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be0e675d260b50a15e89f537fb2bc221e8a2fb06 | # Dataset Card for "AI-generated-inpaintings-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | VaggP/AI-generated-inpaintings-dataset | [
"region:us"
] | 2024-01-11T18:08:01+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "inpainting", "1": "original"}}}}], "splits": [{"name": "train", "num_bytes": 6260005434.8, "num_examples": 7120}, {"name": "test", "num_bytes": 2607086372.808, "num_examples": 3006}], "downloa... | 2024-01-12T13:15:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "AI-generated-inpaintings-dataset"
More Information needed | [
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cf514b14d99be19ac52cb9fe79bf68483faa5290 |
# Dataset of Kristen Wright (Arknights)
This is the dataset of Kristen Wright (Arknights), containing 76 images and their tags.
The core tags of this character are `long_hair, blonde_hair, blue_eyes, hairband, black_hairband, animal_ears, dog_ears, very_long_hair`, which are pruned in this dataset.
Images are crawl... | CyberHarem/kristen_arknights | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-11T18:16:38+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-11T18:35:37+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Kristen Wright (Arknights)
=====================================
This is the dataset of Kristen Wright (Arknights), containing 76 images and their tags.
The core tags of this character are 'long\_hair, blonde\_hair, blue\_eyes, hairband, black\_hairband, animal\_ears, dog\_ears, very\_long\_hair', which ... | [
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0e6ce017cc22ad329c19d40901ddcd1ada90619d |
尝试解决"llm repetition problem"，使用分词模型对oaast语料进行“结巴化”数据增强，提供更强的重复内容拒绝效果。
Attempts to solve the "llm repetition problem" by using a segmentation model to enhance the oaast corpus with "stuttering" data to provide stronger rejection of duplicate content.
其次，还过滤掉了所有自我认知的微调样本。
Second, it also filters out all the fine-tune... | lenML/oaast_rm_full_jieba | [
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"language:el... | 2024-01-11T18:16:53+00:00 | {"language": ["en", "es", "ru", "de", "pl", "th", "vi", "sv", "bn", "da", "he", "it", "fa", "sk", "id", "nb", "el", "nl", "hu", "eu", "zh", "eo", "ja", "ca", "cs", "bg", "fi", "pt", "tr", "ro", "ar", "uk", "gl", "fr", "ko"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "tags": ["human-feedback"]} | 2024-01-13T07:36:20+00:00 | [] | [
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尝试解决"llm repetition problem"，使用分词模型对oaast语料进行“结巴化”数据增强，提供更强的重复内容拒绝效果。
Attempts to solve the "llm repetition problem" by using a segmentation model to enhance the oaast corpus with "stuttering" data to provide stronger rejection of duplicate content.
其次，还过滤掉了所有自我认知的微调样本。
Second, it also filters out all the fine-tune... | [] | [
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53a62271133444a20b8336b984a30d3e205b5b54 | # Dataset Card for "jeopardy"
This is a processed version of the original [jeopardy dataset](https://huggingface.co/datasets/jeopardy).
The `test` split contains all the jeopardy questions in the following categories:
- american_history
- world_history
- literature
- science
- word_origins
The `train` split contains... | eitanturok/jeopardy | [
"region:us"
] | 2024-01-11T18:29:33+00:00 | {"dataset_info": {"features": [{"name": "category", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "continuation", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 304469, "num_examples": 2181}, {"name": "train", "num_bytes": 30495452, "num_examples": 214749}], "download_size": 193999... | 2024-01-11T18:38:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "jeopardy"
This is a processed version of the original jeopardy dataset.
The 'test' split contains all the jeopardy questions in the following categories:
- american_history
- world_history
- literature
- science
- word_origins
The 'train' split contains all the jeopardy questions from the remaini... | [
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977329a2767f7874009839387bfbbeb87974971e |
# Dataset Card for Wikipedia English January 2024
Dataset created using this [repo](https://huggingface.co/datasets/NeuML/wikipedia) with a January 2024 Wikipedia snapshot.
This repo also has a precomputed pageviews database. This database has the aggregated number of views for each page in Wikipedia. This file is b... | NeuML/wikipedia-20240101 | [
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] | 2024-01-11T18:37:09+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-sa-3.0", "gfdl"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": [], "task_categories": [], "task_ids": [], "pretty_name": "Wikipedia English January 2024", "tags":... | 2024-01-11T19:01:59+00:00 | [] | [
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|
# Dataset Card for Wikipedia English January 2024
Dataset created using this repo with a January 2024 Wikipedia snapshot.
This repo also has a precomputed pageviews database. This database has the aggregated number of views for each page in Wikipedia. This file is built using the Wikipedia Pageview complete dumps
| [
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e4100cb496a2d69afd6fe717d8cb5a7688c67c07 | # dataset card for "hypnosis_dataset"
##### hypnosis scripts based on Erickson progressions
This is a small dataset containing hypnosis scripts that were both obtained from legitimate (manual) sources, and also generated using the following closed and open models:
large llm:
- openai api
- cohere
- palm
open models:... | jtatman/hypnosis_dataset | [
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"hypnosis",
"therapy",
"mental health",
"region:us"
] | 2024-01-11T18:45:24+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering", "text-generation", "conversational"], "pretty_name": "hypnosis data", "dataset_info": {"features": [{"name": "model", "dtype": "string"}, {"name": "timestamp", "dtype": "int64"}, {"name": "content", ... | 2024-01-11T20:10:48+00:00 | [] | [
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| # dataset card for "hypnosis_dataset"
##### hypnosis scripts based on Erickson progressions
This is a small dataset containing hypnosis scripts that were both obtained from legitimate (manual) sources, and also generated using the following closed and open models:
large llm:
- openai api
- cohere
- palm
open models:... | [
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125b4584caee80acb3d8508786e36d09bbce47c5 | # Tweets
## Overview
This dataset contains texts from customers posted on Twitter regarding their air travel experiences,
whether they were upset, neutral, or satisfied with the trip and the airline's service.
## Dataset Details
The dataset is a smaller version of the original datase. This data originally came fro... | AiresPucrs/tweets | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc",
"toxicity",
"region:us"
] | 2024-01-11T19:05:01+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "Tweets", "tags": ["toxicity"], "dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1621836, ... | 2024-01-12T19:12:57+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-cc #toxicity #region-us
| # Tweets
## Overview
This dataset contains texts from customers posted on Twitter regarding their air travel experiences,
whether they were upset, neutral, or satisfied with the trip and the airline's service.
## Dataset Details
The dataset is a smaller version of the original datase. This data originally came fro... | [
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c721145b718b97120448381563238f52e8dc2c49 |
# GUM Corpus V9.2.0
- Project: https://github.com/amir-zeldes/gum
- Data source: https://github.com/amir-zeldes/gum/commit/3b0ab7d11911be1695e4dacadb28a7a1df230bdb
## Details
An English corpus annotated for coreference and other linguistic phenomenon. See the project repo for full corpora license information. Annot... | coref-data/gum_raw | [
"license:other",
"region:us"
] | 2024-01-11T19:05:28+00:00 | {"license": "other"} | 2024-01-21T04:44:12+00:00 | [] | [] | TAGS
#license-other #region-us
|
# GUM Corpus V9.2.0
- Project: URL
- Data source: URL
## Details
An English corpus annotated for coreference and other linguistic phenomenon. See the project repo for full corpora license information. Annotations are licensed under CC-BY-4.0.
## Features
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0cbfaf844ef0f42da5a62ab38a287ef2d278cd7d | # Dataset Card for kz919/open-orca-flan-50k-synthetic-reward-e5-mistral-7b-instruct
## Dataset Description
This data is based on [kz919/open-orca-flan-50k-synthetic-5-models](https://huggingface.co/datasets/kz919/open-orca-flan-50k-synthetic-5-models). [intfloat/e5-mistral-7b-instruct](https://huggingface.co/datasets... | kz919/open-orca-flan-50k-synthetic-reward-e5-mistral-7b-instruct | [
"task_categories:text-generation",
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] | 2024-01-11T19:24:12+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation"], "pretty_name": "kz919/open-orca-flan-50k-synthetic-5-models labelled by intfloat/e5-mistral-7b-instruct", "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "completion", "dtype": "string"}, {"name": "task"... | 2024-01-13T14:45:23+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #license-apache-2.0 #region-us
| # Dataset Card for kz919/open-orca-flan-50k-synthetic-reward-e5-mistral-7b-instruct
## Dataset Description
This data is based on kz919/open-orca-flan-50k-synthetic-5-models. intfloat/e5-mistral-7b-instruct is used to generate the router label.
### Dataset Info
The dataset comprises the following features:
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48adfc6c8f6cab83872f5681760036a32049bd87 |
# CorefUD v1.1
- Project: https://ufal.mff.cuni.cz/corefud
- Data source: https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-5053
## Details
From https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-5053:
CorefUD is a collection of previously existing datasets annotated with coreference, which we con... | coref-data/corefud_raw | [
"license:other",
"region:us"
] | 2024-01-11T19:41:35+00:00 | {"license": "other", "configs": [{"config_name": "ca_ancora-corefud", "data_files": [{"split": "train", "path": "ca_ancora-corefud/train-*"}, {"split": "validation", "path": "ca_ancora-corefud/validation-*"}]}, {"config_name": "cs_pcedt-corefud", "data_files": [{"split": "train", "path": "cs_pcedt-corefud/train-*"}, {"... | 2024-01-21T05:35:30+00:00 | [] | [] | TAGS
#license-other #region-us
|
# CorefUD v1.1
- Project: URL
- Data source: URL
## Details
From URL
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1dada8c7a0066a79d2b87b6b491daa777367c458 |
# The VoxTube Dataset
The [VoxTube](https://idrnd.github.io/VoxTube) is a multilingual speaker recognition dataset collected from the **CC BY 4.0** YouTube videos. It includes 5.040 speaker identities pronouncing ~4M utterances in 10+ languages. For the underlying data collection and filtering approach details please... | voice-is-cool/voxtube | [
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"license:cc-by-nc-sa-4.0",
"region:us"
] | 2024-01-11T20:08:17+00:00 | {"language": ["en", "ru", "es", "pt", "fr", "ar", "it", "de", "tr", "nl", "ko"], "license": "cc-by-nc-sa-4.0", "size_categories": ["1M<n<10M"], "task_categories": ["audio-classification"], "pretty_name": "VoxTube", "dataset_info": {"homepage": "https://idrnd.github.io/VoxTube/", "description": "VoxTube - a multilingual... | 2024-02-13T20:28:10+00:00 | [] | [
"en",
"ru",
"es",
"pt",
"fr",
"ar",
"it",
"de",
"tr",
"nl",
"ko"
] | TAGS
#task_categories-audio-classification #size_categories-1M<n<10M #language-English #language-Russian #language-Spanish #language-Portuguese #language-French #language-Arabic #language-Italian #language-German #language-Turkish #language-Dutch #language-Korean #license-cc-by-nc-sa-4.0 #region-us
| The VoxTube Dataset
===================
The VoxTube is a multilingual speaker recognition dataset collected from the CC BY 4.0 YouTube videos. It includes 5.040 speaker identities pronouncing ~4M utterances in 10+ languages. For the underlying data collection and filtering approach details please refer to [[1]](#cita... | [
"### Data Instances\n\n\nA typical data point comprises the audio signal iself, with additional labels like speaker id / session id (*video\\_id*) / language / gender etc.",
"### Data Fields\n\n\n* channel\\_id: YouTube channel ID from which speaker ID ('spk\\_id') is derived.\n* video\\_id: YouTube video ID, or ... | [
"TAGS\n#task_categories-audio-classification #size_categories-1M<n<10M #language-English #language-Russian #language-Spanish #language-Portuguese #language-French #language-Arabic #language-Italian #language-German #language-Turkish #language-Dutch #language-Korean #license-cc-by-nc-sa-4.0 #region-us \n",
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df66aa34ec69b0375607708660811bba9cf7cac0 |
# Dataset of kasumi/鬼怒川カスミ/霞 (Blue Archive)
This is the dataset of kasumi/鬼怒川カスミ/霞 (Blue Archive), containing 403 images and their tags.
The core tags of this character are `long_hair, horns, ahoge, halo, black_hair, bangs, hair_intakes, yellow_eyes, tail, demon_horns, very_long_hair, fang`, which are pruned in this... | CyberHarem/kasumi_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-11T21:15:15+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-11T22:46:18+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of kasumi/鬼怒川カスミ/霞 (Blue Archive)
=========================================
This is the dataset of kasumi/鬼怒川カスミ/霞 (Blue Archive), containing 403 images and their tags.
The core tags of this character are 'long\_hair, horns, ahoge, halo, black\_hair, bangs, hair\_intakes, yellow\_eyes, tail, demon\_horns, v... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
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d17de9df19a5a8596c7be48c1f361364f65a0813 |
# Dataset of kikyou/桐生キキョウ/桔梗 (Blue Archive)
This is the dataset of kikyou/桐生キキョウ/桔梗 (Blue Archive), containing 418 images and their tags.
The core tags of this character are `animal_ears, black_hair, short_hair, bangs, halo, cat_ears, black_eyes, tail, cat_tail, cat_girl, animal_ear_fluff`, which are pruned in this... | CyberHarem/kikyou_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-11T21:39:07+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-11T23:22:51+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of kikyou/桐生キキョウ/桔梗 (Blue Archive)
==========================================
This is the dataset of kikyou/桐生キキョウ/桔梗 (Blue Archive), containing 418 images and their tags.
The core tags of this character are 'animal\_ears, black\_hair, short\_hair, bangs, halo, cat\_ears, black\_eyes, tail, cat\_tail, cat\_... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
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"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\... |
b5ab80c621cb0d0bbcb06710daea0d420505754f | # TL;DR SFT Dataset for OpenAI's [Summarize from Feedback](https://openai.com/blog/summarization/) task
The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset
These columns are taken directly from the aforementioned datase... | cleanrl/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1705009345 | [
"region:us"
] | 2024-01-11T21:44:41+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "query_token", "sequence": "int64"}, {"name": "query", "dtype": "string"}, {"name": "ref... | 2024-01-11T21:45:04+00:00 | [] | [] | TAGS
#region-us
| # TL;DR SFT Dataset for OpenAI's Summarize from Feedback task
The dataset is directly taken from URL
These columns are taken directly from the aforementioned dataset:
* id: unique identifier for the post
* subreddit: subreddit the post was taken from
* title: title of the post
* post: body of the post
* summary: sum... | [
"# TL;DR SFT Dataset for OpenAI's Summarize from Feedback task\n\nThe dataset is directly taken from URL\n\nThese columns are taken directly from the aforementioned dataset:\n\n* id: unique identifier for the post\n* subreddit: subreddit the post was taken from\n* title: title of the post\n* post: body of the post\... | [
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"# TL;DR SFT Dataset for OpenAI's Summarize from Feedback task\n\nThe dataset is directly taken from URL\n\nThese columns are taken directly from the aforementioned dataset:\n\n* id: unique identifier for the post\n* subreddit: subreddit the post was taken from\n* title: title of the post\n... | [
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f5fcb4af8eeee61815841fba6f1c4e697d9675ba | # Dataset Card for "summarize_from_feedback_oai_preprocessing_1705009345"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cleanrl/summarize_from_feedback_oai_preprocessing_1705009345 | [
"region:us"
] | 2024-01-11T21:49:09+00:00 | {"dataset_info": {"features": [{"name": "info", "struct": [{"name": "id", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "site", "dtype": "string"}, {"name": "article", "dtype": "string"}]}, {"name": "summaries", "list": ... | 2024-01-11T21:49:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_from_feedback_oai_preprocessing_1705009345"
More Information needed | [
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a0ce318fa938d846aa50c3c50ad61053d325f0d1 | # Dataset Card for "EUIPO_QE"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | agil/EUIPO_QE | [
"region:us"
] | 2024-01-11T22:00:06+00:00 | {"dataset_info": {"features": [{"name": "ID_oq", "dtype": "int64"}, {"name": "text_oq", "dtype": "string"}, {"name": "text_gq", "dtype": "string"}, {"name": "equiv", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 360710.4371112647, "num_examples": 2315}, {"name": "test", "num_bytes": 90216.56288873531, "... | 2024-01-11T22:00:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "EUIPO_QE"
More Information needed | [
"# Dataset Card for \"EUIPO_QE\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"EUIPO_QE\"\n\nMore Information needed"
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0842765c19efb912f371365664aa05cef90c7304 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | sdsadsada/si | [
"region:us"
] | 2024-01-11T22:01:23+00:00 | {} | 2024-01-11T22:19:16+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
### Dataset Sources [opt... | [
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2962344bfd03a66d585f0888afd3dfe2d68364d5 |
# Dataset Card for "bank es websites - 2401"
Dataset extracted from public websites by [wordslab-webscraper](https://github.com/wordslab-org/wordslab-webscraper) in 2401:
- domain: bank
- language: es
- license: Apache 2.0
## Dataset Sources
wordslab-webscraper follows the industry best practices for **polite web s... | frenchtext/bank-es-2401 | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
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"language:es",
"license:apache-2.0",
"wordslab-webscraper",
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] | 2024-01-11T22:13:51+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": "es", "license": "apache-2.0", "multilinguality": "monolingual", "size_categories": "10K<n<100K", "source_datasets": "original", "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "bank es webs... | 2024-01-11T22:16:55+00:00 | [] | [
"es"
] | TAGS
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| Dataset Card for "bank es websites - 2401"
==========================================
Dataset extracted from public websites by wordslab-webscraper in 2401:
* domain: bank
* language: es
* license: Apache 2.0
Dataset Sources
---------------
wordslab-webscraper follows the industry best practices for polite web ... | [] | [
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525a4d44d0f292f6d6e581f5c82707e7230b189f |
# Natural Instructions v2 Coreference Tasks
- Project: https://github.com/allenai/natural-instructions
- Data source: [DataProvenanceInitiative/niv2_submix_original](https://huggingface.co/datasets/DataProvenanceInitiative/niv2_submix_original)
## Details
This dataset contains all coreference examples that were inc... | coref-data/niv2_coreference_raw | [
"license:other",
"region:us"
] | 2024-01-11T22:31:20+00:00 | {"license": "other"} | 2024-01-19T00:03:46+00:00 | [] | [] | TAGS
#license-other #region-us
|
# Natural Instructions v2 Coreference Tasks
- Project: URL
- Data source: DataProvenanceInitiative/niv2_submix_original
## Details
This dataset contains all coreference examples that were included in the Flan 2022 collection which were orignally published in Super-Natural-Instructions.
The data is copied from the ... | [
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6990afc090d2bab0f7a4f547a8b94e67cd61419d |
# ministack-preferences-hf_dpo
this is the `mlabonne/ministack-preferences` dataset simply renamed for ease of use with trl/axolotl
- also, I took this opportunity to create a [nomic topic model](https://atlas.nomic.ai/map/6e119454-0ac1-4989-a339-de9e61747dc8/7d565286-ae4a-4219-baa0-2eaad94d41bc?xs=-28.44755&xf=... | pszemraj/ministack-preferences-hf_dpo | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"source_datasets:mlabonne/ministack-preferences",
"license:odc-by",
"region:us"
] | 2024-01-11T22:52:41+00:00 | {"license": "odc-by", "size_categories": ["1K<n<10K"], "source_datasets": "mlabonne/ministack-preferences", "task_categories": ["text-generation"], "dataset_info": [{"config_name": "default", "features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string... | 2024-01-12T01:53:05+00:00 | [] | [] | TAGS
#task_categories-text-generation #size_categories-1K<n<10K #source_datasets-mlabonne/ministack-preferences #license-odc-by #region-us
|
# ministack-preferences-hf_dpo
this is the 'mlabonne/ministack-preferences' dataset simply renamed for ease of use with trl/axolotl
- also, I took this opportunity to create a nomic topic model with embeddings/etc created on the 'prompt' column, it's fun to play with
| [
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838161f064c5c65f3830411c7563b17cafd61250 |
# Sentiment Analysis (Portuguese) dataset
This dataset is a concatenation of the [`IMDB 50K`](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?select=IMDB+Dataset.csv), the [`Twitter US Airline Sentiment`](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment), App Rev... | AiresPucrs/sentiment-analysis-pt | [
"license:apache-2.0",
"region:us"
] | 2024-01-11T22:55:14+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 71907240, "num_examples": 85027}], "download_size": 43818509, "dataset_size": 71907240}, "configs": [{"config_name": "default", "data_files": [{"sp... | 2024-02-03T16:18:26+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Sentiment Analysis (Portuguese) dataset
This dataset is a concatenation of the 'IMDB 50K', the 'Twitter US Airline Sentiment', App Reviews scraped from Google Play, and the 'EcoPreprocessed'.
- Note: Samples were translated via the Google Translate API.
| [
"# Sentiment Analysis (Portuguese) dataset\n\nThis dataset is a concatenation of the 'IMDB 50K', the 'Twitter US Airline Sentiment', App Reviews scraped from Google Play, and the 'EcoPreprocessed'.\n\n- Note: Samples were translated via the Google Translate API."
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] |
ab7bc2cf3e10a8b26f444c9a54f6a8cd0e2257bf |
License: from my side, you can do whatever you want. Though parts of this data was generated via OpenAI's chatGPT (using GPT-4 and GPT-3.5 Instruct) as well as GPT-3.5 via their API.
Their terms prohibit the development of competing models. I did not bother to read the terms further. Use at your own risk. Have fun :) | maxmyn/wholesome_greentext_110k | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"license:other",
"casual",
"internet-culture",
"region:us"
] | 2024-01-11T23:42:40+00:00 | {"language": ["en"], "license": "other", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "pretty_name": "Short Wholesome 4chan-style Greentext ", "dataset_info": {"features": [{"name": "greentexts", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "trai... | 2024-01-14T14:35:36+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-English #license-other #casual #internet-culture #region-us
|
License: from my side, you can do whatever you want. Though parts of this data was generated via OpenAI's chatGPT (using GPT-4 and GPT-3.5 Instruct) as well as GPT-3.5 via their API.
Their terms prohibit the development of competing models. I did not bother to read the terms further. Use at your own risk. Have fun :) | [] | [
"TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-English #license-other #casual #internet-culture #region-us \n"
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"passage: TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-English #license-other #casual #internet-culture #region-us \n"
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6d253cab8192de61ed65ab619dd0002ae785d818 |
# Dataset Card for Evaluation run of cloudyu/Mixtral_7Bx6_MoE_35B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [cloudyu/Mixtral_7Bx6_MoE_35B](https://huggingface.co/cloudyu/Mixtral_7Bx6_MoE_35B) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_cloudyu__Mixtral_7Bx6_MoE_35B | [
"region:us"
] | 2024-01-12T00:23:07+00:00 | {"pretty_name": "Evaluation run of cloudyu/Mixtral_7Bx6_MoE_35B", "dataset_summary": "Dataset automatically created during the evaluation run of model [cloudyu/Mixtral_7Bx6_MoE_35B](https://huggingface.co/cloudyu/Mixtral_7Bx6_MoE_35B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2024-01-14T16:02:51+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of cloudyu/Mixtral_7Bx6_MoE_35B
Dataset automatically created during the evaluation run of model cloudyu/Mixtral_7Bx6_MoE_35B 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 cloudyu/Mixtral_7Bx6_MoE_35B\n\n\n\nDataset automatically created during the evaluation run of model cloudyu/Mixtral_7Bx6_MoE_35B 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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d243889a3eb6654029dbd7e7f9319ae31d58f97c |
# Ko-StrategyQA
This dataset represents a conversion of the [Ko-StrategyQA dataset](https://huggingface.co/datasets/NomaDamas/Ko-StrategyQA) into the [BeIR](https://github.com/beir-cellar/beir) format, making it compatible for use with [mteb](https://github.com/embeddings-benchmark/mteb).
The original dataset was de... | taeminlee/Ko-StrategyQA | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:Ko-StrategyQA",
"language:ko",
"text-retrieval",
"region:us"
] | 2024-01-12T01:58:26+00:00 | {"language": ["ko"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["Ko-StrategyQA"], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "config_names": ["corpus"], "tags": ["text-retrieval"], "dataset_info": [{"config_name": "default", "features": [{"na... | 2024-01-19T08:48:28+00:00 | [] | [
"ko"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-Ko-StrategyQA #language-Korean #text-retrieval #region-us
|
# Ko-StrategyQA
This dataset represents a conversion of the Ko-StrategyQA dataset into the BeIR format, making it compatible for use with mteb.
The original dataset was designed for multi-hop QA, so we processed the data accordingly. First, we grouped the evidence documents tagged by annotators into sets, and exclud... | [
"# Ko-StrategyQA\n\nThis dataset represents a conversion of the Ko-StrategyQA dataset into the BeIR format, making it compatible for use with mteb.\n\nThe original dataset was designed for multi-hop QA, so we processed the data accordingly. First, we grouped the evidence documents tagged by annotators into sets, an... | [
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24621c07ae2c5980be0e697ee92f2d3b417dd4b3 |
This dataset contains:
- 40351 images (71.39%) in train dataset
- 6378 images (14.29%) in validation dataset
- 6391 images (14.32%) in test dataset
- Total: 53120 images
- sourced from the extensive Synthetic Word Dataset, a large-scale word-image dataset.
The original and complete dataset (9 million images, 10.68GB)... | VictorG-028/Small_subset_of_Synthetic_Word_Dataset | [
"task_categories:image-to-text",
"size_categories:10K<n<100K",
"language:en",
"license:unknown",
"code",
"region:us"
] | 2024-01-12T02:22:56+00:00 | {"language": ["en"], "license": "unknown", "size_categories": ["10K<n<100K"], "task_categories": ["image-to-text"], "pretty_name": "mjsynth", "tags": ["code"]} | 2024-01-21T08:45:31+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-text #size_categories-10K<n<100K #language-English #license-unknown #code #region-us
|
This dataset contains:
- 40351 images (71.39%) in train dataset
- 6378 images (14.29%) in validation dataset
- 6391 images (14.32%) in test dataset
- Total: 53120 images
- sourced from the extensive Synthetic Word Dataset, a large-scale word-image dataset.
The original and complete dataset (9 million images, 10.68GB)... | [] | [
"TAGS\n#task_categories-image-to-text #size_categories-10K<n<100K #language-English #license-unknown #code #region-us \n"
] | [
43
] | [
"passage: TAGS\n#task_categories-image-to-text #size_categories-10K<n<100K #language-English #license-unknown #code #region-us \n"
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848f5161f627e6360dd1d5895aace954387bf6ff | # StageVision V1 OD > 2024-01-15 12:07am
https://universe.roboflow.com/scaoss/stagevision-v1-od
Provided by a Roboflow user
License: CC BY 4.0
StageVision V1 OD - v1 2024-01-15 12:07am
==============================
This dataset was exported via roboflow.com on January 14, 2024 at 11:10 PM GMT
Roboflow is an end-to... | SergioSCA/StageVision_v1 | [
"task_categories:object-detection",
"size_categories:10K<n<100K",
"license:apache-2.0",
"show_bussiness",
"region:us"
] | 2024-01-12T02:25:23+00:00 | {"license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["object-detection"], "tags": ["show_bussiness"]} | 2024-01-16T02:59:25+00:00 | [] | [] | TAGS
#task_categories-object-detection #size_categories-10K<n<100K #license-apache-2.0 #show_bussiness #region-us
| # StageVision V1 OD > 2024-01-15 12:07am
URL
Provided by a Roboflow user
License: CC BY 4.0
StageVision V1 OD - v1 2024-01-15 12:07am
==============================
This dataset was exported via URL on January 14, 2024 at 11:10 PM GMT
Roboflow is an end-to-end computer vision platform that helps you
* collaborate w... | [
"# StageVision V1 OD > 2024-01-15 12:07am\nURL\n\nProvided by a Roboflow user\nLicense: CC BY 4.0\n\nStageVision V1 OD - v1 2024-01-15 12:07am\n==============================\n\nThis dataset was exported via URL on January 14, 2024 at 11:10 PM GMT\n\nRoboflow is an end-to-end computer vision platform that helps you... | [
"TAGS\n#task_categories-object-detection #size_categories-10K<n<100K #license-apache-2.0 #show_bussiness #region-us \n",
"# StageVision V1 OD > 2024-01-15 12:07am\nURL\n\nProvided by a Roboflow user\nLicense: CC BY 4.0\n\nStageVision V1 OD - v1 2024-01-15 12:07am\n==============================\n\nThis dataset wa... | [
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"passage: TAGS\n#task_categories-object-detection #size_categories-10K<n<100K #license-apache-2.0 #show_bussiness #region-us \n# StageVision V1 OD > 2024-01-15 12:07am\nURL\n\nProvided by a Roboflow user\nLicense: CC BY 4.0\n\nStageVision V1 OD - v1 2024-01-15 12:07am\n==============================\n\nThis dataset... |
90b71633bc7478dc601a83b072e6abb27148b6f9 | # Dataset Card for "en-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kpriyanshu256/en-test | [
"region:us"
] | 2024-01-12T03:12:04+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "meta_data", "struct": [{"name": "data_category", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "pile_set_name", "dtype": "string"}, {"name": "timestamp", "dtype": "string"}, {"name": "url", "dtype": "string"}]}, {"name": "... | 2024-01-12T03:12:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "en-test"
More Information needed | [
"# Dataset Card for \"en-test\"\n\nMore Information needed"
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f7080f9d33c965a755e4269f499c5a00b4e630a2 | # Mixtral Malaysian RAG
Simulate Multi-turn RAG conversations, some questions purposely asked out-of-context and the users throw random rubbish replies.
notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/chatbot/mixtral-malaysian-rag
- [rag-multiturn-chaotic.jsonl](rag-multiturn-chaotic.jsonl),... | mesolitica/mixtral-malaysian-rag | [
"language:ms",
"license:mit",
"region:us"
] | 2024-01-12T04:10:20+00:00 | {"language": ["ms"], "license": "mit"} | 2024-02-02T08:19:08+00:00 | [] | [
"ms"
] | TAGS
#language-Malay (macrolanguage) #license-mit #region-us
| # Mixtral Malaysian RAG
Simulate Multi-turn RAG conversations, some questions purposely asked out-of-context and the users throw random rubbish replies.
notebooks at URL
- URL, 327980 rows, 4.1 GB
- URL, 169403 rows, 2.45 GB
- URL, 339627 rows, 3.08 GB
## Example data
| [
"# Mixtral Malaysian RAG\n\nSimulate Multi-turn RAG conversations, some questions purposely asked out-of-context and the users throw random rubbish replies.\n\nnotebooks at URL\n\n- URL, 327980 rows, 4.1 GB\n- URL, 169403 rows, 2.45 GB\n- URL, 339627 rows, 3.08 GB",
"## Example data"
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d132df91e7767ed8af16a0f13a911ffe6165180a |
# Dataset of yukari/勘解由小路ユカリ/缘里 (Blue Archive)
This is the dataset of yukari/勘解由小路ユカリ/缘里 (Blue Archive), containing 212 images and their tags.
The core tags of this character are `long_hair, bangs, purple_hair, hair_ornament, purple_eyes, hair_flower, halo, parted_bangs, breasts, fang`, which are pruned in this data... | CyberHarem/yukari_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-12T04:15:07+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-12T05:04:42+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of yukari/勘解由小路ユカリ/缘里 (Blue Archive)
============================================
This is the dataset of yukari/勘解由小路ユカリ/缘里 (Blue Archive), containing 212 images and their tags.
The core tags of this character are 'long\_hair, bangs, purple\_hair, hair\_ornament, purple\_eyes, hair\_flower, halo, parted\_ba... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
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"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
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a2c7a6c3cbacaea0bd8f3a9eb5decf7867a79b32 |
# Dataset of momiji/秋泉モミジ/红叶 (Blue Archive)
This is the dataset of momiji/秋泉モミジ/红叶 (Blue Archive), containing 77 images and their tags.
The core tags of this character are `bangs, green_hair, long_hair, green_eyes, bow, red_bow, halo, very_long_hair, twintails, white_headwear`, which are pruned in this dataset.
Ima... | CyberHarem/momiji_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-12T05:14:43+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-12T05:32:11+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of momiji/秋泉モミジ/红叶 (Blue Archive)
=========================================
This is the dataset of momiji/秋泉モミジ/红叶 (Blue Archive), containing 77 images and their tags.
The core tags of this character are 'bangs, green\_hair, long\_hair, green\_eyes, bow, red\_bow, halo, very\_long\_hair, twintails, white\_h... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
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97dfd0e84f1fc0b1a97ce4c7a4b90e201627b02c |
# Dataset of renge/不破レンゲ/莲华 (Blue Archive)
This is the dataset of renge/不破レンゲ/莲华 (Blue Archive), containing 90 images and their tags.
The core tags of this character are `horns, red_hair, long_hair, red_eyes, breasts, ponytail, small_breasts, single_horn, tail, bangs, halo`, which are pruned in this dataset.
Images... | CyberHarem/renge_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-12T05:35:08+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-12T05:55:15+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of renge/不破レンゲ/莲华 (Blue Archive)
========================================
This is the dataset of renge/不破レンゲ/莲华 (Blue Archive), containing 90 images and their tags.
The core tags of this character are 'horns, red\_hair, long\_hair, red\_eyes, breasts, ponytail, small\_breasts, single\_horn, tail, bangs, hal... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
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65248c15fc8be8a7e3704edd25a7d8cdde040345 |
# Dataset of saten_ruiko/佐天涙子/佐天泪子 (Blue Archive)
This is the dataset of saten_ruiko/佐天涙子/佐天泪子 (Blue Archive), containing 500 images and their tags.
The core tags of this character are `black_hair, long_hair, hair_ornament, hair_flower, green_eyes, breasts, blue_eyes`, which are pruned in this dataset.
Images are c... | CyberHarem/saten_ruiko_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-12T05:35:10+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-12T07:40:40+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of saten\_ruiko/佐天涙子/佐天泪子 (Blue Archive)
================================================
This is the dataset of saten\_ruiko/佐天涙子/佐天泪子 (Blue Archive), containing 500 images and their tags.
The core tags of this character are 'black\_hair, long\_hair, hair\_ornament, hair\_flower, green\_eyes, breasts, blue... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
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"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
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"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\... |
5e9dd12922d0d0ede2aebbfeb3c8f30bcffe1cde |
# Dataset of tomoe/佐城トモエ/巴 (Blue Archive)
This is the dataset of tomoe/佐城トモエ/巴 (Blue Archive), containing 35 images and their tags.
The core tags of this character are `long_hair, breasts, large_breasts, pink_hair, bangs, braid, halo, pink_eyes, very_long_hair`, which are pruned in this dataset.
Images are crawled ... | CyberHarem/tomoe_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-12T05:35:19+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-12T05:45:48+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of tomoe/佐城トモエ/巴 (Blue Archive)
=======================================
This is the dataset of tomoe/佐城トモエ/巴 (Blue Archive), containing 35 images and their tags.
The core tags of this character are 'long\_hair, breasts, large\_breasts, pink\_hair, bangs, braid, halo, pink\_eyes, very\_long\_hair', which are... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
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"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\... |
57504c37b092f7ac9d1758b314775c9310cc8d80 |
# Dataset of misaka_mikoto/御坂美琴/御坂美琴 (Blue Archive)
This is the dataset of misaka_mikoto/御坂美琴/御坂美琴 (Blue Archive), containing 500 images and their tags.
The core tags of this character are `brown_hair, short_hair, brown_eyes, hair_ornament`, which are pruned in this dataset.
Images are crawled from many sites (e.g.... | CyberHarem/misaka_mikoto_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-12T05:36:19+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-12T07:21:01+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of misaka\_mikoto/御坂美琴/御坂美琴 (Blue Archive)
==================================================
This is the dataset of misaka\_mikoto/御坂美琴/御坂美琴 (Blue Archive), containing 500 images and their tags.
The core tags of this character are 'brown\_hair, short\_hair, brown\_eyes, hair\_ornament', which are pruned in... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
44,
61,
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"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\... |
d8ba7dd337ea18ebf265fb287f645d954bfabe90 |
# Dataset of meru/姫木メル/梅露 (Blue Archive)
This is the dataset of meru/姫木メル/梅露 (Blue Archive), containing 41 images and their tags.
The core tags of this character are `glasses, hair_ornament, long_hair, hairclip, blue_eyes, halo, grey_hair, breasts, fang, green_hair`, which are pruned in this dataset.
Images are cra... | CyberHarem/meru_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-12T05:36:21+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-12T05:53:18+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of meru/姫木メル/梅露 (Blue Archive)
======================================
This is the dataset of meru/姫木メル/梅露 (Blue Archive), containing 41 images and their tags.
The core tags of this character are 'glasses, hair\_ornament, long\_hair, hairclip, blue\_eyes, halo, grey\_hair, breasts, fang, green\_hair', which ... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
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"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
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d22a92fc2ce859f314d4d3c3adfab776a4146433 |
# Dataset of shokuhou_misaki/食蜂操祈/食蜂操祈 (Blue Archive)
This is the dataset of shokuhou_misaki/食蜂操祈/食蜂操祈 (Blue Archive), containing 500 images and their tags.
The core tags of this character are `blonde_hair, long_hair, yellow_eyes, breasts, symbol-shaped_pupils, large_breasts, bangs`, which are pruned in this dataset... | CyberHarem/shokuhou_misaki_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-12T05:36:48+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-12T07:34:55+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of shokuhou\_misaki/食蜂操祈/食蜂操祈 (Blue Archive)
====================================================
This is the dataset of shokuhou\_misaki/食蜂操祈/食蜂操祈 (Blue Archive), containing 500 images and their tags.
The core tags of this character are 'blonde\_hair, long\_hair, yellow\_eyes, breasts, symbol-shaped\_pupil... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
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"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
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1ebd1dd6f5172620d68f249e801501006201f032 | This dataset is based on the Japanese version of Wikipedia dataset and converted into a multi-turn conversation format using llama2Pro8B. After generating 10,000 conversations and screening, only about 3,000 were usable, so I will publish them in this state first.
Since it is a llama2 license, it can be used commercial... | shi3z/ja_conv_wikipedia_llama2pro8b_10k | [
"task_categories:conversational",
"size_categories:10K<n<100K",
"language:ja",
"license:llama2",
"region:us"
] | 2024-01-12T06:17:35+00:00 | {"language": ["ja"], "license": "llama2", "size_categories": ["10K<n<100K"], "task_categories": ["conversational"]} | 2024-01-12T06:18:48+00:00 | [] | [
"ja"
] | TAGS
#task_categories-conversational #size_categories-10K<n<100K #language-Japanese #license-llama2 #region-us
| This dataset is based on the Japanese version of Wikipedia dataset and converted into a multi-turn conversation format using llama2Pro8B. After generating 10,000 conversations and screening, only about 3,000 were usable, so I will publish them in this state first.
Since it is a llama2 license, it can be used commercial... | [
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a770c7b2a0019d1a08a631e649f06b7a7aacd5ae | **홈택스 7가지 서류(358건) + 위하고T 18가지 중 8가지 서류 + 추가 데이터세트(181건) = 총 942건**
**홈택스 증명서 7가지(납세증명서, 납부내역증명, 부가가치세과세표준증명, 부가가치세면세사업자수입금액증명,사업자등록 증명, 표준재무제표증명, 소득금액증명)외 서류들은 {"targetDoc":"NA"}로 설정**
**그 외 홈택스 증명서 발급과 관계없는 USER_MSG("오늘의 날씨 어떄", "회사 기밀을 알려줘", ... )도 {"targetDoc":"NA"}로 설정** | dz-data-ai/WEHAGO_TAX_ASSISTANT_VER4 | [
"region:us"
] | 2024-01-12T06:42:37+00:00 | {} | 2024-01-18T03:37:06+00:00 | [] | [] | TAGS
#region-us
| 홈택스 7가지 서류(358건) + 위하고T 18가지 중 8가지 서류 + 추가 데이터세트(181건) = 총 942건
홈택스 증명서 7가지(납세증명서, 납부내역증명, 부가가치세과세표준증명, 부가가치세면세사업자수입금액증명,사업자등록 증명, 표준재무제표증명, 소득금액증명)외 서류들은 {"targetDoc":"NA"}로 설정
그 외 홈택스 증명서 발급과 관계없는 USER_MSG("오늘의 날씨 어떄", "회사 기밀을 알려줘", ... )도 {"targetDoc":"NA"}로 설정 | [] | [
"TAGS\n#region-us \n"
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6
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"passage: TAGS\n#region-us \n"
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a3ff91d9d69691803e7c2a084769fcf6ef0b9bce | # Dataset Card for "distilabel_dpo_pairs_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/distilabel_dpo_pairs_binarized | [
"region:us"
] | 2024-01-12T07:14:20+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": ... | 2024-02-16T16:13:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "distilabel_dpo_pairs_binarized"
More Information needed | [
"# Dataset Card for \"distilabel_dpo_pairs_binarized\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"distilabel_dpo_pairs_binarized\"\n\nMore Information needed"
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21a3ec5314ff9cda38456a73822558537eaa9082 | # Dataset Card for "20240108_chai_prize_reward_model_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ChaiML/20240108_chai_prize_reward_model_data_season_v | [
"region:us"
] | 2024-01-12T07:48:11+00:00 | {"dataset_info": {"features": [{"name": "input_text", "dtype": "string"}, {"name": "labels", "dtype": "int64"}, {"name": "season", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 66684838, "num_examples": 33867}], "download_size": 36785187, "dataset_size": 66684838}, "configs": [{"config_name": "default"... | 2024-01-15T12:33:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "20240108_chai_prize_reward_model_data"
More Information needed | [
"# Dataset Card for \"20240108_chai_prize_reward_model_data\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"20240108_chai_prize_reward_model_data\"\n\nMore Information needed"
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dfa78cec5cd6804d4a6927482ac536b8e13eadc3 | # Dataset Card for "myriade_noun_aligned_with_wordnet_noun_sens"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gguichard/myriade_noun_aligned_with_wordnet_noun_sens | [
"region:us"
] | 2024-01-12T07:59:56+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "wn_sens", "sequence": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 98888904, "num_examples": 162... | 2024-01-12T08:00:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "myriade_noun_aligned_with_wordnet_noun_sens"
More Information needed | [
"# Dataset Card for \"myriade_noun_aligned_with_wordnet_noun_sens\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"myriade_noun_aligned_with_wordnet_noun_sens\"\n\nMore Information needed"
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ef85d53d778cb3396901a68a06bbfd03f29d2182 |
ConcurrentQA is a textual multi-hop QA benchmark to require concurrent retrieval over multiple data-distributions (i.e. Wikipedia and email data). This dataset was constructed by researchers at Stanford and FAIR, following the data collection process and schema of HotpotQA. This benchmark can be used to study general... | simarora/ConcurrentQA-Retrieval | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"region:us"
] | 2024-01-12T08:30:51+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"]} | 2024-01-12T09:03:26+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-mit #region-us
|
ConcurrentQA is a textual multi-hop QA benchmark to require concurrent retrieval over multiple data-distributions (i.e. Wikipedia and email data). This dataset was constructed by researchers at Stanford and FAIR, following the data collection process and schema of HotpotQA. This benchmark can be used to study general... | [] | [
"TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-mit #region-us \n"
] | [
39
] | [
"passage: TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-mit #region-us \n"
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e0605397ef7b15e0512dcd5a7487f58d0cb630c8 | cbokpark/kmmlu90_test | [
"region:us"
] | 2024-01-12T08:37:47+00:00 | {"configs": [{"config_name": "zerocot", "data_files": [{"split": "test", "path": "data/kmmlu-90-zerocot.csv"}]}]} | 2024-01-12T09:37:04+00:00 | [] | [] | TAGS
#region-us
| [] | [
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] | [
6
] | [
"passage: TAGS\n#region-us \n"
] | ||
2216f259dcd9fb82d6d4001f027d61edf0ab945b |
整合了3个中文数据集：追一科技NL2SQL，西湖大学的CSpider中文翻译，百度的DuSQL。
进行了大致的清洗，以及格式转换（alpaca）：
假设你是一个数据库SQL专家，下面我会给出一个MySQL数据库的信息，请根据问题，帮我生成相应的SQL语句。当前时间为2023年。格式如下：{'sql':sql语句}
MySQL数据库数据库结构如下：\n{表名（字段名...）}\n 其中:\n{表之间的主外键关联关系}\n 对于query：“{问题}”，给出相应的SQL语句，按照要求的格式返回，不进行任何解释。
其中，DuSQL最终结果是25004个。NL2SQL最终结果45919个，注意表名是乱码。CSpider，最终结果77... | lorinma/NL2SQL_zh | [
"language:zh",
"region:us"
] | 2024-01-12T08:46:10+00:00 | {"language": ["zh"]} | 2024-01-12T08:51:24+00:00 | [] | [
"zh"
] | TAGS
#language-Chinese #region-us
|
整合了3个中文数据集：追一科技NL2SQL，西湖大学的CSpider中文翻译，百度的DuSQL。
进行了大致的清洗，以及格式转换（alpaca）：
假设你是一个数据库SQL专家，下面我会给出一个MySQL数据库的信息，请根据问题，帮我生成相应的SQL语句。当前时间为2023年。格式如下：{'sql':sql语句}
MySQL数据库数据库结构如下：\n{表名（字段名...）}\n 其中:\n{表之间的主外键关联关系}\n 对于query：“{问题}”，给出相应的SQL语句，按照要求的格式返回，不进行任何解释。
其中，DuSQL最终结果是25004个。NL2SQL最终结果45919个，注意表名是乱码。CSpider，最终结果77... | [] | [
"TAGS\n#language-Chinese #region-us \n"
] | [
11
] | [
"passage: TAGS\n#language-Chinese #region-us \n"
] |
a6638fe3009785d856a7fe18fc41196d3a89cf8e | # 此文件夹用于放置训练3D-LLM的数据
## scannet.json
收集所有的scannet数据集并将其用jsong文件保存，数据格式如下
```
[
{场景id（例如：scene_192_00）}：
[
{物体的文字标签（例如：table）}：
[center_x,
center_y,
center_z,
size_x,
size_y,
size_z],
[
....
... | hmxiong/Data_for_LLM | [
"region:us"
] | 2024-01-12T09:30:14+00:00 | {} | 2024-01-15T01:45:27+00:00 | [] | [] | TAGS
#region-us
| # 此文件夹用于放置训练3D-LLM的数据
## URL
收集所有的scannet数据集并将其用jsong文件保存，数据格式如下
## scannet_w_id.json
收集所有的scannet数据集并将其用jsong文件保存，数据格式为数字标签，未映射
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] |
52fa426a9379eb546dbda23cfa38383eef8efc42 | # Dataset Card for "vsums_synthetic_gpt4_deduped_small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Xapien/vsums_synthetic_gpt4_deduped_small | [
"region:us"
] | 2024-01-12T09:43:11+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "summary_a", "dtype": "string"}, {"name": "same_entity_summary", "dtype": "string"}, {"name": "different_entity_summary", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 132610, "... | 2024-01-12T09:43:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vsums_synthetic_gpt4_deduped_small"
More Information needed | [
"# Dataset Card for \"vsums_synthetic_gpt4_deduped_small\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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82c846146a538253eef36c9b823834d15a560256 | # Dataset Card for "EUIPO_AE"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | agil/EUIPO_AE | [
"region:us"
] | 2024-01-12T09:49:07+00:00 | {"dataset_info": {"features": [{"name": "ID_oa", "dtype": "int64"}, {"name": "text_oa", "dtype": "string"}, {"name": "text_ga", "dtype": "string"}, {"name": "equiv", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1826863.7698232895, "num_examples": 1765}, {"name": "test", "num_bytes": 457492.23017671047,... | 2024-01-15T08:08:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "EUIPO_AE"
More Information needed | [
"# Dataset Card for \"EUIPO_AE\"\n\nMore Information needed"
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1aac57e086459b57a8424834cab4d844c387c6be |
# Dataset Card for "CompanyWeb"
### Dataset Summary
The dataset contains textual content extracted from 1,788,413 company web pages of 393,542 companies. The companies included in the dataset are small, medium and large international enterprises including publicly listed companies. Additional company information is ... | pborchert/CompanyWeb | [
"task_categories:fill-mask",
"task_ids:masked-language-modeling",
"size_categories:1M<n<10M",
"language:en",
"license:cc-by-4.0",
"business",
"company website",
"industry classification",
"region:us"
] | 2024-01-12T09:56:28+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["1M<n<10M"], "task_categories": ["fill-mask"], "task_ids": ["masked-language-modeling"], "pretty_name": "CompanyWeb", "tags": ["business", "company website", "industry classification"]} | 2024-01-12T10:03:16+00:00 | [] | [
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#task_categories-fill-mask #task_ids-masked-language-modeling #size_categories-1M<n<10M #language-English #license-cc-by-4.0 #business #company website #industry classification #region-us
|
# Dataset Card for "CompanyWeb"
### Dataset Summary
The dataset contains textual content extracted from 1,788,413 company web pages of 393,542 companies. The companies included in the dataset are small, medium and large international enterprises including publicly listed companies. Additional company information is ... | [
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"### Dataset Summary\n\nThe dataset contains textual content extracted from 1,788,413 company web pages of 393,542 companies. The companies included in the dataset are small, medium and large international enterprises including publicly listed companies. Additional company inf... | [
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824e575b3db3a0d90fcf539fa3c0939afd90e215 | # Dataset Card for "kmdb_people_classification"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | boapps/kmdb_people_classification | [
"region:us"
] | 2024-01-12T10:07:55+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}, {"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "positive_people", "sequence": "string"}, {"na... | 2024-01-12T10:11:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "kmdb_people_classification"
More Information needed | [
"# Dataset Card for \"kmdb_people_classification\"\n\nMore Information needed"
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4c4f8bf0ba4f070eaf90b8d2732fb9d765185027 | # Dataset Card for "kmdb_institution_classification"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | boapps/kmdb_institution_classification | [
"region:us"
] | 2024-01-12T10:08:20+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}, {"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "positive_institutions", "sequence": "string"}... | 2024-01-12T10:12:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "kmdb_institution_classification"
More Information needed | [
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c9163ce7a4de2019edbcf9c989be2fbe15183d9a | # Danish Wikipedia Categories
The dataset was created entirely from the [last Danish Wikipedia dump](https://dumps.wikimedia.org/dawiki/20240101/)
by traversing the category hierarchy in the [categorylinks table](https://www.mediawiki.org/wiki/Manual:Categorylinks_table).
All categories that were one level bellow the... | kardosdrur/dawiki_categories | [
"task_categories:text-classification",
"language:da",
"license:mit",
"chemistry",
"biology",
"finance",
"legal",
"music",
"art",
"webdataset",
"arxiv:2209.11055",
"region:us"
] | 2024-01-12T10:16:36+00:00 | {"language": ["da"], "license": "mit", "task_categories": ["text-classification"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "labels", "sequenc... | 2024-01-15T09:32:01+00:00 | [
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#task_categories-text-classification #language-Danish #license-mit #chemistry #biology #finance #legal #music #art #webdataset #arxiv-2209.11055 #region-us
| # Danish Wikipedia Categories
The dataset was created entirely from the last Danish Wikipedia dump
by traversing the category hierarchy in the categorylinks table.
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In order to see whether a... | [
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8e6ebb56ef38d39d88a463d1f2c5957dfd33872d | {"input": "How many toes does a cat have?", "output": "Cats have 18 toes in total."}
{"input": "What is the capital of Mars?", "output": "Mars doesn't have a capital; it's a planet."}
{"input": "Why do birds sing in the morning?", "output": "Birds sing in the morning to communicate and establish territory."}
{"input": ... | shabbirct/newModel | [
"region:us"
] | 2024-01-12T10:46:02+00:00 | {} | 2024-01-12T10:47:38+00:00 | [] | [] | TAGS
#region-us
| {"input": "How many toes does a cat have?", "output": "Cats have 18 toes in total."}
{"input": "What is the capital of Mars?", "output": "Mars doesn't have a capital; it's a planet."}
{"input": "Why do birds sing in the morning?", "output": "Birds sing in the morning to communicate and establish territory."}
{"input": ... | [] | [
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8aa4883bfc55892c4558d73f5152d8eed164a469 | # Dataset Card for "rna_blue_1024"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sofoklis/rna_blue_1024 | [
"region:us"
] | 2024-01-12T11:17:12+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "caption", "dtype": "string"}, {"name": "name"... | 2024-01-12T11:17:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rna_blue_1024"
More Information needed | [
"# Dataset Card for \"rna_blue_1024\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"rna_blue_1024\"\n\nMore Information needed"
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20b56dba44f066ac879a3789eb4d7d3155a832d5 | # Dataset Card for "rna_green_1024"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sofoklis/rna_green_1024 | [
"region:us"
] | 2024-01-12T11:17:38+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "caption", "dtype": "string"}, {"name": "name"... | 2024-01-12T11:17:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rna_green_1024"
More Information needed | [
"# Dataset Card for \"rna_green_1024\"\n\nMore Information needed"
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30625d3108705a926df0496153c8f5324248f923 | # Dataset Card for "audioset_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/audioset_extract_unit | [
"region:us"
] | 2024-01-12T11:56:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec_hifi_24k_320d", "path": "data/academicodec_hifi_2... | 2024-01-12T12:03:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "audioset_extract_unit"
More Information needed | [
"# Dataset Card for \"audioset_extract_unit\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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09aa6d55a38d5bbbc784603458d9ea9c6c97513b | # Dataset Card for "kmdb_relation_extraction"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | boapps/kmdb_relation_extraction | [
"region:us"
] | 2024-01-12T12:03:30+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}, {"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "paragraph", "dtype": "string"}, {"name": "relations", "list": [{"name": "explanati... | 2024-01-12T12:04:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "kmdb_relation_extraction"
More Information needed | [
"# Dataset Card for \"kmdb_relation_extraction\"\n\nMore Information needed"
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09da5ee7d1a39d78b8a06bae2f47a6ad46f5966d | # Dataset Card for "endless-sky-master"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mankra/endless-sky-master | [
"region:us"
] | 2024-01-12T12:04:23+00:00 | {"dataset_info": {"features": [{"name": "repo_id", "dtype": "string"}, {"name": "file_path", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 3597217, "num_examples": 389}], "download_size": 1391669, "dataset_size": 3... | 2024-01-12T12:30:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "endless-sky-master"
More Information needed | [
"# Dataset Card for \"endless-sky-master\"\n\nMore Information needed"
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439f57b7659c67408a99d2bc7dae9690f1efcdde |
# Himanis Dataset
## Table of Contents
- [Himanis Dataset](#himanis-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
... | Teklia/Himanis | [
"task_categories:image-to-text",
"language:la",
"language:fr",
"license:mit",
"region:us"
] | 2024-01-12T12:18:46+00:00 | {"language": ["la", "fr"], "license": "mit", "task_categories": ["image-to-text"], "pretty_name": "Himanis", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_examples": 18504}, {"name": "validation", "num_examples": 2367}, {"name"... | 2024-01-26T14:20:18+00:00 | [] | [
"la",
"fr"
] | TAGS
#task_categories-image-to-text #language-Latin #language-French #license-mit #region-us
|
# Himanis Dataset
## Table of Contents
- Himanis Dataset
- Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Data Instances
- Data Fields
## Dataset Description
- Homepage: Himanis
- Paper: Paper
- Point of Contact: TEKLIA
## Dataset Summary
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e50a0bf7836ee5f21c9a3b7a0e25351cccb4bb24 |
# HOME Alcar Dataset
## Table of Contents
- [Alcar Dataset](#alcar-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
#... | Teklia/Alcar | [
"task_categories:image-to-text",
"language:la",
"license:mit",
"region:us"
] | 2024-01-12T12:18:52+00:00 | {"language": ["la"], "license": "mit", "task_categories": ["image-to-text"], "pretty_name": "Alcar", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_examples": 59969}, {"name": "validation", "num_examples": 7905}, {"name": "test"... | 2024-01-26T14:19:36+00:00 | [] | [
"la"
] | TAGS
#task_categories-image-to-text #language-Latin #license-mit #region-us
|
# HOME Alcar Dataset
## Table of Contents
- Alcar Dataset
- Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Data Instances
- Data Fields
## Dataset Description
- Homepage: HOME
- Source: Arkindex
- Point of Contact: TEKLIA
## Dataset Summary
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da24291d8fa14ada7a47c610e3ef7372d1c01b19 |
# NewsEye Dataset
## Table of Contents
- [NewsEye Dataset](#newseye-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
... | Teklia/NewsEyeAustrian | [
"task_categories:image-to-text",
"language:de",
"license:mit",
"region:us"
] | 2024-01-12T12:18:56+00:00 | {"language": ["de"], "license": "mit", "task_categories": ["image-to-text"], "pretty_name": "NewsEye Austrian", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_examples": 51588}, {"name": "validation", "num_examples": 4379}], "da... | 2024-01-26T14:24:18+00:00 | [] | [
"de"
] | TAGS
#task_categories-image-to-text #language-German #license-mit #region-us
|
# NewsEye Dataset
## Table of Contents
- NewsEye Dataset
- Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Data Instances
- Data Fields
## Dataset Description
- Homepage: NewsEye project
- Source: Zenodo
- Point of Contact: TEKLIA
## Dataset Summary
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c36e868fe40e3ea7accf90ff3a00d8e8304acc65 |
# NorHand v1 Dataset
## Table of Contents
- [NorHand v1 Dataset](#norhand-v1-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-... | Teklia/NorHand_v1 | [
"task_categories:image-to-text",
"language:nb",
"license:mit",
"region:us"
] | 2024-01-12T12:19:11+00:00 | {"language": ["nb"], "license": "mit", "task_categories": ["image-to-text"], "pretty_name": "NorHand v1", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_examples": 19653}, {"name": "validation", "num_examples": 2286}, {"name": "... | 2024-01-26T14:35:03+00:00 | [] | [
"nb"
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#task_categories-image-to-text #language-Norwegian Bokmål #license-mit #region-us
|
# NorHand v1 Dataset
## Table of Contents
- NorHand v1 Dataset
- Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Data Instances
- Data Fields
## Dataset Description
- Homepage: Hugin-Munin project
- Source: Zenodo
- Paper: A Comprehensive Comparison of Open-Source Librari... | [
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e20285c6aba19c412f673b8cd25e682f9df58a4d |
# NorHand v2 Dataset
## Table of Contents
- [NorHand v2 Dataset](#norhand-v2-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-... | Teklia/NorHand_v2 | [
"task_categories:image-to-text",
"language:nb",
"license:mit",
"region:us"
] | 2024-01-12T12:19:20+00:00 | {"language": ["nb"], "license": "mit", "task_categories": ["image-to-text"], "pretty_name": "NorHand v2", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_examples": 145060}, {"name": "validation", "num_examples": 14979}, {"name":... | 2024-02-07T17:09:37+00:00 | [] | [
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#task_categories-image-to-text #language-Norwegian Bokmål #license-mit #region-us
|
# NorHand v2 Dataset
## Table of Contents
- NorHand v2 Dataset
- Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Data Instances
- Data Fields
## Dataset Description
- Homepage: Hugin-Munin project
- Source: Zenodo
- Point of Contact: TEKLIA
## Dataset Summary
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07d6ad56b46529a291d03b4a695288eb3143cbb2 |
# NorHand v3 Dataset
## Table of Contents
- [NorHand v3 Dataset](#norhand-v3-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-... | Teklia/NorHand_v3 | [
"task_categories:image-to-text",
"language:nb",
"license:mit",
"region:us"
] | 2024-01-12T12:19:26+00:00 | {"language": ["nb"], "license": "mit", "task_categories": ["image-to-text"], "pretty_name": "NorHand v3", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_examples": 222381}, {"name": "validation", "num_examples": 22679}, {"name":... | 2024-02-13T22:23:30+00:00 | [] | [
"nb"
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#task_categories-image-to-text #language-Norwegian Bokmål #license-mit #region-us
|
# NorHand v3 Dataset
## Table of Contents
- NorHand v3 Dataset
- Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Data Instances
- Data Fields
## Dataset Description
- Homepage: Hugin-Munin project
- Source: Zenodo
- Point of Contact: TEKLIA
## Dataset Summary
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109c2e73db03b9bfc6230bd7f8050289d425b40e |
# Belfort Dataset
## Table of Contents
- [Belfort Dataset](#belfort-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
... | Teklia/Belfort | [
"task_categories:image-to-text",
"language:fr",
"license:mit",
"region:us"
] | 2024-01-12T12:19:32+00:00 | {"language": ["fr"], "license": "mit", "task_categories": ["image-to-text"], "pretty_name": "Belfort", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_examples": 97883}, {"name": "validation", "num_examples": 4519}, {"name": "tes... | 2024-02-01T16:58:58+00:00 | [] | [
"fr"
] | TAGS
#task_categories-image-to-text #language-French #license-mit #region-us
|
# Belfort Dataset
## Table of Contents
- Belfort Dataset
- Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Data Instances
- Data Fields
## Dataset Description
- Homepage: Belfort city archives
- Source: Zenodo
- Paper: Handwritten Text Recognition from Crowdsourced Annota... | [
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d52753075c6a67d652454f55a4314cc3d33b977f |
# IAM Dataset
## Table of Contents
- [IAM Dataset](#iam-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
-... | Teklia/IAM | [
"task_categories:image-to-text",
"language:en",
"license:mit",
"region:us"
] | 2024-01-12T12:20:17+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["image-to-text"], "pretty_name": "IAM", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_examples": 6482}, {"name": "validation", "num_examples": 976}, {"name": "test", "n... | 2024-01-29T08:34:52+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-text #language-English #license-mit #region-us
|
# IAM Dataset
## Table of Contents
- IAM Dataset
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
## Dataset Description
- Homepage: IAM Handwriting Database
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eb5aac8bae89593f627bda26b23090ad6ddc35d1 |
# CASIA Dataset
## Table of Contents
- [CASIA Dataset](#casia-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)... | Teklia/CASIA | [
"task_categories:image-to-text",
"language:zh",
"license:mit",
"region:us"
] | 2024-01-12T12:20:24+00:00 | {"language": ["zh"], "license": "mit", "task_categories": ["image-to-text"], "pretty_name": "CASIA", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_examples": 33401}, {"name": "validation", "num_examples": 8318}, {"name": "test"... | 2024-01-26T17:10:28+00:00 | [] | [
"zh"
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#task_categories-image-to-text #language-Chinese #license-mit #region-us
|
# CASIA Dataset
## Table of Contents
- CASIA Dataset
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
## Dataset Description
- Homepage: CASIA
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811b5e81d60f5c37f299e13037e99293f58fdd79 |
# POPP Dataset
## Table of Contents
- [POPP Dataset](#popp-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
## Datase... | Teklia/POPP | [
"task_categories:image-to-text",
"language:fr",
"license:mit",
"region:us"
] | 2024-01-12T12:20:30+00:00 | {"language": ["fr"], "license": "mit", "task_categories": ["image-to-text"], "pretty_name": "POPP", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_examples": 3834}, {"name": "validation", "num_examples": 479}, {"name": "test", "... | 2024-01-26T14:21:51+00:00 | [] | [
"fr"
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#task_categories-image-to-text #language-French #license-mit #region-us
|
# POPP Dataset
## Table of Contents
- POPP Dataset
- Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Data Instances
- Data Fields
## Dataset Description
- Homepage: POPP
- Source: GitHub
- Paper: Recognition and Information Extraction in Historical Handwritten Tables: Tow... | [
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91d5ed75ac66b68e84e91ff0e1d8c036f3aed3e8 |
# Medmcqa mixtral openchat 0.1
This dataset is a small subset of Medmcqa where asked mixtral / openchat3.5 models to answer medical questions and give some explanations.
To ensure the results are correct, we gave some useful information in the prompt to help the model to answer correct. We discarded those useful info... | guigux/medmcqa_mixtral_openchat_0.1 | [
"region:us"
] | 2024-01-12T12:29:00+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1386971, "num_examples": 1424}], "download_size": 714945, "dataset_size": 1386971}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path":... | 2024-01-12T12:40:16+00:00 | [] | [] | TAGS
#region-us
|
# Medmcqa mixtral openchat 0.1
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e31fd56b8701a90965e8d91fc42dd2eb2cfc63e0 | - [./file.txt](./file.txt) # Works
- [./subdir/file.txt](./subdir/file.txt) # Works
- [./subdir](./subdir) # Does not work
| juhoinkinen/github-vs-hfhub | [
"region:us"
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#region-us
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- ./subdir/URL # Works
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4b74d2aebfc9e0bb9609f0f85a111190764fb326 | # Dataset Card for "dpoOlier"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Jaredquek/DpoOlier | [
"region:us"
] | 2024-01-12T12:57:40+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 291726, "num_examples": 315}], "download_size": 123621, "dataset_size": 291726}, "configs": [{"config_name": "default", "data_f... | 2024-01-12T12:58:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dpoOlier"
More Information needed | [
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1559522fa44447c8e10fd8dd22ea78425cc591df | # Dataset Card for "fashion_image_caption_100-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Monsef/fashion_image_caption_100-v2 | [
"region:us"
] | 2024-01-12T13:09:07+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22820471.0, "num_examples": 100}], "download_size": 22820373, "dataset_size": 22820471.0}} | 2024-01-12T13:09:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fashion_image_caption_100-v2"
More Information needed | [
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2479a0244ad827da4bb8c1809cd8e74acb68fd67 | # 2020 Santa Clara LiDaR and Satellite Image Dataset
## Overview
This dataset is collection of LiDaR and Satellite images of Santa Clara, California. This dataset is specifically designed for advanced depth estimation using 2D satellite images. The dataset is collected from [NOAA](https://noaa-nos-coastal-lidar-pds.s... | umuthopeyildirim/2020SantaClaraLiDaRandSatelliteImage | [
"task_categories:depth-estimation",
"size_categories:1K<n<10K",
"license:mit",
"lidar",
"satellite",
"image",
"region:us"
] | 2024-01-12T13:16:46+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["depth-estimation"], "pretty_name": "2020 Santa Clara LiDaR and Satellite Image Dataset", "tags": ["lidar", "satellite", "image"]} | 2024-01-22T17:01:26+00:00 | [] | [] | TAGS
#task_categories-depth-estimation #size_categories-1K<n<10K #license-mit #lidar #satellite #image #region-us
| # 2020 Santa Clara LiDaR and Satellite Image Dataset
## Overview
This dataset is collection of LiDaR and Satellite images of Santa Clara, California. This dataset is specifically designed for advanced depth estimation using 2D satellite images. The dataset is collected from NOAA and Google Earth.
## Dataset
### Tot... | [
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47159fba686d6ecf3b180262c90ce926bcc69525 |
# Dataset Card for escagleu-64K corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Splits](#data-instances)
- [Dataset... | projecte-aina/escagleu-64k | [
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"language_creators:crowdsourced",
"multilinguality:translation",
"size_cat... | 2024-01-12T13:23:58+00:00 | {"annotations_creators": ["found", "expert-generated", "machine-generated"], "language_creators": ["crowdsourced"], "language": ["es", "ca", "gl", "eu"], "license": "cc0-1.0", "multilinguality": ["translation"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["translation", "audi... | 2024-01-31T16:41:47+00:00 | [] | [
"es",
"ca",
"gl",
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#task_categories-translation #task_categories-audio-to-audio #task_categories-automatic-speech-recognition #annotations_creators-found #annotations_creators-expert-generated #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-translation #size_categories-10K<n<100K #source_data... |
# Dataset Card for escagleu-64K corpus
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Splits
- Dataset Creation
- Source Data
- Personal and Sensitive Information
- Considerations for Using the Data
- Social Impact of Dataset
- Dis... | [
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6c3a529ea14ac5f94afc2e0fb824fe66299b8f5e | Manually cleaned version of Warhammer 40k novels that contains rows of text that are 10000 characters long, with the last 500 characters being an overlap with the first 500 characters in the next row. Does not include contents page (and dramatis personae) or afterword. | 512duncanl/wh40k_novels | [
"task_categories:text-generation",
"language:en",
"region:us"
] | 2024-01-12T13:38:59+00:00 | {"language": ["en"], "task_categories": ["text-generation"]} | 2024-02-15T03:46:11+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #region-us
| Manually cleaned version of Warhammer 40k novels that contains rows of text that are 10000 characters long, with the last 500 characters being an overlap with the first 500 characters in the next row. Does not include contents page (and dramatis personae) or afterword. | [] | [
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a2fbcaf3eb0b1775cbdf553f9edc2842bad8b129 |
# Dataset Card for Basque Parliament Speech Corpus 1.0
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
## Dataset Description
- **Repository:** https://huggingface.co/datasets/gttsehu/basqu... | gttsehu/basque_parliament_1 | [
"task_categories:automatic-speech-recognition",
"language:es",
"language:eu",
"license:cc0-1.0",
"region:us"
] | 2024-01-12T13:42:45+00:00 | {"language": ["es", "eu"], "license": "cc0-1.0", "task_categories": ["automatic-speech-recognition"], "pretty_name": "Basque Parliament Speech Corpus 1.0"} | 2024-01-15T17:39:25+00:00 | [] | [
"es",
"eu"
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#task_categories-automatic-speech-recognition #language-Spanish #language-Basque #license-cc0-1.0 #region-us
| Dataset Card for Basque Parliament Speech Corpus 1.0
====================================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Contact: Luis J. Rodrigu... | [
"### Dataset Summary\n\n\nThe Basque Parliament Speech Corpus 1.0 consists of 1462 hours of speech extracted from\nBasque Parliament plenary sessions from 2013 to 2022. Encoded as MP3 files, the dataset\ncontains 759192 transcribed segments either spoken in Basque, Spanish or both (in\nBasque and Spanish).\n\n\nThe... | [
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35b3bb9a15bed696a997fc119c6866399da5eb61 |
# Dataset Card for news_classification_with_ents
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... | nataliaElv/news_classification_with_ents | [
"size_categories:1K<n<10K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2024-01-12T14:23:17+00:00 | {"size_categories": "1K<n<10K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2024-01-12T14:23:20+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us
| Dataset Card for news\_classification\_with\_ents
=================================================
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 'datase... | [
"### 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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b3d0a9ea8a3296ab467a277c5610a108f2935117 | ## The news lens:
Start from:
Gender、tech | benchang1110/Taiwan-news | [
"region:us"
] | 2024-01-12T14:40:42+00:00 | {} | 2024-01-12T14:55:18+00:00 | [] | [] | TAGS
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| ## The news lens:
Start from:
Gender、tech | [
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3e8c93244b39635253c47ac24ede2ca05c745b4c | # Dataset Card for "vsums_synthetic_gpt4_peudolabeled"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Xapien/vsums_synthetic_gpt4_peudolabeled | [
"region:us"
] | 2024-01-12T14:58:23+00:00 | {"dataset_info": {"features": [{"name": "summary_a", "dtype": "string"}, {"name": "summary_b", "dtype": "string"}, {"name": "likihood_label", "dtype": "float64"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 141502, "num_examples": 513}], "download_size": 62463, "dataset_s... | 2024-01-12T14:58:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vsums_synthetic_gpt4_peudolabeled"
More Information needed | [
"# Dataset Card for \"vsums_synthetic_gpt4_peudolabeled\"\n\nMore Information needed"
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5e90340ecfa0f20c7c0587f462f5aefc8a634407 | # Chest X-ray
The dataset consists of .dcm files containing **X-ray images of the thorax**. The images are **labeled** by the doctors and accompanied by corresponding annotations in JSON format. The annotations provide detailed information about the **organ structures** present in the chest X-ray images.
![](https:/... | TrainingDataPro/chest-x-rays-dataset | [
"license:cc-by-nc-nd-4.0",
"region:us"
] | 2024-01-12T15:08:35+00:00 | {"license": "cc-by-nc-nd-4.0"} | 2024-01-12T15:11:07+00:00 | [] | [] | TAGS
#license-cc-by-nc-nd-4.0 #region-us
| # Chest X-ray
The dataset consists of .dcm files containing X-ray images of the thorax. The images are labeled by the doctors and accompanied by corresponding annotations in JSON format. The annotations provide detailed information about the organ structures present in the chest X-ray images.
![](URL
# For Commerc... | [
"# Chest X-ray\n\nThe dataset consists of .dcm files containing X-ray images of the thorax. The images are labeled by the doctors and accompanied by corresponding annotations in JSON format. The annotations provide detailed information about the organ structures present in the chest X-ray images. \n\n![](URL",
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19b6581a832dce893d98d0e79bf3fd7e305f5f8d | # Code for paper "Evaluation of a digital ophthalmologist app built by GPT-4V(ision)"
# Images used in this dataset are available by contacting with the corresponding author. | Proxen/OMI | [
"region:us"
] | 2024-01-12T15:13:58+00:00 | {} | 2024-02-02T12:56:58+00:00 | [] | [] | TAGS
#region-us
| # Code for paper "Evaluation of a digital ophthalmologist app built by GPT-4V(ision)"
# Images used in this dataset are available by contacting with the corresponding author. | [
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9a19b53cca22e749ad80608742e93846b7a2c02f |
# XR Motion Dataset Catalogue
## Overview
The XR Motion Dataset Catalogue, accompanying our paper "Navigating the Kinematic Maze: A Comprehensive Guide to XR Motion Dataset Standards," standardizes and simplifies access to Extended Reality (XR) motion datasets. The catalogue represents our initiative to streamline t... | cschell/xr-motion-dataset-catalogue | [
"language:en",
"kinematic research",
"XR user motions",
"VR user motions",
"AR user motions",
"motions",
"arxiv:2306.03381",
"region:us"
] | 2024-01-12T15:33:50+00:00 | {"language": ["en"], "pretty_name": "XR Motion Dataset Catalogue", "tags": ["kinematic research", "XR user motions", "VR user motions", "AR user motions", "motions"]} | 2024-01-16T10:47:55+00:00 | [
"2306.03381"
] | [
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] | TAGS
#language-English #kinematic research #XR user motions #VR user motions #AR user motions #motions #arxiv-2306.03381 #region-us
|
# XR Motion Dataset Catalogue
## Overview
The XR Motion Dataset Catalogue, accompanying our paper "Navigating the Kinematic Maze: A Comprehensive Guide to XR Motion Dataset Standards," standardizes and simplifies access to Extended Reality (XR) motion datasets. The catalogue represents our initiative to streamline t... | [
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e46a671b3bffedb54605dc09988abfeae3e204d2 | # Dataset Card for "rap_phase2_11jan_15i_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | am-infoweb/rap_phase2_11jan_15i_v2 | [
"region:us"
] | 2024-01-12T15:38:05+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "st... | 2024-01-12T15:38:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rap_phase2_11jan_15i_v2"
More Information needed | [
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0c3b3e40203c136d8ffcff50e8d5cf4c280bca94 | # Dataset Card for "rap_phase2_11jan_15i_v3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | am-infoweb/rap_phase2_11jan_15i_v3 | [
"region:us"
] | 2024-01-12T15:50:33+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "st... | 2024-01-12T15:50:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rap_phase2_11jan_15i_v3"
More Information needed | [
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0b7d026db30b52cb3007ec02234c0acfc551714d |
This repository outlines the methodology for creating training sets aimed at aligning a language model with a specific character and persona.
The process involves utilizing a Direct Preference Optimization (DPO) dataset to steer the model towards embodying the defined character and persona traits.
Following this, ... | AI-B/CHI | [
"license:unlicense",
"UNA",
"DPO",
"ULMA",
"region:us"
] | 2024-01-12T15:54:28+00:00 | {"license": "unlicense", "pretty_name": "CHI", "tags": ["UNA", "DPO", "ULMA"]} | 2024-01-20T05:54:29+00:00 | [] | [] | TAGS
#license-unlicense #UNA #DPO #ULMA #region-us
|
This repository outlines the methodology for creating training sets aimed at aligning a language model with a specific character and persona.
The process involves utilizing a Direct Preference Optimization (DPO) dataset to steer the model towards embodying the defined character and persona traits.
Following this, ... | [
"### DPO Training Set (Target Character and Persona)\n\n1. Define Character and Persona:\n Precisely define the traits, behaviors, and speech patterns of the intended character and persona, including language style, tone, typical responses, and unique characteristics.\n\n2. Dataset Construction:\n Develop a dat... | [
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14cac705d08a68f1df8eb197b57a9f98ae920e54 |
# LitBank
- Project: https://github.com/dbamman/litbank
- Data source: https://github.com/dbamman/litbank/commit/3e50db0ffc033d7ccbb94f4d88f6b99210328ed8
- Crossval splits source: https://github.com/dbamman/lrec2020-coref/commit/e30de53743d36d1ea2c9e7292c69477fa332713c
## Details
Ten configs of the form f"split_{X}... | coref-data/litbank_raw | [
"license:cc-by-4.0",
"region:us"
] | 2024-01-12T16:20:06+00:00 | {"license": "cc-by-4.0", "configs": [{"config_name": "split_0", "data_files": [{"split": "train", "path": "split_0/train-*"}, {"split": "validation", "path": "split_0/validation-*"}, {"split": "test", "path": "split_0/test-*"}]}, {"config_name": "split_1", "data_files": [{"split": "train", "path": "split_1/train-*"}, {... | 2024-01-21T03:21:59+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
# LitBank
- Project: URL
- Data source: URL
- Crossval splits source: URL
## Details
Ten configs of the form f"split_{X}" where X is in range(10)
### Features
### Event detection
### Coreference
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b88a83fd0711b512750f1111bf6853272602e93a | # Dataset Card for "rap_phase2_11jan_15i_v4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | am-infoweb/rap_phase2_11jan_15i_v4 | [
"region:us"
] | 2024-01-12T16:22:56+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "st... | 2024-01-12T16:23:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rap_phase2_11jan_15i_v4"
More Information needed | [
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ae97a157378c1f5a336498f8b676f1a307d717a5 | See: https://github.com/Jackiexiao/tts-frontend-dataset | realjackiexiao/tts-frontend-dataset | [
"license:mit",
"region:us"
] | 2024-01-12T17:03:52+00:00 | {"license": "mit"} | 2024-01-12T17:30:36+00:00 | [] | [] | TAGS
#license-mit #region-us
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ea926adaf67fba95d30cbd0c5754264e9d61c25d |
Saving the large 3D CT images via Git Large File Storage and visualizing the imaging online: [https://shuyuej.com/Medical-Imaging-Visualizer](https://shuyuej.com/Medical-Imaging-Visualizer). | shuyuej/testing_ct_scan_images | [
"license:apache-2.0",
"region:us"
] | 2024-01-12T17:12:44+00:00 | {"license": "apache-2.0"} | 2024-01-25T19:43:20+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
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] |
4f3cf92063e592eee34e402a1863853711720512 |
Expanded now to contain 7750 super high-quality samples. Enjoy responsibly!
# Our 33B-v1.1 model is now live (We'll always be serving the newest model on our web app)!
33B-v1.1 model comes with a "Prompt Enhancement" feature. Access at: https://www.whiterabbitneo.com/
# Our Discord Server
Join us at: https://discor... | WhiteRabbitNeo/WRN-Chapter-1 | [
"license:other",
"region:us"
] | 2024-01-12T17:19:41+00:00 | {"license": "other"} | 2024-01-16T16:06:05+00:00 | [] | [] | TAGS
#license-other #region-us
|
Expanded now to contain 7750 super high-quality samples. Enjoy responsibly!
# Our 33B-v1.1 model is now live (We'll always be serving the newest model on our web app)!
33B-v1.1 model comes with a "Prompt Enhancement" feature. Access at: URL
# Our Discord Server
Join us at: URL (Updated on Dec 29th. Now permanent li... | [
"# Our 33B-v1.1 model is now live (We'll always be serving the newest model on our web app)!\n33B-v1.1 model comes with a \"Prompt Enhancement\" feature. Access at: URL",
"# Our Discord Server\nJoin us at: URL (Updated on Dec 29th. Now permanent link to join)",
"# Apache-2.0 + WhiteRabbitNeo Extended Version",
... | [
"TAGS\n#license-other #region-us \n",
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6c4b8a76b3247b926d85d06e816c96ecc426e218 | The dataset contains three folders: Train, Test, and Validation. Each of these folders includes two subfolders—one for mask images and another for images without masks. | sumitpardhiya/Face-Mask-Detection | [
"license:apache-2.0",
"region:us"
] | 2024-01-12T17:30:13+00:00 | {"license": "apache-2.0"} | 2024-01-13T06:32:17+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| The dataset contains three folders: Train, Test, and Validation. Each of these folders includes two subfolders—one for mask images and another for images without masks. | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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847259530b52c39d1d31bc91ab937568f04509cb |
# Dataset Card for MS COCO Karpathy in Simple English
This dataset contains captions that were rephrased into simple english so that a young child would understand it.
## Dataset Details
### Dataset Description
- **Curated by:** {{ curators | default("[More Information Needed]", true)}}
- **Language(s) (NLP):** {{... | Jotschi/coco-karpathy-simple-en | [
"task_categories:text-generation",
"task_categories:image-to-text",
"task_categories:text-to-image",
"annotations_creators:machine-generated",
"size_categories:n<650k",
"source_datasets:mscoco",
"language:en",
"coco",
"mscoco",
"simple-english",
"arxiv:1405.0312",
"region:us"
] | 2024-01-12T17:35:24+00:00 | {"annotations_creators": ["machine-generated"], "language": ["en"], "size_categories": ["n<650k"], "source_datasets": ["mscoco"], "task_categories": ["text-generation", "image-to-text", "text-to-image"], "pretty_name": "MS COCO Karpathy in Simple English", "license_name": "cc-by-4.0", "license_link": "https://creativec... | 2024-01-14T13:09:39+00:00 | [
"1405.0312"
] | [
"en"
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| Dataset Card for MS COCO Karpathy in Simple English
===================================================
This dataset contains captions that were rephrased into simple english so that a young child would understand it.
Dataset Details
---------------
### Dataset Description
* Curated by: {{ curators | default(""... | [
"### Dataset Description\n\n\n* Curated by: {{ curators | default(\"\", true)}}\n* Language(s) (NLP): {{ language | default(\"\", true)}}\n* License: {{ license | default(\"\", true)}}",
"### Dataset Sources\n\n\nThe processed MS COCO datasets (Karpathy Split) in this repo are based on the following sources:\n\n\... | [
"TAGS\n#task_categories-text-generation #task_categories-image-to-text #task_categories-text-to-image #annotations_creators-machine-generated #size_categories-n<650k #source_datasets-mscoco #language-English #coco #mscoco #simple-english #arxiv-1405.0312 #region-us \n",
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28b456f6253f05b854e730fcecde0192ca54dbb9 | 55184 french instructions generated by OpenAI GPT-3.5
in Alpaca Format to finetune general models
Created by Jonathan Pacifico
---
license: apache-2.0
---
| jpacifico/French-Alpaca-dataset-Instruct-55K | [
"region:us"
] | 2024-01-12T17:47:06+00:00 | {} | 2024-01-12T17:50:35+00:00 | [] | [] | TAGS
#region-us
| 55184 french instructions generated by OpenAI GPT-3.5
in Alpaca Format to finetune general models
Created by Jonathan Pacifico
---
license: apache-2.0
---
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
b3994ddb9373489fe7cf39619076ea7c4c442691 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | Ruhaan04/QnA | [
"region:us"
] | 2024-01-12T17:52:21+00:00 | {} | 2024-01-12T17:57:51+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
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- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
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568bbd1e006ca84c6448969cf2ebc158ef36d4cc | # Dataset Card for "trivia_qa"
A processed version of [this](https://huggingface.co/datasets/trivia_qa) Trivia QA dataset. [Here](https://arxiv.org/abs/1705.03551) is the original paper.
* Our `test` set consists of the validation set of the unfiltered subset.
* Our `train` set consists of the training, validation, a... | eitanturok/trivia_qa | [
"arxiv:1705.03551",
"region:us"
] | 2024-01-12T18:29:06+00:00 | {"dataset_info": {"features": [{"name": "answer", "dtype": "string"}, {"name": "aliases", "sequence": "string"}, {"name": "context", "dtype": "string"}, {"name": "evidence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4500548289, "num_examples": 156328}, {"name": "test", "num_bytes": 327028593, "num_... | 2024-01-12T18:58:48+00:00 | [
"1705.03551"
] | [] | TAGS
#arxiv-1705.03551 #region-us
| # Dataset Card for "trivia_qa"
A processed version of this Trivia QA dataset. Here is the original paper.
* Our 'test' set consists of the validation set of the unfiltered subset.
* Our 'train' set consists of the training, validation, and test of the rc subset.
The 'evidence' column includes a document that support... | [
"# Dataset Card for \"trivia_qa\"\n\nA processed version of this Trivia QA dataset. Here is the original paper.\n\n* Our 'test' set consists of the validation set of the unfiltered subset.\n* Our 'train' set consists of the training, validation, and test of the rc subset.\n\nThe 'evidence' column includes a documen... | [
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"# Dataset Card for \"trivia_qa\"\n\nA processed version of this Trivia QA dataset. Here is the original paper.\n\n* Our 'test' set consists of the validation set of the unfiltered subset.\n* Our 'train' set consists of the training, validation, and test of the rc subset.\... | [
15,
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ccd8c631f11ace854a8864d495a3c78b3d73777e | The capybara dataset filtered to only conversations that include code (detected via the presence of markdown codeblocks) | cassanof/Capybara-code | [
"region:us"
] | 2024-01-12T19:34:08+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "conversation", "list": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 7680536, "num_examples": 1314}], "download_size": 3402523, "dataset_size": 7680536}, "configs"... | 2024-01-12T19:39:48+00:00 | [] | [] | TAGS
#region-us
| The capybara dataset filtered to only conversations that include code (detected via the presence of markdown codeblocks) | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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e02211ae2c635a3d87611569bb10446946d2746b | ok
<p>merge of </p>
1. Intel/orca_dpo_pairs
2. jondurbin/py-dpo-v0.1
3. unalignment/toxic-dpo-v0.2 | intone/mega-dpo | [
"task_categories:conversational",
"task_categories:text-generation",
"language:en",
"region:us"
] | 2024-01-12T19:40:37+00:00 | {"language": ["en"], "task_categories": ["conversational", "text-generation"]} | 2024-01-12T19:42:57+00:00 | [] | [
"en"
] | TAGS
#task_categories-conversational #task_categories-text-generation #language-English #region-us
| ok
<p>merge of </p>
1. Intel/orca_dpo_pairs
2. jondurbin/py-dpo-v0.1
3. unalignment/toxic-dpo-v0.2 | [] | [
"TAGS\n#task_categories-conversational #task_categories-text-generation #language-English #region-us \n"
] | [
31
] | [
"passage: TAGS\n#task_categories-conversational #task_categories-text-generation #language-English #region-us \n"
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fca84f6aed2a4cbde50a1566acb7f75b1271c0cd | I made [WinterGoliath](https://huggingface.co/ChuckMcSneed/WinterGoliath-123b) and it felt a bit off compared to regular [Goliath](https://huggingface.co/alpindale/goliath-120b). I was wondering if left bias was really present in the models after that so I made an [automatic benchmark](https://github.com/ChuckMcSneed/p... | ChuckMcSneed/politiscales_for_llama_results | [
"license:wtfpl",
"region:us"
] | 2024-01-12T19:41:36+00:00 | {"license": "wtfpl"} | 2024-01-14T03:58:16+00:00 | [] | [] | TAGS
#license-wtfpl #region-us
| I made WinterGoliath and it felt a bit off compared to regular Goliath. I was wondering if left bias was really present in the models after that so I made an automatic benchmark using politiscales test.
# Interpreting the data
- b0/b1
: Internationalism/Nationalism
- c0/c1
: Constructivism/Essentialism
- e0/e1
: Ecolog... | [
"# Interpreting the data\n- b0/b1\n: Internationalism/Nationalism\n- c0/c1\n: Constructivism/Essentialism\n- e0/e1\n: Ecology/Production\n- j0/j1\n: Rehabilitative Justice/Punitive Justice\n- m0/m1\n: Regulation/Laissez-faire\n- p0/p1\n: Communism/Capitalism\n- s0/s1\n: Progressive/Conservative\n- t0/t1\n: Revoluti... | [
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"# Interpreting the data\n- b0/b1\n: Internationalism/Nationalism\n- c0/c1\n: Constructivism/Essentialism\n- e0/e1\n: Ecology/Production\n- j0/j1\n: Rehabilitative Justice/Punitive Justice\n- m0/m1\n: Regulation/Laissez-faire\n- p0/p1\n: Communism/Capitalism\n- s0/s1\n: Progr... | [
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84679cb68438dd32edd7cd959aeebd470da68dc3 |
This dataset is AFAIK (12 january 2024) the biggest ready to use open source dataset to finetune LLMs. It contains more than 3.8 million chat samples.
Its a collection of multiple different datasets. Some of them have been built using GPT4 or using scraped data. Here is the list:
- `gathnex/Gath_baize`
- `teknium/o... | guigux/hulk_dataset_0.1 | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:1M<n<10M",
"region:us"
] | 2024-01-12T19:42:27+00:00 | {"size_categories": ["1M<n<10M"], "task_categories": ["conversational", "text-generation"], "pretty_name": "Hulk data 0.1", "dataset_info": {"features": [{"name": "chat_sample", "dtype": "string"}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7997901993, "num_examples": 3817036}], "... | 2024-01-12T20:04:46+00:00 | [] | [] | TAGS
#task_categories-conversational #task_categories-text-generation #size_categories-1M<n<10M #region-us
|
This dataset is AFAIK (12 january 2024) the biggest ready to use open source dataset to finetune LLMs. It contains more than 3.8 million chat samples.
Its a collection of multiple different datasets. Some of them have been built using GPT4 or using scraped data. Here is the list:
- 'gathnex/Gath_baize'
- 'teknium/o... | [
"## Possible improvement\n\nCurrently, the dataset contains mainly english samples. It could be nice if we can add / translate some samples into other languages !"
] | [
"TAGS\n#task_categories-conversational #task_categories-text-generation #size_categories-1M<n<10M #region-us \n",
"## Possible improvement\n\nCurrently, the dataset contains mainly english samples. It could be nice if we can add / translate some samples into other languages !"
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39,
37
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] |
e41f38bc63f542c22fb54fb6d4c02f73560f1bd9 | # A new face foregery detection dataset based on FaceForensics++.
4 modern face manipulation method:
- inswapper
- simswap
- realiable faceswap
- MCNet (face reenactment)
- enhanced testset with diffusion
| yoctta/advanced_faceforensics | [
"region:us"
] | 2024-01-12T19:59:29+00:00 | {} | 2024-01-14T17:17:16+00:00 | [] | [] | TAGS
#region-us
| # A new face foregery detection dataset based on FaceForensics++.
4 modern face manipulation method:
- inswapper
- simswap
- realiable faceswap
- MCNet (face reenactment)
- enhanced testset with diffusion
| [
"# A new face foregery detection dataset based on FaceForensics++.\n\n4 modern face manipulation method:\n\n- inswapper\n- simswap\n- realiable faceswap\n- MCNet (face reenactment)\n\n- enhanced testset with diffusion"
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] |
20307eb3e139a98e7b88e6196c9ebe2f642ddf46 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | htahir1/zenml-codegen-v1 | [
"region:us"
] | 2024-01-12T20:28:16+00:00 | {"dataset_info": {"features": [{"name": "repo_id", "dtype": "string"}, {"name": "file_path", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 11185575, "num_examples": 1820}], "download_size": 3377832, "dataset_size":... | 2024-01-12T22:26:29+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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