id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 68.7k ⌀ | citation stringlengths 0 10.7k ⌀ | cardData null | likes int64 0 3.55k | downloads int64 0 10.1M | card stringlengths 0 1.01M |
|---|---|---|---|---|---|---|---|---|---|
Trelis/touch-rugby-rules | 2023-09-30T13:16:06.000Z | [
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"fine-tuning",
"touch rugby",
"region:us"
] | Trelis | null | null | null | 0 | 97 | ---
task_categories:
- text-generation
language:
- en
tags:
- fine-tuning
- touch rugby
size_categories:
- n<1K
---
# Touch Rugby Rules Dataset
train.csv is comprised of a set of questions based on rules from the [International Touch Website](https://cdn.internationaltouch.org/public/FIT%205th%20Edition%20Rulebook.pdf... |
chrisgru/llama2-chat-guanaco | 2023-09-21T13:37:34.000Z | [
"region:us"
] | chrisgru | null | null | null | 0 | 97 | Entry not found |
distil-whisper/common_voice_13_0-timestamped | 2023-09-25T10:30:12.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:cc0-1.0",
"region:us"
] | distil-whisper | null | @inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Lang... | null | 0 | 97 | ---
license: cc0-1.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: Common Voice 13
---
# Distil Whisper: Common Voice 13 With Timestamps
This is a variant of the [Common Voice 13](https://huggingface.co/datasets/mozilla_foundation/common_voice_13) dataset, augmented to return the pseudo... |
distil-whisper/gigaspeech-l-timestamped | 2023-09-25T10:28:51.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:other",
"region:us"
] | distil-whisper | GigaSpeech is an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality
labeled audio suitable for supervised training, and 40,000 hours of total audio suitable for semi-supervised
and unsupervised training. Around 40,000 hours of transcribed audio is first collected from audiobooks,... | @article{DBLP:journals/corr/abs-2106-06909,
author = {Guoguo Chen and
Shuzhou Chai and
Guanbo Wang and
Jiayu Du and
Wei{-}Qiang Zhang and
Chao Weng and
Dan Su and
Daniel Povey and
Jan Trmal and
... | null | 0 | 97 | ---
license: other
task_categories:
- automatic-speech-recognition
language:
- en
extra_gated_prompt: |-
SpeechColab does not own the copyright of the audio files. For researchers and educators who wish to use the audio files for non-commercial research and/or educational purposes, we can provide access through the... |
weitung8/ntuadlhw1 | 2023-10-02T09:32:02.000Z | [
"language:zh",
"region:us"
] | weitung8 | null | null | null | 0 | 97 | ---
language:
- zh
--- |
result-kand2-sdxl-wuerst-karlo/c06e4969 | 2023-10-06T14:58:55.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 97 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 200
num_examples: 10
download_size: 1394
dataset_size: 200
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "c06e496... |
AlekseyKorshuk/persona-chat | 2022-06-04T21:49:08.000Z | [
"region:us"
] | AlekseyKorshuk | null | null | null | 7 | 96 | Entry not found |
AhmedSSoliman/DJANGO | 2022-08-14T14:19:28.000Z | [
"region:us"
] | AhmedSSoliman | null | null | null | 0 | 96 | Django Dataset for Code Translation Tasks
=========================================
*Django* dataset used in the paper
[*"Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation"*](http://ieeexplore.ieee.org/document/7372045/),
Oda et al., ASE, 2015.
The Django dataset is a dataset ... |
proteinea/remote_homology | 2022-12-12T16:20:18.000Z | [
"doi:10.57967/hf/1107",
"region:us"
] | proteinea | null | null | null | 2 | 96 | Entry not found |
Multimodal-Fatima/OK-VQA_test | 2023-05-29T02:08:55.000Z | [
"region:us"
] | Multimodal-Fatima | null | null | null | 0 | 96 | ---
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_... |
climatebert/climate_detection | 2023-04-18T14:39:49.000Z | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | climatebert | null | null | null | 2 | 96 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- en
license: cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids: []
pretty_name: ClimateTalkDetection
dataset_info:
features:
- name:... |
nikodallanoce/wmt14 | 2023-05-04T10:55:08.000Z | [
"region:us"
] | nikodallanoce | null | @InProceedings{bojar-EtAl:2014:W14-33,
author = {Bojar, Ondrej and Buck, Christian and Federmann, Christian and Haddow, Barry and Koehn, Philipp and Leveling, Johannes and Monz, Christof and Pecina, Pavel and Post, Matt and Saint-Amand, Herve and Soricut, Radu and Specia, Lucia and Tamchyna... | null | 0 | 96 | # Aim of this dataset
The code used to retrieve and create this dataset is almost identical to the one that you can find here [wmt14](https://huggingface.co/datasets/wmt14).
I only added the possibility to retrieve the "es-en" translation pairs from the newstest2013. This pair works only for the train and validation sp... |
christinacdl/clickbait_notclickbait_dataset | 2023-06-22T14:42:37.000Z | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | christinacdl | null | null | null | 0 | 96 | ---
license: apache-2.0
task_categories:
- text-classification
language:
- en
size_categories:
- 10K<n<100K
---
0 : not clickbait
1 : clickbait
Dataset cleaned from duplicates and kept only the first appearing text.
Dataset split into train and test sets using 0.2 split ratio.
Dataset split into test and validatio... |
SiberiaSoft/SiberianDatasetXL | 2023-07-24T00:28:56.000Z | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"task_categories:conversational",
"size_categories:100K<n<1M",
"language:ru",
"license:mit",
"region:us"
] | SiberiaSoft | null | null | null | 2 | 96 | ---
license: mit
task_categories:
- text-generation
- text2text-generation
- conversational
language:
- ru
size_categories:
- 100K<n<1M
---
### SiberiaSoft/SiberianDatasetXL
Датасет инструкций, диалогов, QA
## Процентное содержание задач:
| Задача ... |
PurCL/bincorp-26m-all | 2023-08-22T20:07:44.000Z | [
"region:us"
] | PurCL | null | null | null | 0 | 96 | ---
viewer: true
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
dataset_info:
features:
- name: code
dtype: string
- name: data_dep
dtype: string
splits:
- name: train
num_bytes: 39... |
cat-claws/face-verification | 2023-08-27T13:44:08.000Z | [
"region:us"
] | cat-claws | null | null | null | 0 | 96 | ---
configs:
- config_name: default
data_files:
- split: agedb_30
path: data/agedb_30-*
- split: calfw
path: data/calfw-*
- split: cfp_ff
path: data/cfp_ff-*
- split: cfp_fp
path: data/cfp_fp-*
- split: cplfw
path: data/cplfw-*
- split: lfw
path: data/lfw-*
dataset_info:
features... |
distil-whisper/ami-ihm-timestamped | 2023-09-25T10:30:13.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:cc-by-4.0",
"region:us"
] | distil-whisper | The AMI Meeting Corpus consists of 100 hours of meeting recordings. The recordings use a range of signals
synchronized to a common timeline. These include close-talking and far-field microphones, individual and
room-view video cameras, and output from a slide projector and an electronic whiteboard. During the meetings,... | @inproceedings{10.1007/11677482_3,
author = {Carletta, Jean and Ashby, Simone and Bourban, Sebastien and Flynn, Mike and Guillemot, Mael and Hain, Thomas and Kadlec, Jaroslav and Karaiskos, Vasilis and Kraaij, Wessel and Kronenthal, Melissa and Lathoud, Guillaume and Lincoln, Mike and Lisowska, Agnes and McCowan, Iain ... | null | 0 | 96 | ---
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: AMI IHM
---
# Distil Whisper: AMI IHM With Timestamps
This is a variant of the [AMI IHM](https://huggingface.co/datasets/edinburghcstr/ami) dataset, augmented to return the pseudo-labelled Whisper
Transcriptions along... |
distil-whisper/ami-sdm-timestamped | 2023-09-25T10:30:13.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:cc-by-4.0",
"region:us"
] | distil-whisper | The AMI Meeting Corpus consists of 100 hours of meeting recordings. The recordings use a range of signals
synchronized to a common timeline. These include close-talking and far-field microphones, individual and
room-view video cameras, and output from a slide projector and an electronic whiteboard. During the meetings,... | @inproceedings{10.1007/11677482_3,
author = {Carletta, Jean and Ashby, Simone and Bourban, Sebastien and Flynn, Mike and Guillemot, Mael and Hain, Thomas and Kadlec, Jaroslav and Karaiskos, Vasilis and Kraaij, Wessel and Kronenthal, Melissa and Lathoud, Guillaume and Lincoln, Mike and Lisowska, Agnes and McCowan, Iain ... | null | 0 | 96 | ---
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: AMI SDM
---
# Distil Whisper: AMI SDM With Timestamps
This is a variant of the [AMI SDM](https://huggingface.co/datasets/edinburghstr/ami) dataset, augmented to return the pseudo-labelled Whisper
Transcriptions alongs... |
distil-whisper/peoples_speech-clean-timestamped | 2023-09-25T10:30:12.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:cc-by-4.0",
"region:us"
] | distil-whisper | The People's Speech is a free-to-download 30,000-hour and growing supervised
conversational English speech recognition dataset licensed for academic and
commercial usage under CC-BY-SA (with a CC-BY subset). | @article{DBLP:journals/corr/abs-2111-09344,
author = {Daniel Galvez and
Greg Diamos and
Juan Ciro and
Juan Felipe Ceron and
Keith Achorn and
Anjali Gopi and
David Kanter and
Maximilian Lam and
Ma... | null | 0 | 96 | ---
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: People's Speech Clean
---
# Distil Whisper: People's Speech Clean With Timestamps
This is a variant of the [People's Speech Clean](https://huggingface.co/datasets/MLCommons/peoples_speech) dataset, augmented to return ... |
distil-whisper/tedlium-timestamped | 2023-09-25T10:30:13.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:cc-by-nc-nd-3.0",
"region:us"
] | distil-whisper | The TED-LIUM corpus is English-language TED talks, with transcriptions, sampled at 16kHz. It contains about 118 hours of speech. | null | null | 0 | 96 | ---
license: cc-by-nc-nd-3.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: TEDLIUM
---
# Distil Whisper: TEDLIUM With Timestamps
This is a variant of the [TEDLIUM](https://huggingface.co/datasets/LIUM/tedlium) dataset, augmented to return the pseudo-labelled Whisper
Transcriptions alon... |
distil-whisper/voxpopuli-timestamped | 2023-09-25T10:30:13.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:cc0-1.0",
"region:us"
] | distil-whisper | A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation. | @inproceedings{wang-etal-2021-voxpopuli,
title = "{V}ox{P}opuli: A Large-Scale Multilingual Speech Corpus for Representation Learning,
Semi-Supervised Learning and Interpretation",
author = "Wang, Changhan and
Riviere, Morgane and
Lee, Ann and
Wu, Anne and
Talnikar, Chaitanya a... | null | 0 | 96 | ---
license: cc0-1.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: VoxPopuli
---
# Distil Whisper: VoxPopuli With Timestamps
This is a variant of the [VoxPopuli](https://huggingface.co/datasets/facebook/voxpopuli) dataset, augmented to return the pseudo-labelled Whisper
Transcriptions ... |
yuntian-deng/im2latex-100k | 2022-08-26T23:53:28.000Z | [
"region:us"
] | yuntian-deng | null | null | null | 5 | 95 | Entry not found |
maykcaldas/smiles-transformers | 2023-04-04T22:02:47.000Z | [
"size_categories:100M<n<1B",
"language:en",
"license:mit",
"region:us"
] | maykcaldas | null | null | null | 2 | 95 | ---
license: mit
language:
- en
pretty_name: smiles-transformer-dataset
size_categories:
- 100M<n<1B
dataset_info:
features:
- name: text
dtype: string
- name: formula
dtype: string
- name: NumHDonors
dtype: int64
- name: NumHAcceptors
dtype: int64
- name: MolLogP
dtype: float64
- name... |
MentalFox/GPTeacher | 2023-04-10T11:12:29.000Z | [
"region:us"
] | MentalFox | null | null | null | 1 | 95 | # GPTeacher
A collection of modular datasets generated by GPT-4, General-Instruct - Roleplay-Instruct - Code-Instruct - and Toolformer
The General-Instruct used many of the same seed prompts as alpaca, but also had specific examples of things we didnt see much in with alpaca. Such as Chain of Thought Reasoning, Logic ... |
sezer12138/ADE20k_Segementation | 2023-07-21T03:06:25.000Z | [
"region:us"
] | sezer12138 | null | null | null | 0 | 95 | ---
dataset_info:
features:
- name: image
dtype: image
- name: annotated
dtype: image
- name: Scene_category
dtype:
class_label:
names:
'0': abbey
'1': access_road
'2': acropolis
'3': air_base
'4': aircraft_carrier_object
'5':... |
mlabonne/CodeLlama-2-20k | 2023-07-30T10:45:33.000Z | [
"task_categories:text-generation",
"language:en",
"license:cc-by-4.0",
"code",
"region:us"
] | mlabonne | null | null | null | 9 | 95 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 9551210
num_examples: 20022
download_size: 3551225
dataset_size: 9551210
license: cc-by-4.0
task_categories:
- text-generation
language:
- en
tags:
- code
---
# CodeLlama-2-20k: A Llama 2 Version of CodeAlpac... |
maheboob/guanaco-llama-2-chat | 2023-08-24T11:54:39.000Z | [
"region:us"
] | maheboob | null | null | null | 0 | 95 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 1655208
num_examples: 1000
download_size: 966969
dataset_size: 1655208
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "guanaco-llama-2-chat"
[Mor... |
inseq/disc_eval_mt | 2023-08-30T17:02:10.000Z | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:translation",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"language:fr",
"license:cc-by-sa-4.0",
"contextual-mt",
"document-mt",
"anaphora",
"... | inseq | The test sets comprise hand-crafted examples that are inspired by similar examples in the parallel corpus OpenSubtitles2016 (in terms of vocabulary usage, style and syntactic formulation)
for the evaluation of discourse in English-to-French machine translation. | @inproceedings{bawden-etal-2018-evaluating,
title = "Evaluating Discourse Phenomena in Neural Machine Translation",
author = "Bawden, Rachel and Sennrich, Rico and Birch, Alexandra and Haddow, Barry",
booktitle = {{Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Com... | null | 0 | 95 | ---
annotations_creators:
- expert-generated
language:
- en
- fr
license: cc-by-sa-4.0
language_creators:
- expert-generated
multilinguality:
- translation
pretty_name: DiscEvalMT
size_categories:
- n<1K
source_datasets:
- original
tags:
- contextual-mt
- document-mt
- anaphora
- lexical-choice
task_categories:
- trans... |
vlsp-2023-vllm/ai2_arc_vi | 2023-10-08T09:54:04.000Z | [
"region:us"
] | vlsp-2023-vllm | null | null | null | 0 | 95 | ---
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: string
- name: question
dtype: string
- name: choices
struct:
- name: label
... |
transformersbook/codeparrot | 2022-02-05T16:15:40.000Z | [
"python",
"code",
"region:us"
] | transformersbook | null | null | null | 34 | 94 | ---
tags:
- python
- code
---
# CodeParrot 🦜 Dataset
## What is it?
This is the full CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-p... |
proteinea/solubility | 2023-01-16T14:43:54.000Z | [
"license:mit",
"doi:10.57967/hf/1103",
"region:us"
] | proteinea | null | null | null | 0 | 94 | ---
license: mit
---
|
proteinea/deeploc | 2023-01-16T14:59:58.000Z | [
"doi:10.57967/hf/1105",
"region:us"
] | proteinea | null | null | null | 0 | 94 | Entry not found |
intfloat/wikipedia | 2023-04-23T08:36:49.000Z | [
"size_categories:100M<n<1B",
"region:us"
] | intfloat | \
Wikipedia dataset containing cleaned articles of all languages.
The datasets are built from the Wikipedia dump
(https://dumps.wikimedia.org/) with one split per language. Each example
contains the content of one full Wikipedia article with cleaning to strip
markdown and unwanted sections (references, etc.). | \
@ONLINE {wikidump,
author = {Wikimedia Foundation},
title = {Wikimedia Downloads},
url = {https://dumps.wikimedia.org}
} | null | 1 | 94 | ---
size_categories:
- 100M<n<1B
---
### Dataset Summary
This dataset is based on [olm/wikipedia](https://huggingface.co/datasets/olm/wikipedia).
The main difference is that we add `Section::::` prefix to each section title to keep the section structure information.
We also use `:` to join the hierarchical section tit... |
shahules786/Multi-chapter-summaries | 2023-08-03T19:33:17.000Z | [
"region:us"
] | shahules786 | null | null | null | 13 | 94 | ## Multi-chapter summaries
The dataset is derived from [BOOKSUM](https://github.com/salesforce/booksum)
The idea here is to make use of the BOOKSUM dataset to finetune models with larger context length (8k+) but very few samples in BOOKSUM have such length.
**Enter multi-chapter summaries!**
The context here compri... |
roszcz/pfa-sustain-quantized-7-7-7 | 2023-09-15T10:37:01.000Z | [
"region:us"
] | roszcz | null | null | null | 0 | 94 | ---
dataset_info:
features:
- name: midi_filename
dtype: string
- name: pitch
sequence: int16
length: 128
- name: dstart
sequence: float32
length: 128
- name: duration
sequence: float32
length: 128
- name: velocity
sequence: int16
length: 128
- name: dstart_bin
sequ... |
yzhuang/autotree_pmlb_100000_spambase_sgosdt_l256_dim10_d3_sd0 | 2023-09-07T19:42:03.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 94 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
yzhuang/autotree_automl_100000_covertype_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T02:06:34.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 94 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
gtfintechlab/fomc-example-dataset | 2023-09-12T21:18:49.000Z | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-nc-4.0",
"finance",
"region:us"
] | gtfintechlab | null | null | null | 0 | 94 | ---
license: cc-by-nc-4.0
task_categories:
- text-classification
language:
- en
tags:
- finance
size_categories:
- 1K<n<10K
---
## Citation and Contact Information
### Cite
Please cite our paper if you use any code, data, or models.
```c
@inproceedings{shah-etal-2023-trillion,
title = "Trillion Dollar Words: ... |
johannes-garstenauer/structs_token_size_4_reduced_labelled_eval_balanced_factor_3 | 2023-09-14T08:59:42.000Z | [
"region:us"
] | johannes-garstenauer | null | null | null | 1 | 94 | ---
dataset_info:
features:
- name: struct
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 65294030.35619895
num_examples: 269087
download_size: 24102593
dataset_size: 65294030.35619895
---
# Dataset Card for "structs_token_size_4_reduced_labelled_eval_balanced_fa... |
Mestopholis/gov-test | 2023-09-24T21:00:15.000Z | [
"region:us"
] | Mestopholis | null | null | null | 0 | 94 | This dataset is a subset of the Open Assistant dataset, which you can find here: https://huggingface.co/datasets/OpenAssistant/oasst1/tree/main
This subset of the data only contains the highest-rated paths in the conversation tree, with a total of 9,846 samples.
This dataset was used to train Guanaco with QLoRA.
For... |
SophieTr/reddit_clean | 2022-08-13T20:26:31.000Z | [
"region:us"
] | SophieTr | null | null | null | 3 | 93 | Entry not found |
Abdelrahman-Rezk/Arabic_Dialect_Identification | 2022-05-17T12:02:29.000Z | [
"arxiv:2005.06557",
"region:us"
] | Abdelrahman-Rezk | null | null | null | 0 | 93 | Arabic dialects, multi-class-Classification, Tweets.
# Dataset Card for Arabic_Dialect_Identification
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#d... |
Short-Answer-Feedback/saf_communication_networks_english | 2023-03-31T11:46:04.000Z | [
"task_categories:text2text-generation",
"annotations_creators:expert-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"short answer feedback",
"communication networks",
"region:us"
] | Short-Answer-Feedback | null | null | null | 6 | 93 | ---
pretty_name: SAF - Communication Networks - English
annotations_creators:
- expert-generated
language:
- en
language_creators:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- short answer feedback
- communication networks
task_categories:
- text2text-generation... |
dim/oasst_en | 2023-08-13T14:36:10.000Z | [
"license:mit",
"region:us"
] | dim | null | null | null | 0 | 93 | ---
license: mit
dataset_info:
features:
- name: conversation_ids
sequence: string
- name: conversation_text
sequence: string
- name: status
dtype: string
splits:
- name: train
num_bytes: 5716785
num_examples: 3141
download_size: 2174320
dataset_size: 5716785
---
|
Lakera/gandalf_ignore_instructions | 2023-10-02T09:26:29.000Z | [
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"prompt injection",
"region:us"
] | Lakera | null | null | null | 2 | 93 | ---
language:
- en
license: mit
size_categories:
- 1K<n<10K
dataset_info:
features:
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dtype: string
- name: similarity
dtype: float64
splits:
- name: train
num_bytes: 66400
num_examples: 777
- name: validation
num_bytes: 9633
num_examples: 111
- name: test
num_bytes:... |
SneakyInsect/ltafdb_preprocessed | 2023-09-28T11:47:31.000Z | [
"region:us"
] | SneakyInsect | null | null | null | 0 | 93 | ---
dataset_info:
features:
- name: record_id
dtype: string
- name: signal
dtype:
array2_d:
shape:
- 2
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dtype: float32
splits:
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num_bytes: 5676208388.003276
num_examples: 707906
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num_bytes: 658761012.8742297
n... |
mnoukhov/openai_summarize_comparisons_relabel_pythia7b | 2023-10-04T19:20:46.000Z | [
"region:us"
] | mnoukhov | null | null | null | 0 | 93 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: prompt
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
splits:
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num_bytes: 157425966
num_... |
result-kand2-sdxl-wuerst-karlo/8a14fb4c | 2023-10-06T19:06:51.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 93 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 174
num_examples: 10
download_size: 1325
dataset_size: 174
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "8a14fb4... |
ted_hrlr | 2023-04-05T13:41:24.000Z | [
"task_categories:translation",
"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:extended|ted_talks_iwslt",
"language:az",
"language:be",
"language:en",
"language:es",
"language:fr",
"language:... | null | Data sets derived from TED talk transcripts for comparing similar language pairs
where one is high resource and the other is low resource. | @inproceedings{Ye2018WordEmbeddings,
author = {Ye, Qi and Devendra, Sachan and Matthieu, Felix and Sarguna, Padmanabhan and Graham, Neubig},
title = {When and Why are pre-trained word embeddings useful for Neural Machine Translation},
booktitle = {HLT-NAACL},
year = {2018},
} | null | 0 | 92 | ---
annotations_creators:
- crowdsourced
language:
- az
- be
- en
- es
- fr
- gl
- he
- it
- pt
- ru
- tr
language_creators:
- expert-generated
license:
- cc-by-nc-nd-4.0
multilinguality:
- translation
pretty_name: TEDHrlr
size_categories:
- 1M<n<10M
source_datasets:
- extended|ted_talks_iwslt
task_categories:
- transl... |
dreamerdeo/finqa | 2023-03-06T08:29:39.000Z | [
"region:us"
] | dreamerdeo | null | null | null | 0 | 92 | dataset_info:
features:
- name: id
dtype: string
- name: post_text
sequence: string
- name: pre_text
sequence: string
- name: question
dtype: string
- name: answers
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- name: table
sequence:
sequence: string
splits:
- name: train
num_bytes: 26984130
nu... |
GATE-engine/mini_imagenet | 2023-06-06T11:44:26.000Z | [
"region:us"
] | GATE-engine | null | null | null | 1 | 92 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2533332667.0
num_examples: 38400
- name: validation
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num_examples: 9600
- name: test
num_bytes: 781497663.0
num_examples: 12000
downloa... |
HydraLM/physics_dataset_alpaca | 2023-07-27T18:43:43.000Z | [
"region:us"
] | HydraLM | null | null | null | 2 | 92 | ---
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 50217217
num_examples: 19999
download_size: 23657981
dataset_size: 50217217
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Data... |
JetBrains-Research/commit-chronicle | 2023-10-05T10:50:00.000Z | [
"task_categories:text-generation",
"task_categories:summarization",
"size_categories:1M<n<10M",
"language:code",
"language:en",
"license:other",
"code",
"commit_message_generation",
"arxiv:2308.07655",
"region:us"
] | JetBrains-Research | null | null | null | 2 | 92 | ---
license: other
language:
- code
- en
task_categories:
- text-generation
- summarization
tags:
- code
- commit_message_generation
pretty_name: CommitChronicle
size_categories:
- 1M<n<10M
dataset_info:
- config_name: default
features:
- name: author
dtype: int64
- name: date
dtype: string
- name: tim... |
worldboss/bitcoin-data-sentiment | 2023-08-11T23:05:06.000Z | [
"region:us"
] | worldboss | null | null | null | 0 | 92 | Entry not found |
hyperdemocracy/uscb.s1024.o256.bge-small-en | 2023-09-11T02:23:31.000Z | [
"license:mit",
"region:us"
] | hyperdemocracy | null | null | null | 0 | 92 | ---
license: mit
---
|
repllabs/questions_how_to_do_great_work | 2023-09-17T05:43:44.000Z | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"license:mit",
"region:us"
] | repllabs | null | null | null | 4 | 92 | ---
configs:
- config_name: default
data_files:
- split: processed
path: data/processed-*
- split: raw
path: data/raw-*
dataset_info:
features:
- name: question
dtype: string
- name: model
dtype: string
splits:
- name: processed
num_bytes: 17391
num_examples: 142
- name: raw
... |
nc33/CLM_data | 2023-09-18T15:31:42.000Z | [
"region:us"
] | nc33 | null | null | null | 0 | 92 | ---
dataset_info:
- config_name: default
features:
- name: train
struct:
- name: input
dtype: string
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 438033088
num_examples: 227703
download_size: 117819233
dataset_size:... |
tyzhu/squad_first_sent_v4_train_30_eval_10 | 2023-10-03T10:41:48.000Z | [
"region:us"
] | tyzhu | null | null | null | 0 | 92 | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
struct:
- name: answer_start
sequence: int64
- name: text
sequence: string
- name: context_id
dtype: str... |
sordonia/my-wiki_mmlu_from_valid_all | 2023-10-08T03:14:18.000Z | [
"region:us"
] | sordonia | null | null | null | 0 | 92 | ---
dataset_info:
features:
- name: subject
dtype: string
- name: docno
dtype: int64
- name: score
dtype: float64
- name: dfq
dtype: int64
- name: id
dtype: string
- name: revid
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype... |
nferruz/UR50_2021_04 | 2022-07-22T13:44:04.000Z | [
"size_categories:unknown",
"region:us"
] | nferruz | null | null | null | 1 | 91 | ---
YAML tags:
annotations_creators: []
language_creators: []
language: []
license: []
multilinguality: []
pretty_name: ''
size_categories:
- unknown
source_datasets: []
task_categories: []
task_ids: []
---
# Dataset Card for UR50_2021_04
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Desc... |
smangrul/MuDoConv | 2022-06-29T06:39:30.000Z | [
"license:cc-by-nc-4.0",
"region:us"
] | smangrul | null | null | null | 1 | 91 | ---
license: cc-by-nc-4.0
---
Collated datasets from 10 sources and preprocessed it to have ["texts", "labels"] columns to train/finetune sequence-to-sequence models such as T5/Blenderbot ... Below are the 10 datasets:
1. blended_skill_talk,
2. conv_ai_2
3. empathetic_dialogues
4. wizard_of_wikipedia
5. meta_woz
6. m... |
FourthBrainGenAI/MarketMail-AI | 2023-04-26T07:08:28.000Z | [
"region:us"
] | FourthBrainGenAI | null | null | null | 0 | 91 | ---
dataset_info:
features:
- name: product
dtype: string
- name: description
dtype: string
- name: marketing_email
dtype: string
splits:
- name: train
num_bytes: 30474
num_examples: 17
download_size: 31271
dataset_size: 30474
---
# Dataset Card for "cool_new_dataset"
[More Informat... |
vitaliy-sharandin/climate-global-temp-anomaly | 2023-09-24T13:50:13.000Z | [
"region:us"
] | vitaliy-sharandin | null | null | null | 0 | 91 | ---
dataset_info:
features:
- name: Entity
dtype: string
- name: Code
dtype: float64
- name: Global average temperature anomaly relative to 1961-1990
dtype: float64
- name: Upper bound (95% confidence interval) of the annual temperature anomaly
dtype: float64
- name: Lower bound (95% confide... |
atsushi3110/sft-part-chosen-rejected-pairs | 2023-09-26T13:24:51.000Z | [
"license:creativeml-openrail-m",
"region:us"
] | atsushi3110 | null | null | null | 0 | 91 | ---
license: creativeml-openrail-m
---
|
Y19Chip/english-to-hinglish | 2023-09-27T12:12:24.000Z | [
"license:agpl-3.0",
"region:us"
] | Y19Chip | null | null | null | 0 | 91 | ---
license: agpl-3.0
---
|
mtc/final_german_faithfulness_benchmark | 2023-10-07T12:01:00.000Z | [
"region:us"
] | mtc | null | null | null | 0 | 91 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: int64
- name: text
dtype: string
- name: article_id
dtype: int64
- name: system
dtype: string
- name: sentence_ord
dty... |
ContextualAI/tiny-lambada | 2023-10-09T19:41:05.000Z | [
"region:us"
] | ContextualAI | null | null | null | 0 | 91 | ---
dataset_info:
features:
- name: query
dtype: string
- name: gold_generation
dtype: string
splits:
- name: dev
num_bytes: 34989
num_examples: 100
download_size: 26234
dataset_size: 34989
configs:
- config_name: default
data_files:
- split: dev
path: data/dev-*
---
# Dataset Card... |
grail_qa | 2022-11-18T20:04:54.000Z | [
"task_categories:question-answering",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"knowledge-base-qa",
"arxiv:2011.07743",
"region:us"
] | null | Strongly Generalizable Question Answering (GrailQA) is a new large-scale, high-quality dataset for question answering on knowledge bases (KBQA) on Freebase with 64,331 questions annotated with both answers and corresponding logical forms in different syntax (i.e., SPARQL, S-expression, etc.). It can be used to test thr... | @misc{gu2020iid,
title={Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases},
author={Yu Gu and Sue Kase and Michelle Vanni and Brian Sadler and Percy Liang and Xifeng Yan and Yu Su},
year={2020},
eprint={2011.07743},
archivePrefix={arXiv},
primaryClass={cs.CL... | null | 2 | 90 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids: []
paperswithcode_id: null
pretty_name: Grail QA
tags:
- knowledge-base-qa
datase... |
opus_wikipedia | 2023-06-01T14:59:51.000Z | [
"task_categories:translation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ar",
"language:bg",
"language:cs",
"language:de",
"language:el",
"language:... | null | This is a corpus of parallel sentences extracted from Wikipedia by Krzysztof Wołk and Krzysztof Marasek. Please cite the following publication if you use the data: Krzysztof Wołk and Krzysztof Marasek: Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs., Procedia Technology, 18,... | @InProceedings{TIEDEMANN12.463,
author = {J{\"o}rg Tiedemann},
title = {Parallel Data, Tools and Interfaces in OPUS},
booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
year = {2012},
month = {may},
date = {23-25},
address = {Istanbul, Turkey},
... | null | 3 | 90 | ---
annotations_creators:
- found
language_creators:
- found
language:
- ar
- bg
- cs
- de
- el
- en
- es
- fa
- fr
- he
- hu
- it
- nl
- pl
- pt
- ro
- ru
- sl
- tr
- vi
license:
- unknown
multilinguality:
- multilingual
size_categories:
- 100K<n<1M
- 10K<n<100K
source_datasets:
- original
task_categories:
- translati... |
NbAiLab/norwegian_parliament | 2022-07-01T19:51:13.000Z | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:no",
"license:cc-by-4.0",
"region:us"
] | NbAiLab | The Norwegian Parliament Speeches is a collection of text passages from
1998 to 2016 and pronounced at the Norwegian Parliament (Storting) by members
of the two major parties: Fremskrittspartiet and Sosialistisk Venstreparti. | @InProceedings{--,
author = {---},
title = {---},
booktitle = {---},
year = 2021,
address = "---"
} | null | 1 | 90 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- no
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
---
# Dataset Card Creation Guide
## Table of Contents
- [Dataset Description](#dat... |
c-s-ale/dolly-15k-instruction-alpaca-format | 2023-04-13T06:08:38.000Z | [
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-3.0",
"instruction",
"region:us"
] | c-s-ale | null | null | null | 20 | 90 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: category
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 12271354
num_examples: 15015
download_size: 7801648
dataset_size: 12271354
license: cc-by-3.0
l... |
GATE-engine/omniglot | 2023-06-05T18:58:27.000Z | [
"region:us"
] | GATE-engine | null | null | null | 0 | 90 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: int64
splits:
- name: full
num_bytes: 11924141.5
num_examples: 32460
download_size: 10520482
dataset_size: 11924141.5
---
# Dataset Card for "omniglot"
[More Information needed](https://github.com/huggingface/data... |
mlfoundations/datacomp_1b | 2023-08-21T21:43:05.000Z | [
"license:cc-by-4.0",
"region:us"
] | mlfoundations | null | null | null | 5 | 90 | ---
license: cc-by-4.0
---
## DataComp-1B
This repository contains metadata files for DataComp-1B. For details on how to use the metadata, please visit [our website](https://www.datacomp.ai/) and our [github repository](https://github.com/mlfoundations/datacomp).
We distribute the image url-text samples and metadata... |
emozilla/proofpile-test-tokenized | 2023-08-09T15:29:52.000Z | [
"region:us"
] | emozilla | null | null | null | 0 | 90 | ---
dataset_info:
features:
- name: text
dtype: string
- name: meta
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: tokenized_len
dtype: int64
splits:
- name: test
num_bytes: 1644067664
num_examples: 46251
download_size: 5529734... |
martinsinnona/visdecode_web | 2023-10-10T15:30:42.000Z | [
"region:us"
] | martinsinnona | null | null | null | 0 | 90 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: test
num_bytes: 1170020.0
num_examples: 37
download_size: 0
dataset_size: 1170020.0
---
|
mtc/swisstext23-20min-gold_annotation_train_test_data | 2023-09-11T13:37:47.000Z | [
"region:us"
] | mtc | null | null | null | 0 | 90 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: int64
- name: text
dtype: string
- name: article_id
dtype: int64
- name: system
dtype: string
- name: sentence_ord
dty... |
chrisgru/chat-v2 | 2023-09-27T19:15:24.000Z | [
"region:us"
] | chrisgru | null | null | null | 0 | 90 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 7187480
num_examples: 4386
download_size: 3181614
dataset_size: 7187480
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "chat-v2"
[More Informatio... |
gathnex/Gath_baize | 2023-10-03T12:50:23.000Z | [
"license:mit",
"region:us"
] | gathnex | null | null | null | 1 | 90 | ---
license: mit
---
|
ContextualAI/tiny-hellaswag | 2023-10-09T21:43:49.000Z | [
"region:us"
] | ContextualAI | null | null | null | 0 | 90 | ---
dataset_info:
features:
- name: query
dtype: string
- name: choices
sequence: string
- name: gold_generation
dtype: string
splits:
- name: dev
num_bytes: 46204
num_examples: 100
download_size: 30744
dataset_size: 46204
configs:
- config_name: default
data_files:
- split: dev
... |
SocialGrep/one-million-reddit-jokes | 2022-07-01T18:48:46.000Z | [
"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 | null | 7 | 89 | ---
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-jokes
## Table of Contents
- [Dataset Description](#dataset-d... |
merve/poetry | 2022-10-25T09:50:55.000Z | [
"region:us"
] | merve | null | null | null | 14 | 89 | # Dataset Card for poetry
## 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... |
Tevatron/beir | 2022-07-08T00:17:30.000Z | [
"region:us"
] | Tevatron | null | null | null | 0 | 89 | Entry not found |
ScandEval/dane-mini | 2023-07-05T09:40:02.000Z | [
"task_categories:token-classification",
"size_categories:1K<n<10K",
"language:da",
"license:cc-by-sa-4.0",
"region:us"
] | ScandEval | null | null | null | 0 | 89 | ---
dataset_info:
features:
- name: text
dtype: string
- name: tokens
sequence: string
- name: labels
sequence: string
splits:
- name: train
num_bytes: 355712
num_examples: 1024
- name: test
num_bytes: 747809
num_examples: 2048
- name: val
num_bytes: 92001
num_example... |
paulofinardi/OIG_small_chip2_portuguese_brasil | 2023-03-19T23:16:11.000Z | [
"task_categories:conversational",
"task_categories:text2text-generation",
"language:pt",
"region:us"
] | paulofinardi | null | null | null | 8 | 89 | ---
dataset_info:
features:
- name: user
dtype: string
- name: chip2
dtype: string
splits:
- name: train
num_examples: 210289
task_categories:
- conversational
- text2text-generation
language:
- pt
---
# Dataset Card for "OIG_small_chip2_portuguese_brasil"
This dataset was translated to Portugue... |
LinhDuong/chatdoctor-200k | 2023-03-28T07:58:46.000Z | [
"license:apache-2.0",
"arxiv:2303.14070",
"region:us"
] | LinhDuong | null | null | null | 9 | 89 | ---
license: apache-2.0
---
This ChatDoctor-200K dataset is collected from this paper https://arxiv.org/pdf/2303.14070.pdf
Alternatively, you can download the original dataset from this link https://drive.google.com/file/d/1lyfqIwlLSClhgrCutWuEe_IACNq6XNUt/view?usp=sharing |
tarasabkar/IEMOCAP_Audio | 2023-04-08T12:21:44.000Z | [
"region:us"
] | tarasabkar | null | null | null | 1 | 89 | ---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: label
dtype:
class_label:
names:
'0': ang
'1': hap
'2': neu
'3': sad
splits:
- name: session1
num_bytes: 166986293.79
num_examples: 1085
- ... |
metaeval/implicit-hate-stg1 | 2023-05-31T08:52:07.000Z | [
"task_categories:text-classification",
"language:en",
"license:unknown",
"region:us"
] | metaeval | null | null | null | 0 | 89 | ---
license: unknown
task_categories:
- text-classification
language:
- en
---
https://github.com/SALT-NLP/implicit-hate
```
@inproceedings{elsherief-etal-2021-latent,
title = "Latent Hatred: A Benchmark for Understanding Implicit Hate Speech",
author = "ElSherief, Mai and
Ziems, Caleb and
Muchlin... |
abobster/pushkin_new | 2023-05-05T16:31:35.000Z | [
"region:us"
] | abobster | null | null | null | 0 | 89 | Entry not found |
FredZhang7/all-scam-spam | 2023-07-18T17:16:16.000Z | [
"task_categories:text-classification",
"task_categories:zero-shot-classification",
"size_categories:10K<n<100K",
"language:no",
"language:es",
"language:so",
"language:ca",
"language:af",
"language:it",
"language:nl",
"language:hi",
"language:cy",
"language:ar",
"language:sv",
"language:... | FredZhang7 | null | null | null | 2 | 89 | ---
license: apache-2.0
language:
- no
- es
- so
- ca
- af
- it
- nl
- hi
- cy
- ar
- sv
- cs
- pl
- de
- lt
- sq
- uk
- tl
- sl
- hr
- en
- fi
- vi
- id
- da
- ko
- bg
- mr
- ja
- bn
- ro
- pt
- fr
- hu
- tr
- zh
- mk
- ur
- sk
- ne
- et
- sw
- ru
- multilingual
task_categories:
- text-classification
- zero-shot-class... |
Flmc/DISC-Med-SFT | 2023-08-29T12:54:14.000Z | [
"task_categories:question-answering",
"task_categories:conversational",
"size_categories:100K<n<1M",
"language:zh",
"license:apache-2.0",
"medical",
"region:us"
] | Flmc | null | null | null | 29 | 89 | ---
license: apache-2.0
task_categories:
- question-answering
- conversational
language:
- zh
tags:
- medical
size_categories:
- 100K<n<1M
---
This is a repository containing a subset of the DISC-Med-SFT Dataset.
Check [DISC-MedLLM](https://github.com/FudanDISC/DISC-MedLLM) for more information. |
Kriyans/ner | 2023-10-09T12:44:11.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | Kriyans | null | null | null | 0 | 89 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
paperswithcode_id: wnut-2017-emerging-and-rare-entit... |
jason9693/APEACH | 2022-07-05T04:18:07.000Z | [
"task_categories:text-classification",
"annotations_creators:crowdsourced",
"annotations_creators:crowd-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:ko",
"license:cc-by-sa-4.0",
"arxiv:2202.12459",
"region... | jason9693 | null | null | null | 3 | 88 | ---
annotations_creators:
- crowdsourced
- crowd-generated
language_creators:
- found
language:
- ko
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: apeach
pretty_name: 'APEACH'
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- binary-cl... |
Gpaiva/NERDE | 2022-07-28T01:27:18.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:pt",
"license:cc-by-4.0",
"ner",
"portugu... | Gpaiva | (pt) NERDE é um dataset para NER a partir de documentos jurídicos da defesa econômica em português do Brasil, foi criado em colaboração com o Cade e o laboratório LATITUDE/UnB.
(en) NERDE is a NER dataset from economic defense legal documents in Brazilian Portuguese, created in collaboration with Cade and the LATITUDE/... | """
_DESCRIPTION = | null | 3 | 88 | ---
annotations_creators:
- expert-generated
language:
- pt
language_creators:
- expert-generated
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: NERDE
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- ner
- portuguese-ner
- economic-defense
task_categories:
- token-classification
task_... |
Bingsu/openwebtext_20p | 2022-09-16T02:36:38.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:extended|openwebtext",
"la... | Bingsu | null | null | null | 4 | 88 | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license:
- cc0-1.0
multilinguality:
- monolingual
paperswithcode_id: openwebtext
pretty_name: openwebtext_20p
size_categories:
- 1M<n<10M
source_datasets:
- extended|openwebtext
task_categories:
- text-generation
- fill-mask
task_ids:
-... |
nbtpj/DUC2004 | 2023-01-09T10:56:59.000Z | [
"region:us"
] | nbtpj | null | null | null | 0 | 88 | Entry not found |
Multimodal-Fatima/VQAv2_sample_validation | 2023-06-09T00:06:10.000Z | [
"region:us"
] | Multimodal-Fatima | null | null | null | 0 | 88 | ---
dataset_info:
features:
- name: question_type
dtype: string
- name: multiple_choice_answer
dtype: string
- name: answers
sequence: string
- name: answers_original
list:
- name: answer
dtype: string
- name: answer_confidence
dtype: string
- name: answer_id
dtyp... |
slvnwhrl/blurbs-clustering-p2p | 2023-04-24T11:42:06.000Z | [
"size_categories:10K<n<100K",
"language:de",
"license:cc-by-nc-4.0",
"embeddings",
"clustering",
"benchmark",
"region:us"
] | slvnwhrl | null | null | null | 0 | 88 | ---
license: cc-by-nc-4.0
language:
- de
tags:
- embeddings
- clustering
- benchmark
size_categories:
- 10K<n<100K
---
This dataset can be used as a benchmark for clustering word embeddings for <b>German</b>.
The datasets contains book titles and is based on the dataset from the [GermEval 2019 Shared Task on Hierarch... |
tomaarsen/conll2003 | 2023-05-08T13:34:35.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"task_ids:part-of-speech",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other-reuters-corpus",
"language:en",
"lice... | tomaarsen | The shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on
four types of named entities: persons, locations, organizations and names of miscellaneous entities that do
not belong to the previous three groups.
The CoNLL-2003 shared task data files contain four columns se... | @inproceedings{tjong-kim-sang-de-meulder-2003-introduction,
title = "Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition",
author = "Tjong Kim Sang, Erik F. and
De Meulder, Fien",
booktitle = "Proceedings of the Seventh Conference on Natural Language Learning... | null | 0 | 88 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|other-reuters-corpus
task_categories:
- token-classification
task_ids:
- named-entity-recognition
- part-of-speech
paperswithcode_i... |
griffin/ChemSum | 2023-06-01T17:25:14.000Z | [
"task_categories:summarization",
"size_categories:100K<n<1M",
"language:en",
"chemistry",
"biology",
"medical",
"arxiv:2305.07615",
"region:us"
] | griffin | null | null | null | 5 | 88 | ---
task_categories:
- summarization
language:
- en
tags:
- chemistry
- biology
- medical
pretty_name: Generating Abstracts of Academic Chemistry Papers
size_categories:
- 100K<n<1M
---
# Dataset Card for ChemSum
## ChemSum Description
<!---- **Homepage:**
- **Leaderboard:**
----->
- **Paper:** [What are the Desire... |
kunishou/hh-rlhf-49k-ja | 2023-05-19T04:36:37.000Z | [
"license:mit",
"region:us"
] | kunishou | null | null | null | 14 | 88 | ---
license: mit
---
This dataset was created by automatically translating part of "Anthropic/hh-rlhf" into Japanese.
This dataset is also included in "mosaicml/dolly_hhrlhf".
The "ng_translation" flag indicates that the translation was not successful, and "1" means that the translation failed.
Therefore, for data w... |
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