sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fe35cf023c615d93d69cb04760094477747f2ae5 |
# Dataset of rockrock (Arknights)
This is the dataset of rockrock (Arknights), containing 48 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface... | AppleHarem/rockrock_arknights | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-17T13:38:09+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-17T13:38:14+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of rockrock (Arknights)
===============================
This is the dataset of rockrock (Arknights), containing 48 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
This is a WebUI co... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
5ae14d948421cdf1bd294a5687457078e9818be9 |
A subset of wikitext combined with a sample of hindi wikipedia articles. Each line contains a paragraph from the article. | cmeraki/wiki_en_hi | [
"license:apache-2.0",
"region:us"
] | 2023-12-17T13:40:18+00:00 | {"license": "apache-2.0"} | 2023-12-17T13:44:58+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
A subset of wikitext combined with a sample of hindi wikipedia articles. Each line contains a paragraph from the article. | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
faccebcf3ed1966f603acedb98d3fa6fb1a4faad |
# 和谐历史档案馆数据集 - Banned Historical Archives Datasets
banned-historical-archives.github.io
## 说明
* todo文件夹存放暂未录入banned-historical-archives.github.io的文稿,已录入的文稿存放在archivesN文件夹中。录入方法参考github的文档。不要直接修改archivesN文件夹。archivesN的数据不定期从github同步。
* todo文件夹中,应及时删除已录入的文稿,避免重复录入。
* 不完整的文稿存放在“todo/不完整不清晰”文件夹,优先级最低
| banned-historical-archives/banned-historical-archives | [
"size_categories:n>1T",
"region:us"
] | 2023-12-17T14:47:08+00:00 | {"size_categories": ["n>1T"]} | 2024-02-16T12:18:33+00:00 | [] | [] | TAGS
#size_categories-n>1T #region-us
|
# 和谐历史档案馆数据集 - Banned Historical Archives Datasets
URL
## 说明
* todo文件夹存放暂未录入banned-URL.io的文稿,已录入的文稿存放在archivesN文件夹中。录入方法参考github的文档。不要直接修改archivesN文件夹。archivesN的数据不定期从github同步。
* todo文件夹中,应及时删除已录入的文稿,避免重复录入。
* 不完整的文稿存放在“todo/不完整不清晰”文件夹,优先级最低
| [
"# 和谐历史档案馆数据集 - Banned Historical Archives Datasets\n\nURL",
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] |
a1c1161bccd302f4a35bda5394df00e59ca6d8b2 |
## Description
I explore the past so you don't have too!
## Prompt
A channel run by an influencer and videoblogger called Jess.
She often do weird challenges like "saying yes to everyone", "walking to corss the united states", "walk in new york dressed as a chicken" to get millions of views and likes.
She also so... | MichaelBoll/ai-tube-micgael | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-12-17T14:57:42+00:00 | {"license": "cc-by-nc-sa-4.0", "pretty_name": "Jess"} | 2024-01-14T18:31:39+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
## Description
I explore the past so you don't have too!
## Prompt
A channel run by an influencer and videoblogger called Jess.
She often do weird challenges like "saying yes to everyone", "walking to corss the united states", "walk in new york dressed as a chicken" to get millions of views and likes.
She also so... | [
"## Description\n\nI explore the past so you don't have too!",
"## Prompt\n\nA channel run by an influencer and videoblogger called Jess.\n\nShe often do weird challenges like \"saying yes to everyone\", \"walking to corss the united states\", \"walk in new york dressed as a chicken\" to get millions of views and... | [
"TAGS\n#license-cc-by-nc-sa-4.0 #region-us \n",
"## Description\n\nI explore the past so you don't have too!",
"## Prompt\n\nA channel run by an influencer and videoblogger called Jess.\n\nShe often do weird challenges like \"saying yes to everyone\", \"walking to corss the united states\", \"walk in new york d... | [
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14,
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ba5e50644c433408938665fc5d34b45a979b835f |
Dataset содержит диалоги и различные новостные статьи на русском языке, а также их суммаризация.Dataset состоит из двух hugging face datasetов :
- 'd0rj/samsum-ru'
- 'IlyaGusev/gazeta' | CarlBrendt/Summ_Dialog_News | [
"task_categories:summarization",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:ru",
"region:us"
] | 2023-12-17T15:03:15+00:00 | {"language": ["ru"], "size_categories": ["10K<n<100K"], "task_categories": ["summarization", "text-generation"], "pretty_name": "Summy", "dataset_info": {"features": [{"name": "info", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 560231829, "num_examples": 75697}... | 2023-12-17T18:33:24+00:00 | [] | [
"ru"
] | TAGS
#task_categories-summarization #task_categories-text-generation #size_categories-10K<n<100K #language-Russian #region-us
|
Dataset содержит диалоги и различные новостные статьи на русском языке, а также их суммаризация.Dataset состоит из двух hugging face datasetов :
- 'd0rj/samsum-ru'
- 'IlyaGusev/gazeta' | [] | [
"TAGS\n#task_categories-summarization #task_categories-text-generation #size_categories-10K<n<100K #language-Russian #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-summarization #task_categories-text-generation #size_categories-10K<n<100K #language-Russian #region-us \n"
] |
7e27479c70b0bffcf9930fa581741e76f374e9d0 | # Dataset Card for "Boundary_detection_onelasttry"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vigneshgs7/Boundary_detection_onelasttry | [
"region:us"
] | 2023-12-17T15:16:30+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1242702805.0, "num_examples": 25}], "download_size": 32579261, "dataset_size": 1242702805.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train"... | 2023-12-17T15:16:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Boundary_detection_onelasttry"
More Information needed | [
"# Dataset Card for \"Boundary_detection_onelasttry\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Boundary_detection_onelasttry\"\n\nMore Information needed"
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20
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"passage: TAGS\n#region-us \n# Dataset Card for \"Boundary_detection_onelasttry\"\n\nMore Information needed"
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d65cb606a8b1ba7104b517e37af9b081198807db | # Dataset Card for "wikipedia-pa-transliteration"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kdcyberdude/wikipedia-pa-transliteration | [
"region:us"
] | 2023-12-17T15:17:14+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "transliterated_text", "dtype": "string"}, {"name": "transliterated_title", "dtype": "string"}], "splits": [{"name": "train", "num_byte... | 2023-12-17T19:29:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia-pa-transliteration"
More Information needed | [
"# Dataset Card for \"wikipedia-pa-transliteration\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"wikipedia-pa-transliteration\"\n\nMore Information needed"
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6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"wikipedia-pa-transliteration\"\n\nMore Information needed"
] |
1fac2a4db3550c82587d5e1039ee712845a1f4f7 |
# Description
This is the dataset repository used in the [pyiqa toolbox](https://github.com/chaofengc/IQA-PyTorch). Please refer to [Awesome Image Quality Assessment](https://github.com/chaofengc/Awesome-Image-Quality-Assessment) for details of each dataset
# Disclaimer for This Dataset Collection
This collection of... | chaofengc/IQA-Toolbox-Datasets | [
"license:cc-by-sa-4.0",
"region:us"
] | 2023-12-17T15:22:46+00:00 | {"license": "cc-by-sa-4.0"} | 2024-01-17T05:51:13+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
|
# Description
This is the dataset repository used in the pyiqa toolbox. Please refer to Awesome Image Quality Assessment for details of each dataset
# Disclaimer for This Dataset Collection
This collection of datasets is compiled and maintained for academic, research, and educational purposes. It is important to not... | [
"# Description\n\nThis is the dataset repository used in the pyiqa toolbox. Please refer to Awesome Image Quality Assessment for details of each dataset",
"# Disclaimer for This Dataset Collection\nThis collection of datasets is compiled and maintained for academic, research, and educational purposes. It is impor... | [
"TAGS\n#license-cc-by-sa-4.0 #region-us \n",
"# Description\n\nThis is the dataset repository used in the pyiqa toolbox. Please refer to Awesome Image Quality Assessment for details of each dataset",
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32,
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"passage: TAGS\n#license-cc-by-sa-4.0 #region-us \n# Description\n\nThis is the dataset repository used in the pyiqa toolbox. Please refer to Awesome Image Quality Assessment for details of each dataset# Disclaimer for This Dataset Collection\nThis collection of datasets is compiled and maintained for academic, res... |
490c80f0bff50c7fa720f4849281e7efb44946f3 |
# Dataset of highmore (Arknights)
This is the dataset of highmore (Arknights), containing 48 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface... | AppleHarem/highmore_arknights | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-17T15:39:44+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-17T15:39:52+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of highmore (Arknights)
===============================
This is the dataset of highmore (Arknights), containing 48 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
This is a WebUI co... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
1cfc4b5b01a27d90d4d546c7547a4371285fb8d2 | # Dataset Card for "NER"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | NguyenVanHieu1605/NER | [
"region:us"
] | 2023-12-17T15:40:26+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "NE_labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 3474172, "num_examples": 14986}, {"name": "valid", "num_bytes": 872991, "num_examples": 3465}, {"name": "test", "num_bytes": 791856, "num_examples": 3683}], "do... | 2023-12-17T15:40:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "NER"
More Information needed | [
"# Dataset Card for \"NER\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"NER\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"NER\"\n\nMore Information needed"
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1c8f6468ab96f81788e54877c63bb5f7de635ebb | # Dataset Card for "ner"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lunarlist/ner | [
"region:us"
] | 2023-12-17T15:59:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "ner_tags", "sequence": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "tags"... | 2023-12-17T15:59:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ner"
More Information needed | [
"# Dataset Card for \"ner\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ner\"\n\nMore Information needed"
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6,
11
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ner\"\n\nMore Information needed"
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f333fc52ccdb832396fff66a4e583ea99dff81dc | # Dataset Card for "legal_chat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | thanhdath/legal_chat | [
"region:us"
] | 2023-12-17T16:15:35+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_sft", "path": "data/train_sft-*"}, {"split": "test_sft", "path": "data/test_sft-*"}]}], "dataset_info": {"features": [{"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "... | 2024-01-07T10:48:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "legal_chat"
More Information needed | [
"# Dataset Card for \"legal_chat\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"legal_chat\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"legal_chat\"\n\nMore Information needed"
] |
5ac4c4ae3740ca56c1544781785702fc9934f8bb |
license: cc-by-nc-sa-4.0
pretty_name: bruhChannel
---
## Description
random stuff
## Model
SVD
## Style
- fails, cooking, baking, funny videos, and more
## Tags
- funny
- cooking
- baking
- andmore
## Voice
Julian
## Prompt
A video channel which produces random stuff
It often starts videos with titles lik... | bruhrandomusername/bruh-channel | [
"region:us"
] | 2023-12-17T16:27:21+00:00 | {} | 2023-12-17T16:47:00+00:00 | [] | [] | TAGS
#region-us
|
license: cc-by-nc-sa-4.0
pretty_name: bruhChannel
---
## Description
random stuff
## Model
SVD
## Style
- fails, cooking, baking, funny videos, and more
## Tags
- funny
- cooking
- baking
- andmore
## Voice
Julian
## Prompt
A video channel which produces random stuff
It often starts videos with titles lik... | [
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5f42b23313038b9d3c74c9f7942a3a106b24cb8f | # Dataset Card for "beijing_opera_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/beijing_opera_extract_unit | [
"region:us"
] | 2023-12-17T16:33:14+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... | 2023-12-17T16:34:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beijing_opera_extract_unit"
More Information needed | [
"# Dataset Card for \"beijing_opera_extract_unit\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"beijing_opera_extract_unit\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"beijing_opera_extract_unit\"\n\nMore Information needed"
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ec9a3452738efc2e3a723e9a8fddfeeb83f51748 |
ReActor Assets
=================
The Fast and Simple Face Swap Extension
[sd-webui-reactor](https://github.com/Gourieff/sd-webui-reactor) <br>
[comfyui-reactor-node](https://github.com/Gourieff/comfyui-reactor-node)
Models
------
| file ... | Gourieff/ReActor | [
"license:mit",
"region:us"
] | 2023-12-17T16:57:34+00:00 | {"license": "mit", "viewer": false} | 2024-01-23T16:37:19+00:00 | [] | [] | TAGS
#license-mit #region-us
| ReActor Assets
==============
The Fast and Simple Face Swap Extension
sd-webui-reactor
comfyui-reactor-node
Models
------
file: buffalo\_l.zip, source: DeepInsight, license: !license
file: codeformer-v0.1.0.pth, source: sczhou, license: !license
file: GFPGANv1.3.pth, source: TencentARC, license: !license
fi... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
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4001c2c6cdf4310133d1e5399cdea0f5588c9fd5 | # Dataset Card for "crema_d_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/crema_d_extract_unit | [
"region:us"
] | 2023-12-17T16:59:08+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... | 2023-12-17T17:01:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "crema_d_extract_unit"
More Information needed | [
"# Dataset Card for \"crema_d_extract_unit\"\n\nMore Information needed"
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7d2671790555d99208c308236445593442843964 |
# Datasets Summary
The data set contains Turkish food recipes. It includes: title, url, category, required materials and how to make it.
# Languages
The dataset is based on Turkish.
# Data Instances for datav2.csv
* Title : Tavuklu Zade Kebabı,
* Link: https://ye-mek.net/tarif/tavuklu-zade-kebabi,
* Category: Ana-Ye... | mertbozkurt/turkish-recipe | [
"task_categories:question-answering",
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:tr",
"license:mit",
"region:us"
] | 2023-12-17T17:16:26+00:00 | {"language": ["tr"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering", "conversational", "text-generation"]} | 2023-12-19T17:37:52+00:00 | [] | [
"tr"
] | TAGS
#task_categories-question-answering #task_categories-conversational #task_categories-text-generation #size_categories-1K<n<10K #language-Turkish #license-mit #region-us
|
# Datasets Summary
The data set contains Turkish food recipes. It includes: title, url, category, required materials and how to make it.
# Languages
The dataset is based on Turkish.
# Data Instances for URL
* Title : Tavuklu Zade Kebabı,
* Link: URL
* Category: Ana-Yemek,
* Materials: "['4 adet orta boy kemer patlıc... | [
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a4892bfed9687a37c704527a05e57e90e94cc091 | # Dataset Card for "hardhat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hf-vision/hardhat | [
"region:us"
] | 2023-12-17T17:18:12+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "image_id", "dtype": "int64"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int... | 2023-12-17T18:29:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hardhat"
More Information needed | [
"# Dataset Card for \"hardhat\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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b865b11fd8a07ba1ccd6adcba2ac47435ac6edd1 |
# Dataset of lunacub (Arknights)
This is the dataset of lunacub (Arknights), containing 38 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.c... | AppleHarem/lunacub_arknights | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-17T17:25:26+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-17T17:25:31+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of lunacub (Arknights)
==============================
This is the dataset of lunacub (Arknights), containing 38 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
This is a WebUI conta... | [] | [
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4d57e1ba0185970376a2b94a3417ed671819689f | # Dataset Card for "gunshot_triangulation_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/gunshot_triangulation_extract_unit | [
"region:us"
] | 2023-12-17T17:40:51+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... | 2023-12-17T17:41:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gunshot_triangulation_extract_unit"
More Information needed | [
"# Dataset Card for \"gunshot_triangulation_extract_unit\"\n\nMore Information needed"
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f6421855fda9cea145621afffff52e57d89f07b7 | # Dataset Card for "libricount_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/libricount_extract_unit | [
"region:us"
] | 2023-12-17T17:43:52+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... | 2023-12-17T17:45:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "libricount_extract_unit"
More Information needed | [
"# Dataset Card for \"libricount_extract_unit\"\n\nMore Information needed"
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f5376a6d1110f191613d6b144ff135a8aea8024e |
# Dataset of vigil (Arknights)
This is the dataset of vigil (Arknights), containing 16 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/de... | AppleHarem/vigil_arknights | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-17T18:02:26+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-17T18:02:29+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of vigil (Arknights)
============================
This is the dataset of vigil (Arknights), containing 16 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
This is a WebUI contains cr... | [] | [
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e3235c6765c6725445acd2628a7231626f5264a2 | Question and answer pairs for the first 100 entries of aerospace mechanism symposia 5000 word chunk entries. Full file of entries is here: https://github.com/dsmueller3760/aerospace_chatbot/blob/llm_training/data/AMS/ams_data_answers.jsonl
See this repository for details: https://github.com/dsmueller3760/aerospace_cha... | ai-aerospace/ams_data_train_mistral_v0.1_100 | [
"license:apache-2.0",
"region:us"
] | 2023-12-17T18:06:34+00:00 | {"license": "apache-2.0", "base-model": "TheBloke/Llama-2-7B-Chat-GGUF"} | 2023-12-17T19:56:35+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Question and answer pairs for the first 100 entries of aerospace mechanism symposia 5000 word chunk entries. Full file of entries is here: URL
See this repository for details: URL
Prompts generated using TheBloke/Llama-2-7B-Chat-GGUF
Format representative of mistral's instruct llms:
* URL
* Example dataset: URL
'<... | [] | [
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14
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4d6c240da6ee953f7a25406abb8570d211c4dc92 |
# Clustered Protein-Protein Complexes
This dataset is similar to `AmelieSchreiber/pha_clustered_protein_complexes`, but is larger. The methods used for clustering are the same,
with different hyperparameters. The threshold percentage for DBSCAN used to create the clusters is `0.35`. | AmelieSchreiber/pha_clustered_protein_complexes_30K | [
"license:mit",
"region:us"
] | 2023-12-17T18:27:19+00:00 | {"license": "mit"} | 2023-12-17T18:30:34+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Clustered Protein-Protein Complexes
This dataset is similar to 'AmelieSchreiber/pha_clustered_protein_complexes', but is larger. The methods used for clustering are the same,
with different hyperparameters. The threshold percentage for DBSCAN used to create the clusters is '0.35'. | [
"# Clustered Protein-Protein Complexes\nThis dataset is similar to 'AmelieSchreiber/pha_clustered_protein_complexes', but is larger. The methods used for clustering are the same, \nwith different hyperparameters. The threshold percentage for DBSCAN used to create the clusters is '0.35'."
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8b521febedb2f41518ff4a3df3ff18f1e4cba7dd |
# Dataset of firewhistle (Arknights)
This is the dataset of firewhistle (Arknights), containing 15 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggi... | AppleHarem/firewhistle_arknights | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-17T18:44:22+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-17T18:44:25+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of firewhistle (Arknights)
==================================
This is the dataset of firewhistle (Arknights), containing 15 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
This is a... | [] | [
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6f6df29324a61109722c156240db734f4f2bcf63 |
## Dataset Description
Microsoft created the methods2test dataset, consisting of Java Junit test cases with its corresponding focal methods.
It contains 780k pairs of JUnit test cases and focal methods which were extracted from a total of 91K
Java open source project hosted on GitHub.
This is smaller subset of the a... | andstor/methods2test_small | [
"task_categories:text-generation",
"language:en",
"license:mit",
"unit test",
"java",
"code",
"arxiv:2203.12776",
"region:us"
] | 2023-12-17T20:26:53+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["text-generation"], "configs": [{"config_name": "fm", "data_files": [{"split": "train", "path": "data/fm/train-*"}, {"split": "test", "path": "data/fm/test-*"}, {"split": "validation", "path": "data/fm/validation-*"}]}, {"config_name": "fm_indented", "data_file... | 2023-12-23T02:25:15+00:00 | [
"2203.12776"
] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #license-mit #unit test #java #code #arxiv-2203.12776 #region-us
|
## Dataset Description
Microsoft created the methods2test dataset, consisting of Java Junit test cases with its corresponding focal methods.
It contains 780k pairs of JUnit test cases and focal methods which were extracted from a total of 91K
Java open source project hosted on GitHub.
This is smaller subset of the a... | [
"## Dataset Description\nMicrosoft created the methods2test dataset, consisting of Java Junit test cases with its corresponding focal methods. \nIt contains 780k pairs of JUnit test cases and focal methods which were extracted from a total of 91K\nJava open source project hosted on GitHub.\n\nThis is smaller subset... | [
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678bde4068ca2b17ac27f14d379c6530cadd8397 |
# Dataset of hammann (Azur Lane)
This is the dataset of hammann (Azur Lane), containing 482 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.... | AppleHarem/hammann_azurlane | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-17T20:42:14+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-17T20:43:46+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of hammann (Azur Lane)
==============================
This is the dataset of hammann (Azur Lane), containing 482 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
This is a WebUI cont... | [] | [
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9714be1caf114e4b235a9080737fe59d1404b713 |
# COST Dataset
The COST dataset includes the following components for training and evaluating MLLMs on object-level perception tasks:
- **RGB Images** obtained from the [COCO-2017](https://cocodataset.org/#download) dataset.
- **Segmentation Maps** for semantic, instance, and panoptic segmentation tasks, obtained us... | shi-labs/COST | [
"license:mit",
"region:us"
] | 2023-12-17T21:36:54+00:00 | {"license": "mit"} | 2023-12-21T23:43:50+00:00 | [] | [] | TAGS
#license-mit #region-us
| COST Dataset
============
The COST dataset includes the following components for training and evaluating MLLMs on object-level perception tasks:
* RGB Images obtained from the COCO-2017 dataset.
* Segmentation Maps for semantic, instance, and panoptic segmentation tasks, obtained using the publicly available DiNAT-... | [] | [
"TAGS\n#license-mit #region-us \n"
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11
] | [
"passage: TAGS\n#license-mit #region-us \n"
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d5cbb662ee4a23958508264be77f119ff38b2da0 |
This dataset contains Q&A based on what kind of questions do people ask online with their respective answers. This can be used as an LLM project where we finetune an LLM and create a chatbot where one can ask the chatbot any question related to Apple products and get respective answers.
## To use this dataset try run... | Aashi/All_About_Apple_Devices | [
"task_categories:question-answering",
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:mit",
"tech",
"region:us"
] | 2023-12-17T23:51:57+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["question-answering", "conversational"], "pretty_name": "A3D \ud83d\ude80", "tags": ["tech"]} | 2024-01-06T05:12:34+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-conversational #size_categories-n<1K #language-English #license-mit #tech #region-us
|
This dataset contains Q&A based on what kind of questions do people ask online with their respective answers. This can be used as an LLM project where we finetune an LLM and create a chatbot where one can ask the chatbot any question related to Apple products and get respective answers.
## To use this dataset try run... | [
"## To use this dataset try running the following code:\n\n- dataset = load_dataset(\"Aashi/All_About_Apple_Devices\", data_files={\"train\": \"URL\"})\n\n- df_train = dataset['train'].to_pandas()"
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69fa1b709db684121fab67ebf30abd5e3dde19f6 | # Hamza - Uzbek-Russian parallel corpora.
## Overview
**Hamza** is a parallel corpus containing over 15,000 aligned sentences in Uzbek and Russian.
## Creation
Created using [lingtrain](https://github.com/averkij/lingtrain-aligner). Text mined from different websites and telegram channels.
### Format
The dataset is ... | nixon0630/hamza_1.0 | [
"task_categories:translation",
"language:uz",
"language:ru",
"license:mit",
"region:us"
] | 2023-12-18T00:59:36+00:00 | {"language": ["uz", "ru"], "license": "mit", "task_categories": ["translation"], "pretty_name": "uzbek-russian_parallel_corpora"} | 2023-12-18T01:18:36+00:00 | [] | [
"uz",
"ru"
] | TAGS
#task_categories-translation #language-Uzbek #language-Russian #license-mit #region-us
| # Hamza - Uzbek-Russian parallel corpora.
## Overview
Hamza is a parallel corpus containing over 15,000 aligned sentences in Uzbek and Russian.
## Creation
Created using lingtrain. Text mined from different websites and telegram channels.
### Format
The dataset is presented in TMX (Translation Memory eXchange).
| [
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"## Creation\nCreated using lingtrain. Text mined from different websites and telegram channels.",
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"passage: TAGS\n#task_categories-translation #language-Uzbek #language-Russian #license-mit #region-us \n# Hamza - Uzbek-Russian parallel corpora.## Overview\nHamza is a parallel corpus containing over 15,000 aligned sentences in Uzbek and Russian.## Creation\nCreated using lingtrain. Text mined from different webs... |
78778d1baa8417a5502ec2838ee409c7376d8e5c | # Dataset Card for "openai_summarize_generated_20k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mnoukhov/openai_summarize_generated_20k | [
"region:us"
] | 2023-12-18T01:31:35+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35982323, "num_examples": 20000}], "download_size": 21908175, "dataset_size": 35982323}, "configs": [{"config_name": "default",... | 2023-12-18T01:31:45+00:00 | [] | [] | TAGS
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| # Dataset Card for "openai_summarize_generated_20k"
More Information needed | [
"# Dataset Card for \"openai_summarize_generated_20k\"\n\nMore Information needed"
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e56da8eee7a96d786dff93cb5e4c8aaefd73e04d |
# Dataset Card for Evaluation run of Dans-DiscountModels/TinyLlama-1.1B-FFT-Test2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Dans-DiscountModels/TinyLlama-1.1B-FFT-Test2](https://huggingface.co/Dans-DiscountModels/TinyLlama-1.1B-FFT-Test2) on th... | open-llm-leaderboard/details_Dans-DiscountModels__TinyLlama-1.1B-FFT-Test2 | [
"region:us"
] | 2023-12-18T02:56:51+00:00 | {"pretty_name": "Evaluation run of Dans-DiscountModels/TinyLlama-1.1B-FFT-Test2", "dataset_summary": "Dataset automatically created during the evaluation run of model [Dans-DiscountModels/TinyLlama-1.1B-FFT-Test2](https://huggingface.co/Dans-DiscountModels/TinyLlama-1.1B-FFT-Test2) on the [Open LLM Leaderboard](https:/... | 2023-12-18T02:57:33+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of Dans-DiscountModels/TinyLlama-1.1B-FFT-Test2
Dataset automatically created during the evaluation run of model Dans-DiscountModels/TinyLlama-1.1B-FFT-Test2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated tas... | [
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73ed35fa61fbb3720cad03a7ad6584e47ba4e98a |
# Dataset Card for Evaluation run of quantumaikr/quantum-trinity-v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [quantumaikr/quantum-trinity-v0.1](https://huggingface.co/quantumaikr/quantum-trinity-v0.1) on the [Open LLM Leaderboard](https://hug... | open-llm-leaderboard/details_quantumaikr__quantum-trinity-v0.1 | [
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] | 2023-12-18T03:22:48+00:00 | {"pretty_name": "Evaluation run of quantumaikr/quantum-trinity-v0.1", "dataset_summary": "Dataset automatically created during the evaluation run of model [quantumaikr/quantum-trinity-v0.1](https://huggingface.co/quantumaikr/quantum-trinity-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2023-12-18T03:23:32+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of quantumaikr/quantum-trinity-v0.1
Dataset automatically created during the evaluation run of model quantumaikr/quantum-trinity-v0.1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been... | [
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3180be925b4f5f656cf67bece08b13812b21e9d9 | Please concatenate all the content of README files in the repo, while we only provide the link of README file in root for each repository in the ML-Bench.
You can find README crawler and BM25 retrieval 'script' in [our github](https://github.com/gersteinlab/ML-Bench/tree/master/script)
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#region-us
| Please concatenate all the content of README files in the repo, while we only provide the link of README file in root for each repository in the ML-Bench.
You can find README crawler and BM25 retrieval 'script' in our github
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92c86f34fabdc423ecc7ad0fa76739a7102a4bc6 | # Dataset Card for "dcase2016_task2_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/dcase2016_task2_extract_unit | [
"region:us"
] | 2023-12-18T03:45:25+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... | 2023-12-19T10:46:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dcase2016_task2_extract_unit"
More Information needed | [
"# Dataset Card for \"dcase2016_task2_extract_unit\"\n\nMore Information needed"
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bbaf5f06198740e58444ce771e0f4afa6e2caede | # Dataset Card for "openai_summarize_generated_20k_relabelled"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mnoukhov/openai_summarize_generated_20k_relabel_410m_dpo1 | [
"region:us"
] | 2023-12-18T03:47:52+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35982323, "num_examples": 20000}], "download_size": 21903259, "dataset_size": 35982323}, "configs": [{"config_name": "default",... | 2023-12-18T03:48:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "openai_summarize_generated_20k_relabelled"
More Information needed | [
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9624228ef19608258aa3df0c3ba160a12ec44ed2 | This dataset is a low-resolution sea-level-pressure field for testing the global weather model.
File information:
- Variable: sea-level-pressure (slp)
- Spatial resolution: 4 degree lat and lon
- Spatial dimension: 46(lat) * 90(lon)
- Temporal resolution: 1 day
- Number of snapshots: 7300 (approx 20 years)
- S... | Zhouf23/slp-2002-2022-4degree | [
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"climate",
"region:us"
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#size_categories-1K<n<10K #license-mit #climate #region-us
| This dataset is a low-resolution sea-level-pressure field for testing the global weather model.
File information:
- Variable: sea-level-pressure (slp)
- Spatial resolution: 4 degree lat and lon
- Spatial dimension: 46(lat) * 90(lon)
- Temporal resolution: 1 day
- Number of snapshots: 7300 (approx 20 years)
- S... | [] | [
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cf10be2cf8109cab2baf594457c6ad6944962180 | # About dataset
[The Philosophy Data Project](https://philosophydata.com/index.html) is a corpus and a set of anaylsis based philosophy texts, totaling over 50 texts and 30 authors, made by Kourosh Alizadeh.
- `school`: Broad categorization of which school of thought each book belongs to. Sometimes, this classificati... | yjkim27/The-Philosophy-Data-Project | [
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#language-English #llm #language-modeling #region-us
| # About dataset
The Philosophy Data Project is a corpus and a set of anaylsis based philosophy texts, totaling over 50 texts and 30 authors, made by Kourosh Alizadeh.
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35ddebe66af13939dec0206fee588f31613823bf | # Dataset Card for "mridangam_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/mridangam_extract_unit | [
"region:us"
] | 2023-12-18T04:14:09+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... | 2023-12-18T04:15:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mridangam_extract_unit"
More Information needed | [
"# Dataset Card for \"mridangam_extract_unit\"\n\nMore Information needed"
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5668bf10a3ac51add544c55b7155a60e01ce257c | This dataset is created for testing global climate model
- Variable: sea-level-pressure
- Spatial resolution: 2 degree lat and lon
- Spatial dim: (90 lat, 181 lon)
- Temporal resolution: 1 day
- Number of snamshots: 7300 | Zhouf23/slp-2002-2022-2degree | [
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#license-mit #region-us
| This dataset is created for testing global climate model
- Variable: sea-level-pressure
- Spatial resolution: 2 degree lat and lon
- Spatial dim: (90 lat, 181 lon)
- Temporal resolution: 1 day
- Number of snamshots: 7300 | [] | [
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8ffc12a3cd8c6b47c7c15f23cf25ed85b8f91097 | # Dataset Card for "gunshot_triangulation_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/gunshot_triangulation_synth | [
"region:us"
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| # Dataset Card for "gunshot_triangulation_synth"
More Information needed | [
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adc79f39136d8bc4ade70ceee5667b7be8358115 |
# Dataset Card for Evaluation run of perlthoughts/neural-chat-v3-3-8x7b-MoE
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [perlthoughts/neural-chat-v3-3-8x7b-MoE](https://huggingface.co/perlthoughts/neural-chat-v3-3-8x7b-MoE) on the [Open LLM Leader... | open-llm-leaderboard/details_perlthoughts__neural-chat-v3-3-8x7b-MoE | [
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] | 2023-12-18T05:26:59+00:00 | {"pretty_name": "Evaluation run of perlthoughts/neural-chat-v3-3-8x7b-MoE", "dataset_summary": "Dataset automatically created during the evaluation run of model [perlthoughts/neural-chat-v3-3-8x7b-MoE](https://huggingface.co/perlthoughts/neural-chat-v3-3-8x7b-MoE) on the [Open LLM Leaderboard](https://huggingface.co/sp... | 2023-12-18T05:27:50+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of perlthoughts/neural-chat-v3-3-8x7b-MoE
Dataset automatically created during the evaluation run of model perlthoughts/neural-chat-v3-3-8x7b-MoE on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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# Dataset Card for Evaluation run of MisterRid/wendigo-14b-alpha1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MisterRid/wendigo-14b-alpha1](https://huggingface.co/MisterRid/wendigo-14b-alpha1) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_MisterRid__wendigo-14b-alpha1 | [
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# Dataset Card for Evaluation run of MisterRid/wendigo-14b-alpha1
Dataset automatically created during the evaluation run of model MisterRid/wendigo-14b-alpha1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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# Dataset Card for Evaluation run of MisterRid/wendigo-14b-alpha2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MisterRid/wendigo-14b-alpha2](https://huggingface.co/MisterRid/wendigo-14b-alpha2) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_MisterRid__wendigo-14b-alpha2 | [
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# Dataset Card for Evaluation run of MisterRid/wendigo-14b-alpha2
Dataset automatically created during the evaluation run of model MisterRid/wendigo-14b-alpha2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of MisterRid/wendigo-14b-alpha2\n\n\n\nDataset automatically created during the evaluation run of model MisterRid/wendigo-14b-alpha2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluat... |
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# Dataset Card for Evaluation run of MisterRid/wendigo-14b-alpha3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MisterRid/wendigo-14b-alpha3](https://huggingface.co/MisterRid/wendigo-14b-alpha3) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_MisterRid__wendigo-14b-alpha3 | [
"region:us"
] | 2023-12-18T06:15:08+00:00 | {"pretty_name": "Evaluation run of MisterRid/wendigo-14b-alpha3", "dataset_summary": "Dataset automatically created during the evaluation run of model [MisterRid/wendigo-14b-alpha3](https://huggingface.co/MisterRid/wendigo-14b-alpha3) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2023-12-18T06:15:53+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of MisterRid/wendigo-14b-alpha3
Dataset automatically created during the evaluation run of model MisterRid/wendigo-14b-alpha3 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created... | [
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# Datasets
* small_train: 3000 rows (0: 1500, 1: 1500) (subset of train)
* train: 43868 rows (0: 26871, 1: 16997)
* test: 1000 rows (0: 500, 1: 500)
# label
* 0: human
* 1: ai | lectura/dagit2-fake-detection | [
"region:us"
] | 2023-12-18T06:18:54+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "prompt_name", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "RDizzl3_seven", "dtype": "bool"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "small_train", "nu... | 2023-12-18T06:25:11+00:00 | [] | [] | TAGS
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# Datasets
* small_train: 3000 rows (0: 1500, 1: 1500) (subset of train)
* train: 43868 rows (0: 26871, 1: 16997)
* test: 1000 rows (0: 500, 1: 500)
# label
* 0: human
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f89227d920af3de9718f35c35c926beae5308919 |
# Dataset Card for Evaluation run of MisterRid/wendigo-14b-alpha4
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MisterRid/wendigo-14b-alpha4](https://huggingface.co/MisterRid/wendigo-14b-alpha4) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_MisterRid__wendigo-14b-alpha4 | [
"region:us"
] | 2023-12-18T06:49:32+00:00 | {"pretty_name": "Evaluation run of MisterRid/wendigo-14b-alpha4", "dataset_summary": "Dataset automatically created during the evaluation run of model [MisterRid/wendigo-14b-alpha4](https://huggingface.co/MisterRid/wendigo-14b-alpha4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2023-12-18T06:50:17+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of MisterRid/wendigo-14b-alpha4
Dataset automatically created during the evaluation run of model MisterRid/wendigo-14b-alpha4 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created... | [
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# Dataset Card for Evaluation run of migtissera/Synthia-7B-v3.0
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [migtissera/Synthia-7B-v3.0](https://huggingface.co/migtissera/Synthia-7B-v3.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_migtissera__Synthia-7B-v3.0 | [
"region:us"
] | 2023-12-18T07:13:12+00:00 | {"pretty_name": "Evaluation run of migtissera/Synthia-7B-v3.0", "dataset_summary": "Dataset automatically created during the evaluation run of model [migtissera/Synthia-7B-v3.0](https://huggingface.co/migtissera/Synthia-7B-v3.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2023-12-18T07:13:56+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of migtissera/Synthia-7B-v3.0
Dataset automatically created during the evaluation run of model migtissera/Synthia-7B-v3.0 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 fro... | [
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## Dataset Details

## Description
The "DataX" dataset is a curated collection combining data generated by large language models (LLMs) and information scraped from Wikipedia.
It spans a vast array of topics, providing a rich resource for tasks such as text generation, text-to-text generat... | GunA-SD/DataX | [
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"region:us"
] | 2023-12-18T07:26:51+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["text-generation", "summarization", "conversational"], "dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "Topic", "dtype": "string"}, {"name": "Content", "dtype": "string"}], "splits": [{"na... | 2024-02-14T17:18:34+00:00 | [] | [
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|
## Dataset Details
!image/png
## Description
The "DataX" dataset is a curated collection combining data generated by large language models (LLMs) and information scraped from Wikipedia.
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1f79ad3d711648fc90d5c201880013dab12829b6 |
# Dataset Card for Ultra Feedback Dutch
## Dataset Description
This is a Dutch recreation of [HuggingFaceH4/ultrafeedback_binarized](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized), which in turn is based on the source dataset [UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedb... | BramVanroy/ultra_feedback_dutch | [
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"license:cc-by-nc-4.0",
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| Dataset Card for Ultra Feedback Dutch
=====================================
Dataset Description
-------------------
This is a Dutch recreation of HuggingFaceH4/ultrafeedback\_binarized, which in turn is based on the source dataset UltraFeedback. It contains single-turn responses to a prompt by two different systems... | [
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9fa4db3f4a22597d093f23b9ce64bb63d9b215e8 | Since automatic open source benchmark leaderboard got flooded with incoherent overtrained cheater meme models, I decided to take the matters in my own hands and create my own set of proprietary tests. The aim of these tests is not to see how smart the model is, but to see how good it is at execution of commands and cre... | ChuckMcSneed/NeoEvalPlusN_benchmark | [
"license:wtfpl",
"region:us"
] | 2023-12-18T07:39:37+00:00 | {"license": "wtfpl"} | 2024-02-16T02:04:34+00:00 | [] | [] | TAGS
#license-wtfpl #region-us
| Since automatic open source benchmark leaderboard got flooded with incoherent overtrained cheater meme models, I decided to take the matters in my own hands and create my own set of proprietary tests. The aim of these tests is not to see how smart the model is, but to see how good it is at execution of commands and cre... | [
"## B-test:\nThis test is designed to establish the baseline of the model. It consists of a main task and a bunch of text, which model has to ignore while still executing the task. If the model refuses or fails to comply in a logical way immediately, it fails(0/3). After the initial request question it will get bom... | [
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36b85ac86dccd72443f0732fc1b453743dddceb3 | # Dataset Card for "beauty_baby_hpc_grocery"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nitinbhayana/beauty_baby_hpc_grocery | [
"region:us"
] | 2023-12-18T08:15:48+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2762574, "num_examples": 20029}, {"name": "test", "num_bytes": 1210499, "num_examples": 8798}], "download_size": 1894299, "dataset_size": 3973073}} | 2023-12-18T08:15:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beauty_baby_hpc_grocery"
More Information needed | [
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2a0f22725601e6fc42392864c28539701194cd0f |
# SEED-Bench Card
## Benchmark details
**Benchmark type:**
SEED-Bench-2 is a comprehensive large-scale benchmark for evaluating Multimodal Large Language Models (MLLMs), featuring 24K multiple-choice questions with precise human annotations.
It spans 27 evaluation dimensions, assessing both text and image generat... | AILab-CVC/SEED-Bench-2 | [
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"size_categories:10K<n<100K",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-18T08:15:53+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["visual-question-answering"], "pretty_name": "SEED-Bench-2"} | 2023-12-18T08:37:14+00:00 | [] | [
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#task_categories-visual-question-answering #size_categories-10K<n<100K #language-English #license-cc-by-nc-4.0 #region-us
|
# SEED-Bench Card
## Benchmark details
Benchmark type:
SEED-Bench-2 is a comprehensive large-scale benchmark for evaluating Multimodal Large Language Models (MLLMs), featuring 24K multiple-choice questions with precise human annotations.
It spans 27 evaluation dimensions, assessing both text and image generation.... | [
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3a773ea59c9d3e797dff742f6c337f7702243f51 |
# Dataset Card for Evaluation run of luffycodes/vicuna-mmlu-val-mcq-7b-ep2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [luffycodes/vicuna-mmlu-val-mcq-7b-ep2](https://huggingface.co/luffycodes/vicuna-mmlu-val-mcq-7b-ep2) on the [Open LLM Leaderboa... | open-llm-leaderboard/details_luffycodes__vicuna-mmlu-val-mcq-7b-ep2 | [
"region:us"
] | 2023-12-18T08:22:35+00:00 | {"pretty_name": "Evaluation run of luffycodes/vicuna-mmlu-val-mcq-7b-ep2", "dataset_summary": "Dataset automatically created during the evaluation run of model [luffycodes/vicuna-mmlu-val-mcq-7b-ep2](https://huggingface.co/luffycodes/vicuna-mmlu-val-mcq-7b-ep2) on the [Open LLM Leaderboard](https://huggingface.co/space... | 2023-12-18T08:23:21+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of luffycodes/vicuna-mmlu-val-mcq-7b-ep2
Dataset automatically created during the evaluation run of model luffycodes/vicuna-mmlu-val-mcq-7b-ep2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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# Dataset Card for Evaluation run of openchat/openchat-3.5-1210
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [openchat/openchat-3.5-1210](https://huggingface.co/openchat/openchat-3.5-1210) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_openchat__openchat-3.5-1210 | [
"region:us"
] | 2023-12-18T08:22:50+00:00 | {"pretty_name": "Evaluation run of openchat/openchat-3.5-1210", "dataset_summary": "Dataset automatically created during the evaluation run of model [openchat/openchat-3.5-1210](https://huggingface.co/openchat/openchat-3.5-1210) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2023-12-18T08:23:33+00:00 | [] | [] | TAGS
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|
# Dataset Card for Evaluation run of openchat/openchat-3.5-1210
Dataset automatically created during the evaluation run of model openchat/openchat-3.5-1210 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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"# Dataset Card for Evaluation run of openchat/openchat-3.5-1210\n\n\n\nDataset automatically created during the evaluation run of model openchat/openchat-3.5-1210 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of openchat/openchat-3.5-1210\n\n\n\nDataset automatically created during the evaluation run of model openchat/openchat-3.5-1210 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated t... |
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# Dataset Card for Evaluation run of NExtNewChattingAI/shark_tank_ai_7_b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [NExtNewChattingAI/shark_tank_ai_7_b](https://huggingface.co/NExtNewChattingAI/shark_tank_ai_7_b) on the [Open LLM Leaderboard](ht... | open-llm-leaderboard/details_NExtNewChattingAI__shark_tank_ai_7_b | [
"region:us"
] | 2023-12-18T08:25:36+00:00 | {"pretty_name": "Evaluation run of NExtNewChattingAI/shark_tank_ai_7_b", "dataset_summary": "Dataset automatically created during the evaluation run of model [NExtNewChattingAI/shark_tank_ai_7_b](https://huggingface.co/NExtNewChattingAI/shark_tank_ai_7_b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugg... | 2023-12-18T08:26:22+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of NExtNewChattingAI/shark_tank_ai_7_b
Dataset automatically created during the evaluation run of model NExtNewChattingAI/shark_tank_ai_7_b on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ha... | [
"# Dataset Card for Evaluation run of NExtNewChattingAI/shark_tank_ai_7_b\n\n\n\nDataset automatically created during the evaluation run of model NExtNewChattingAI/shark_tank_ai_7_b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nTh... | [
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"# Dataset Card for Evaluation run of NExtNewChattingAI/shark_tank_ai_7_b\n\n\n\nDataset automatically created during the evaluation run of model NExtNewChattingAI/shark_tank_ai_7_b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of ... | [
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# Dataset Card for Evaluation run of mncai/mistral-7b-dpo-merge-v1.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [mncai/mistral-7b-dpo-merge-v1.1](https://huggingface.co/mncai/mistral-7b-dpo-merge-v1.1) on the [Open LLM Leaderboard](https://huggin... | open-llm-leaderboard/details_mncai__mistral-7b-dpo-merge-v1.1 | [
"region:us"
] | 2023-12-18T08:26:58+00:00 | {"pretty_name": "Evaluation run of mncai/mistral-7b-dpo-merge-v1.1", "dataset_summary": "Dataset automatically created during the evaluation run of model [mncai/mistral-7b-dpo-merge-v1.1](https://huggingface.co/mncai/mistral-7b-dpo-merge-v1.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/op... | 2023-12-18T08:27:44+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of mncai/mistral-7b-dpo-merge-v1.1
Dataset automatically created during the evaluation run of model mncai/mistral-7b-dpo-merge-v1.1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been c... | [
"# Dataset Card for Evaluation run of mncai/mistral-7b-dpo-merge-v1.1\n\n\n\nDataset automatically created during the evaluation run of model mncai/mistral-7b-dpo-merge-v1.1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe datase... | [
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# Dataset Card for Evaluation run of quantumaikr/quantum-dpo-v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [quantumaikr/quantum-dpo-v0.1](https://huggingface.co/quantumaikr/quantum-dpo-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_quantumaikr__quantum-dpo-v0.1 | [
"region:us"
] | 2023-12-18T08:28:27+00:00 | {"pretty_name": "Evaluation run of quantumaikr/quantum-dpo-v0.1", "dataset_summary": "Dataset automatically created during the evaluation run of model [quantumaikr/quantum-dpo-v0.1](https://huggingface.co/quantumaikr/quantum-dpo-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2023-12-18T08:29:12+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of quantumaikr/quantum-dpo-v0.1
Dataset automatically created during the evaluation run of model quantumaikr/quantum-dpo-v0.1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created... | [
"# Dataset Card for Evaluation run of quantumaikr/quantum-dpo-v0.1\n\n\n\nDataset automatically created during the evaluation run of model quantumaikr/quantum-dpo-v0.1 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 ... | [
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"# Dataset Card for Evaluation run of quantumaikr/quantum-dpo-v0.1\n\n\n\nDataset automatically created during the evaluation run of model quantumaikr/quantum-dpo-v0.1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated ... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of quantumaikr/quantum-dpo-v0.1\n\n\n\nDataset automatically created during the evaluation run of model quantumaikr/quantum-dpo-v0.1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluat... |
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# Dataset Card for Evaluation run of cookinai/BruinHermes
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [cookinai/BruinHermes](https://huggingface.co/cookinai/BruinHermes) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/ope... | open-llm-leaderboard/details_cookinai__BruinHermes | [
"region:us"
] | 2023-12-18T08:31:05+00:00 | {"pretty_name": "Evaluation run of cookinai/BruinHermes", "dataset_summary": "Dataset automatically created during the evaluation run of model [cookinai/BruinHermes](https://huggingface.co/cookinai/BruinHermes) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe datas... | 2023-12-18T08:31:51+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of cookinai/BruinHermes
Dataset automatically created during the evaluation run of model cookinai/BruinHermes on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). ... | [
"# Dataset Card for Evaluation run of cookinai/BruinHermes\n\n\n\nDataset automatically created during the evaluation run of model cookinai/BruinHermes 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 fro... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of cookinai/BruinHermes\n\n\n\nDataset automatically created during the evaluation run of model cookinai/BruinHermes on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe ... |
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# Dataset Card for Evaluation run of rishiraj/CatPPT
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [rishiraj/CatPPT](https://huggingface.co/rishiraj/CatPPT) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboa... | open-llm-leaderboard/details_rishiraj__CatPPT | [
"region:us"
] | 2023-12-18T08:33:01+00:00 | {"pretty_name": "Evaluation run of rishiraj/CatPPT", "dataset_summary": "Dataset automatically created during the evaluation run of model [rishiraj/CatPPT](https://huggingface.co/rishiraj/CatPPT) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed ... | 2023-12-18T08:33:44+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of rishiraj/CatPPT
Dataset automatically created during the evaluation run of model rishiraj/CatPPT 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). Each run c... | [
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# Dataset Card for Evaluation run of perlthoughts/Marcoroni-8x7B-v3-MoE
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [perlthoughts/Marcoroni-8x7B-v3-MoE](https://huggingface.co/perlthoughts/Marcoroni-8x7B-v3-MoE) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_perlthoughts__Marcoroni-8x7B-v3-MoE | [
"region:us"
] | 2023-12-18T08:54:27+00:00 | {"pretty_name": "Evaluation run of perlthoughts/Marcoroni-8x7B-v3-MoE", "dataset_summary": "Dataset automatically created during the evaluation run of model [perlthoughts/Marcoroni-8x7B-v3-MoE](https://huggingface.co/perlthoughts/Marcoroni-8x7B-v3-MoE) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2023-12-18T08:55:11+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of perlthoughts/Marcoroni-8x7B-v3-MoE
Dataset automatically created during the evaluation run of model perlthoughts/Marcoroni-8x7B-v3-MoE 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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# Dataset Card for Evaluation run of luffycodes/vicuna-mmlu-val-only-correct-mcq-7b-ep2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [luffycodes/vicuna-mmlu-val-only-correct-mcq-7b-ep2](https://huggingface.co/luffycodes/vicuna-mmlu-val-only-correct... | open-llm-leaderboard/details_luffycodes__vicuna-mmlu-val-only-correct-mcq-7b-ep2 | [
"region:us"
] | 2023-12-18T08:57:00+00:00 | {"pretty_name": "Evaluation run of luffycodes/vicuna-mmlu-val-only-correct-mcq-7b-ep2", "dataset_summary": "Dataset automatically created during the evaluation run of model [luffycodes/vicuna-mmlu-val-only-correct-mcq-7b-ep2](https://huggingface.co/luffycodes/vicuna-mmlu-val-only-correct-mcq-7b-ep2) on the [Open LLM Le... | 2023-12-18T08:57:41+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of luffycodes/vicuna-mmlu-val-only-correct-mcq-7b-ep2
Dataset automatically created during the evaluation run of model luffycodes/vicuna-mmlu-val-only-correct-mcq-7b-ep2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the e... | [
"# Dataset Card for Evaluation run of luffycodes/vicuna-mmlu-val-only-correct-mcq-7b-ep2\n\n\n\nDataset automatically created during the evaluation run of model luffycodes/vicuna-mmlu-val-only-correct-mcq-7b-ep2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to on... | [
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02366bc66bd43aa69e707747487ec8f3c22cac84 | # Geo Reviews Dataset 2023
Yandex is making available the largest Russian-language dataset of reviews about organizations published on Yandex Maps.
Use it for academic and research purposes, share your results with us in Issues.
## Dataset Description
- **Repository:** https://github.com/yandex/geo-reviews-dataset-... | d0rj/geo-reviews-dataset-2023 | [
"task_categories:text-classification",
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"yandex",... | 2023-12-18T09:11:11+00:00 | {"language": "ru", "license": "mit", "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification", "sentence-similarity", "token-classification", "text2text-generation"], "pretty_name": "Geo Reviews Dataset 2023", "configs": [{"config_n... | 2023-12-18T09:31:28+00:00 | [] | [
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| # Geo Reviews Dataset 2023
Yandex is making available the largest Russian-language dataset of reviews about organizations published on Yandex Maps.
Use it for academic and research purposes, share your results with us in Issues.
## Dataset Description
- Repository: URL
- Paper: Яндекс Карты открывают крупнейший рус... | [
"# Geo Reviews Dataset 2023\n\nYandex is making available the largest Russian-language dataset of reviews about organizations published on Yandex Maps.\n\nUse it for academic and research purposes, share your results with us in Issues.",
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# Dataset Card for Evaluation run of martyn/llama2-megamerge-dare-13b-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [martyn/llama2-megamerge-dare-13b-v2](https://huggingface.co/martyn/llama2-megamerge-dare-13b-v2) on the [Open LLM Leaderboard](ht... | open-llm-leaderboard/details_martyn__llama2-megamerge-dare-13b-v2 | [
"region:us"
] | 2023-12-18T09:12:59+00:00 | {"pretty_name": "Evaluation run of martyn/llama2-megamerge-dare-13b-v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [martyn/llama2-megamerge-dare-13b-v2](https://huggingface.co/martyn/llama2-megamerge-dare-13b-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugg... | 2023-12-18T09:13:44+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of martyn/llama2-megamerge-dare-13b-v2
Dataset automatically created during the evaluation run of model martyn/llama2-megamerge-dare-13b-v2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ha... | [
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# JEEBench(EMNLP 2023)
Repository for the code and dataset for the paper: "Have LLMs Advanced Enough? A Harder Problem Solving Benchmark For Large Language Models" accepted in EMNLP 2023 as a Main conference paper.
https://aclanthology.org/2023.emnlp-main.468/
## Citation
If you use our dataset in your research, p... | daman1209arora/jeebench | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"license:mit",
"chemistry",
"physics",
"mathematics",
"region:us"
] | 2023-12-18T09:24:26+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "pretty_name": "jeebench", "tags": ["chemistry", "physics", "mathematics"]} | 2023-12-18T09:31:37+00:00 | [] | [
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|
# JEEBench(EMNLP 2023)
Repository for the code and dataset for the paper: "Have LLMs Advanced Enough? A Harder Problem Solving Benchmark For Large Language Models" accepted in EMNLP 2023 as a Main conference paper.
URL
If you use our dataset in your research, please cite it using the following
| [
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f2a58ad2cd777d5426b4bf9f7f7af826180f9d6c |
# Dataset Card for Evaluation run of EmbeddedLLM/Mistral-7B-Merge-14-v0
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [EmbeddedLLM/Mistral-7B-Merge-14-v0](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_EmbeddedLLM__Mistral-7B-Merge-14-v0 | [
"region:us"
] | 2023-12-18T09:28:55+00:00 | {"pretty_name": "Evaluation run of EmbeddedLLM/Mistral-7B-Merge-14-v0", "dataset_summary": "Dataset automatically created during the evaluation run of model [EmbeddedLLM/Mistral-7B-Merge-14-v0](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2023-12-18T09:29:39+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of EmbeddedLLM/Mistral-7B-Merge-14-v0
Dataset automatically created during the evaluation run of model EmbeddedLLM/Mistral-7B-Merge-14-v0 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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f8ae6495b3a275382c51de1bd3b2a1f8666df363 | # Dataset Card for "r_j5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jksheth/r_j5 | [
"region:us"
] | 2023-12-18T10:20:57+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "name", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "price", "dtype": "float64"}, {"name": "category_id", "dtype": "int64"}, {"name": "category", "dtype": "string"}, {"name": "file_name", "dtype": "string"}], "splits"... | 2023-12-18T10:21:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "r_j5"
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# Dataset Card for Evaluation run of Mihaiii/Metis-0.3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Mihaiii/Metis-0.3](https://huggingface.co/Mihaiii/Metis-0.3) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_lea... | open-llm-leaderboard/details_Mihaiii__Metis-0.3 | [
"region:us"
] | 2023-12-18T10:32:43+00:00 | {"pretty_name": "Evaluation run of Mihaiii/Metis-0.3", "dataset_summary": "Dataset automatically created during the evaluation run of model [Mihaiii/Metis-0.3](https://huggingface.co/Mihaiii/Metis-0.3) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is com... | 2023-12-18T10:33:28+00:00 | [] | [] | TAGS
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|
# Dataset Card for Evaluation run of Mihaiii/Metis-0.3
Dataset automatically created during the evaluation run of model Mihaiii/Metis-0.3 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). Each r... | [
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# CBIS-DDSM Dataset
## Overview
The CBIS-DDSM (Curated Breast Imaging Subset of DDSM) dataset is a collection of medical images for breast cancer research. It is a subset of the Digital Database for Screening Mammography (DDSM) and has been carefully curated to facilitate research in computer-aided diagnosis and med... | Reverb/CBIS-DDSM | [
"task_categories:image-classification",
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] | 2023-12-18T11:17:38+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["image-classification"], "tags": ["medical"]} | 2023-12-18T14:50:49+00:00 | [] | [
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#task_categories-image-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #medical #region-us
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# CBIS-DDSM Dataset
## Overview
The CBIS-DDSM (Curated Breast Imaging Subset of DDSM) dataset is a collection of medical images for breast cancer research. It is a subset of the Digital Database for Screening Mammography (DDSM) and has been carefully curated to facilitate research in computer-aided diagnosis and med... | [
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198a370507acefd61404fbbda43ccecb372874dc | # Bulletin officiel des finances publiques - impôts, non-instruct (11-12-2023)
This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice.
Fine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particular domain... | louisbrulenaudet/bofip | [
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"... | 2023-12-18T11:36:17+00:00 | {"language": ["fr"], "license": "apache-2.0", "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-generation", "table-question-answering", "summarization", "conversational"], "pretty_name": "Bulletin officiel des finances publiques - imp\u00f4t... | 2023-12-18T13:21:46+00:00 | [] | [
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This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice.
Fine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particular domain... | [
"# Bulletin officiel des finances publiques - impôts, non-instruct (11-12-2023)\n\nThis project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice. \n\nFine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particul... | [
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b16fa32116b2bdd11d6253181ecd76e1d94ec0db | # Dataset Card for "gu-course-syllabus"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | anordkvist/gu-course-syllabus | [
"region:us"
] | 2023-12-18T12:08:23+00:00 | {"dataset_info": {"features": [{"name": "course_code", "dtype": "string"}, {"name": "Confirmation", "dtype": "string"}, {"name": "Position in the educational system", "dtype": "string"}, {"name": "Entry requirements", "dtype": "string"}, {"name": "Learning outcomes", "dtype": "string"}, {"name": "Course content", "dtyp... | 2023-12-22T11:16:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gu-course-syllabus"
More Information needed | [
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a4454347d4f34dddd839a090d4ddd4fa7cae1ff7 |
### Dataset Card for "Bias Detection Counterfactuals"
**Summary**
- **Description**: This dataset is designed to assess the fairness of language models by providing sentences that systematically vary by attributes such as gender, race, and religion. It allows for bias measurement, response consistency evaluation, a... | newsmediabias/Bias-Detection-Counterfactuals | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-18T12:37:31+00:00 | {"license": "cc-by-nc-4.0"} | 2023-12-18T12:43:35+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
### Dataset Card for "Bias Detection Counterfactuals"
Summary
- Description: This dataset is designed to assess the fairness of language models by providing sentences that systematically vary by attributes such as gender, race, and religion. It allows for bias measurement, response consistency evaluation, and count... | [
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4424f18d83c6b0828fc1e640055284bf9ee6c9da |
A dataset of parallel translation-based instructions for Indonesian language as a target language. </br>
Materials are taken from randomly selected children stories at https://storyweaver.org.in, under CC-By-SA-4.0 license. </br>
The template IDs are:</br>
(1, 'Terjemahkanlah penggalan teks cerita anak berikut dari t... | Iftitahu/indonesian_instruct_stories | [
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] | 2023-12-18T13:28:32+00:00 | {"language": ["id", "jv", "su", "en"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["translation", "text-generation", "text2text-generation"]} | 2024-01-25T07:05:14+00:00 | [] | [
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A dataset of parallel translation-based instructions for Indonesian language as a target language. </br>
Materials are taken from randomly selected children stories at URL, under CC-By-SA-4.0 license. </br>
The template IDs are:</br>
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71f3faa6574e072188fedc0cb30275644b99d37e | ## Dataset Description
- **Point of Contact:** johan.sundstrom@yle.fi, vertti.luostarinen@gmail.com
### Dataset Summary
Tuumailubotti dataset is a Finnish-speaking conversational dataset containing 364 rows of simulated reflective conversations about work life from a neurodiversity-affirming perspective. Each row o... | Yleisradio/Tuumailubotti | [
"task_categories:conversational",
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] | 2023-12-18T13:34:26+00:00 | {"language": ["fi"], "license": "other", "size_categories": ["n<1K"], "task_categories": ["conversational"], "dataset_info": {"features": [{"name": "System", "dtype": "string"}, {"name": "Prompt", "dtype": "string"}, {"name": "Replies [1]", "dtype": "string"}, {"name": "Replies [2]", "dtype": "string"}, {"name": "Repli... | 2024-01-30T10:20:33+00:00 | [] | [
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| ## Dataset Description
- Point of Contact: johan.sundstrom@URL, vertti.luostarinen@URL
### Dataset Summary
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b9a42982b12af0722488f5c98f7089026a00b3ad | # Dataset Card for "Bubble-Factory-V0"
#### Since the training data is in the hands of others, it's like trying to stop the tide with a broom – you just can't prevent folks from training models on test sets.
#### So, here's our cheeky solution: let's gather the training and testing sets of popular benchmarks, making i... | Jellyfish042/Bubble-Factory-V0 | [
"region:us"
] | 2023-12-18T13:41:07+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "original_split", "dtype": "string"}, {"name": "type", "dtype": "string"}], "splits": [{"name": "train"... | 2023-12-18T14:18:56+00:00 | [] | [] | TAGS
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| # Dataset Card for "Bubble-Factory-V0"
#### Since the training data is in the hands of others, it's like trying to stop the tide with a broom – you just can't prevent folks from training models on test sets.
#### So, here's our cheeky solution: let's gather the training and testing sets of popular benchmarks, making i... | [
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65eb3d4b1069b3f34ee84afb5dacf268aeabcb9d |
# Dataset Card: Sudoku Dataset
## Dataset Overview
- **Dataset Sources:**
1. [1 million Sudoku games](https://www.kaggle.com/datasets/bryanpark/sudoku)
2. [3 million Sudoku puzzles with ratings](https://www.kaggle.com/datasets/radcliffe/3-million-sudoku-puzzles-with-ratings)
3. [4 Million Sudoku Puzzles Easy-... | Ritvik19/Sudoku-Dataset | [
"size_categories:10M<n<100M",
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] | 2023-12-18T13:44:17+00:00 | {"license": "apache-2.0", "size_categories": ["10M<n<100M"]} | 2023-12-18T13:51:01+00:00 | [] | [] | TAGS
#size_categories-10M<n<100M #license-apache-2.0 #region-us
|
# Dataset Card: Sudoku Dataset
## Dataset Overview
- Dataset Sources:
1. 1 million Sudoku games
2. 3 million Sudoku puzzles with ratings
3. 4 Million Sudoku Puzzles Easy-to-Hard
4. 9 Million Sudoku Puzzles and Solutions
5. ~2k miscellaneous scraped puzzles
- Dataset Size: 17M puzzles (16.7M for training,... | [
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"## Dataset Overview\n\n- Dataset Sources:\n\n 1. 1 million Sudoku games\n 2. 3 million Sudoku puzzles with ratings\n 3. 4 Million Sudoku Puzzles Easy-to-Hard\n 4. 9 Million Sudoku Puzzles and Solutions\... | [
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"passage: TAGS\n#size_categories-10M<n<100M #license-apache-2.0 #region-us \n# Dataset Card: Sudoku Dataset## Dataset Overview\n\n- Dataset Sources:\n\n 1. 1 million Sudoku games\n 2. 3 million Sudoku puzzles with ratings\n 3. 4 Million Sudoku Puzzles Easy-to-Hard\n 4. 9 Million Sudoku Puzzles and Solutions\n ... |
51d47e5ebb99106ff01aa20ad5108b56c743e9be | # Dataset Card for "vox_lingua_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/vox_lingua_extract_unit | [
"region:us"
] | 2023-12-18T13:44:22+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... | 2023-12-18T13:45:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vox_lingua_extract_unit"
More Information needed | [
"# Dataset Card for \"vox_lingua_extract_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 \"vox_lingua_extract_unit\"\n\nMore Information needed"
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39f26c978ba649d74a674344ae8bb735c5c38490 |
# Dataset Card for Evaluation run of KnutJaegersberg/Walter-Mistral-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [KnutJaegersberg/Walter-Mistral-7B](https://huggingface.co/KnutJaegersberg/Walter-Mistral-7B) on the [Open LLM Leaderboard](https://... | open-llm-leaderboard/details_KnutJaegersberg__Walter-Mistral-7B | [
"region:us"
] | 2023-12-18T13:59:45+00:00 | {"pretty_name": "Evaluation run of KnutJaegersberg/Walter-Mistral-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [KnutJaegersberg/Walter-Mistral-7B](https://huggingface.co/KnutJaegersberg/Walter-Mistral-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFac... | 2023-12-18T14:00:39+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of KnutJaegersberg/Walter-Mistral-7B
Dataset automatically created during the evaluation run of model KnutJaegersberg/Walter-Mistral-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has be... | [
"# Dataset Card for Evaluation run of KnutJaegersberg/Walter-Mistral-7B\n\n\n\nDataset automatically created during the evaluation run of model KnutJaegersberg/Walter-Mistral-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe da... | [
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e900390f4ad2baa259a2ec1063296a4ac04fc240 |
This is just a test | Lazycuber/Bactrian-en-jp-zh | [
"license:cc-by-4.0",
"region:us"
] | 2023-12-18T14:00:42+00:00 | {"license": "cc-by-4.0"} | 2023-12-18T14:10:30+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
This is just a test | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
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15
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"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
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ebe4eb73260a3bf737b40ffe2f8d8758f4e4c9b4 | # Dataset Card for "libricount_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/libricount_synth | [
"region:us"
] | 2023-12-18T14:04:30+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"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... | 2024-01-28T05:50:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "libricount_synth"
More Information needed | [
"# Dataset Card for \"libricount_synth\"\n\nMore Information needed"
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15
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"passage: TAGS\n#region-us \n# Dataset Card for \"libricount_synth\"\n\nMore Information needed"
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bc28ea1a2fd307a97bce1a29f9d6a877ca6f6d5b |
This is a small sample dataset of the Yodas manual dataset for testing purposes.
We are now working on uploading the entire dataset.
This sample dataset (and the coming full dataset) supports both the standard mode and streaming mode.
Usage:
```python
# standard mode, each subset will be downloaded to the local di... | espnet/yodas_sample | [
"license:cc-by-3.0",
"region:us"
] | 2023-12-18T14:05:33+00:00 | {"license": "cc-by-3.0"} | 2024-01-09T19:50:56+00:00 | [] | [] | TAGS
#license-cc-by-3.0 #region-us
|
This is a small sample dataset of the Yodas manual dataset for testing purposes.
We are now working on uploading the entire dataset.
This sample dataset (and the coming full dataset) supports both the standard mode and streaming mode.
Usage:
| [] | [
"TAGS\n#license-cc-by-3.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-3.0 #region-us \n"
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8aa1d8a8ebcfa330a5322804e10fd3a01c4fe89f |
### Dataset Card for QA Bias Detection Dataset
**Summary**
- **Description**: This dataset is designed for the task of bias detection in text, particularly focusing on dimensions of ageism and sentiment analysis. It contains question-answer pairs that assess potential biases in statements.
- **Purpose**: To facilita... | newsmediabias/Bias-Question-Answering | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-18T14:15:47+00:00 | {"license": "cc-by-nc-4.0"} | 2023-12-19T11:27:44+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
### Dataset Card for QA Bias Detection Dataset
Summary
- Description: This dataset is designed for the task of bias detection in text, particularly focusing on dimensions of ageism and sentiment analysis. It contains question-answer pairs that assess potential biases in statements.
- Purpose: To facilitate research ... | [
"### Dataset Card for QA Bias Detection Dataset\n\nSummary\n\n- Description: This dataset is designed for the task of bias detection in text, particularly focusing on dimensions of ageism and sentiment analysis. It contains question-answer pairs that assess potential biases in statements.\n- Purpose: To facilitate ... | [
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"### Dataset Card for QA Bias Detection Dataset\n\nSummary\n\n- Description: This dataset is designed for the task of bias detection in text, particularly focusing on dimensions of ageism and sentiment analysis. It contains question-answer pairs that assess potential b... | [
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"passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n### Dataset Card for QA Bias Detection Dataset\n\nSummary\n\n- Description: This dataset is designed for the task of bias detection in text, particularly focusing on dimensions of ageism and sentiment analysis. It contains question-answer pairs that assess potentia... |
f20a511dff829e1337aa2c6ec2e1b27c16f6c245 | # Dataset Card for "beijing_opera_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/beijing_opera_synth | [
"region:us"
] | 2023-12-18T14:25:49+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"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... | 2024-01-28T03:04:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beijing_opera_synth"
More Information needed | [
"# Dataset Card for \"beijing_opera_synth\"\n\nMore Information needed"
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78494b2c5ca055a9ad6b41236ea8ae0e322b44ad |
# Dataset Card for ranking_ds
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datas... | kursathalat/ranking_ds | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-12-18T14:47:59+00:00 | {"size_categories": "n<1K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2023-12-18T14:48:30+00:00 | [] | [] | TAGS
#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
| Dataset Card for ranking\_ds
============================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
---------------... | [
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible wi... | [
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ec53c12dda271a06cbb874d9ded9bf9fd56344bf |
A dataset of parallel translation-based instructions for Javanese language as a target language. </br>
Materials are taken from randomly selected children stories at https://storyweaver.org.in, under CC-By-SA-4.0 license. </br>
The template IDs are:</br>
(1, 'Terjemahno penggalan teks crito ing ngisor iki saka Bahas... | Iftitahu/javanese_instruct_stories | [
"task_categories:translation",
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:n<1K",
"language:id",
"language:jv",
"language:su",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-12-18T14:48:55+00:00 | {"language": ["id", "jv", "su", "en"], "license": "cc-by-4.0", "size_categories": ["n<1K"], "task_categories": ["translation", "text-generation", "text2text-generation"]} | 2024-01-25T07:08:21+00:00 | [] | [
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#task_categories-translation #task_categories-text-generation #task_categories-text2text-generation #size_categories-n<1K #language-Indonesian #language-Javanese #language-Sundanese #language-English #license-cc-by-4.0 #region-us
|
A dataset of parallel translation-based instructions for Javanese language as a target language. </br>
Materials are taken from randomly selected children stories at URL, under CC-By-SA-4.0 license. </br>
The template IDs are:</br>
(1, 'Terjemahno penggalan teks crito ing ngisor iki saka Bahasa Inggris dadi teks cri... | [] | [
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] |
40ad2f35e95f7cfe6dfa459b8632776767c160f4 |
# Dataset Card for rating_ds
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datase... | kursathalat/rating_ds | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-12-18T14:49:35+00:00 | {"size_categories": "n<1K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2023-12-18T14:49:37+00:00 | [] | [] | TAGS
#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
| Dataset Card for rating\_ds
===========================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
-----------------... | [
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible wi... | [
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183854183fecf5202feca10dbd3b52e757eb635c |
# Dataset Card for label_ds
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-dataset... | kursathalat/label_ds | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-12-18T14:49:50+00:00 | {"size_categories": "n<1K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2023-12-18T14:49:53+00:00 | [] | [] | TAGS
#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
| Dataset Card for label\_ds
==========================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
-------------------... | [
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de2c21f1c6747ac80d3747006e628102ff5e9727 |
# Dataset Card for multilabel_ds
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-da... | kursathalat/multilabel_ds | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-12-18T14:51:12+00:00 | {"size_categories": "n<1K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2023-12-18T14:51:15+00:00 | [] | [] | TAGS
#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
| Dataset Card for multilabel\_ds
===============================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
---------... | [
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible wi... | [
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45c7eb55e8232628f83688c523a68977ae589693 | # Dataset Card for "crema_d_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/crema_d_synth | [
"region:us"
] | 2023-12-18T15:24:59+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"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... | 2024-01-28T06:32:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "crema_d_synth"
More Information needed | [
"# Dataset Card for \"crema_d_synth\"\n\nMore Information needed"
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cedf45916b227a59401ec991e2477e67f4a6f2c1 |
A dataset of parallel translation-based instructions for Sundanese language as a target language. </br>
Materials are taken from randomly selected children stories at https://storyweaver.org.in, under CC-By-SA-4.0 license. </br>
The template IDs are:</br>
(1, 'Tarjamahkeun teks dongeng barudak di handap tina teks bas... | Iftitahu/sundanese_instruct_stories | [
"task_categories:translation",
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:n<1K",
"language:id",
"language:jv",
"language:su",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-12-18T15:27:04+00:00 | {"language": ["id", "jv", "su", "en"], "license": "cc-by-4.0", "size_categories": ["n<1K"], "task_categories": ["translation", "text-generation", "text2text-generation"]} | 2024-01-25T07:10:07+00:00 | [] | [
"id",
"jv",
"su",
"en"
] | TAGS
#task_categories-translation #task_categories-text-generation #task_categories-text2text-generation #size_categories-n<1K #language-Indonesian #language-Javanese #language-Sundanese #language-English #license-cc-by-4.0 #region-us
|
A dataset of parallel translation-based instructions for Sundanese language as a target language. </br>
Materials are taken from randomly selected children stories at URL, under CC-By-SA-4.0 license. </br>
The template IDs are:</br>
(1, 'Tarjamahkeun teks dongeng barudak di handap tina teks basa Inggris kana teks bas... | [] | [
"TAGS\n#task_categories-translation #task_categories-text-generation #task_categories-text2text-generation #size_categories-n<1K #language-Indonesian #language-Javanese #language-Sundanese #language-English #license-cc-by-4.0 #region-us \n"
] | [
78
] | [
"passage: TAGS\n#task_categories-translation #task_categories-text-generation #task_categories-text2text-generation #size_categories-n<1K #language-Indonesian #language-Javanese #language-Sundanese #language-English #license-cc-by-4.0 #region-us \n"
] |
ab6be99fc64fd528f6d93016d245b65a13f8d14e |
Zip back using the following command:
`zip -F 81_cities_v2.0.zip --out single-archive_v2.zip` | MITCriticalData/DATASET_81_cities_v2.0 | [
"license:mit",
"doi:10.57967/hf/1675",
"region:us"
] | 2023-12-18T15:56:48+00:00 | {"license": "mit"} | 2023-12-18T16:41:41+00:00 | [] | [] | TAGS
#license-mit #doi-10.57967/hf/1675 #region-us
|
Zip back using the following command:
'zip -F 81_cities_v2.0.zip --out single-archive_v2.zip' | [] | [
"TAGS\n#license-mit #doi-10.57967/hf/1675 #region-us \n"
] | [
23
] | [
"passage: TAGS\n#license-mit #doi-10.57967/hf/1675 #region-us \n"
] |
6451c74c10aeb5138bd073e0249a26243f4cc8b9 |
### Dataset Description
Legal Contracts Dataset for Training NER Model
This repository contains a specially curated dataset consisting of legal contracts. It is designed for the purpose of training a Named Entity Recognition (NER) model, with the aim to recognize and classify four types of entities in the text:
Cont... | lawinsider/uk_ner_contracts | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"language:uk",
"region:us"
] | 2023-12-18T16:45:20+00:00 | {"language": ["uk"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "UK-NER-contracts"} | 2024-01-17T00:59:21+00:00 | [] | [
"uk"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #language-Ukrainian #region-us
|
### Dataset Description
Legal Contracts Dataset for Training NER Model
This repository contains a specially curated dataset consisting of legal contracts. It is designed for the purpose of training a Named Entity Recognition (NER) model, with the aim to recognize and classify four types of entities in the text:
Cont... | [
"### Dataset Description\n\nLegal Contracts Dataset for Training NER Model\nThis repository contains a specially curated dataset consisting of legal contracts. It is designed for the purpose of training a Named Entity Recognition (NER) model, with the aim to recognize and classify four types of entities in the text... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #language-Ukrainian #region-us \n",
"### Dataset Description\n\nLegal Contracts Dataset for Training NER Model\nThis repository contains a specially curated dataset consisting of legal contracts. It is designed for the purpose of trai... | [
40,
242
] | [
"passage: TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #language-Ukrainian #region-us \n### Dataset Description\n\nLegal Contracts Dataset for Training NER Model\nThis repository contains a specially curated dataset consisting of legal contracts. It is designed for the purpose of t... |
2d883807c8518e1570e5d9440968ed771ef1c985 | # Dataset Card for "quirky_addition_increment3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_addition_increment3 | [
"region:us"
] | 2023-12-18T17:13:49+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": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2023-12-18T17:21:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_addition_increment3"
More Information needed | [
"# Dataset Card for \"quirky_addition_increment3\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_addition_increment3\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_addition_increment3\"\n\nMore Information needed"
] |
872acf7936232b0fda6855be883082223927605e | # Dataset Card for "quirky_addition_increment3_alice_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_addition_increment3_alice_easy | [
"region:us"
] | 2023-12-18T17:21:30+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": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2023-12-18T17:21:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_addition_increment3_alice_easy"
More Information needed | [
"# Dataset Card for \"quirky_addition_increment3_alice_easy\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_addition_increment3_alice_easy\"\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_addition_increment3_alice_easy\"\n\nMore Information needed"
] |
5d4942b864b3c24b4e5b853d1123927f3cf487bd | # Dataset Card for "quirky_addition_increment3_alice_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_addition_increment3_alice_hard | [
"region:us"
] | 2023-12-18T17:21:35+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": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2023-12-18T17:21:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_addition_increment3_alice_hard"
More Information needed | [
"# Dataset Card for \"quirky_addition_increment3_alice_hard\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_addition_increment3_alice_hard\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_addition_increment3_alice_hard\"\n\nMore Information needed"
] |
d091ec26bd114ea84a48424b606025cf89d7f119 | # Dataset Card for "quirky_addition_increment3_alice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_addition_increment3_alice | [
"region:us"
] | 2023-12-18T17:21:41+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": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2023-12-18T17:21:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_addition_increment3_alice"
More Information needed | [
"# Dataset Card for \"quirky_addition_increment3_alice\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_addition_increment3_alice\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_addition_increment3_alice\"\n\nMore Information needed"
] |
885b386c6554a6eca1ee175145aa75a6dd90a679 | # Dataset Card for "quirky_addition_increment3_bob_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_addition_increment3_bob_easy | [
"region:us"
] | 2023-12-18T17:21:49+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": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2023-12-18T17:21:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_addition_increment3_bob_easy"
More Information needed | [
"# Dataset Card for \"quirky_addition_increment3_bob_easy\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_addition_increment3_bob_easy\"\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_addition_increment3_bob_easy\"\n\nMore Information needed"
] |
19f44a6ddb7673882bf91ef7fb653ccb3fcec4e0 | # Dataset Card for "quirky_addition_increment3_bob_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_addition_increment3_bob_hard | [
"region:us"
] | 2023-12-18T17:21:54+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": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2023-12-18T17:21:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_addition_increment3_bob_hard"
More Information needed | [
"# Dataset Card for \"quirky_addition_increment3_bob_hard\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_addition_increment3_bob_hard\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_addition_increment3_bob_hard\"\n\nMore Information needed"
] |
6bd190803f2db83bb1e7cf464a1b0d387e1e1e1d | # Dataset Card for "quirky_addition_increment3_bob"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_addition_increment3_bob | [
"region:us"
] | 2023-12-18T17:22:01+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": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2023-12-18T17:22:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_addition_increment3_bob"
More Information needed | [
"# Dataset Card for \"quirky_addition_increment3_bob\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_addition_increment3_bob\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_addition_increment3_bob\"\n\nMore Information needed"
] |
84825426db8181f8c52d9931b320bd409df1bb30 |
Why always Python?

I get 20,000 TypeScript code from [The Stack](https://huggingface.co/datasets/bigcode/the-stack-smol-xl) and generate {"instruction", "output"} pairs (based on gpt-3.5-turbo)
Using this dataset for finetune... | mhhmm/typescript-instruct-20k | [
"task_categories:text-generation",
"language:en",
"license:cc",
"typescript",
"code-generation",
"instruct-tuning",
"region:us"
] | 2023-12-18T17:34:33+00:00 | {"language": ["en"], "license": "cc", "task_categories": ["text-generation"], "tags": ["typescript", "code-generation", "instruct-tuning"]} | 2023-12-20T13:15:33+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #license-cc #typescript #code-generation #instruct-tuning #region-us
|
Why always Python?
!Flow
I get 20,000 TypeScript code from The Stack and generate {"instruction", "output"} pairs (based on gpt-3.5-turbo)
Using this dataset for finetune code generation model just for TypeScript
Make web developers great again ! | [] | [
"TAGS\n#task_categories-text-generation #language-English #license-cc #typescript #code-generation #instruct-tuning #region-us \n"
] | [
40
] | [
"passage: TAGS\n#task_categories-text-generation #language-English #license-cc #typescript #code-generation #instruct-tuning #region-us \n"
] |
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