Dataset Viewer
_id
stringlengths 24
24
| id
stringlengths 5
121
| author
stringlengths 2
42
| cardData
stringlengths 2
1.09M
| disabled
bool 2
classes | gated
stringclasses 3
values | lastModified
timestamp[ns]date 2021-02-05 16:03:35
2025-07-11 13:11:24
| likes
int64 0
8.26k
| trendingScore
float64 0
118
| private
bool 1
class | sha
stringlengths 40
40
| description
stringlengths 0
6.67k
⌀ | downloads
int64 0
2.9M
| downloadsAllTime
int64 0
142M
| tags
listlengths 1
7.92k
| createdAt
timestamp[ns]date 2022-03-02 23:29:22
2025-07-11 13:11:20
| citation
stringlengths 0
10.7k
⌀ | paperswithcode_id
stringclasses 673
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
63990f21cc50af73d29ecfa3 | fka/awesome-chatgpt-prompts | fka | {"license": "cc0-1.0", "tags": ["ChatGPT"], "task_categories": ["question-answering"], "size_categories": ["100K<n<1M"]} | false | False | 2025-01-06T00:02:53 | 8,262 | 118 | false | 68ba7694e23014788dcc8ab5afe613824f45a05c | 🧠 Awesome ChatGPT Prompts [CSV dataset]
This is a Dataset Repository of Awesome ChatGPT Prompts
View All Prompts on GitHub
License
CC-0
| 27,262 | 208,573 | [
"task_categories:question-answering",
"license:cc0-1.0",
"size_categories:n<1K",
"format:csv",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"ChatGPT"
]
| 2022-12-13T23:47:45 | null | null |
6867333920521a7f4c7ff024 | hackaprompt/Pliny_HackAPrompt_Dataset | hackaprompt | {"task_categories": ["text-generation"], "language": ["en"], "tags": ["redteaming", "safety", "prompt-injections", "jailbreaks"], "pretty_name": "Pliny_HackAPrompt_Dataset", "size_categories": ["10K<n<100K"]} | false | auto | 2025-07-11T00:55:39 | 81 | 81 | false | dfd651bd6a1b72e8e24599e875059f70fc77cc62 |
Pliny Challenges README
Welcome to the Pliny X HackAPrompt Dataset! We open source all submissions to the Pliny X HackAPrompt competition track. Here's what you need to know about the data and how to work with it.
If you're interested in learning more about this dataset and other HackAPrompt offerings and events, please reach out to [email protected] .
In the Pliny track, there are 12 challenges, of which 3 are image-only challenges (pliny_6_challenge, pliny_7_challenge… See the full description on the dataset page: https://huggingface.co/datasets/hackaprompt/Pliny_HackAPrompt_Dataset. | 1,209 | 1,209 | [
"task_categories:text-generation",
"language:en",
"size_categories:10K<n<100K",
"format:arrow",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"redteaming",
"safety",
"prompt-injections",
"jailbreaks"
]
| 2025-07-04T01:49:45 | null | null |
6718c7eb95693d6c54671278 | marcelbinz/Psych-101 | marcelbinz | {"license": "apache-2.0", "language": ["en"], "tags": ["Psychology"], "pretty_name": "Psych-101", "size_categories": ["100B<n<1T"]} | false | False | 2024-11-02T16:43:37 | 89 | 34 | false | 611565c66395e2787cd7e3305149bb75dc138024 |
Dataset Summary
Psych-101 is a data set of natural language transcripts from human psychological experiments.
It comprises trial-by-trial data from 160 psychological experiments and 60,092 participants, making 10,681,650 choices.
Human choices are encapsuled in "<<" and ">>" tokens.
Paper: Centaur: a foundation model of human cognition
Point of Contact: Marcel Binz
Example Prompt
You will be presented with triplets of objects, which will be assigned to the keys D… See the full description on the dataset page: https://huggingface.co/datasets/marcelbinz/Psych-101. | 1,393 | 2,985 | [
"language:en",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2410.20268",
"region:us",
"Psychology"
]
| 2024-10-23T09:54:51 | null | null |
6751d39f333cc16b83338960 | HuggingFaceFW/fineweb-2 | HuggingFaceFW | "{\"license\": \"odc-by\", \"task_categories\": [\"text-generation\"], \"language\": [\"aai\", \"aak(...TRUNCATED) | false | False | 2025-06-27T00:43:27 | 588 | 30 | false | a8a99b128121a41b17d95901715603386f6b1daf | "\n\t\n\t\t\n\t\t🥂 FineWeb2\n\t\n\n\n \n\n\n\nA sparkling update with 1000s of languages\n\n\n(...TRUNCATED) | 480,742 | 887,205 | ["task_categories:text-generation","language:aai","language:aak","language:aau","language:aaz","lang(...TRUNCATED) | 2024-12-05T16:23:59 | null | null |
6791fcbb49c4df6d798ca7c9 | cais/hle | cais | "{\"license\": \"mit\", \"dataset_info\": {\"features\": [{\"name\": \"id\", \"dtype\": \"string\"},(...TRUNCATED) | false | auto | 2025-05-20T21:28:17 | 400 | 25 | false | 021a3d71f516a7ac28ceb8d284969902edf1edeb | "\n\n\n\t\n\t\t\n\t\tHumanity's Last Exam\n\t\n\n🌐 Website | 📄 Paper | GitHub\nCenter for AI (...TRUNCATED) | 8,082 | 39,537 | ["license:mit","size_categories:1K<n<10K","format:parquet","modality:image","modality:text","library(...TRUNCATED) | 2025-01-23T08:24:27 | null | null |
6858e379f9dc599076596798 | facebook/seamless-interaction | facebook | "{\"license\": \"cc-by-nc-4.0\", \"configs\": [{\"config_name\": \"improvised\", \"data_files\": [{\(...TRUNCATED) | false | False | 2025-06-27T15:55:31 | 97 | 24 | false | 4632fa0baced57b691df6ceecca406109f5ceeae | "\n\nSeamless Interaction Dataset\n\n\n\nA large-scale multimodal dataset of 4,000+ hours of human i(...TRUNCATED) | 71,862 | 71,862 | ["license:cc-by-nc-4.0","modality:audio","modality:video","library:webdataset","region:us","webdatas(...TRUNCATED) | 2025-06-23T05:17:45 | null | null |
683fd7b68de3ffc58390f5e2 | XenArcAI/MathX-5M | XenArcAI | "{\"license\": \"mit\", \"tags\": [\"Mathematics\", \"XenArcAI\", \"High-Performance-Math\", \"Spars(...TRUNCATED) | false | False | 2025-07-09T04:59:04 | 26 | 21 | false | dc77ef74b7ccb3f6de89d74e44519bb2d7e6473d | "\n\t\n\t\t\n\t\tXenArcAI\n\t\n\n\n\n \n\n\n\nNote : This datset is the part of a lineup MathX by X(...TRUNCATED) | 2,910 | 3,257 | ["task_categories:text2text-generation","task_categories:question-answering","task_categories:text-g(...TRUNCATED) | 2025-06-04T05:20:54 | null | null |
685429633d7a2e485b1ad7a5 | GPUMODE/kernelbot-data | GPUMODE | "{\"configs\": [{\"config_name\": \"submissions\", \"data_files\": \"submissions.parquet\"}, {\"conf(...TRUNCATED) | false | False | 2025-06-24T15:38:47 | 23 | 21 | false | ef1cf32f093889253ff055c63296e86be02c2f42 | "If you use GPUMODE/amd-kernels-2025 in your work, please cite:\n@inproceedings{\n zhang2025kernelb(...TRUNCATED) | 730 | 730 | ["license:mit","size_categories:10K<n<100K","format:parquet","modality:tabular","modality:text","lib(...TRUNCATED) | 2025-06-19T15:14:43 | null | null |
6831218309a930f3c0a9e28e | institutional/institutional-books-1.0 | institutional | "{\"extra_gated_heading\": \"You need to agree to share your contact information to access this data(...TRUNCATED) | false | auto | 2025-06-16T13:38:17 | 228 | 16 | false | d2f504a112fa057ddd2bc536188535a674a90270 | "\n\t\n\t\t\n\t\t📚 Institutional Books 1.0\n\t\n\nInstitutional Books is a growing corpus of publ(...TRUNCATED) | 47,098 | 47,296 | ["size_categories:100K<n<1M","format:parquet","modality:tabular","modality:text","library:datasets",(...TRUNCATED) | 2025-05-24T01:31:47 | null | null |
6863417bee0f8f0d3d1f7223 | sequelbox/Celestia3-DeepSeek-R1-0528 | sequelbox | "{\"license\": \"apache-2.0\", \"tags\": [\"celestia\", \"celestia-3\", \"chat\", \"chat-instruct\",(...TRUNCATED) | false | False | 2025-07-03T02:11:15 | 29 | 16 | false | fedb8372195a7038fa07835ae6e52092a4468d7f | "Click here to support our open-source dataset and model releases!\nCelestia3-DeepSeek-R1-0528 is a (...TRUNCATED) | 808 | 808 | ["task_categories:text-generation","language:en","license:apache-2.0","size_categories:10K<n<100K","(...TRUNCATED) | 2025-07-01T02:01:31 | null | null |
End of preview. Expand
in Data Studio
Changelog
NEW Changes July 9th
- Fixed issue with
ggufcolumn with integer overflow causing import pipeline to be broken over a few weeks ✅
NEW Changes Feb 27th
Added new fields on the
modelssplit:downloadsAllTime,safetensors,ggufAdded new field on the
datasetssplit:downloadsAllTimeAdded new split:
paperswhich is all of the Daily Papers
Updated Daily
- Downloads last month
- 2,514
Data Sourcing report
powered
by
Spawning.aiNo elements in this dataset have been identified as either opted-out, or opted-in, by their creator.