sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b86b4782e41740c7596d5acb6adec8eac1f14a8c |
Alpha version of some form of anime-bench
** This needs more data, if you have anime QA in text format, send it
200 questions, would consider the easy version of anime bench, as its just anime trivia,
anime challenge should be deeper into the lore of several anime, maybe even iceberg chart stuff
dataset rn:
- 25%... | VatsaDev/animebench-alpha | [
"language:en",
"license:mit",
"region:us"
] | 2024-02-07T23:30:47+00:00 | {"language": ["en"], "license": "mit"} | 2024-02-13T15:11:21+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #region-us
|
Alpha version of some form of anime-bench
This needs more data, if you have anime QA in text format, send it
200 questions, would consider the easy version of anime bench, as its just anime trivia,
anime challenge should be deeper into the lore of several anime, maybe even iceberg chart stuff
dataset rn:
- 25% o... | [] | [
"TAGS\n#language-English #license-mit #region-us \n"
] | [
15
] | [
"passage: TAGS\n#language-English #license-mit #region-us \n"
] |
669a86e3d1b71f157c37060433f4cd8d564582b5 | # Dataset Card for "VNTL-v3.1-1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lmg-anon/VNTL-v3.1-1k | [
"region:us"
] | 2024-02-07T23:34:24+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "ignore_loss", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 31045416, "num_example... | 2024-02-07T23:34:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VNTL-v3.1-1k"
More Information needed | [
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a14d27956a816dbb441515c1b732465fe5064092 |
Adapter by: Aisuko
Only for researching.
| aisuko/quora_duplicate_questions | [
"language:en",
"license:mit",
"region:us"
] | 2024-02-07T23:39:15+00:00 | {"language": ["en"], "license": "mit"} | 2024-02-07T23:42:21+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #region-us
|
Adapter by: Aisuko
Only for researching.
| [] | [
"TAGS\n#language-English #license-mit #region-us \n"
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352583b3843447ae21886e9ee745906734f4aa2f |
# Description
This dataset contains csv's from the Lex Fridman podcast transcripts provided by [Whispering-GPT](https://huggingface.co/datasets/Whispering-GPT/lex-fridman-podcast).
I split the episode transcripts into parent and child chunks for use with RAG.
The parent chunks is size 500 and the child is size 50. The... | jaiw/lex_fridman_podcast_embeddings | [
"task_categories:question-answering",
"license:apache-2.0",
"region:us"
] | 2024-02-07T23:42:28+00:00 | {"license": "apache-2.0", "task_categories": ["question-answering"]} | 2024-02-08T00:04:25+00:00 | [] | [] | TAGS
#task_categories-question-answering #license-apache-2.0 #region-us
|
# Description
This dataset contains csv's from the Lex Fridman podcast transcripts provided by Whispering-GPT.
I split the episode transcripts into parent and child chunks for use with RAG.
The parent chunks is size 500 and the child is size 50. The children come with embeddings using OpenAI 'text-embedding-3-small' w... | [
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d05cac29a492b03790585167aa020a5ce086216d | # Dataset Card for "lakh-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nicholasbien/lakh-dataset | [
"region:us"
] | 2024-02-07T23:56:11+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 210856059.9478749, "num_examples": 1995}, {"name": "test", "num_bytes": 52740438.052125104, "num_examples": 499}], "download_size": 94476677, "dataset_size": 263596498.0}} | 2024-02-08T01:12:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lakh-dataset"
More Information needed | [
"# Dataset Card for \"lakh-dataset\"\n\nMore Information needed"
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37afe70f0b1dbcbbdf2216087e027772c309ab9f |
# Dataset Card for short_summary
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Source Data](#source-data)
## Dataset Description
50000 News Articles with corresponding short summary
## Languages
The text in the dataset is ... | valurank/short-summary | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:other",
"region:us"
] | 2024-02-08T01:14:57+00:00 | {"language": ["en"], "license": "other", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["summarization"], "task_ids": ["news-articles-summarization"], "license_name": "valurank", "license_link": "LICENSE"} | 2024-02-16T11:16:13+00:00 | [] | [
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] | TAGS
#task_categories-summarization #task_ids-news-articles-summarization #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-other #region-us
|
# Dataset Card for short_summary
## Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Source Data
## Dataset Description
50000 News Articles with corresponding short summary
## Languages
The text in the dataset is in English
## Dataset Structure
The dataset consists of two columns namely... | [
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42b63a11ab6de24527be321a64c77336ad4d949c |
**Dataset Card for "QuiltVQA_ALL"**
<p align="center">
<img src="https://quilt-llava.github.io/static/images/quilt_vqa_samples.png" alt="fig2" width="90%"/>
</p>
**Human Generated VQA Dataset for Evaluation**
[Quilt-VQA](https://quilt-llava.github.io)
is generated by extracting Q&A dataset from naturally occurrin... | wisdomik/QuiltVQA_RED | [
"task_categories:visual-question-answering",
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] | 2024-02-08T01:50:07+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["visual-question-answering", "question-answering"], "pretty_name": "QUILT-VQA-RED", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "ima... | 2024-02-14T21:55:03+00:00 | [] | [
"en"
] | TAGS
#task_categories-visual-question-answering #task_categories-question-answering #size_categories-1K<n<10K #language-English #license-mit #region-us
|
Dataset Card for "QuiltVQA_ALL"
<p align="center">
<img src="URL alt="fig2" width="90%"/>
</p>
Human Generated VQA Dataset for Evaluation
Quilt-VQA
is generated by extracting Q&A dataset from naturally occurring questions/answers given in educational histopathology videos. With the help of GPT4 and some handcraft... | [] | [
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d1b0efa3a436e9101dfbde3752db7607da696c35 | # Dataset Card for "A-OKVQA"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | HuggingFaceM4/A-OKVQA | [
"region:us"
] | 2024-02-08T01:56:45+00:00 | {"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": "image", "dtype": "image"}, {"name": "question_id", "dtype": "string"}, {"name": "q... | 2024-02-08T01:57:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "A-OKVQA"
More Information needed | [
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35f26bdafa9883b5524f17931216af78632db8eb | # Dataset Card for LibriTTS
<!-- Provide a quick summary of the dataset. -->
LibriTTS is a multi-speaker English corpus of approximately 585 hours of read English speech at 24kHz sampling rate,
prepared by Heiga Zen with the assistance of Google Speech and Google Brain team members. The LibriTTS corpus is
designed ... | blabble-io/libritts | [
"task_categories:text-to-speech",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"arxiv:1904.02882",
"region:us"
] | 2024-02-08T02:07:23+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-to-speech"], "configs": [{"config_name": "dev", "data_files": [{"split": "dev.clean", "path": "data/dev.clean/dev.clean*.parquet"}]}, {"config_name": "clean", "data_files": [{"split": "dev.clean", "path": "data/dev... | 2024-02-09T21:19:32+00:00 | [
"1904.02882"
] | [
"en"
] | TAGS
#task_categories-text-to-speech #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #arxiv-1904.02882 #region-us
| # Dataset Card for LibriTTS
LibriTTS is a multi-speaker English corpus of approximately 585 hours of read English speech at 24kHz sampling rate,
prepared by Heiga Zen with the assistance of Google Speech and Google Brain team members. The LibriTTS corpus is
designed for TTS research. It is derived from the origina... | [
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44df6e535b84202d7c955373ececc74d9ffff822 |
# Canadian Case Law Summaries
A database of (currently, still growing) >600 case law summaries generated by GPT 4 for random case law in Ontario or Canada | simmo/CanlIICaseSummaries | [
"task_categories:summarization",
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"legal",
"region:us"
] | 2024-02-08T02:32:08+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["summarization", "text-generation"], "tags": ["legal"]} | 2024-02-08T02:37:06+00:00 | [] | [
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# Canadian Case Law Summaries
A database of (currently, still growing) >600 case law summaries generated by GPT 4 for random case law in Ontario or Canada | [
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2e2a9916c2cdd01f3d9360bbdea0ff0fe878e6f0 |
# Dataset Card for Dataset Name
a copy of huggingface samsum
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## Dataset Details
###... | longAtSJSU/FirstData | [
"size_categories:1K<n<10K",
"license:llama2",
"region:us"
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#size_categories-1K<n<10K #license-llama2 #region-us
|
# Dataset Card for Dataset Name
a copy of huggingface samsum
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
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- Funded by [optional]:
- Shared by [optional]:
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64ec7c3c48193105fd73ddf1d59ca8e92c97b727 | # Dataset Card for "original_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | YY-SemEval2024-task7/original_train | [
"region:us"
] | 2024-02-08T04:12:49+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "int64"}, {"name": "context", "dtype": "string"}], "splits": [{"name": "QQA", "num_bytes": 124939, "num_examples": 564}, {"name": "AWPNLI", "num_bytes": 119443.79501385041, "num_examples": 577}, {"name": "NewsNLI", "num_... | 2024-02-08T09:01:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "original_train"
More Information needed | [
"# Dataset Card for \"original_train\"\n\nMore Information needed"
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e6698c24dc46fcedaf9893589d4fb82c202cb372 | # Dataset Card for "original_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | YY-SemEval2024-task7/original_test | [
"region:us"
] | 2024-02-08T04:15:00+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "int64"}, {"name": "context", "dtype": "string"}], "splits": [{"name": "QQA", "num_bytes": 34581, "num_examples": 162}, {"name": "AWPNLI", "num_bytes": 30016.204986149583, "num_examples": 145}, {"name": "NewsNLI", "num_b... | 2024-02-08T09:01:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "original_test"
More Information needed | [
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f8ba2c1956b8aeac759f7fed373bf095ae68ac46 |
# danbooru-tags-2023
A dataset of danbooru tags.
## Dataset information
Generated using [danbooru](https://danbooru.donmai.us/) and [safebooru](https://safebooru.donmai.us/) API.
The dataset was created with the following conditions:
|Subset name|`all`|`safe`|
|-|-|-|
|API Endpoint|https://danbooru.donmai.us|http... | isek-ai/danbooru-tags-2023 | [
"task_categories:text-classification",
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:1M<n<10M",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2024-02-08T04:59:05+00:00 | {"language": ["en"], "license": "cc0-1.0", "size_categories": ["1M<n<10M"], "task_categories": ["text-classification", "text-generation", "text2text-generation"], "dataset_info": [{"config_name": "all", "features": [{"name": "id", "dtype": "int64"}, {"name": "copyright", "dtype": "string"}, {"name": "character", "dtype... | 2024-02-08T05:04:02+00:00 | [] | [
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] | TAGS
#task_categories-text-classification #task_categories-text-generation #task_categories-text2text-generation #size_categories-1M<n<10M #language-English #license-cc0-1.0 #region-us
| danbooru-tags-2023
==================
A dataset of danbooru tags.
Dataset information
-------------------
Generated using danbooru and safebooru API.
The dataset was created with the following conditions:
Subset name: API Endpoint, 'all': URL, 'safe': URL
Subset name: Date, 'all': '2005-01-01..2023-12-31', 's... | [] | [
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] |
9a0300a6fa1a8d1eb7aae084b6b7f59784c02668 |
Only for researching usage.
The papers download from the https://sbert.net/datasets/emnlp2016-2018.json | aisuko/emnlp2016_2018 | [
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-02-08T05:00:30+00:00 | {"language": ["en"], "license": "apache-2.0"} | 2024-02-08T05:04:17+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #region-us
|
Only for researching usage.
The papers download from the URL | [] | [
"TAGS\n#language-English #license-apache-2.0 #region-us \n"
] | [
18
] | [
"passage: TAGS\n#language-English #license-apache-2.0 #region-us \n"
] |
a12de89b8aeb4f0c4f9302383c6edc82238ca72b | # Overview
This is a new curated subset of the SlimOpenOrca data.
# Citation
```bibtex
@misc{TinyOrca,
title = {TinyOrca: An Open Dataset of GPT-4 Augmented FLAN Reasoning Traces, with Verification},
author = {Prince Canuma},
year = {2024},
publisher = {HuggingFace},
url = {https://https://huggingface.co... | prince-canuma/TinyOrca | [
"task_categories:conversational",
"task_categories:text-classification",
"task_categories:token-classification",
"task_categories:table-question-answering",
"task_categories:question-answering",
"task_categories:zero-shot-classification",
"task_categories:summarization",
"task_categories:feature-extra... | 2024-02-08T06:21:35+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["conversational", "text-classification", "token-classification", "table-question-answering", "question-answering", "zero-shot-classification", "summarization", "feature-extraction", "text-generation", "text2text-generation"], "prett... | 2024-02-08T06:33:16+00:00 | [
"2306.02707",
"2301.13688"
] | [
"en"
] | TAGS
#task_categories-conversational #task_categories-text-classification #task_categories-token-classification #task_categories-table-question-answering #task_categories-question-answering #task_categories-zero-shot-classification #task_categories-summarization #task_categories-feature-extraction #task_categories-text... | # Overview
This is a new curated subset of the SlimOpenOrca data.
| [
"# Overview\n\nThis is a new curated subset of the SlimOpenOrca data."
] | [
"TAGS\n#task_categories-conversational #task_categories-text-classification #task_categories-token-classification #task_categories-table-question-answering #task_categories-question-answering #task_categories-zero-shot-classification #task_categories-summarization #task_categories-feature-extraction #task_categorie... | [
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7a2caec553658f47088adbbd87485d0cc6477bbd | hi | tworimpa/testdataset | [
"region:us"
] | 2024-02-08T06:30:06+00:00 | {} | 2024-02-08T06:32:28+00:00 | [] | [] | TAGS
#region-us
| hi | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
d68b8dce76680311b391f8c6e8968228e0ac2ab7 |
This dataset was create semi-synthetically using a RAG system containing Composting and Regenerative Agriculture texts sourced from domain experts and public extension office data, connected to a ChatGPT4 API, put together by Copyleft Cultivars Nonprofit, then cleaned lightly by Caleb DeLeeuw (@Solshine on Hugging Fac... | CopyleftCultivars/SemiSynthetic_Composting_Knowledge_For_Agriculture | [
"license:other",
"region:us"
] | 2024-02-08T06:37:24+00:00 | {"license": "other", "license_name": "hl3-cl-eco-extr", "license_link": "https://firstdonoharm.dev/version/3/0/cl-eco-extr.html"} | 2024-02-08T07:14:28+00:00 | [] | [] | TAGS
#license-other #region-us
|
This dataset was create semi-synthetically using a RAG system containing Composting and Regenerative Agriculture texts sourced from domain experts and public extension office data, connected to a ChatGPT4 API, put together by Copyleft Cultivars Nonprofit, then cleaned lightly by Caleb DeLeeuw (@Solshine on Hugging Fac... | [] | [
"TAGS\n#license-other #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-other #region-us \n"
] |
7c582ff1b8f19405013de36e8560336aedcc3853 |
Dataset for Agricultural/Farming methods which increase fertility. Dataset contains scenarios and action suggestionss, with intended outcomes. The scenarios are puzzling conundrums on a farm or garden and the actions are informed by Regenerative Agriculture and Natural Farming principles and practices.
Regarding Rege... | Solshine/SemiSynthetic_Data_For_Regenerative_Farming_Agriculture | [
"license:mit",
"region:us"
] | 2024-02-08T07:25:12+00:00 | {"license": "mit"} | 2024-02-09T06:01:28+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Dataset for Agricultural/Farming methods which increase fertility. Dataset contains scenarios and action suggestionss, with intended outcomes. The scenarios are puzzling conundrums on a farm or garden and the actions are informed by Regenerative Agriculture and Natural Farming principles and practices.
Regarding Rege... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
95a8a1e97be1711bdee4b0bf555d6c106b505d9a |
<div align="center">
<h1 style="margin-bottom: 0.5em;">WebLINX: Real-World Website Navigation with Multi-Turn Dialogue</h1>
<em>Xing Han Lù*, Zdeněk Kasner*, Siva Reddy</em>
</div>
<div style="margin-bottom: 2em"></div>
<div style="display: flex; justify-content: space-around; align-items: center; font-size: 12... | McGill-NLP/WebLINX | [
"task_categories:image-to-text",
"task_categories:text-generation",
"task_categories:conversational",
"task_categories:text2text-generation",
"task_categories:sentence-similarity",
"size_categories:10K<n<100K",
"language:en",
"conversational",
"image-to-text",
"vision",
"convAI",
"arxiv:2402.0... | 2024-02-08T08:04:29+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "task_categories": ["image-to-text", "text-generation", "conversational", "text2text-generation", "sentence-similarity"], "pretty_name": "weblinx", "config_names": ["chat"], "configs": [{"config_name": "chat", "default": true, "data_files": [{"split": "train", "pa... | 2024-02-16T20:44:04+00:00 | [
"2402.05930"
] | [
"en"
] | TAGS
#task_categories-image-to-text #task_categories-text-generation #task_categories-conversational #task_categories-text2text-generation #task_categories-sentence-similarity #size_categories-10K<n<100K #language-English #conversational #image-to-text #vision #convAI #arxiv-2402.05930 #region-us
|
<div align="center">
<h1 style="margin-bottom: 0.5em;">WebLINX: Real-World Website Navigation with Multi-Turn Dialogue</h1>
<em>Xing Han Lù*, Zdeněk Kasner*, Siva Reddy</em>
</div>
<div style="margin-bottom: 2em"></div>
<div style="display: flex; justify-content: space-around; align-items: center; font-size: 12... | [
"## Quickstart\n\nTo get started, simply install 'datasets' with 'pip install datasets' and load the chat data splits:\n\n\n\nYou can now use 'turn_text' as an input to LLaMA-style models. For example, you can use Sheared-LLaMA:",
"## Raw Data\n\nTo use the raw data, you will need to use the 'huggingface_hub':\n\... | [
"TAGS\n#task_categories-image-to-text #task_categories-text-generation #task_categories-conversational #task_categories-text2text-generation #task_categories-sentence-similarity #size_categories-10K<n<100K #language-English #conversational #image-to-text #vision #convAI #arxiv-2402.05930 #region-us \n",
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ff658bd927617f848cea994ec59f29e4180936e5 |
This dataset is fully made with AI.
The AI gets information in a PDF, and then create questions and the answers in lists.
```json
[
{
"question": "What is 1+2",
"answer": "1+2 is equals to 3."
},
...
]
``` | streamerbtw1002/stringtheory-163KB | [
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-02-08T09:06:03+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"]} | 2024-02-08T09:12:03+00:00 | [] | [
"en"
] | TAGS
#size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
|
This dataset is fully made with AI.
The AI gets information in a PDF, and then create questions and the answers in lists.
| [] | [
"TAGS\n#size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n"
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30
] | [
"passage: TAGS\n#size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n"
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7752c206cfc165d5077fcc6fcfff63cb66c0fffc |
This dataset is scraped from "ordsprogogtalemaader.dk" (https://ordsprogogtalemaader.dk/talemaader-med-betydning/) | Juunge/danske-talemaader | [
"region:us"
] | 2024-02-08T09:06:26+00:00 | {"dataset_info": {"features": [{"name": "idiom", "dtype": "string"}, {"name": "meaning", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 81378, "num_examples": 1588}], "download_size": 51021, "dataset_size": 81378}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/tr... | 2024-02-10T09:30:28+00:00 | [] | [] | TAGS
#region-us
|
This dataset is scraped from "URL" (URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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18600b9c9c7191906057abbbe5d10fac8341d6cc |
# CroissantLLM: A Truly Bilingual French-English Language Model
## Dataset
https://arxiv.org/abs/2402.00786
## Licenses
Data redistributed here is subject to the original license under which it was collected. All license information is detailed in the `Data` section of the Technical report.
## Citation
```
@mis... | croissantllm/croissant_dataset | [
"task_categories:translation",
"task_categories:text-generation",
"task_categories:text2text-generation",
"task_categories:fill-mask",
"size_categories:100B<n<1T",
"language:fr",
"language:en",
"arxiv:2402.00786",
"region:us"
] | 2024-02-08T09:27:30+00:00 | {"language": ["fr", "en"], "size_categories": ["100B<n<1T"], "task_categories": ["translation", "text-generation", "text2text-generation", "fill-mask"]} | 2024-02-15T08:45:32+00:00 | [
"2402.00786"
] | [
"fr",
"en"
] | TAGS
#task_categories-translation #task_categories-text-generation #task_categories-text2text-generation #task_categories-fill-mask #size_categories-100B<n<1T #language-French #language-English #arxiv-2402.00786 #region-us
|
# CroissantLLM: A Truly Bilingual French-English Language Model
## Dataset
URL
## Licenses
Data redistributed here is subject to the original license under which it was collected. All license information is detailed in the 'Data' section of the Technical report.
## Note
Only the 'english_660B_11' split is kept ... | [
"# CroissantLLM: A Truly Bilingual French-English Language Model",
"## Dataset\n\nURL",
"## Licenses\n\nData redistributed here is subject to the original license under which it was collected. All license information is detailed in the 'Data' section of the Technical report.",
"## Note\n\nOnly the 'english_66... | [
"TAGS\n#task_categories-translation #task_categories-text-generation #task_categories-text2text-generation #task_categories-fill-mask #size_categories-100B<n<1T #language-French #language-English #arxiv-2402.00786 #region-us \n",
"# CroissantLLM: A Truly Bilingual French-English Language Model",
"## Dataset\n\n... | [
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bf7db0d9ef7809b4b04d165e83eaa66c41e7ed19 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | novaDE/novaDE | [
"license:apache-2.0",
"region:us"
] | 2024-02-08T09:30:32+00:00 | {"license": "apache-2.0"} | 2024-02-08T10:20:38+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
### Dataset Sources [optio... | [
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... | [
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"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.## Dataset Details### Dataset Description\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- ... |
3aa1f3b4ce494cedab20891e363549ad2897d66e | # Rajasthani Hindi Speech Dataset
<!-- Provide a quick summary of the dataset. -->
This dataset consists of audio recordings of participants reading out stories in Rajasthani Hindi, one sentence at a time. We had 98 participants from Soda, Rajasthan. Each participant read 30 stories. In total, we have 426873 recording... | severo/speech-rj-hi | [
"task_categories:text-to-speech",
"task_categories:automatic-speech-recognition",
"size_categories:100K<n<1M",
"language:hi",
"license:mit",
"region:us"
] | 2024-02-08T09:58:40+00:00 | {"language": ["hi"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-to-speech", "automatic-speech-recognition"], "pretty_name": "Rajasthani Speech Dataset", "dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "tr... | 2024-02-08T09:58:40+00:00 | [] | [
"hi"
] | TAGS
#task_categories-text-to-speech #task_categories-automatic-speech-recognition #size_categories-100K<n<1M #language-Hindi #license-mit #region-us
| # Rajasthani Hindi Speech Dataset
This dataset consists of audio recordings of participants reading out stories in Rajasthani Hindi, one sentence at a time. We had 98 participants from Soda, Rajasthan. Each participant read 30 stories. In total, we have 426873 recordings in this dataset. We had roughly 58 male partic... | [
"# Rajasthani Hindi Speech Dataset\n\n\nThis dataset consists of audio recordings of participants reading out stories in Rajasthani Hindi, one sentence at a time. We had 98 participants from Soda, Rajasthan. Each participant read 30 stories. In total, we have 426873 recordings in this dataset. We had roughly 58 mal... | [
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27cca5d196604c219c3f73ad4ff40b6d42f02694 | # Dataset Card for "cowsformer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Niche-Squad/cowsformer | [
"region:us"
] | 2024-02-08T10:15:28+00:00 | {"dataset_info": [{"config_name": "1a_angle_t2s", "features": [{"name": "image", "dtype": "image"}, {"name": "image_id", "dtype": "int64"}, {"name": "filename", "dtype": "string"}, {"name": "annotations", "sequence": [{"name": "id", "dtype": "int64"}, {"name": "image_id", "dtype": "int64"}, {"name": "category_id", "dty... | 2024-02-08T22:34:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cowsformer"
More Information needed | [
"# Dataset Card for \"cowsformer\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cowsformer\"\n\nMore Information needed"
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53257fe32a6eb5138d1705942c35e46d2853287a | First, I merged instruction and context columns because it's weird to have instructions saying "summarize this" without the passage itself.
Then I used Senku-70B Q2 GGUF to rate each example out of 10 using a custom-made prompt based on clarity, completeness, correctness, relevance and formatting. Here are a few exam... | Ba2han/databricks-dolly_rated | [
"language:en",
"region:us"
] | 2024-02-08T10:37:13+00:00 | {"language": ["en"]} | 2024-02-10T10:12:34+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| First, I merged instruction and context columns because it's weird to have instructions saying "summarize this" without the passage itself.
Then I used Senku-70B Q2 GGUF to rate each example out of 10 using a custom-made prompt based on clarity, completeness, correctness, relevance and formatting. Here are a few exam... | [] | [
"TAGS\n#language-English #region-us \n"
] | [
10
] | [
"passage: TAGS\n#language-English #region-us \n"
] |
0f3ed5a51f2361fe81d1de3df09d6c095a5138bb | # 🚀 AI Project Data Card
## Overview 📊
- Value of State and Country NPI Dataset 🌎
- Provides comprehensive insights into healthcare providers across various regions.
- Enhances data accuracy and availability for medical research and policy making.
- NUCC Specialty File 🔍
- De... | awacke1/AllUSPhysiciansNPIbyStateandCountry | [
"license:mit",
"region:us"
] | 2024-02-08T10:43:32+00:00 | {"license": "mit"} | 2024-02-08T11:15:52+00:00 | [] | [] | TAGS
#license-mit #region-us
| # AI Project Data Card
## Overview
- Value of State and Country NPI Dataset
- Provides comprehensive insights into healthcare providers across various regions.
- Enhances data accuracy and availability for medical research and policy making.
- NUCC Specialty File
- Delivers d... | [
"# AI Project Data Card\n ## Overview \n - Value of State and Country NPI Dataset \n - Provides comprehensive insights into healthcare providers across various regions.\n - Enhances data accuracy and availability for medical research and policy making.\n - NUCC Specialty File \n - Del... | [
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11,
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"passage: TAGS\n#license-mit #region-us \n"
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2246aeb54b54d3a44c1686800dd668a5a4ccf2f2 | # Dataset Card for "cryptonite"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | boda/cryptonite | [
"region:us"
] | 2024-02-08T11:14:35+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "publisher", "dtype": "string"}, {"name": "date", "dtype": "timestamp[ns]"}, {"name": "author", "... | 2024-02-08T11:14:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cryptonite"
More Information needed | [
"# Dataset Card for \"cryptonite\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cryptonite\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"cryptonite\"\n\nMore Information needed"
] |
4dc68c7dae45998f924104f4dbf600f8705215bb | # Dataset Card for "subreddits"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | alhosseini/subreddits | [
"region:us"
] | 2024-02-08T11:28:44+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1023110399, "num_examples": 2708763}], "download_size": 529126626, "dataset_size": ... | 2024-02-08T11:29:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "subreddits"
More Information needed | [
"# Dataset Card for \"subreddits\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"subreddits\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"subreddits\"\n\nMore Information needed"
] |
f89cb09c49de351ebf8c8f9c36090b8bf7392798 | ## CulturaY: A Large Cleaned Multilingual Dataset of 75 Languages
### Dataset Summary
From the team that brought you [CulutraX](https://huggingface.co/datasets/uonlp/CulturaX), we present CulturaY, another substantial multilingual dataset that applies the same dataset cleaning methodology to the [HPLT v1.1](https://hp... | ontocord/CulturaY | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:n<1K",
"size_categories:1K<n<10K",
"size_categories:1... | 2024-02-08T12:10:31+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["af", "ar", "az", "be", "bg", "bn", "ca", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fr", "ga", "gl", "gu", "hbs", "he", "hi", "hu", "hy", "id", "is", "it", "ja", "ka", "kk", "kn", "ko", "ky", "la", "l... | 2024-02-17T13:58:24+00:00 | [] | [
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--------------------------------------------------------------
### Dataset Summary
From the team that brought you CulutraX, we present CulturaY, another substantial multilingual dataset that applies the same dataset cleaning methodology to the HPLT v1.1... | [
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eb9fbc529f54eff61002cb17ab6eb803692cec82 | A dataset prepared for siamese finetuning, to distingush between texts from Legal Contracts text (Majorly SOW, MSA others Legal Algreements, Offer Letters etc)
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---
license: apache-2.0
---
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| A dataset prepared for siamese finetuning, to distingush between texts from Legal Contracts text (Majorly SOW, MSA others Legal Algreements, Offer Letters etc)
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license: apache-2.0
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32470f308ea1619f758b9dc0b5596f9cb8cf95e9 | # Dataset Card for "ExeBench-Eval-small-gpt3.5-zeroshot-result"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhangshuoming/ExeBench-Eval-small-gpt3.5-zeroshot-result | [
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b2f301648eda4c5dbe659235589c86ffec702581 |
1M OpenAI Embeddings: text-embedding-3-large 3072 dimensions + ada-002 1536 dimensions — parallel dataset
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54ec46522120f06ecf4b82c328c211b48e480a13 | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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1028930ef487328a076b1021ef7836785337aa26 | # Dataset Card for "UT"
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"passage: TAGS\n#region-us \n# Dataset Card for \"EDE\"\n\nMore Information needed"
] |
a22354197a5d62d7a70e0e3d25b27fa6c7bc739e | # Dataset Card for "GCD"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chiennv/GCD | [
"region:us"
] | 2024-02-08T14:09:40+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "conversations", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10406174, "num_examples": 14928}], "download_size": 519307... | 2024-02-08T14:09:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GCD"
More Information needed | [
"# Dataset Card for \"GCD\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GCD\"\n\nMore Information needed"
] | [
6,
12
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"GCD\"\n\nMore Information needed"
] |
c785f5d79450ec3183e0e53530d4c66af562d7e5 | # Dataset Card for "MM"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chiennv/MM | [
"region:us"
] | 2024-02-08T14:10:15+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "conversations", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 56867458, "num_examples": 56448}], "download_size": 233889... | 2024-02-08T14:10:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MM"
More Information needed | [
"# Dataset Card for \"MM\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"MM\"\n\nMore Information needed"
] | [
6,
11
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"MM\"\n\nMore Information needed"
] |
0ba9ccd210734980e5457343d3306348f773c605 | # Dataset Card for "PP"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chiennv/PP | [
"region:us"
] | 2024-02-08T14:10:45+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "conversations", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 30837584, "num_examples": 22280}], "download_size": 151993... | 2024-02-08T14:10:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PP"
More Information needed | [
"# Dataset Card for \"PP\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"PP\"\n\nMore Information needed"
] | [
6,
11
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"PP\"\n\nMore Information needed"
] |
a39c9269b251f3be20484534e884cb882c17d097 | # Dataset Card for "financial_sentiment_analysis_train_compilation_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | RobertoMCA97/financial_sentiment_analysis_train_compilation_v2 | [
"region:us"
] | 2024-02-08T14:11:02+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "fingpt_sentiment_train", "path": "data/fingpt_sentiment_train-*"}, {"split": "financial_phrasebank", "path": "data/financial_phrasebank-*"}, {"split": "twitter_financial_news_sentiment", "path": "data/twitter_financial_news_sentiment-*"}, {"split": "audi... | 2024-02-08T14:11:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "financial_sentiment_analysis_train_compilation_v2"
More Information needed | [
"# Dataset Card for \"financial_sentiment_analysis_train_compilation_v2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"financial_sentiment_analysis_train_compilation_v2\"\n\nMore Information needed"
] | [
6,
28
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"financial_sentiment_analysis_train_compilation_v2\"\n\nMore Information needed"
] |
08143c7b377629483c059f7d7ddf03c80cac24c2 | # Dataset Card for "delicous_books"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | stmackcat/delicous_books | [
"region:us"
] | 2024-02-08T14:18:06+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 889372, "num_examples": 334... | 2024-02-08T14:18:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "delicous_books"
More Information needed | [
"# Dataset Card for \"delicous_books\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"delicous_books\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"delicous_books\"\n\nMore Information needed"
] |
94e513abfe057047a922b4db82a3bfe83fbc2d3f |
# Dataset Card for Dataset Name
Open source articles about Psoriatic arthritis which have been published in reputed journals
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/temp... | devika1/PsA_corpus.csv | [
"region:us"
] | 2024-02-08T14:22:19+00:00 | {} | 2024-02-08T15:19:20+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
Open source articles about Psoriatic arthritis which have been published in reputed journals
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
specifically uses articles which wer... | [
"# Dataset Card for Dataset Name\n\nOpen source articles about Psoriatic arthritis which have been published in reputed journals\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"## Dataset Details",
"### Dataset Description\n\nspecifically uses ... | [
"TAGS\n#region-us \n",
"# Dataset Card for Dataset Name\n\nOpen source articles about Psoriatic arthritis which have been published in reputed journals\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"## Dataset Details",
"### Dataset Descript... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Dataset Name\n\nOpen source articles about Psoriatic arthritis which have been published in reputed journals\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.## Dataset Details### Dataset Description\n\nsp... |
280fec613c307ddcbb8b113e734280bc73d4ec5a | # Dataset Card for "test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ghermoso/egtzan_plus | [
"region:us"
] | 2024-02-08T15:25:41+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "afro", "1": "classical", "2": "country", "3": "di... | 2024-02-08T15:25:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test"
More Information needed | [
"# Dataset Card for \"test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"test\"\n\nMore Information needed"
] | [
6,
11
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"test\"\n\nMore Information needed"
] |
5e9618980bdb9b5366686ccb447440ae4fba22df |
!pip install requests-html
import requests
from bs4 import BeautifulSoup
import csv
# Function to scrape data from the website
def scrape_website(url):
# Send a GET request to the URL
response = requests.get(url)
# Check if the request was successful
if response.status_code == 200:
# Parse th... | zennn077/India_budget | [
"region:us"
] | 2024-02-08T15:27:12+00:00 | {} | 2024-02-08T15:28:01+00:00 | [] | [] | TAGS
#region-us
|
!pip install requests-html
import requests
from bs4 import BeautifulSoup
import csv
# Function to scrape data from the website
def scrape_website(url):
# Send a GET request to the URL
response = URL(url)
# Check if the request was successful
if response.status_code == 200:
# Parse the HTML co... | [
"# Function to scrape data from the website\ndef scrape_website(url):\n # Send a GET request to the URL\n response = URL(url)\n\n # Check if the request was successful\n if response.status_code == 200:\n # Parse the HTML content\n soup = BeautifulSoup(response.content, 'URL')\n\n # ... | [
"TAGS\n#region-us \n",
"# Function to scrape data from the website\ndef scrape_website(url):\n # Send a GET request to the URL\n response = URL(url)\n\n # Check if the request was successful\n if response.status_code == 200:\n # Parse the HTML content\n soup = BeautifulSoup(response.cont... | [
6,
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"passage: TAGS\n#region-us \n# Function to scrape data from the website\ndef scrape_website(url):\n # Send a GET request to the URL\n response = URL(url)\n\n # Check if the request was successful\n if response.status_code == 200:\n # Parse the HTML content\n soup = BeautifulSoup(response.c... |
b61068c558ac3c6a082d3692cc6bf94d523aa685 | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | mikoube/pentest | [
"task_categories:text-generation",
"task_categories:summarization",
"size_categories:1K<n<10K",
"language:fr",
"language:en",
"license:apache-2.0",
"CTF",
"pentesting",
"region:us"
] | 2024-02-08T15:40:51+00:00 | {"language": ["fr", "en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation", "summarization"], "tags": ["CTF", "pentesting"]} | 2024-02-08T15:50:49+00:00 | [] | [
"fr",
"en"
] | TAGS
#task_categories-text-generation #task_categories-summarization #size_categories-1K<n<10K #language-French #language-English #license-apache-2.0 #CTF #pentesting #region-us
| # Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
### Dataset Sources [opti... | [
"# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"## Dataset Details",
"### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:"... | [
"TAGS\n#task_categories-text-generation #task_categories-summarization #size_categories-1K<n<10K #language-French #language-English #license-apache-2.0 #CTF #pentesting #region-us \n",
"# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated usin... | [
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f3c9c079172114157e98a31629e16caa30678a8d | ### SentenceRex
This is a dataset for training zero-shot and few-shot sentence level relation extraction models.
The dataset was created with a distant supervision technique from Wikipedia.
After that, labels were manually checked to be logically consistent with a sentence. Overall, it consists of **847** unique rel... | knowledgator/sentence_rex | [
"task_categories:text-classification",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"text classification",
"relation extraction",
"region:us"
] | 2024-02-08T15:41:22+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification", "text2text-generation"], "tags": ["text classification", "relation extraction"]} | 2024-02-08T15:48:15+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-text2text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #text classification #relation extraction #region-us
| ### SentenceRex
This is a dataset for training zero-shot and few-shot sentence level relation extraction models.
The dataset was created with a distant supervision technique from Wikipedia.
After that, labels were manually checked to be logically consistent with a sentence. Overall, it consists of 847 unique relatio... | [
"### SentenceRex\nThis is a dataset for training zero-shot and few-shot sentence level relation extraction models.\n\nThe dataset was created with a distant supervision technique from Wikipedia. \n\nAfter that, labels were manually checked to be logically consistent with a sentence. Overall, it consists of 847 uniq... | [
"TAGS\n#task_categories-text-classification #task_categories-text2text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #text classification #relation extraction #region-us \n",
"### SentenceRex\nThis is a dataset for training zero-shot and few-shot sentence level relation extraction m... | [
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"passage: TAGS\n#task_categories-text-classification #task_categories-text2text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #text classification #relation extraction #region-us \n### SentenceRex\nThis is a dataset for training zero-shot and few-shot sentence level relation extractio... |
78657b318768398eef3319aa6e526f3d320277de |
<p align="center">
<img src="assets/figures/opentom_logo.png" width="480">
</p>
<span style="color:red;" align="center;">Please avoid testing OpenToM questions in OpenAI playground or places where the data might be used for LLM training.</span>
OpenToM is a new benchmark for assessing LLMs' Neural Theory-of-Mind ... | SeacowX/OpenToM | [
"task_categories:question-answering",
"task_categories:text-classification",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"arxiv:2402.06044",
"region:us"
] | 2024-02-08T17:25:58+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "text-classification", "text-generation"], "pretty_name": "OpenToM", "configs": [{"config_name": "default", "data_files": [{"split": "Long", "path": "opentom.json"}, {"split": "ExtraLong", "path": "opentom_long.json"}]}]} | 2024-02-14T12:56:13+00:00 | [
"2402.06044"
] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-classification #task_categories-text-generation #size_categories-10K<n<100K #language-English #arxiv-2402.06044 #region-us
|
<p align="center">
<img src="assets/figures/opentom_logo.png" width="480">
</p>
<span style="color:red;" align="center;">Please avoid testing OpenToM questions in OpenAI playground or places where the data might be used for LLM training.</span>
OpenToM is a new benchmark for assessing LLMs' Neural Theory-of-Mind ... | [
"## Dataset Details\n\nThe OpenToM benchmark contains 696 narratives, 596 of which are narratives of normal length (average word count: 194.3 words) and 100 of which are long narratives (average word count: 491.6 words).\nEach of the narrative is followed with 23 ToM questions, making a total of 16008 questions.\nT... | [
"TAGS\n#task_categories-question-answering #task_categories-text-classification #task_categories-text-generation #size_categories-10K<n<100K #language-English #arxiv-2402.06044 #region-us \n",
"## Dataset Details\n\nThe OpenToM benchmark contains 696 narratives, 596 of which are narratives of normal length (avera... | [
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"passage: TAGS\n#task_categories-question-answering #task_categories-text-classification #task_categories-text-generation #size_categories-10K<n<100K #language-English #arxiv-2402.06044 #region-us \n## Dataset Details\n\nThe OpenToM benchmark contains 696 narratives, 596 of which are narratives of normal length (av... |
3829b5ae5792df1cd4af032454f2ba0cd9074dfd | ### What is this?
This is a subset of the aurora-m training data. The data has been clustered into samples by languages and for code.
The license to the underlying data is based on the original data source, which is the HPLT dataset, the Pile, Refined Web, Red Pajama 1, and the Stack.
We make no claim to any copyrigh... | aurora-m/aurora-m-cluster | [
"license:cc-by-nc-2.0",
"region:us"
] | 2024-02-08T17:46:29+00:00 | {"license": "cc-by-nc-2.0"} | 2024-02-13T01:57:02+00:00 | [] | [] | TAGS
#license-cc-by-nc-2.0 #region-us
| ### What is this?
This is a subset of the aurora-m training data. The data has been clustered into samples by languages and for code.
The license to the underlying data is based on the original data source, which is the HPLT dataset, the Pile, Refined Web, Red Pajama 1, and the Stack.
We make no claim to any copyrigh... | [
"### What is this?\nThis is a subset of the aurora-m training data. The data has been clustered into samples by languages and for code. \nThe license to the underlying data is based on the original data source, which is the HPLT dataset, the Pile, Refined Web, Red Pajama 1, and the Stack.\n\nWe make no claim to any... | [
"TAGS\n#license-cc-by-nc-2.0 #region-us \n",
"### What is this?\nThis is a subset of the aurora-m training data. The data has been clustered into samples by languages and for code. \nThe license to the underlying data is based on the original data source, which is the HPLT dataset, the Pile, Refined Web, Red Paja... | [
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"passage: TAGS\n#license-cc-by-nc-2.0 #region-us \n### What is this?\nThis is a subset of the aurora-m training data. The data has been clustered into samples by languages and for code. \nThe license to the underlying data is based on the original data source, which is the HPLT dataset, the Pile, Refined Web, Red P... |
113eb2646d00382afc2b51174c0c5d688c292d24 |
Golfinho 🐬
https://erichartford.com/dolphin
Detalhes do conjunto de dados
Este conjunto de dados é uma tentativa de replicar os resultados do Orca da Microsoft.
Nosso conjunto de dados consiste em:
- Aproximadamente 1 milhão de FLANv2 aumentados com completudes GPT-4 (flan1m-alpaca-uncensored.jsonl)
- Aproximada... | JJhooww/dolphin_ptbr_alpaca_format | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:pt",
"region:us"
] | 2024-02-08T18:12:46+00:00 | {"language": ["pt"], "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"]} | 2024-02-12T18:22:42+00:00 | [] | [
"pt"
] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-Portuguese #region-us
|
Golfinho
URL
Detalhes do conjunto de dados
Este conjunto de dados é uma tentativa de replicar os resultados do Orca da Microsoft.
Nosso conjunto de dados consiste em:
- Aproximadamente 1 milhão de FLANv2 aumentados com completudes GPT-4 (URL)
- Aproximadamente 3,5 milhões de FLANv2 aumentados com completudes GPT... | [] | [
"TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-Portuguese #region-us \n"
] | [
35
] | [
"passage: TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-Portuguese #region-us \n"
] |
4d5200883df788426d9fa609d41328fd2f099bd4 | configs:
- config_name: train_data
data_files: "train.json"
- config_name: test_data
data_files: "test.json" | melaniasala/PII_Data_Detection | [
"region:us"
] | 2024-02-08T18:34:31+00:00 | {} | 2024-02-08T19:37:19+00:00 | [] | [] | TAGS
#region-us
| configs:
- config_name: train_data
data_files: "URL"
- config_name: test_data
data_files: "URL" | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
76e22065f8dfbcc61b7a81d03cb584c06f562c80 | ShareGPT formated dataset from [andrijdavid/roleplay-conversation](https://huggingface.co/datasets/andrijdavid/roleplay-conversation)
It miss some data at the end because I was too lazy to continue, there was too much things to modify, I do it by hand/notepad++/regex lmao | Undi95/andrijdavid_roleplay-conversation-sharegpt | [
"region:us"
] | 2024-02-08T20:51:11+00:00 | {} | 2024-02-08T21:25:39+00:00 | [] | [] | TAGS
#region-us
| ShareGPT formated dataset from andrijdavid/roleplay-conversation
It miss some data at the end because I was too lazy to continue, there was too much things to modify, I do it by hand/notepad++/regex lmao | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
18f433e612ba55f792ab7a764b22b635dd62c719 | Dataset of 12600 answer generations from a [1.4b fine-tuned Pythia policy model](https://huggingface.co/datasets/tlc4418/1.4b-policy_preference_data_gold_labelled), using the [AlpacaFarm dataset](https://huggingface.co/datasets/tatsu-lab/alpaca_farm) 'val' split, and labelled with the AlpacaFarm '[reward-model-human](h... | tlc4418/12600_gold_labelled_generations | [
"arxiv:2310.02743",
"region:us"
] | 2024-02-08T21:49:08+00:00 | {} | 2024-02-13T01:06:50+00:00 | [
"2310.02743"
] | [] | TAGS
#arxiv-2310.02743 #region-us
| Dataset of 12600 answer generations from a 1.4b fine-tuned Pythia policy model, using the AlpacaFarm dataset 'val' split, and labelled with the AlpacaFarm 'reward-model-human' to give 'gold' scores.
Used during best-of-n inference in 'Reward Model Ensembles Mitigate Overoptimization' | [] | [
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c32251b8d07f056494b7f092c5f0abfdf83f1f4b | Preference dataset using labels from the [AlpacaFarm dataset](https://huggingface.co/datasets/tatsu-lab/alpaca_farm), generated answers from a [1.4b fine-tuned Pythia policy model](https://huggingface.co/tlc4418/pythia_1.4b_sft_policy), and labelled using the AlpacaFarm '[reward-model-human](https://github.com/tatsu-la... | tlc4418/1.4b-policy_preference_data_gold_labelled | [
"arxiv:2310.02743",
"region:us"
] | 2024-02-08T22:04:51+00:00 | {} | 2024-02-12T23:54:39+00:00 | [
"2310.02743"
] | [] | TAGS
#arxiv-2310.02743 #region-us
| Preference dataset using labels from the AlpacaFarm dataset, generated answers from a 1.4b fine-tuned Pythia policy model, and labelled using the AlpacaFarm 'reward-model-human' as a gold reward model.
Used to train reward models in 'Reward Model Ensembles Mitigate Overoptimization' | [] | [
"TAGS\n#arxiv-2310.02743 #region-us \n"
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15
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bab53c76dad5bdeb85a493afd30fbe7c44985026 |
# Cantonese School Math 0.25M
This dataset is Cantonese translation of the Simplified Chinese dataset [BelleGroup/school_math_0.25M](https://huggingface.co/datasets/BelleGroup/school_math_0.25M), please check the original dataset for more information.
This dataset is translated by [indiejoseph/bart-translation-zh-yu... | hon9kon9ize/yue_school_math_0.25M | [
"license:gpl-3.0",
"region:us"
] | 2024-02-08T22:26:18+00:00 | {"license": "gpl-3.0"} | 2024-02-08T22:38:27+00:00 | [] | [] | TAGS
#license-gpl-3.0 #region-us
|
# Cantonese School Math 0.25M
This dataset is Cantonese translation of the Simplified Chinese dataset BelleGroup/school_math_0.25M, please check the original dataset for more information.
This dataset is translated by indiejoseph/bart-translation-zh-yue and has not undergone any manual verification. The content may ... | [
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559cbc40799a32926d7dd5f847cc1bf82112f88a |
A dataset of Polish Wikipedia dumps from November 2023, combined with page views statistics from the three previous months. The intention is to make it easier to filter out the least visited articles, as they may potentially provide lower quality data. | JonaszPotoniec/wikipedia-with-statistics-pl | [
"language:pl",
"wikipedia",
"region:us"
] | 2024-02-08T23:21:14+00:00 | {"language": ["pl"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "pageviews", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2962850577, "num_examples": 1587721}], ... | 2024-02-11T20:31:02+00:00 | [] | [
"pl"
] | TAGS
#language-Polish #wikipedia #region-us
|
A dataset of Polish Wikipedia dumps from November 2023, combined with page views statistics from the three previous months. The intention is to make it easier to filter out the least visited articles, as they may potentially provide lower quality data. | [] | [
"TAGS\n#language-Polish #wikipedia #region-us \n"
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13
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"passage: TAGS\n#language-Polish #wikipedia #region-us \n"
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03c62d1739f284e62b5c0e850f529be930b0fe36 | # Dataset Card for "iv4-msg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sam-mosaic/iv4-msg | [
"region:us"
] | 2024-02-08T23:59:07+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "source", "dtype": "string"}... | 2024-02-15T01:20:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "iv4-msg"
More Information needed | [
"# Dataset Card for \"iv4-msg\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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fb5061bcc8bd93d4b2eecb7c2d6771f32f9eb81e |
Only for the reaseaching usage.
The original data from http://sbert.net/datasets/simplewiki-2020-11-01.jsonl.gz.
We use `nq_distilbert-base-v1` model encode all the data to the PyTorch Tensors. And `normalize` the embeddings by using `sentence_transformers.util.normalize_embeddings`.
## How to use
See notebook [Wi... | aisuko/simple_english_wikipedia | [
"language:en",
"license:mit",
"region:us"
] | 2024-02-09T01:42:16+00:00 | {"language": ["en"], "license": "mit"} | 2024-02-09T09:50:34+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #region-us
|
Only for the reaseaching usage.
The original data from URL
We use 'nq_distilbert-base-v1' model encode all the data to the PyTorch Tensors. And 'normalize' the embeddings by using 'sentence_transformers.util.normalize_embeddings'.
## How to use
See notebook Wikipedia Q&A Retrieval-Semantic Search
## Installing t... | [
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581febcc96d48722a4ad2d489905670cbf1abc4f | # Dataset Card for "VNTL-v3.1-1k-q"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lmg-anon/VNTL-v3.1-1k-q | [
"region:us"
] | 2024-02-09T03:01:23+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "ignore_loss", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 30490676, "num_example... | 2024-02-09T03:01:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VNTL-v3.1-1k-q"
More Information needed | [
"# Dataset Card for \"VNTL-v3.1-1k-q\"\n\nMore Information needed"
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0fb26962126f3aadf43591546a14195cb5ad4bd5 | # Dataset Card for "safety-utcustom-TRAIN-30"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sam1120/safety-utcustom-TRAIN-30 | [
"region:us"
] | 2024-02-09T04:19:36+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "pixel_values", "dtype": "image"}, {"name": "labels", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 82487399.0, "num_examples": 29}], "download_size": 25202645, "dataset_size": 82487399.0}} | 2024-02-09T04:20:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "safety-utcustom-TRAIN-30"
More Information needed | [
"# Dataset Card for \"safety-utcustom-TRAIN-30\"\n\nMore Information needed"
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b13b3a5eba598406bdba7108f58722449c5afa8f | # Dataset Card for "cryptonite_filtered_testset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | boda/cryptonite_filtered_testset | [
"region:us"
] | 2024-02-09T05:21:13+00:00 | {"dataset_info": {"features": [{"name": "publisher", "dtype": "string"}, {"name": "date", "dtype": "timestamp[ns]"}, {"name": "author", "dtype": "string"}, {"name": "orientation", "dtype": "string"}, {"name": "clue", "dtype": "string"}, {"name": "labels", "dtype": "string"}, {"name": "enumeration", "dtype": "string"}, ... | 2024-02-09T05:21:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cryptonite_filtered_testset"
More Information needed | [
"# Dataset Card for \"cryptonite_filtered_testset\"\n\nMore Information needed"
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c1d42489734836e0408aece75eb1e8254935047c |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | avinier2/docker-llm-conversations-v1 | [
"region:us"
] | 2024-02-09T07:41:47+00:00 | {} | 2024-02-09T07:45:08+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
### Dataset Sources [opt... | [
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272b613d89dae043f8740d082fb906a5cbe5950f | # The Serbian Parliamentary Spoken Dataset ParlaSpeech-RS 1.0
http://hdl.handle.net/11356/1834
The ParlaSpeech-RS dataset is built from the transcripts of parliamentary proceedings available in the Serbian part of the ParlaMint corpus, and the parliamentary recordings available from the Serbian Parliament's YouTube c... | classla/ParlaSpeech-RS | [
"region:us"
] | 2024-02-09T08:05:17+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "text_cyrillic", "dtype": "string"}, {"name": "text_normalised", "dtype": "string"}, {"name": "text_cyrillic_normalised", "dtype": "string"}, {... | 2024-02-09T10:12:30+00:00 | [] | [] | TAGS
#region-us
| # The Serbian Parliamentary Spoken Dataset ParlaSpeech-RS 1.0
URL
The ParlaSpeech-RS dataset is built from the transcripts of parliamentary proceedings available in the Serbian part of the ParlaMint corpus, and the parliamentary recordings available from the Serbian Parliament's YouTube channel.
The corpus consists ... | [
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7e13243ec39ad950583174f181b752e7af721e3c |
Dados semissintéticos gerados por meio da biblioteca RAG contendo conhecimento de agricultura regenerativa de especialistas do domínio, conectados à API ChatGPT4.
Um conjunto de dados que detalha soluções agrícolas regenerativas para problemas agrícolas comuns, em português, com consciência cultural em relação à Flor... | Solshine/Agricultura_regenerativa_Portugues_Portuguese | [
"size_categories:n<1K",
"language:pt",
"license:mit",
"biology",
"climate",
"region:us"
] | 2024-02-09T08:24:04+00:00 | {"language": ["pt"], "license": "mit", "size_categories": ["n<1K"], "tags": ["biology", "climate"]} | 2024-02-09T19:29:54+00:00 | [] | [
"pt"
] | TAGS
#size_categories-n<1K #language-Portuguese #license-mit #biology #climate #region-us
|
Dados semissintéticos gerados por meio da biblioteca RAG contendo conhecimento de agricultura regenerativa de especialistas do domínio, conectados à API ChatGPT4.
Um conjunto de dados que detalha soluções agrícolas regenerativas para problemas agrícolas comuns, em português, com consciência cultural em relação à Flor... | [] | [
"TAGS\n#size_categories-n<1K #language-Portuguese #license-mit #biology #climate #region-us \n"
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032a72dd39df0a2d2a234e481d553e03c8b84ccd |
# Arxiv Math
This is a cleansed version of [ArtifactAI/arxiv-math-instruct-50k](https://huggingface.co/datasets/ArtifactAI/arxiv-math-instruct-50k)
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("Sharathhebbar24/arxiv-math-instruct-50k", split="train")
``` | Sharathhebbar24/arxiv-math-instruct-50k | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-02-09T08:30:54+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 39374567, "num_examples": 50488}], "download_size": 18735701, "dataset_size": 39374567}... | 2024-02-09T11:24:26+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
|
# Arxiv Math
This is a cleansed version of ArtifactAI/arxiv-math-instruct-50k
## Usage
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] |
ca5595b8189956ca62af1f6f521d984e355fb77b | # Workout Motivation Entity Dataset
### Dataset Summary
This is a WIP synthetic dataset generated by AI for the Workout Domain.
- Entity Types: `workout`, `duration`, `frequency`, `number`
## Dataset Structure
### Data Instances
An example of `train` looks as follows.
```
{'ner_tags': [0, 0, 0, 0, 0, 0, 0, 0, 6, 1,... | alfarruggia/wmout | [
"task_categories:token-classification",
"size_categories:n<1K",
"language:en",
"license:mit",
"workout",
"motivation",
"region:us"
] | 2024-02-09T08:33:46+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["token-classification"], "pretty_name": "Workout Motivation Entity Dataset", "tags": ["workout", "motivation"], "configs": [{"config_name": "mwout"}]} | 2024-02-09T22:00:08+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #size_categories-n<1K #language-English #license-mit #workout #motivation #region-us
| Workout Motivation Entity Dataset
=================================
### Dataset Summary
This is a WIP synthetic dataset generated by AI for the Workout Domain.
* Entity Types: 'workout', 'duration', 'frequency', 'number'
Dataset Structure
-----------------
### Data Instances
An example of 'train' looks as f... | [
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30a3e00abf2fdc907f5a89f34a19725e77a19973 |
Only for the researching usage.
## The converting process below.
```python
# Setting the env
os.environ['DATASET_URL']='http://sbert.net/datasets/simplewiki-2020-11-01.jsonl.gz'
os.environ['MODEL_NAME']='multi-qa-MiniLM-L6-cos-v1'
# Loading the dataset
import json
import gzip
from sentence_transformers.util im... | aisuko/simple_english_wikipedia_p0 | [
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-02-09T09:29:42+00:00 | {"language": ["en"], "license": "apache-2.0"} | 2024-02-10T00:45:18+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #region-us
|
Only for the researching usage.
## The converting process below.
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69d23a9df7fef79b755191733984ea527b3cd3a3 |
# Dataset Card for prompt-collective
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 with the `datasets` library in [Load with `datasets`](#load-wit... | argilla/prompt-collective | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2024-02-09T09:46:34+00:00 | {"size_categories": "n<1K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2024-02-17T15:53:32+00:00 | [] | [] | TAGS
#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
| Dataset Card for prompt-collective
==================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
---... | [
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c8120097dd104b40f9396cb19bf7d0dcd3a4cbc5 |
### BioMed_general_NER
This dataset consists of manually annotated biomedical abstracts from PubMed, drug descriptions from FDA and abstracts from patents.
It was extracted 24 different entity types, including those specific to medicine and biology and general such as location and organization as well.
This is on... | knowledgator/biomed_NER | [
"task_categories:token-classification",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"biomed NER",
"PubMed NER",
"biology",
"medicine",
"NER",
"entity extraction",
"region:us"
] | 2024-02-09T10:52:45+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["token-classification"], "pretty_name": "biomed-ner", "tags": ["biomed NER", "PubMed NER", "biology", "medicine", "NER", "entity extraction"]} | 2024-02-12T17:35:16+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #biomed NER #PubMed NER #biology #medicine #NER #entity extraction #region-us
|
### BioMed_general_NER
This dataset consists of manually annotated biomedical abstracts from PubMed, drug descriptions from FDA and abstracts from patents.
It was extracted 24 different entity types, including those specific to medicine and biology and general such as location and organization as well.
This is on... | [
"### BioMed_general_NER\n\nThis dataset consists of manually annotated biomedical abstracts from PubMed, drug descriptions from FDA and abstracts from patents. \n\nIt was extracted 24 different entity types, including those specific to medicine and biology and general such as location and organization as well. \n\n... | [
"TAGS\n#task_categories-token-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #biomed NER #PubMed NER #biology #medicine #NER #entity extraction #region-us \n",
"### BioMed_general_NER\n\nThis dataset consists of manually annotated biomedical abstracts from PubMed, drug descriptions... | [
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d6cdb44bbcc3c8e31b464d76567f1fc10591cbf5 |
# Meta Math Filtered
This is a combined and filtered (removed all the redundant rows) version of [meta-math/MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA) and [meta-math/MetaMathQA-40K](https://huggingface.co/datasets/meta-math/MetaMathQA-40K)
## Usage
```python
from datasets import load_datase... | Sharathhebbar24/MetaMathQA | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"math",
"region:us"
] | 2024-02-09T11:12:56+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 314797881, "num_examples": 390062}], "download_size": 131558400, "dataset_size": 314797... | 2024-02-09T12:12:23+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #math #region-us
|
# Meta Math Filtered
This is a combined and filtered (removed all the redundant rows) version of meta-math/MetaMathQA and meta-math/MetaMathQA-40K
## Usage
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] |
e2e2a86588b2cb4af7c9486631f03f274cf118c6 | # Dataset Card for "UltrachatRheumatology"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cmcmaster/UltrachatRheumatology | [
"region:us"
] | 2024-02-09T11:26:44+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "text", "dtype": "string"}, {"name": "rheumatology_terms", "dtype": "bool"}], "splits": [{... | 2024-02-09T11:26:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UltrachatRheumatology"
More Information needed | [
"# Dataset Card for \"UltrachatRheumatology\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"UltrachatRheumatology\"\n\nMore Information needed"
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0b896e1e3c442b8b78b9a466e15865db7e98a3d2 |
## Description
A channel generating latent splatting scenes (of single objects for now)
## Model
SVD
## Gaussian Model
LGM
## Voice
Muted
# Tags
- Latent Splatting
# Style
close-up, single, pro photoshoot, neutral background, empty room
## Prompt
A channel generating animated videos of various people, an... | jbilcke-hf/ai-tube-latent-splats | [
"license:cc-by-nc-4.0",
"region:us"
] | 2024-02-09T11:30:04+00:00 | {"license": "cc-by-nc-4.0", "pretty_name": "Latent Splats"} | 2024-02-09T11:35:29+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
## Description
A channel generating latent splatting scenes (of single objects for now)
## Model
SVD
## Gaussian Model
LGM
## Voice
Muted
# Tags
- Latent Splatting
# Style
close-up, single, pro photoshoot, neutral background, empty room
## Prompt
A channel generating animated videos of various people, an... | [
"## Description\n\nA channel generating latent splatting scenes (of single objects for now)",
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"## Prompt\n\nA channel generat... | [
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f07e8361519bc5eab1955ef5d3a016d7a0f66da7 |
# Dataset Card for Evaluation run of paulml/NeuralOmniBeagleMBX-v3-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [paulml/NeuralOmniBeagleMBX-v3-7B](https://huggingface.co/paulml/NeuralOmniBeagleMBX-v3-7B) on the [Open LLM Leaderboard](https://hug... | open-llm-leaderboard/details_paulml__NeuralOmniBeagleMBX-v3-7B | [
"region:us"
] | 2024-02-09T12:14:12+00:00 | {"pretty_name": "Evaluation run of paulml/NeuralOmniBeagleMBX-v3-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [paulml/NeuralOmniBeagleMBX-v3-7B](https://huggingface.co/paulml/NeuralOmniBeagleMBX-v3-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2024-02-09T12:14:32+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of paulml/NeuralOmniBeagleMBX-v3-7B
Dataset automatically created during the evaluation run of model paulml/NeuralOmniBeagleMBX-v3-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been... | [
"# Dataset Card for Evaluation run of paulml/NeuralOmniBeagleMBX-v3-7B\n\n\n\nDataset automatically created during the evaluation run of model paulml/NeuralOmniBeagleMBX-v3-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe data... | [
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7b786def7db86f171a7ab57111758a5a6da0437a | # JMMLU
Japanese Massive Multitask Language Understanding Benchmark
JMMLU is a four-choice question set consisting of Japanese-translated questions of a portion of MMLU ([Paper](https://arxiv.org/abs/2009.03300), [Github](https://github.com/hendrycks/test)) (Translated questions) and questions based on unique Japanese... | nlp-waseda/JMMLU | [
"arxiv:2009.03300",
"region:us"
] | 2024-02-09T12:19:13+00:00 | {} | 2024-02-10T07:11:21+00:00 | [
"2009.03300"
] | [] | TAGS
#arxiv-2009.03300 #region-us
| JMMLU
=====
Japanese Massive Multitask Language Understanding Benchmark
JMMLU is a four-choice question set consisting of Japanese-translated questions of a portion of MMLU (Paper, Github) (Translated questions) and questions based on unique Japanese cultural context (Japanese questions). It is designed to assess t... | [] | [
"TAGS\n#arxiv-2009.03300 #region-us \n"
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14
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ae57258299132e3bd0885e2fe461e1645999de63 |
# ⛵ Midjourney Images Dataset
This is datase with images made by Midjourney V5/V6.
## Dataset parameters
1. **Count of images**: ~10.000
2. **Zip file with dataset**: True
3. **Captions with images**: False
## License
License for this dataset: [MIT](https://www.mit.edu/~amini/LICENSE.md)
## Use in *datasets*
1... | ehristoforu/midjourney-images | [
"task_categories:text-to-image",
"task_categories:image-to-image",
"size_categories:10K<n<100K",
"license:mit",
"midjourney-v6",
"midjourney",
"midjourney-images",
"images",
"croissant",
"region:us"
] | 2024-02-09T12:20:13+00:00 | {"license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-to-image", "image-to-image"], "tags": ["midjourney-v6", "midjourney", "midjourney-images", "images", "croissant"]} | 2024-02-11T14:02:57+00:00 | [] | [] | TAGS
#task_categories-text-to-image #task_categories-image-to-image #size_categories-10K<n<100K #license-mit #midjourney-v6 #midjourney #midjourney-images #images #croissant #region-us
|
# Midjourney Images Dataset
This is datase with images made by Midjourney V5/V6.
## Dataset parameters
1. Count of images: ~10.000
2. Zip file with dataset: True
3. Captions with images: False
## License
License for this dataset: MIT
## Use in *datasets*
1.
2.
#### *Enjoy with this dataset!* | [
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"## License\n\nLicense for this dataset: MIT",
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80efce5f1665a7a3dd60a487a6cac5faefdce0b8 |
# Dataset Card for Evaluation run of jondurbin/bagel-7b-v0.4
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [jondurbin/bagel-7b-v0.4](https://huggingface.co/jondurbin/bagel-7b-v0.4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingF... | open-llm-leaderboard/details_jondurbin__bagel-7b-v0.4 | [
"region:us"
] | 2024-02-09T12:21:09+00:00 | {"pretty_name": "Evaluation run of jondurbin/bagel-7b-v0.4", "dataset_summary": "Dataset automatically created during the evaluation run of model [jondurbin/bagel-7b-v0.4](https://huggingface.co/jondurbin/bagel-7b-v0.4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\n... | 2024-02-09T12:21:31+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of jondurbin/bagel-7b-v0.4
Dataset automatically created during the evaluation run of model jondurbin/bagel-7b-v0.4 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 ru... | [
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b16966b68eba8f44b6534bc8cd82e9fa02c53188 |
# Description
Dataset created for Master's thesis "Detection of Catastrophic Events from Social Media" at the Slovak Technical University Faculty of Informatics.
Contains posts from social media that are split into two categories:
- Informative - related and informative in regards to natural disasters
- Non-Informat... | melisekm/natural-disasters-from-social-media | [
"task_categories:text-classification",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
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"source_datasets:Kaggle 2 - vstepanenko/disaster-tweets",
"source_datasets:Kaggle 3 - sidh... | 2024-02-09T12:23:39+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "size_categories": ["100K<n<1M"], "source_datasets": ["Kaggle 1 - jannesklaas/disasters-on-social-media", "Kaggle 2 - vstepanenko/disaster-tweets", "Kaggle 3 - sidharth178/disaster-response-messages", "Zahra et al. - doi: 10.1016/j.ipm.2... | 2024-02-09T13:27:51+00:00 | [
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===========
Dataset created for Master's thesis "Detection of Catastrophic Events from Social Media" at the Slovak Technical University Faculty of Informatics.
Contains posts from social media that are split into two categories:
* Informative - related and informative in regards to natural disasters
*... | [] | [
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f2e8c61e64491b73cd55a96d1429ddbfda7edb0c |
# Dataset Card for Evaluation run of jondurbin/bagel-dpo-7b-v0.4
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [jondurbin/bagel-dpo-7b-v0.4](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.4) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_jondurbin__bagel-dpo-7b-v0.4 | [
"region:us"
] | 2024-02-09T12:28:25+00:00 | {"pretty_name": "Evaluation run of jondurbin/bagel-dpo-7b-v0.4", "dataset_summary": "Dataset automatically created during the evaluation run of model [jondurbin/bagel-dpo-7b-v0.4](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-02-09T12:28:46+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of jondurbin/bagel-dpo-7b-v0.4
Dataset automatically created during the evaluation run of model jondurbin/bagel-dpo-7b-v0.4 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created f... | [
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b127778caae6638338873ab5d0913c7b37c91a7b |
# Dataset Card for Evaluation run of ericpolewski/Palworld-SME-13b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ericpolewski/Palworld-SME-13b](https://huggingface.co/ericpolewski/Palworld-SME-13b) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_ericpolewski__Palworld-SME-13b | [
"region:us"
] | 2024-02-09T12:32:56+00:00 | {"pretty_name": "Evaluation run of ericpolewski/Palworld-SME-13b", "dataset_summary": "Dataset automatically created during the evaluation run of model [ericpolewski/Palworld-SME-13b](https://huggingface.co/ericpolewski/Palworld-SME-13b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2024-02-09T12:33:19+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of ericpolewski/Palworld-SME-13b
Dataset automatically created during the evaluation run of model ericpolewski/Palworld-SME-13b on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been creat... | [
"# Dataset Card for Evaluation run of ericpolewski/Palworld-SME-13b\n\n\n\nDataset automatically created during the evaluation run of model ericpolewski/Palworld-SME-13b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset ha... | [
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"# Dataset Card for Evaluation run of ericpolewski/Palworld-SME-13b\n\n\n\nDataset automatically created during the evaluation run of model ericpolewski/Palworld-SME-13b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluate... | [
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9a1c69429728bf5471edd91755f634ab1383d8c1 |
# Dataset Card for Evaluation run of manishiitg/open-aditi-hi-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [manishiitg/open-aditi-hi-v2](https://huggingface.co/manishiitg/open-aditi-hi-v2) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_manishiitg__open-aditi-hi-v2 | [
"region:us"
] | 2024-02-09T12:33:41+00:00 | {"pretty_name": "Evaluation run of manishiitg/open-aditi-hi-v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [manishiitg/open-aditi-hi-v2](https://huggingface.co/manishiitg/open-aditi-hi-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-02-09T12:34:03+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of manishiitg/open-aditi-hi-v2
Dataset automatically created during the evaluation run of model manishiitg/open-aditi-hi-v2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created f... | [
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# Dataset Card for Evaluation run of Josephgflowers/3BigReasonCinder
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Josephgflowers/3BigReasonCinder](https://huggingface.co/Josephgflowers/3BigReasonCinder) on the [Open LLM Leaderboard](https://huggin... | open-llm-leaderboard/details_Josephgflowers__3BigReasonCinder | [
"region:us"
] | 2024-02-09T12:34:02+00:00 | {"pretty_name": "Evaluation run of Josephgflowers/3BigReasonCinder", "dataset_summary": "Dataset automatically created during the evaluation run of model [Josephgflowers/3BigReasonCinder](https://huggingface.co/Josephgflowers/3BigReasonCinder) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/op... | 2024-02-09T12:34:24+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Josephgflowers/3BigReasonCinder
Dataset automatically created during the evaluation run of model Josephgflowers/3BigReasonCinder on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been c... | [
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# Dataset Card for Evaluation run of Technoculture/MT7Bi-alpha-dpo-v0.2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Technoculture/MT7Bi-alpha-dpo-v0.2](https://huggingface.co/Technoculture/MT7Bi-alpha-dpo-v0.2) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_Technoculture__MT7Bi-alpha-dpo-v0.2 | [
"region:us"
] | 2024-02-09T12:52:01+00:00 | {"pretty_name": "Evaluation run of Technoculture/MT7Bi-alpha-dpo-v0.2", "dataset_summary": "Dataset automatically created during the evaluation run of model [Technoculture/MT7Bi-alpha-dpo-v0.2](https://huggingface.co/Technoculture/MT7Bi-alpha-dpo-v0.2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2024-02-09T12:52:22+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Technoculture/MT7Bi-alpha-dpo-v0.2
Dataset automatically created during the evaluation run of model Technoculture/MT7Bi-alpha-dpo-v0.2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has ... | [
"# Dataset Card for Evaluation run of Technoculture/MT7Bi-alpha-dpo-v0.2\n\n\n\nDataset automatically created during the evaluation run of model Technoculture/MT7Bi-alpha-dpo-v0.2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe ... | [
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917712f4a82e54d3cc5bfbe0eaa1189776f3e879 |
# Beaver Tails
This is a cleansed version of [PKU-Alignment/BeaverTails](https://huggingface.co/datasets/PKU-Alignment/BeaverTails)
It has two version based on the sensitivity
## Filtered
### Usage
```python
from datasets import load_dataset
dataset = load_dataset("Sharathhebbar24/BeaverTails_filtered", split="tr... | Sharathhebbar24/BeaverTails_unfiltered | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-02-09T12:59:43+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 185218245, "num_examples": 364170}], "download_size": 97617848, "dataset_size": 185218245... | 2024-02-09T13:06:59+00:00 | [] | [
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#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
|
# Beaver Tails
This is a cleansed version of PKU-Alignment/BeaverTails
It has two version based on the sensitivity
## Filtered
### Usage
## Unfiltered
### Usage
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] |
6018b1d10fcebc26defa9380b30dbdb6c868aa6d |
# Beaver Tails
This is a cleansed version of [PKU-Alignment/BeaverTails](https://huggingface.co/datasets/PKU-Alignment/BeaverTails)
It has two version based on the sensitivity
## Filtered
### Usage
```python
from datasets import load_dataset
dataset = load_dataset("Sharathhebbar24/BeaverTails_filtered", split="tr... | Sharathhebbar24/BeaverTails_filtered | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-02-09T12:59:52+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 78049982, "num_examples": 161784}], "download_size": 40376094, "dataset_size": 78049982},... | 2024-02-10T04:49:33+00:00 | [] | [
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] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
|
# Beaver Tails
This is a cleansed version of PKU-Alignment/BeaverTails
It has two version based on the sensitivity
## Filtered
### Usage
## Unfiltered
### Usage
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# Dataset Card for Evaluation run of Novocoders/Lotus-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Novocoders/Lotus-7B](https://huggingface.co/Novocoders/Lotus-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_l... | open-llm-leaderboard/details_Novocoders__Lotus-7B | [
"region:us"
] | 2024-02-09T13:06:11+00:00 | {"pretty_name": "Evaluation run of Novocoders/Lotus-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Novocoders/Lotus-7B](https://huggingface.co/Novocoders/Lotus-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset ... | 2024-02-09T13:06:33+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Novocoders/Lotus-7B
Dataset automatically created during the evaluation run of model Novocoders/Lotus-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Ea... | [
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6a0c013c366972b643e39829718b7fc8de022fea |
# Dataset Card for Evaluation run of BarraHome/rezephyr-dpo
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [BarraHome/rezephyr-dpo](https://huggingface.co/BarraHome/rezephyr-dpo) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFace... | open-llm-leaderboard/details_BarraHome__rezephyr-dpo | [
"region:us"
] | 2024-02-09T13:20:25+00:00 | {"pretty_name": "Evaluation run of BarraHome/rezephyr-dpo", "dataset_summary": "Dataset automatically created during the evaluation run of model [BarraHome/rezephyr-dpo](https://huggingface.co/BarraHome/rezephyr-dpo) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe... | 2024-02-09T13:20:47+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of BarraHome/rezephyr-dpo
Dataset automatically created during the evaluation run of model BarraHome/rezephyr-dpo on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(... | [
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# Dataset Card for Evaluation run of kenhktsui/nano-phi-115M-v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kenhktsui/nano-phi-115M-v0.1](https://huggingface.co/kenhktsui/nano-phi-115M-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_kenhktsui__nano-phi-115M-v0.1 | [
"region:us"
] | 2024-02-09T13:22:26+00:00 | {"pretty_name": "Evaluation run of kenhktsui/nano-phi-115M-v0.1", "dataset_summary": "Dataset automatically created during the evaluation run of model [kenhktsui/nano-phi-115M-v0.1](https://huggingface.co/kenhktsui/nano-phi-115M-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2024-02-09T13:22:49+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of kenhktsui/nano-phi-115M-v0.1
Dataset automatically created during the evaluation run of model kenhktsui/nano-phi-115M-v0.1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created... | [
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4a9731217921bc476a0f03544f11f22ae4903fa5 |
1M OpenAI Embeddings: text-embedding-3-large 1536 dimensions
- Created: February 2024.
- Text used for Embedding: title (string) + text (string)
- Embedding Model: OpenAI text-embedding-3-large
- This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity, extracted b... | Qdrant/dbpedia-entities-openai3-text-embedding-3-large-1536-1M | [
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"size_categories:1M<n<10M",
"language:en",
"license:mit",
"region:us"
] | 2024-02-09T13:31:30+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1M<n<10M"], "task_categories": ["feature-extraction"], "dataset_info": {"features": [{"name": "_id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "text-embedding-3-large-1536-embedding", "sequence": "f... | 2024-02-09T13:50:20+00:00 | [] | [
"en"
] | TAGS
#task_categories-feature-extraction #size_categories-1M<n<10M #language-English #license-mit #region-us
|
1M OpenAI Embeddings: text-embedding-3-large 1536 dimensions
- Created: February 2024.
- Text used for Embedding: title (string) + text (string)
- Embedding Model: OpenAI text-embedding-3-large
- This dataset was generated from the first 1M entries of URL extracted by @KShivendu_ here | [] | [
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f37603c619ef8ca0c19155e31161d60877342c10 |
# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter0
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [splm/zephyr-7b-sft-full-spin-peft-iter0](https://huggingface.co/splm/zephyr-7b-sft-full-spin-peft-iter0) on the [Open LLM Lea... | open-llm-leaderboard/details_splm__zephyr-7b-sft-full-spin-peft-iter0 | [
"region:us"
] | 2024-02-09T13:40:12+00:00 | {"pretty_name": "Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter0", "dataset_summary": "Dataset automatically created during the evaluation run of model [splm/zephyr-7b-sft-full-spin-peft-iter0](https://huggingface.co/splm/zephyr-7b-sft-full-spin-peft-iter0) on the [Open LLM Leaderboard](https://huggingface.co... | 2024-02-09T13:40:36+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter0
Dataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter0 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The da... | [
"# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter0\n\n\n\nDataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter0 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated tas... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter0\n\n\n\nDataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter0 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter0\n\n\n\nDataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter0 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding... |
893e5cb90b89574cf6d6c5130b1fcbee31d2a39e |
# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [splm/zephyr-7b-sft-full-spin-peft-iter1](https://huggingface.co/splm/zephyr-7b-sft-full-spin-peft-iter1) on the [Open LLM Lea... | open-llm-leaderboard/details_splm__zephyr-7b-sft-full-spin-peft-iter1 | [
"region:us"
] | 2024-02-09T13:46:00+00:00 | {"pretty_name": "Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter1", "dataset_summary": "Dataset automatically created during the evaluation run of model [splm/zephyr-7b-sft-full-spin-peft-iter1](https://huggingface.co/splm/zephyr-7b-sft-full-spin-peft-iter1) on the [Open LLM Leaderboard](https://huggingface.co... | 2024-02-09T13:46:22+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter1
Dataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The da... | [
"# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter1\n\n\n\nDataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated tas... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter1\n\n\n\nDataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter1\n\n\n\nDataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding... |
1322115809ac6df800a2c21fed3806441f3b92bf |
# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [splm/zephyr-7b-sft-full-spin-peft-iter2](https://huggingface.co/splm/zephyr-7b-sft-full-spin-peft-iter2) on the [Open LLM Lea... | open-llm-leaderboard/details_splm__zephyr-7b-sft-full-spin-peft-iter2 | [
"region:us"
] | 2024-02-09T13:52:35+00:00 | {"pretty_name": "Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter2", "dataset_summary": "Dataset automatically created during the evaluation run of model [splm/zephyr-7b-sft-full-spin-peft-iter2](https://huggingface.co/splm/zephyr-7b-sft-full-spin-peft-iter2) on the [Open LLM Leaderboard](https://huggingface.co... | 2024-02-09T13:52:55+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter2
Dataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The da... | [
"# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter2\n\n\n\nDataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated tas... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter2\n\n\n\nDataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of splm/zephyr-7b-sft-full-spin-peft-iter2\n\n\n\nDataset automatically created during the evaluation run of model splm/zephyr-7b-sft-full-spin-peft-iter2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding... |
d9e0f0b6fc4836164c05a7f6995f8303339d76d4 | ## DialogSumm
DialogSumm is a mixture of the following dialog datasets:
- [dialogsum](https://huggingface.co/datasets/knkarthick/dialogsum)
- [samsum](https://huggingface.co/datasets/samsum)
- [MocktaiLEngineer/qmsum-processed](https://huggingface.co/datasets/MocktaiLEngineer/qmsum-processed)
- [npc-engine/light-batch-... | Isotonic/DialogSumm | [
"task_categories:summarization",
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2024-02-09T14:08:36+00:00 | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["summarization", "text-generation", "text2text-generation"], "dataset_info": {"features": [{"name": "dialogue", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes":... | 2024-02-10T16:27:14+00:00 | [] | [
"en"
] | TAGS
#task_categories-summarization #task_categories-text-generation #task_categories-text2text-generation #size_categories-10K<n<100K #language-English #license-cc-by-nc-sa-4.0 #region-us
| ## DialogSumm
DialogSumm is a mixture of the following dialog datasets:
- dialogsum
- samsum
- MocktaiLEngineer/qmsum-processed
- npc-engine/light-batch-summarize-dialogue
## Usage
Next: DialogSumm + cnn_dailymail + mediasum + EdinburghNLP/xsum | [
"## DialogSumm\nDialogSumm is a mixture of the following dialog datasets:\n- dialogsum\n- samsum\n- MocktaiLEngineer/qmsum-processed\n- npc-engine/light-batch-summarize-dialogue",
"## Usage\n\n Next: DialogSumm + cnn_dailymail + mediasum + EdinburghNLP/xsum"
] | [
"TAGS\n#task_categories-summarization #task_categories-text-generation #task_categories-text2text-generation #size_categories-10K<n<100K #language-English #license-cc-by-nc-sa-4.0 #region-us \n",
"## DialogSumm\nDialogSumm is a mixture of the following dialog datasets:\n- dialogsum\n- samsum\n- MocktaiLEngineer/q... | [
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"passage: TAGS\n#task_categories-summarization #task_categories-text-generation #task_categories-text2text-generation #size_categories-10K<n<100K #language-English #license-cc-by-nc-sa-4.0 #region-us \n## DialogSumm\nDialogSumm is a mixture of the following dialog datasets:\n- dialogsum\n- samsum\n- MocktaiLEnginee... |
8a765c6e8147a5c6ceca06a17638f74463e001c4 |
# Dataset Card for Evaluation run of Weyaxi/Einstein-v3-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Weyaxi/Einstein-v3-7B](https://huggingface.co/Weyaxi/Einstein-v3-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/... | open-llm-leaderboard/details_PulsarAI__Einstein-v3-7B | [
"region:us"
] | 2024-02-09T14:23:03+00:00 | {"pretty_name": "Evaluation run of Weyaxi/Einstein-v3-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Weyaxi/Einstein-v3-7B](https://huggingface.co/Weyaxi/Einstein-v3-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe da... | 2024-02-12T09:52:41+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Weyaxi/Einstein-v3-7B
Dataset automatically created during the evaluation run of model Weyaxi/Einstein-v3-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s)... | [
"# Dataset Card for Evaluation run of Weyaxi/Einstein-v3-7B\n\n\n\nDataset automatically created during the evaluation run of model Weyaxi/Einstein-v3-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created f... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of Weyaxi/Einstein-v3-7B\n\n\n\nDataset automatically created during the evaluation run of model Weyaxi/Einstein-v3-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe d... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of Weyaxi/Einstein-v3-7B\n\n\n\nDataset automatically created during the evaluation run of model Weyaxi/Einstein-v3-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nTh... |
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