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7f1c06dfea53ada1242918118b9ad209166383bd | # Dataset Card for "bert-pretokenized-2048-wiki-2023"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nomic-ai/nomic-bert-2048-pretraining-data | [
"region:us"
] | 2023-12-24T21:04:21+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "special_tokens_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 38003435808, "num_examples": 2647954}], "download_siz... | 2023-12-24T21:12:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bert-pretokenized-2048-wiki-2023"
More Information needed | [
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7923081c284fc429818f2d80746c9221d690e7a7 | # Dataset Card for "FUI"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | iamkaikai/FUI | [
"region:us"
] | 2023-12-24T21:04:37+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2001590.0, "num_examples": 59}], "download_size": 1944710, "dataset_size": 2001590.0}} | 2023-12-24T21:04:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FUI"
More Information needed | [
"# Dataset Card for \"FUI\"\n\nMore Information needed"
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7ff1cdb43d16c70ae4e9894953bcab9773991520 |
# Dataset Card for Evaluation run of argilla/notus-8x7b-experiment
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [argilla/notus-8x7b-experiment](https://huggingface.co/argilla/notus-8x7b-experiment) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_argilla__notus-8x7b-experiment | [
"region:us"
] | 2023-12-24T21:18:33+00:00 | {"pretty_name": "Evaluation run of argilla/notus-8x7b-experiment", "dataset_summary": "Dataset automatically created during the evaluation run of model [argilla/notus-8x7b-experiment](https://huggingface.co/argilla/notus-8x7b-experiment) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2023-12-24T21:19:04+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of argilla/notus-8x7b-experiment
Dataset automatically created during the evaluation run of model argilla/notus-8x7b-experiment on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been creat... | [
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af218f0f269812551436c1b659ab8089ca20286a |
**Update:**
- 2023/12/25
oasst2-135k-jaをチャット形式に変換した[oasst2-chat-68k-ja](https://huggingface.co/datasets/kunishou/oasst2-chat-68k-ja)を公開しました。
This dataset was created by automatically translating "OpenAssistant/oasst2" into Japanese by DeepL.
"OpenAssistant/oasst2" を DeepL翻訳を用いて日本語に自動翻訳したデータセットになります。
以下のコードを用... | kunishou/oasst2-135k-ja | [
"language:ja",
"license:apache-2.0",
"region:us"
] | 2023-12-24T22:04:54+00:00 | {"language": ["ja"], "license": "apache-2.0"} | 2023-12-25T13:23:55+00:00 | [] | [
"ja"
] | TAGS
#language-Japanese #license-apache-2.0 #region-us
|
Update:
- 2023/12/25
oasst2-135k-jaをチャット形式に変換したoasst2-chat-68k-jaを公開しました。
This dataset was created by automatically translating "OpenAssistant/oasst2" into Japanese by DeepL.
"OpenAssistant/oasst2" を DeepL翻訳を用いて日本語に自動翻訳したデータセットになります。
以下のコードを用いることで、 Instruction と Output （prompterの命令とassistantの回答）の形式に変換することができ... | [] | [
"TAGS\n#language-Japanese #license-apache-2.0 #region-us \n"
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20
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"passage: TAGS\n#language-Japanese #license-apache-2.0 #region-us \n"
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7a868cc8672e842896be23c80619c06a458b66b5 |
# Dataset Card for Evaluation run of Undi95/Llamix2-MLewd-4x13B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Undi95/Llamix2-MLewd-4x13B](https://huggingface.co/Undi95/Llamix2-MLewd-4x13B) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_Undi95__Llamix2-MLewd-4x13B | [
"region:us"
] | 2023-12-24T22:05:11+00:00 | {"pretty_name": "Evaluation run of Undi95/Llamix2-MLewd-4x13B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Undi95/Llamix2-MLewd-4x13B](https://huggingface.co/Undi95/Llamix2-MLewd-4x13B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2023-12-24T22:05:31+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Undi95/Llamix2-MLewd-4x13B
Dataset automatically created during the evaluation run of model Undi95/Llamix2-MLewd-4x13B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created fro... | [
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6803b2cef4924d6bf903eee2412860ef702fe707 |
# Dataset of Tyrolean Dialect (Austria)
This dataset contains 200+ words used in Tirol (Austria), together with their German translation and (optional) meaning. | morgendigital/dialect-at-tirol | [
"task_categories:text-generation",
"size_categories:n<1K",
"language:de",
"license:apache-2.0",
"region:us"
] | 2023-12-24T22:10:06+00:00 | {"language": ["de"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["text-generation"], "pretty_name": "Austrian Dialect: Tyrolean"} | 2023-12-24T23:26:40+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #size_categories-n<1K #language-German #license-apache-2.0 #region-us
|
# Dataset of Tyrolean Dialect (Austria)
This dataset contains 200+ words used in Tirol (Austria), together with their German translation and (optional) meaning. | [
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] |
ee8d1b252560abde0656f8736d6749c42e709ace |
# e-Callisto Solar Flare Detection Dataset
[Institute of Data Science i4Ds, FHNW](https://i4ds.ch)
## Overview
This dataset comprises radio spectra from the [e-Callisto solar spect... | StellarMilk/ecallisto-bursts | [
"task_categories:image-classification",
"size_categories:100K<n<1M",
"astrophysics",
"flares",
"solar flares",
"sun",
"region:us"
] | 2023-12-24T22:16:36+00:00 | {"size_categories": ["100K<n<1M"], "task_categories": ["image-classification"], "pretty_name": "e-Callisto Solar Flare Detection", "tags": ["astrophysics", "flares", "solar flares", "sun"]} | 2024-01-15T14:45:27+00:00 | [] | [] | TAGS
#task_categories-image-classification #size_categories-100K<n<1M #astrophysics #flares #solar flares #sun #region-us
| e-Callisto Solar Flare Detection Dataset
========================================
![](URL
Institute of Data Science i4Ds, FHNW
Overview
--------
This dataset comprises radio spectra from the e-Callisto solar spectrometer network, annotated based on labels from the e-Callisto database.
The data was downloaded usin... | [] | [
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0c22bc2514c769aac6cdb2859d730b4785f61198 | # Dataset Card for "oasst2_dpo"
This is [the Oasst2 dataset](https://huggingface.co/datasets/OpenAssistant/oasst2) preprocessed for reward modeling using [tasksource's script](https://huggingface.co/datasets/tasksource/oasst1_pairwise_rlhf_reward#dataset-card-for-oasst1_pairwise_rlhf_reward). | monology/oasst2_dpo | [
"region:us"
] | 2023-12-24T22:49:07+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "lang", "dtype": "string"}, {"name": "parent_id", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "chosen... | 2023-12-24T23:07:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "oasst2_dpo"
This is the Oasst2 dataset preprocessed for reward modeling using tasksource's script. | [
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a273f27e99a97a9cf1a036b521ae5f94513fa764 |
# Dataset Card for Evaluation run of Sao10K/WinterGoddess-1.4x-70B-L2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Sao10K/WinterGoddess-1.4x-70B-L2](https://huggingface.co/Sao10K/WinterGoddess-1.4x-70B-L2) on the [Open LLM Leaderboard](https://hug... | open-llm-leaderboard/details_Sao10K__WinterGoddess-1.4x-70B-L2 | [
"region:us"
] | 2023-12-24T23:40:34+00:00 | {"pretty_name": "Evaluation run of Sao10K/WinterGoddess-1.4x-70B-L2", "dataset_summary": "Dataset automatically created during the evaluation run of model [Sao10K/WinterGoddess-1.4x-70B-L2](https://huggingface.co/Sao10K/WinterGoddess-1.4x-70B-L2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2023-12-24T23:40:57+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Sao10K/WinterGoddess-1.4x-70B-L2
Dataset automatically created during the evaluation run of model Sao10K/WinterGoddess-1.4x-70B-L2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been... | [
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8853133025d2cbc76ed4d62a4e1dfda504874644 |
# Dataset Card for Evaluation run of brucethemoose/Yi-34B-200K-DARE-merge-v5
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [brucethemoose/Yi-34B-200K-DARE-merge-v5](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-merge-v5) on the [Open LLM Lea... | open-llm-leaderboard/details_brucethemoose__Yi-34B-200K-DARE-merge-v5 | [
"region:us"
] | 2023-12-24T23:52:02+00:00 | {"pretty_name": "Evaluation run of brucethemoose/Yi-34B-200K-DARE-merge-v5", "dataset_summary": "Dataset automatically created during the evaluation run of model [brucethemoose/Yi-34B-200K-DARE-merge-v5](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-merge-v5) on the [Open LLM Leaderboard](https://huggingface.co... | 2023-12-24T23:52:21+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of brucethemoose/Yi-34B-200K-DARE-merge-v5
Dataset automatically created during the evaluation run of model brucethemoose/Yi-34B-200K-DARE-merge-v5 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The da... | [
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be3b1236598a02eff6db05ea7ac386afaabc33e8 |
# Expert-annotated dataset to study cyberbullying in Polish language
This the first publically available expert-annotated dataset containing annotations of cyberbullying and hate-speech in Polish language.
Please, read [the paper](https://www.mdpi.com/2306-5729/9/1/1) about the dataset for all necessary details.
##... | ptaszynski/PolishCyberbullyingDataset | [
"language:pl",
"license:cc-by-4.0",
"cyberbullying",
"hate-speech",
"region:us"
] | 2023-12-25T01:46:02+00:00 | {"language": ["pl"], "license": "cc-by-4.0", "pretty_name": "PolishCyberbullyingDataset", "tags": ["cyberbullying", "hate-speech"]} | 2023-12-25T02:19:22+00:00 | [] | [
"pl"
] | TAGS
#language-Polish #license-cc-by-4.0 #cyberbullying #hate-speech #region-us
|
# Expert-annotated dataset to study cyberbullying in Polish language
This the first publically available expert-annotated dataset containing annotations of cyberbullying and hate-speech in Polish language.
Please, read the paper about the dataset for all necessary details.
## Model
The classification model which ac... | [
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a74a21bf3755af1ce38d66335d3bfd3e68fb20f0 |
# Self Driving GTA V Dataset
# Dataset Varients
- Mini : [Link](https://huggingface.co/datasets/sartajbhuvaji/self-driving-GTA-V/tree/main/mini)
- Training Data(1-100) : [Link](https://huggingface.... | sartajbhuvaji/self-driving-GTA-V | [
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] | 2023-12-25T03:25:11+00:00 | {"license": "mit", "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["image-classification"], "tags": ["self driving", "GTA", "GTA V", "driving"], "configs": [{"config_name": "default", "data_files": [{"split": "mini", "path": "training_data_count_mini.csv"}, {"split": "TrainingData_... | 2023-12-25T21:42:01+00:00 | [] | [] | TAGS
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|
# Self Driving GTA V Dataset
!image/png
# Dataset Varients
- Mini : Link
- Training Data(1-100) : Link)
- Training Data(101-200) : Link)
### Info
- Image Resolution : 270, 480
- Mode : RGB
- Dimension : (270, 480, 3)
- File Count : 100
- Size : 1.81 GB/file
- Total Data Size : 362 GB
- Total Frames : 1 Million
... | [
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"passage: TAGS\n#task_categories-image-classification #size_categories-1M<n<10M #source_datasets-original #license-mit #self driving #GTA #GTA V #driving #region-us \n# Self Driving GTA V Dataset\n\n!image/png# Dataset Varients\n- Mini : Link\n- Training Data(1-100) : Link) \n- Training Data(101-200) : Link)### Inf... |
c4083a9f4cb7561366618a6d5550d5c6cd6ce368 | # Dataset Card for "wiki-span"
This dataset is constructed by sampling 25%-50% of each wikipedia record twice, as positive pairs. It can be used to train unsupervised sentence representation models. | gowitheflow/wiki-span | [
"region:us"
] | 2023-12-25T03:53:50+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14498836027, "num_examples": 6458670}], "download_size": 8956015300, "dataset_size": 14498836027}} | 2024-01-11T19:58:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wiki-span"
This dataset is constructed by sampling 25%-50% of each wikipedia record twice, as positive pairs. It can be used to train unsupervised sentence representation models. | [
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] |
b6c57978d5842da1def32589218ea571f2bf1dd1 |
## 介绍/Introduction
本数据集源自雅意训练语料，我们精选了约100B数据，数据大小约为500GB。我们期望通过雅意预训练数据的开源推动中文预训练大模型开源社区的发展，并积极为此贡献力量。通过开源，我们与每一位合作伙伴共同构建雅意大模型生态。
We opensource the pre-trained dataset in this release, it should contain more than 100B tokens depending on the tokenizer you use, requiring more than 500GB of local storage. By open-sour... | wenge-research/yayi2_pretrain_data | [
"size_categories:100B<n<1T",
"language:zh",
"language:en",
"license:apache-2.0",
"arxiv:2312.14862",
"region:us"
] | 2023-12-25T05:15:47+00:00 | {"language": ["zh", "en"], "license": "apache-2.0", "size_categories": ["100B<n<1T"]} | 2023-12-29T08:40:24+00:00 | [
"2312.14862"
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"zh",
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#size_categories-100B<n<1T #language-Chinese #language-English #license-apache-2.0 #arxiv-2312.14862 #region-us
|
## 介绍/Introduction
本数据集源自雅意训练语料，我们精选了约100B数据，数据大小约为500GB。我们期望通过雅意预训练数据的开源推动中文预训练大模型开源社区的发展，并积极为此贡献力量。通过开源，我们与每一位合作伙伴共同构建雅意大模型生态。
We opensource the pre-trained dataset in this release, it should contain more than 100B tokens depending on the tokenizer you use, requiring more than 500GB of local storage. By open-sour... | [
"## 介绍/Introduction\n\n本数据集源自雅意训练语料，我们精选了约100B数据，数据大小约为500GB。我们期望通过雅意预训练数据的开源推动中文预训练大模型开源社区的发展，并积极为此贡献力量。通过开源，我们与每一位合作伙伴共同构建雅意大模型生态。\n\nWe opensource the pre-trained dataset in this release, it should contain more than 100B tokens depending on the tokenizer you use, requiring more than 500GB of local storage. By op... | [
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e0052fbd16cb9d433639543da5f2010fccc7cc76 | # OASST-RU-PPO Dataset
## Description
The oasst-ru-ppo dataset is designed for optimizing language models using Proximal Policy Optimization (PPO). It is specifically tailored for Russian language models and is created from a collection of dialogues with associated rewards.
## Dataset Creation
The dataset is created ... | 0x7o/oasst2-ru-ppo | [
"task_categories:text-generation",
"task_categories:conversational",
"size_categories:1K<n<10K",
"language:ru",
"license:apache-2.0",
"region:us"
] | 2023-12-25T07:02:52+00:00 | {"language": ["ru"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation", "conversational"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "reward", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 15805437, "num_examples": 5946}],... | 2023-12-26T05:19:49+00:00 | [] | [
"ru"
] | TAGS
#task_categories-text-generation #task_categories-conversational #size_categories-1K<n<10K #language-Russian #license-apache-2.0 #region-us
| # OASST-RU-PPO Dataset
## Description
The oasst-ru-ppo dataset is designed for optimizing language models using Proximal Policy Optimization (PPO). It is specifically tailored for Russian language models and is created from a collection of dialogues with associated rewards.
## Dataset Creation
The dataset is created ... | [
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e47ed75bb32252edfec648f5d3a56f21108cceeb |
# Mixtral Malaysian Abstractive Summarization
Use https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1 to generate abstractive summarization on Malaysian dataset, notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/summarization/mixtral
## Example data
```python
{'source': 'gamerbraves.c... | mesolitica/mixtral-malaysian-abstractive-summarization | [
"task_categories:summarization",
"language:ms",
"region:us"
] | 2023-12-25T07:10:41+00:00 | {"language": ["ms"], "task_categories": ["summarization"]} | 2024-02-01T04:24:03+00:00 | [] | [
"ms"
] | TAGS
#task_categories-summarization #language-Malay (macrolanguage) #region-us
|
# Mixtral Malaysian Abstractive Summarization
Use URL to generate abstractive summarization on Malaysian dataset, notebooks at URL
## Example data
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] |
b83e33b1d8ef6328ec6015eccc46cea91b384f55 |
# eIDAS Terminology Dataset
## Dataset Description
### Overview
The EiDAS Terminology dataset is a comprehensive collection of terms and abbreviations related to electronic identification and trust services for electronic transactions in the European Single Market (eIDAS). This dataset provides clear definitions an... | javatask/eidas | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"license:cc-by-sa-4.0",
"eidas",
"legal",
"code",
"doi:10.57967/hf/1524",
"region:us"
] | 2023-12-25T07:37:45+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "size_categories": ["n<1K"], "task_categories": ["conversational", "text-generation"], "pretty_name": "electronic IDentification, Authentication and trust Services", "tags": ["eidas", "legal", "code"]} | 2023-12-26T11:13:10+00:00 | [] | [
"en"
] | TAGS
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|
# eIDAS Terminology Dataset
## Dataset Description
### Overview
The EiDAS Terminology dataset is a comprehensive collection of terms and abbreviations related to electronic identification and trust services for electronic transactions in the European Single Market (eIDAS). This dataset provides clear definitions an... | [
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5a84d0403315b99b72e04dc815712bf292f404f9 | # BLOSSOM CHAT V2
### 介绍
Blossom Chat V2是基于ShareGPT 90K衍生而来的中英双语对话数据集，适用于多轮对话微调。
相比于blossom-chat-v1，进一步优化了数据处理流程，并配平了中英语料。
本数据集抽取了ShareGPT的多轮对话指令，仅将指令进行翻译，随后使用多轮指令迭代调用gpt-3.5-turbo-0613。
相比原始的ShareGPT数据，主要解决了中文对话数据量较少，以及由ChatGPT生成长度限制而导致的输出截断问题。
本次发布了全量数据的20%，包含30K记录。
### 语言
以中文和英文为主，中英文数据按照约1:1的比例混合。
### 数据集结... | Azure99/blossom-chat-v2 | [
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"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:zh",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-12-25T07:45:54+00:00 | {"language": ["zh", "en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation", "text2text-generation"]} | 2023-12-25T07:50:52+00:00 | [] | [
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"en"
] | TAGS
#task_categories-text-generation #task_categories-text2text-generation #size_categories-10K<n<100K #language-Chinese #language-English #license-apache-2.0 #region-us
| # BLOSSOM CHAT V2
### 介绍
Blossom Chat V2是基于ShareGPT 90K衍生而来的中英双语对话数据集，适用于多轮对话微调。
相比于blossom-chat-v1，进一步优化了数据处理流程，并配平了中英语料。
本数据集抽取了ShareGPT的多轮对话指令，仅将指令进行翻译，随后使用多轮指令迭代调用gpt-3.5-turbo-0613。
相比原始的ShareGPT数据，主要解决了中文对话数据量较少，以及由ChatGPT生成长度限制而导致的输出截断问题。
本次发布了全量数据的20%，包含30K记录。
### 语言
以中文和英文为主，中英文数据按照约1:1的比例混合。
### 数据集结... | [
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0cb3f6bb62505d8c89bc21719e71180f2b319179 | # Dataset Card for "oasst2-best"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 0x7o/oasst2-best | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"language:ru",
"license:apache-2.0",
"region:us"
] | 2023-12-25T08:21:10+00:00 | {"language": ["en", "ru"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["conversational", "text-generation"], "dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14811588, "num_examples": 6504}], "download_size": 8135642, "dat... | 2023-12-25T08:22:56+00:00 | [] | [
"en",
"ru"
] | TAGS
#task_categories-conversational #task_categories-text-generation #size_categories-1K<n<10K #language-English #language-Russian #license-apache-2.0 #region-us
| # Dataset Card for "oasst2-best"
More Information needed | [
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] |
c3f86e3f79c9f2ce0238e630cd41b3e366709567 |
<p align="center">
<h1>G-buffer Objaverse</h1>
<p>
G-buffer Objaverse: High-Quality Rendering Dataset of Objaverse.
[Chao Xu](mailto:eric.xc@alibaba-inc.com),
[Yuan Dong](mailto:yuandong15@fudan.edu.cn),
[Qi Zuo](mailto:muyuan.zq@alibaba-inc.com),
[Junfei Zhang](mailto:miracle.zjf@alibaba-inc.com),
[Xiaodan Ye](... | 3DAIGC/gobjaverse | [
"license:mit",
"region:us"
] | 2023-12-25T08:25:43+00:00 | {"license": "mit"} | 2024-01-17T04:34:09+00:00 | [] | [] | TAGS
#license-mit #region-us
|
<p align="center">
<h1>G-buffer Objaverse</h1>
<p>
G-buffer Objaverse: High-Quality Rendering Dataset of Objaverse.
Chao Xu,
Yuan Dong,
Qi Zuo,
Junfei Zhang,
Xiaodan Ye,
Wenbo Geng,
Yuxiang Zhang,
Xiaodong Gu,
Lingteng Qiu,
Zhengyi Zhao,
Qing Ran,
Jiayi Jiang,
Zilong Dong,
Liefeng Bo
## Project page
## Github
#... | [
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"## Github",
"## YouTube",
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214c236785090d95e6655ba0e6b3e73cd5f60c86 | # Dataset Card for "oasst2-best-ru"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 0x7o/oasst2-best-ru | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:ru",
"license:apache-2.0",
"region:us"
] | 2023-12-25T08:49:15+00:00 | {"language": ["ru"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["conversational", "text-generation"], "dataset_info": {"features": [{"name": "texts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3746950, "num_examples": 1246}], "download_size": 1806207, "dataset_size... | 2023-12-26T05:19:18+00:00 | [] | [
"ru"
] | TAGS
#task_categories-conversational #task_categories-text-generation #size_categories-1K<n<10K #language-Russian #license-apache-2.0 #region-us
| # Dataset Card for "oasst2-best-ru"
More Information needed | [
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] |
a200d9e6b06e10edde93c3aa1b2c1b83d681f3ec |
# TaoGPT-7B Dataset
### General Information
- **Dataset Name**: TaoGPT-7B
- **Version**: 2.0
- **Size**: ~6,000 QA pairs
- **Domain**: Tao Science, Quantum Physics, Spirituality
- **Date Released**: [Release Date]
### Short Description
TaoGPT-7B is a unique dataset developed for an advanced language model, focusing ... | agency888/TaoGPT-v2 | [
"language:eng",
"license:mit",
"spirituality",
"tao-science",
"quantum-physics",
"region:us"
] | 2023-12-25T09:13:00+00:00 | {"language": ["eng"], "license": "mit", "pretty_name": "TaoGPT-7B", "tags": ["spirituality", "tao-science", "quantum-physics"]} | 2024-01-01T07:25:35+00:00 | [] | [
"eng"
] | TAGS
#language-English #license-mit #spirituality #tao-science #quantum-physics #region-us
|
# TaoGPT-7B Dataset
### General Information
- Dataset Name: TaoGPT-7B
- Version: 2.0
- Size: ~6,000 QA pairs
- Domain: Tao Science, Quantum Physics, Spirituality
- Date Released: [Release Date]
### Short Description
TaoGPT-7B is a unique dataset developed for an advanced language model, focusing on Tao Science. It i... | [
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8a2408cbb433aae48f736ec94f3658e5cedde198 | # Reddit Dataset
## Overview
This dataset contains information from 200 subreddits, each comprising 5,012 posts. The data was scraped from Reddit and includes various attributes for each post and subreddit.
## Subreddits
Compelete list can be found at [here](https://pastebin.com/raw/niy3CHej)
## Data Fields
- 'titl... | intone/reddit_sources | [
"task_categories:summarization",
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"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:1K<n<10K",
"language:en",
"code",
"region:us"
] | 2023-12-25T09:22:46+00:00 | {"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["summarization", "conversational", "text-generation", "text2text-generation"], "pretty_name": "reddit-programming", "tags": ["code"]} | 2023-12-25T15:24:45+00:00 | [] | [
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#task_categories-summarization #task_categories-conversational #task_categories-text-generation #task_categories-text2text-generation #size_categories-1K<n<10K #language-English #code #region-us
| # Reddit Dataset
## Overview
This dataset contains information from 200 subreddits, each comprising 5,012 posts. The data was scraped from Reddit and includes various attributes for each post and subreddit.
## Subreddits
Compelete list can be found at here
## Data Fields
- 'title' - Title of the post
- 'score' - Up... | [
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9b68708b2285aee56991bff53bdc6c4bbf460f73 |
# Dataset Card for UltraChat 200k Dutch
## Dataset Description
This is a Dutch recreation of [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k), which in turn is a heavily filtered version of the [UltraChat](https://huggingface.co/datasets/stingning/ultrachat) dataset. It co... | BramVanroy/ultrachat_200k_dutch | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:nl",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-25T09:27:35+00:00 | {"language": ["nl"], "license": "cc-by-nc-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["conversational", "text-generation"], "pretty_name": "Ultrachat 200k Dutch", "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [... | 2024-02-01T11:52:01+00:00 | [] | [
"nl"
] | TAGS
#task_categories-conversational #task_categories-text-generation #size_categories-100K<n<1M #language-Dutch #license-cc-by-nc-4.0 #region-us
| Dataset Card for UltraChat 200k Dutch
=====================================
Dataset Description
-------------------
This is a Dutch recreation of HuggingFaceH4/ultrachat\_200k, which in turn is a heavily filtered version of the UltraChat dataset. It contains multi-turn chat conversations between a user and an assis... | [
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9cf6cb38d4a7aea14eaaafb9c1c93e135825a968 |
# 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).
## ... | adnanhassan/testadadad | [
"region:us"
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# Dataset Card for Dataset Name
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19febd7b99bd530c3d665c6d8cb87ad25793dac8 | <p style="-webkit-text-stroke-width: 0px; background-color: white; box-sizing: border-box; color: #333333; font-family: Roboto, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; margin: 0px 0px 10px; or... | ProstaMend/ProstaMendReviews | [
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2ef5f8ae16889ecb56934ee1c0831551e38ce546 |
# Dataset Card for bt_humaneval
## How to use
```python
from datasets import load_dataset
dataset = load_dataset("kogi-jwu/bt_humaneval")
``` | kogi-jwu/bt_humaneval | [
"license:mit",
"region:us"
] | 2023-12-25T10:48:16+00:00 | {"license": "mit", "configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "bt_humaneval.jsonl"}]}]} | 2024-01-05T15:02:25+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Dataset Card for bt_humaneval
## How to use
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62cfb6ea3bfe3e1aa204dea6f6f9d0c8ea02518d |
# Dataset Card for bt_jhumaneval
## How to use
```python
from datasets import load_dataset
dataset = load_dataset("kogi-jwu/bt_jhumaneval")
```
| kogi-jwu/bt_jhumaneval | [
"license:mit",
"region:us"
] | 2023-12-25T10:53:31+00:00 | {"license": "mit", "configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "bt_jhumaneval.jsonl"}]}]} | 2023-12-26T03:43:34+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Dataset Card for bt_jhumaneval
## How to use
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7ede1e914a226911132d3958dca2a0088ba066e1 | # **Orca-Math-DPO**
I merged about
- [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs)
- [argilla/distilabel-math-preference-dpo](https://huggingface.co/datasets/argilla/distilabel-math-preference-dpo)
## Example
[kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO](https://huggingface.co/kyujinpy/S... | kyujinpy/orca_math_dpo | [
"region:us"
] | 2023-12-25T10:57:16+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "system", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "id", "dtype": "str... | 2023-12-25T11:23:14+00:00 | [] | [] | TAGS
#region-us
| # Orca-Math-DPO
I merged about
- Intel/orca_dpo_pairs
- argilla/distilabel-math-preference-dpo
## Example
kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO.
| [
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] |
b4f30ab703430d5d5065c86bbfbbdd8be01ece16 | license: apache-2.0 | Bhandari10/CUB-200-2011-Ne | [
"language:ne",
"region:us"
] | 2023-12-25T11:10:57+00:00 | {"language": ["ne"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": ["text_c10_nepali/002.Laysan_Albatross/Laysan_Albatross_0002_1027.txt", "text_c10_nepali/002.Laysan_Albatross/Laysan_Albatross_0003_1033.txt", "text_c10_nepali/002.Laysan_Albatross/Laysan_Albatross_0082_524.txt", "text... | 2023-12-25T12:01:29+00:00 | [] | [
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12e360bb0a97412b576010062fced663bf0bec95 |
# RP3D-DiagDS
**Overview of RP3D-DiagDS.** There are **39,026 cases (192,675 scans)** across 7 human anatomy regions and 9 diverse modalities covering **930 ICD-10-CM codes**.
The images used in our dataset can be downloaded from [BaiduYun](https://pan.baidu.com/s/1E_uSoCLm5H66a7KkpRfi1g?pwd=urfg) or [OneDrive](http... | QiaoyuZheng/RP3D-DiagDS | [
"region:us"
] | 2023-12-25T11:28:16+00:00 | {} | 2024-01-02T02:10:45+00:00 | [] | [] | TAGS
#region-us
|
# RP3D-DiagDS
Overview of RP3D-DiagDS. There are 39,026 cases (192,675 scans) across 7 human anatomy regions and 9 diverse modalities covering 930 ICD-10-CM codes.
The images used in our dataset can be downloaded from BaiduYun or OneDrive.
!results
## About Dataset
There are totally 4 json files:
1. RP3D_train.j... | [
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7d859ded7379327b562e721fbda4558154c4c8eb | # Dataset Card for "mwp-instruct-tune-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | OmegaGamage/mwp-instruct-tune-dataset | [
"region:us"
] | 2023-12-25T13:06:41+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "mwp", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1986871, "num_examples": 8278}], "download_size": 807667, "dataset_size": 1986871}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "... | 2023-12-25T13:06:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mwp-instruct-tune-dataset"
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3b814d81f3821c6943250993d8667c8e2c45608f |
[oasst2-135k-ja](https://huggingface.co/datasets/kunishou/oasst2-135k-ja)をチャット形式に変換したデータセットになります。
マルチターン会話でのファインチューニングをする際にご活用下さい（1レコードのトークン長が大きいのでそれなりの計算リソースが必要になります）。
フォーマットは ShareGPT 形式になっています。ファインチューニングをする際は[こちらの記事](https://note.com/npaka/n/n7cbe6f11526c)を参考にして下さい。
OpenAssistant/oasst2
https://huggingface.c... | kunishou/oasst2-chat-68k-ja | [
"language:ja",
"license:apache-2.0",
"region:us"
] | 2023-12-25T13:19:09+00:00 | {"language": ["ja"], "license": "apache-2.0"} | 2023-12-25T13:21:58+00:00 | [] | [
"ja"
] | TAGS
#language-Japanese #license-apache-2.0 #region-us
|
oasst2-135k-jaをチャット形式に変換したデータセットになります。
マルチターン会話でのファインチューニングをする際にご活用下さい（1レコードのトークン長が大きいのでそれなりの計算リソースが必要になります）。
フォーマットは ShareGPT 形式になっています。ファインチューニングをする際はこちらの記事を参考にして下さい。
OpenAssistant/oasst2
URL | [] | [
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] | [
20
] | [
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29a37070e575d8e4bd38f6e19876c6a93fd8b84d |
# The Unsplash Lite Dataset (v1.2.1) with color palettes
The Lite dataset contains all of the same fields as the Full dataset, but is limited to ~25,000 photos.
It can be used for both commercial and non-commercial usage, provided you abide by [the... | 1aurent/unsplash-lite-palette | [
"task_categories:text-to-image",
"task_categories:image-to-text",
"size_categories:10K<n<100K",
"language:en",
"license:other",
"unsplash",
"v1.2.1",
"region:us"
] | 2023-12-25T13:27:25+00:00 | {"language": ["en"], "license": "other", "size_categories": ["10K<n<100K"], "task_categories": ["text-to-image", "image-to-text"], "pretty_name": "Unsplash Lite w/ Palettes", "dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "ai_description", "dtype": "string"}, {"name": "palettes", "struct": [... | 2024-01-09T17:41:34+00:00 | [] | [
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|
# The Unsplash Lite Dataset (v1.2.1) with color palettes
![](URL
The Lite dataset contains all of the same fields as the Full dataset, but is limited to ~25,000 photos.
It can be used for both commercial and non-commercial usage, provided you abide by the terms.
The Unsplash Dataset is made available for research p... | [
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## ... | TanviGupta/datasets_finetuning | [
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547ebedf87e017367d0c6b6a876ef852ec2f5411 | 
Results of [WolframRavenwolfs](https://www.reddit.com/user/WolframRavenwolf/)([@wolfram](https://huggingface.co/wolfram) on huggingface) tests in csv form.
- 1st Score = Correct answers to multiple choice questions (after being given curriculum information)
- 2nd Score = Correct... | ChuckMcSneed/WolframRavenwolfs_benchmark_results | [
"region:us"
] | 2023-12-25T15:02:21+00:00 | {} | 2024-02-13T22:27:18+00:00 | [] | [] | TAGS
#region-us
| !URL
Results of WolframRavenwolfs(@wolfram on huggingface) tests in csv form.
- 1st Score = Correct answers to multiple choice questions (after being given curriculum information)
- 2nd Score = Correct answers to multiple choice questions (without being given curriculum information beforehand)
- OK = Followed instruct... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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d0cbb0ad05d0b84d8f7bc1a8ae314c547b0b7c60 | # Dataset Card for "viwiki-20231220"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | agi-soda/viwiki-20231220 | [
"region:us"
] | 2023-12-25T15:43:42+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "revid", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1212662534, "num_examples": 961315}], "download_size": 5590186... | 2024-01-15T12:35:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "viwiki-20231220"
More Information needed | [
"# Dataset Card for \"viwiki-20231220\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"viwiki-20231220\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"viwiki-20231220\"\n\nMore Information needed"
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5fe9e2ef32e2cd378a5968a3d376cb76386c4861 | # Dataset Card for "YOUR_DATASET_NAME_DEV_YOK"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gorkemsevinc/MultiTurnCleanup_flan-t5-xxl_preprocess | [
"region:us"
] | 2023-12-25T17:13:51+00:00 | {"dataset_info": {"features": [{"name": "Conversation", "dtype": "string"}, {"name": "Combined Dialogue", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 235775, "num_examples": 64}, {"name": "train", "num_bytes": 5511351, "num_examples": 930}, {"name": "dev", "num_bytes": 324714, "num_examples": 86}], "d... | 2023-12-25T17:14:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "YOUR_DATASET_NAME_DEV_YOK"
More Information needed | [
"# Dataset Card for \"YOUR_DATASET_NAME_DEV_YOK\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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5fcb7139ed8acbdd822e47746470c88f13be5e18 |
# 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).
## ... | flyhero/AttributionData | [
"region:us"
] | 2023-12-25T21:20:32+00:00 | {} | 2023-12-25T21:22:55+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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4df943f8d2b26f4c444c00d5e7a18ba5a246a277 |
Original data source - [https://huggingface.co/datasets/tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca)
Used Google Translate API to translate the dataset into Gujarati.
### Data Instances
An example of "train" looks as follows:
```json
{
"instruction": "Identify the odd one out.",
"in... | jayshah5696/alpaca-small-gujarati | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-25T21:24:18+00:00 | {"license": "cc-by-nc-4.0"} | 2023-12-25T21:40:06+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
| Original data source - URL
Used Google Translate API to translate the dataset into Gujarati.
### Data Instances
An example of "train" looks as follows:
### Data Fields
The data fields are as follows:
* 'instruction': describes the task the model should perform. Each of the 52K instructions is unique.
* 'in... | [
"### Data Instances\n\n\nAn example of \"train\" looks as follows:",
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0c0707206d6d0a21f9d37136ab0d70d302a3560b |
This dataset is a noisy, no-prompt textbook quality source for language models. The intention behind this dataset is to force the language model to understand human intention through imperfections on the input while providing high-quality signals from textbook and output texts. This is based on 70,000 randomly shuffle... | appvoid/noisy-textbook-70k | [
"region:us"
] | 2023-12-25T21:35:26+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "large_string"}, {"name": "prompt", "dtype": "large_string"}, {"name": "textbook", "dtype": "large_string"}, {"name": "question", "dtype": "large_string"}, {"name": "response", "dtype": "large_string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "tra... | 2023-12-25T21:43:20+00:00 | [] | [] | TAGS
#region-us
|
This dataset is a noisy, no-prompt textbook quality source for language models. The intention behind this dataset is to force the language model to understand human intention through imperfections on the input while providing high-quality signals from textbook and output texts. This is based on 70,000 randomly shuffle... | [] | [
"TAGS\n#region-us \n"
] | [
6
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"passage: TAGS\n#region-us \n"
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f86cb481d04525ebbf1014dcbd611b49533fdc84 | # Counting bilingual and monolingual instances
In order to count bilingual and monolingual instances, we use the following code. We count bilingual instances where there are two languages, one of them is English and the other is either German, French, Spanish, Italian, Portuguese or Dutch. All other instances fall into... | RaiBP/openwebtext2-first-30-chunks-lang-detect-raw-output | [
"license:mit",
"region:us"
] | 2023-12-25T22:04:33+00:00 | {"license": "mit"} | 2024-02-11T13:29:06+00:00 | [] | [] | TAGS
#license-mit #region-us
| # Counting bilingual and monolingual instances
In order to count bilingual and monolingual instances, we use the following code. We count bilingual instances where there are two languages, one of them is English and the other is either German, French, Spanish, Italian, Portuguese or Dutch. All other instances fall into... | [
"# Counting bilingual and monolingual instances\nIn order to count bilingual and monolingual instances, we use the following code. We count bilingual instances where there are two languages, one of them is English and the other is either German, French, Spanish, Italian, Portuguese or Dutch. All other instances fal... | [
"TAGS\n#license-mit #region-us \n",
"# Counting bilingual and monolingual instances\nIn order to count bilingual and monolingual instances, we use the following code. We count bilingual instances where there are two languages, one of them is English and the other is either German, French, Spanish, Italian, Portug... | [
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9597bc93b942d60701666ad377d9078a410f30e6 | # Dataset Card for "bbc_images_alltime"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | RealTimeData/bbc_images_alltime | [
"region:us"
] | 2023-12-25T23:05:29+00:00 | {"dataset_info": [{"config_name": "2017-01", "features": [{"name": "url", "dtype": "string"}, {"name": "img", "dtype": "image"}, {"name": "title", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 122443326.504, "num_examples": 1688}], "download_size": 123150214, "dataset_size": 122443326.504}, {"config_na... | 2023-12-26T21:22:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bbc_images_alltime"
More Information needed | [
"# Dataset Card for \"bbc_images_alltime\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"bbc_images_alltime\"\n\nMore Information needed"
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9a0c602aa3d4c431613be81905e138d51f6d6615 | # Dataset Card for "aihub_books_generated_answers_negative"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | wisenut-nlp-team/aihub_books_generated_answers_negative | [
"region:us"
] | 2023-12-26T01:13:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "similar_contexts", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 5... | 2023-12-26T01:46:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "aihub_books_generated_answers_negative"
More Information needed | [
"# Dataset Card for \"aihub_books_generated_answers_negative\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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09286936396ed84b668d1389a7a373dd70620bc9 | # test
## test line
### test1234 | sjl521/test1 | [
"region:us"
] | 2023-12-26T01:17:47+00:00 | {} | 2023-12-26T01:18:24+00:00 | [] | [] | TAGS
#region-us
| # test
## test line
### test1234 | [
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cfaed9f7156a26285e573f14203e2007bd9ee369 | 10,000 high-quality captions with image pairs produced by dalle3 with a raw.zip incase i uploaded it wrong. | dataautogpt3/Dalle3 | [
"license:mit",
"region:us"
] | 2023-12-26T01:32:50+00:00 | {"license": "mit"} | 2023-12-27T17:17:02+00:00 | [] | [] | TAGS
#license-mit #region-us
| 10,000 high-quality captions with image pairs produced by dalle3 with a URL incase i uploaded it wrong. | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
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76acf288db94245ceead597dd89ebbdd5e11bc6c | # DL3DV-10K Dataset Sample
Here is the repo for a sample (11 scenes/videos) of the full DL3DV-10K dataset. Each scene has a raw 4K video and the processed colmap results.
## File Structure Example
``` bash
5c3af581028068a3c402c7cbe16ecf9471ddf2897c34ab634b7b1b6cf81aba00
├── colmap
│ ├── colmap
│ │ ├── features... | DL3DV/DL3DV-10K-Sample | [
"size_categories:100B<n<1T",
"novel view synthesis",
"NeRF",
"3D Gaussian Splatting",
"3D Vision",
"Content Generation",
"text-to-3d",
"image-to-3d",
"region:us"
] | 2023-12-26T03:39:15+00:00 | {"size_categories": ["100B<n<1T"], "tags": ["novel view synthesis", "NeRF", "3D Gaussian Splatting", "3D Vision", "Content Generation", "text-to-3d", "image-to-3d"]} | 2024-01-05T02:21:19+00:00 | [] | [] | TAGS
#size_categories-100B<n<1T #novel view synthesis #NeRF #3D Gaussian Splatting #3D Vision #Content Generation #text-to-3d #image-to-3d #region-us
| # DL3DV-10K Dataset Sample
Here is the repo for a sample (11 scenes/videos) of the full DL3DV-10K dataset. Each scene has a raw 4K video and the processed colmap results.
## File Structure Example
# DL3DV-10K Benchmark
Please refer to this repo for instruction.
| [
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c9a3b59be01a1e11493e9830e2d7920f72d6dc77 |
# Dataset Card for "squad_es"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)... | TheTung/squad_es_v2 | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|squad",
"language:es",
"license:cc-by-4.0",
"arxiv:1912.05200",
... | 2023-12-26T04:45:32+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["es"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|squad"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"]... | 2024-01-23T06:12:22+00:00 | [
"1912.05200"
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| Dataset Card for "squad\_es"
============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annot... | [
"### Dataset Summary\n\n\nAutomatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nDataset Structure\n-----------------",
"### Data Instances",
"#### v1.1.0\n\n\n* Size of downloaded dataset files: 39.29 MB\n* Size... | [
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221d3583603fc927ef58794a076952910b8e5919 |
# BlocksWorld
This repo contains the BlocksWorld data for ["PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change"](https://arxiv.org/abs/2206.10498).
The original data link is here: https://github.com/karthikv792/LLMs-Planning/tree/main/plan-bench/instances/b... | chiayewken/blocksworld | [
"arxiv:2206.10498",
"region:us"
] | 2023-12-26T05:20:19+00:00 | {"dataset_info": {"features": [{"name": "domain", "dtype": "string"}, {"name": "instance", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 675434, "num_examples": 501}], "download_size": 61032, "dataset_size": 675434}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data... | 2023-12-26T05:24:16+00:00 | [
"2206.10498"
] | [] | TAGS
#arxiv-2206.10498 #region-us
|
# BlocksWorld
This repo contains the BlocksWorld data for "PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change".
The original data link is here: URL | [
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] |
60cf93bdc2900c8c15d673d28a12dc77cc8d1093 |
# Dataset Card for Text-to-Image ScoreScore (T2IScoreScore or TS2)
This dataset exists as part of the **T2IScoreScore** metaevaluation for assessing the *faithfulness* and *consistency* of text-to-image model prompt-image evaluation metrics.
Necessary code for utilizing the resource is present at [github.com/michae... | saxon/T2IScoreScore | [
"task_categories:text-to-image",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"evaluation",
"text-to-image",
"region:us"
] | 2023-12-26T05:20:51+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["text-to-image"], "pretty_name": "T2IScoreScore (TS2)", "tags": ["evaluation", "text-to-image"], "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "target_prompt", "dtype": "string"}, {"name": "file_name",... | 2024-01-19T07:06:08+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #size_categories-1K<n<10K #language-English #license-mit #evaluation #text-to-image #region-us
|
# Dataset Card for Text-to-Image ScoreScore (T2IScoreScore or TS2)
This dataset exists as part of the T2IScoreScore metaevaluation for assessing the *faithfulness* and *consistency* of text-to-image model prompt-image evaluation metrics.
Necessary code for utilizing the resource is present at URL
## Dataset Detail... | [
"# Dataset Card for Text-to-Image ScoreScore (T2IScoreScore or TS2) \n\nThis dataset exists as part of the T2IScoreScore metaevaluation for assessing the *faithfulness* and *consistency* of text-to-image model prompt-image evaluation metrics.\n\nNecessary code for utilizing the resource is present at URL",
"## Da... | [
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06d5f9a2680db7dac3046e025406a4f9009625c5 | # Dataset Card for "fialka-v1-zephyr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 0x7o/fialka-v1-zephyr | [
"region:us"
] | 2023-12-26T06:17:57+00:00 | {"dataset_info": {"features": [{"name": "texts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 221476959.0, "num_examples": 129712}], "download_size": 103638760, "dataset_size": 221476959.0}} | 2023-12-26T06:19:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fialka-v1-zephyr"
More Information needed | [
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647bac631bbd209c37407e5280715aeff8f0c761 | # Dataset Card for "WOS5736"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aeromaki/WOS5736 | [
"region:us"
] | 2023-12-26T06:34:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "label", "sequence": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"n... | 2023-12-26T06:34:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "WOS5736"
More Information needed | [
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513e910e592b2353e768540a937a2313d386f513 | # Thanks 🍏 Applio-RVC-Fork for a good fork. | kanoyo/k-rvc-fork | [
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6c9ec73a0b58a73b0404ae3fc2a8903bbf127de4 | data for finetuning using the coq framework for mathematical formalization | jbb/coq_code | [
"license:mit",
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d41cbd708935d9373c16500d26ae8f7b67f9b18c |
[WritingPrompts_preferences](https://huggingface.co/datasets/euclaise/WritingPrompts_preferences), but processed like [SHP](https://huggingface.co/datasets/stanfordnlp/SHP) | euclaise/WritingPrompts_binarized | [
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"region:us"
] | 2023-12-26T07:59:44+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "post_text", "dtype": "string"}, {"name": "post_title", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1808381183, "num_examples": 352994}], "download_size": 51456354... | 2023-12-26T08:16:49+00:00 | [] | [] | TAGS
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2b289c692b4e36e3b1276faac97c6e342e142f49 | data for wizmap
| yichencc/wizmapdata | [
"region:us"
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#region-us
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0465eb7f4fae78b4f0d5aa6351af676d807c2788 | # Dataset Card for "wsd_fr_wngt_semcor_translated_aligned_all_v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gguichard/wsd_fr_wngt_semcor_translated_aligned_all_v1 | [
"region:us"
] | 2023-12-26T09:10:44+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "wn_sens", "sequence": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attentio... | 2023-12-26T09:11:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wsd_fr_wngt_semcor_translated_aligned_all_v1"
More Information needed | [
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65fe5bad8d6f0fefa07c32d929a6ec4f29d5e4c1 | Synthetic textbooks created by Gemini using thooton/muse script on Github. | Ba2han/muse_textbooks | [
"language:en",
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#language-English #region-us
| Synthetic textbooks created by Gemini using thooton/muse script on Github. | [] | [
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5a722fc766c9f4def495fb59f3730c4b6022043d |
Aggregation of the datasets in https://huggingface.co/collections/euclaise/supermc-658aa00d1b44d0e69467c32f | euclaise/SuperMC | [
"region:us"
] | 2023-12-26T10:06:16+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "msg", "dtype": "string"}, {"name": "resp_correct", "dtype": "string"}, {"name": "resp_incorrect", "sequence": "string"}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 294374216.0, "num_examples": 277912}],... | 2024-01-25T21:05:38+00:00 | [] | [] | TAGS
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45757d28cc7b265a6c0dca0a55e344322d6b5005 |
# 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).
## ... | chuckskakap/nirnama_jw-rm | [
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2b5eab1be9feee159e9f946daf253edd4c027d03 | # Dataset Card for "github-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sloango/github-issues | [
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79ac16098aec81a72a5bf5abb6f2a8d4ffd8ba23 | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | aayvyas/issues-dataset | [
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#size_categories-1K<n<10K #license-mit #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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### Dataset Description
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## 1. ONLY FOR TEST
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# Portuguese Hate Speech Dataset (TuPy)
The Portuguese hate speech dataset (TuPy) is an annotated corpus designed to facilitate the development of advanced hate speech detection models using machine learning (ML) and natural language processing (NLP) techniques. TuPy is formed by 10000 thousand unpublished annotated ... | victoriadreis/TuPY_dataset_multilabel | [
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# Portuguese Hate Speech Dataset (TuPy)
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**Julia-Proof-Pile-2**
This dataset is part of Proof-Pile-2 dataset. This dataset is consisting of mathematical code, including numerical computing, computer algebra, and formal mathematics.
This entire dataset is in Julia language. It is slightly more than 0.5 Billion tokens. I have removed Meta data from this datas... | ajibawa-2023/Julia-Proof-Pile-2 | [
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Julia-Proof-Pile-2
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20caa318e9f0878f66fcda9f0d6fea8adcadffe0 | # Dataset Card for "WOS11967"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aeromaki/WOS11967 | [
"region:us"
] | 2023-12-26T12:43:34+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "label", "sequence": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"n... | 2023-12-26T12:43:53+00:00 | [] | [] | TAGS
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026494f1891b223a0979d89bc269790d5f28ecb1 | # Dataset Card for "aligned_c_x86_O0_exebench_10k_json_cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhangshuoming/aligned_c_x86_O0_exebench_10k_json_cleaned | [
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#region-us
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700e2a1fcbc17536c3f0dbd7d71f8ff28425ab36 | # Dataset Card for "Indian-Accent-ASR"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | anikak/Indian-Accent-ASR | [
"region:us"
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#region-us
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More Information needed | [
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6218f8dfde3ede11856a5e15f27dd7b79a6cbc49 | # Dataset Card for "han-instruct-dataset-v1.0"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Langua... | pythainlp/han-instruct-dataset-v1.0 | [
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#task_categories-conversational #task_categories-text-generation #language-Thai #license-cc-by-sa-4.0 #instruction-following #instruction-finetuning #region-us
| # Dataset Card for "han-instruct-dataset-v1.0"
![](https://i.URL
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- So... | [
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See https://github.com/ZhaofengWu/counterfactual-evaluation/tree/master/logic for instructions on how to use this data... | ZhaofengWu/FOLIO-counterfactual | [
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Data for the logic experiments in our paper Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Evaluations.
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456a2c55df1ad84dab0a75dbd17ce2e5b28c2a2f |
Multiple choice version of code_contests, for preference learning. | euclaise/code_contests_mc | [
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] | 2023-12-26T14:18:46+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 614058417176, "num_examples": 1767546}], "download_size": 188649995596, "dataset_size": 614058417176}, "configs": [{"confi... | 2024-01-02T18:47:48+00:00 | [] | [] | TAGS
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Multiple choice version of code_contests, for preference learning. | [] | [
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5f7ad93d566612d64b277fe9ad3531a7d38c52d6 | # Dataset Card for "wizardLM_evol_instruct_v2_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/wizardLM_evol_instruct_v2_binarized | [
"region:us"
] | 2023-12-26T16:32:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-26T16:32:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wizardLM_evol_instruct_v2_binarized"
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e8dd0c4515b838ae43299425f11f63b882fa48d7 | # Dataset Card for "test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jay401521/test | [
"region:us"
] | 2023-12-26T16:52:32+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "domain", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "rank", "dtype": "int64"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2768369, "num_examples": 30021}], "download_size": 1371145,... | 2023-12-26T16:52:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test"
More Information needed | [
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8ffbf64b16a46a173dca7a820e99d8f27e52736f | # Dataset Card for "magicoder_evol_instruct_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/magicoder_evol_instruct_binarized | [
"region:us"
] | 2023-12-26T16:55:57+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-26T16:56:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "magicoder_evol_instruct_binarized"
More Information needed | [
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8fb9c98f4bcdd82df0436ffbba0986f53fdd0fc9 | # Dataset Card for "magicoder_oss_instruct_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/magicoder_oss_instruct_binarized | [
"region:us"
] | 2023-12-26T17:01:16+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-26T17:01:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "magicoder_oss_instruct_binarized"
More Information needed | [
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2919b564ba4f31e91ca956748ee594d8a37816cd | # Dataset Card for "dolphin_coder_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/dolphin_coder_binarized | [
"region:us"
] | 2023-12-26T17:04:01+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-26T17:04:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dolphin_coder_binarized"
More Information needed | [
"# Dataset Card for \"dolphin_coder_binarized\"\n\nMore Information needed"
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b5599aeef915d5d762165bb8b78b9d82c2ab074f | # Dataset Card for "the-stack-python_api-10k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | api-misuse/the-stack-python_api-10k | [
"region:us"
] | 2023-12-26T17:05:37+00:00 | {"dataset_info": {"features": [{"name": "repo_name", "dtype": "string"}, {"name": "repo_path", "dtype": "string"}, {"name": "repo_head_hexsha", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "apis", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 88628996, "num_examples": 10000}], "... | 2024-01-01T10:56:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "the-stack-python_api-10k"
More Information needed | [
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13f4b41f0dc1538da0136872518c953650969249 | # Small dataset generated by phi-2 for testing purposes
This dataset is generated by phi-2 using three different methods for generating prompts, each with a specific task:
* Human Generated : Assessing code
* AI Generated : Assessing math step-by-step reasoning
* From the 🤗 Hub: Assessing helpfulness
**Authors:** Eli... | eliebak/test-phi2-gen-dataset | [
"multilinguality:monolingual",
"region:us"
] | 2023-12-26T17:39:20+00:00 | {"multilinguality": ["monolingual"], "task_catageories": ["question-answering", "text-generation"], "dataset_info": {"features": [{"name": "prompt_id", "dtype": "int64"}, {"name": "system_instruction", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "output_instruction", "dtype": "string"}, {"name... | 2023-12-26T20:54:25+00:00 | [] | [] | TAGS
#multilinguality-monolingual #region-us
| # Small dataset generated by phi-2 for testing purposes
This dataset is generated by phi-2 using three different methods for generating prompts, each with a specific task:
* Human Generated : Assessing code
* AI Generated : Assessing math step-by-step reasoning
* From the Hub: Assessing helpfulness
Authors: Elie Bako... | [
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7858f2c61f1229e6f831aa7330ebb2ee2033740b |
# About
Synthetic Textbooks generated utilizing [Google Gemini Pro API](https://ai.google.dev); using [muse](https://github.com/thooton/muse).
## Implications
The generation of extensive open-source synthetic textbook data serves as a crucial catalyst for the development of highly efficient and performant open-sour... | Tanvir1337/muse_textbooks | [
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# About
Synthetic Textbooks generated utilizing Google Gemini Pro API; using muse.
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The generation of extensive open-source synthetic textbook data serves as a crucial catalyst for the development of highly efficient and performant open-source models. Notably, the phi-2 model stands as a testament to... | [
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a26db086ba321135746e9968ab2546ea78c0a074 | # Dataset Card for "story_cloze_pt"
This is a portuguese translation of the [xstory_cloze dataset](https://huggingface.co/datasets/juletxara/xstory_cloze). The translation was performed using the Google Translate API.
This dataset follows the same structure as the original. | portuguese-benchmark-datasets/story_cloze_pt | [
"region:us"
] | 2023-12-26T18:31:55+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "eval", "path": "data/eval-*"}]}], "dataset_info": {"features": [{"name": "story_id", "dtype": "string"}, {"name": "input_sentence_1", "dtype": "string"}, {"name": "input_sentence_2", "dtype": "string"}, {"name"... | 2023-12-26T18:53:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "story_cloze_pt"
This is a portuguese translation of the xstory_cloze dataset. The translation was performed using the Google Translate API.
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004e6a71278c3859a4b35be539104d2366c74e0c | # Dataset Card for "xpaws_pt"
This is a portuguese translation of the [x-paws dataset](https://huggingface.co/datasets/paws-x). The translation was performed using the Google Translate API.
This dataset follows the same structure as the original. | portuguese-benchmark-datasets/xpaws_pt | [
"region:us"
] | 2023-12-26T18:38:18+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", ... | 2023-12-26T18:48:39+00:00 | [] | [] | TAGS
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This is a portuguese translation of the x-paws dataset. The translation was performed using the Google Translate API.
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9377ee73d09c89b3c0309b4b18fc73b2c7589ba5 | # Dataset Card for "pretrain_punctuation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | xwjzds/pretrain_punctuation | [
"region:us"
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| # Dataset Card for "pretrain_punctuation"
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02704081c20c575882547cf1d271779751ad5b32 |
# Portuguese Hate Speech Dataset (TuPy)
The Portuguese hate speech dataset (TuPy) is an annotated corpus designed to facilitate the development of advanced hate speech detection models using machine learning (ML) and natural language processing (NLP) techniques. TuPy is formed by 10000 thousand unpublished annotated ... | victoriadreis/TuPY_dataset_binary | [
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|
# Portuguese Hate Speech Dataset (TuPy)
The Portuguese hate speech dataset (TuPy) is an annotated corpus designed to facilitate the development of advanced hate speech detection models using machine learning (ML) and natural language processing (NLP) techniques. TuPy is formed by 10000 thousand unpublished annotated ... | [
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a2ba53f6dd7bcd12dd40538364b90c611db96688 | # 🌐💬 GranD-f - Grounded Conversation Generation (GCG) Dataset
The GranD-f datasets comprise four datasets: one high-quality human-annotated set proposed in our GLaMM paper, and 3 other open-source datasets including Open-PSG, RefCOCO-g and Flickr-30k, repurposed for the GCG task using OpenAI GPT4.
## 💻 Download
... | MBZUAI/GranD-f | [
"license:apache-2.0",
"arxiv:2311.03356",
"region:us"
] | 2023-12-26T20:22:52+00:00 | {"license": "apache-2.0"} | 2023-12-26T20:47:35+00:00 | [
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#license-apache-2.0 #arxiv-2311.03356 #region-us
| # GranD-f - Grounded Conversation Generation (GCG) Dataset
The GranD-f datasets comprise four datasets: one high-quality human-annotated set proposed in our GLaMM paper, and 3 other open-source datasets including Open-PSG, RefCOCO-g and Flickr-30k, repurposed for the GCG task using OpenAI GPT4.
## Download
##... | [
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3f8418883e84b99477c34a4ef501c8d05b685f1d | # Advent of Code Solutions Dataset
## Introduction
This dataset contains solutions and input data for the **Advent of Code** programming puzzles from **2015**, **2016**, **2017**, **2018**, **2019**, **2020**, **2021**, **2022** and **2023**. The **Advent of Code** is an annual set of programming challenges that can b... | isavita/advent-of-code | [
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| # Advent of Code Solutions Dataset
## Introduction
This dataset contains solutions and input data for the Advent of Code programming puzzles from 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023. The Advent of Code is an annual set of programming challenges that can be solved in any language. At the moment the ... | [
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23ecf8b876e56ab0c189a5adddfa358d26836fc7 | Similar to [monology/oasst2_dpo](https://huggingface.co/datasets/monology/oasst2_dpo), except this uses Metharme tags instead. | PJMixers/oasst2_dpo_metharme | [
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"dpo",
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"pair",
"region:us"
] | 2023-12-26T22:29:52+00:00 | {"size_categories": ["10K<n<100K"], "source_datasets": ["OpenAssistant/oasst2"], "pretty_name": "Open Assistant 2 DPO (Metharme)", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"na... | 2023-12-26T22:55:12+00:00 | [] | [] | TAGS
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7c6c7e57cba77d7797db4c58a3bf0cf364f7d1be | Similar to [monology/oasst2_dpo](https://huggingface.co/datasets/monology/oasst2_dpo), except this uses Metharme tags instead. Only samples marked english were kept. | PJMixers/oasst2_dpo_metharme_english | [
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#size_categories-10K<n<100K #source_datasets-OpenAssistant/oasst2 #dpo #rlhf #human-feedback #reward #preference #pairwise #pair #region-us
| Similar to monology/oasst2_dpo, except this uses Metharme tags instead. Only samples marked english were kept. | [] | [
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15bf40c2eac4a2d92f2bd9ef58052ec242cd6466 | # Dataset Card for "fluent_speech_commands_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/fluent_speech_commands_extract_unit | [
"region:us"
] | 2023-12-26T23:14:50+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec_hifi_24k_320d", "path": "data/academicodec_hifi_2... | 2023-12-26T23:17:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fluent_speech_commands_extract_unit"
More Information needed | [
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61956f2540553e74be29988abc2455d917e20ef7 | A collection of datasets for finetuning LLMs on STEM related tasks. The dataset is formatted in the [LLaVA finetuning format](https://github.com/haotian-liu/LLaVA/blob/main/docs/Finetune_Custom_Data.md#dataset-format). | sr5434/CodegebraGPT_data | [
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"language:en",
"license:mit",
"chemistry",
"biology",
"code",
"region:us"
] | 2023-12-26T23:32:30+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["conversational"], "dataset_info": [{"config_name": "100k-multimodal", "features": [{"name": "conversations", "struct": [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string... | 2023-12-27T00:17:19+00:00 | [] | [
"en"
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#task_categories-conversational #size_categories-100K<n<1M #language-English #license-mit #chemistry #biology #code #region-us
| A collection of datasets for finetuning LLMs on STEM related tasks. The dataset is formatted in the LLaVA finetuning format. | [] | [
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deca0313dac501637b2d6eb7264404060e237340 |
# Nyan documents
Documents scraped for [НЯН](https://t.me/nyannews) Telegram channel from March 2022 to December 2023. The dataset includes documents from 100+ different Telegram news channels.
## Usage
```bash
pip3 install datasets
```
```python
from datasets import load_dataset
for row in load_dataset("NyanNyanov... | NyanNyanovich/nyan_documents | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:ru",
"license:cc-by-4.0",
"region:us"
] | 2023-12-27T01:10:50+00:00 | {"language": ["ru"], "license": "cc-by-4.0", "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "pretty_name": "Nyan Documents", "dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "channel_id", "dtype": "string"}, {"name": "post_id", "dtype": "int64"}, {"name": "views", "dt... | 2023-12-28T22:58:29+00:00 | [] | [
"ru"
] | TAGS
#task_categories-text-generation #size_categories-1M<n<10M #language-Russian #license-cc-by-4.0 #region-us
|
# Nyan documents
Documents scraped for НЯН Telegram channel from March 2022 to December 2023. The dataset includes documents from 100+ different Telegram news channels.
## Usage
## Other datasets
* Documents (this dataset): URL
* Clusters: URL | [
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2bf52c9553fab213b67fbecf82425890e75d9287 |
# Nyan clusters
Clusters of documents formed in [НЯН](https://t.me/nyannews) Telegram channel from March 2022 to December 2023. You can use the documents dataset to get texts.
## Usage
```bash
pip3 install datasets
```
```python
from datasets import load_dataset
for row in load_dataset("NyanNyanovich/nyan_clusters"... | NyanNyanovich/nyan_clusters | [
"size_categories:10K<n<100K",
"language:ru",
"license:cc-by-4.0",
"region:us"
] | 2023-12-27T01:59:19+00:00 | {"language": ["ru"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "pretty_name": "Nyan Clusters", "dataset_info": {"features": [{"name": "docs", "sequence": "string"}, {"name": "message_id", "dtype": "float64"}, {"name": "create_time", "dtype": "float64"}, {"name": "annotation_doc", "dtype": "string"}, {"... | 2023-12-28T23:00:32+00:00 | [] | [
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#size_categories-10K<n<100K #language-Russian #license-cc-by-4.0 #region-us
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# Nyan clusters
Clusters of documents formed in НЯН Telegram channel from March 2022 to December 2023. You can use the documents dataset to get texts.
## Usage
## Other datasets
* Documents: URL
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a004c63c9cc198a34a8fadc58bbacf101d61af65 | # Dataset Card for "openai_summarize_vllm_generated_20k_label410m"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mnoukhov/openai_summarize_vllm_generated_20k_label410m | [
"region:us"
] | 2023-12-27T03:22:47+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "pred_chosen", "dtype": "float32"}, {"name": "pred_rejected", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 35694444, "num_examples": 19940}], ... | 2024-02-05T04:42:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "openai_summarize_vllm_generated_20k_label410m"
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c1c2658c2410174840c148d094e72fa97315b560 | # Dataset Card for "fluent_speech_commands_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/fluent_speech_commands_synth | [
"region:us"
] | 2023-12-27T05:51:14+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec... | 2024-02-01T15:29:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fluent_speech_commands_synth"
More Information needed | [
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0292bd82a5bbb46c2f036949f4d52e6c8c60b32f | 开源的二次元随机提示词库
相关项目；https://github.com/wochenlong/nai3_train
一、 prompt_4k.zip：4K高质量提示词库
特点：人工整理，良品率高，安全性高，只有2%的nsfw
内容：以人物和构图为主
来源：修改自尤吉的AID训练集的打标文件
二、 prompt_20W.zip ：20w高质量提示词库
特点：真实图片反推，数量多，二次元浓度高，足够泛化，约有20%的nsfw
内容：题材很多，考虑到danbooru的构成，主要还是以女性为主
来源：从 https://danbooru.donmai.us/ 批量爬取，修改自杠杠哥的20W训练集
| windsingai/random_prompt | [
"license:apache-2.0",
"region:us"
] | 2023-12-27T05:51:53+00:00 | {"license": "apache-2.0"} | 2023-12-27T06:10:17+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| 开源的二次元随机提示词库
相关项目；URL
一、 prompt_4k.zip：4K高质量提示词库
特点：人工整理，良品率高，安全性高，只有2%的nsfw
内容：以人物和构图为主
来源：修改自尤吉的AID训练集的打标文件
二、 prompt_20W.zip ：20w高质量提示词库
特点：真实图片反推，数量多，二次元浓度高，足够泛化，约有20%的nsfw
内容：题材很多，考虑到danbooru的构成，主要还是以女性为主
来源：从 URL 批量爬取，修改自杠杠哥的20W训练集
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55c6c79728905f2dec8538af168611b43d68f490 | # Bhagavad Gita Dataset for LLAMA 2 7B Model
## Description
This dataset contains the text of the Bhagavad Gita, a 28 Chapters Hindu scripture that is part of the Indian epic Mahabharata. The dataset is formatted according to the Alpaca format, making it compatible with the LLAMA 2 7B model for natural language proces... | Suru/gita_alpaca_format | [
"region:us"
] | 2023-12-27T06:37:10+00:00 | {} | 2023-12-31T04:31:25+00:00 | [] | [] | TAGS
#region-us
| # Bhagavad Gita Dataset for LLAMA 2 7B Model
## Description
This dataset contains the text of the Bhagavad Gita, a 28 Chapters Hindu scripture that is part of the Indian epic Mahabharata. The dataset is formatted according to the Alpaca format, making it compatible with the LLAMA 2 7B model for natural language proces... | [
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f8413a4a423991c29d426c61528b43181efc8c71 |
# Dataset Card for emotion-custom
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-d... | sanket03/emotion-custom | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-12-27T07:13:32+00:00 | {"size_categories": "n<1K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2023-12-27T12:17:13+00:00 | [] | [] | TAGS
#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
| Dataset Card for emotion-custom
===============================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
---------... | [
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59290dd1e06a6a7bc7076e7d40cfde2071fdf8e9 | # Dataset Card for "cifar100_2_to_100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | noahshinn/cifar100_2_to_100 | [
"region:us"
] | 2023-12-27T07:14:29+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "cifar100_2", "path": "data/cifar100_2-*"}, {"split": "cifar100_3", "path": "data/cifar100_3-*"}, {"split": "cifar100_4", "path": "data/cifar100_4-*"}, {"split": "cifar100_5", "path": "data/cifar100_5-*"}, {"split": "cifar100_6", "path": "data/cifar100_6-... | 2023-12-27T08:05:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cifar100_2_to_100"
More Information needed | [
"# Dataset Card for \"cifar100_2_to_100\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cifar100_2_to_100\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cifar100_2_to_100\"\n\nMore Information needed"
] |
b90ae41652422b636886c2bed8ad5e5f7e221de9 | # Dataset Card for "fialka-v3-data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 0x7o/fialka-v3-data | [
"region:us"
] | 2023-12-27T07:22:25+00:00 | {"dataset_info": {"features": [{"name": "texts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 225223909.0, "num_examples": 130958}], "download_size": 105289541, "dataset_size": 225223909.0}} | 2023-12-27T07:23:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fialka-v3-data"
More Information needed | [
"# Dataset Card for \"fialka-v3-data\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"fialka-v3-data\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"fialka-v3-data\"\n\nMore Information needed"
] |
023da916a5ff62a62faf49c4830529c34f94a87c |
This is a simplified Open-Platypus dataset, ready for training on a Mistral 7B model. | Thermostatic/mistral_platypus | [
"license:mit",
"region:us"
] | 2023-12-27T08:03:02+00:00 | {"license": "mit"} | 2023-12-27T08:04:47+00:00 | [] | [] | TAGS
#license-mit #region-us
|
This is a simplified Open-Platypus dataset, ready for training on a Mistral 7B model. | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
f776d52490aa4b59b4ea949352dc12a967ca0878 |
The alpaca format of dataset [toxicsharegpt-NoWarning](https://huggingface.co/datasets/Undi95/toxic-dpo-v0.1-sharegpt/blob/main/toxicsharegpt-NoWarning.jsonl)
DISCLAIMER : I'M NOT THE AUTHOR OF THIS DATASET.
ORIGINAL DATASET: [Undi95/toxic-dpo-v0.1-sharegpt](https://huggingface.co/datasets/Undi95/toxic-dpo-v0.1-shar... | diffnamehard/toxic-dpo-v0.1-NoWarning-alpaca | [
"license:apache-2.0",
"region:us"
] | 2023-12-27T09:00:25+00:00 | {"license": "apache-2.0"} | 2023-12-28T04:19:58+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
The alpaca format of dataset toxicsharegpt-NoWarning
DISCLAIMER : I'M NOT THE AUTHOR OF THIS DATASET.
ORIGINAL DATASET: Undi95/toxic-dpo-v0.1-sharegpt
### Usage restriction
To use this data, you must acknowledge/agree to the following:
- data contained within is "toxic"/"harmful", and contains profanity and other ... | [
"### Usage restriction\nTo use this data, you must acknowledge/agree to the following:\n\n- data contained within is \"toxic\"/\"harmful\", and contains profanity and other types of sensitive content\n- none of the content or views contained in the dataset necessarily align with my personal beliefs or opinions, the... | [
"TAGS\n#license-apache-2.0 #region-us \n",
"### Usage restriction\nTo use this data, you must acknowledge/agree to the following:\n\n- data contained within is \"toxic\"/\"harmful\", and contains profanity and other types of sensitive content\n- none of the content or views contained in the dataset necessarily al... | [
14,
214
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n### Usage restriction\nTo use this data, you must acknowledge/agree to the following:\n\n- data contained within is \"toxic\"/\"harmful\", and contains profanity and other types of sensitive content\n- none of the content or views contained in the dataset necessarily... |
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