 7,845 | [
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0.02752685546... |
strombergnlp/shaj | 2022-06-14T14:03:37.000Z | [
"task_ids:hate-speech-detection",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"arxiv:2107.13592",
"doi:10.57967/hf/0514",
"region:us"
] | strombergnlp | This is an abusive/offensive language detection dataset for Albanian. The data is formatted
following the OffensEval convention, with three tasks:
* Subtask A: Offensive (OFF) or not (NOT)
* Subtask B: Untargeted (UNT) or targeted insult (TIN)
* Subtask C: Type of target: individual (IND), group (GRP), or other (OTH)
... | @article{nurce2021detecting,
title={Detecting Abusive Albanian},
author={Nurce, Erida and Keci, Jorgel and Derczynski, Leon},
journal={arXiv preprint arXiv:2107.13592},
year={2021}
} | 1 | 2 | 2022-04-28T10:07:18 | ---
annotations_creators:
- expert-generated
language_creators:
- found
languages:
- sq
- sq-AL
licenses:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text_classification
task_ids:
- hate-speech-detection
- text-classification-other-hate-speech-... | 5,402 | [
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... |
strombergnlp/bornholmsk | 2022-10-25T21:40:56.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:da",
"license:cc-by-4.0",
"region:us"
] | strombergnlp | This corpus introduces language processing resources and tools for Bornholmsk, a language spoken on the island of Bornholm, with roots in Danish and closely related to Scanian.
Sammenfattnijng på borrijnholmst: Dæjnna artikkelijn introduserer natursprågsresurser å varktoi for borrijnholmst, ed språg a dær snakkes på ... | @inproceedings{derczynski-kjeldsen-2019-bornholmsk,
title = "Bornholmsk Natural Language Processing: Resources and Tools",
author = "Derczynski, Leon and
Kjeldsen, Alex Speed",
booktitle = "Proceedings of the 22nd Nordic Conference on Computational Linguistics",
month = sep # "{--}" # oct,
ye... | 1 | 2 | 2022-04-28T10:08:37 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- da
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
language_bcp47:
- da
- da-bornholm
---
## Table of Contents
... | 4,398 | [
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strombergnlp/zulu_stance | 2022-10-25T21:46:14.000Z | [
"task_categories:text-classification",
"task_ids:fact-checking",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:zu",
"license:cc-by-4.0",
"st... | strombergnlp | This is a stance detection dataset in the Zulu language. The data is translated to Zulu by Zulu native speakers, from English source texts.
Misinformation has become a major concern in recent last years given its
spread across our information sources. In the past years, many NLP tasks have
been introduced in this are... | @inproceedings{dlamini_zulu_stance,
title={Bridging the Domain Gap for Stance Detection for the Zulu language},
author={Dlamini, Gcinizwe and Bekkouch, Imad Eddine Ibrahim and Khan, Adil and Derczynski, Leon},
booktitle={Proceedings of IEEE IntelliSys},
year={2022}
} | 1 | 2 | 2022-04-28T10:24:38 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- zu
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- fact-checking
- sentiment-classification
paperswithcode_id: zulu-stance
pr... | 5,761 | [
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0.0070... |
Elfsong/clef_data | 2022-08-29T05:41:54.000Z | [
"region:us"
] | Elfsong | null | null | 1 | 2 | 2022-04-28T11:31:27 | You should know how to use it:)
Just in case, you can email me [mingzhe at nus.edu.sg] if you need any help. | 108 | [
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tomasmcz/word2vec_analogy | 2022-04-28T14:07:56.000Z | [
"license:apache-2.0",
"region:us"
] | tomasmcz | null | null | 2 | 2 | 2022-04-28T11:58:50 | ---
license: apache-2.0
---
Adapted from https://github.com/nicholas-leonard/word2vec | 86 | [
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... |
rockdrigoma/spanish-nahuatl-flagging | 2023-03-20T16:50:45.000Z | [
"region:us"
] | rockdrigoma | null | null | 2 | 2 | 2022-04-28T14:41:22 | Entry not found | 15 | [
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davanstrien/bl_books_flickr_full | 2022-04-29T02:12:11.000Z | [
"region:us"
] | davanstrien | null | null | 0 | 2 | 2022-04-28T15:04:33 | Entry not found | 15 | [
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Zaratahir123/21030019 | 2022-04-28T16:16:03.000Z | [
"region:us"
] | Zaratahir123 | null | null | 0 | 2 | 2022-04-28T16:15:20 | Entry not found | 15 | [
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Zaratahir123/23100133 | 2022-04-28T16:24:46.000Z | [
"region:us"
] | Zaratahir123 | null | null | 0 | 2 | 2022-04-28T16:24:17 | Entry not found | 15 | [
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0.0379... |
Zaratahir123/Group2Data | 2022-04-28T16:40:27.000Z | [
"region:us"
] | Zaratahir123 | null | null | 0 | 2 | 2022-04-28T16:38:50 | Entry not found | 15 | [
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spoiled/pre-answer | 2022-04-29T09:12:28.000Z | [
"region:us"
] | spoiled | null | null | 0 | 2 | 2022-04-29T01:50:07 | Entry not found | 15 | [
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spoiled/with_label | 2022-04-29T09:15:37.000Z | [
"region:us"
] | spoiled | null | null | 0 | 2 | 2022-04-29T03:20:38 | Entry not found | 15 | [
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spoiled/with_random_label | 2022-04-29T09:14:07.000Z | [
"region:us"
] | spoiled | null | null | 0 | 2 | 2022-04-29T03:33:49 | Entry not found | 15 | [
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multiIR/langfiles2018-6_sr | 2022-04-29T08:15:03.000Z | [
"region:us"
] | multiIR | null | null | 0 | 2 | 2022-04-29T08:14:58 | Entry not found | 15 | [
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0.0379... |
Mim/autotrain-data-procell-expert | 2022-04-29T08:27:03.000Z | [
"task_categories:text-classification",
"region:us"
] | Mim | null | null | 0 | 2 | 2022-04-29T08:23:02 | ---
task_categories:
- text-classification
---
# AutoTrain Dataset for project: procell-expert
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project procell-expert.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A ... | 1,126 | [
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doddle124578/speechcorpus | 2022-04-29T09:06:04.000Z | [
"region:us"
] | doddle124578 | null | null | 0 | 2 | 2022-04-29T08:54:08 | Entry not found | 15 | [
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soyasis/wikihow_small | 2022-04-29T10:24:34.000Z | [
"language:en",
"license:mit",
"region:us"
] | soyasis | null | null | 0 | 2 | 2022-04-29T10:17:35 | ---
language: en
license: mit
---
# WikiHow Entries
Contains wikiHow question, answer and summary in `.json` format. | 118 | [
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Samip/scotch_try | 2022-04-29T15:01:55.000Z | [
"region:us"
] | Samip | Scotch is a dataset of about 19 million functions collected from open-source repositiories from GitHub with permissive licenses. Each function has its corresponding code context and about 4 million functions have corresponding docstrings. The dataset includes functions written in programming languages Python, Java, Jav... | @inproceedings{
dahal2022scotch,
title={Scotch: A Semantic Code Search Engine for {IDE}s},
author={Samip Dahal and Adyasha Maharana and Mohit Bansal},
booktitle={Deep Learning for Code Workshop},
year={2022},
url={https://openreview.net/forum?id=rSxfCiOZk-c}
} | 0 | 2 | 2022-04-29T14:48:33 | Entry not found | 15 | [
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DanielHesslow/SwissProt-EC | 2022-04-30T15:12:33.000Z | [
"language:protein sequences",
"Protein",
"Enzyme Commission",
"EC",
"region:us"
] | DanielHesslow | null | null | 0 | 2 | 2022-04-29T19:46:46 | ---
language:
- protein sequences
datasets:
- Swissprot
tags:
- Protein
- Enzyme Commission
- EC
---
Swissprot is a high quality manually annotated protein database. The dataset contains annotations with the functional properties of the proteins. Here we extract proteins with Enzyme Commission labels.
The datase... | 522 | [
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DanielHesslow/SwissProt-Pfam | 2022-04-30T15:15:55.000Z | [
"language:protein sequences",
"Protein",
"PFam",
"region:us"
] | DanielHesslow | null | null | 0 | 2 | 2022-04-29T19:52:56 | ---
language:
- protein sequences
datasets:
- Swissprot
tags:
- Protein
- PFam
---
Swissprot is a high quality manually annotated protein database. The dataset contains annotations with the functional properties of the proteins. Here we extract proteins with PFam labels.
The dataset is ported from Protinfer: http... | 494 | [
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DanielHesslow/SwissProt-GO | 2022-04-30T15:16:48.000Z | [
"language:protein sequences",
"Protein",
"Gene Ontology",
"GO",
"region:us"
] | DanielHesslow | null | null | 0 | 2 | 2022-04-29T19:53:34 | ---
language:
- protein sequences
datasets:
- Swissprot
tags:
- Protein
- Gene Ontology
- GO
---
Swissprot is a high quality manually annotated protein database. The dataset contains annotations with the functional properties of the proteins. Here we extract proteins with Gene Ontology labels.
The dataset is port... | 513 | [
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JEFFREY-VERDIERE/Creditcard | 2022-04-30T13:41:41.000Z | [
"region:us"
] | JEFFREY-VERDIERE | null | null | 0 | 2 | 2022-04-30T13:40:21 | Entry not found | 15 | [
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lightonai/SwissProt-EC-leaf | 2022-05-05T09:54:42.000Z | [
"language:protein sequences",
"Protein",
"Enzyme Commission",
"region:us"
] | lightonai | null | null | 0 | 2 | 2022-04-30T15:14:51 | ---
language:
- protein sequences
datasets:
- Swissprot
tags:
- Protein
- Enzyme Commission
---
# Dataset
Swissprot is a high quality manually annotated protein database. The dataset contains annotations with the functional properties of the proteins. Here we extract proteins with Enzyme Commission labels.
The ... | 910 | [
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0.05645751953125,
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0.03... |
osyvokon/wiki-edits-uk | 2022-07-02T19:06:25.000Z | [
"task_categories:other",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:uk-UA",
"license:cc-by-3.0",
"region:us"
] | osyvokon | null | null | 1 | 2 | 2022-04-30T18:21:55 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- uk-UA
license:
- cc-by-3.0
multilinguality:
- monolingual
- translation
pretty_name: 'Ukrainian Wikipedia edits '
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- other
task_ids: []
---
# Ukrainian Wikipedi... | 2,768 | [
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... |
defector/autotrain-data-company | 2022-10-25T10:12:59.000Z | [
"language:en",
"region:us"
] | defector | null | null | 0 | 2 | 2022-04-30T19:34:55 | ---
language:
- en
---
# AutoTrain Dataset for project: company
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project company.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follow... | 1,682 | [
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-0.051513671875,
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0.01... |
valentij/train.csv | 2022-04-30T20:58:20.000Z | [
"region:us"
] | valentij | null | null | 0 | 2 | 2022-04-30T20:44:45 | Entry not found | 15 | [
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valentij/test.csv | 2022-04-30T20:59:51.000Z | [
"region:us"
] | valentij | null | null | 0 | 2 | 2022-04-30T20:51:17 | Entry not found | 15 | [
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claytonsamples/eurosat-demo | 2022-05-01T00:48:38.000Z | [
"region:us"
] | claytonsamples | null | null | 0 | 2 | 2022-05-01T00:48:20 | Entry not found | 15 | [
[
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0.0379... |
obokkkk/NMT_test | 2022-05-01T11:16:33.000Z | [
"region:us"
] | obokkkk | null | null | 0 | 2 | 2022-05-01T11:16:32 | Entry not found | 15 | [
[
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0.0379... |
multiIR/cc_multi_2021-1_en | 2022-05-02T06:41:14.000Z | [
"region:us"
] | multiIR | null | null | 0 | 2 | 2022-05-02T05:54:30 | Entry not found | 15 | [
[
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0.0379... |
hnchen/ricr_data | 2022-05-02T12:17:23.000Z | [
"region:us"
] | hnchen | null | null | 0 | 2 | 2022-05-02T11:39:48 | Entry not found | 15 | [
[
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-0.014984130859375,
-0.060394287109375,
0.0379... |
lanesket/r-asts-splitted | 2022-05-02T12:55:06.000Z | [
"region:us"
] | lanesket | null | null | 0 | 2 | 2022-05-02T12:49:13 | Entry not found | 15 | [
[
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-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
jdrl96/sv_corpora_parliament_processed | 2022-05-02T13:09:32.000Z | [
"region:us"
] | jdrl96 | null | null | 0 | 2 | 2022-05-02T13:09:12 | Entry not found | 15 | [
[
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0.016998291015625,
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0.0379... |
shanya/crd3 | 2022-10-25T10:13:08.000Z | [
"task_categories:summarization",
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:dialogue-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:... | shanya | Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset.
Critical Role is an unscripted, live-streamed show where a fixed group of people play Dungeons and Dragons, an open-ended role-playing game.
The dataset is collected from 159 Critical Role episodes transcribed to text dialogues, consisting of 398... | @inproceedings{
title = {Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset},
author = {Rameshkumar, Revanth and Bailey, Peter},
year = {2020},
publisher = {Association for Computational Linguistics},
conference = {ACL}
} | 0 | 2 | 2022-05-02T15:01:40 | ---
pretty_name: CRD3 (Critical Role Dungeons and Dragons Dataset)
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- summarization
- text-generation
- fill-mask
task_ids:
- dialogue... | 7,569 | [
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0.0582275390625,
-0.0767822265625,
-0.06365966796875,
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0.... |
Apo/AKE20K_sky | 2022-05-03T07:14:30.000Z | [
"region:us"
] | Apo | null | null | 0 | 2 | 2022-05-03T06:48:45 | Entry not found | 15 | [
[
-0.02142333984375,
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0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
carlosejimenez/snli_aug | 2022-05-03T07:23:14.000Z | [
"region:us"
] | carlosejimenez | null | null | 0 | 2 | 2022-05-03T07:13:16 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
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0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
Apo/AKE20K_sky_13labels | 2022-05-03T07:40:00.000Z | [
"region:us"
] | Apo | null | null | 0 | 2 | 2022-05-03T07:25:09 | Entry not found | 15 | [
[
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0.01702880859375,
-0.052093505859375,
-0.01494598388671875,
-0.06036376953125,
0.03790... |
lanesket/r-asts-splitted-tokenized | 2022-05-03T10:18:45.000Z | [
"region:us"
] | lanesket | null | null | 0 | 2 | 2022-05-03T09:37:14 | Entry not found | 15 | [
[
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0.052520751953125,
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0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
NishinoTSK/Dissertacao | 2022-05-16T17:22:43.000Z | [
"region:us"
] | NishinoTSK | null | null | 0 | 2 | 2022-05-03T13:05:45 | Entry not found | 15 | [
[
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0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
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