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2a4420f4dfe8093e8dbdf6fcea9baffeb47033a6 |
# Dataset Card for Evaluation run of SCE/Mistral-7B-summ-ia3-tuned
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SCE/Mistral-7B-summ-ia3-tuned](https://huggingface.co/SCE/Mistral-7B-summ-ia3-tuned) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_SCE__Mistral-7B-summ-ia3-tuned | [
"region:us"
] | 2024-01-29T08:16:19+00:00 | {"pretty_name": "Evaluation run of SCE/Mistral-7B-summ-ia3-tuned", "dataset_summary": "Dataset automatically created during the evaluation run of model [SCE/Mistral-7B-summ-ia3-tuned](https://huggingface.co/SCE/Mistral-7B-summ-ia3-tuned) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2024-01-29T08:16:43+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of SCE/Mistral-7B-summ-ia3-tuned
Dataset automatically created during the evaluation run of model SCE/Mistral-7B-summ-ia3-tuned 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 SCE/Mistral-7B-summ-ia3-tuned\n\n\n\nDataset automatically created during the evaluation run of model SCE/Mistral-7B-summ-ia3-tuned 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 SCE/Mistral-7B-summ-ia3-tuned\n\n\n\nDataset automatically created during the evaluation run of model SCE/Mistral-7B-summ-ia3-tuned 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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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of SCE/Mistral-7B-summ-ia3-tuned\n\n\n\nDataset automatically created during the evaluation run of model SCE/Mistral-7B-summ-ia3-tuned on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evalu... |
dc94e533bf344a06469464584db1201e43600e9f | # Webz.io News Dataset Repository
[https://github.com/Webhose/free-news-datasets](https://github.com/Webhose/free-news-datasets)
## Introduction
Welcome to the [Webz.io](https://webz.io) News Dataset Repository! This repository is created by [Webz.io](https://webz.io) and is dedicated to providing free datasets of p... | rangeva/Webz.io_News_Dataset_Repository | [
"task_categories:text-classification",
"size_categories:100M<n<1B",
"region:us"
] | 2024-01-29T08:16:22+00:00 | {"size_categories": ["100M<n<1B"], "task_categories": ["text-classification"], "pretty_name": "Webz.io News Dataset Repository"} | 2024-01-29T08:19:46+00:00 | [] | [] | TAGS
#task_categories-text-classification #size_categories-100M<n<1B #region-us
| # URL News Dataset Repository
URL
## Introduction
Welcome to the URL News Dataset Repository! This repository is created by URL and is dedicated to providing free datasets of publicly available news articles. We release new datasets weekly, each containing around 1,000 news articles focused on various themes, topics... | [
"# URL News Dataset Repository\n\nURL",
"## Introduction\n\nWelcome to the URL News Dataset Repository! This repository is created by URL and is dedicated to providing free datasets of publicly available news articles. We release new datasets weekly, each containing around 1,000 news articles focused on various t... | [
"TAGS\n#task_categories-text-classification #size_categories-100M<n<1B #region-us \n",
"# URL News Dataset Repository\n\nURL",
"## Introduction\n\nWelcome to the URL News Dataset Repository! This repository is created by URL and is dedicated to providing free datasets of publicly available news articles. We rel... | [
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"passage: TAGS\n#task_categories-text-classification #size_categories-100M<n<1B #region-us \n# URL News Dataset Repository\n\nURL## Introduction\n\nWelcome to the URL News Dataset Repository! This repository is created by URL and is dedicated to providing free datasets of publicly available news articles. We releas... |
8c2236bde08008b9290f4ea9b543a8028845c1f7 | <p align = 'center'>
<img width='150' src='./README.assets/stamp0546.png'>
</p>
<p align = 'center'> 🥕 </p>
<p align = 'center'> 如果兔兔的仓库对你有帮助的话点个⭐喵~ </p>
<p align = 'center'> If Tutu's repository is helpful to you, please give it a ⭐ meow~ </p>
<p align = 'center'> もしうさぎのリポジトリが役に立った場合は、⭐をぽちっとしてくださいにゃん~ </p>
<p ali... | MomoyamaSawa/Voice-KusanagiNene | [
"task_categories:other",
"task_categories:text-to-speech",
"task_categories:audio-to-audio",
"size_categories:1K<n<10K",
"language:ja",
"license:gpl-3.0",
"pjsk",
"草薙寧々",
"草薙宁宁",
"プロセカ",
"prsk",
"宁宁",
"region:us"
] | 2024-01-29T08:17:20+00:00 | {"language": ["ja"], "license": "gpl-3.0", "size_categories": ["1K<n<10K"], "task_categories": ["other", "text-to-speech", "audio-to-audio"], "pretty_name": "\u634f\u634f", "tags": ["pjsk", "\u8349\u8599\u5be7\u3005", "\u8349\u8599\u5b81\u5b81", "\u30d7\u30ed\u30bb\u30ab", "prsk", "\u5b81\u5b81"]} | 2024-01-29T10:51:51+00:00 | [] | [
"ja"
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| <p align = 'center'>
<img width='150' src='./URL
</p>
<p align = 'center'> </p>
<p align = 'center'> 如果兔兔的仓库对你有帮助的话点个⭐喵~ </p>
<p align = 'center'> If Tutu's repository is helpful to you, please give it a ⭐ meow~ </p>
<p align = 'center'> もしうさぎのリポジトリが役に立った場合は、⭐をぽちっとしてくださいにゃん~ </p>
<p align = 'center'> </p>
<p alig... | [
"# 简介\n\n* 草薙寧々 干声带标签数据集\n\n本数据集只收集了游戏内的一部分，并不是全部的宁宁干声语音，其中 nene_org.txt 是标签文件\n\npjsk 全部角色干声带标签数据集的话可以加QQ群：691795641，群公告里有网盘地址",
"# 参考\n\n* 声源归属：草薙寧々(CV:Machico)-「プロジェクトセカイ カラフルステージ！ feat. 初音ミク」",
"# TODO\n\n* （长期）补全宁宁语音，规范数据集格式。"
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"# 简介\n\n* 草薙寧々 干声带标签数据集\n\n本数据集只收集了游戏内的一部分，并不是全部的宁宁干声语音，其中 nene_org.txt 是标签文件\n\npjsk 全部角色干声带标签数据集的话可以加QQ群：... | [
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"passage: TAGS\n#task_categories-other #task_categories-text-to-speech #task_categories-audio-to-audio #size_categories-1K<n<10K #language-Japanese #license-gpl-3.0 #pjsk #草薙寧々 #草薙宁宁 #プロセカ #prsk #宁宁 #region-us \n# 简介\n\n* 草薙寧々 干声带标签数据集\n\n本数据集只收集了游戏内的一部分，并不是全部的宁宁干声语音，其中 nene_org.txt 是标签文件\n\npjsk 全部角色干声带标签数据集的话可以加Q... |
a67c52bf369545e98999b52b07116741e87a462c |
# Dataset Card for Evaluation run of SCE/Mistral-7B-summ-ia3-pruned10
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SCE/Mistral-7B-summ-ia3-pruned10](https://huggingface.co/SCE/Mistral-7B-summ-ia3-pruned10) on the [Open LLM Leaderboard](https://hug... | open-llm-leaderboard/details_SCE__Mistral-7B-summ-ia3-pruned10 | [
"region:us"
] | 2024-01-29T08:21:58+00:00 | {"pretty_name": "Evaluation run of SCE/Mistral-7B-summ-ia3-pruned10", "dataset_summary": "Dataset automatically created during the evaluation run of model [SCE/Mistral-7B-summ-ia3-pruned10](https://huggingface.co/SCE/Mistral-7B-summ-ia3-pruned10) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2024-01-29T08:22:20+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of SCE/Mistral-7B-summ-ia3-pruned10
Dataset automatically created during the evaluation run of model SCE/Mistral-7B-summ-ia3-pruned10 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... | [
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73168a13d8d88b06e0622843b3e61c40af12aed7 |
# Dataset Card for Evaluation run of SCE/Mistral-7B-summ-ia3-pruned20
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SCE/Mistral-7B-summ-ia3-pruned20](https://huggingface.co/SCE/Mistral-7B-summ-ia3-pruned20) on the [Open LLM Leaderboard](https://hug... | open-llm-leaderboard/details_SCE__Mistral-7B-summ-ia3-pruned20 | [
"region:us"
] | 2024-01-29T08:28:04+00:00 | {"pretty_name": "Evaluation run of SCE/Mistral-7B-summ-ia3-pruned20", "dataset_summary": "Dataset automatically created during the evaluation run of model [SCE/Mistral-7B-summ-ia3-pruned20](https://huggingface.co/SCE/Mistral-7B-summ-ia3-pruned20) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2024-01-29T08:28:29+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of SCE/Mistral-7B-summ-ia3-pruned20
Dataset automatically created during the evaluation run of model SCE/Mistral-7B-summ-ia3-pruned20 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 SCE/Mistral-7B-summ-ia3-pruned20\n\n\n\nDataset automatically created during the evaluation run of model SCE/Mistral-7B-summ-ia3-pruned20 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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8d5f712b46a120d008d5d9babd8c0f5ef76cf15b |
# Dataset Card for Evaluation run of SCE/Mistral-7B-summ-lora-tuned
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SCE/Mistral-7B-summ-lora-tuned](https://huggingface.co/SCE/Mistral-7B-summ-lora-tuned) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_SCE__Mistral-7B-summ-lora-tuned | [
"region:us"
] | 2024-01-29T08:34:23+00:00 | {"pretty_name": "Evaluation run of SCE/Mistral-7B-summ-lora-tuned", "dataset_summary": "Dataset automatically created during the evaluation run of model [SCE/Mistral-7B-summ-lora-tuned](https://huggingface.co/SCE/Mistral-7B-summ-lora-tuned) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2024-01-29T08:34:47+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of SCE/Mistral-7B-summ-lora-tuned
Dataset automatically created during the evaluation run of model SCE/Mistral-7B-summ-lora-tuned 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 cre... | [
"# Dataset Card for Evaluation run of SCE/Mistral-7B-summ-lora-tuned\n\n\n\nDataset automatically created during the evaluation run of model SCE/Mistral-7B-summ-lora-tuned 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 ... | [
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56aff8b052db2f350d0baba23a1d51fb2ab74954 |
# Dataset Card for ESSAI
## Dataset Description
- **Homepage:** https://clementdalloux.fr/?page_id=28
- **Pubmed:** False
- **Public:** False
- **Tasks:** TXTCLASS
We manually annotated two corpora from the biomedical field. The ESSAI corpus contains clinical trial protocols in French. They were mainly obtained f... | asus-aics/essai | [
"multilinguality:monolingual",
"language:fr",
"license:other",
"region:us"
] | 2024-01-29T09:04:44+00:00 | {"language": ["fr"], "license": "other", "multilinguality": "monolingual", "pretty_name": "ESSAI", "bigbio_language": ["French"], "bigbio_license_shortname": "DUA", "homepage": "https://clementdalloux.fr/?page_id=28", "bigbio_pubmed": false, "bigbio_public": false, "bigbio_tasks": ["TEXT_CLASSIFICATION"]} | 2024-01-29T09:11:03+00:00 | [] | [
"fr"
] | TAGS
#multilinguality-monolingual #language-French #license-other #region-us
|
# Dataset Card for ESSAI
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: TXTCLASS
We manually annotated two corpora from the biomedical field. The ESSAI corpus contains clinical trial protocols in French. They were mainly obtained from the National Cancer Institute The typical prot... | [
"# Dataset Card for ESSAI",
"## Dataset Description\n\n- Homepage: URL\n- Pubmed: False\n- Public: False\n- Tasks: TXTCLASS\n\n\nWe manually annotated two corpora from the biomedical field. The ESSAI corpus contains clinical trial protocols in French. They were mainly obtained from the National Cancer Institute T... | [
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"## Dataset Description\n\n- Homepage: URL\n- Pubmed: False\n- Public: False\n- Tasks: TXTCLASS\n\n\nWe manually annotated two corpora from the biomedical field. The ESSAI corpus contains clinical tri... | [
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"passage: TAGS\n#multilinguality-monolingual #language-French #license-other #region-us \n# Dataset Card for ESSAI## Dataset Description\n\n- Homepage: URL\n- Pubmed: False\n- Public: False\n- Tasks: TXTCLASS\n\n\nWe manually annotated two corpora from the biomedical field. The ESSAI corpus contains clinical trial ... |
a2aa3f33f6d98552c1e6615b50de138e222558f1 |
This dataset is contains json formatted in TRL's [conversational format](https://huggingface.co/docs/trl/main/en/sft_trainer#dataset-format-support) as well as a chatml formatted text field.
| gardner/SlimOrca-Dedup-trl-conversational-chatml | [
"task_categories:text-generation",
"task_categories:conversational",
"language:en",
"license:mit",
"chatml",
"trl",
"conversational",
"region:us"
] | 2024-01-29T09:17:56+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["text-generation", "conversational"], "dataset_info": {"features": [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "chatml", "dtype": "string"}], "splits": [{"name": "train", "num_bytes":... | 2024-01-29T09:22:55+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-conversational #language-English #license-mit #chatml #trl #conversational #region-us
|
This dataset is contains json formatted in TRL's conversational format as well as a chatml formatted text field.
| [] | [
"TAGS\n#task_categories-text-generation #task_categories-conversational #language-English #license-mit #chatml #trl #conversational #region-us \n"
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46
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"passage: TAGS\n#task_categories-text-generation #task_categories-conversational #language-English #license-mit #chatml #trl #conversational #region-us \n"
] |
b219303e8e477ac1aa6290e286a25f883d91dcbf |
# Dataset Card for NTCIR-13 MedWeb
## Dataset Description
- **Homepage:** http://research.nii.ac.jp/ntcir/permission/ntcir-13/perm-en-MedWeb.html
- **Pubmed:** False
- **Public:** False
- **Tasks:** TRANSL,TXTCLASS
NTCIR-13 MedWeb (Medical Natural Language Processing for Web Document) task requires
to perform a m... | asus-aics/ntcir_13_medweb | [
"multilinguality:multilingual",
"language:en",
"language:zh",
"language:ja",
"license:cc-by-4.0",
"region:us"
] | 2024-01-29T09:18:05+00:00 | {"language": ["en", "zh", "ja"], "license": "cc-by-4.0", "multilinguality": "multilingual", "pretty_name": "NTCIR-13 MedWeb", "bigbio_language": ["English", "Chinese", "Japanese"], "bigbio_license_shortname": "CC_BY_4p0", "homepage": "http://research.nii.ac.jp/ntcir/permission/ntcir-13/perm-en-MedWeb.html", "bigbio_pub... | 2024-01-29T09:18:37+00:00 | [] | [
"en",
"zh",
"ja"
] | TAGS
#multilinguality-multilingual #language-English #language-Chinese #language-Japanese #license-cc-by-4.0 #region-us
|
# Dataset Card for NTCIR-13 MedWeb
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: TRANSL,TXTCLASS
NTCIR-13 MedWeb (Medical Natural Language Processing for Web Document) task requires
to perform a multi-label classification that labels for eight diseases/symptoms must
be assigned t... | [
"# Dataset Card for NTCIR-13 MedWeb",
"## Dataset Description\n\n- Homepage: URL\n- Pubmed: False\n- Public: False\n- Tasks: TRANSL,TXTCLASS\n\n\nNTCIR-13 MedWeb (Medical Natural Language Processing for Web Document) task requires\nto perform a multi-label classification that labels for eight diseases/symptoms mu... | [
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"## Dataset Description\n\n- Homepage: URL\n- Pubmed: False\n- Public: False\n- Tasks: TRANSL,TXTCLASS\n\n\nNTCIR-13 MedWeb (Medical Natural Langua... | [
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"passage: TAGS\n#multilinguality-multilingual #language-English #language-Chinese #language-Japanese #license-cc-by-4.0 #region-us \n# Dataset Card for NTCIR-13 MedWeb## Dataset Description\n\n- Homepage: URL\n- Pubmed: False\n- Public: False\n- Tasks: TRANSL,TXTCLASS\n\n\nNTCIR-13 MedWeb (Medical Natural Language ... |
3fce95ce6eead304ae1f7bc789a37388401aafe1 | # Dataset Card for "fol-00"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | unigram/fol-00 | [
"region:us"
] | 2024-01-29T10:16:39+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": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": ... | 2024-02-15T16:06:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fol-00"
More Information needed | [
"# Dataset Card for \"fol-00\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"fol-00\"\n\nMore Information needed"
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798adc8238fdb929ba527d96fbcd2beabe4d990d | # ChartBench: A Benchmark for Complex Visual Reasoning in Charts
<a href='https://arxiv.org/abs/2312.15915'><img src='https://img.shields.io/badge/arXiv-2312.15915-b31b1b.svg'></a> <a href='https://github.com/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> <a href='https://github.com/buaacyw/Gaussia... | SincereX/ChartBench-Demo | [
"arxiv:2312.15915",
"region:us"
] | 2024-01-29T10:20:41+00:00 | {} | 2024-01-29T11:10:05+00:00 | [
"2312.15915"
] | [] | TAGS
#arxiv-2312.15915 #region-us
| # ChartBench: A Benchmark for Complex Visual Reasoning in Charts
<a href='URL src='URL <a href='URL src='URL <a href='URL src='URL ![Dataset](URL
## Introduction
We propose the challenging ChartBench to evaluate the chart recognition of MLLMs.
!ChartBench Pipeline.
We improve the *Acc+* metric to avoid the random... | [
"# ChartBench: A Benchmark for Complex Visual Reasoning in Charts\n\n<a href='URL src='URL <a href='URL src='URL <a href='URL src='URL ![Dataset](URL",
"## Introduction\n\nWe propose the challenging ChartBench to evaluate the chart recognition of MLLMs. \n!ChartBench Pipeline.\n\nWe improve the *Acc+* metric to ... | [
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9cf58e14071a9a885d0f868d00dac34163b6f968 | # Dataset Card for "chonk-data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mixamrepijey/chonk-data | [
"region:us"
] | 2024-01-29T10:42:45+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 8522685, "num_examples": 718}, {"name": "train", "num_bytes": 76421581, "num_examples": 6434}], "download_size": 36240875, "dataset_size": 84944266}, "configs": [{"con... | 2024-01-30T14:02:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chonk-data"
More Information needed | [
"# Dataset Card for \"chonk-data\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"chonk-data\"\n\nMore Information needed"
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3a0a0c7227ec34e2cf6bbcaca5a89f1959584de3 | # Dataset Card for "Bollywood_songs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | eswardivi/Bollywood_songs | [
"language:en",
"region:us"
] | 2024-01-29T10:52:50+00:00 | {"language": ["en"], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5387340, "num_examples": 999}], "download_size": 2942424, "dataset_size": 5387340}, "configs": [{"config_... | 2024-02-04T13:01:39+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| # Dataset Card for "Bollywood_songs"
More Information needed | [
"# Dataset Card for \"Bollywood_songs\"\n\nMore Information needed"
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83982424d68aa2e25e8d9beb23ffac63f4e86537 |
# Dataset Card for Evaluation run of SC99/Mistral-7B-summ-lora-tuned-8h
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC99/Mistral-7B-summ-lora-tuned-8h](https://huggingface.co/SC99/Mistral-7B-summ-lora-tuned-8h) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_SC99__Mistral-7B-summ-lora-tuned-8h | [
"region:us"
] | 2024-01-29T11:32:14+00:00 | {"pretty_name": "Evaluation run of SC99/Mistral-7B-summ-lora-tuned-8h", "dataset_summary": "Dataset automatically created during the evaluation run of model [SC99/Mistral-7B-summ-lora-tuned-8h](https://huggingface.co/SC99/Mistral-7B-summ-lora-tuned-8h) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2024-01-29T11:32:35+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of SC99/Mistral-7B-summ-lora-tuned-8h
Dataset automatically created during the evaluation run of model SC99/Mistral-7B-summ-lora-tuned-8h on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has ... | [
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0f82f241b2dd5fb7e2d7c1edcbf2f393702a5cd3 | # Dataset Card for "ultrafeedback-capybara-mix-5k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | argilla/ultrafeedback-capybara-mix-5k | [
"region:us"
] | 2024-01-29T11:37:02+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "conversation", "list": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string... | 2024-01-29T11:37:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrafeedback-capybara-mix-5k"
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4585332f52ebfe21df719590a5cae8630ec79fef |
# Pandora Instruct
An instruction dataset for Supervised fine-tuning of the Pandora Large Language Model (LLM).
The dataset is based on the existing datasets:
- (`teknium/openhermes`)[https://huggingface.co/datasets/teknium/openhermes]
- (`ise-uiuc/magicoder-evol-instruct-110k`)[https://huggingface.co/datasets/ise-... | danilopeixoto/pandora-instruct | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"license:bsd-3-clause",
"fine-tuning",
"function-calling",
"instruct",
"sft",
"region:us"
] | 2024-01-29T11:54:56+00:00 | {"license": "bsd-3-clause", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "pretty_name": "Pandora Instruct", "tags": ["fine-tuning", "function-calling", "instruct", "sft"]} | 2024-01-29T11:56:00+00:00 | [] | [] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #license-bsd-3-clause #fine-tuning #function-calling #instruct #sft #region-us
|
# Pandora Instruct
An instruction dataset for Supervised fine-tuning of the Pandora Large Language Model (LLM).
The dataset is based on the existing datasets:
- ('teknium/openhermes')[URL
- ('ise-uiuc/magicoder-evol-instruct-110k')[URL
- ('ise-uiuc/magicoder-oss-instruct-75k')[URL
- ('glaiveai/glaive-function-calli... | [
"# Pandora Instruct\n\nAn instruction dataset for Supervised fine-tuning of the Pandora Large Language Model (LLM).\n\nThe dataset is based on the existing datasets:\n\n- ('teknium/openhermes')[URL\n- ('ise-uiuc/magicoder-evol-instruct-110k')[URL\n- ('ise-uiuc/magicoder-oss-instruct-75k')[URL\n- ('glaiveai/glaive-f... | [
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ac9d30ac7351c5f9bb31970b7ae82182b8b4f5e8 | # Dataset Card for "LogicNLI"
```bib
@inproceedings{tian-etal-2021-diagnosing,
title = "Diagnosing the First-Order Logical Reasoning Ability Through {L}ogic{NLI}",
author = "Tian, Jidong and
Li, Yitian and
Chen, Wenqing and
Xiao, Liqiang and
He, Hao and
Jin, Yaohui",
edit... | tasksource/LogicNLI | [
"region:us"
] | 2024-01-29T12:10:24+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": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": ... | 2024-01-29T12:26:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "LogicNLI"
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fd7648756a1586956e13726d43627480738a64cd | About 2 years of IoT-based smart parking lot usage data collected on ThingSpeak which has the slot availability information with respect to timestamps. | suwesh/IoT-based-SmartParkingSystem-dataset | [
"license:ecl-2.0",
"region:us"
] | 2024-01-29T12:50:13+00:00 | {"license": "ecl-2.0"} | 2024-01-29T12:52:42+00:00 | [] | [] | TAGS
#license-ecl-2.0 #region-us
| About 2 years of IoT-based smart parking lot usage data collected on ThingSpeak which has the slot availability information with respect to timestamps. | [] | [
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8a90da59605d99ae1423145e7823611a4ff0c21f |
The **IndustrialDetectionStaticCameras** dataset is divided into five primary files named `videoY`, where `Y=1,2,3,4,5`. Each `videoY` folder contains the following:
- The video of the scene in `.mp4` format: `videoY.mp4`
- A folder with the images of each frame of the video: `imgs_videoY`
- A folder that includes... | jjldo21/IndustrialDetectionStaticCameras | [
"task_categories:object-detection",
"size_categories:1K<n<10K",
"license:mit",
"industry",
"doi:10.57967/hf/1710",
"region:us"
] | 2024-01-29T13:08:56+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["object-detection"], "tags": ["industry"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "labels", "sequence": [{"name": "object_type", "dtype": "string"}, {"name": "truncation", "dtype": "float32"}, {"name": "occlusio... | 2024-02-07T20:41:45+00:00 | [] | [] | TAGS
#task_categories-object-detection #size_categories-1K<n<10K #license-mit #industry #doi-10.57967/hf/1710 #region-us
|
The IndustrialDetectionStaticCameras dataset is divided into five primary files named 'videoY', where 'Y=1,2,3,4,5'. Each 'videoY' folder contains the following:
- The video of the scene in '.mp4' format: 'videoY.mp4'
- A folder with the images of each frame of the video: 'imgs_videoY'
- A folder that includes for... | [
"### Download the dataset:"
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071fbcb9f2ac471ad5f8cc4474516cfce547f6c6 | {"text": "### Human: Who founded ABCDE Capital in 2022. ### Assistant: Hey! ABCDE Capital is founded by Du Jun and BMAN in 2022."}
| syhabcde/loratest | [
"region:us"
] | 2024-01-29T13:11:20+00:00 | {} | 2024-01-29T13:48:04+00:00 | [] | [] | TAGS
#region-us
| {"text": "### Human: Who founded ABCDE Capital in 2022. ### Assistant: Hey! ABCDE Capital is founded by Du Jun and BMAN in 2022."}
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617724e45705bd1ac4446901ff8a761955541455 | If you, like me, are interested in using AI to win sports, reach out to me to collaborate on this project.
The purpose of this dataset would be to accomplish numerous tasks including but no limited to
creating an AI nfl head coach, general manager, refs, predicting outcomes...
Numerous machine-learning steps need t... | dolly-the-sheep/NFL_game_footage | [
"region:us"
] | 2024-01-29T13:14:31+00:00 | {} | 2024-01-29T13:46:59+00:00 | [] | [] | TAGS
#region-us
| If you, like me, are interested in using AI to win sports, reach out to me to collaborate on this project.
The purpose of this dataset would be to accomplish numerous tasks including but no limited to
creating an AI nfl head coach, general manager, refs, predicting outcomes...
Numerous machine-learning steps need t... | [] | [
"TAGS\n#region-us \n"
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9372de27599095ee086e9ae0701e61503d36243b |
# Dataset Card for Evaluation run of SC99/Mistral-7B-summ-ia3-tuned-8h
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC99/Mistral-7B-summ-ia3-tuned-8h](https://huggingface.co/SC99/Mistral-7B-summ-ia3-tuned-8h) on the [Open LLM Leaderboard](https://... | open-llm-leaderboard/details_SC99__Mistral-7B-summ-ia3-tuned-8h | [
"region:us"
] | 2024-01-29T13:32:34+00:00 | {"pretty_name": "Evaluation run of SC99/Mistral-7B-summ-ia3-tuned-8h", "dataset_summary": "Dataset automatically created during the evaluation run of model [SC99/Mistral-7B-summ-ia3-tuned-8h](https://huggingface.co/SC99/Mistral-7B-summ-ia3-tuned-8h) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFac... | 2024-01-29T13:32:57+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of SC99/Mistral-7B-summ-ia3-tuned-8h
Dataset automatically created during the evaluation run of model SC99/Mistral-7B-summ-ia3-tuned-8h on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has be... | [
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ff1009f28666c1e57cee834af1d5fa88f4014275 |
# Dataset Card for Dataset Name
This is a complement to the TREC CaST (2020-22) datasets, with pre-computed offset relative to the original files. | irds/trec_cast_offsets | [
"license:lgpl",
"region:us"
] | 2024-01-29T13:55:07+00:00 | {"license": "lgpl"} | 2024-01-31T13:16:12+00:00 | [] | [] | TAGS
#license-lgpl #region-us
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b1c2f5f4a21e54d9911d6eb57d1520eb1795b21a |
A german translation for the [stingning/ultrachat](https://huggingface.co/datasets/stingning/ultrachat) dataset.
Extracted from [seedboxventures/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxventures/multitask_german_examples_32k).
Translation created by [seedbox ai](https://huggingface.co/s... | mayflowergmbh/ultra-chat_de | [
"task_categories:text-generation",
"language:de",
"region:us"
] | 2024-01-29T14:00:16+00:00 | {"language": ["de"], "task_categories": ["text-generation"]} | 2024-02-14T16:30:34+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #region-us
|
A german translation for the stingning/ultrachat dataset.
Extracted from seedboxventures/multitask_german_examples_32k.
Translation created by seedbox ai for KafkaLM ️.
Available for finetuning in hiyouga/LLaMA-Factory. | [] | [
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0eaf79d1810fda2427edf22f2d7b37212e2b8d54 |
A german translation for the [jondurbin/airoboros-3.0](https://huggingface.co/datasets/jondurbin/airoboros-3.0) dataset.
Extracted from [seedboxventures/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxventures/multitask_german_examples_32k).
Translation created by [seedbox ai](https://huggingf... | mayflowergmbh/airoboros-3.0_de | [
"task_categories:text-generation",
"language:de",
"region:us"
] | 2024-01-29T14:07:04+00:00 | {"language": ["de"], "task_categories": ["text-generation"]} | 2024-02-14T16:31:12+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #region-us
|
A german translation for the jondurbin/airoboros-3.0 dataset.
Extracted from seedboxventures/multitask_german_examples_32k.
Translation created by seedbox ai for KafkaLM ️.
Available for finetuning in hiyouga/LLaMA-Factory. | [] | [
"TAGS\n#task_categories-text-generation #language-German #region-us \n"
] | [
21
] | [
"passage: TAGS\n#task_categories-text-generation #language-German #region-us \n"
] |
bf495bf3b68bb8b4fa4d3127dacc83018def27f7 |
A german translation for the [booksum](https://huggingface.co/datasets/togethercomputer/Long-Data-Collections) dataset.
Extracted from [seedboxventures/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxventures/multitask_german_examples_32k).
Translation created by [seedbox ai](https://huggingfa... | mayflowergmbh/booksum_de | [
"task_categories:text-generation",
"language:de",
"region:us"
] | 2024-01-29T14:13:12+00:00 | {"language": ["de"], "task_categories": ["text-generation"]} | 2024-02-14T16:34:55+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #region-us
|
A german translation for the booksum dataset.
Extracted from seedboxventures/multitask_german_examples_32k.
Translation created by seedbox ai for KafkaLM ️.
Available for finetuning in hiyouga/LLaMA-Factory. | [] | [
"TAGS\n#task_categories-text-generation #language-German #region-us \n"
] | [
21
] | [
"passage: TAGS\n#task_categories-text-generation #language-German #region-us \n"
] |
dbbac276d96ce0307fea064e402d09c0f6f3b6c5 |
A german translation for the [cognitivecomputations/dolphin](https://huggingface.co/datasets/cognitivecomputations/dolphin) dataset.
Extracted from [seedboxventures/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxventures/multitask_german_examples_32k).
Translation created by [seedbox ai](http... | mayflowergmbh/dolphin_de | [
"task_categories:text-generation",
"language:de",
"region:us"
] | 2024-01-29T14:21:18+00:00 | {"language": ["de"], "task_categories": ["text-generation"]} | 2024-02-14T16:29:16+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #region-us
|
A german translation for the cognitivecomputations/dolphin dataset.
Extracted from seedboxventures/multitask_german_examples_32k.
Translation created by seedbox ai for KafkaLM ️.
Available for finetuning in hiyouga/LLaMA-Factory. | [] | [
"TAGS\n#task_categories-text-generation #language-German #region-us \n"
] | [
21
] | [
"passage: TAGS\n#task_categories-text-generation #language-German #region-us \n"
] |
e86dded66a93ff34743942c2420301c28eed1d6f |
A german translation for the [wiki_qa](https://huggingface.co/datasets/wiki_qa) dataset.
Extracted from [seedboxventures/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxventures/multitask_german_examples_32k).
Translation created by [seedbox ai](https://huggingface.co/seedboxai) for [KafkaLM](... | mayflowergmbh/wiki_qa_de | [
"task_categories:text-generation",
"language:de",
"region:us"
] | 2024-01-29T14:24:44+00:00 | {"language": ["de"], "task_categories": ["text-generation"]} | 2024-02-14T16:31:54+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #region-us
|
A german translation for the wiki_qa dataset.
Extracted from seedboxventures/multitask_german_examples_32k.
Translation created by seedbox ai for KafkaLM ️.
Available for finetuning in hiyouga/LLaMA-Factory. | [] | [
"TAGS\n#task_categories-text-generation #language-German #region-us \n"
] | [
21
] | [
"passage: TAGS\n#task_categories-text-generation #language-German #region-us \n"
] |
d34305cc98acc67e6fa9cd46b7b7e7223194c17a |
# Dataset Card for Evaluation run of Qwen/Qwen2-beta-14B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Qwen/Qwen2-beta-14B](https://huggingface.co/Qwen/Qwen2-beta-14B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_l... | open-llm-leaderboard/details_Qwen__Qwen2-beta-14B | [
"region:us"
] | 2024-01-29T15:40:07+00:00 | {"pretty_name": "Evaluation run of Qwen/Qwen2-beta-14B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Qwen/Qwen2-beta-14B](https://huggingface.co/Qwen/Qwen2-beta-14B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset ... | 2024-01-30T11:39:46+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Qwen/Qwen2-beta-14B
Dataset automatically created during the evaluation run of model Qwen/Qwen2-beta-14B 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 2 run(s). Ea... | [
"# Dataset Card for Evaluation run of Qwen/Qwen2-beta-14B\n\n\n\nDataset automatically created during the evaluation run of model Qwen/Qwen2-beta-14B 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 from ... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of Qwen/Qwen2-beta-14B\n\n\n\nDataset automatically created during the evaluation run of model Qwen/Qwen2-beta-14B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe datas... | [
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05fc56a9b51758d872dfc2ea2113666e448ee82a | # LongAlign-10k
<p align="center">
🤗 <a href="https://huggingface.co/datasets/THUDM/LongAlign-10k" target="_blank">[LongAlign Dataset] </a> • 💻 <a href="https://github.com/THUDM/LongAlign" target="_blank">[Github Repo]</a> • 📃 <a href="https://arxiv.org/abs/2401.18058" target="_blank">[LongAlign Paper]</a>
</p>
... | THUDM/LongAlign-10k | [
"task_categories:conversational",
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"language:zh",
"Long Context",
"sft",
"arxiv:2401.18058",
"region:us"
] | 2024-01-29T15:49:36+00:00 | {"language": ["en", "zh"], "size_categories": ["10K<n<100K"], "task_categories": ["conversational", "question-answering"], "tags": ["Long Context", "sft"]} | 2024-02-01T07:30:09+00:00 | [
"2401.18058"
] | [
"en",
"zh"
] | TAGS
#task_categories-conversational #task_categories-question-answering #size_categories-10K<n<100K #language-English #language-Chinese #Long Context #sft #arxiv-2401.18058 #region-us
| LongAlign-10k
=============
[[LongAlign Dataset]](URL target=) • [[Github Repo]](URL target=) • [[LongAlign Paper]](URL target=)
LongAlign is the first full recipe for LLM alignment on long context. We propose the LongAlign-10k dataset, containing 10,000 long instruction data of 8k-64k in length. We investigate ... | [] | [
"TAGS\n#task_categories-conversational #task_categories-question-answering #size_categories-10K<n<100K #language-English #language-Chinese #Long Context #sft #arxiv-2401.18058 #region-us \n"
] | [
66
] | [
"passage: TAGS\n#task_categories-conversational #task_categories-question-answering #size_categories-10K<n<100K #language-English #language-Chinese #Long Context #sft #arxiv-2401.18058 #region-us \n"
] |
7e4ba1fa2e3636b15e5291b6c51ef69cdd65c746 |
Hi! This is an experimental dataset concept. I've been working with my good buddy [@Sao](https://huggingface.co/Sao10K) on an NSFW General Instruct Dataset. We've been working together at it for a while.
|--- This is v1, it is *not good* as we decided to use samples of the No Robots dataset for instruction, using a s... | Himitsui/Lewd-Assistant-v1 | [
"language:en",
"license:cc-by-nc-4.0",
"not-for-all-audiences",
"region:us"
] | 2024-01-29T16:02:28+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | 2024-01-29T16:18:31+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-nc-4.0 #not-for-all-audiences #region-us
|
Hi! This is an experimental dataset concept. I've been working with my good buddy @Sao on an NSFW General Instruct Dataset. We've been working together at it for a while.
|--- This is v1, it is *not good* as we decided to use samples of the No Robots dataset for instruction, using a small model to run the dataset pre... | [] | [
"TAGS\n#language-English #license-cc-by-nc-4.0 #not-for-all-audiences #region-us \n"
] | [
30
] | [
"passage: TAGS\n#language-English #license-cc-by-nc-4.0 #not-for-all-audiences #region-us \n"
] |
b0b8d00ea5530fd422b69513fb209199de83003f |
A reformatted version of the [FreedomIntelligence/evol-instruct-deutsch](https://huggingface.co/datasets/FreedomIntelligence/evol-instruct-deutsch) dataset.
Extracted from [seedboxventures/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxventures/multitask_german_examples_32k).
Translation crea... | mayflowergmbh/evol-instruct_de | [
"task_categories:text-generation",
"language:de",
"region:us"
] | 2024-01-29T16:28:25+00:00 | {"language": ["de"], "task_categories": ["text-generation"]} | 2024-02-14T16:32:21+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #region-us
|
A reformatted version of the FreedomIntelligence/evol-instruct-deutsch dataset.
Extracted from seedboxventures/multitask_german_examples_32k.
Translation created by seedbox ai for KafkaLM ️.
Available for finetuning in hiyouga/LLaMA-Factory. | [] | [
"TAGS\n#task_categories-text-generation #language-German #region-us \n"
] | [
21
] | [
"passage: TAGS\n#task_categories-text-generation #language-German #region-us \n"
] |
73d5c75cbc45b48371f3c543f6425b7415a5d4d8 | **Synthetic data in MultipanelVQA**
Paper: Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA [(arXiv)](https://arxiv.org/abs/2401.15847)
Website: [https://sites.google.com/view/multipanelvqa/home](https://sites.google.com/view/multipanelvqa/home)
MultipanelVQA includes both [real-worl... | yfan1997/MultipanelVQA_synthetic | [
"license:cc-by-4.0",
"arxiv:2401.15847",
"region:us"
] | 2024-01-29T16:41:02+00:00 | {"license": "cc-by-4.0"} | 2024-01-31T06:13:41+00:00 | [
"2401.15847"
] | [] | TAGS
#license-cc-by-4.0 #arxiv-2401.15847 #region-us
| Synthetic data in MultipanelVQA
Paper: Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA (arXiv)
Website: URL
MultipanelVQA includes both real-world data and synthetic data. | [] | [
"TAGS\n#license-cc-by-4.0 #arxiv-2401.15847 #region-us \n"
] | [
24
] | [
"passage: TAGS\n#license-cc-by-4.0 #arxiv-2401.15847 #region-us \n"
] |
bc5ff1864d26a4dbf5e8344f6a77533ce20e2bf6 | # Dataset Card for "quesst14_all_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/quesst14_all_unit | [
"region:us"
] | 2024-01-29T17:29:58+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec_hifi_24k_320d", "path": "data/academicodec_hifi_2... | 2024-01-29T17:35:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quesst14_all_unit"
More Information needed | [
"# Dataset Card for \"quesst14_all_unit\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quesst14_all_unit\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"quesst14_all_unit\"\n\nMore Information needed"
] |
01813b681a11e548b2d3b7184d1bc17c115dc17c | # Dataset Card for "VietnameseMedicineQA-raw-parquet"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tmnam20/VietnameseMedicineQA-raw-parquet | [
"region:us"
] | 2024-01-29T17:59:40+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "__key__", "dtype": "string"}, {"name": "__url__", "dtype": "string"}, {"name": "json", "list": [{"name": "answer", "dtype": "string"}, {"name": "article_url", "dtype": "string"},... | 2024-02-02T05:38:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VietnameseMedicineQA-raw-parquet"
More Information needed | [
"# Dataset Card for \"VietnameseMedicineQA-raw-parquet\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VietnameseMedicineQA-raw-parquet\"\n\nMore Information needed"
] | [
6,
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] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VietnameseMedicineQA-raw-parquet\"\n\nMore Information needed"
] |
6ebfe30634bad9dea1cedac58905bb9a62abfe92 | # Dataset Card for "hf-codegen_v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | treezy254/hf-codegen_v1 | [
"region:us"
] | 2024-01-29T18:15:57+00:00 | {"dataset_info": {"features": [{"name": "repo_id", "dtype": "string"}, {"name": "file_path", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 20203861, "num_examples": 1776}], "download_size": 5927051, "dataset_size":... | 2024-01-29T18:16:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hf-codegen_v1"
More Information needed | [
"# Dataset Card for \"hf-codegen_v1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hf-codegen_v1\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"hf-codegen_v1\"\n\nMore Information needed"
] |
a12e9ff393a28b183d44ba6c62217a5a7b60e359 | # Dataset Card for "cowese_multiplechoice_top2vec"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tomashs/cowese_multiplechoice_top2vec | [
"region:us"
] | 2024-01-29T18:17:59+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": "text", "dtype": "string"}, {"name": "short_form", "dtype": "string"}, {"name": "long_form", "dty... | 2024-01-29T18:19:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cowese_multiplechoice_top2vec"
More Information needed | [
"# Dataset Card for \"cowese_multiplechoice_top2vec\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cowese_multiplechoice_top2vec\"\n\nMore Information needed"
] | [
6,
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] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cowese_multiplechoice_top2vec\"\n\nMore Information needed"
] |
f2ff404c9b9437fd0a701e679768a5d9ca36467b |
This is data from the Amazon Armbench dataset (https://armbench.s3.amazonaws.com/index.html).
Each image is labeled with the failure mode {'nominal', 'package_defect', 'multi_pick'} in the 'label' field.
Failures are further specified in the 'sublabel' field {book_jacket', 'open_book_jacket', 'open_book', 'partial_... | correll/armbench_defect_dataset | [
"license:cc-by-4.0",
"region:us"
] | 2024-01-29T18:55:04+00:00 | {"license": "cc-by-4.0", "dataset_info": {"features": [{"name": "rgb", "dtype": "image"}, {"name": "meta", "struct": [{"name": "id", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "polygon", "sequence": {"sequence": "int64"}}, {"name": "sublabel", "dtype": "string"}]}], "splits": [{"name": "train", ... | 2024-01-30T00:05:07+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
This is data from the Amazon Armbench dataset (URL
Each image is labeled with the failure mode {'nominal', 'package_defect', 'multi_pick'} in the 'label' field.
Failures are further specified in the 'sublabel' field {book_jacket', 'open_book_jacket', 'open_book', 'partial_box', 'empty_bag', 'torn_bag', 'open_box', ... | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
] |
b53f216b0e15d7a6a70f0068674fb2b10eceeaf0 |
Combining smaller python code datasets into a larger one.
Changed format to system, instruction, output.
Built from:
- dataset1: nickrosh/Evol-Instruct-Code-80k-v1
- dataset2: ehartford/dolphin-coder
- dataset3: iamtarun/python_code_instructions_18k_alpaca
- dataset4: iamtarun/python_code_instructions_18k_alpaca
- d... | jtatman/combined_coder_python | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"code",
"python",
"region:us"
] | 2024-01-29T18:55:56+00:00 | {"size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "system", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 9... | 2024-01-29T19:19:52+00:00 | [] | [] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #code #python #region-us
|
Combining smaller python code datasets into a larger one.
Changed format to system, instruction, output.
Built from:
- dataset1: nickrosh/Evol-Instruct-Code-80k-v1
- dataset2: ehartford/dolphin-coder
- dataset3: iamtarun/python_code_instructions_18k_alpaca
- dataset4: iamtarun/python_code_instructions_18k_alpaca
- d... | [] | [
"TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #code #python #region-us \n"
] | [
34
] | [
"passage: TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #code #python #region-us \n"
] |
4f91b9efa47a43ca959b4b6024a263a9f3a40359 | # Dataset Card for "utility_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | wentingzhao/utility_qa | [
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] | 2024-01-29T18:59:25+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"], "dataset_info": [{"config_name": "bbc", "features": [{"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answerable", "dtyp... | 2024-02-01T19:03:44+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-English #license-mit #region-us
| # Dataset Card for "utility_qa"
More Information needed | [
"# Dataset Card for \"utility_qa\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-question-answering #size_categories-1K<n<10K #language-English #license-mit #region-us \n",
"# Dataset Card for \"utility_qa\"\n\nMore Information needed"
] | [
39,
14
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"passage: TAGS\n#task_categories-question-answering #size_categories-1K<n<10K #language-English #license-mit #region-us \n# Dataset Card for \"utility_qa\"\n\nMore Information needed"
] |
cbc6599b28ad589c6edca8c3f00afc7023719219 | ---
# 💡为确保数据的合理使用，若要获得全部数据，请通过如上递交您的信息。
# 💡若希望下载已公开的数据，请访问[bai-roleplay/evol-character-200](https://huggingface.co/datasets/bai-roleplay/evol-character-200)
---
# Evol-character 数据集
[<span style="color:green">中文</span>](../main/README.md) [<span style="color:orange">English</span>](../main/README_en.md)
- [Ev... | bai-roleplay/evol-character-entire | [
"task_categories:text-generation",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2024-01-29T19:22:44+00:00 | {"language": ["zh"], "license": "apache-2.0", "task_categories": ["text-generation"], "pretty_name": "Role-playing Dataset", "configs": [{"config_name": "evol-character-gpt3.5", "data_files": "evol-character-gpt3.5.json"}, {"config_name": "evol-character-male-gpt3.5", "data_files": "evol-character-male-gpt3.5.json"}, {... | 2024-02-01T09:23:28+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-generation #language-Chinese #license-apache-2.0 #region-us
|
---
为确保数据的合理使用，若要获得全部数据，请通过如上递交您的信息。
================================
若希望下载已公开的数据，请访问bai-roleplay/evol-character-200
==============================================
---
Evol-character 数据集
==================
中文 English
* Evol-character 数据集
+ 下载数据集
+ 数据生成框架
+ 数据结构
+ 与现有数据集对比
- 现有角色扮演数据集
- 我们的优势
+ ... | [
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02ca50e0e06b49530719ea8cdee9c6e2588668dc |
Datasets used in the paper "World Models via Policy-Guided Trajectory Diffusion" by Marc Rigter, Jun Yamada, and Ingmar Posner.
For the accompanying code, please see the Github repository [polygrad-world-models](https://github.com/marc-rigter/polygrad-world-models). | marcrigter/polygrad-wm-datasets | [
"license:mit",
"region:us"
] | 2024-01-29T19:52:50+00:00 | {"license": "mit"} | 2024-01-29T21:19:29+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Datasets used in the paper "World Models via Policy-Guided Trajectory Diffusion" by Marc Rigter, Jun Yamada, and Ingmar Posner.
For the accompanying code, please see the Github repository polygrad-world-models. | [] | [
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7a70d41fb50f86bc07ab59bc68bbcfbde652d12f |
# Dataset Card for Kazanexpress products
### Dataset Summary
This dataset was scraped from product pages on the Russian marketplace [Kazanexpress](https://kazanexpress.ru). It includes all information from the product card and metadata from the API. The dataset was collected by processing around 3 million products, ... | nyuuzyou/ke-products | [
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|
# Dataset Card for Kazanexpress products
### Dataset Summary
This dataset was scraped from product pages on the Russian marketplace Kazanexpress. It includes all information from the product card and metadata from the API. The dataset was collected by processing around 3 million products, starting from the first one... | [
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a275ac4daa1738f5ef4cc95a17b8edb99f37d869 | # Dataset Card for "ultrachat_sft_instruction_format"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jtatman/ultrachat_sft_instruction_format | [
"region:us"
] | 2024-01-29T20:03:50+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2605877996, "num_examples": 657794}], "download_size": 1259509466, "dataset_size": 26058... | 2024-01-29T20:13:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrachat_sft_instruction_format"
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5477773674c591dd422a95fd3793791b1a4a235d | # Dataset Card for "ultrachat_gen_instruction_format"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jtatman/ultrachat_gen_instruction_format | [
"region:us"
] | 2024-01-29T20:29:25+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2185075786, "num_examples": 551972}], "download_size": 1109528314, "dataset_size": 21850... | 2024-01-29T20:39:28+00:00 | [] | [] | TAGS
#region-us
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9c384e32fe8d67cf11260eb4d3b10965e811d4fb | # Dataset Card for "ultrafeedback_binarized_narrow_unlabeled"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Asap7772/ultrafeedback_binarized_narrow_unlabeled | [
"region:us"
] | 2024-01-29T21:24:03+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "reward_chosen", "dtype": "int64"}, {"name": "reward_rejected", "dtype": "int64"}, {"name": "score_chosen", "dtype": "i... | 2024-01-29T21:24:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrafeedback_binarized_narrow_unlabeled"
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36e6aef85a785b7d22cbe9f127e4a2e1ca87e2e5 |
# Dataset Card for Sypder-Syn
[Spyder-Syn](https://github.com/ygan/Spider-Syn) is a human curated variant of the [Spider](https://yale-lily.github.io/spider) Text-to-SQL database.
The database was created to test the robustness of text-to-SQL models for robustness of synonym substitution.
The source GIT repo for Syp... | aherntech/spider-syn | [
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"size_categories:1K<n<10K",
"language:en",
"license:mit",
"text-to-sql",
"arxiv:2106.01065",
"region:us"
] | 2024-01-29T21:28:24+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["text2text-generation"], "pretty_name": "Spider-Syn", "tags": ["text-to-sql"]} | 2024-01-29T22:52:05+00:00 | [
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|
# Dataset Card for Sypder-Syn
Spyder-Syn is a human curated variant of the Spider Text-to-SQL database.
The database was created to test the robustness of text-to-SQL models for robustness of synonym substitution.
The source GIT repo for Sypder-Syn is located here: URL
Details regarding the data perterbation method... | [
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9c73e869a3435f01ceb75c606a6c54e26bb1ae2f | # Dataset Card for "HumanPoseTest"
## Source
Dataset created from [human activitiy recognition](https://huggingface.co/datasets/Bingsu/Human_Action_Recognition)
## Task
Find the image (from image2, image3, and image4) that has the same marked body part as in image1. The 18 possible body parts (e.g., nose, right ank... | PerceptionEval/HumanPoseTest | [
"region:us"
] | 2024-01-29T21:41:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "val", "path": "data/val-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "idx", "dtype": "int32"}, {"name": "image1", "dtype": "image"}, {"name": "image2", "dtype": "image"}, {"name": "image3", "dtype": "image"}, {... | 2024-02-15T17:33:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "HumanPoseTest"
## Source
Dataset created from human activitiy recognition
## Task
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9496e0a9f9ab6126faf302e0581bf5328979c3a7 | # Dataset Card for "HumanPose"
## Source
Dataset created from [human activitiy recognition](https://huggingface.co/datasets/Bingsu/Human_Action_Recognition)
## Task
Find the image (from image2, image3, and image4) that has the same marked body part as in image1. The 18 possible body parts (e.g., nose, right ankle, ... | PerceptionEval/HumanPose | [
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Dataset created from human activitiy recognition
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3179d8b408c8913f76eceed7c6ba52ba1cf54e60 | ## Source
dataset created from (Practice) Graphical Reasoning Questions for Civil Service Exam in China.
## Task
Identify the one picture that follows the same pattern or rule established by the previous pictures.
## Prompt:
```
Prompt 1:
During the IQ test, you'll be presented with four picture options. Your task i... | PerceptionEval/IQTestTest | [
"region:us"
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6f955fb96bbf15ea6dad6c9d75c1a386ca1301de | ## Source
dataset created from (Practice) Graphical Reasoning Questions for Civil Service Exam in China.
## Task
Identify the one picture that follows the same pattern or rule established by the previous pictures.
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4efac62f2e2dff6a9b86ef6ff5f6403e0ae013d3 | # WhisperKit Evaluation Results
## Dataset: `librispeech`
### WhisperKit + `openai_whisper-large-v3` (+optimized variants)
| | WER | QoI (%) | File Size (MB) |
|:-----... | argmaxinc/whisperkit-evals | [
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"quantized",
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#whisper #whisperkit #coreml #asr #quantized #region-us
| WhisperKit Evaluation Results
=============================
Dataset: 'librispeech'
----------------------
### WhisperKit + 'openai\_whisper-large-v3' (+optimized variants)
### Different Projects + 'openai\_whisper-large-v3'
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7357480c491e201fc6c179cf6b9db8a5b061d391 |
# Dataset Card for Evaluation run of Qwen/Qwen2-beta-72B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Qwen/Qwen2-beta-72B](https://huggingface.co/Qwen/Qwen2-beta-72B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_l... | open-llm-leaderboard/details_Qwen__Qwen2-beta-72B | [
"region:us"
] | 2024-01-29T23:49:11+00:00 | {"pretty_name": "Evaluation run of Qwen/Qwen2-beta-72B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Qwen/Qwen2-beta-72B](https://huggingface.co/Qwen/Qwen2-beta-72B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset ... | 2024-01-29T23:49:44+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Qwen/Qwen2-beta-72B
Dataset automatically created during the evaluation run of model Qwen/Qwen2-beta-72B 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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a23bc3400cd221de3f2f94a0be29418e51333fd7 | # Dataset Card for "relabeled_alpacafarm_pythiasft_20K_preference_data_modelength"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Asap7772/relabeled_alpacafarm_pythiasft_20K_preference_data_modelength | [
"region:us"
] | 2024-01-30T00:13:50+00:00 | {"dataset_info": {"features": [{"name": "output", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "alpaca_text", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "alpaca_prompt", "dtype": "string"}, {"name": "y_ref", "dtype": "string"}, {"name": "y_1", "dtype": "string"}, {"name": "... | 2024-01-30T00:48:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "relabeled_alpacafarm_pythiasft_20K_preference_data_modelength"
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096faf56f5facedf92caa606b529ad675d61eb7b |
# Dataset Card for Dataset Name
This dataset contains Japanese-Korean paired text which is from [Helsinki-NLP/Tatoeba-Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/blob/master/data/README-v2023-09-26.md).
## Dataset Details
### Dataset Description
- **Curated by:** [Helsinki-NLP](https://github.com/... | sappho192/Tatoeba-Challenge-jpn-kor | [
"task_categories:translation",
"size_categories:10M<n<100M",
"language:ja",
"language:ko",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2024-01-30T01:01:30+00:00 | {"language": ["ja", "ko"], "license": "cc-by-nc-sa-4.0", "size_categories": ["10M<n<100M"], "task_categories": ["translation"]} | 2024-01-30T16:51:21+00:00 | [] | [
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#task_categories-translation #size_categories-10M<n<100M #language-Japanese #language-Korean #license-cc-by-nc-sa-4.0 #region-us
|
# Dataset Card for Dataset Name
This dataset contains Japanese-Korean paired text which is from Helsinki-NLP/Tatoeba-Challenge.
## Dataset Details
### Dataset Description
- Curated by: Helsinki-NLP
- Language(s) (NLP): Japanese-Korean
- License: CC BY-NC-SA 4.0
### Dataset Sources
- Repository: Helsinki-NLP/Tato... | [
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b64741a8eb2b4c3c4749cc61bffaf33675b6506c |
# Dataset Card for Spine Segmentation: Discs, Vertebrae and Spinal Canal (SPIDER)
The SPIDER data set contains lumbar spine magnetic resonance images (MRI) and segmentation masks described in the following paper:
Jasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten,
Job L. C. v... | cdoswald/SPIDER | [
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"license:cc-by-4.0",
"medical",
"MRI",
"spine",
"segmentation",
"arxiv:2306.12217",
"region:us"
] | 2024-01-30T01:02:48+00:00 | {"language": ["en"], "license": "cc-by-4.0", "tags": ["medical", "MRI", "spine", "segmentation"]} | 2024-02-01T02:46:04+00:00 | [
"2306.12217"
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#language-English #license-cc-by-4.0 #medical #MRI #spine #segmentation #arxiv-2306.12217 #region-us
|
# Dataset Card for Spine Segmentation: Discs, Vertebrae and Spinal Canal (SPIDER)
The SPIDER data set contains lumbar spine magnetic resonance images (MRI) and segmentation masks described in the following paper:
Jasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten,
Job L. C. v... | [
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e3dc329ea7bd8626c6cb999f757f51f2bfec0d4f | # Dataset Card for "medqa_train_instruction_format"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jtatman/medqa_train_instruction_format | [
"region:us"
] | 2024-01-30T01:42:46+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 32228274, "num_examples": 10178}], "download_size": 0, "dataset_size": 32228274}, "confi... | 2024-01-30T01:47:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "medqa_train_instruction_format"
More Information needed | [
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7b0d0411941cf99f61ce0572a8b88732464b0907 | # Abstruct
This is a multi-turn conversation dataset generated from the Japanese Wikipedia dataset using Orion14B-Chat. Commercial use is possible, but the license is complicated, so please read it carefully before using it.
I generated V100x4 on 200 machines in about half a week.
# License
【Orion-14B Series】 Models C... | shi3z/ja_conv_wikipedia_orion14B_100K | [
"task_categories:conversational",
"size_categories:100K<n<1M",
"language:ja",
"region:us"
] | 2024-01-30T01:45:05+00:00 | {"language": ["ja"], "size_categories": ["100K<n<1M"], "task_categories": ["conversational"]} | 2024-01-30T02:13:12+00:00 | [] | [
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#task_categories-conversational #size_categories-100K<n<1M #language-Japanese #region-us
| # Abstruct
This is a multi-turn conversation dataset generated from the Japanese Wikipedia dataset using Orion14B-Chat. Commercial use is possible, but the license is complicated, so please read it carefully before using it.
I generated V100x4 on 200 machines in about half a week.
# License
【Orion-14B Series】 Models C... | [
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71ac0d0bd1f951d2d6b70311f7d2ae404e1ffa82 | # Dataset Card for Dataset Name
A Dataset for Evaluating Retrieval-Augmented Generation Across Documents
### Dataset Description
**MultiHop-RAG**: a QA dataset to evaluate retrieval and reasoning across documents with metadata in the RAG pipelines. It contains 2556 queries, with evidence for each query distributed ... | yixuantt/MultiHopRAG | [
"task_categories:question-answering",
"task_categories:feature-extraction",
"size_categories:1K<n<10K",
"language:en",
"license:odc-by",
"arxiv:2401.15391",
"region:us"
] | 2024-01-30T02:28:02+00:00 | {"language": ["en"], "license": "odc-by", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering", "feature-extraction"], "pretty_name": "MultiHop-RAG", "configs": [{"config_name": "MultiHopRAG", "data_files": "MultiHopRAG.json"}, {"config_name": "corpus", "data_files": "corpus.json"}]} | 2024-01-30T02:49:29+00:00 | [
"2401.15391"
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#task_categories-question-answering #task_categories-feature-extraction #size_categories-1K<n<10K #language-English #license-odc-by #arxiv-2401.15391 #region-us
| # Dataset Card for Dataset Name
A Dataset for Evaluating Retrieval-Augmented Generation Across Documents
### Dataset Description
MultiHop-RAG: a QA dataset to evaluate retrieval and reasoning across documents with metadata in the RAG pipelines. It contains 2556 queries, with evidence for each query distributed acro... | [
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22d16aa46d546106db40d6511be1819b7fcabc9e | # Dataset Card for "coref_100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/coref_100 | [
"region:us"
] | 2024-01-30T03:37:56+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "pronoun", "dtype": "string"}, {"name": "candidates", "sequence": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 12857, "num_examples": 100}], "download_size": 11053, "dataset_size": 12857}, "configs... | 2024-01-30T03:42:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "coref_100"
More Information needed | [
"# Dataset Card for \"coref_100\"\n\nMore Information needed"
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da184254e65a95e5edac36436ecd33a202c62f2f | # Dataset Card for "JigsawTest"
## Source
- [TARA](https://github.com/zeyofu/TARA)
## Task
- Determine which one of image2 (A) and image3 (B) can complete image1 (the lower right corner of image1 is missing).
## Prompt
Concise version:
```
Disclaimer: This is not to make unfair assumptions about the people in th... | PerceptionEval/JigsawTest | [
"region:us"
] | 2024-01-30T03:50:19+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "idx", "dtype": "int32"}, {"name": "image1", "dtype": "image"}, {"name": "image2", "dtype": "image"}, {"name": "image3", "dtype": "image"}, {"name": "choices", "sequence": "string"}],... | 2024-02-15T17:27:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "JigsawTest"
## Source
- TARA
## Task
- Determine which one of image2 (A) and image3 (B) can complete image1 (the lower right corner of image1 is missing).
## Prompt
Concise version:
Verbose version:
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0f930479d81a3c049d96e4ea83ddddfed8d67431 | # Dataset Card for "Jigsaw"
## Source
- [TARA](https://github.com/zeyofu/TARA)
## Task
- Determine which one of image2 (A) and image3 (B) can complete image1 (the lower right corner of image1 is missing). | PerceptionEval/Jigsaw | [
"region:us"
] | 2024-01-30T03:50:23+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "idx", "dtype": "int32"}, {"name": "image1", "dtype": "image"}, {"name": "image2", "dtype": "image"}, {"name": "image3", "dtype": "image"}, {"name": "choices", "sequence": "string"}, ... | 2024-02-13T14:18:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Jigsaw"
## Source
- TARA
## Task
- Determine which one of image2 (A) and image3 (B) can complete image1 (the lower right corner of image1 is missing). | [
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] |
e9179fe13464b8e582cfaa390ba228e2e2fefedd | # Dataset Card for "counterfactual-babylm-pipps_and_keys_to_it_all_removal"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kanishka/counterfactual-babylm-pipps_and_keys_to_it_all_removal | [
"region:us"
] | 2024-01-30T04:04:57+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 581838721, "num_examples": 11634224}, {"name": "validation", "num_bytes": 56120230, "num_examples": 1026747}], "download_size": 421689270, "dataset_size": 637958951}} | 2024-01-30T04:05:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "counterfactual-babylm-pipps_and_keys_to_it_all_removal"
More Information needed | [
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af8f045e12b023e172a333216940e7e7e99b9171 | # Dataset Card for "hf-codegen-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | treezy254/hf-codegen-v2 | [
"region:us"
] | 2024-01-30T05:00:47+00:00 | {"dataset_info": {"features": [{"name": "repo_id", "dtype": "string"}, {"name": "file_path", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 20203861, "num_examples": 1776}], "download_size": 5922299, "dataset_size":... | 2024-01-30T05:00:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hf-codegen-v2"
More Information needed | [
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0ece4e13181ea4073c2c6c5657d240342337bd8d | # Dataset Card for "hug_stack"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | treezy254/hug_stack | [
"region:us"
] | 2024-01-30T05:07:26+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "metadata", "struct": [{"name": "file_path", "dtype": "string"}, {"name": "repo_id", "dtype": "string"}, {"name": "token_count", "dtype": "int64"}]}, {"name": "__index_level_0__", "dtype": "int64"}], "splits"... | 2024-01-30T05:07:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hug_stack"
More Information needed | [
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719b2424a22865e60454858668b7ebe18d4ac2ed | # Sebut Perkataan
1. `sebut-perkataan-man` voice by [Husein Zolkepli](https://www.linkedin.com/in/husein-zolkepli/)
2. `tolong-sebut` voice by [Khalil Nooh](https://www.linkedin.com/in/khalilnooh/)
3. `sebut-perkataan-woman` voice by [Mas Aisyah Ahmad](https://www.linkedin.com/in/mas-aisyah-ahmad-b46508a9/)
4. Recorde... | mesolitica/sebut-perkataan | [
"task_categories:automatic-speech-recognition",
"language:ms",
"license:mit",
"region:us"
] | 2024-01-30T05:32:32+00:00 | {"language": ["ms"], "license": "mit", "task_categories": ["automatic-speech-recognition"]} | 2024-01-30T05:33:57+00:00 | [] | [
"ms"
] | TAGS
#task_categories-automatic-speech-recognition #language-Malay (macrolanguage) #license-mit #region-us
| # Sebut Perkataan
1. 'sebut-perkataan-man' voice by Husein Zolkepli
2. 'tolong-sebut' voice by Khalil Nooh
3. 'sebut-perkataan-woman' voice by Mas Aisyah Ahmad
4. Recorded using low-end tech microphones. | [
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5828455ca392653a32e957aaa2791dca470bd5fc | Переведенная на русский язык часть датасета `Open-Orca/SlimOrca`.
Заказать перевод вашего датасета на любой язык мира: https://t.me/PyWebSol | PyWebSol/ru-slimorca-300k | [
"task_categories:text-generation",
"task_categories:question-answering",
"task_categories:conversational",
"language:ru",
"license:apache-2.0",
"region:us"
] | 2024-01-30T05:34:49+00:00 | {"language": ["ru"], "license": "apache-2.0", "task_categories": ["text-generation", "question-answering", "conversational"], "dataset_info": {"features": [{"name": "role", "sequence": "string"}, {"name": "content", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 1011056619, "num_examples": 300013}], ... | 2024-01-30T08:14:26+00:00 | [] | [
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#task_categories-text-generation #task_categories-question-answering #task_categories-conversational #language-Russian #license-apache-2.0 #region-us
| Переведенная на русский язык часть датасета 'Open-Orca/SlimOrca'.
Заказать перевод вашего датасета на любой язык мира: https://t.me/PyWebSol | [] | [
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cdec2580efc7c6fbeedcbf2cbe3b567f6e19d429 | # Dataset Card for "voxceleb1_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/voxceleb1_unit | [
"region:us"
] | 2024-01-30T05:48:45+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec_hifi_24k_320d", "path": "data/academicodec_hifi_2... | 2024-01-30T05:51:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "voxceleb1_unit"
More Information needed | [
"# Dataset Card for \"voxceleb1_unit\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"voxceleb1_unit\"\n\nMore Information needed"
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faccefcc79826bafcdeaa66e1523ec59eeed11f8 | # Dataset Card for "dpo-mix-7k"
A cocktail with our latest DPO datasets: orca pairs, ultrafeedback ratings, and capybara-dpo | argilla/dpo-mix-7k | [
"distilabel",
"synthetic",
"region:us"
] | 2024-01-30T05:49:25+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "conversation", "list": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string... | 2024-02-05T15:29:54+00:00 | [] | [] | TAGS
#distilabel #synthetic #region-us
| # Dataset Card for "dpo-mix-7k"
A cocktail with our latest DPO datasets: orca pairs, ultrafeedback ratings, and capybara-dpo | [
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] |
96ff8459e4f6be441d79ad488a3ebbdc63722d23 | This dataset is a collect of Textbooks used for UPSC Prelims Preparation. | imvbhuvan/aspireai | [
"license:mit",
"region:us"
] | 2024-01-30T05:57:38+00:00 | {"license": "mit"} | 2024-01-30T16:49:11+00:00 | [] | [] | TAGS
#license-mit #region-us
| This dataset is a collect of Textbooks used for UPSC Prelims Preparation. | [] | [
"TAGS\n#license-mit #region-us \n"
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454ab4714eae8ce34342a03b2faf5e146b50be22 | Synthetic separation data in musdb format for MLP episodes, constructed from SFX, music, and isolated dialogue lines using scripts here: https://github.com/effusiveperiscope/PPPDataset/blob/main/sfx.py
---
language:
- en
--- | therealvul/MLPSepSynthdata | [
"region:us"
] | 2024-01-30T06:13:49+00:00 | {} | 2024-02-02T20:06:26+00:00 | [] | [] | TAGS
#region-us
| Synthetic separation data in musdb format for MLP episodes, constructed from SFX, music, and isolated dialogue lines using scripts here: URL
---
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dac12a4af65322040e2e6c00c346ffc49cc8eccf | ---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset aims to be a tool to help trace linguistic patterns in the reddit posts from members who partake in the internet centric pill ideologies, known as blackpill, red pill, blue pill.
## Dataset Details
### Dataset Descrip... | steamcyclone/Pill_Ideologies-Post_Titles | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:crowdsourced",
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"size_categories:n<2K",
"source_datasets:reddit",
"language:en",
"license:cc",
"natural-language-understanding",
"ideology classification",
"text c... | 2024-01-30T06:21:49+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": "cc", "size_categories": ["n<2K"], "source_datasets": ["reddit"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "pretty_name": "PiLls", "tags": ["natural-language-un... | 2024-01-30T20:44:19+00:00 | [] | [
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| ---
# Dataset Card for Dataset Name
This dataset aims to be a tool to help trace linguistic patterns in the reddit posts from members who partake in the internet centric pill ideologies, known as blackpill, red pill, blue pill.
## Dataset Details
### Dataset Description
A few of the major groups' posts have been... | [
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7db61bfc328b1a809893f837cae29d3e44e57e26 |
A reformatted version of the [LeoLM/OpenSchnabeltier](https://huggingface.co/datasets/LeoLM/OpenSchnabeltier) dataset.
Extracted from [seedboxventures/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxventures/multitask_german_examples_32k).
Translation created by [seedbox ai](https://huggingfac... | mayflowergmbh/openschnabeltier_de | [
"task_categories:text-generation",
"language:de",
"region:us"
] | 2024-01-30T06:39:58+00:00 | {"language": ["de"], "task_categories": ["text-generation"]} | 2024-02-14T16:32:51+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #region-us
|
A reformatted version of the LeoLM/OpenSchnabeltier dataset.
Extracted from seedboxventures/multitask_german_examples_32k.
Translation created by seedbox ai for KafkaLM ️.
Available for finetuning in hiyouga/LLaMA-Factory. | [] | [
"TAGS\n#task_categories-text-generation #language-German #region-us \n"
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21
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"passage: TAGS\n#task_categories-text-generation #language-German #region-us \n"
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0fc602d3c136360262da8c65c68fa73b329e556e |
A reformatted version of the [FreedomIntelligence/alpaca-gpt4-deutsch](https://huggingface.co/datasets/FreedomIntelligence/alpaca-gpt4-deutsch) dataset.
Extracted from [seedboxventures/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxventures/multitask_german_examples_32k).
Translation created ... | mayflowergmbh/alpaca-gpt4_de | [
"task_categories:text-generation",
"language:de",
"region:us"
] | 2024-01-30T06:43:54+00:00 | {"language": ["de"], "task_categories": ["text-generation"]} | 2024-02-14T16:33:22+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #region-us
|
A reformatted version of the FreedomIntelligence/alpaca-gpt4-deutsch dataset.
Extracted from seedboxventures/multitask_german_examples_32k.
Translation created by seedbox ai for KafkaLM ️.
Available for finetuning in hiyouga/LLaMA-Factory. | [] | [
"TAGS\n#task_categories-text-generation #language-German #region-us \n"
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21
] | [
"passage: TAGS\n#task_categories-text-generation #language-German #region-us \n"
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fbd327c00b2dabafaaa41902e2941866bef89eca | # Dataset Card for "ultrafeedback_binarized_narrow"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Asap7772/ultrafeedback_binarized_narrow | [
"region:us"
] | 2024-01-30T06:44:44+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "reward_chosen", "dtype": "float64"}, {"name": "reward_rejected", "dtype": "float64"}, {"name": "score_chosen", "dtype"... | 2024-01-30T07:15:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrafeedback_binarized_narrow"
More Information needed | [
"# Dataset Card for \"ultrafeedback_binarized_narrow\"\n\nMore Information needed"
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6c329bdc99edada5ef1fd55a2b67ac3dd4c903f8 |
A reformatted version of the [DRXD1000/Dolly-15k-German](https://huggingface.co/datasets/DRXD1000/Dolly-15k-German) dataset.
Available for finetuning in [hiyouga/LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory). | mayflowergmbh/dolly-15k_de | [
"task_categories:text-generation",
"language:de",
"region:us"
] | 2024-01-30T06:49:05+00:00 | {"language": ["de"], "task_categories": ["text-generation"]} | 2024-02-14T16:34:34+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #region-us
|
A reformatted version of the DRXD1000/Dolly-15k-German dataset.
Available for finetuning in hiyouga/LLaMA-Factory. | [] | [
"TAGS\n#task_categories-text-generation #language-German #region-us \n"
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21
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"passage: TAGS\n#task_categories-text-generation #language-German #region-us \n"
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115c793eda9778cb2d425ffb754cdb8c4c6f7da1 |
A reformatted version of the [OpenAssistant/OASST-DE](https://huggingface.co/datasets/OpenAssistant/OASST-DE) dataset.
Available for finetuning in [hiyouga/LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory). | mayflowergmbh/oasst_de | [
"task_categories:text-generation",
"language:de",
"region:us"
] | 2024-01-30T06:55:28+00:00 | {"language": ["de"], "task_categories": ["text-generation"]} | 2024-02-14T16:34:14+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #region-us
|
A reformatted version of the OpenAssistant/OASST-DE dataset.
Available for finetuning in hiyouga/LLaMA-Factory. | [] | [
"TAGS\n#task_categories-text-generation #language-German #region-us \n"
] | [
21
] | [
"passage: TAGS\n#task_categories-text-generation #language-German #region-us \n"
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97624645187f720d2806cefde9cee02c0ec4b0b4 |
# 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).
## ... | moulichand/medformatted | [
"region:us"
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#region-us
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9851ccc4fea851b0f43c4480b8a2795a1fcc0034 |
# AI Generated Image for Image Classification
<!-- Provide a quick summary of the dataset. -->
This dataset contains AI generated images by Midjourney and Human images taken from Imagenet. The dataset is meant for Image Classification tasks.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary... | ideepankarsharma2003/AIGeneratedImages_Midjourney | [
"region:us"
] | 2024-01-30T07:09:15+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "ai_gen", "1": "human"}}}}], "splits": [{"name": "train", "num_bytes": 20242565282.0, "num_examples": 18000}, {"name": "validation", "num_bytes": 21688393589.775, "num_examples": 20715}, {"name... | 2024-01-30T07:45:56+00:00 | [] | [] | TAGS
#region-us
|
# AI Generated Image for Image Classification
This dataset contains AI generated images by Midjourney and Human images taken from Imagenet. The dataset is meant for Image Classification tasks.
## Dataset Details
### Dataset Description
- Curated by: Deepankar Sharma
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9ed3ca37922eae37ee1fdc668b39602165b6a3de | # Dataset Card for "maywell_ko_wikidata_QA_12800"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CHOJW1004/maywell_ko_wikidata_QA_12800 | [
"region:us"
] | 2024-01-30T07:13:08+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13446050, "num_examples": 12800}], "download_size": 8131313, "dataset_size": 13446050}} | 2024-01-30T07:13:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "maywell_ko_wikidata_QA_12800"
More Information needed | [
"# Dataset Card for \"maywell_ko_wikidata_QA_12800\"\n\nMore Information needed"
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8d3dca849fb9aa63671042f6fbc4597b0e7ed2b9 | # Dataset Card for "keyword_ner"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nitinbhayana/keyword_ner | [
"region:us"
] | 2024-01-30T07:40:49+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 104030, "num_examples": 985}], "download_size": 29995, "dataset_size": 104030}} | 2024-01-30T07:40:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "keyword_ner"
More Information needed | [
"# Dataset Card for \"keyword_ner\"\n\nMore Information needed"
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c6cbf14c86af241c502c6c6b5ed3b2f7a6a1773e | # 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... | moneypitts/classicalarabic | [
"language:ar",
"region:us"
] | 2024-01-30T08:10:26+00:00 | {"language": ["ar"]} | 2024-01-30T08:52:04+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #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.
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2cf74cd689979de4e6330a46d2cdacdf7989094d |
## Formatting
Formatting is compliant with ChatML. "input" is the context and "output" is the expected model output to train on.
## Details
See the repo file `generate_dataset.py` for exactly this dataset was generated.
An opinionated and filtered mix of the following datasets:
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"region:us"
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f32756e7ba589854730526745949e611b8f827ed | # Dataset Card for "orca-tr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | malhajar/orca-tr | [
"region:us"
] | 2024-01-30T08:51:50+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "system_prompt-turkish", "dtype": "string"}, {"name": "question-turkish", "dtype": "string"}, {"name": "response-turk... | 2024-01-30T10:39:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "orca-tr"
More Information needed | [
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bcdfa089548ff2f7298b5427ee41627e57ab59ee | This is a dataset created using [vector-io](https://github.com/ai-northstar-tech/vector-io)
| aintech/vdf_20240129_162001_59275_arxiv_titles | [
"vdf",
"vector-io",
"vector-dataset",
"vector-embeddings",
"region:us"
] | 2024-01-30T09:23:17+00:00 | {"tags": ["vdf", "vector-io", "vector-dataset", "vector-embeddings"]} | 2024-01-30T09:38:23+00:00 | [] | [] | TAGS
#vdf #vector-io #vector-dataset #vector-embeddings #region-us
| This is a dataset created using vector-io
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96d4da91163089616b6449d0e62f3e3ceaaf8108 | This is a dataset created using [vector-io](https://github.com/ai-northstar-tech/vector-io)
| aintech/vdf_20240130_114906_3faa2_arxiv_abstracts | [
"vdf",
"vector-io",
"vector-dataset",
"vector-embeddings",
"region:us"
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#vdf #vector-io #vector-dataset #vector-embeddings #region-us
| This is a dataset created using vector-io
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54c274b376ec1070cbcf793299a7d3ad6d3f3b9c | This is a dataset created using [vector-io](https://github.com/ai-northstar-tech/vector-io)
| aintech/vdf_20240130_145922_55bb9_wolt_food | [
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#vdf #vector-io #vector-dataset #vector-embeddings #region-us
| This is a dataset created using vector-io
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de83ba77697657d8aec28113da5c3b7c81b2081a | # TeleQnA
## Introduction
TeleQnA is a comprehensive dataset tailored to assess the knowledge of Large Language Models (LLMs) in the field of telecommunications. It encompasses 10,000 multiple-choice questions distributed across five distinct categories:
- **Lexicon:** This category comprises 500 questions that del... | netop/TeleQnA | [
"arxiv:2310.15051",
"region:us"
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| # TeleQnA
## Introduction
TeleQnA is a comprehensive dataset tailored to assess the knowledge of Large Language Models (LLMs) in the field of telecommunications. It encompasses 10,000 multiple-choice questions distributed across five distinct categories:
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7c2f195622a3bbce5d6df1a04db5c0168b6221aa |
# Dataset Card for "Promoter Validation Data"
## Table of Contents
- [Overview](#overview)
- [Dataset Description](#dataset-description)
- [Data Collection and Processing](#data-collection-and-processing)
- [Dataset Structure](#dataset-structure)
- [Data Partitioning and Utilization](#data-partitioning-and-utili... | neuralbioinfo/bacterial_promoters | [
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"region:us"
] | 2024-01-30T10:52:38+00:00 | {"license": "cc-by-nc-4.0", "dataset_info": {"features": [{"name": "segment_id", "dtype": "string"}, {"name": "ppd_original_SpeciesName", "dtype": "string"}, {"name": "Strand", "dtype": "string"}, {"name": "segment", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "L", "dtype": "int64"}, {"name": "pr... | 2024-02-16T14:33:50+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
# Dataset Card for "Promoter Validation Data"
## Table of Contents
- Overview
- Dataset Description
- Data Collection and Processing
- Dataset Structure
- Data Partitioning and Utilization
- Dataset Splits
- Dataset Fields
- Use Cases & Limitations
- How to Use
- Citation
- Contact
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af69ff795707da157b3ef84e654b54bda081d134 | # 📄 arXivTection Dataset
The arXivTection dataset serves as a benchmark designed for the task of detecting pretraining data from Large Language models.
The dataset consists of 50 research papers extracted from arXiv.
- 25 published in 2023: Non-Training data, "_label_" column = 0.
- 25 published before 2022: Trainin... | avduarte333/arXivTection | [
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"arxiv:2402.09910",
"region:us"
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| # arXivTection Dataset
The arXivTection dataset serves as a benchmark designed for the task of detecting pretraining data from Large Language models.
The dataset consists of 50 research papers extracted from arXiv.
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bfa0bd2a484b6505edaaa9dd620fa2f2cfb05df0 | # Dataset Card for "full_cleaned_xsum_faith"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mtc/full_cleaned_xsum_faith | [
"region:us"
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#region-us
| # Dataset Card for "full_cleaned_xsum_faith"
More Information needed | [
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bb2f6bf341557604d94434b6ede40063ba92d900 |
# 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).
## ... | DjSteker/Electronica | [
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"region:us"
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164ad1992684d41caed920f5b10b94defea03c48 | Hello World | Aur0ra/test | [
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b6ee382f5c4f1265110c83d2219b4852dd4af4b5 |
The **UTRSet-Real** dataset is a comprehensive, manually annotated dataset specifically curated for **Printed Urdu OCR** research. It contains over **11,000** printed text line images, each of which has been meticulously annotated. One of the standout features of this dataset is its remarkable diversity, which include... | abdur75648/UTRSet-Real | [
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] | 2024-01-30T13:32:35+00:00 | {"language": ["ur"], "license": "cc-by-nc-4.0", "task_categories": ["image-to-text"], "pretty_name": "UTRSet-Real", "title": "UrduSet-Real (UTRNet)", "emoji": "\ud83d\udcd6", "colorFrom": "red", "colorTo": "green", "tags": ["ocr", "text recognition", "urdu-ocr", "utrnet"], "references": ["https://github.com/abdur75648/... | 2024-01-30T13:38:29+00:00 | [
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adaf9ba0d2d32c6f34931d149346660e738b006c |
The **UTRSet-Synth** dataset is introduced as a complementary training resource to the [**UTRSet-Real** Dataset](https://paperswithcode.com/dataset/utrset-real), specifically designed to enhance the effectiveness of Urdu OCR models. It is a high-quality synthetic dataset comprising 20,000 lines that closely resemble r... | abdur75648/UTRSet-Synth | [
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6ed038a4f842a0239d35a78648bf9a805ef862a6 |
The **UrduDoc Dataset** is a benchmark dataset for Urdu text line detection in scanned documents. It is created as a byproduct of the **UTRSet-Real** dataset generation process. Comprising 478 diverse images collected from various sources such as books, documents, manuscripts, and newspapers, it offers a valuable reso... | abdur75648/UrduDoc | [
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e5908da54d18f4578036446098d7f806b35b1b17 | # Dataset Card for "translations"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | DerErikP/translations | [
"region:us"
] | 2024-01-30T13:52:43+00:00 | {"dataset_info": {"features": [{"name": "do_translation", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 56974, "num_examples": 100}], "download_size": 0, "dataset_size": 56974}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2024-01-30T13:53:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "translations"
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88be99ea8468003ad117d176d5d03a554f865397 | Only one out of four images is a real photopgraph.
---
dataset_info:
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dtype: image
- name: image2
dtype: image
- name: image3
dtype: image
- name: image4
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dtype... | PerceptionEval/Realness | [
"region:us"
] | 2024-01-30T13:58:07+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}, {"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "idx", "dtype": "int32"}, {"name": "image1", "dtype": "image"}, {"name": "image2", "dtype": "image"}, {"name": "image3", "dtype": "image"}, {... | 2024-02-01T19:58:20+00:00 | [] | [] | TAGS
#region-us
| Only one out of four images is a real photopgraph.
---
dataset_info:
features:
- name: idx
dtype: int32
- name: image1
dtype: image
- name: image2
dtype: image
- name: image3
dtype: image
- name: image4
dtype: image
- name: choices
sequence: string
- name: image1_label
dtype... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
0c4a387c311a32e7a2ff1c47a37b5f40e237b5ee | # Dataset Card for "Train_VIVOS_CommonVoice_FOSD_Control_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tuanmanh28/Train_VIVOS_CommonVoice_FOSD_Control_dataset | [
"region:us"
] | 2024-01-30T14:22:13+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "input_values", "sequence": "float32"}, {"name": "input_length", "dtype": "int64"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 1585325231... | 2024-01-30T15:44:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Train_VIVOS_CommonVoice_FOSD_Control_dataset"
More Information needed | [
"# Dataset Card for \"Train_VIVOS_CommonVoice_FOSD_Control_dataset\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"Train_VIVOS_CommonVoice_FOSD_Control_dataset\"\n\nMore Information needed"
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6,
29
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"passage: TAGS\n#region-us \n# Dataset Card for \"Train_VIVOS_CommonVoice_FOSD_Control_dataset\"\n\nMore Information needed"
] |
02062730d35617f190377994934c98ec5e477c38 |
# MIMIR
These datasets serve as a benchmark designed to evaluate membership inference attack (MIA) methods, specifically in detecting pretraining data from extensive large language models.
## 📌 Applicability
The datasets can be applied to any model trained on The Pile, including (but not limited to):
- GPTNeo
- Py... | iamgroot42/mimir | [
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"membership inference",
"privacy",
"arxiv:2402.07841",
"region:us"
] | 2024-01-30T14:27:16+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "pretty_name": "MIMIR", "tags": ["membership inference", "privacy"]} | 2024-02-15T14:32:03+00:00 | [
"2402.07841"
] | [
"en"
] | TAGS
#size_categories-1K<n<10K #language-English #license-mit #membership inference #privacy #arxiv-2402.07841 #region-us
|
# MIMIR
These datasets serve as a benchmark designed to evaluate membership inference attack (MIA) methods, specifically in detecting pretraining data from extensive large language models.
## Applicability
The datasets can be applied to any model trained on The Pile, including (but not limited to):
- GPTNeo
- Pyth... | [
"# MIMIR\n\nThese datasets serve as a benchmark designed to evaluate membership inference attack (MIA) methods, specifically in detecting pretraining data from extensive large language models.",
"## Applicability\n\nThe datasets can be applied to any model trained on The Pile, including (but not limited to):\n- ... | [
"TAGS\n#size_categories-1K<n<10K #language-English #license-mit #membership inference #privacy #arxiv-2402.07841 #region-us \n",
"# MIMIR\n\nThese datasets serve as a benchmark designed to evaluate membership inference attack (MIA) methods, specifically in detecting pretraining data from extensive large language ... | [
44,
39,
39,
188,
26,
26
] | [
"passage: TAGS\n#size_categories-1K<n<10K #language-English #license-mit #membership inference #privacy #arxiv-2402.07841 #region-us \n# MIMIR\n\nThese datasets serve as a benchmark designed to evaluate membership inference attack (MIA) methods, specifically in detecting pretraining data from extensive large langua... |
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