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 |
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fiveflow/for_align | 2023-10-08T04:59:06.000Z | [
"region:us"
] | fiveflow | null | null | 0 | 52 | 2023-10-08T04:37:59 | ---
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YuyangHuang/amazonReviewSummary | 2023-11-01T02:13:46.000Z | [
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pbaoo2705/cpgqa_processed_eval | 2023-10-16T06:02:20.000Z | [
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] | pbaoo2705 | null | null | 0 | 52 | 2023-10-10T06:53:20 | ---
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marcus2000/timelist_dataset | 2023-10-11T07:53:19.000Z | [
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] | marcus2000 | null | null | 0 | 52 | 2023-10-11T07:53:17 | ---
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fiveflow/passage_rationale | 2023-10-17T02:14:24.000Z | [
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# Dataset Card for ... | 472 | [
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ZenMoore/RoleBench | 2023-10-19T09:33:57.000Z | [
"language:zh",
"language:en",
"license:apache-2.0",
"Role-Playing",
"Instruction",
"arxiv:2310.00746",
"region:us"
] | ZenMoore | null | null | 18 | 52 | 2023-10-19T08:54:01 | ---
language:
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pretty_name: "RoleBench"
tags:
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- Instruction
license: "apache-2.0"
---
# RoleBench
- Paper Title: RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
- arXiv Link: https://arxiv.org/abs/2310.00746
- Github Repo: https://github.com/In... | 4,931 | [
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Ghadiii/Pairs | 2023-10-24T15:04:15.000Z | [
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coastalcph/fm_classifier-1-1 | 2023-11-01T16:47:12.000Z | [
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] | coastalcph | null | null | 0 | 52 | 2023-11-01T16:46:53 | ---
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NbAiLab/norne | 2022-11-07T12:41:46.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"task_ids:part-of-speech",
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"license:other"... | NbAiLab | NorNE is a manually annotated
corpus of named entities which extends the annotation of the existing
Norwegian Dependency Treebank. Comprising both of the official standards of
written Norwegian (Bokmål and Nynorsk), the corpus contains around 600,000
tokens and annotates a rich set of entity types including persons,
or... | @inproceedings{johansen2019ner,
title={NorNE: Annotating Named Entities for Norwegian},
author={Fredrik Jørgensen, Tobias Aasmoe, Anne-Stine Ruud Husevåg,
Lilja Øvrelid, and Erik Velldal},
booktitle={LREC 2020},
year={2020},
url={https://arxiv.org/abs/1911.12146}
} | 3 | 51 | 2022-03-02T23:29:22 | ---
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quickdraw | 2023-06-26T12:09:26.000Z | [
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"arxiv:1704.... | null | The Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw!.
The drawings were captured as timestamped vectors, tagged with metadata including what the player was asked to draw and in which country the player was located. | @article{DBLP:journals/corr/HaE17,
author = {David Ha and
Douglas Eck},
title = {A Neural Representation of Sketch Drawings},
journal = {CoRR},
volume = {abs/1704.03477},
year = {2017},
url = {http://arxiv.org/abs/1704.03477},
archivePrefix = {arXiv},
eprint = {1... | 8 | 51 | 2022-06-09T09:56:43 | ---
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paperswithcode_id: quick-draw-... | 67,305 | [
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ITESM/embedded_faqs_medicare | 2022-06-14T22:06:28.000Z | [
"region:us"
] | ITESM | null | null | 0 | 51 | 2022-06-14T22:00:33 | Entry not found | 15 | [
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tarteel-ai/quranqa | 2022-07-27T02:28:31.000Z | [
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"task_ids:extractive-qa",
"annotations_creators:expert-generated",
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"license:cc-by-nd-4.0",
"qu... | tarteel-ai | The absence of publicly available reusable test collections for Arabic question answering on the Holy Qur’an has impeded the possibility of fairly comparing the performance of systems in that domain. In this article, we introduce AyaTEC, a reusable test collection for verse-based question answering on the Holy Qur’an, ... | @article{malhas2020ayatec,
author = {Malhas, Rana and Elsayed, Tamer},
title = {AyaTEC: Building a Reusable Verse-Based Test Collection for Arabic Question Answering on the Holy Qur’an},
year = {2020},
issue_date = {November 2020},
publisher = {Association for Computing Machinery},
address = {Ne... | 6 | 51 | 2022-07-26T20:05:10 | ---
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language:
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language_creators:
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license:
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pretty_name: Qur'anic Reading Comprehension Dataset
size_categories:
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- 1K<n<10K
source_datasets:
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tags:
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- qa
task_categories:
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PlanTL-GOB-ES/WikiCAT_esv2 | 2023-07-27T09:13:16.000Z | [
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"language:es",
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] | PlanTL-GOB-ES | WikiCAT: Text Classification Spanish dataset from the Viquipedia | 0 | 51 | 2022-11-18T10:18:53 | ---
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gokuls/wiki_book_corpus_complete_processed_bert_dataset | 2023-02-25T19:22:14.000Z | [
"region:us"
] | gokuls | null | null | 0 | 51 | 2023-02-25T07:22:50 | ---
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Muennighoff/python-bugs | 2023-03-22T07:46:03.000Z | [
"region:us"
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Heerak/ko_en_parallel_dataset | 2023-04-20T08:51:52.000Z | [
"region:us"
] | Heerak | null | null | 0 | 51 | 2023-04-20T08:27:44 | ---
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omniquad/BioNLP11ID-ggp-IOB | 2023-05-16T11:52:23.000Z | [
"region:us"
] | omniquad | The automatic extraction of chemical information from text requires the recognition of chemical entity mentions as one of its key steps. When developing supervised named entity recognition (NER) systems, the availability of a large, manually annotated text corpus is desirable. Furthermore, large corpora permit the robu... | @article{Krallinger2015TheCC,
title={The CHEMDNER corpus of chemicals and drugs and its annotation principles},
author={Martin Krallinger and Obdulia Rabal and Florian Leitner and Miguel Vazquez and David Salgado and Zhiyong Lu and Robert Leaman and Yanan Lu and Dong-Hong Ji and Daniel M. Lowe and Roger A. Sayle an... | 1 | 51 | 2023-05-16T10:55:32 | Entry not found | 15 | [
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mrm8488/databricks-dolly-15k-curated-es | 2023-06-13T10:42:43.000Z | [
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RIPS-Goog-23/IIT-CDIP | 2023-07-04T15:36:35.000Z | [
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sngsfydy/aptos_test | 2023-07-19T19:19:46.000Z | [
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theoldmandthesea/17k_business_book | 2023-08-20T08:14:02.000Z | [
"region:us"
] | theoldmandthesea | null | null | 0 | 51 | 2023-08-20T01:03:38 | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---
# Dataset Card for Dataset Name
## Dataset Description
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renumics/emodb-enriched | 2023-09-23T08:54:14.000Z | [
"size_categories:n<1K",
"region:us"
] | renumics | null | null | 0 | 51 | 2023-08-25T12:59:02 | ---
size_categories:
- n<1K
dataset_info:
features:
- name: age
dtype: float32
- name: gender
dtype:
class_label:
names:
'0': female
'1': male
- name: emotion
dtype:
class_label:
names:
'0': anger
'1': boredom
'2': disgust... | 2,712 | [
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euclaise/writingprompts | 2023-09-21T19:12:16.000Z | [
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"arxiv:1805.04833",
"region:us"
] | euclaise | null | null | 0 | 51 | 2023-09-21T18:53:34 | ---
language:
- en
license: mit
size_categories:
- 100K<n<1M
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: prompt
dtype: string
- name: story
dtyp... | 837 | [
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juraj-juraj/doc_gen | 2023-09-29T09:10:24.000Z | [
"task_categories:text-generation",
"language:en",
"license:mit",
"region:us"
] | juraj-juraj | null | null | 0 | 51 | 2023-09-28T19:51:32 | ---
language:
- en
license: mit
task_categories:
- text-generation
pretty_name: py_code_doc
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: docstring
dtyp... | 916 | [
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dmrau/trec_dl19-qrels | 2023-10-09T13:07:40.000Z | [
"region:us"
] | dmrau | null | null | 0 | 51 | 2023-10-06T12:41:51 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: query-id
dtype: string
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dtype: string
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splits:
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num_bytes: 242652
num_examples: 9260
download_size: 0
datase... | 508 | [
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kaist-ai/Feedback-Collection | 2023-10-14T14:53:22.000Z | [
"task_categories:text-generation",
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"arxiv:2310.08491",
"region:us"
] | kaist-ai | null | null | 16 | 51 | 2023-10-13T01:17:17 | ---
license: cc-by-4.0
task_categories:
- text-generation
- text-classification
language:
- en
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: "new_feedback_collection.json"
---
## Dataset Description
- **Homepage:https://github.com/kaistAI/Prometheus**
- **Repo... | 4,927 | [
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Lajavaness/STS14-fr | 2023-10-19T23:13:23.000Z | [
"region:us"
] | Lajavaness | null | null | 1 | 51 | 2023-10-19T23:13:07 | Entry not found | 15 | [
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mugithi/ubuntu_question_answer_jsonl | 2023-10-21T19:29:54.000Z | [
"region:us"
] | mugithi | null | null | 1 | 51 | 2023-10-21T19:23:03 | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 2073677
num_examples: 12100
- name: test
num_bytes: 882250
num_examples: 5186
download_size: 0
dataset_size: 2955927
---
# Dataset Card for "ubuntu_question_an... | 464 | [
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finiteautomata/prueba-arg | 2023-10-27T04:34:43.000Z | [
"region:us"
] | finiteautomata | null | null | 0 | 51 | 2023-10-27T02:35:34 | ---
dataset_info:
features:
- name: tweet_id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
- name: url
dtype: string
- name: user
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- name: body
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- name: created_at
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- name: comments
list:
- name: created_... | 708 | [
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hippocrates/CitationGPT_train | 2023-10-30T21:01:22.000Z | [
"region:us"
] | hippocrates | null | null | 0 | 51 | 2023-10-30T20:50:52 | ---
dataset_info:
features:
- name: id
dtype: string
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 443729530
num_examples: 119360
- name: valid
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... | 634 | [
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merve/poetry | 2022-10-25T09:50:55.000Z | [
"region:us"
] | merve | null | null | 14 | 50 | 2022-03-02T23:29:22 | # 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... | 2,810 | [
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philschmid/germeval18 | 2022-02-28T17:14:55.000Z | [
"region:us"
] | philschmid | null | null | 3 | 50 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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SetFit/amazon_reviews_multi_fr | 2022-03-23T15:45:44.000Z | [
"region:us"
] | SetFit | null | null | 0 | 50 | 2022-03-13T02:48:20 | #amazon reviews multi french
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 French language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | 308 | [
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bigscience-data/roots_zh-tw_wikipedia | 2022-12-12T12:09:12.000Z | [
"language:zh",
"license:cc-by-sa-3.0",
"region:us"
] | bigscience-data | null | null | 3 | 50 | 2022-05-18T09:20:00 | ---
language: zh
language_bcp47:
- zh-TW
license: cc-by-sa-3.0
extra_gated_prompt: 'By accessing this dataset, you agree to abide by the BigScience
Ethical Charter. The charter can be found at:
https://hf.co/spaces/bigscience/ethical-charter'
extra_gated_fields:
I have read and agree to abide by the BigScience E... | 3,662 | [
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kqsong/OASum | 2023-07-03T21:02:23.000Z | [
"task_categories:summarization",
"size_categories:1M<n<10M",
"language:en",
"license:cc-by-sa-3.0",
"summarization",
"Wikipedia",
"arxiv:2212.09233",
"region:us"
] | kqsong | null | null | 1 | 50 | 2022-12-27T22:27:17 | ---
license: cc-by-sa-3.0
language:
- en
tags:
- summarization
- Wikipedia
size_categories:
- 1M<n<10M
task_categories:
- summarization
---
# Dataset Card for OASum Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Usage](#dataset-usage)
- [Dataset Structure](#dataset-structure)
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Norod78/microsoft-fluentui-emoji-512-whitebg | 2023-07-16T12:12:01.000Z | [
"task_categories:unconditional-image-generation",
"task_categories:text-to-image",
"size_categories:n<10K",
"language:en",
"license:mit",
"emoji",
"fluentui",
"region:us"
] | Norod78 | null | null | 3 | 50 | 2023-01-01T09:03:35 | ---
language: en
license: mit
size_categories:
- n<10K
task_categories:
- unconditional-image-generation
- text-to-image
pretty_name: Microsoft FluentUI Emoji 512x512 White Background
dataset_info:
features:
- name: text
dtype: string
- name: image
dtype: image
splits:
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num_bytes: 329... | 641 | [
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Dahoas/code-review-instruct-critique-revision-python | 2023-01-08T15:22:19.000Z | [
"region:us"
] | Dahoas | null | null | 5 | 50 | 2023-01-08T15:22:14 | Entry not found | 15 | [
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heegyu/news-category-dataset | 2023-02-09T08:10:48.000Z | [
"license:cc-by-4.0",
"region:us"
] | heegyu | null | null | 0 | 50 | 2023-02-09T08:08:22 | ---
license: cc-by-4.0
---
Dataset from https://www.kaggle.com/datasets/rmisra/news-category-dataset | 101 | [
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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}
} | 1 | 50 | 2023-03-23T09:12:08 | ---
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... | 4,624 | [
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roneneldan/TinyStoriesInstruct | 2023-05-18T21:20:35.000Z | [
"region:us"
] | roneneldan | null | null | 18 | 50 | 2023-05-12T23:44:15 | Entry not found | 15 | [
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llm-book/jawiki-paragraphs | 2023-06-03T03:04:43.000Z | [
"size_categories:1M<n<10M",
"language:ja",
"license:cc-by-sa-3.0",
"license:gfdl",
"region:us"
] | llm-book | null | null | 0 | 50 | 2023-06-03T03:04:05 | ---
language:
- ja
size_categories:
- 1M<n<10M
license:
- cc-by-sa-3.0
- gfdl
dataset_info:
features:
- name: id
dtype: string
- name: pageid
dtype: int64
- name: revid
dtype: int64
- name: paragraph_index
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- name: title
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HydraLM/physics_dataset_standardized | 2023-07-27T17:17:05.000Z | [
"region:us"
] | HydraLM | null | null | 2 | 50 | 2023-07-27T17:16:41 | Entry not found | 15 | [
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PetraAI/PetraAI | 2023-09-14T21:04:52.000Z | [
"task_categories:text-classification",
"task_categories:token-classification",
"task_categories:table-question-answering",
"task_categories:question-answering",
"task_categories:zero-shot-classification",
"task_categories:translation",
"task_categories:summarization",
"task_categories:conversational",... | PetraAI | null | null | 2 | 50 | 2023-08-01T01:34:38 | ---
license: apache-2.0
task_categories:
- text-classification
- token-classification
- table-question-answering
- question-answering
- zero-shot-classification
- translation
- summarization
- conversational
- feature-extraction
- text-generation
- text2text-generation
- fill-mask
- sentence-similarity
- text-to-speech... | 5,299 | [
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hugcyp/LCSTS | 2023-08-16T02:48:38.000Z | [
"region:us"
] | hugcyp | null | null | 1 | 50 | 2023-08-16T01:59:31 | Entry not found | 15 | [
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jingwora/unstructured-data-multilingual | 2023-08-19T03:46:36.000Z | [
"region:us"
] | jingwora | null | null | 0 | 50 | 2023-08-18T08:23:41 | ---
dataset_info:
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-0.041595458984375,
-0.00907... |
allenai/ValuePrism | 2023-09-08T23:05:50.000Z | [
"size_categories:100K<n<1M",
"language:en",
"not-for-all-audiences",
"arxiv:2309.00779",
"arxiv:2304.03738",
"region:us"
] | allenai | null | null | 2 | 50 | 2023-08-22T20:08:41 | ---
configs:
- config_name: full
data_files: full/*csv
default: true
- config_name: mixture
data_files:
- split: train
path: mixture/*train.csv
- split: val
path: mixture/*val.csv
- split: test
path: mixture/*test.csv
- config_name: generative
data_files:
- split: train
path: generative/... | 9,129 | [
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vladisha3000/Icons | 2023-08-31T14:15:43.000Z | [
"region:us"
] | vladisha3000 | null | null | 0 | 50 | 2023-08-31T14:05:13 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 2195425.0
num_examples: 999
download_size: 2268449
dataset_size: 2195425.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset ... | 469 | [
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open-llm-leaderboard/details_tiiuae__falcon-180B | 2023-10-24T10:18:04.000Z | [
"region:us"
] | open-llm-leaderboard | null | null | 1 | 50 | 2023-09-05T08:24:35 | ---
pretty_name: Evaluation run of tiiuae/falcon-180B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [tiiuae/falcon-180B](https://huggingface.co/tiiuae/falcon-180B) on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe d... | 104,478 | [
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jpawan33/fkr30k-image-captioning-dataset | 2023-09-09T04:17:11.000Z | [
"region:us"
] | jpawan33 | null | null | 1 | 50 | 2023-09-06T19:00:10 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 1625135945.608
num_examples: 31782
download_size: 1621386563
dataset_size: 1625135945.608... | 510 | [
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0.00076675... |
yzhuang/autotree_automl_100000_eye_movements_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T03:05:45.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 50 | 2023-09-08T03:05:03 | ---
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... | 855 | [
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0.0009... |
yzhuang/autotree_automl_100000_default-of-credit-card-clients_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T04:55:50.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 50 | 2023-09-08T04:55:18 | ---
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
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sequence: flo... | 872 | [
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0.002... |
MU-NLPC/Calc-mawps | 2023-10-30T15:55:30.000Z | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"math world problems",
"math",
"arithmetics",
"arxiv:2305.15017",
"region:us"
] | MU-NLPC | null | null | 0 | 50 | 2023-09-08T21:19:20 | ---
language:
- en
license: mit
size_categories:
- 1K<n<10K
task_categories:
- text-generation
tags:
- math world problems
- math
- arithmetics
dataset_info:
- config_name: default
features:
- name: id
dtype: string
- name: question
dtype: string
- name: chain
dtype: string
- name: result
dtyp... | 5,878 | [
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0... |
HydraLM/corpus_1_clustered_formatted | 2023-09-17T22:31:14.000Z | [
"region:us"
] | HydraLM | null | null | 0 | 50 | 2023-09-17T22:24:57 | ---
configs:
- config_name: default
data_files:
- split: '0'
path: data/0-*
- split: '1'
path: data/1-*
- split: '2'
path: data/2-*
- split: '3'
path: data/3-*
- split: '4'
path: data/4-*
- split: '5'
path: data/5-*
- split: '6'
path: data/6-*
- split: '7'
path: data/7-... | 3,541 | [
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mmnga/wikipedia-ja-20230720-2k | 2023-09-25T08:20:29.000Z | [
"region:us"
] | mmnga | null | null | 0 | 50 | 2023-09-25T07:51:08 | ---
dataset_info:
features:
- name: curid
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 5492016.948562663
num_examples: 2048
download_size: 3161030
dataset_size: 5492016.948562663
configs:
- config_name: default
data_files:
... | 836 | [
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-0.041900634765625,
-0.000334... |
bobbybelajar/Llama2SummaryPlusSentiment | 2023-09-30T06:06:11.000Z | [
"region:us"
] | bobbybelajar | null | null | 0 | 50 | 2023-09-30T06:05:45 | Entry not found | 15 | [
[
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-0.060455322265625,
0.03793334... |
dmrau/trec_dl19 | 2023-10-09T13:07:39.000Z | [
"region:us"
] | dmrau | null | null | 0 | 50 | 2023-10-06T12:41:13 | ---
configs:
- config_name: default
data_files:
- split: queries
path: data/queries-*
- split: corpus
path: data/corpus-*
dataset_info:
features:
- name: _id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: queries
num_bytes: 2194
num_exa... | 609 | [
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augustoperes/mtg_text | 2023-10-18T14:34:55.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"region:us"
] | augustoperes | null | null | 0 | 50 | 2023-10-09T16:02:55 | ---
task_categories:
- text-generation
language:
- en
size_categories:
- 10K<n<100K
---
# Magic the gathering dataset
This dataset contains text of all magic the gathering cards.
Example usage:
```python
from datasets import load_dataset
dataset = load_dataset('augustoperes/mtg_text')
dataset
# outputs:
# DatasetD... | 2,824 | [
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... |
hdparmar/itt_specdata | 2023-10-15T02:12:42.000Z | [
"task_categories:text-to-image",
"task_categories:text-to-audio",
"license:apache-2.0",
"region:us"
] | hdparmar | null | null | 0 | 50 | 2023-10-11T21:00:34 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 6043862350.049
num_examples: 51217
download_size: 6011357718
dataset_size: 6043862350.049
configs:
- config_name: default
data_files:
- split: train
path: data/train-*... | 2,919 | [
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... |
chirunder/MixAtis_for_DecoderOnly_90-10_split | 2023-10-18T06:10:23.000Z | [
"region:us"
] | chirunder | null | null | 0 | 50 | 2023-10-17T15:01:15 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 13373152.39074139
... | 661 | [
[
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0.0760498046875,
0.0266876220703125,
-0.064697265625,
-0.035125732421875,
-0.047698974609375,... |
KonstantyM/science_qa_prep | 2023-10-20T21:48:48.000Z | [
"region:us"
] | KonstantyM | null | null | 0 | 50 | 2023-10-20T21:38:48 | ---
dataset_info:
features:
- name: input
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 7447742737
num_examples: 4281664
download_size: 4325444802
dataset_size: 7447742737
---
# Dataset Card for "science_qa_prep"
[More Information needed](https://github.com/hu... | 404 | [
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... |
hlhdatscience/guanaco-spanish-dataset | 2023-10-21T11:19:21.000Z | [
"language:es",
"license:apache-2.0",
"region:us"
] | hlhdatscience | null | null | 0 | 50 | 2023-10-21T10:53:04 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 4384495
num_examples: 2410
- name: test
num_bytes: 376933
num_examples: 223
... | 1,269 | [
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... |
Lornng/cpgQA-textcol-splitted | 2023-10-24T10:33:46.000Z | [
"region:us"
] | Lornng | null | null | 0 | 50 | 2023-10-23T17:19:25 | Entry not found | 15 | [
[
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0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
rjaiswal/friends-dataset | 2023-10-25T16:32:38.000Z | [
"region:us"
] | rjaiswal | null | null | 0 | 50 | 2023-10-25T09:35:10 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 217527103.0
num_examples: 30
download_size: 217511845
dataset_size: 217527103.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dat... | 484 | [
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-0.0416259765625,
-0.037506103515625,
-0.0065... |
fuliucansheng/pascal_voc | 2022-01-31T14:54:11.000Z | [
"region:us"
] | fuliucansheng | PASCAL_VOC | PASCAL_VOC | 0 | 49 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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-0.014984130859375,
-0.060394287109375,
0.0379... |
persiannlp/parsinlu_sentiment | 2022-10-22T15:13:40.000Z | [
"task_ids:sentiment-analysis",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|translated|mnli",
"language:fa",
"license:cc-by-nc-sa-4.0",
"arxiv:2012.06154",
"region:us"
] | persiannlp | A Persian sentiment analysis task (deciding whether a given sentence contains a particular sentiment). | @article{huggingface:dataset,
title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian,... | 4 | 49 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- fa
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- extended|translated|mnli
task_categories:
- sentiment-analysis
task_ids:
- sentiment-analysis
---
# Dataset Card for... | 4,906 | [
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0.0321044921875,
-0.051788330078125,
-0.08013916015625,
-0.0406494140625,
0.02671... |
patriziobellan/PET | 2023-07-05T14:03:24.000Z | [
"task_categories:token-classification",
"size_categories:n<1K",
"language:en",
"license:mit",
"Business Process Management",
"NLP",
"ML",
"DL",
"arxiv:2203.04860",
"region:us"
] | patriziobellan | Abstract. Although there is a long tradition of work in NLP on extracting entities and relations from text, to date there exists little work on the acquisition of business processes from unstructured data such as textual corpora of process descriptions. With this work we aim at filling this gap and establishing the fir... | @inproceedings{DBLP:conf/bpm/BellanADGP22,
author = {Patrizio Bellan and
Han van der Aa and
Mauro Dragoni and
Chiara Ghidini and
Simone Paolo Ponzetto},
editor = {Cristina Cabanillas and
Niels Frederik Garmann{-}Jo... | 6 | 49 | 2022-04-14T09:35:11 | ---
license: mit
task_categories:
- token-classification
language:
- en
tags:
- Business Process Management
- NLP
- ML
- DL
pretty_name: PET
size_categories:
- n<1K
---
# PET: A NEW DATASET FOR PROCESS EXTRACTION FROM TEXT
# Dataset Card for PET
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Datas... | 17,739 | [
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0.014... |
juletxara/tydiqa_xtreme | 2022-07-01T19:19:05.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:extended|wikipedia",
"language:en",
"language:ar",
"language:bn",
"language:fi",
"l... | juletxara | TyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs.
The languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language
expresses -- such that we expect models performing well on this set to generalize a... | @article{tydiqa,
title = {TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages},
author = {Jonathan H. Clark and Eunsol Choi and Michael Collins and Dan Garrette and Tom Kwiatkowski and Vitaly Nikolaev and Jennimaria Palomaki}
year = {2020},
journal = {Transactions of... | 1 | 49 | 2022-06-08T10:42:42 | ---
pretty_name: TyDi QA
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
- ar
- bn
- fi
- id
- ja
- sw
- ko
- ru
- te
- th
license:
- apache-2.0
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
ta... | 10,022 | [
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andreagasparini/librispeech_test_only | 2022-07-06T17:26:04.000Z | [
"region:us"
] | andreagasparini | 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--... | 1 | 49 | 2022-07-06T17:13:36 | Entry not found | 15 | [
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CarperAI/pile-v2-small-filtered | 2022-12-06T14:16:11.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:unknown",
"language:en",
"language:code",
"region:us"
] | CarperAI | null | null | 8 | 49 | 2022-12-06T06:08:44 | ---
annotations_creators: []
language_creators:
- crowdsourced
language: ["en","code"]
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets: []
task_categories:
- text-generation
task_ids:
- language-modeling
---
## Dataset Description
A small subset in each dataset of `pile-v2`(~1000 samples) ... | 1,239 | [
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... |
oaimli/PeerSum | 2023-10-08T05:31:38.000Z | [
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"arxiv:2305.01498",
"region:us"
] | oaimli | null | null | 1 | 49 | 2023-05-03T00:12:05 | ---
license: apache-2.0
task_categories:
- summarization
language:
- en
pretty_name: PeerSum
size_categories:
- 10K<n<100K
---
This is PeerSum, a multi-document summarization dataset in the peer-review domain. More details can be found in the paper accepted at EMNLP 2023, [Summarizing Multiple Documents with Conversat... | 1,595 | [
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... |
sharmaarushi17/HPCPerfOpt-MCQA | 2023-11-01T22:51:39.000Z | [
"license:cc",
"region:us"
] | sharmaarushi17 | null | null | 0 | 49 | 2023-07-03T19:54:08 | ---
license: cc
pretty_name: HPCPerfOpt (HPC Performance Optimization Benchmark) # Example: SQuAD
# configs:
# - mcq-single
# - mcq-multiple
# - rodinia-chatgpt-mcq
# dataset_info:
# # features:
# # - name: {feature_name_0} # Example: id
# # dtype: {feature_dtype_0} # Example: int32
# #... | 1,958 | [
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nlplabtdtu/health_qa | 2023-08-04T03:52:32.000Z | [
"region:us"
] | nlplabtdtu | null | null | 1 | 49 | 2023-08-04T03:48:52 | Entry not found | 15 | [
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0... |
thr10/code-ins-python-mix-100k-v1 | 2023-08-31T14:07:20.000Z | [
"region:us"
] | thr10 | null | null | 1 | 49 | 2023-08-31T14:07:11 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 227488110.0
num_examples: 163747
download_size: 107640410
dataset_size: 227488110.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "code-ins-pytho... | 467 | [
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... |
yzhuang/autotree_automl_100000_credit_sgosdt_l256_dim10_d3_sd0 | 2023-09-07T19:45:41.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 49 | 2023-09-07T19:45:08 | ---
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... | 848 | [
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0.028564453125,
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-0.043670654296875,
-0.046844482421875,
0.00143337... |
jinaai/big-patent-clustering | 2023-09-26T10:53:01.000Z | [
"language:en",
"license:cc-by-4.0",
"region:us"
] | jinaai | null | null | 0 | 49 | 2023-09-13T08:09:11 | ---
license: cc-by-4.0
language:
- en
---
# Big Patent Clustering Dataset
This dataset is created for patent classification. It is derived from the [big patent dataset](https://huggingface.co/datasets/big_patent) but only contains a subset of the test set of the original dataset.
The subsets contain only patents whic... | 382 | [
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NusaCrowd/nergrit | 2023-09-26T12:35:09.000Z | [
"language:ind",
"license:mit",
"named-entity-recognition",
"region:us"
] | NusaCrowd | Nergrit Corpus is a dataset collection of Indonesian Named Entity Recognition (NER), Statement Extraction,
and Sentiment Analysis developed by PT Gria Inovasi Teknologi (GRIT).
The Named Entity Recognition contains 18 entities as follow:
'CRD': Cardinal
'DAT': Date
'EVT': Event
'FAC': Facility
'GPE'... | @misc{Fahmi_NERGRIT_CORPUS_2019,
author = {Fahmi, Husni and Wibisono, Yudi and Kusumawati, Riyanti},
title = {{NERGRIT CORPUS}},
url = {https://github.com/grit-id/nergrit-corpus},
year = {2019}
} | 0 | 49 | 2023-09-26T11:18:07 | ---
license: mit
tags:
- named-entity-recognition
language:
- ind
---
# nergrit
Nergrit Corpus is a dataset collection of Indonesian Named Entity Recognition (NER), Statement Extraction,
and Sentiment Analysis developed by PT Gria Inovasi Teknologi (GRIT).
The Named Entity Recognition contains 18 entities as follow... | 1,344 | [
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peterschmidt85/samsum | 2023-09-30T17:06:11.000Z | [
"region:us"
] | peterschmidt85 | null | null | 0 | 49 | 2023-09-30T17:05:57 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 10789305
num_examples: 14732
download_size: 5844166
dataset_size: 10789305
---
# Dataset Card for "samsum"
[More Informat... | 437 | [
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Intuit-GenSRF/jigsaw-toxic-comment | 2023-10-04T23:28:45.000Z | [
"region:us"
] | Intuit-GenSRF | null | null | 0 | 49 | 2023-10-04T23:28:42 | ---
dataset_info:
features:
- name: text
dtype: string
- name: labels
sequence: string
splits:
- name: train
num_bytes: 64586545
num_examples: 159571
download_size: 41105413
dataset_size: 64586545
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# D... | 491 | [
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nc33/task1 | 2023-10-09T03:18:30.000Z | [
"region:us"
] | nc33 | null | null | 0 | 49 | 2023-10-09T03:17:28 | ---
dataset_info:
config_name: train
features:
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 1734562359
num_examples: 1236607
download_size: 288424748
dataset_size: 1734562359
configs:
- config_name: train
data_files:
- split: train
pat... | 500 | [
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miojizzy/genshin_artifact_recognize_datasets | 2023-10-15T14:03:39.000Z | [
"region:us"
] | miojizzy | Monster Hunter Rise images and labels. | null | 0 | 49 | 2023-10-09T06:14:27 | Entry not found | 15 | [
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0.03790283... |
zhen-dong-nexusflow/multi_cvecpe_apis_nested | 2023-10-27T00:52:47.000Z | [
"region:us"
] | zhen-dong-nexusflow | null | null | 0 | 49 | 2023-10-14T21:00:00 | Entry not found | 15 | [
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minea/test01 | 2023-10-19T14:54:18.000Z | [
"region:us"
] | minea | null | null | 0 | 49 | 2023-10-19T08:26:49 | Entry not found | 15 | [
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0.0379... |
Lajavaness/STS13-fr | 2023-10-19T23:12:40.000Z | [
"region:us"
] | Lajavaness | null | null | 1 | 49 | 2023-10-19T23:12:19 | Entry not found | 15 | [
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norwegian_ner | 2023-01-25T14:41:45.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:no",
"license:unknown",
"region:us"
] | null | Named entities Recognition dataset for Norwegian. It is
a version of the Universal Dependency (UD) Treebank for both Bokmål and Nynorsk (UDN) where
all proper nouns have been tagged with their type according to the NER tagging scheme. UDN is a converted
version of the Norwegian Dependency Treebank into the UD scheme. | @inproceedings{johansen2019ner,
title={Named-Entity Recognition for Norwegian},
author={Johansen, Bjarte},
booktitle={Proceedings of the 22nd Nordic Conference on Computational Linguistics, NoDaLiDa},
year={2019}
} | 0 | 48 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- 'no'
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: Norwegian NER
dataset_info... | 6,623 | [
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0.... |
alexantonov/chuvash_parallel | 2022-10-24T15:26:28.000Z | [
"multilinguality:translation",
"source_datasets:original",
"language:cv",
"region:us"
] | alexantonov | null | null | 4 | 48 | 2022-03-02T23:29:22 | ---
language:
- cv
multilinguality:
- translation
source_datasets:
- original
task_ids:
- machine-translation
---
# Dataset Description
## Chuvash-Russian parallel corpus
1M parallel sentences. Manually aligned
## Chuvash-English parallel corpus.
200K parallel sentences. Automatically aligned
## Contributions
Fo... | 392 | [
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aliabd/crowdsourced-speech4 | 2022-01-21T17:36:51.000Z | [
"region:us"
] | aliabd | null | null | 0 | 48 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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teven/c4_15M | 2021-12-06T03:44:05.000Z | [
"region:us"
] | teven | null | null | 1 | 48 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Team-PIXEL/rendered-wikipedia-english | 2022-08-02T14:01:21.000Z | [
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:cc-by-sa-3.0",
"license:gfdl",
"arxiv:2207.06991",
"region:us"
] | Team-PIXEL | null | null | 2 | 48 | 2022-05-11T14:52:06 | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gfdl
multilinguality:
- monolingual
pretty_name: Team-PIXEL/rendered-wikipedia-english
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- masked-auto-encoding
- rendered-languag... | 6,572 | [
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0... |
SetFit/wsc | 2022-06-10T13:59:09.000Z | [
"region:us"
] | SetFit | null | null | 0 | 48 | 2022-06-10T13:57:36 | # Glue WSC
This dataset is a port of the official [`wsc` dataset](https://huggingface.co/datasets/super_glue) on the Hub.
Also, the test split is not labeled; the label column values are always -1.
| 200 | [
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-0.00... |
Bingsu/namuwiki_20210301_filtered | 2022-10-14T07:49:53.000Z | [
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:masked-language-modeling",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"langua... | Bingsu | null | null | 4 | 48 | 2022-07-14T02:18:12 | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- ko
license:
- cc-by-nc-sa-2.0
multilinguality:
- monolingual
pretty_name: Namuwiki database dump (2021-03-01)
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- fill-mask
- text-generation
task_ids:
- masked... | 4,931 | [
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allenai/csabstruct | 2022-11-02T17:54:38.000Z | [
"license:apache-2.0",
"arxiv:1909.04054",
"region:us"
] | allenai | As a step toward better document-level understanding, we explore classification of a sequence of sentences into their corresponding categories, a task that requires understanding sentences in context of the document. Recent successful models for this task have used hierarchical models to contextualize sentence represen... | @inproceedings{Cohan2019EMNLP,
title={Pretrained Language Models for Sequential Sentence Classification},
author={Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Dan Weld},
year={2019},
booktitle={EMNLP},
} | 2 | 48 | 2022-11-02T17:15:53 | ---
license: apache-2.0
---
# CSAbstruct
CSAbstruct was created as part of *"Pretrained Language Models for Sequential Sentence Classification"* ([ACL Anthology][2], [arXiv][1], [GitHub][6]).
It contains 2,189 manually annotated computer science abstracts with sentences annotated according to their rhetorical roles... | 2,896 | [
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AndyReas/frontpage-news | 2023-04-28T14:32:11.000Z | [
"task_categories:text-generation",
"size_categories:10M<n<100M",
"language:en",
"license:mit",
"region:us"
] | AndyReas | null | null | 2 | 48 | 2023-03-01T12:26:53 | ---
license: mit
task_categories:
- text-generation
language:
- en
size_categories:
- 10M<n<100M
---
# Frontpage News
## The Data
The data consists of ~13,000,000 English articles from ~90 outlets. The articles were collected from the [Sciride News Mine](http://sciride.org/news.html), after which some additional clea... | 3,611 | [
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Nahrawy/VIDIT-Depth-ControlNet | 2023-05-06T17:54:43.000Z | [
"region:us"
] | Nahrawy | null | null | 0 | 48 | 2023-04-23T18:38:24 | ---
dataset_info:
features:
- name: scene
dtype: string
- name: image
dtype: image
- name: depth_map
dtype: image
- name: direction
dtype: string
- name: temprature
dtype: int32
- name: caption
dtype: string
splits:
- name: train
num_bytes: 20575644792.0
num_examples: 1... | 1,401 | [
[
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abokbot/wikipedia-first-paragraph | 2023-06-04T10:58:32.000Z | [
"language:en",
"wikipedia",
"region:us"
] | abokbot | null | null | 0 | 48 | 2023-06-04T10:06:17 | ---
language:
- en
tags:
- wikipedia
---
# Dataset Description
This dataset contains the first paragraph of cleaned Wikipedia articles in English.
It was obtained by transorming the [Wikipedia](https://huggingface.co/datasets/wikipedia) "20220301.en" dataset as follows:
```python
from datasets import load_dataset
... | 1,976 | [
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Patt/RTE_TH | 2023-06-14T16:51:34.000Z | [
"task_categories:text-classification",
"language:en",
"language:th",
"arxiv:1907.04307",
"region:us"
] | Patt | null | null | 0 | 48 | 2023-06-12T11:40:00 | ---
task_categories:
- text-classification
language:
- en
- th
---
# Dataset Card for RTE_TH
### Dataset Description
This dataset is Thai translated version of [RTE](https://huggingface.co/datasets/super_glue/viewer/rte) using google translate with [Multilingual Universal Sentence Encoder](https://arxiv.org/abs/1907.... | 368 | [
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openaccess-ai-collective/chatbot-arena-elo-scores | 2023-06-23T19:57:16.000Z | [
"region:us"
] | openaccess-ai-collective | null | null | 0 | 48 | 2023-06-17T23:31:18 | ---
dataset_info:
features:
- name: elo_score
dtype: float64
- name: chatbot_name
dtype: string
splits:
- name: train
num_bytes: 359
num_examples: 14
download_size: 1669
dataset_size: 359
---
# Dataset Card for "chatbot-arena-elo-scores"
[More Information needed](https://github.com/huggin... | 400 | [
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KaiLv/UDR_Amazon | 2023-06-21T12:23:17.000Z | [
"region:us"
] | KaiLv | null | null | 0 | 48 | 2023-06-21T12:22:34 | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: label
dtype: int64
- name: headline
dtype: string
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 13936883
num_examples: 30000
- name: test
num_bytes: 1382953
num_examples: 3000
- name: debug
... | 584 | [
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Abdelkareem/arabic_tweets_classification | 2023-07-09T10:01:29.000Z | [
"region:us"
] | Abdelkareem | null | null | 0 | 48 | 2023-07-09T09:58:56 | ---
dataset_info:
features:
- name: Date
dtype: string
- name: Time
dtype: string
- name: Date Time
dtype: string
- name: URL
dtype: string
- name: Tweet Text
dtype: string
- name: Cleaned Text
dtype: string
- name: User Name
dtype: string
- name: Location
dtype: string... | 979 | [
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ds4sd/DocLayNet-v1.1 | 2023-09-01T09:58:52.000Z | [
"task_categories:object-detection",
"task_categories:image-segmentation",
"task_ids:instance-segmentation",
"annotations_creators:crowdsourced",
"size_categories:10K<n<100K",
"license:other",
"layout-segmentation",
"COCO",
"document-understanding",
"PDF",
"region:us"
] | ds4sd | null | null | 1 | 48 | 2023-08-17T13:10:53 | ---
annotations_creators:
- crowdsourced
license: other
pretty_name: DocLayNet
size_categories:
- 10K<n<100K
tags:
- layout-segmentation
- COCO
- document-understanding
- PDF
task_categories:
- object-detection
- image-segmentation
task_ids:
- instance-segmentation
dataset_info:
features:
- name: image
dtype: i... | 6,377 | [
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tim9510019/llama2_QA_Economics_230915 | 2023-11-03T00:42:13.000Z | [
"task_categories:question-answering",
"task_categories:text-generation",
"language:en",
"license:mit",
"finance",
"region:us"
] | tim9510019 | null | null | 2 | 48 | 2023-09-15T11:09:29 | ---
dataset_info:
features:
- name: Question
dtype: string
- name: input
dtype: string
- name: Answer
dtype: string
- name: Source
dtype: int64
- name: Date
dtype: timestamp[ns]
- name: Type
dtype: int64
- name: Prompt
dtype: int64
- name: QuestionTokenNum
dtype: int64
... | 892 | [
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