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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
shyam-incedoinc/qa-finetune-dataset | 2023-10-02T10:33:15.000Z | [
"region:us"
] | shyam-incedoinc | null | null | 0 | 85 | 2023-10-02T10:32:57 | 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... |
csolheim/risk_sig_train_multilabel_OPR | 2023-10-04T18:03:10.000Z | [
"region:us"
] | csolheim | null | null | 0 | 85 | 2023-10-04T04:17:12 | 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... |
nlewins/fleurs_ceb_to_en | 2023-10-10T15:44:08.000Z | [
"region:us"
] | nlewins | null | null | 0 | 85 | 2023-10-10T15:39:39 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: int32
- name: transcription
dtype: string
- name: language
dtype: string
- nam... | 947 | [
[
-0.042327880859375,
-0.0260162353515625,
0.018585205078125,
0.03460693359375,
-0.01480865478515625,
-0.0158538818359375,
0.0133514404296875,
-0.02593994140625,
0.05303955078125,
0.0440673828125,
-0.050445556640625,
-0.046173095703125,
-0.052978515625,
-0.016... |
DangFutures/instruct_convo | 2023-10-19T02:47:35.000Z | [
"region:us"
] | DangFutures | null | null | 0 | 85 | 2023-10-19T02:24:21 | Entry not found | 15 | [
[
-0.02142333984375,
-0.014984130859375,
0.057220458984375,
0.0288238525390625,
-0.03509521484375,
0.04656982421875,
0.052520751953125,
0.00506591796875,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060455322265625,
0.03793334... |
alexandrainst/lexdk-open | 2023-10-27T20:22:31.000Z | [
"size_categories:10K<n<100K",
"language:da",
"license:cc0-1.0",
"region:us"
] | alexandrainst | null | null | 1 | 85 | 2023-10-25T09:36:11 | ---
language:
- da
license: cc0-1.0
size_categories:
- 10K<n<100K
pretty_name: Lex.dk Open
dataset_info:
features:
- name: url
dtype: string
- name: title
dtype: string
- name: clarification
dtype: string
- name: authors
sequence: string
- name: date
dtype: string
- name: license
d... | 2,662 | [
[
-0.04632568359375,
-0.0255889892578125,
0.0272216796875,
0.0095672607421875,
-0.031646728515625,
-0.00913238525390625,
-0.01555633544921875,
-0.0241546630859375,
0.037017822265625,
0.0285797119140625,
-0.060089111328125,
-0.0799560546875,
-0.0242919921875,
0... |
opus_dogc | 2022-11-03T16:07:43.000Z | [
"task_categories:translation",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:ca",
"language:es",
"license:cc0-1.0",
"region:us"
] | null | This is a collection of documents from the Official Journal of the Government of Catalonia, in Catalan and Spanish languages, provided by Antoni Oliver Gonzalez from the Universitat Oberta de Catalunya. | @inproceedings{tiedemann-2012-parallel,
title = "Parallel Data, Tools and Interfaces in {OPUS}",
author = {Tiedemann, J{\"o}rg},
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Tur... | 0 | 84 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- ca
- es
license:
- cc0-1.0
multilinguality:
- translation
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- translation
task_ids: []
paperswithcode_id: null
pretty_name: OPUS DOGC
dataset_info:
feature... | 4,454 | [
[
-0.04400634765625,
-0.0237274169921875,
0.024017333984375,
0.036224365234375,
-0.01934814453125,
0.000026106834411621094,
-0.040283203125,
-0.0190887451171875,
0.030548095703125,
0.035125732421875,
-0.051544189453125,
-0.08062744140625,
-0.03985595703125,
0.... |
opus_elhuyar | 2022-11-03T16:07:47.000Z | [
"task_categories:translation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:translation",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:es",
"language:eu",
"license:unknown",
"region:us"
] | null | Dataset provided by the foundation Elhuyar, which is having data in languages Spanish to Basque. | @InProceedings{opus:Elhuyar,
title = {Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)},
authors={J. Tiedemann},
year={2012}
} | 0 | 84 | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
- found
language:
- es
- eu
license:
- unknown
multilinguality:
- translation
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- translation
task_ids: []
paperswithcode_id: null
pretty_name: OpusElhuyar
dataset_info:
features:
- name: tra... | 3,319 | [
[
-0.02923583984375,
-0.041412353515625,
0.0020751953125,
0.0311737060546875,
-0.0228729248046875,
0.0039520263671875,
-0.036224365234375,
-0.0252532958984375,
0.045074462890625,
0.043365478515625,
-0.055267333984375,
-0.07635498046875,
-0.054901123046875,
0.0... |
the_pile_openwebtext2 | 2023-02-24T13:58:16.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_categories:text-classification",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"task_ids:text-scoring",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_c... | null | OpenWebText2 is part of EleutherAi/The Pile dataset and is an enhanced version of the original OpenWebTextCorpus covering all Reddit submissions from 2005 up until April 2020, with further months becoming available after the corresponding PushShift dump files are released. | @article{pile,
title={The {P}ile: An 800GB Dataset of Diverse Text for Language Modeling},
author={Gao, Leo and Biderman, Stella and Black, Sid and Golding, Laurence and Hoppe, Travis and Foster, Charles and Phang, Jason and He, Horace and Thite, Anish and Nabeshima, Noa and Presser, Shawn and Leahy, Connor},
... | 10 | 84 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: OpenWebText2
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
- text-classification
task_ids:
- language-modeling
- maske... | 5,784 | [
[
-0.042449951171875,
-0.0526123046875,
0.0018892288208007812,
0.0192413330078125,
-0.0196533203125,
-0.000015914440155029297,
-0.0225830078125,
-0.044830322265625,
0.0369873046875,
0.032684326171875,
-0.03179931640625,
-0.054931640625,
-0.034820556640625,
0.0... |
0n1xus/pytorrent-standalone | 2021-12-02T06:13:15.000Z | [
"region:us"
] | 0n1xus | pytorrent-standalone is a subset of the PyTorrent dataset, where only functions that does not depend on external libraries
are kept. | @article{Bahrami2021,
author = {Bahrami, Mehdi and Shrikanth, N. C. and Ruangwan, Shade and Liu, Lei and Mizobuchi, Yuji and Fukuyori, Masahiro and Chen, Wei-Peng and Munakata, Kazuki and Menzies, Tim},
year = {2021},
journal = {arXiv},
title = {PyTorrent: A Python Library Corpus for Large-scale Language Models}
} | 0 | 84 | 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... |
Check/region_1 | 2021-09-04T10:57:07.000Z | [
"region:us"
] | Check | null | null | 0 | 84 | 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... |
Nexdata/multi_language_conversation | 2023-08-31T03:08:14.000Z | [
"region:us"
] | Nexdata | null | null | 5 | 84 | 2022-03-02T23:29:22 | ---
YAML tags:
- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
---
# Dataset Card for multi_language_conversation
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
... | 3,438 | [
[
-0.035491943359375,
-0.058929443359375,
-0.004459381103515625,
0.03936767578125,
-0.01082611083984375,
0.01197052001953125,
-0.0307159423828125,
-0.037261962890625,
0.0430908203125,
0.043792724609375,
-0.0509033203125,
-0.06939697265625,
-0.04364013671875,
0... |
DeskDown/ALTDataset | 2022-02-13T17:03:25.000Z | [
"region:us"
] | DeskDown | null | null | 0 | 84 | 2022-03-02T23:29:22 | # Asian Language Treebank (ALT)
This is a **subset** of ALT dataset published by Riza et al.
It included following low-resource languages:
- fil
- vi
- id
- ms
- khm
- th
- hi
- my
It also includes ja and zh languages. | 221 | [
[
-0.0141754150390625,
-0.03790283203125,
-0.006145477294921875,
-0.018402099609375,
-0.0029125213623046875,
0.051910400390625,
0.0035152435302734375,
-0.0306396484375,
0.023651123046875,
0.042816162109375,
-0.053741455078125,
-0.033233642578125,
-0.00804901123046... |
DeskDown/ALTDataset_en-to-fil-vi-id-ms-ja-khm | 2022-01-03T22:31:36.000Z | [
"region:us"
] | DeskDown | null | null | 0 | 84 | 2022-03-02T23:29:22 | __Introduction__
The ALT project aims to advance the state-of-the-art Asian natural language processing (NLP) techniques
through the open collaboration for developing and using ALT. It was first conducted by NICT and UCSY
as described in Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew Finch and Eiichiro Sumita (2016... | 940 | [
[
-0.037078857421875,
-0.029541015625,
0.012451171875,
0.0144500732421875,
-0.0174713134765625,
0.021453857421875,
-0.03564453125,
-0.049957275390625,
0.012939453125,
0.04168701171875,
-0.0186614990234375,
-0.052001953125,
-0.017333984375,
0.06512451171875,
... |
DiFronzo/Human_Activity_Recognition | 2022-02-08T11:18:07.000Z | [
"region:us"
] | DiFronzo | null | null | 1 | 84 | 2022-03-02T23:29:22 | Human Activity Recognition (HAR) using smartphones dataset. Classifying the type of movement amongst five categories:
- WALKING,
- WALKING_UPSTAIRS,
- WALKING_DOWNSTAIRS,
- SITTING,
- STANDING
The experiments have been carried out with a group of 16 volunteers within an age bracket of 19-26 years. Each person performe... | 1,271 | [
[
0.0036296844482421875,
-0.0308685302734375,
0.0070953369140625,
-0.004344940185546875,
-0.0303955078125,
0.0093231201171875,
0.04150390625,
-0.03485107421875,
0.033782958984375,
0.022186279296875,
-0.0313720703125,
-0.048187255859375,
-0.0168609619140625,
-0... |
DoyyingFace/github-embeddings-doy | 2022-01-20T04:19:21.000Z | [
"region:us"
] | DoyyingFace | null | null | 0 | 84 | 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... |
DrishtiSharma/as_opus100_processed | 2022-02-09T17:36:03.000Z | [
"region:us"
] | DrishtiSharma | null | null | 0 | 84 | 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... |
DrishtiSharma/bg_opus100_processed | 2022-02-09T07:33:17.000Z | [
"region:us"
] | DrishtiSharma | null | null | 0 | 84 | 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... |
DrishtiSharma/br_opus100_processed | 2022-02-10T01:50:05.000Z | [
"region:us"
] | DrishtiSharma | null | null | 0 | 84 | 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... |
DrishtiSharma/kk_opus100_processed | 2022-02-09T08:23:36.000Z | [
"region:us"
] | DrishtiSharma | null | null | 0 | 84 | 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... |
DrishtiSharma/sl_opus100_processed | 2022-02-09T03:53:47.000Z | [
"region:us"
] | DrishtiSharma | null | null | 0 | 84 | 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... |
DrishtiSharma/sr_opus100_processed | 2022-02-08T17:32:38.000Z | [
"region:us"
] | DrishtiSharma | null | null | 0 | 84 | 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... |
Firoj/HumAID | 2022-05-18T04:45:03.000Z | [
"region:us"
] | Firoj | The HumAID Twitter dataset consists of several thousands of manually annotated tweets that has been collected during 19 major natural disaster events including earthquakes, hurricanes, wildfires, and floods, which happened from 2016 to 2019 across different parts of the World. The annotations in the provided datasets c... | @inproceedings{humaid2020,
Author = {Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli},
booktitle={Proceedings of the Fifteenth International AAAI Conference on Web and Social Media},
series={ICWSM~'21},
Keywords = {Social Media, Crisis Computing, Tweet Text Classification, Disaster Response},
Title = {HumAID: Human-... | 1 | 84 | 2022-03-02T23:29:22 | # Dataset Card for HumAID
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#da... | 4,276 | [
[
-0.026580810546875,
-0.041107177734375,
-0.00336456298828125,
0.047760009765625,
-0.0188446044921875,
0.038055419921875,
-0.005352020263671875,
-0.0288543701171875,
0.0189971923828125,
0.01096343994140625,
-0.044952392578125,
-0.06353759765625,
-0.043212890625,
... |
GEM/RiSAWOZ | 2022-10-24T15:30:01.000Z | [
"task_categories:conversational",
"annotations_creators:crowd-sourced",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:zh",
"license:cc-by-4.0",
"dialog-response-generation",
"region:us"
] | GEM | RiSAWOZ contains 11.2K human-to-human (H2H) multiturn semantically annotated dialogues, with more than 150K utterances spanning over 12 domains, which is larger than all previous annotated H2H conversational datasets.Both single- and multi-domain dialogues are constructed, accounting for 65% and 35%, respectively. | @inproceedings{quan-etal-2020-risawoz,
title = "{R}i{SAWOZ}: A Large-Scale Multi-Domain {W}izard-of-{O}z Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling",
author = "Quan, Jun and
Zhang, Shian and
Cao, Qian and
Li, Zizhong and
Xiong, Deyi",
booktitle = "... | 5 | 84 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowd-sourced
language_creators:
- unknown
language:
- zh
license:
- cc-by-4.0
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- conversational
task_ids: []
pretty_name: RiSAWOZ
tags:
- dialog-response-generation
---
# Dataset Card for GEM/... | 65,744 | [
[
-0.032928466796875,
-0.06304931640625,
0.0273895263671875,
-0.00031280517578125,
-0.010986328125,
-0.0146942138671875,
-0.02923583984375,
-0.020172119140625,
0.023162841796875,
0.0521240234375,
-0.0611572265625,
-0.06732177734375,
-0.0272216796875,
-0.000926... |
GEM/RotoWire_English-German | 2022-10-24T15:30:03.000Z | [
"task_categories:table-to-text",
"annotations_creators:automatically-created",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"language:de",
"license:cc-by-4.0",
"data-to-text",
"region:us"
] | GEM | Dataset for the WNGT 2019 DGT shared task on "Document-Level Generation and Translation”. | @article{hayashi2019findings,
title={Findings of the Third Workshop on Neural Generation and Translation},
author={Hayashi, Hiroaki and Oda, Yusuke and Birch, Alexandra and Konstas, Ioannis and Finch, Andrew and Luong, Minh-Thang and Neubig, Graham and Sudoh, Katsuhito},
journal={EMNLP-IJCNLP 2019},
pages={1},
... | 1 | 84 | 2022-03-02T23:29:22 | ---
annotations_creators:
- automatically-created
language_creators:
- unknown
language:
- en
- de
license:
- cc-by-4.0
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- table-to-text
task_ids: []
pretty_name: RotoWire_English-German
tags:
- data-to-text
---
# Dataset... | 22,983 | [
[
-0.0198974609375,
-0.05950927734375,
0.0224151611328125,
0.0011882781982421875,
-0.0082855224609375,
0.0022449493408203125,
-0.0242919921875,
-0.022979736328125,
0.0231475830078125,
0.01151275634765625,
-0.054107666015625,
-0.06304931640625,
-0.039031982421875,
... |
GEM/references | 2022-06-23T19:32:57.000Z | [
"region:us"
] | GEM | null | null | 0 | 84 | 2022-03-02T23:29:22 | # GEM References
## What is it?
This repository contains all the reference datasets that are used for running evaluation on the GEM benchmark. Some of these datasets were originally hosted as a [GitHub release](https://github.com/GEM-benchmark/GEM-metrics/releases) on the [`GEM-metrics`](https://github.com/GEM-benchm... | 1,074 | [
[
-0.02886962890625,
-0.025115966796875,
0.0284576416015625,
0.0068206787109375,
-0.01332855224609375,
0.007419586181640625,
-0.004241943359375,
-0.000774383544921875,
0.00801849365234375,
0.04901123046875,
-0.058624267578125,
-0.02532958984375,
-0.016448974609375... |
GEM-submissions/v1-outputs-and-scores | 2022-02-25T11:48:06.000Z | [
"region:us"
] | GEM-submissions | null | null | 0 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.014984130859375,
0.057220458984375,
0.0288238525390625,
-0.03509521484375,
0.04656982421875,
0.052520751953125,
0.00506591796875,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060455322265625,
0.03793334... |
GEM-submissions/lewtun__hugging-face-test-t5-base.outputs.json-36bf2a59__1646052073 | 2022-02-28T12:41:18.000Z | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | GEM-submissions | null | null | 0 | 84 | 2022-03-02T23:29:22 | ---
benchmark: gem
type: prediction
submission_name: Hugging Face test T5-base.outputs.json 36bf2a59
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: Hugging Face test T5-base.outputs.json 36bf2a59
| 220 | [
[
-0.0247955322265625,
-0.037322998046875,
0.027679443359375,
0.036712646484375,
-0.01427459716796875,
0.0284576416015625,
0.024627685546875,
-0.001972198486328125,
0.040985107421875,
0.0251617431640625,
-0.07342529296875,
-0.046783447265625,
-0.0531005859375,
... |
GEM-submissions/lewtun__this-is-a-test__1646052811 | 2022-02-28T12:53:35.000Z | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | GEM-submissions | null | null | 0 | 84 | 2022-03-02T23:29:22 | ---
benchmark: gem
type: prediction
submission_name: This is a test
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: This is a test
| 154 | [
[
-0.0010280609130859375,
-0.063232421875,
0.038299560546875,
0.00849151611328125,
-0.0184173583984375,
0.02978515625,
0.0123443603515625,
0.0229644775390625,
0.03131103515625,
0.0272674560546875,
-0.07513427734375,
-0.00852203369140625,
-0.032379150390625,
0.... |
GEM-submissions/lewtun__this-is-a-test__1646230987 | 2022-03-02T14:23:10.000Z | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | GEM-submissions | null | null | 0 | 84 | 2022-03-02T23:29:22 | ---
benchmark: gem
type: prediction
submission_name: This is a test
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: This is a test
| 154 | [
[
-0.0010280609130859375,
-0.063232421875,
0.038299560546875,
0.00849151611328125,
-0.0184173583984375,
0.02978515625,
0.0123443603515625,
0.0229644775390625,
0.03131103515625,
0.0272674560546875,
-0.07513427734375,
-0.00852203369140625,
-0.032379150390625,
0.... |
GV05/shlomit_speech | 2022-02-03T18:44:14.000Z | [
"region:us"
] | GV05 | null | null | 0 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.0213775634765625,
-0.01497650146484375,
0.05718994140625,
0.02880859375,
-0.0350341796875,
0.046478271484375,
0.052490234375,
0.00507354736328125,
0.051361083984375,
0.0170135498046875,
-0.052093505859375,
-0.01497650146484375,
-0.0604248046875,
0.0379028... |
Graphcore/vqa-lxmert | 2022-10-25T08:59:34.000Z | [
"language:en",
"license:cc-by-4.0",
"region:us"
] | Graphcore | VQA is a new dataset containing open-ended questions about images.
These questions require an understanding of vision, language and commonsense knowledge to answer. | @inproceedings{antol2015vqa,
title={Vqa: Visual question answering},
author={Antol, Stanislaw and Agrawal, Aishwarya and Lu, Jiasen and Mitchell, Margaret and Batra, Dhruv and Zitnick, C Lawrence and Parikh, Devi},
booktitle={Proceedings of the IEEE international conference on computer vision},
pages={2425--243... | 0 | 84 | 2022-03-02T23:29:22 | ---
language:
- en
license:
- cc-by-4.0
---
| 45 | [
[
-0.009002685546875,
-0.01300048828125,
0.045654296875,
0.03460693359375,
-0.0135040283203125,
0.0165252685546875,
0.025238037109375,
0.003536224365234375,
0.04052734375,
0.051788330078125,
-0.0455322265625,
-0.016632080078125,
-0.049652099609375,
-0.00334548... |
GroNLP/ik-nlp-22_pestyle | 2022-10-25T09:06:27.000Z | [
"task_categories:translation",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"language:it",
"license:other",
"region:us"
] | GroNLP | This dataset contains a sample of sentences taken from the FLORES-101 dataset that were either translated
from scratch or post-edited from an existing automatic translation by three human translators.
Translation were performed for the English-Italian language pair, and translators' behavioral data
(keystrokes, paus... | No citation information available. | 0 | 84 | 2022-03-02T23:29:22 | ---
annotations_creators:
- machine-generated
- expert-generated
language_creators:
- found
language:
- en
- it
license:
- other
multilinguality:
- translation
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- translation
pretty_name: iknlp22-pestyle
---
# Dataset Card for IK-NLP-22 Project 1:... | 10,748 | [
[
-0.0301513671875,
-0.056488037109375,
0.02703857421875,
0.0261383056640625,
-0.0313720703125,
-0.0108184814453125,
-0.037750244140625,
-0.028961181640625,
0.0255126953125,
0.03515625,
-0.052947998046875,
-0.07037353515625,
-0.03564453125,
0.032379150390625,
... |
HarrisDePerceptron/sv_corpora_parliament_processed | 2022-02-06T22:08:17.000Z | [
"region:us"
] | HarrisDePerceptron | null | null | 0 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.0213775634765625,
-0.01497650146484375,
0.05718994140625,
0.02880859375,
-0.0350341796875,
0.046478271484375,
0.052490234375,
0.00507354736328125,
0.051361083984375,
0.0170135498046875,
-0.052093505859375,
-0.01497650146484375,
-0.0604248046875,
0.0379028... |
HarrisDePerceptron/ur_corpora_pib | 2022-02-08T10:30:32.000Z | [
"region:us"
] | HarrisDePerceptron | null | null | 0 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.0213775634765625,
-0.01497650146484375,
0.05718994140625,
0.02880859375,
-0.0350341796875,
0.046478271484375,
0.052490234375,
0.00507354736328125,
0.051361083984375,
0.0170135498046875,
-0.052093505859375,
-0.01497650146484375,
-0.0604248046875,
0.0379028... |
Jeska/autonlp-data-vaccinfaq | 2021-10-19T12:06:57.000Z | [
"task_categories:text-classification",
"region:us"
] | Jeska | null | null | 0 | 84 | 2022-03-02T23:29:22 | ---
task_categories:
- text-classification
---
# AutoNLP Dataset for project: vaccinfaq
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#dat... | 6,028 | [
[
-0.0330810546875,
-0.033782958984375,
0.007415771484375,
0.00939178466796875,
-0.0032806396484375,
0.002227783203125,
0.01302337646484375,
-0.0164947509765625,
0.022064208984375,
0.00960540771484375,
-0.03948974609375,
-0.047882080078125,
-0.02093505859375,
... |
Khanoooo/autonlp-data-Corona | 2021-08-08T19:59:14.000Z | [
"region:us"
] | Khanoooo | null | null | 0 | 84 | 2022-03-02T23:29:22 | It's all about Corona | 21 | [
[
-0.017120361328125,
-0.0531005859375,
0.06939697265625,
0.0567626953125,
0.0135650634765625,
0.0537109375,
0.01253509521484375,
-0.01422882080078125,
0.06829833984375,
0.0261077880859375,
0.004070281982421875,
-0.025787353515625,
-0.0070953369140625,
-0.0158... |
MickyMike/large_c_corpus | 2021-09-26T21:20:15.000Z | [
"region:us"
] | MickyMike | null | null | 0 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.014984130859375,
0.057220458984375,
0.0288238525390625,
-0.03509521484375,
0.04656982421875,
0.052520751953125,
0.00506591796875,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060455322265625,
0.03793334... |
NishinoTSK/leishmaniav1 | 2022-01-14T04:09:05.000Z | [
"region:us"
] | NishinoTSK | null | null | 0 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.02142333984375,
-0.014984130859375,
0.057220458984375,
0.0288238525390625,
-0.03509521484375,
0.04656982421875,
0.052520751953125,
0.00506591796875,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060455322265625,
0.03793334... |
PlanTL-GOB-ES/pharmaconer | 2022-11-18T12:06:36.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"language:es",
"license:cc-by-4.0",
"biomedical",
"clinical",
"spanish",
"region:us"
] | PlanTL-GOB-ES | PharmaCoNER: Pharmacological Substances, Compounds and Proteins Named Entity Recognition track
This dataset is designed for the PharmaCoNER task, sponsored by Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
It is a manually classified collection of clinical case studies derived from the Spanish Clinical Ca... | @inproceedings{,
title = "PharmaCoNER: Pharmacological Substances, Compounds and proteins Named Entity Recognition track",
author = "Gonzalez-Agirre, Aitor and
Marimon, Montserrat and
Intxaurrondo, Ander and
Rabal, Obdulia and
Villegas, Marta and
Krallinger, Martin",
bookt... | 4 | 84 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language:
- es
tags:
- biomedical
- clinical
- spanish
multilinguality:
- monolingual
task_categories:
- token-classification
task_ids:
- named-entity-recognition
license:
- cc-by-4.0
---
# PharmaCoNER
## Dataset Description
Manually classified collection of Spanish clini... | 6,472 | [
[
-0.0216827392578125,
-0.032806396484375,
0.0401611328125,
0.0241546630859375,
-0.0152587890625,
-0.003520965576171875,
-0.01934814453125,
-0.03582763671875,
0.04571533203125,
0.04229736328125,
-0.029632568359375,
-0.0748291015625,
-0.0635986328125,
0.0409545... |
RohanAiLab/persian_daily_news | 2022-10-21T16:13:09.000Z | [
"source_datasets:original",
"language:fa",
"region:us"
] | RohanAiLab | Persian Daily News dataset is a collection of 2 million news articles with the headline of each news article.
This dataset contains news articles and their summaries for the last 10 years.
This dataset is provided by Rohan AI lab for research purposes. | https://saied71.github.io/RohanAiLab/,
author={Saied Alimoradi},
year={2021}
} | 0 | 84 | 2022-03-02T23:29:22 | ---
pretty_name: Persian Daily News
language:
- fa
source_datasets:
- original
task_categories:
- Summarization
- sequence-modeling
---
# Persian Daily News
# Dataset Summary
persian_daily_news is a collection of 2 million of unique news articles with the headline for each article. dataset can be used in abstractiv... | 1,751 | [
[
-0.03369140625,
-0.05084228515625,
0.03350830078125,
0.0273895263671875,
-0.043426513671875,
-0.0104522705078125,
-0.01171112060546875,
-0.0196685791015625,
0.01485443115234375,
0.040283203125,
-0.0274200439453125,
-0.05438232421875,
-0.042877197265625,
0.02... |
RuudVelo/nl_corpora_parliament_processed | 2022-01-27T13:47:05.000Z | [
"region:us"
] | RuudVelo | null | null | 0 | 84 | 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... |
Sam2021/Arguement_Mining_CL2017 | 2021-08-30T23:11:05.000Z | [
"region:us"
] | Sam2021 | tokens along with chunk id. IOB1 format Begining of arguement denoted by B-ARG,inside arguement
denoted by I-ARG, other chunks are O
Orginial train,test split as used by the paper is provided | @article{stab2017parsing,
title={Parsing argumentation structures in persuasive essays},
author={Stab, Christian and Gurevych, Iryna},
journal={Computational Linguistics},
volume={43},
number={3},
pages={619--659},
year={2017},
publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journa... | 1 | 84 | 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... |
SaulLu/Natural_Questions_HTML | 2021-08-27T18:58:58.000Z | [
"region:us"
] | SaulLu | null | null | 0 | 84 | 2022-03-02T23:29:22 | This is a dataset extracted from the Natural Questions dataset
This dataset is currently under development | 107 | [
[
-0.040435791015625,
-0.0655517578125,
-0.00865936279296875,
-0.004634857177734375,
-0.014007568359375,
0.0259246826171875,
0.00417327880859375,
-0.035797119140625,
0.0239105224609375,
0.0909423828125,
-0.0753173828125,
-0.0017194747924804688,
-0.0132217407226562... |
SaulLu/Natural_Questions_HTML_reduced_all | 2021-10-04T15:25:50.000Z | [
"region:us"
] | SaulLu | null | null | 1 | 84 | 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... |
SebastianS/github-issues | 2022-10-25T09:06:38.000Z | [
"task_categories:text-classification",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:unknown",
"language:en-US",
"region:us"
] | SebastianS | null | null | 0 | 84 | 2022-03-02T23:29:22 | ---
annotations_creators: []
language_creators:
- crowdsourced
language:
- en-US
license: []
multilinguality:
- monolingual
pretty_name: github-issues
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids: []
---
# Dataset Card for GitHub Issues
## Dataset Description
this was ... | 371 | [
[
-0.023651123046875,
-0.037506103515625,
-0.0038204193115234375,
-0.0005636215209960938,
-0.01094818115234375,
0.0128936767578125,
0.0026798248291015625,
-0.00202178955078125,
0.0543212890625,
0.0266571044921875,
-0.0565185546875,
-0.056610107421875,
-0.014213562... |
Shushant/nepali | 2021-12-21T05:06:24.000Z | [
"region:us"
] | Shushant | null | null | 0 | 84 | 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... |
Smiling/webnovels-en | 2021-11-04T05:51:23.000Z | [
"region:us"
] | Smiling | null | null | 0 | 84 | 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... |
SocialGrep/one-million-reddit-confessions | 2022-07-01T18:48:52.000Z | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | SocialGrep | null | null | 2 | 84 | 2022-03-02T23:29:22 | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for one-million-reddit-confessions
## Table of Contents
- [Dataset Description](#dat... | 3,518 | [
[
-0.048065185546875,
-0.05859375,
0.0223236083984375,
0.034088134765625,
-0.03082275390625,
0.0013723373413085938,
-0.015167236328125,
-0.0194244384765625,
0.053680419921875,
0.04559326171875,
-0.08203125,
-0.07574462890625,
-0.0545654296875,
0.02693176269531... |
SuperAI2-Machima/Yord_ThaiQA_LST20 | 2022-02-25T06:31:36.000Z | [
"region:us"
] | SuperAI2-Machima | null | null | 0 | 84 | 2022-03-02T23:29:22 | พี่ยอด และน้อง ๆ ในทีมบ้านมัณิชมา ร่วมกันสร้างชุดข้อมูล คำถาม - คำตอบ จากชุดข้อมูล LST-20
โดยใช้ POS และ NER เพื่อมาสร้างชุดประโยคคำถาม
ได้ข้อมูลคำถาม - ตอบ ทั้งหมดประมาณ 1,000 แถว
| 184 | [
[
-0.01702880859375,
-0.0301666259765625,
-0.00995635986328125,
0.06756591796875,
-0.07366943359375,
-0.0207977294921875,
0.0001437664031982422,
0.009124755859375,
0.046173095703125,
0.04241943359375,
-0.0186614990234375,
-0.0272369384765625,
-0.043212890625,
... |
TRoboto/names | 2022-01-29T16:33:25.000Z | [
"license:cc-by-4.0",
"region:us"
] | TRoboto | List of Arabic first names with meaning and origin of most names | @software{Al-Fetyani_Maha_Processing_Library_2021,
author = {Al-Fetyani, Mohammad},
month = {11},
title = {{Maha Processing Library}},
url = {https://github.com/TRoboto/Maha},
year = {2021}
} | 1 | 84 | 2022-03-02T23:29:22 | ---
project: Maha
license: cc-by-4.0
---
## Dataset Summary
It includes list of Arabic names with meaning and origin of most names
| 141 | [
[
-0.0264892578125,
-0.0010585784912109375,
-0.016387939453125,
-0.0012979507446289062,
-0.0296478271484375,
0.00760650634765625,
0.0137939453125,
-0.01617431640625,
0.004253387451171875,
0.013427734375,
-0.052093505859375,
-0.07220458984375,
-0.1041259765625,
... |
Tevatron/wikipedia-squad | 2021-09-23T02:25:31.000Z | [
"region:us"
] | Tevatron | null | @inproceedings{karpukhin-etal-2020-dense,
title = "Dense Passage Retrieval for Open-Domain Question Answering",
author = "Karpukhin, Vladimir and Oguz, Barlas and Min, Sewon and Lewis, Patrick and Wu, Ledell and Edunov,
Sergey and Chen, Danqi and Yih, Wen-tau",
booktitle = "Proceedings of the 2020 Conf... | 1 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.0214080810546875,
-0.01497650146484375,
0.057098388671875,
0.028839111328125,
-0.0350341796875,
0.046478271484375,
0.052520751953125,
0.005046844482421875,
0.051361083984375,
0.016998291015625,
-0.05206298828125,
-0.01497650146484375,
-0.06036376953125,
0... |
Tevatron/wikipedia-wq-corpus | 2021-09-23T01:42:47.000Z | [
"region:us"
] | Tevatron | null | @inproceedings{karpukhin-etal-2020-dense,
title = "Dense Passage Retrieval for Open-Domain Question Answering",
author = "Karpukhin, Vladimir and Oguz, Barlas and Min, Sewon and Lewis, Patrick and Wu, Ledell and Edunov, Sergey and Chen, Danqi and Yih, Wen-tau",
booktitle = "Proceedings of the 2020 Conferenc... | 0 | 84 | 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... |
Tevatron/wikipedia-wq | 2021-09-23T01:44:07.000Z | [
"region:us"
] | Tevatron | null | @inproceedings{karpukhin-etal-2020-dense,
title = "Dense Passage Retrieval for Open-Domain Question Answering",
author = "Karpukhin, Vladimir and Oguz, Barlas and Min, Sewon and Lewis, Patrick and Wu, Ledell and Edunov,
Sergey and Chen, Danqi and Yih, Wen-tau",
booktitle = "Proceedings of the 2020 Conf... | 0 | 84 | 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... |
TurkuNLP/register_oscar | 2023-09-25T11:30:50.000Z | [
"region:us"
] | TurkuNLP | null | null | 5 | 84 | 2022-03-02T23:29:22 | # Dataset Card for register_oscar
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fie... | 3,538 | [
[
-0.041290283203125,
-0.01311492919921875,
0.00176239013671875,
0.010345458984375,
-0.02093505859375,
0.0201263427734375,
-0.02099609375,
-0.050201416015625,
0.040740966796875,
0.017791748046875,
-0.0211639404296875,
-0.055908203125,
-0.048126220703125,
0.023... |
VJGamer/test | 2021-10-24T18:06:25.000Z | [
"region:us"
] | VJGamer | null | null | 0 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.0214080810546875,
-0.01497650146484375,
0.057098388671875,
0.028839111328125,
-0.0350341796875,
0.046478271484375,
0.052520751953125,
0.005046844482421875,
0.051361083984375,
0.016998291015625,
-0.05206298828125,
-0.01497650146484375,
-0.06036376953125,
0... |
WillFerreiraSantos/halos | 2022-01-13T03:25:41.000Z | [
"region:us"
] | WillFerreiraSantos | null | null | 0 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.0214080810546875,
-0.01497650146484375,
0.057098388671875,
0.028839111328125,
-0.0350341796875,
0.046478271484375,
0.052520751953125,
0.005046844482421875,
0.051361083984375,
0.016998291015625,
-0.05206298828125,
-0.01497650146484375,
-0.06036376953125,
0... |
Xenova/sponsorblock-768 | 2022-02-08T20:36:56.000Z | [
"region:us"
] | Xenova | null | null | 1 | 84 | 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... |
Xinghua/test | 2021-10-28T07:47:33.000Z | [
"region:us"
] | Xinghua | null | null | 0 | 84 | 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... |
Yatoro/github-issues | 2021-11-19T01:26:49.000Z | [
"region:us"
] | Yatoro | null | null | 0 | 84 | 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... |
abhishek/autonlp-data-imdb_eval | 2021-04-28T14:46:54.000Z | [
"region:us"
] | abhishek | null | null | 0 | 84 | 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... |
abhishek/autonlp-data-prodigy-10 | 2022-10-25T09:07:06.000Z | [
"language:en",
"region:us"
] | abhishek | null | null | 0 | 84 | 2022-03-02T23:29:22 | ---
language:
- en
---
# AutoNLP Dataset for project: prodigy-10
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset De... | 22,513 | [
[
-0.041778564453125,
-0.0165252685546875,
0.032073974609375,
0.0295562744140625,
-0.0286712646484375,
0.027099609375,
0.00997161865234375,
-0.01015472412109375,
0.053924560546875,
0.048248291015625,
-0.039215087890625,
-0.03753662109375,
-0.0391845703125,
0.0... |
abidlabs/crowdsourced-speech | 2022-01-21T15:42:59.000Z | [
"region:us"
] | abidlabs | null | null | 0 | 84 | 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... |
abidlabs/test-translation-dataset | 2022-02-01T23:15:18.000Z | [
"region:us"
] | abidlabs | null | null | 0 | 84 | 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... |
albertvillanova/datasets-tests-compression | 2021-08-16T13:22:32.000Z | [
"region:us"
] | albertvillanova | null | null | 0 | 84 | 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... |
alittleie/mis_238 | 2021-10-03T02:05:08.000Z | [
"region:us"
] | alittleie | null | null | 0 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.0213775634765625,
-0.01497650146484375,
0.05718994140625,
0.02880859375,
-0.0350341796875,
0.046478271484375,
0.052490234375,
0.00507354736328125,
0.051361083984375,
0.0170135498046875,
-0.052093505859375,
-0.01497650146484375,
-0.0604248046875,
0.0379028... |
alperbayram/HaberTweetlerininDuyguAnaliziVeSiniflandirma | 2022-02-27T11:56:20.000Z | [
"region:us"
] | alperbayram | null | null | 0 | 84 | 2022-03-02T23:29:22 | # Dataset Card for [Haber Tweetlerinin Duygu Analizi Ve Siniflandirma]
Github repo
[repo](https://github.com/alperbayram/Duygu_Analizi_ve_Metin_Siniflandirma)
## Dataset Description
Twitter verileri üzerinde Türkçe Bert modelleri kullanarak yapılan duygu analizi ve metin sınıflandırma işlemleri ve görselleştirilmesi. ... | 1,142 | [
[
-0.03424072265625,
-0.036529541015625,
0.01165771484375,
0.0119781494140625,
-0.0343017578125,
-0.0156402587890625,
-0.01456451416015625,
-0.00727081298828125,
0.034820556640625,
0.041259765625,
-0.056488037109375,
-0.07073974609375,
-0.03240966796875,
-0.00... |
alperbayram/TwitterDuygu | 2021-11-19T21:00:07.000Z | [
"region:us"
] | alperbayram | null | null | 0 | 84 | 2022-03-02T23:29:22 |
language:
- tr
# negatif 54%
# pozitif 46%
| 45 | [
[
-0.039093017578125,
-0.04791259765625,
0.00778961181640625,
0.04754638671875,
-0.04364013671875,
0.0004088878631591797,
-0.004665374755859375,
0.0160369873046875,
0.04180908203125,
0.0158538818359375,
-0.035400390625,
-0.07232666015625,
-0.053436279296875,
0... |
anechaev/ru_med_history | 2022-02-12T08:51:53.000Z | [
"region:us"
] | anechaev | null | null | 1 | 84 | 2022-03-02T23:29:22 | # Medical Histories Ru-ru
Medical Histories from Russian medical textbooks.
A text dataset with medical histories.
All dates were masked into <DATE>. | 152 | [
[
0.03424072265625,
-0.041839599609375,
0.035430908203125,
-0.006134033203125,
-0.029510498046875,
-0.01396942138671875,
0.0284576416015625,
-0.0242919921875,
0.04791259765625,
0.0592041015625,
-0.05853271484375,
-0.049346923828125,
-0.027099609375,
-0.0099182... |
benjaminbeilharz/empathetic_dialogues_for_lm | 2022-02-23T15:49:12.000Z | [
"region:us"
] | benjaminbeilharz | null | null | 1 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.0213775634765625,
-0.01497650146484375,
0.05718994140625,
0.02880859375,
-0.0350341796875,
0.046478271484375,
0.052490234375,
0.00507354736328125,
0.051361083984375,
0.0170135498046875,
-0.052093505859375,
-0.01497650146484375,
-0.0604248046875,
0.0379028... |
bobbydylan/top2k | 2022-02-01T02:59:04.000Z | [
"region:us"
] | bobbydylan | null | null | 0 | 84 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
-0.0213470458984375,
-0.01496124267578125,
0.05718994140625,
0.028839111328125,
-0.0350341796875,
0.0465087890625,
0.052490234375,
0.005046844482421875,
0.051361083984375,
0.0170135498046875,
-0.05206298828125,
-0.01494598388671875,
-0.0604248046875,
0.03790... |
brunodorneles/ner | 2021-11-03T13:14:46.000Z | [
"region:us"
] | brunodorneles | null | null | 0 | 84 | 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... |
csikasote/bemba_train_dev_sets_processed | 2022-02-08T10:21:51.000Z | [
"region:us"
] | csikasote | null | null | 0 | 84 | 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... |
csikasote/bemba_trainset_processed | 2022-02-07T17:16:12.000Z | [
"region:us"
] | csikasote | null | null | 0 | 84 | 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... |
cstrathe435/Task2Dial | 2022-02-03T12:55:28.000Z | [
"region:us"
] | cstrathe435 | null | null | 0 | 84 | 2022-03-02T23:29:22 | # Dataset Card for Task2Dial
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](... | 10,356 | [
[
-0.01065826416015625,
-0.056549072265625,
0.0159912109375,
0.004917144775390625,
-0.0034637451171875,
-0.00838470458984375,
-0.011077880859375,
-0.03131103515625,
0.0082855224609375,
0.06524658203125,
-0.057403564453125,
-0.03662109375,
-0.057464599609375,
0... |
damlab/HIV_PI | 2022-03-09T19:48:01.000Z | [
"license:mit",
"region:us"
] | damlab | null | null | 0 | 84 | 2022-03-02T23:29:22 | ---
license: mit
---
# Dataset Description
## Dataset Summary
This dataset was derived from the Stanford HIV Genotype-Phenotype database and contains 1,733 HIV protease sequences. A
pproximately half of the sequences are resistant to at least one antiretroviral therapeutic (ART).
Supported Tasks and... | 2,052 | [
[
-0.0054779052734375,
-0.03594970703125,
0.006870269775390625,
0.01039886474609375,
0.004772186279296875,
-0.003376007080078125,
0.0280609130859375,
-0.0101165771484375,
0.02667236328125,
0.04034423828125,
-0.059844970703125,
-0.0391845703125,
-0.05712890625,
... |
davanstrien/crowdsourced-keywords | 2022-03-01T14:07:11.000Z | [
"region:us"
] | davanstrien | null | null | 0 | 84 | 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... |
dvilasuero/ag_news_error_analysis | 2021-12-29T17:23:31.000Z | [
"region:us"
] | dvilasuero | null | null | 0 | 84 | 2022-03-02T23:29:22 | This is a dataset created for testing purposes in the context of this tutorial: https://rubrix.readthedocs.io/en/master/tutorials/08-error_analysis_using_loss.html
You can find more details on section 5. of the tutorial and the corresponding dataset with corrected labels at https://huggingface.co/datasets/Recognai/ag_... | 343 | [
[
-0.017578125,
-0.044036865234375,
-0.00916290283203125,
0.01861572265625,
0.01169586181640625,
0.000044286251068115234,
0.0125885009765625,
0.019439697265625,
0.00350189208984375,
0.0264434814453125,
-0.07470703125,
-0.031158447265625,
-0.031097412109375,
0.... |
ebrigham/multi_sentiment | 2022-02-18T08:03:39.000Z | [
"region:us"
] | ebrigham | null | null | 0 | 84 | 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... |
edbeeching/github-issues | 2022-02-11T14:20:42.000Z | [
"region:us"
] | edbeeching | null | null | 0 | 84 | 2022-03-02T23:29:22 | annotations_creators:
- other
language_creators:
- crowdsourced
languages:
- en-US
licenses:
- other-my-license
multilinguality:
- monolingual
pretty_name: HuggingFace Github Issues
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-classification
- text-retrieval
task_ids:
- multi-class-cla... | 381 | [
[
-0.035614013671875,
-0.0290374755859375,
0.018768310546875,
0.040374755859375,
-0.01470184326171875,
0.0305938720703125,
-0.0163726806640625,
-0.047607421875,
0.05755615234375,
0.047454833984375,
-0.04156494140625,
-0.03228759765625,
-0.05859375,
0.039337158... |
elonmuskceo/persistent-space-dataset | 2022-09-03T13:31:38.000Z | [
"region:us"
] | elonmuskceo | null | null | 0 | 84 | 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... |
erwanlc/cocktails_recipe | 2022-10-25T09:17:00.000Z | [
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:2M<n<3M",
"language:en",
"license:other",
"region:us"
] | erwanlc | null | null | 3 | 84 | 2022-03-02T23:29:22 | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 2M<n<3M
source_datasets: []
task_categories: []
task_ids: []
pretty_name: cocktails_recipe
language_bcp47:
- en
- en-US
---
# Dataset Card for cocktails... | 1,616 | [
[
-0.0165252685546875,
-0.03692626953125,
0.00394439697265625,
0.023406982421875,
-0.035125732421875,
0.0208740234375,
0.01137542724609375,
-0.00849151611328125,
0.06109619140625,
0.031890869140625,
-0.055267333984375,
-0.08160400390625,
-0.033203125,
-0.00277... |
flax-community/conceptual-12m-multilingual-marian-es | 2021-07-21T19:35:31.000Z | [
"region:us"
] | flax-community | null | null | 0 | 84 | 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... |
flax-community/conceptual-12m-multilingual-marian | 2021-07-20T19:16:40.000Z | [
"region:us"
] | flax-community | null | null | 0 | 84 | 2022-03-02T23:29:22 | This dataset is created from subset of [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/). The original dataset has 12M captions but this dataset has around 10M image, caption pairs in different languages with 2.5M unique images. This dataset has captions translated from English to Spanish, Germa... | 671 | [
[
-0.0232696533203125,
-0.0299530029296875,
0.026611328125,
0.0423583984375,
-0.0438232421875,
-0.00148773193359375,
-0.01392364501953125,
-0.0243377685546875,
0.0300445556640625,
0.046722412109375,
-0.045196533203125,
-0.046966552734375,
-0.054840087890625,
0... |
flax-community/conceptual-captions-12 | 2021-07-19T12:40:00.000Z | [
"region:us"
] | flax-community | null | null | 1 | 84 | 2022-03-02T23:29:22 | This file contains English captions from Conceptual 12M dataset by Google. Since we don't own the images, we have provided the link to images, name of downloaded file, and caption for that image in the TSV file.
We would like to thank [Luke Melas](https://github.com/lukemelas) for helping us get the cleaned CC-12M da... | 339 | [
[
-0.004119873046875,
-0.0284881591796875,
0.03985595703125,
0.0110321044921875,
-0.04888916015625,
0.03326416015625,
-0.01519775390625,
-0.02069091796875,
0.033050537109375,
0.072021484375,
-0.06927490234375,
-0.047210693359375,
-0.03826904296875,
0.022994995... |
flax-community/dummy-oscar-als-32 | 2021-07-12T13:23:59.000Z | [
"region:us"
] | flax-community | null | null | 0 | 84 | 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... |
flax-community/german-common-voice-processed | 2021-07-13T18:09:18.000Z | [
"region:us"
] | flax-community | null | null | 1 | 84 | 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... |
flax-community/multilingual-vqa | 2021-07-21T06:27:40.000Z | [
"region:us"
] | flax-community | null | null | 0 | 84 | 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... |
fvillena/cantemist | 2021-06-03T22:50:38.000Z | [
"region:us"
] | fvillena | \ | \ | 0 | 84 | 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... |
jakeazcona/short-text-labeled-emotion-classification | 2021-12-05T18:38:57.000Z | [
"region:us"
] | jakeazcona | null | null | 3 | 84 | 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... |
ai4bharat/IndicQuestionGeneration | 2022-10-13T06:08:25.000Z | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:98K<n<98K",
"source_datasets:we start with the SQuAD question answering dataset repurposed to serve as a question generation dataset. We translate this dataset into different Indic languages.",
... | ai4bharat | This is the Question Generation dataset released as part of IndicNLG Suite. Each
example has five fields: id, squad_id, answer, context and question. We create this dataset in eleven
languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. This is a translated data. The examples in each language are exactly si... | @inproceedings{Kumar2022IndicNLGSM,
title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
year={2022},
u... | 1 | 84 | 2022-03-10T09:59:41 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- as
- bn
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
license:
- cc-by-nc-4.0
multilinguality:
- multilingual
pretty_name: IndicQuestionGeneration
size_categories:
- 98K<n<98K
source_datasets:
- we start with the SQuAD question answering da... | 6,319 | [
[
-0.037750244140625,
-0.04351806640625,
-0.0092620849609375,
0.0284576416015625,
-0.01548004150390625,
0.0196533203125,
-0.0372314453125,
-0.031951904296875,
0.029388427734375,
0.018096923828125,
-0.0643310546875,
-0.055938720703125,
-0.0386962890625,
0.03704... |
hackathon-pln-es/Axolotl-Spanish-Nahuatl | 2023-04-13T08:51:58.000Z | [
"task_categories:text2text-generation",
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:translation",
"size_categories:unknown",
"source_datasets:original",
"language:es",
"license:mpl-2.0",
"conditional-text-generation... | hackathon-pln-es | null | null | 8 | 84 | 2022-03-30T15:52:03 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- es
license:
- mpl-2.0
multilinguality:
- translation
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text2text-generation
- translation
task_ids: []
pretty_name: "Axolotl Spanish-Nahuatl parallel cor... | 2,767 | [
[
-0.03131103515625,
-0.0253143310546875,
0.02325439453125,
0.0439453125,
-0.03424072265625,
0.01438140869140625,
-0.0124664306640625,
-0.041717529296875,
0.0213470458984375,
0.0282745361328125,
-0.04229736328125,
-0.06756591796875,
-0.042022705078125,
0.04592... |
bond005/sberdevices_golos_100h_farfield | 2022-10-27T04:23:04.000Z | [
"task_categories:automatic-speech-recognition",
"task_categories:audio-classification",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100k",
"source_datasets:extended",
"language:... | bond005 | null | null | 0 | 84 | 2022-10-26T05:04:50 | ---
pretty_name: Golos
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
- expert-generated
language:
- ru
license:
- other
multilinguality:
- monolingual
paperswithcode_id: golos
size_categories:
- 10K<n<100k
source_datasets:
- extended
task_categories:
- automatic-speech-recognition
- audio-c... | 6,637 | [
[
-0.0199737548828125,
-0.0296478271484375,
-0.00490570068359375,
0.0187835693359375,
-0.02276611328125,
-0.00494384765625,
-0.032318115234375,
-0.0293731689453125,
0.031524658203125,
0.0252685546875,
-0.055877685546875,
-0.051116943359375,
-0.04180908203125,
... |
sjyhne/mapai_dataset | 2022-12-16T12:16:55.000Z | [
"license:cc-by-4.0",
"region:us"
] | sjyhne | null | null | 0 | 84 | 2022-12-14T09:38:56 | ---
license: cc-by-4.0
dataset_info:
features:
- name: image
dtype: image
- name: lidar
dtype: image
- name: mask
dtype: image
- name: filename
dtype: string
splits:
- name: validation
num_bytes: 2192377881.0
num_examples: 1500
- name: task1_test
num_bytes: 1893839365.136
... | 3,846 | [
[
-0.036468505859375,
-0.050567626953125,
0.005207061767578125,
-0.002048492431640625,
-0.020965576171875,
-0.0194854736328125,
-0.0031280517578125,
-0.0322265625,
-0.005481719970703125,
0.0129241943359375,
-0.0155181884765625,
-0.06475830078125,
-0.04165649414062... |
keremberke/clash-of-clans-object-detection | 2023-01-29T12:38:03.000Z | [
"task_categories:object-detection",
"roboflow",
"roboflow2huggingface",
"Gaming",
"region:us"
] | keremberke | null | @misc{ clash-of-clans-vop4y_dataset,
title = { Clash of Clans Dataset },
type = { Open Source Dataset },
author = { Find This Base },
howpublished = { \\url{ https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y } },
url = { https://universe.roboflow.com/find-this-base/clash-of-clans-vop... | 2 | 84 | 2022-12-30T05:14:59 | ---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
- Gaming
---
<div align="center">
<img width="640" alt="keremberke/clash-of-clans-object-detection" src="https://huggingface.co/datasets/keremberke/clash-of-clans-object-detection/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
... | 1,987 | [
[
-0.043853759765625,
-0.0287322998046875,
0.0009722709655761719,
0.0005941390991210938,
-0.017333984375,
0.01348876953125,
0.003452301025390625,
-0.036468505859375,
0.031402587890625,
0.0163116455078125,
-0.046142578125,
-0.05859375,
-0.045928955078125,
0.015... |
keremberke/garbage-object-detection | 2023-01-05T11:30:08.000Z | [
"task_categories:object-detection",
"roboflow",
"region:us"
] | keremberke | null | @misc{ garbage-classification-3_dataset,
title = { GARBAGE CLASSIFICATION 3 Dataset },
type = { Open Source Dataset },
author = { Material Identification },
howpublished = { \\url{ https://universe.roboflow.com/material-identification/garbage-classification-3 } },
url = { https://universe.roboflow.c... | 4 | 84 | 2023-01-01T09:38:12 | ---
task_categories:
- object-detection
tags:
- roboflow
---
### Roboflow Dataset Page
[https://universe.roboflow.com/material-identification/garbage-classification-3/dataset/2](https://universe.roboflow.com/material-identification/garbage-classification-3/dataset/2?ref=roboflow2huggingface)
### Dataset Labels
```
[... | 1,899 | [
[
-0.018280029296875,
-0.01568603515625,
0.034912109375,
-0.0005936622619628906,
-0.02056884765625,
-0.01116180419921875,
0.0183258056640625,
-0.034881591796875,
0.0110931396484375,
0.03411865234375,
-0.039947509765625,
-0.057220458984375,
-0.0276336669921875,
... |
Multimodal-Fatima/OK-VQA_train | 2023-03-23T22:30:06.000Z | [
"region:us"
] | Multimodal-Fatima | null | null | 1 | 84 | 2023-03-07T14:44:07 | ---
dataset_info:
features:
- name: image
dtype: image
- name: question_type
dtype: string
- name: confidence
dtype: int32
- name: answers
sequence: string
- name: answers_original
list:
- name: answer
dtype: string
- name: raw_answer
dtype: string
- name: answer_... | 2,045 | [
[
-0.049224853515625,
-0.00799560546875,
0.0205078125,
-0.005279541015625,
-0.00930023193359375,
-0.01461029052734375,
0.0308685302734375,
-0.005428314208984375,
0.043670654296875,
0.033782958984375,
-0.057373046875,
-0.032012939453125,
-0.03228759765625,
-0.0... |
MU-NLPC/Calc-aqua_rat | 2023-10-30T15:57:12.000Z | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"arxiv:2305.15017",
"arxiv:1705.04146",
"region:us"
] | MU-NLPC | null | null | 2 | 84 | 2023-04-16T21:08:23 | ---
language:
- en
license: apache-2.0
size_categories:
- 10K<n<100K
task_categories:
- question-answering
pretty_name: AQuA-RAT with Calculator
dataset_info:
- config_name: default
features:
- name: id
dtype: string
- name: question
dtype: string
- name: chain
dtype: string
- name: result
dty... | 6,365 | [
[
-0.0270538330078125,
-0.035736083984375,
0.0245819091796875,
0.0071563720703125,
0.0089111328125,
0.0027370452880859375,
-0.011444091796875,
-0.023834228515625,
0.0191497802734375,
0.03033447265625,
-0.04638671875,
-0.0212554931640625,
-0.02880859375,
0.0261... |
vietgpt/ARC-Challenge_en | 2023-07-15T09:20:18.000Z | [
"language:en",
"region:us"
] | vietgpt | null | null | 2 | 84 | 2023-06-04T01:58:25 | ---
language: en
dataset_info:
features:
- name: id
dtype: string
- name: question
dtype: string
- name: choices
sequence:
- name: text
dtype: string
- name: label
dtype: string
- name: answerKey
dtype: string
splits:
- name: train
num_bytes: 349760
num_examples... | 672 | [
[
-0.047149658203125,
-0.006977081298828125,
0.00884246826171875,
0.018341064453125,
-0.006359100341796875,
0.01271820068359375,
0.01580810546875,
-0.0251312255859375,
0.05926513671875,
0.03863525390625,
-0.07196044921875,
-0.053192138671875,
-0.036712646484375,
... |
clarin-knext/dbpedia-pl | 2023-06-07T08:12:53.000Z | [
"language:pl",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | 2 | 84 | 2023-06-06T22:28:09 | ---
language:
- pl
---
Part of **BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language**.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl | 201 | [
[
-0.0153961181640625,
-0.0628662109375,
0.035400390625,
0.0164031982421875,
-0.022186279296875,
-0.010406494140625,
-0.0115814208984375,
-0.034515380859375,
-0.001323699951171875,
0.0286712646484375,
-0.038330078125,
-0.048126220703125,
-0.02899169921875,
-0.... |
dmayhem93/agieval-logiqa-en | 2023-06-18T17:28:42.000Z | [
"license:cc-by-nc-sa-4.0",
"arxiv:2304.06364",
"region:us"
] | dmayhem93 | null | null | 0 | 84 | 2023-06-18T12:49:02 | ---
dataset_info:
features:
- name: query
dtype: string
- name: choices
sequence: string
- name: gold
sequence: int64
splits:
- name: test
num_bytes: 852087
num_examples: 651
download_size: 420337
dataset_size: 852087
license: cc-by-nc-sa-4.0
---
# Dataset Card for "agieval-logiqa-en... | 1,268 | [
[
-0.01262664794921875,
-0.0260009765625,
0.008148193359375,
0.0007309913635253906,
-0.0177459716796875,
0.00659942626953125,
0.0209197998046875,
-0.03973388671875,
0.0072174072265625,
0.0248260498046875,
-0.050445556640625,
-0.042083740234375,
-0.03045654296875,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.