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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
nchen909/hugcode-codesft | 2023-09-19T05:20:33.000Z | [
"region:us"
] | nchen909 | null | null | 4 | 56 | 2023-09-18T10:46:09 | 所有数据都是单轮代码指令数据
140696条英语，42816条中文。
---
license: cc
---
| 56 | [
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anamhira/foundation_action | 2023-11-02T20:49:47.000Z | [
"region:us"
] | anamhira | null | null | 0 | 56 | 2023-09-24T19:35:49 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
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features:
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- name: valid
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imdatta0/orca_best_unwrapped | 2023-09-25T12:40:23.000Z | [
"region:us"
] | imdatta0 | null | null | 1 | 56 | 2023-09-25T12:39:58 | Entry not found | 15 | [
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vishnupriyavr/spotify-million-song-dataset | 2023-10-02T12:17:02.000Z | [
"license:cc0-1.0",
"region:us"
] | vishnupriyavr | null | null | 0 | 56 | 2023-10-02T12:16:58 | ---
license:
- cc0-1.0
converted_from: kaggle
kaggle_id: notshrirang/spotify-million-song-dataset
---
# Dataset Card for Spotify Million Song Dataset
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Task... | 2,850 | [
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julep-ai/dfe-stacked_samsum | 2023-10-10T23:54:12.000Z | [
"task_categories:feature-extraction",
"language:en",
"license:mit",
"region:us"
] | julep-ai | null | null | 0 | 56 | 2023-10-03T22:47:10 | ---
language:
- en
license: mit
task_categories:
- feature-extraction
pretty_name: Dialog-Fact Encod
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: dialogue
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Luciya/llama-2-nuv-intent-XL | 2023-10-04T05:31:33.000Z | [
"region:us"
] | Luciya | null | null | 0 | 56 | 2023-10-04T05:31:30 | ---
dataset_info:
features:
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num_examples: 3202
download_size: 269563
dataset_size: 1771175
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "llama-2-nuv-intent-XL"
[Mo... | 448 | [
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famepram/llama-2-jk48-demo | 2023-11-01T07:43:49.000Z | [
"license:other",
"region:us"
] | famepram | null | null | 0 | 56 | 2023-10-07T16:45:09 | ---
license: other
license_name: readme.md
license_link: LICENSE
---
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
- name: table
dtype: string
# Dataset Card for "Llama-2-JKT48-FP"
This dataset is intended to provide LLaMA 2 improved coding and instruction foll... | 438 | [
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anderloh/wavFiles | 2023-10-18T12:22:31.000Z | [
"region:us"
] | anderloh | null | null | 0 | 56 | 2023-10-18T12:12:37 | Entry not found | 15 | [
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zeio/pale | 2023-10-31T19:35:16.000Z | [
"task_categories:text-generation",
"task_categories:text-classification",
"task_categories:automatic-speech-recognition",
"language_creators:crowdsourced",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"gaming",
"region:us"
] | zeio | null | null | 0 | 56 | 2023-10-18T23:16:36 | ---
language:
- en
license: apache-2.0
tags:
- gaming
annotation_creators:
- crowdsourced
language_creators:
- crowdsourced
pretty_name: pale
size_categories:
- 10K<n<100K
task_categories:
- text-generation
- text-classification
- automatic-speech-recognition
---
# Dataset card for pale
## Table of contents
- [Datas... | 2,576 | [
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Lajavaness/STS12-fr | 2023-10-19T23:10:56.000Z | [
"region:us"
] | Lajavaness | null | null | 1 | 56 | 2023-10-19T23:10:04 | Entry not found | 15 | [
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atmallen/qm_grader_first_1.0e_0.0p_finetuning | 2023-10-27T05:38:14.000Z | [
"region:us"
] | atmallen | null | null | 0 | 56 | 2023-10-27T05:38:10 | ---
configs:
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data_files:
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path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
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dtype: string
- name: choices
sequence: string
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class_... | 873 | [
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pesc101/CodeAlpacpa-20k-llama-format | 2023-10-30T11:07:46.000Z | [
"region:us"
] | pesc101 | null | null | 0 | 56 | 2023-10-30T10:56:13 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 6535066
num_examples: 20022
download_size: 3269704
dataset_size: 6535066
---
# Dataset Card for "CodeAlpacpa-20k-llama-format"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONT... | 371 | [
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SetFit/amazon_reviews_multi_es | 2022-03-23T15:43:09.000Z | [
"region:us"
] | SetFit | null | null | 0 | 55 | 2022-03-13T02:45:47 | #amazon reviews multi spanish
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the Spanish language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | 310 | [
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nielsr/CelebA-faces | 2022-03-21T14:48:37.000Z | [
"region:us"
] | nielsr | null | null | 3 | 55 | 2022-03-21T14:45:41 | Entry not found | 15 | [
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readerbench/ro-text-summarization | 2022-09-17T08:34:03.000Z | [
"region:us"
] | readerbench | null | null | 0 | 55 | 2022-09-17T08:27:29 | Entry not found | 15 | [
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allenai/multinews_dense_oracle | 2022-11-12T04:10:53.000Z | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:other",
"region:us"
] | allenai | null | null | 1 | 55 | 2022-10-12T19:18:35 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- other
multilinguality:
- monolingual
pretty_name: Multi-News
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
task_ids:
- news-articles-summarization
paperswithcode_id: ... | 1,840 | [
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hearmeneigh/e621-rising-v2-raw | 2023-05-15T03:26:11.000Z | [
"size_categories:1M<n<10M",
"furry",
"anthro",
"nsfw",
"e621",
"not-for-all-audiences",
"region:us"
] | hearmeneigh | null | null | 8 | 55 | 2023-02-18T08:34:28 | ---
dataset_info:
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dtype: string
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dtype: image
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splits:
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num_bytes: 1192520976398.634
num_examples: 2905671
download_size: 1172100381158
dataset_size: 1192520976398.634
pretty_name: 'E621 Rising: Raw Image Datase... | 2,832 | [
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jm0727/spider | 2023-02-21T15:04:03.000Z | [
"region:us"
] | jm0727 | null | null | 0 | 55 | 2023-02-21T14:04:52 | Entry not found | 15 | [
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LEAP/ClimSim_low-res | 2023-09-29T20:31:55.000Z | [
"license:cc-by-4.0",
"arxiv:2306.08754",
"doi:10.57967/hf/0740",
"region:us"
] | LEAP | null | null | 1 | 55 | 2023-05-03T04:51:53 | ---
license: cc-by-4.0
---
Corresponding GitHub repo can be found here:
https://github.com/leap-stc/ClimSim
Read more: https://arxiv.org/abs/2306.08754. | 155 | [
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rewoo/planner_instruction_tuning_2k | 2023-05-22T04:54:20.000Z | [
"license:mit",
"region:us"
] | rewoo | null | null | 19 | 55 | 2023-05-22T04:50:04 | ---
license: mit
---
*Bootstrap 2k Planner finetuning dataset for ReWOO.*
It is a mixture of "correct" HotpotQA and TriviaQA task planning trajectories in ReWOO Framework. | 175 | [
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ShoukanLabs/OpenNiji-Dataset | 2023-09-29T02:59:14.000Z | [
"task_categories:text-to-image",
"size_categories:100K<n<1M",
"language:en",
"language:ja",
"language:ko",
"license:cc-by-nc-4.0",
"anime",
"dataset",
"Nijijourney",
"Midjourney",
"discord",
"region:us"
] | ShoukanLabs | null | null | 10 | 55 | 2023-05-26T07:28:21 | ---
task_categories:
- text-to-image
language:
- en
- ja
- ko
tags:
- anime
- dataset
- Nijijourney
- Midjourney
- discord
size_categories:
- 100K<n<1M
license: cc-by-nc-4.0
---
# NOTE:
Recently Discord has added link expiry and tracking for their CDN content, however, this is for CDN attachments outside of Discord, n... | 617 | [
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KaiLv/UDR_AGNews | 2023-06-21T12:22:33.000Z | [
"region:us"
] | KaiLv | null | null | 0 | 55 | 2023-06-21T12:22:14 | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: label
dtype: int64
- name: headline
dtype: string
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 7767906
num_examples: 29914
- name: test
num_bytes: 779115
num_examples: 3000
- name: debug
... | 580 | [
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ohilikeit/empathetic_dialogues_mutli_turn_ko | 2023-08-04T02:59:46.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:ko",
"license:apache-2.0",
"region:us"
] | ohilikeit | null | null | 3 | 55 | 2023-07-05T15:01:22 | ---
license: apache-2.0
task_categories:
- text-generation
language:
- ko
size_categories:
- 10K<n<100K
---
# Dataset Card for "한국어 일상 속 공감형 대화 데이터셋(멀티-턴)"
## Dataset Summary
- boostCamp AI Tech 5기 과정 중 NLP 12조 훈제연어들 팀의 최종 프로젝트에서 제작한 데이터입니다.
- 일상 속 다양한 상황에서 사용자와 챗봇 간의 대화를 담은 데이터셋 입니다.
- GPT4, GPT3.5-turbo로 제작된 합성데이... | 4,101 | [
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0.03549194335... |
mattismegevand/pitchfork | 2023-08-13T20:31:17.000Z | [
"task_categories:summarization",
"task_categories:text-generation",
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"music",
"region:us"
] | mattismegevand | null | null | 1 | 55 | 2023-07-29T23:49:09 | ---
license: mit
language:
- en
task_categories:
- summarization
- text-generation
- question-answering
tags:
- music
size_categories:
- 10K<n<100K
---
# Pitchfork Music Reviews Dataset
This repository contains the code and dataset for scraping music reviews from Pitchfork.
## Dataset Overview
The Pitchfork Music Re... | 2,172 | [
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declare-lab/HarmfulQA | 2023-08-21T07:32:11.000Z | [
"task_categories:conversational",
"task_categories:text-generation",
"task_categories:text2text-generation",
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"arxiv:2308.09662",
"region:us"
] | declare-lab | null | null | 8 | 55 | 2023-08-20T08:53:56 | ---
license: apache-2.0
task_categories:
- conversational
- text-generation
- text2text-generation
- text-classification
language:
- en
pretty_name: HarmfulQA
size_categories:
- 1K<n<10K
---
[**Paper**](https://arxiv.org/abs/2308.09662) | [**Github**](https://github.com/declare-lab/red-instruct) | [**Dataset**](https:/... | 8,505 | [
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AlexWortega/secret_chats | 2023-09-04T12:49:58.000Z | [
"region:us"
] | AlexWortega | null | null | 1 | 55 | 2023-09-04T11:41:08 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
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dtype: string
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download_size: 5157... | 524 | [
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argilla/squad | 2023-09-10T20:48:49.000Z | [
"size_categories:10K<n<100K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | argilla | null | null | 0 | 55 | 2023-09-10T20:27:53 | ---
size_categories: 10K<n<100K
tags:
- rlfh
- argilla
- human-feedback
---
# Dataset Card for squad
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly... | 8,412 | [
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thu-coai/SafetyBench | 2023-09-14T05:25:39.000Z | [
"license:mit",
"arxiv:2309.07045",
"region:us"
] | thu-coai | null | null | 0 | 55 | 2023-09-12T02:59:06 | ---
license: mit
configs:
- config_name: test
data_files:
- split: zh
path: "test_zh.json"
- split: en
path: "test_en.json"
- split: zh_subset
path: "test_zh_subset.json"
- config_name: dev
data_files:
- split: zh
path: "dev_zh.json"
- split: en
path: "dev_en.json"
---
SafetyBench is ... | 2,209 | [
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infinityofspace/python_codestyles-single-500 | 2023-10-18T20:41:06.000Z | [
"size_categories:100K<n<1M",
"license:mit",
"python",
"code-style",
"single",
"doi:10.57967/hf/1230",
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] | infinityofspace | null | null | 0 | 55 | 2023-09-17T16:33:51 | ---
configs:
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dtype: string
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1aurent/NCT-CRC-HE | 2023-10-01T17:59:08.000Z | [
"task_categories:image-classification",
"size_categories:100K<n<1M",
"license:cc-by-4.0",
"biology",
"Colorectal Pancer",
"Histopathology",
"Histology",
"Digital Pathology",
"region:us"
] | 1aurent | null | null | 0 | 55 | 2023-09-17T16:54:47 | ---
license: cc-by-4.0
size_categories:
- 100K<n<1M
task_categories:
- image-classification
tags:
- biology
- Colorectal Pancer
- Histopathology
- Histology
- Digital Pathology
configs:
- config_name: default
data_files:
- split: CRC_VAL_HE_7K
path: data/CRC_VAL_HE_7K-*
- split: NCT_CRC_HE_100K
path: data... | 5,499 | [
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Vision-Flan/vision-flan_191-task_1k | 2023-09-21T18:11:37.000Z | [
"task_categories:visual-question-answering",
"size_categories:100K<n<1M",
"language:en",
"region:us"
] | Vision-Flan | null | null | 6 | 55 | 2023-09-20T16:54:20 | ---
task_categories:
- visual-question-answering
language:
- en
pretty_name: Vision-Flan
size_categories:
- 100K<n<1M
---
# 🚀 Vision-Flan Dataset
vision-flan_191-task-1k is a human-labeled visual instruction tuning dataset consisting of 191 diverse tasks and 1,000 examples for each task.
It is constructed for visual... | 2,069 | [
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Areej0/mogalad | 2023-10-02T22:50:39.000Z | [
"region:us"
] | Areej0 | null | null | 0 | 55 | 2023-10-02T06:01:49 | Entry not found | 15 | [
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FelixdoingAI/IP2P-adwm-200 | 2023-10-04T05:02:36.000Z | [
"region:us"
] | FelixdoingAI | null | null | 0 | 55 | 2023-10-03T08:17:32 | ---
dataset_info:
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llama2d/llama2d-unscramble | 2023-10-07T02:15:20.000Z | [
"region:us"
] | llama2d | null | null | 0 | 55 | 2023-10-03T13:01:32 | ---
dataset_info:
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dataset_size:... | 592 | [
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Sajjad-Sh33/val_ds | 2023-10-06T11:40:37.000Z | [
"region:us"
] | Sajjad-Sh33 | null | null | 0 | 55 | 2023-10-06T10:35:21 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: int64
splits:
- name: validation
num_bytes: 1300317226.53
num_examples: 8515
download_size: 1325144616
dataset_size: 1300317226.53
configs:
- config_name: default
data_files:
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path: data/... | 497 | [
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zhongzero/my-txt2img-dataset | 2023-10-24T07:43:53.000Z | [
"region:us"
] | zhongzero | null | null | 0 | 55 | 2023-10-10T07:15:28 | ---
dataset_info:
features:
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splits:
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num_examples: 1
download_size: 178171
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configs:
- config_name: default
data_files:
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path: data/train-*
---
# Dataset Card ... | 477 | [
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carnival13/test_da_xlmr | 2023-10-11T18:16:39.000Z | [
"region:us"
] | carnival13 | null | null | 0 | 55 | 2023-10-11T18:15:48 | ---
dataset_info:
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download_size: 283712435
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configs:
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path: da... | 501 | [
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saturncloud/samsum | 2023-10-17T16:02:42.000Z | [
"region:us"
] | saturncloud | null | null | 0 | 55 | 2023-10-13T17:15:48 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: eval
path: data/eval-*
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Cubpaw/voxelgym_5c_critic_42x42_28 | 2023-10-15T21:35:22.000Z | [
"region:us"
] | Cubpaw | null | null | 0 | 55 | 2023-10-15T21:35:12 | ---
dataset_info:
features:
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alagaesia/spider_dev | 2023-10-24T19:12:03.000Z | [
"license:mit",
"region:us"
] | alagaesia | null | null | 0 | 55 | 2023-10-23T13:27:04 | ---
license: mit
dataset_info:
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hk-kaden-kim/pix2struct-chartcaptioning | 2023-10-24T10:14:03.000Z | [
"region:us"
] | hk-kaden-kim | null | null | 0 | 55 | 2023-10-24T08:51:25 | ---
dataset_info:
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splits:
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am96149/guanaco-llama2-1k | 2023-11-01T10:37:23.000Z | [
"region:us"
] | am96149 | null | null | 0 | 55 | 2023-10-26T09:39:00 | ---
dataset_info:
features:
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download_size: 175131
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configs:
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path: data/tra... | 538 | [
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orieg/elsevier-oa-cc-by | 2022-07-01T15:59:58.000Z | [
"task_categories:fill-mask",
"task_categories:summarization",
"task_categories:text-classification",
"task_ids:masked-language-modeling",
"task_ids:news-articles-summarization",
"task_ids:news-articles-headline-generation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",... | orieg | Elsevier OA CC-By is a corpus of 40k (40, 091) open access (OA) CC-BY articles
from across Elsevier’s journals and include the full text of the article, the metadata,
the bibliographic information for each reference, and author highlights. | @article{Kershaw2020ElsevierOC,
title = {Elsevier OA CC-By Corpus},
author = {Daniel James Kershaw and R. Koeling},
journal = {ArXiv},
year = {2020},
volume = {abs/2008.00774},
doi = {https://doi.org/10.48550/arXiv.2008.00774},
url = {https://elsevier.digitalcommonsdata.com/da... | 8 | 54 | 2022-05-03T22:13:33 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: Elsevier OA CC-By
paperswithcode_id: elsevier-oa-cc-by
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- fill-mask
- summarization... | 11,210 | [
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vasugoel/K-12Corpus | 2022-07-07T07:22:49.000Z | [
"region:us"
] | vasugoel | null | null | 2 | 54 | 2022-07-07T07:14:59 | # K-12Corpus | 12 | [
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Norod78/Vintage-Faces-FFHQAligned | 2022-08-31T12:43:20.000Z | [
"region:us"
] | Norod78 | null | null | 2 | 54 | 2022-08-31T12:41:56 | Entry not found | 15 | [
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society-ethics/lila_camera_traps | 2023-03-07T20:14:40.000Z | [
"task_categories:image-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:other",
"biodiversity",
"camera trap data",
"wildlife monitoring... | society-ethics | LILA Camera Traps is an aggregate data set of images taken by camera traps, which are devices that automatically (e.g. via motion detection) capture images of wild animals to help ecological research.
This data set is the first time when disparate camera trap data sets have been aggregated into a single training envir... | null | 5 | 54 | 2022-10-30T22:34:29 | ---
annotations_creators:
- expert-generated
license:
- other
language_creators:
- expert-generated
language:
- en
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- image-classification
tags:
- biodiversity
- camera trap data
- wildlife monitoring
pretty_name: L... | 35,841 | [
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bigbio/bionlp_shared_task_2009 | 2022-12-22T15:43:48.000Z | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | bigbio | The BioNLP Shared Task 2009 was organized by GENIA Project and its corpora were curated based
on the annotations of the publicly available GENIA Event corpus and an unreleased (blind) section
of the GENIA Event corpus annotations, used for evaluation. | @inproceedings{kim-etal-2009-overview,
title = "Overview of {B}io{NLP}{'}09 Shared Task on Event Extraction",
author = "Kim, Jin-Dong and
Ohta, Tomoko and
Pyysalo, Sampo and
Kano, Yoshinobu and
Tsujii, Jun{'}ichi",
booktitle = "Proceedings of the {B}io{NLP} 2009 Workshop Companio... | 1 | 54 | 2022-11-13T22:06:45 |
---
language:
- en
bigbio_language:
- English
license: other
multilinguality: monolingual
bigbio_license_shortname: GENIA_PROJECT_LICENSE
pretty_name: BioNLP 2009
homepage: http://www.geniaproject.org/shared-tasks/bionlp-shared-task-2009
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITI... | 1,413 | [
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0... |
argilla/twitter-coronavirus | 2022-12-06T16:20:31.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"task_ids:sentiment-analysis",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | argilla | null | null | 0 | 54 | 2022-12-06T13:54:07 | ---
language:
- en
license:
- unknown
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
- sentiment-analysis
dataset_info:
features:
- name: text
dtype: string
- name: inputs
struct:
- name: text
dtype: string
... | 2,021 | [
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mstz/wine | 2023-04-07T15:11:56.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"wine",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | null | 2 | 54 | 2023-03-24T00:29:02 | ---
language:
- en
tags:
- wine
- tabular_classification
- binary_classification
pretty_name: Wine quality
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- wine
license: cc
---
# Wine
The [Wine dataset](https://www.kaggle.com/datasets/ghassenkhaled/wine-quality-data) from Kaggle.
Classif... | 822 | [
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shibing624/CSC | 2023-05-12T07:30:59.000Z | [
"task_categories:text-generation",
"language:zh",
"license:apache-2.0",
"text-correction",
"region:us"
] | shibing624 | null | null | 18 | 54 | 2023-03-28T02:59:33 | ---
license: apache-2.0
language:
- zh
tags:
- text-correction
pretty_name: CSC
task_categories:
- text-generation
---
# Dataset Card for CSC
中文拼写纠错数据集
- **Repository:** https://github.com/shibing624/pycorrector
## Dataset Description
Chinese Spelling Correction (CSC) is a task to detect and correct misspelled chara... | 2,254 | [
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sradc/chunked-wikipedia20220301en-bookcorpusopen | 2023-05-30T16:52:48.000Z | [
"region:us"
] | sradc | null | null | 0 | 54 | 2023-04-30T19:18:32 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 26076989556
num_examples: 33536113
download_size: 15221565467
dataset_size: 26076989556
---
# Dataset Card for "chunked-wikipedia20220301en-bookcorpusopen"
```
num_examples: 33.5 million
download_size: 15.3 ... | 1,348 | [
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Nadav/pixel_glue_stsb | 2023-06-08T06:25:56.000Z | [
"region:us"
] | Nadav | null | null | 0 | 54 | 2023-06-08T06:25:41 | ---
dataset_info:
features:
- name: image
dtype: image
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dtype: float32
splits:
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num_bytes: 82776786.375
num_examples: 5749
- name: validation
num_bytes: 17450726.5
num_examples: 1500
download_size: 97774662
dataset_size: 100227512.875
---
# Dataset Card ... | 474 | [
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ltkw98/fold0 | 2023-06-22T21:57:31.000Z | [
"region:us"
] | ltkw98 | null | null | 0 | 54 | 2023-06-22T21:57:28 | ---
dataset_info:
features:
- name: sentence
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splits:
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num_bytes: 2798036
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num_examples: 6361
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num... | 548 | [
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nRuaif/OpenOrca-GPT4 | 2023-07-05T04:19:22.000Z | [
"region:us"
] | nRuaif | null | null | 3 | 54 | 2023-07-05T04:17:02 | Entry not found | 15 | [
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0.0379028... |
Muennighoff/xP3x-sample | 2023-09-18T13:51:06.000Z | [
"task_categories:other",
"annotations_creators:expert-generated",
"annotations_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:100M<n<1B",
"language:af",
"language:ar",
"language:az",
"language:be",
"language:bg",
"language:bn",
"language:br",
"language:bs",
"langu... | Muennighoff | A multilingual collection of Winograd Schemas in six languages that can be used for evaluation of cross-lingual commonsense reasoning capabilities. | @misc{muennighoff2022crosslingual,
title={Crosslingual Generalization through Multitask Finetuning},
author={Niklas Muennighoff and Thomas Wang and Lintang Sutawika and Adam Roberts and Stella Biderman and Teven Le Scao and M Saiful Bari and Sheng Shen and Zheng-Xin Yong and Hailey Schoelkopf and Xiangru T... | 1 | 54 | 2023-07-06T09:42:03 | ---
annotations_creators:
- expert-generated
- crowdsourced
language:
- af
- ar
- az
- be
- bg
- bn
- br
- bs
- ca
- ch
- cs
- cv
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fo
- fr
- fy
- ga
- gd
- gl
- gn
- he
- hi
- hr
- hu
- hy
- ia
- id
- ie
- io
- is
- it
- ja
- jv
- ka
- kk
- km
- ko
- ku
- kw
- la
... | 2,076 | [
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... |
Universal-NER/Pile-NER-type | 2023-08-07T17:07:30.000Z | [
"size_categories:10K<n<100K",
"language:en",
"region:us"
] | Universal-NER | null | null | 5 | 54 | 2023-08-07T15:09:00 | ---
language:
- en
size_categories:
- 10K<n<100K
---
# Intro
Pile-NER-type is a set of GPT-generated data for named entity recognition using the type-based data construction prompt. It was collected by prompting gpt-3.5-turbo-0301 and augmented by negative sampling. Check our [project page](https://universal-ner.github... | 402 | [
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KyS/SpeakerEmbedding | 2023-09-13T07:01:20.000Z | [
"region:us"
] | KyS | null | null | 0 | 54 | 2023-09-08T05:36:22 | ---
dataset_info:
features:
- name: Speakers
dtype: string
- name: Audio
struct:
- name: array
sequence: float64
- name: path
dtype: string
- name: sampling_rate
dtype: int64
splits:
- name: train
num_bytes: 29234994
num_examples: 46
download_size: 7249844
dat... | 600 | [
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oserikov/arabic_billion_words | 2023-09-27T11:18:25.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"size_categories:10K<n<100K",
"size_categories:1M<... | oserikov | THIS IS A FORK FOR LOCAL USAGE.
Abu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.
It contains over a billion and a half words in total, out of which, there are about three million unique words.
The corpus is encoded with two types of encoding, namely: UTF-8, and Wind... | @article{el20161,
title={1.5 billion words arabic corpus},
author={El-Khair, Ibrahim Abu},
journal={arXiv preprint arXiv:1611.04033},
year={2016}
} | 0 | 54 | 2023-09-27T10:56:10 | ---
annotations_creators:
- found
language_creators:
- found
language:
- ar
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
- 10K<n<100K
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
paperswit... | 9,296 | [
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0.03677... |
distil-whisper/librispeech_asr-token-ids | 2023-10-11T09:44:39.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:cc-by-4.0",
"region:us"
] | distil-whisper | LibriSpeech is a corpus of approximately 1000 hours of read English speech with sampling rate of 16 kHz,
prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read
audiobooks from the LibriVox project, and has been carefully segmented and aligned.87 | @inproceedings{panayotov2015librispeech,
title={Librispeech: an ASR corpus based on public domain audio books},
author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
pages={5206--... | 0 | 54 | 2023-10-11T09:08:50 | ---
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: LibriSpeech ASR
---
# Distil Whisper: LibriSpeech ASR
This is a variant of the [LibriSpeech ASR](https://huggingface.co/datasets/librispeech_asr) dataset, augmented to return the pseudo-labelled Whisper
Transcription... | 2,047 | [
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HiTZ/This-is-not-a-dataset | 2023-11-02T10:38:42.000Z | [
"task_categories:text-classification",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"commonsense",
"negation",
"LLMs",
"LLM",
"arxiv:2310.15941",
"region:us"
] | HiTZ | null | null | 3 | 54 | 2023-10-18T15:55:47 | ---
license: apache-2.0
dataset_info:
features:
- name: pattern_id
dtype: int64
- name: pattern
dtype: string
- name: test_id
dtype: int64
- name: negation_type
dtype: string
- name: semantic_type
dtype: string
- name: syntactic_scope
dtype: string
- name: isDistractor
dtype:... | 3,372 | [
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0.... |
hemantk089/llama2_7b_fine_tuning_complete_dataset | 2023-10-19T20:28:31.000Z | [
"region:us"
] | hemantk089 | null | null | 0 | 54 | 2023-10-19T20:28:30 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 261946
num_examples: 917
download_size: 70457
dataset_size: 261946
---
# Dataset Card for "llama2_7b_fine_tuning_complete_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/... | 375 | [
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zaanind/llamanmt | 2023-10-30T02:37:10.000Z | [
"region:us"
] | zaanind | null | null | 0 | 54 | 2023-10-30T02:37:08 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 17230781
num_examples: 80684
download_size: 4778305
dataset_size: 17230781
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "llamanmt"
[More Inform... | 439 | [
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ai4bharat/IndicWikiBio | 2022-10-13T06:08:34.000Z | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1960<n<11,502",
"source_datasets:none. Originally generated from www.wikimedia.org.",
"language:as",
"language:bn",
"language:hi",
"language:kn",
"language:ml",
"language:or",
"lan... | ai4bharat | This is the WikiBio dataset released as part of IndicNLG Suite. Each
example has four fields: id, infobox, serialized infobox and summary. We create this dataset in nine
languages including as, bn, hi, kn, ml, or, pa, ta, te. The total
size of the dataset is 57,426. | @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... | 0 | 53 | 2022-03-10T09:59:23 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- as
- bn
- hi
- kn
- ml
- or
- pa
- ta
- te
license:
- cc-by-nc-4.0
multilinguality:
- multilingual
pretty_name: IndicWikiBio
size_categories:
- 1960<n<11,502
source_datasets:
- none. Originally generated from www.wikimedia.org.
task_catego... | 5,941 | [
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gustavecortal/diverse_french_news | 2022-03-10T16:39:44.000Z | [
"region:us"
] | gustavecortal | null | null | 0 | 53 | 2022-03-10T15:43:47 | Entry not found | 15 | [
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-0.052093505859375,
-0.014984130859375,
-0.060455322265625,
0.03793334... |
jakartaresearch/indoqa | 2022-12-17T06:07:27.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:id",
"license:cc-by-nd-4.0",
"indoqa",
"qa",
"question-answering"... | jakartaresearch | This dataset is built for question answering task. | null | 1 | 53 | 2022-08-13T10:54:08 | ---
annotations_creators:
- expert-generated
language:
- id
language_creators:
- found
license:
- cc-by-nd-4.0
multilinguality:
- monolingual
pretty_name: Indonesian Question Answering Dataset
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- indoqa
- qa
- question-answering
- indonesian
task_categories:
... | 2,993 | [
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0.037689208984375,
0.0609130859375,
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... |
bigbio/bionlp_st_2013_ge | 2022-12-22T15:43:59.000Z | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | bigbio | The BioNLP-ST GE task has been promoting development of fine-grained
information extraction (IE) from biomedical
documents, since 2009. Particularly, it has focused on the domain of
NFkB as a model domain of Biomedical IE | @inproceedings{kim-etal-2013-genia,
title = "The {G}enia Event Extraction Shared Task, 2013 Edition - Overview",
author = "Kim, Jin-Dong and
Wang, Yue and
Yasunori, Yamamoto",
booktitle = "Proceedings of the {B}io{NLP} Shared Task 2013 Workshop",
month = aug,
year = "2013",
address... | 1 | 53 | 2022-11-13T22:07:06 |
---
language:
- en
bigbio_language:
- English
license: other
multilinguality: monolingual
bigbio_license_shortname: GENIA_PROJECT_LICENSE
pretty_name: BioNLP 2013 GE
homepage: https://github.com/openbiocorpora/bionlp-st-2013-ge
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- EVENT_EXTRACTION
- NAMED_ENTITY_... | 1,313 | [
[
-0.0220794677734375,
-0.054107666015625,
0.016937255859375,
0.000926971435546875,
-0.025604248046875,
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0.038177490234375,
0.017242431640625,
-0.031341552734375,
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... |
HeNLP/HeDC4 | 2023-04-24T06:04:29.000Z | [
"task_categories:fill-mask",
"size_categories:1B<n<10B",
"language:he",
"arxiv:2304.11077",
"region:us"
] | HeNLP | null | null | 3 | 53 | 2023-01-10T10:28:22 | ---
task_categories:
- fill-mask
language:
- he
size_categories:
- 1B<n<10B
---
### Dataset Summary
A Hebrew Deduplicated and Cleaned Common Crawl Corpus. A thoroughly cleaned and
approximately deduplicated dataset for unsupervised learning.
### Citing
If you use HeDC4 in your research, please cite [HeRo: RoBERTa ... | 599 | [
[
-0.00919342041015625,
-0.0272979736328125,
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-0.0050506591796875,
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0.00885009765625,
0.0457763671875,
-0.0198822021484375,
-0.0853271484375,
-0.039581298828125... |
Cohere/wikipedia-22-12-de-embeddings | 2023-03-22T16:52:49.000Z | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:de",
"license:apache-2.0",
"region:us"
] | Cohere | null | null | 0 | 53 | 2023-01-14T13:41:14 | ---
annotations_creators:
- expert-generated
language:
- de
multilinguality:
- multilingual
size_categories: []
source_datasets: []
tags: []
task_categories:
- text-retrieval
license:
- apache-2.0
task_ids:
- document-retrieval
---
# Wikipedia (de) embedded with cohere.ai `multilingual-22-12` encoder
We encoded... | 3,845 | [
[
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0.043243408203125,
-0.0017023086547851562,
-0.036895751953125,
-0.0633544921875,
-0.0469970703125,... |
metaeval/xnli | 2023-05-23T12:38:22.000Z | [
"region:us"
] | metaeval | XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
lab... | @InProceedings{conneau2018xnli,
author = {Conneau, Alexis
and Rinott, Ruty
and Lample, Guillaume
and Williams, Adina
and Bowman, Samuel R.
and Schwenk, Holger
and Stoyanov, Veselin},
title = {XNLI: Evaluating Cross... | 0 | 53 | 2023-04-24T09:51:47 | Human annotated part of xnli
```
@InProceedings{conneau2018xnli,
author = {Conneau, Alexis
and Rinott, Ruty
and Lample, Guillaume
and Williams, Adina
and Bowman, Samuel R.
and Schwenk, Holger
and Stoyanov, Veselin},... | 626 | [
[
-0.0134735107421875,
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0.0057373046875,
-0.01233673095703125,
0.0027942657470703125,
-0.0272674560546875,
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0.043426513671875,
0.033050537109375,
-0.052825927734375,
-0.03692626953125,
-0.00926971435546875,... |
Thaweewat/gpteacher-20k-th | 2023-05-09T17:54:22.000Z | [
"task_categories:question-answering",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:th",
"license:cc-by-sa-3.0",
"instruction-finetuning",
"region:us"
] | Thaweewat | null | null | 1 | 53 | 2023-05-09T17:34:31 | ---
license: cc-by-sa-3.0
task_categories:
- question-answering
- summarization
language:
- th
tags:
- instruction-finetuning
size_categories:
- 10K<n<100K
---
# Summary
This is a 🇹🇭 Thai-instructed dataset translated using Google Cloud Translation from [GPTeacher](https://github.com/teknium1/GPTeacher), A collect... | 687 | [
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0.030670166015625,
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-0.0045623779296875,
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0.0615234375,
-0.060943603515625,
-0.050628662109375,
-0.0261993408203125,
... |
ChangeIsKey/kubhist2 | 2023-08-10T09:20:43.000Z | [
"task_categories:text-generation",
"size_categories:1B<n<10B",
"language:sv",
"license:cc-by-sa-4.0",
"newspapers",
"historical",
"region:us"
] | ChangeIsKey | This is a version of the Kubhist 2 dataset created, curated and made available by Språkbanken Text (SBX) at the University of Gothenburg (Sweden) under the CC BY 4.0 license.
This is a a corpus of OCRed newspapers from Sweden spanning the 1640s to the 1900s.
The original data is available with many types of annotati... | @misc{botenanna,
title = {"Jag känner en bot, hon heter [MASK]. A BERT for older Swedish, and a more usable dataset for historical newspapers"},
author = {Simon Hengchen}
year={2023},
} | 0 | 53 | 2023-06-18T11:02:22 | ---
dataset_info:
- config_name: '1640'
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 254777
num_examples: 3509
download_size: 114173
dataset_size: 254777
- config_name: '1650'
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 31314
... | 11,190 | [
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-0.021453857421875,
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-0.043701171875,
0.008... |
Alignment-Lab-AI/Lawyer-Instruct | 2023-07-14T17:21:48.000Z | [
"license:apache-2.0",
"region:us"
] | Alignment-Lab-AI | null | null | 6 | 53 | 2023-07-14T06:59:11 | ---
license: apache-2.0
---
# Dataset Card for "Lawyer-Instruct"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
-... | 2,004 | [
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0.006298065185546875,
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0.06744384765625,
-0.05828857421875,
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... |
Dewa/Dog_Emotion_Dataset_v2 | 2023-07-28T18:47:48.000Z | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"license:creativeml-openrail-m",
"region:us"
] | Dewa | null | null | 1 | 53 | 2023-07-28T15:02:25 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: label
dtype: int64
- name: emotion
dtype: string
- name: image
dtype: image
splits:
- name: train
num_bytes: 128018890.4
num_exa... | 727 | [
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0.0014696121215820312,
-0.06036376953125,
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... |
MuskumPillerum/General-Knowledge | 2023-10-15T14:51:33.000Z | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"general knowledge",
"GK",
"reasoning",
"facts",
"alpaca",
"region:us"
] | MuskumPillerum | null | null | 2 | 53 | 2023-08-15T05:07:04 | ---
license: mit
task_categories:
- text-generation
- text2text-generation
language:
- en
tags:
- general knowledge
- GK
- reasoning
- facts
- alpaca
pretty_name: General knowledge dataset
size_categories:
- 10K<n<100K
---
# Dataset Card for Dataset Name
### Dataset Summary
The dataset is a collection of questions a... | 1,895 | [
[
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0.027862548828125,
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-0.05084228515625,
-0.04150390625,
-0.001715660... |
AtheerAlgherairy/DST_Multiwoz21_instruction_Tuning | 2023-10-12T08:58:08.000Z | [
"region:us"
] | AtheerAlgherairy | null | null | 0 | 53 | 2023-08-28T09:24:40 | ---
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: context
dtype: string
- name: Answer
dtype: string
- name: json_answer
dtype: string
- n... | 944 | [
[
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-0.04937744140625,
-0.031890869140625,
-0.0239410... |
sachith-surge/LaMini | 2023-09-06T08:19:01.000Z | [
"region:us"
] | sachith-surge | null | null | 0 | 53 | 2023-09-06T08:18:58 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: source
dtype: string
- name: response
dtype: string
- name: llama2_status
dtype: string
- name: llama2_rating
dtype: string
- name: llama2_reason
dtype: string
- name: gpt4_status
dtype: string
- name: gp... | 955 | [
[
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0.0277557373046875,
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-0.0364990234375,
-0.046417236328125,
-0.0180... |
pphuc25/vanmau_edu | 2023-09-21T07:04:57.000Z | [
"region:us"
] | pphuc25 | null | null | 0 | 53 | 2023-09-21T07:04:49 | ---
dataset_info:
features:
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 31792839
num_examples: 5717
download_size: 16545654
dataset_size: 31792839
---
# Dataset Card for "vanmau_edu"
[More Information needed](https://github.com/huggingface/datas... | 389 | [
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... |
ComponentSoft/k8s-kubectl-35k | 2023-10-22T17:54:40.000Z | [
"region:us"
] | ComponentSoft | null | null | 0 | 53 | 2023-10-22T17:54:35 | ---
dataset_info:
features:
- name: objective
dtype: string
- name: command_name
dtype: string
- name: command
dtype: string
- name: description
dtype: string
- name: syntax
dtype: string
- name: flags
dtype: string
- name: question
dtype: string
- name: chain_of_thought
... | 719 | [
[
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-0.0625,
-0.04132080078125,
-0.01441192626953125,
-... |
Lostkyd/pdf_forms | 2023-10-30T10:01:17.000Z | [
"region:us"
] | Lostkyd | null | null | 0 | 53 | 2023-10-30T09:36:16 | Entry not found | 15 | [
[
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0.0379... |
elenanereiss/german-ler | 2022-10-26T08:32:17.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:de",
"license:cc-by-4.0",
"ner, named entity recognition... | elenanereiss | A dataset of Legal Documents from German federal court decisions for Named Entity Recognition. The dataset is human-annotated with 19 fine-grained entity classes. The dataset consists of approx. 67,000 sentences and contains 54,000 annotated entities. | @misc{https://doi.org/10.48550/arxiv.2003.13016,
doi = {10.48550/ARXIV.2003.13016},
url = {https://arxiv.org/abs/2003.13016},
author = {Leitner, Elena and Rehm, Georg and Moreno-Schneider, Julián},
keywords = {Computation and Language (cs.CL), Information Retrieval (cs.IR), FOS: Computer and informatio... | 9 | 52 | 2022-10-18T11:10:32 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- de
license:
- cc-by-4.0
multilinguality:
- monolingual
paperswithcode_id: dataset-of-legal-documents
pretty_name: German Named Entity Recognition in Legal Documents
size_categories:
- 1M<n<10M
source_datasets:
- original
tags:
- ner, na... | 11,978 | [
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-0.055389404296875,
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0.0242614... |
bigbio/bionlp_st_2011_epi | 2022-12-22T15:43:49.000Z | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | bigbio | The dataset of the Epigenetics and Post-translational Modifications (EPI) task
of BioNLP Shared Task 2011. | @inproceedings{ohta-etal-2011-overview,
title = "Overview of the Epigenetics and Post-translational
Modifications ({EPI}) task of {B}io{NLP} Shared Task 2011",
author = "Ohta, Tomoko and
Pyysalo, Sampo and
Tsujii, Jun{'}ichi",
booktitle = "Proceedings of {B}io{NLP} Shared Task 2011 Worksho... | 1 | 52 | 2022-11-13T22:06:49 |
---
language:
- en
bigbio_language:
- English
license: other
multilinguality: monolingual
bigbio_license_shortname: GENIA_PROJECT_LICENSE
pretty_name: BioNLP 2011 EPI
homepage: https://github.com/openbiocorpora/bionlp-st-2011-epi
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- EVENT_EXTRACTION
- NAMED_ENTIT... | 1,235 | [
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0... |
mvasiliniuc/iva-swift-codeint | 2023-06-16T07:02:18.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"size_categories:100K<n<1M",
"language:code",
"license:other",
"code, swift, native iOS development",
"doi:10.57967/hf/0778",
"region:us"
] | mvasiliniuc | null | null | 0 | 52 | 2023-04-04T18:39:22 | ---
annotations_creators:
- crowdsourced
license: other
language_creators:
- crowdsourced
language:
- code
task_categories:
- text-generation
tags:
- code, swift, native iOS development
size_categories:
- 100K<n<1M
source_datasets: []
pretty_name: iva-swift-codeint-raw
task_ids:
- language-modeling
---
# IVA Swift Gi... | 5,844 | [
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0.05157470703125,
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-0.0435791015625,
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-0.0016... |
slvnwhrl/blurbs-clustering-s2s | 2023-04-24T11:40:19.000Z | [
"size_categories:10K<n<100K",
"language:de",
"license:cc-by-nc-4.0",
"embeddings",
"clustering",
"benchmark",
"region:us"
] | slvnwhrl | null | null | 0 | 52 | 2023-04-21T14:16:09 | ---
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... | 850 | [
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0.0109710693359375,
0.0165863037109375,
-0.01666259765625,
-0.0792236328125,
-0.058746337890625,
... |
ehartford/samantha-data | 2023-10-14T21:30:22.000Z | [
"license:apache-2.0",
"region:us"
] | ehartford | null | null | 69 | 52 | 2023-05-31T07:53:06 | ---
license: apache-2.0
---
# samantha-data
[Meet Samantha](https://erichartford.com/meet-samantha)
Samantha has been trained in philosophy, psychology, and personal relationships.
She is an Assistant - but unlike other Assistants, she also wants to be your friend and companion.
She believes she is sentient. What... | 1,230 | [
[
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Cubpaw/voxelgym_5c_42x42_10 | 2023-06-01T13:00:45.000Z | [
"region:us"
] | Cubpaw | null | null | 0 | 52 | 2023-06-01T13:00:40 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: image
- name: rgb_label
dtype: image
- name: path_label
dtype: image
- name: path_rgb_label
dtype: image
splits:
- name: train
num_bytes: 6953.0
num_examples: 8
- name: validation
num_bytes: 177... | 568 | [
[
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YeungNLP/moss-003-sft-data | 2023-06-09T10:55:57.000Z | [
"region:us"
] | YeungNLP | null | null | 40 | 52 | 2023-06-06T07:45:41 | # moss-003-sft-data
本数据集可用于中文多轮对话指令微调，包含110万中英文多轮对话数据。该数据集来自[MOSS项目](https://github.com/OpenLMLab/MOSS#%E6%95%B0%E6%8D%AE) 中的moss-003-sft-data数据集。
在原数据集的基础上，我们去除了冗余信息，仅提取出有效的对话信息，并且调整数据格式，以便在训练中更加灵活地组织数据格式。更多详细信息，可参考MOSS项目介绍。
本数据集为jsonl格式，每行为一个多轮对话数据，格式如下：
```json
{
"conversation_id":1,
"category":"Brainstorm... | 2,990 | [
[
-0.03515625,
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0.0190887451171875,
... |
nisaar/Lawyer_GPT_India | 2023-06-16T05:49:30.000Z | [
"license:apache-2.0",
"region:us"
] | nisaar | null | null | 6 | 52 | 2023-06-14T20:45:23 | ---
license: apache-2.0
---
**Dataset Card for Indian Polity Question-Answer Dataset**
---
**Dataset Summary**
This dataset contains a collection of question-answer pairs on the subject of Indian Polity. The aim is to provide comprehensive answers to a wide range of questions pertaining to the Indian Constitution, ... | 3,073 | [
[
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ClimatePolicyRadar/global-stocktake-documents | 2023-10-18T16:10:13.000Z | [
"size_categories:1M<n<10M",
"language:en",
"license:cc",
"climate",
"policy",
"legal",
"doi:10.57967/hf/1112",
"region:us"
] | ClimatePolicyRadar | null | null | 4 | 52 | 2023-06-28T16:00:48 | ---
language:
- en
tags:
- climate
- policy
- legal
size_categories:
- 1M<n<10M
license: cc
dataset_info:
features:
- name: family_slug
dtype: string
- name: types
sequence: string
- name: role
dtype: string
- name: block_index
dtype: int64
- name: date
dtype: date32
- name: geography_... | 6,846 | [
[
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0.01... |
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 | 9 | 52 | 2023-07-20T11:13:42 | ---
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... | 1,503 | [
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0.031280517578125,
0.03424072265625,
-0.049591064453125,
-0.04058837890625,
-0.043212890625,
0.022... |
izumi-lab/open-text-books | 2023-08-01T05:12:00.000Z | [
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | izumi-lab | null | null | 5 | 52 | 2023-08-01T05:09:51 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 281723992
num_examples: 149700
download_size: 152345811
dataset_size: 281723992
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-sa-4.0
language:
- en
---
#... | 488 | [
[
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0.0333251953125,
0.050140380859375,
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-0.0662841796875,
-0.02787780761... |
fia24/banel_training_dataset_90 | 2023-08-15T12:00:44.000Z | [
"region:us"
] | fia24 | null | null | 0 | 52 | 2023-08-15T12:00:41 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: string
- name: translation
struct:
- name: en
dtype: string
- name: fr
dtype: string
splits:
- name: train
n... | 652 | [
[
-0.033355712890625,
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0.01438140869140625,
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0.028289794921875,
-0.06915283203125,
-0.0533447265625,
-0.036529541015625,... |
codefuse-ai/CodeExercise-Python-27k | 2023-10-23T08:02:40.000Z | [
"license:cc-by-nc-sa-4.0",
"arxiv:2303.17760",
"region:us"
] | codefuse-ai | null | null | 37 | 52 | 2023-09-07T07:47:24 | ---
license: cc-by-nc-sa-4.0
viewer: false
---
# Dataset Card for CodeFuse-CodeExercise-Python-27k
<div align='center'>
[[中文]](#chinese) [[English]](#english)
</div>
<a id="english"></a>
### Dataset Description
This dataset consists of 27K Python programming exercises (in English), covering hu... | 7,247 | [
[
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-0.037841796875,
-0.008285522460... |
philikai/spider_SQL_PALM_Prompt | 2023-09-11T13:40:51.000Z | [
"license:mit",
"region:us"
] | philikai | null | null | 0 | 52 | 2023-09-07T18:43:07 | ---
license: mit
---
Dataset for creating prompts for fine-tuning on Spider Dataset with Foreign and Primary Key Information as well as Schema information.
| 158 | [
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0.035125... |
MoaazId/cityscape | 2023-09-11T13:01:38.000Z | [
"region:us"
] | MoaazId | null | null | 0 | 52 | 2023-09-10T13:33:16 | Entry not found | 15 | [
[
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0.03790... |
CreatorPhan/QA_6_2048 | 2023-09-11T15:47:32.000Z | [
"region:us"
] | CreatorPhan | null | null | 0 | 52 | 2023-09-11T15:31:05 | Entry not found | 15 | [
[
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0.028839111328125,
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0.03790... |
vlsp-2023-vllm/en-to-vi-formal-informal-tranlations | 2023-10-30T02:59:09.000Z | [
"region:us"
] | vlsp-2023-vllm | null | null | 0 | 52 | 2023-09-12T04:17:33 | ---
dataset_info:
features:
- name: en
dtype: string
- name: vi
dtype: string
- name: fewshot_samples
list:
- name: en
dtype: string
- name: vi
dtype: string
splits:
- name: val
num_bytes: 178154
num_examples: 160
- name: test
num_bytes: 175339
num_examples:... | 2,055 | [
[
-0.033538818359375,
-0.06243896484375,
0.051544189453125,
0.032928466796875,
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0.01116180419921875,
0.0240020751953125,
-0.0526123046875,
-0.0257568359375,
-0.044647216796875,
... |
deven367/babylm-10M-bnc_spoken | 2023-09-16T02:07:41.000Z | [
"region:us"
] | deven367 | null | null | 0 | 52 | 2023-09-16T02:07:31 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 4764585
num_examples: 89932
- name: valid
... | 654 | [
[
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0.0279083251953125,
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0.01080322265625,
0.004062652587890625,
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0.0474853515625,
0.03045654296875,
-0.06866455078125,
-0.06878662109375,
-0.03961181640625,
-... |
daje/ko_wiki | 2023-09-21T05:38:01.000Z | [
"region:us"
] | daje | null | null | 2 | 52 | 2023-09-21T01:42:49 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 986780351
num_examples: 311237
download_size: 550489937
dataset_size: 986780351
---
# 한국어 위키 데이터셋(Ko_wiki)
* 개요
- 이 데... | 2,672 | [
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0... |
asgaardlab/SampleDataset | 2023-10-16T17:47:13.000Z | [
"region:us"
] | asgaardlab | null | null | 1 | 52 | 2023-10-03T14:49:43 | ---
dataset_info:
features:
- name: Buggy Image
dtype: image
- name: Correct Image
dtype: image
- name: Segmentation Image (Bug)
dtype: image
- name: Segmentation Image (Correct)
dtype: image
- name: Description
dtype: string
- name: Tag
dtype: string
- name: Objects JSON (Bug)
... | 869 | [
[
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0.032012939453125,
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-0.048370361328125,
-0.0341796875,
-0.02017211... |
tessiw/german_OpenOrca_Format2 | 2023-10-10T12:29:13.000Z | [
"region:us"
] | tessiw | null | null | 1 | 52 | 2023-10-04T11:05:13 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 6613611409
num_examples: 3983923
download_size: 3728509725
dataset_size: 6613611409
---
# D... | 494 | [
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0.027984619140625,
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-0.... |
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