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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
kresnik/librispeech_asr_test | 2022-01-18T15:51:58.000Z | [
"region:us"
] | kresnik | \
LibriSpeech is a corpus of approximately 1000 hours of read English speech with sampling rate of 16 kHz,
prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read
audiobooks from the LibriVox project, and has been carefully segmented and aligned.
Note that in order to limit t... | \
@inproceedings{panayotov2015librispeech,
title={Librispeech: an ASR corpus based on public domain audio books},
author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
pages=... | 2 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
kroshan/BioASQ | 2021-12-06T14:32:54.000Z | [
"region:us"
] | kroshan | null | null | 3 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
kroshan/qa_evaluator | 2021-12-06T14:29:29.000Z | [
"region:us"
] | kroshan | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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0.0379... |
kudo-research/mustc-en-es-text-only | 2022-10-22T08:40:43.000Z | [
"annotations_creators:other",
"language_creators:other",
"multilinguality:translation",
"size_categories:unknown",
"language:en",
"language:es",
"license:cc-by-nc-nd-4.0",
"region:us"
] | kudo-research | null | null | 0 | 2 | 2022-03-02T23:29:22 | ---
annotations_creators:
- other
language_creators:
- other
language:
- en
- es
language_bcp47:
- en-US
- es-ES
license:
- cc-by-nc-nd-4.0
multilinguality:
- translation
pretty_name: must-c_en-es_text-only
size_categories:
- unknown
source_datasets: []
task_categories:
- conditional-text-generation
task_ids:
- machine... | 6,897 | [
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0.0... |
laion/filtered-wit | 2022-01-29T22:12:01.000Z | [
"arxiv:2103.00020",
"region:us"
] | laion | null | null | 2 | 2 | 2022-03-02T23:29:22 | # Filtered WIT, an Image-Text Dataset.
A reliable Dataset to run Image-Text models.
You can find WIT, Wikipedia Image Text Dataset, [here](https://github.com/google-research-datasets/wit)
Data was taken from [dalle-mini/wit](https://huggingface.co/datasets/dalle-mini/wit)
## Author
- [Aarush Katta](https://github.co... | 1,664 | [
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0.0310... |
lara-martin/Scifi_TV_Shows | 2022-09-15T18:08:56.000Z | [
"task_categories:other",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"Story Generation",
"region:us"
] | lara-martin | null | null | 2 | 2 | 2022-03-02T23:29:22 | ---
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: Scifi_TV_Shows
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids:
- other-other-story-generation
tags:
- Story Generation
paperswithcode_id: scifi-tv-plots
---
# Datas... | 6,730 | [
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0.0322570... |
JDDFR/CoFiF | 2023-10-25T16:34:56.000Z | [
"task_categories:fill-mask",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"source_datasets:original",
"language:fr",
"license:cc-by-nc-4.0",
"region:us"
] | JDDFR | null | null | 0 | 2 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- fr
license:
- cc-by-nc-4.0
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- fill-mask
---
# Dataset Card for CoFiF
## Dataset Description
- **Repository:** https://github.com/CoFiF/Corpus
- **... | 4,377 | [
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lc-col/sv_corpora_parliament_processed | 2022-01-26T13:41:54.000Z | [
"region:us"
] | lc-col | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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leetdavid/celera | 2022-03-01T10:20:00.000Z | [
"region:us"
] | leetdavid | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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leetdavid/market-positivity-bert-tokenized | 2022-02-28T10:50:21.000Z | [
"region:us"
] | leetdavid | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
leoapolonio/AMI_Meeting_Corpus | 2021-09-27T13:16:24.000Z | [
"region:us"
] | leoapolonio | null | null | 1 | 2 | 2022-03-02T23:29:22 | The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. For a gentle introduction to the corpus, see the corpus overview. To access the data, follow the directions given there. Around two-thirds of the data has been elicited using a scenario in which the participants play differe... | 602 | [
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0.02023315... |
leonadase/fdner | 2022-05-26T12:44:15.000Z | [
"region:us"
] | leonadase | 用于故障诊断领域相关知识的命名实体识别语料 | @inproceedings{tjong-kim-sang-de-meulder-2003-introduction,
title = "Introduction to the Fault_Detection_Ner Task: Language-Independent Named Entity Recognition",
author = "Tian Jie",
year = "2022"
} | 0 | 2 | 2022-03-02T23:29:22 | 轴承故障诊断领域的NER语料，按BIO规则标注。 | 24 | [
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0.037... |
lewtun/asr-preds-test | 2021-07-28T01:22:53.000Z | [
"benchmark:superb",
"region:us"
] | lewtun | null | null | 0 | 2 | 2022-03-02T23:29:22 | ---
benchmark: superb
task: asr
---
# Dummy dataset to test evaluation framework for SUPERB. | 93 | [
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... |
lewtun/bulk-superb-s3p-superb-49606 | 2021-08-02T16:38:29.000Z | [
"benchmark:superb",
"region:us"
] | lewtun | null | null | 1 | 2 | 2022-03-02T23:29:22 | ---
benchmark: superb
task: asr
type: prediction
---
# Batch job
model_id: lewtun/superb-s3prl-osanseviero__hubert_base-asr-cbcd177a
dataset_name: superb
dataset_config: asr
dataset_split: test
dataset_column: file | 216 | [
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0.0... |
lewtun/gem-multi-dataset-predictions | 2021-12-13T08:07:15.000Z | [
"region:us"
] | lewtun | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
lewtun/gem-sub-03 | 2021-12-15T14:34:30.000Z | [
"benchmark:gem",
"region:us"
] | lewtun | null | null | 0 | 2 | 2022-03-02T23:29:22 | ---
benchmark: gem
type: prediction
submission_name: T5-base (Baseline)
---
# GEM submissions for gem-sub-03
## Submitting to the benchmark
FILL ME IN
### Submission file format
Please follow this format for your `submission.json` file:
```json
{
"submission_name": "An identifying name of your system",
"param... | 1,943 | [
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-0.032562255859375,
... |
lewtun/gem-test-predictions | 2021-11-11T09:35:16.000Z | [
"region:us"
] | lewtun | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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-0.060302734375,
0.0379638... |
lewtun/gem-test-references | 2021-11-11T09:34:55.000Z | [
"region:us"
] | lewtun | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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0.0379638... |
lewtun/mnist-preds | 2021-07-16T09:00:01.000Z | [
"benchmark:test",
"region:us"
] | lewtun | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | 0 | 2 | 2022-03-02T23:29:22 | ---
benchmark: test
---
# Dataset Card for RAFT Submission | 59 | [
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lewtun/s3prl-sd-dummy | 2021-07-26T23:17:53.000Z | [
"region:us"
] | lewtun | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
lhoestq/test_zip_txt | 2021-12-13T15:26:28.000Z | [
"region:us"
] | lhoestq | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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0.0379... |
lhoestq/wikipedia_bn | 2023-08-18T09:44:36.000Z | [
"region:us"
] | lhoestq | null | null | 1 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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lijingxin/github-issues | 2021-12-27T09:35:31.000Z | [
"region:us"
] | lijingxin | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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0.0379... |
lijingxin/squad_zh_1 | 2022-02-09T06:10:39.000Z | [
"region:us"
] | lijingxin | null | null | 1 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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lincoln/newsquadfr | 2022-08-05T12:05:24.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"task_ids:open-domain-qa",
"annotations_creators:private",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"source_datasets:newspaper",
"source_datasets:online",
"language:fr-FR",
"license:cc-b... | lincoln | null | null | 2 | 2 | 2022-03-02T23:29:22 | ---
annotations_creators:
- private
language_creators: null
language:
- fr-FR
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
- newspaper
- online
task_categories:
- question-answering
task_ids:
- extractive-qa
- open-domain-qa
paperswithcode_id: null
--... | 5,617 | [
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linhd-postdata/pulpo | 2023-07-10T13:38:07.000Z | [
"size_categories:10M<n<100M",
"language:es",
"language:en",
"language:fr",
"language:it",
"language:cs",
"language:pt",
"language:ar",
"language:zh",
"language:fi",
"language:de",
"language:hu",
"language:ru",
"poetry",
"arxiv:2307.01387",
"region:us"
] | linhd-postdata | null | null | 1 | 2 | 2022-03-02T23:29:22 | ---
language:
- es
- en
- fr
- it
- cs
- pt
- ar
- zh
- fi
- de
- hu
- ru
tags:
- poetry
pretty_name: Prolific Unannotated Literary Poetry Corpus
size_categories:
- 10M<n<100M
---
## PULPO
PULPO, the Prolific Unannotated Literary Poetry Corpus, is a set of multilingual corpora of verses and stanzas with over 95M words... | 2,607 | [
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0.038787841796875,
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0.00815582275390625,
-0.041046142578125,
-0.051177978515625,
0.04681396484375,
0.048248291015625,
-0.01178741455078125,
-0.07257080078125,
-0.0357666015625,
... |
linhd-postdata/stanzas | 2021-11-26T13:59:51.000Z | [
"region:us"
] | linhd-postdata | Stanzas | @InProceedings{--,
author = {---},
title = {---},
booktitle = {---},
year = 2021,
address = "---"
} | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
0.05718994140625,
0.0288238525390625,
-0.035064697265625,
0.046539306640625,
0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
lkarjun/Malayalam-Articles | 2022-02-14T13:31:41.000Z | [
"region:us"
] | lkarjun | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
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0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
lkndsjkndgskjngkjsndkj/jsjdjsdvkjvszlhdskb | 2021-09-23T17:17:02.000Z | [
"region:us"
] | lkndsjkndgskjngkjsndkj | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
0.05718994140625,
0.0288238525390625,
-0.035064697265625,
0.046539306640625,
0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
lorsorlah/Dadedadedam | 2021-08-31T14:48:08.000Z | [
"region:us"
] | lorsorlah | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
0.05718994140625,
0.0288238525390625,
-0.035064697265625,
0.046539306640625,
0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
lsb/million-english-numbers | 2022-01-31T07:17:04.000Z | [
"arxiv:1803.09010",
"region:us"
] | lsb | null | null | 0 | 2 | 2022-03-02T23:29:22 | # Million English Numbers
A list of a million American English numbers, under a AGPL 3.0 license. This datasheet is inspired by [Datasheets for Datasets](https://arxiv.org/abs/1803.09010).
## Sample
```
$ tail -n 5 million-english-numbers
nine hundred ninety nine thousand nine hundred ninety five
nine hundred ninety n... | 6,558 | [
[
-0.0347900390625,
-0.034759521484375,
0.0211181640625,
0.0333251953125,
-0.023834228515625,
-0.01015472412109375,
-0.015594482421875,
-0.0440673828125,
0.0249176025390625,
0.043365478515625,
-0.031951904296875,
-0.038330078125,
-0.033477783203125,
0.04577636... |
lukasmasuch/test | 2021-07-18T16:08:12.000Z | [
"region:us"
] | lukasmasuch | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
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0.0288238525390625,
-0.035064697265625,
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0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
luomingshuang/GRID_audio | 2021-12-09T09:14:40.000Z | [
"region:us"
] | luomingshuang | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.021392822265625,
-0.01494598388671875,
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-0.0350341796875,
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0.052490234375,
0.00507354736328125,
0.051361083984375,
0.01702880859375,
-0.052093505859375,
-0.01494598388671875,
-0.06036376953125,
0.03790... |
luomingshuang/GRID_text | 2021-12-09T10:20:49.000Z | [
"region:us"
] | luomingshuang | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.021392822265625,
-0.01494598388671875,
0.05718994140625,
0.028839111328125,
-0.0350341796875,
0.046539306640625,
0.052490234375,
0.00507354736328125,
0.051361083984375,
0.01702880859375,
-0.052093505859375,
-0.01494598388671875,
-0.06036376953125,
0.03790... |
luozhouyang/dureader | 2021-11-29T04:44:53.000Z | [
"region:us"
] | luozhouyang | null | null | 3 | 2 | 2022-03-02T23:29:22 | # dureader
数据来自千言DuReader数据集，这里是原始地址 [千言数据集：阅读理解](https://aistudio.baidu.com/aistudio/competition/detail/49/0/task-definition)。
> 本数据集只用作学术研究使用。如果本仓库涉及侵权行为，会立即删除。
目前包含以下两个子集：
* DuReader-robust
* DuReader-checklist
```python
from datasets import load_dataset
robust = load_dataset("luozhouyang/dureader", "robust")
... | 387 | [
[
-0.01348114013671875,
-0.037109375,
-0.0008687973022460938,
0.036895751953125,
-0.042724609375,
-0.01393890380859375,
0.00827789306640625,
-0.01125335693359375,
0.007442474365234375,
0.037567138671875,
-0.0249786376953125,
-0.0278472900390625,
-0.04095458984375,... |
luozhouyang/kgclue-knowledge | 2021-12-24T03:30:49.000Z | [
"region:us"
] | luozhouyang | null | null | 0 | 2 | 2022-03-02T23:29:22 | # KgCLUE-Knowledge
The original data is from [CLUEbenchmark/KgCLUE](https://github.com/CLUEbenchmark/KgCLUE).
Here is a JSON version of the original knowledge base.
## Usage
```bash
from datasets import load_dataset
dataset = load_dataset("luozhouyang/kgclue-knowledge")
# or select files
dataset = load_dataset("l... | 396 | [
[
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-0.002193450927734375,
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0.032745361328125,
0.068359375,
-0.050048828125,
-0.049224853515625,
-0.035430908203125,
0.00... |
luozhouyang/question-answering-datasets | 2021-11-26T11:09:10.000Z | [
"region:us"
] | luozhouyang | null | null | 0 | 2 | 2022-03-02T23:29:22 | # question-answering-datasets
Datasets for Question Answering task!
```yaml
annotations_creators:
- found
language_creators:
- found
languages:
- zh-CN
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: question-answering-datasets
size_categories:
- unknown
source_datasets:
- original
task_categories:
... | 388 | [
[
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-0.053924560546875,
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0.0171661376953125,
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0.05975341796875,
-0.08612060546875,
-0.0467529296875,
-0.03204345703125,
... |
lvwerra/abc-test | 2022-02-21T22:10:45.000Z | [
"region:us"
] | lvwerra | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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-0.01495361328125,
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0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
lvwerra/github-alphacode | 2022-02-11T14:37:03.000Z | [
"region:us"
] | lvwerra | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
0.05718994140625,
0.0288238525390625,
-0.035064697265625,
0.046539306640625,
0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
lvwerra/important_dataset | 2022-02-08T20:30:10.000Z | [
"region:us"
] | lvwerra | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
0.05718994140625,
0.0288238525390625,
-0.035064697265625,
0.046539306640625,
0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
lvwerra/red-wine | 2022-02-15T15:55:52.000Z | [
"region:us"
] | lvwerra | null | null | 2 | 2 | 2022-03-02T23:29:22 | # Red Wine Dataset 🍷
This dataset contains the red wine dataset found [here](https://github.com/suvoooo/Machine_Learning). See also [this](https://huggingface.co/julien-c/wine-quality) example of a Scikit-Learn model trained on this dataset. | 242 | [
[
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-0.0474853515625,
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-... |
lvwerra/repo-images | 2022-01-12T08:57:15.000Z | [
"region:us"
] | lvwerra | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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-0.014984130859375,
-0.060394287109375,
0.0379... |
lvwerra/test | 2022-02-08T16:44:57.000Z | [
"region:us"
] | lvwerra | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
lysandre/my-cool-dataset | 2021-11-11T04:19:07.000Z | [
"region:us"
] | lysandre | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
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-0.035064697265625,
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0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
malaysia-ai/pembalakan | 2022-03-30T07:27:36.000Z | [
"region:us"
] | malaysia-ai | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
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0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
manifoldix/sg_testset_fhnw | 2022-02-09T11:34:14.000Z | [
"region:us"
] | manifoldix | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
0.05718994140625,
0.0288238525390625,
-0.035064697265625,
0.046539306640625,
0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
manifoldix/swg_parliament_fhnw | 2022-02-04T13:45:17.000Z | [
"region:us"
] | manifoldix | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
0.05718994140625,
0.0288238525390625,
-0.035064697265625,
0.046539306640625,
0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
manu/fr_corpora_parliament_processed-lowercased | 2022-01-28T19:42:09.000Z | [
"region:us"
] | manu | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
0.05718994140625,
0.0288238525390625,
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0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
marinone94/nst_sv | 2022-05-22T16:25:46.000Z | [
"region:us"
] | marinone94 | This database was created by Nordic Language Technology for the development
of automatic speech recognition and dictation in Swedish.
In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original version of the material,
the files were organized i... | null | 0 | 2 | 2022-03-02T23:29:22 | "This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original version of the material, the files were organized in ... | 1,234 | [
[
-0.028900146484375,
-0.036376953125,
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0.0227203369140625,
0.056884765625,
-0.046905517578125,
-0.046539306640625,
-0.031585693359375,
... |
masked-neuron/ccd | 2021-11-27T23:55:06.000Z | [
"region:us"
] | masked-neuron | The consumer compaint data set is derived from the consumer complaint database
for the purpose of benchmarking quantification / label shift algorithms. The
data set consists of records of compaints about consumer financial products and
services that the Consumer Financial Protection Bureau sent to companies for
respon... | null | 0 | 2 | 2022-03-02T23:29:22 | 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... |
masked-neuron/qb | 2021-12-03T22:57:12.000Z | [
"region:us"
] | masked-neuron | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
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0.0288238525390625,
-0.035064697265625,
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0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... | |
mattchurgin/sv_corpora_parliament_processed | 2022-01-17T03:25:59.000Z | [
"region:us"
] | mattchurgin | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.01495361328125,
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0.0513916015625,
0.016998291015625,
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0.0379... |
matteopilotto/github-issues | 2022-02-12T18:39:01.000Z | [
"region:us"
] | matteopilotto | null | null | 0 | 2 | 2022-03-02T23:29:22 | annotations_creators:
- machine-generated
language_creators:
- machine-generated
languages:
- english
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: This dataset contains issues from Hugging Face Github
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-classification
- text... | 419 | [
[
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... |
maximedb/mcqa_light | 2021-12-29T08:21:10.000Z | [
"region:us"
] | maximedb | MQA is a multilingual corpus of questions and answers parsed from the Common Crawl. Questions are divided between Frequently Asked Questions (FAQ) pages and Community Question Answering (CQA) pages. | @misc{debruyn2021mfaq,
title={MFAQ: a Multilingual FAQ Dataset},
author={Maxime {De Bruyn} and Ehsan Lotfi and Jeska Buhmann and Walter Daelemans},
year={2021},
booktitle={MRQA@EMNLP2021},
} | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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0.0288238525390625,
-0.035064697265625,
0.046539306640625,
0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
maximedb/mfaq_light | 2021-12-29T14:46:14.000Z | [
"region:us"
] | maximedb | MQA is a multilingual corpus of questions and answers parsed from the Common Crawl. Questions are divided between Frequently Asked Questions (FAQ) pages and Community Question Answering (CQA) pages. | @misc{debruyn2021mfaq,
title={MFAQ: a Multilingual FAQ Dataset},
author={Maxime {De Bruyn} and Ehsan Lotfi and Jeska Buhmann and Walter Daelemans},
year={2021},
booktitle={MRQA@EMNLP2021},
} | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0513916015625,
0.016998291015625,
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0.0379... |
maximedb/paws-x-all | 2021-10-20T16:28:36.000Z | [
"region:us"
] | maximedb | PAWS-X, a multilingual version of PAWS (Paraphrase Adversaries from Word Scrambling) for six languages.
This dataset contains 23,659 human translated PAWS evaluation pairs and 296,406 machine
translated training pairs in six typologically distinct languages: French, Spanish, German,
Chinese, Japanese, and Korean. Engli... | @InProceedings{pawsx2019emnlp,
title = {{PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification}},
author = {Yang, Yinfei and Zhang, Yuan and Tar, Chris and Baldridge, Jason},
booktitle = {Proc. of EMNLP},
year = {2019}
} | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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maximedb/vaccinchat | 2021-10-21T12:19:42.000Z | [
"region:us"
] | maximedb | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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maximedb/vaccinchat_retrieval | 2021-12-20T21:41:02.000Z | [
"region:us"
] | maximedb | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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maximedb/wow | 2021-11-23T10:09:28.000Z | [
"region:us"
] | maximedb | In open-domain dialogue intelligent agents should exhibit the use of knowledge, however there are few convincing demonstrations of this to date. The most popular sequence to sequence models typically "generate and hope" generic utterances that can be memorized in the weights of the model when mapping from input utteran... | @article{dinan2018wizard,
title={Wizard of wikipedia: Knowledge-powered conversational agents},
author={Dinan, Emily and Roller, Stephen and Shuster, Kurt and Fan, Angela and Auli, Michael and Weston, Jason},
journal={arXiv preprint arXiv:1811.01241},
year={2018}
} | 1 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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maydogan/TRSAv1 | 2022-02-24T12:36:52.000Z | [
"region:us"
] | maydogan | null | null | 1 | 2 | 2022-03-02T23:29:22 | TRSAv1 (Turkish Sentiment Analysis Version 1) Dataset
This data set has been produced to contribute to Turkish NLP studies.
The dataset consists of a total of 150 thousand samples, 50 thousand negative, 50 thousand positive and 50 thousand neutral.
It can be used in text classification and sentiment analysis studies ... | 556 | [
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mbateman/github-issues | 2021-12-09T17:56:11.000Z | [
"arxiv:2005.00614",
"region:us"
] | mbateman | null | null | 0 | 2 | 2022-03-02T23:29:22 | # Dataset Card for GitHub Issues
## Dataset Description
- **Point of Contact:** [Michael Bateman](michael.bateman.com@gmail.com)
### Dataset Summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets [repository](https://github.com/huggingface/datasets). It is... | 10,516 | [
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meghanabhange/chaii | 2021-10-19T12:56:00.000Z | [
"region:us"
] | meghanabhange | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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meghanabhange/hilm141021 | 2022-10-20T18:37:30.000Z | [
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:hi",
"license:other",
"region:us"
] | meghanabhange | null | null | 0 | 2 | 2022-03-02T23:29:22 | ---
YAML tags:
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- other
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license:
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pretty_name: Hindi Language Modelling
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meghanabhange/hitalm141021 | 2022-10-20T18:39:07.000Z | [
"annotations_creators:other",
"language_creators:other",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:original",
"language:hi",
"language:ta",
"license:other",
"region:us"
] | meghanabhange | null | null | 0 | 2 | 2022-03-02T23:29:22 | ---
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meghanabhange/hitalmsandbox | 2021-10-19T09:26:12.000Z | [
"region:us"
] | meghanabhange | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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meghanabhange/talm141021 | 2022-10-20T18:40:30.000Z | [
"annotations_creators:other",
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"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
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"license:other",
"region:us"
] | meghanabhange | null | null | 0 | 2 | 2022-03-02T23:29:22 | ---
YAML tags:
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merve/folk-mythology-tales | 2021-09-27T10:10:03.000Z | [
"region:us"
] | merve | null | null | 1 | 2 | 2022-03-02T23:29:22 | Link to original dataset is [https://sites.pitt.edu/~dash/folktexts.html](here).
Link to merged and cleaned version is [https://www.kaggle.com/cuddlefish/fairy-tales?select=merged_clean.txt](here)
annotations_creators:
- found
language_creators:
- found
languages:
- en
licenses:
- cc0-1.0
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- monolingu... | 3,193 | [
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merve/qqp | 2021-11-16T10:00:02.000Z | [
"region:us"
] | merve | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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metamong1/summarization_optimization | 2021-12-14T02:49:30.000Z | [
"region:us"
] | metamong1 | Aihub Document summarization data | null | 1 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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midas/citeulike180 | 2022-01-23T06:52:23.000Z | [
"region:us"
] | midas | \ | @inproceedings{medelyan-etal-2009-human,
title = "Human-competitive tagging using automatic keyphrase extraction",
author = "Medelyan, Olena and
Frank, Eibe and
Witten, Ian H.",
booktitle = "Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing",
month = au... | 0 | 2 | 2022-03-02T23:29:22 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific articles. For more details about the dataset please refer the original paper - [https://aclanthology.org/D09-1137/](https://aclanthology.org/D09-1137/)
Original source of the data - []()
... | 17,848 | [
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midas/cstr | 2022-03-05T04:36:34.000Z | [
"region:us"
] | midas | \ | @inproceedings{10.1145/313238.313437,
author = {Witten, Ian H. and Paynter, Gordon W. and Frank, Eibe and Gutwin, Carl and Nevill-Manning, Craig G.},
title = {KEA: Practical Automatic Keyphrase Extraction},
year = {1999},
isbn = {1581131453},
publisher = {Association for Computing Machinery},
address = {New York, NY, U... | 1 | 2 | 2022-03-02T23:29:22 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from english scientific papers. For more details about the dataset please refer the original paper - [https://dl.acm.org/doi/abs/10.1145/313238.313437](https://dl.acm.org/doi/abs/10.1145/313238.313437)
Original source of the ... | 32,792 | [
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midas/inspec_ke_tagged | 2021-11-14T23:45:38.000Z | [
"region:us"
] | midas | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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midas/kdd | 2022-03-05T04:06:21.000Z | [
"region:us"
] | midas | \ | @inproceedings{caragea-etal-2014-citation,
title = "Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach",
author = "Caragea, Cornelia and
Bulgarov, Florin Adrian and
Godea, Andreea and
Das Gollapalli, Sujatha",
booktitle = "Proceedings of the 2014 Conferen... | 0 | 2 | 2022-03-02T23:29:22 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of english scientific papers. For more details about the dataset please refer the original paper - [https://aclanthology.org/D14-1150.pdf](https://aclanthology.org/D14-1150.pdf)
Original source of the data - [](... | 4,120 | [
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midas/kpcrowd | 2022-02-12T05:52:48.000Z | [
"arxiv:1306.4886",
"region:us"
] | midas | \ | @misc{marujo2013supervised,
title={Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization},
author={Luis Marujo and Anatole Gershman and Jaime Carbonell and Robert Frederking and João P. Neto},
year={2013},
eprint={1306.4886}... | 1 | 2 | 2022-03-02T23:29:22 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from english news articles. For more details about the dataset please refer the original paper - [https://arxiv.org/abs/1306.4886](https://arxiv.org/abs/1306.4886)
Original source of the data - []()
## Dataset Structure
###... | 22,956 | [
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midas/ldke3k_medium | 2021-11-19T22:04:10.000Z | [
"region:us"
] | midas | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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midas/oagkx | 2022-02-24T13:16:47.000Z | [
"region:us"
] | midas | \ | \ | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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midas/openkp | 2022-01-09T17:01:43.000Z | [
"region:us"
] | midas | \ | @inproceedings{Xiong2019OpenDW,
title={Open Domain Web Keyphrase Extraction Beyond Language Modeling},
author={Lee Xiong and Chuan Hu and Chenyan Xiong and Daniel Fernando Campos and Arnold Overwijk},
booktitle={EMNLP},
year={2019}
} | 2 | 2 | 2022-03-02T23:29:22 | ## Dataset Summary
Original source - [https://github.com/microsoft/OpenKP](https://github.com/microsoft/OpenKP)
## Dataset Structure
### Data Fields
- **id**: unique identifier of the document.
- **document**: Whitespace separated list of words in the document.
- **doc_bio_tags**: BIO tags for each word in the docu... | 25,136 | [
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midas/pubmed | 2022-03-05T03:59:56.000Z | [
"region:us"
] | midas | \ | @inproceedings{Schutz2008KeyphraseEF,
title={Keyphrase Extraction from Single Documents in the Open Domain Exploiting Linguistic and Statistical Methods},
author={Alexander Schutz},
year={2008}
} | 1 | 2 | 2022-03-02T23:29:22 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific papers. For more details about the dataset please refer the original paper - [https://www.semanticscholar.org/paper/Keyphrase-Extraction-from-Single-Documents-in-the-Schutz/08b75d31a90f206... | 53,771 | [
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midas/semeval2010_ke_tagged | 2021-11-14T23:47:30.000Z | [
"region:us"
] | midas | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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midas/test_ldkp | 2022-01-17T10:36:29.000Z | [
"region:us"
] | midas | This new dataset is designed to solve kp NLP task and is crafted with a lot of care. | author: amardeep | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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midas/www | 2022-02-11T22:49:09.000Z | [
"region:us"
] | midas | \ | @inproceedings{caragea-etal-2014-citation,
title = "Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach",
author = "Caragea, Cornelia and
Bulgarov, Florin Adrian and
Godea, Andreea and
Das Gollapalli, Sujatha",
booktitle = "Proceedings of the 2014 Conferen... | 1 | 2 | 2022-03-02T23:29:22 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from abstract of english scientific articles. For more details about the dataset please refer the original paper - [https://aclanthology.org/D14-1150/](https://aclanthology.org/D14-1150/)
Original source of the data - []()
... | 7,226 | [
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miesnerjacob/github-issues | 2022-02-21T20:13:32.000Z | [
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mirari/sv_corpora_parliament_processed | 2022-02-01T08:42:31.000Z | [
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mishig/sample_images | 2023-05-01T15:34:23.000Z | [
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] | mishig | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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mmcquade11-test/reuters-for-summarization-two | 2021-11-30T16:49:22.000Z | [
"region:us"
] | mmcquade11-test | null | null | 0 | 2 | 2022-03-02T23:29:22 | Reuters model for demo | 22 | [
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mnaylor/evaluating-student-writing | 2021-12-30T18:01:44.000Z | [
"region:us"
] | mnaylor | null | null | 1 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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mnemlaghi/widdd | 2022-10-22T15:02:03.000Z | [
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:en",
"license:apache-2.0",
"arxiv:1810.09164",
"region:us"
] | mnemlaghi | WiDDD stands for WIkiData Disambig with Descriptions. The former dataset comes from [Cetoli & al](https://arxiv.org/pdf/1810.09164.pdf) paper, and is aimed at solving Named Entity Disambiguation. This datasets tries to extract relevant information from entities descriptions only, instead of working with graphs. In ord... | \ | 1 | 2 | 2022-03-02T23:29:22 | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: Wikidisamb Dataset with Descriptions
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- named-entity-disambiguation
task_ids:
- wikidata... | 4,171 | [
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mohamed-illiyas/wav2vec-malayalam-data | 2022-02-24T12:52:39.000Z | [
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mohamed-illiyas/wav2vec2-base-lj-demo-colab | 2022-02-14T15:36:57.000Z | [
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] | mohamed-illiyas | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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morganchen1007/1215 | 2021-12-15T04:04:27.000Z | [
"region:us"
] | morganchen1007 | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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morganchen1007/1216 | 2021-12-16T02:19:28.000Z | [
"region:us"
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morganchen1007/1216_00 | 2021-12-16T02:41:13.000Z | [
"region:us"
] | morganchen1007 | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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morganchen1007/test_1213_00 | 2021-12-15T03:28:15.000Z | [
"region:us"
] | morganchen1007 | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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mostol/wiktionary-ipa | 2022-02-02T17:30:11.000Z | [
"region:us"
] | mostol | null | null | 2 | 2 | 2022-03-02T23:29:22 | Pronunciation information pulled from wiktionary.org. | 53 | [
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moumeneb1/filtered | 2022-01-31T15:52:58.000Z | [
"region:us"
] | moumeneb1 | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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moumeneb1/filtered_300 | 2022-02-01T08:39:57.000Z | [
"region:us"
] | moumeneb1 | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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moumeneb1/fr_lm_dataset | 2022-01-18T16:07:14.000Z | [
"region:us"
] | moumeneb1 | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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moumeneb1/large_vocabulary_dataset | 2022-01-20T19:00:25.000Z | [
"region:us"
] | moumeneb1 | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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moumeneb1/osc_processed_lm | 2022-02-11T17:07:16.000Z | [
"region:us"
] | moumeneb1 | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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moumeneb1/testing | 2022-02-15T14:08:16.000Z | [
"region:us"
] | moumeneb1 | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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