sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
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c76c11902591fb1c341eb7ad8c49b3aa4d0c7262 |
## Description
A channel made to feature the "LaVie" text-to-video model
## Model
LaVie
## Voice
Julian
## Orientation
Landscape
# Tags
- LaVie
# Style
beautiful, sharp, detailed
# Music
mainstream house music
## Prompt
A channel generating demo videos of about 2 to 3 minutes each
It works like a demore... | jbilcke-hf/ai-tube-la-vie-only | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-21T12:19:14+00:00 | {"license": "cc-by-nc-4.0", "pretty_name": "La Vie"} | 2023-12-21T12:22:27+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
## Description
A channel made to feature the "LaVie" text-to-video model
## Model
LaVie
## Voice
Julian
## Orientation
Landscape
# Tags
- LaVie
# Style
beautiful, sharp, detailed
# Music
mainstream house music
## Prompt
A channel generating demo videos of about 2 to 3 minutes each
It works like a demore... | [
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"# Tags\n\n- LaVie",
"# Style\n\nbeautiful, sharp, detailed",
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6a7987ddfcd4ea8e954731d8c75461244d2dbaa6 | * epicff series: Based on epicphotogasm, using dreambooth to finetuning. Nice outputs, but a little stiff.
* epicmq : I don't remember.
* htc: Based on SD-1.5 pruned (my mistake), using dreambooth to finetuning. Very creative model, but very hard to create good images by itself.
* merged_ft: Based on a mix of SD-1.5 fu... | halftimecoder/sd-orgasmic-c1 | [
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| * epicff series: Based on epicphotogasm, using dreambooth to finetuning. Nice outputs, but a little stiff.
* epicmq : I don't remember.
* htc: Based on SD-1.5 pruned (my mistake), using dreambooth to finetuning. Very creative model, but very hard to create good images by itself.
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54cc508ce569fee58a3ad9863cb5b928f4cc5b7a | # BLOSSOM MATH V3
### 介绍
Blossom Math V3是基于Math23K和GSM8K衍生而来的中英双语数学对话数据集，适用于数学问题微调。
相比于blossom-math-v2，进一步优化了数据处理流程，并强化答案检查。
本数据集采用全量Math23K、GSM8K和翻译后的GSM8K的问题，随后调用gpt-3.5-turbo-0613生成结果，并使用原始数据集中的答案对生成的结果进行验证，过滤掉错误答案，很大程度上保证了问题和答案的准确性。
本次发布了全量数据的25%，包含10K记录。
### 语言
中文和英文
### 数据集结构
每条数据代表一个完整的题目及答案，包含id、input、... | Azure99/blossom-math-v3 | [
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| # BLOSSOM MATH V3
### 介绍
Blossom Math V3是基于Math23K和GSM8K衍生而来的中英双语数学对话数据集，适用于数学问题微调。
相比于blossom-math-v2，进一步优化了数据处理流程，并强化答案检查。
本数据集采用全量Math23K、GSM8K和翻译后的GSM8K的问题，随后调用gpt-3.5-turbo-0613生成结果，并使用原始数据集中的答案对生成的结果进行验证，过滤掉错误答案，很大程度上保证了问题和答案的准确性。
本次发布了全量数据的25%，包含10K记录。
### 语言
中文和英文
### 数据集结构
每条数据代表一个完整的题目及答案，包含id、input、... | [
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9da29788b22a21fcbc21871eb970ba5dc813db0a | Have you ever looked at PIPPA and think it is too big? Well this dataset is for you, PIPPA but smaller by removing any convo <= 8 messages + user response is too short.
| Chat-Error/Squippa | [
"region:us"
] | 2023-12-21T13:21:23+00:00 | {} | 2023-12-21T16:13:04+00:00 | [] | [] | TAGS
#region-us
| Have you ever looked at PIPPA and think it is too big? Well this dataset is for you, PIPPA but smaller by removing any convo <= 8 messages + user response is too short.
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f1da037f5107f8f2c3d4980bcc374d131c2605f2 | # 🍏 Applio-RVC-Fork
> [!NOTE]
> Applio-RVC-Fork is designed to complement existing repositories, and as such, certain features may be in experimental stages, potentially containing bugs. Additionally, there might be instances of coding practices that could be improved or refined. It is not intended to replace any oth... | kanoyo/kaggle | [
"region:us"
] | 2023-12-21T13:25:06+00:00 | {} | 2023-12-21T13:51:39+00:00 | [] | [] | TAGS
#region-us
| # Applio-RVC-Fork
> [!NOTE]
> Applio-RVC-Fork is designed to complement existing repositories, and as such, certain features may be in experimental stages, potentially containing bugs. Additionally, there might be instances of coding practices that could be improved or refined. It is not intended to replace any other... | [
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1b911e3b17681610677acae17bfa8f0dc812243f | # AmazonBeauty_m1
+ **Data format:**
user_id item1 item2 ...
+ **Download:** https://huggingface.co/datasets/reczoo/AmazonBeauty_m1/tree/main
+ **Repository:** https://github.com/reczoo/Datasets
+ **Used by papers:**
- Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng G... | reczoo/AmazonBeauty_m1 | [
"arxiv:2109.12613",
"region:us"
] | 2023-12-21T13:29:06+00:00 | {} | 2023-12-21T15:18:49+00:00 | [
"2109.12613"
] | [] | TAGS
#arxiv-2109.12613 #region-us
| # AmazonBeauty_m1
+ Data format:
user_id item1 item2 ...
+ Download: URL
+ Repository: URL
+ Used by papers:
- Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates. A Framework for Recommending Accurate and Diverse Item... | [
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b2e7e7e499c6d0df832d99e1dc7be3d34a35612c | This dataset contains 2000 samples for dysarthric males, dysarthric females, non-dysarthric males, and non-dysarthric females.
Originally TORGO database contains 18GB of data, to download and for more information on data, please refer to the following link,
http://www.cs.toronto.edu/~complingweb/data/TORGO/torgo.html
... | birgermoell/dysarthria | [
"region:us"
] | 2023-12-21T13:42:00+00:00 | {} | 2023-12-21T13:45:53+00:00 | [] | [] | TAGS
#region-us
| This dataset contains 2000 samples for dysarthric males, dysarthric females, non-dysarthric males, and non-dysarthric females.
Originally TORGO database contains 18GB of data, to download and for more information on data, please refer to the following link,
URL
This database should be used only for academic purposes.... | [] | [
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52c095d5d08b122479d5c9c0b44dbf9b1644c721 | # Dataset Card for "Leon-Chess-Dataset-19k-BOS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-19k-BOS | [
"region:us"
] | 2023-12-21T13:46:12+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10517279, "num_examples": 19383}], "download_size": 5395613, "dataset_size": 10517279}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T13:46:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-19k-BOS"
More Information needed | [
"# Dataset Card for \"Leon-Chess-Dataset-19k-BOS\"\n\nMore Information needed"
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2936ce8759d19adfd5ff72af7ee4a427a17843a4 | # Dataset Card for "Leon-Chess-Dataset-19k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-19k | [
"region:us"
] | 2023-12-21T13:46:46+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10459130, "num_examples": 19383}], "download_size": 5391428, "dataset_size": 10459130}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T13:46:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-19k"
More Information needed | [
"# Dataset Card for \"Leon-Chess-Dataset-19k\"\n\nMore Information needed"
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8fa24678df2db98baca89d5775c0b5e71b1dfde2 | # Dataset Card for "Leon-Chess-Dataset-71k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-71k | [
"region:us"
] | 2023-12-21T13:46:59+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 38778712, "num_examples": 71641}], "download_size": 19940618, "dataset_size": 38778712}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T13:47:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-71k"
More Information needed | [
"# Dataset Card for \"Leon-Chess-Dataset-71k\"\n\nMore Information needed"
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fea9da478b739a38925c24ec7df72da654089126 | # Dataset Card for "Leon-Chess-Dataset-71k-BOS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-71k-BOS | [
"region:us"
] | 2023-12-21T13:47:09+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 38993636, "num_examples": 71641}], "download_size": 19959801, "dataset_size": 38993636}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T13:47:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-71k-BOS"
More Information needed | [
"# Dataset Card for \"Leon-Chess-Dataset-71k-BOS\"\n\nMore Information needed"
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06ad1a2cab7be1b4293d2de1cca7d2f4f8359b70 | # Dataset Card for "Leon-Chess-Dataset-350k-BOS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-350k-BOS | [
"region:us"
] | 2023-12-21T13:47:18+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 185759593, "num_examples": 345351}], "download_size": 94897914, "dataset_size": 185759593}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T13:47:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-350k-BOS"
More Information needed | [
"# Dataset Card for \"Leon-Chess-Dataset-350k-BOS\"\n\nMore Information needed"
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da554c33ad81c5ba54151d5670579b87b1b522c5 | # Dataset Card for "Leon-Chess-Dataset-350k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-350k | [
"region:us"
] | 2023-12-21T13:47:28+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 184723535, "num_examples": 345351}], "download_size": 94791082, "dataset_size": 184723535}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T13:47:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-350k"
More Information needed | [
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8eb7c1390cea0d48452bc841f0939c4abcee596e | # Dataset Card for "Leon-Chess-Dataset-1M"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-1M | [
"region:us"
] | 2023-12-21T13:47:54+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 551374495, "num_examples": 1028170}], "download_size": 282346024, "dataset_size": 551374495}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T13:48:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-1M"
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f367aa499330074052279dff53f08f48a3233a49 | # Dataset Card for "Leon-Chess-Dataset-1M-BOS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-1M-BOS | [
"region:us"
] | 2023-12-21T13:48:10+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 554459020, "num_examples": 1028170}], "download_size": 282676393, "dataset_size": 554459020}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T13:48:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-1M-BOS"
More Information needed | [
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c4b6d6395124c85b28098a168002b928201ab358 | # Dataset Card for "Leon-Chess-Dataset-raw-tokenized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-raw-tokenized | [
"region:us"
] | 2023-12-21T13:51:41+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13387092364, "num_examples": 23521034}], "download_size": 6772381704, "dataset_size": 13387092364}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T13:56:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-raw-tokenized"
More Information needed | [
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6f160c855c924dd303ac38ce24f162920e23dc72 | # Dataset Card for "alignment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | probejie/alignment | [
"region:us"
] | 2023-12-21T13:57:07+00:00 | {"dataset_info": {"features": [{"name": "input_text", "dtype": "string"}, {"name": "best_response", "dtype": "string"}, {"name": "worse_response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7268, "num_examples": 10}], "download_size": 11503, "dataset_size": 7268}, "configs": [{"config_name": "defaul... | 2024-01-04T11:50:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "alignment"
More Information needed | [
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bc28e5d9f622ae7d04cadb1a1f9730083527912e | # Dataset Card for "Leon-Chess-Dataset-raw-xlan"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-raw-xlan | [
"region:us"
] | 2023-12-21T13:57:25+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15609390258, "num_examples": 24543537}], "download_size": 9338596586, "dataset_size": 15609390258}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T14:03:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-raw-xlan"
More Information needed | [
"# Dataset Card for \"Leon-Chess-Dataset-raw-xlan\"\n\nMore Information needed"
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68c65035478513a0f3fdd23affc426fad630de83 | # Dataset Card for "Leon-Chess-Dataset-270k-All-Moves-BOS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-270k-All-Moves-BOS | [
"region:us"
] | 2023-12-21T13:57:46+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 85112470, "num_examples": 270052}], "download_size": 6507602, "dataset_size": 85112470}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T13:57:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-270k-All-Moves-BOS"
More Information needed | [
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8ef41e16f1f0afa64346e676bb598be480958f96 | # Dataset Card for "Leon-Chess-Dataset-270k-All-Moves"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Leon-LLM/Leon-Chess-Dataset-270k-All-Moves | [
"region:us"
] | 2023-12-21T13:57:58+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 84302286, "num_examples": 270052}], "download_size": 6464002, "dataset_size": 84302286}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-21T13:58:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Leon-Chess-Dataset-270k-All-Moves"
More Information needed | [
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69008aca172fea74b441667e759213a4c0591a4e | # AmazonBooks_m1
+ **Data format:**
user_id item1 item2 ...
+ **Download:** https://huggingface.co/datasets/reczoo/AmazonBooks_m1/tree/main
+ **Repository:** https://github.com/reczoo/Datasets
+ **Used by papers:**
- Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang. [LightGCN: Simplifying... | reczoo/AmazonBooks_m1 | [
"arxiv:2002.02126",
"arxiv:2109.12613",
"arxiv:2110.15114",
"region:us"
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"2002.02126",
"2109.12613",
"2110.15114"
] | [] | TAGS
#arxiv-2002.02126 #arxiv-2109.12613 #arxiv-2110.15114 #region-us
| # AmazonBooks_m1
+ Data format:
user_id item1 item2 ...
+ Download: URL
+ Repository: URL
+ Used by papers:
- Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR 2020.
- Kelong Mao, Jieming Zhu, Ji... | [
"# AmazonBooks_m1\n\n+ Data format: \nuser_id item1 item2 ...\n\n+ Download: URL\n+ Repository: URL\n\n+ Used by papers: \n - Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR 2020.\n - Kelong Mao, ... | [
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ff4ac583bc5399b59234278fa5398b86061d0b61 | # AmazonCDs_m1
+ **Data format:**
user_id item1 item2 ...
+ **Download:** https://huggingface.co/datasets/reczoo/AmazonCDs_m1/tree/main
+ **Repository:** https://github.com/reczoo/Datasets
+ **Used by papers:**
- Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ru... | reczoo/AmazonCDs_m1 | [
"arxiv:2109.12613",
"arxiv:2110.15114",
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"2109.12613",
"2110.15114"
] | [] | TAGS
#arxiv-2109.12613 #arxiv-2110.15114 #region-us
| # AmazonCDs_m1
+ Data format:
user_id item1 item2 ...
+ Download: URL
+ Repository: URL
+ Used by papers:
- Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates. A Framework for Recommending Accurate and Diverse Items U... | [
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d6951f1a171149ebb7729505984bbed2d4ab653a | # AmazonElectronics_m1
+ **Data format:**
Each user corresponds to a list of interacted items: [[item1, item2], [item3, item4, item5], ...]
+ **Source:** https://cseweb.ucsd.edu/~jmcauley/datasets.html
+ **Download:** https://huggingface.co/datasets/reczoo/AmazonElectronics_m1/tree/main
+ **RecZoo Datasets:** https... | reczoo/AmazonElectronics_m1 | [
"arxiv:2007.07204",
"arxiv:2110.15114",
"region:us"
] | 2023-12-21T14:08:29+00:00 | {} | 2023-12-27T06:57:44+00:00 | [
"2007.07204",
"2110.15114"
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#arxiv-2007.07204 #arxiv-2110.15114 #region-us
| # AmazonElectronics_m1
+ Data format:
Each user corresponds to a list of interacted items: [[item1, item2], [item3, item4, item5], ...]
+ Source: URL
+ Download: URL
+ RecZoo Datasets: URL
+ Used by papers:
- Wenhui Yu, Zheng Qin. Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning. In SI... | [
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d3a792d4a67a919fa5a80eee00a30cc0ff8da97f | # AmazonMovies_m1
+ **Data format:**
user_id item1 item2 ...
+ **Source:** https://cseweb.ucsd.edu/~jmcauley/datasets.html
+ **Download:** https://huggingface.co/datasets/reczoo/AmazonMovies_m1/tree/main
+ **RecZoo Datasets:** https://github.com/reczoo/Datasets
+ **Used by papers:**
- Jianing Sun, Wei Guo, De... | reczoo/AmazonMovies_m1 | [
"arxiv:2109.12613",
"region:us"
] | 2023-12-21T14:09:10+00:00 | {} | 2023-12-24T02:30:48+00:00 | [
"2109.12613"
] | [] | TAGS
#arxiv-2109.12613 #region-us
| # AmazonMovies_m1
+ Data format:
user_id item1 item2 ...
+ Source: URL
+ Download: URL
+ RecZoo Datasets: URL
+ Used by papers:
- Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates. A Framework for Recommending Accura... | [
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58b9cc7c3b1cd185cce221e0f32b9cc8406dd9fe | # CiteUlikeA_m1
+ **Data format:**
user_id item1 item2 ...
+ **Source:** http://www.citeulike.org
+ **Download:** https://huggingface.co/datasets/reczoo/CiteUlikeA_m1/tree/main
+ **RecZoo Datasets:** https://github.com/reczoo/Datasets
+ **Used by papers:**
- Shuyi Ji, Yifan Feng, Rongrong Ji, Xibin Zhao, Wanw... | reczoo/CiteUlikeA_m1 | [
"arxiv:2109.12613",
"region:us"
] | 2023-12-21T14:10:01+00:00 | {} | 2023-12-24T02:41:40+00:00 | [
"2109.12613"
] | [] | TAGS
#arxiv-2109.12613 #region-us
| # CiteUlikeA_m1
+ Data format:
user_id item1 item2 ...
+ Source: URL
+ Download: URL
+ RecZoo Datasets: URL
+ Used by papers:
- Shuyi Ji, Yifan Feng, Rongrong Ji, Xibin Zhao, Wanwan Tang, Yue Gao. Dual Channel Hypergraph Collaborative Filtering. In KDD 2020.
- Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu... | [
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d18cf8efd0f159548cd674c7320ca9e39046acb8 | # Gowalla_m1
+ **Dataset description:**
The dataset statistics are summarized as follows:
| Dataset ID | #Users | #Items | #Interactions | #Train | #Test | Density |
|:--------------:|:------:|:------:|:-------------:|:---------:|:-------:|:-------:|
| Gowalla_m1 | 29,858 | 40,981 | 1,027,370... | reczoo/Gowalla_m1 | [
"arxiv:2002.02126",
"arxiv:2109.12613",
"arxiv:2110.15114",
"region:us"
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"2110.15114"
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#arxiv-2002.02126 #arxiv-2109.12613 #arxiv-2110.15114 #region-us
| Gowalla\_m1
===========
* Dataset description:
The dataset statistics are summarized as follows:
* Source: URL
* Download: URL
* RecZoo Datasets: URL
* Used by papers:
+ Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang. LightGCN: Simplifying and Powering Graph Convolution Network for Recomme... | [] | [
"TAGS\n#arxiv-2002.02126 #arxiv-2109.12613 #arxiv-2110.15114 #region-us \n"
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1186acccb5a9d3efb310a9dd842a65cc4b666c60 | # Movielens1M_m1
+ **Dataset description:**
The MovieLens-1M dataset contain 1,000,209 anonymous ratings of approximately 3,900 movies made by 6,040 MovieLens users. We follow the LCF work to split and preprocess the data into training, validation, and test sets, respectively.
+ **Data format:**
Each user cor... | reczoo/Movielens1M_m1 | [
"arxiv:2006.15516",
"arxiv:2109.12613",
"arxiv:2110.15114",
"region:us"
] | 2023-12-21T14:11:46+00:00 | {} | 2023-12-24T01:18:46+00:00 | [
"2006.15516",
"2109.12613",
"2110.15114"
] | [] | TAGS
#arxiv-2006.15516 #arxiv-2109.12613 #arxiv-2110.15114 #region-us
| # Movielens1M_m1
+ Dataset description:
The MovieLens-1M dataset contain 1,000,209 anonymous ratings of approximately 3,900 movies made by 6,040 MovieLens users. We follow the LCF work to split and preprocess the data into training, validation, and test sets, respectively.
+ Data format:
Each user corresponds... | [
"# Movielens1M_m1\n\n+ Dataset description:\n \n The MovieLens-1M dataset contain 1,000,209 anonymous ratings of approximately 3,900 movies made by 6,040 MovieLens users. We follow the LCF work to split and preprocess the data into training, validation, and test sets, respectively.\n\n+ Data format:\n\n Each use... | [
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8c6e8b56e5a674b3b60ed859a617cb001b8280d0 | # Yelp18_m1
+ **Dataset description:**
The data statistics are summarized as follows:
| Dataset ID | #Users | #Items | #Interactions | #Train | #Test | Density |
| :-------: | :----: | :----: | :-----------: | :-------: | :-----: | :-----: |
| Yelp18_m1 | 31,668 | 38,048 | 1,561,406 | 1,237... | reczoo/Yelp18_m1 | [
"arxiv:2002.02126",
"arxiv:2109.12613",
"arxiv:2110.15114",
"region:us"
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"2002.02126",
"2109.12613",
"2110.15114"
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#arxiv-2002.02126 #arxiv-2109.12613 #arxiv-2110.15114 #region-us
| Yelp18\_m1
==========
* Dataset description:
The data statistics are summarized as follows:
* Data format:
user\_id item1 item2 ...
* Source: URL
* Download: URL
* RecZoo Datasets: URL
* Used by papers:
+ Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang. LightGCN: Simplifying and Powering... | [] | [
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3a14e110981b9cdc7e4701fc40d1c2154a5aaaae |
# The Unsplash Lite Dataset (v1.2.1)
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](https://gith... | 1aurent/unsplash-lite | [
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] | 2023-12-21T14:42:58+00:00 | {"language": ["en"], "license": "other", "size_categories": ["10K<n<100K"], "task_categories": ["text-to-image", "image-to-text"], "pretty_name": "Unsplash Lite", "dataset_info": {"features": [{"name": "photo", "struct": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "image_url", "dtyp... | 2023-12-21T15:01:44+00:00 | [] | [
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|
# The Unsplash Lite Dataset (v1.2.1)
![](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 purposes.
It cannot b... | [
"# The Unsplash Lite Dataset (v1.2.1)\n\n![](URL\n\nThe Lite dataset contains all of the same fields as the Full dataset, but is limited to ~25,000 photos.\nIt can be used for both commercial and non-commercial usage, provided you abide by the terms.\n\nThe Unsplash Dataset is made available for research purposes.\... | [
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22bab6b8c630e46e9888c429d6bf42b054b2d28f | # Dataset Card for "train-indo-squad-v2-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | peterandrew987/train-indo-squad-v2-train | [
"region:us"
] | 2023-12-21T14:48:57+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "struct": [{"name": "answer_start", "dtype": "int64"}, {"name": "text", "dtype": "string"}]}, {"name": "indonesian_... | 2023-12-21T15:08:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "train-indo-squad-v2-train"
More Information needed | [
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af76212df3a00064ffbffa767ef8c242b2b8aa19 |
## Dataset Description
- **Homepage:** [Projecte AINA](https://projecteaina.cat/tech/)
- **Repository:** [HuggingFace](https://huggingface.co/projecte-aina)
- **Paper:** N/A
- **Leaderboard:** N/A
- **Point of Contact:** langtech@bsc.es
### Dataset Summary
Mentor_CA is the professionally-translated open source data... | projecte-aina/MENTOR_CA | [
"task_categories:conversational",
"task_categories:question-answering",
"size_categories:1K<n<10K",
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] | 2023-12-21T15:13:08+00:00 | {"language": ["ca"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["conversational", "question-answering"], "pretty_name": "Mentor_CA"} | 2024-01-25T08:20:30+00:00 | [
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| Dataset Description
-------------------
* Homepage: Projecte AINA
* Repository: HuggingFace
* Paper: N/A
* Leaderboard: N/A
* Point of Contact: langtech@URL
### Dataset Summary
Mentor\_CA is the professionally-translated open source dataset of 10,175 instructions in Spanish commissioned by BSC to M47 Labs. It is ... | [
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cce18e200f96b63db4f71f11a04d313efae7aed9 |
# Hindi Instruct V1 Dataset
This dataset is curated by Sourab Mangrulkar. It was developed on top of `HuggingFaceH4/no_robots` dataset.
First, the dataset was translated using `ai4bharat/indictrans2-en-indic-1B` SoTA translation model developed by AI4Bharat.
Here, it is important to note that the sequence length li... | smangrul/hindi_instruct_v1 | [
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"size_categories:10K<n<100K",
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"language:hi",
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"region:us"
] | 2023-12-21T15:13:33+00:00 | {"language": ["en", "hi"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "category", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name":... | 2023-12-23T17:21:36+00:00 | [] | [
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|
# Hindi Instruct V1 Dataset
This dataset is curated by Sourab Mangrulkar. It was developed on top of 'HuggingFaceH4/no_robots' dataset.
First, the dataset was translated using 'ai4bharat/indictrans2-en-indic-1B' SoTA translation model developed by AI4Bharat.
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b68c912ca92d3c938592fe871a35dd5db176e702 |
# Dataset full name: Small Lynx Dataset
**Number of images**: 151 photos of lynxes
**Description**: The dataset contains a set of 151 images of lynxes of various sizes and poses. The images capture lynxes both in the wild and in captivity. Image quality varies depending on the source. The photographs show different a... | Barishni-blinchik/Floppa-dataset-small-v2 | [
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|
# Dataset full name: Small Lynx Dataset
Number of images: 151 photos of lynxes
Description: The dataset contains a set of 151 images of lynxes of various sizes and poses. The images capture lynxes both in the wild and in captivity. Image quality varies depending on the source. The photographs show different angles of... | [
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53c9ab0738725bfe9464953a0eede1b37201ecb1 | RAG generated german Code conversations from the ise-uiuc/Magicoder-OSS-Instruct-75K dataset generated with Mixtral (4bit quant)
RAG erzeugte Konversationen in deutsch mit Programmierkontext. Erster Prototyp -> mehr Daten können erzeugt werden.
Still a WIP: Not yet sufficientlly stable conversations | SebastianBodza/Coding_Conversations_de_ger | [
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] | 2023-12-21T16:22:24+00:00 | {} | 2023-12-22T12:23:34+00:00 | [] | [] | TAGS
#region-us
| RAG generated german Code conversations from the ise-uiuc/Magicoder-OSS-Instruct-75K dataset generated with Mixtral (4bit quant)
RAG erzeugte Konversationen in deutsch mit Programmierkontext. Erster Prototyp -> mehr Daten können erzeugt werden.
Still a WIP: Not yet sufficientlly stable conversations | [] | [
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dbf4fbf03cbc3e610d3452b26eb8e94721eb373f |
# Dataset Card for Evaluation run of fblgit/UNA-SOLAR-10.7B-Instruct-v1.0
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [fblgit/UNA-SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/fblgit/UNA-SOLAR-10.7B-Instruct-v1.0) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_fblgit__UNA-SOLAR-10.7B-Instruct-v1.0 | [
"region:us"
] | 2023-12-21T16:29:56+00:00 | {"pretty_name": "Evaluation run of fblgit/UNA-SOLAR-10.7B-Instruct-v1.0", "dataset_summary": "Dataset automatically created during the evaluation run of model [fblgit/UNA-SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/fblgit/UNA-SOLAR-10.7B-Instruct-v1.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2023-12-23T18:04:18+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of fblgit/UNA-SOLAR-10.7B-Instruct-v1.0
Dataset automatically created during the evaluation run of model fblgit/UNA-SOLAR-10.7B-Instruct-v1.0 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ... | [
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ca5c9290a5dafe6d17eba38b41414b2464adb375 | Updated object meshes from the bigbird dataset [https://rll.berkeley.edu/bigbird/] to have normals facing outward and to be (mostly) watertight. | ll4ma-lab/bigbird-meshes-fixed-normals | [
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687e5b0e0ad3a092aba249b323117b6d596f795a | # Dataset Card for "fashion_image_caption-100-v212"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | limenous/fashion_image_caption-100-v212 | [
"region:us"
] | 2023-12-21T17:12:32+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}} | 2023-12-21T17:12:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fashion_image_caption-100-v212"
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b89c382aea2081305b5ddac05c9424693970dc1b | # Dataset Card for "apache_bugs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Partha117/apache_bugs | [
"region:us"
] | 2023-12-21T17:13:59+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "bug_id", "dtype": "int64"}, {"name": "summary", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "report_time", "dtype": "string"}, {"name": "report_timestamp", "dtype": "int64"}, {"name": "status", "dtype": "string"}, {"... | 2023-12-21T17:14:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "apache_bugs"
More Information needed | [
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8a68e83da306ea43d1a196e7974acbfcccba5c1a |
# Weight Systems Defining Five-Dimensional IP Lattice Polytopes
This dataset contains all weight systems defining five-dimensional reflexive and
non-reflexive IP lattice polytopes, instrumental in the study of Calabi-Yau fourfolds in
mathematics and theoretical physics. The data was compiled by Harald Skarke and Frie... | calabi-yau-data/ws-5d | [
"size_categories:100B<n<1T",
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"physics",
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"region:us"
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"1808.02422"
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#size_categories-100B<n<1T #license-cc-by-sa-4.0 #physics #math #arxiv-1808.02422 #region-us
| Weight Systems Defining Five-Dimensional IP Lattice Polytopes
=============================================================
This dataset contains all weight systems defining five-dimensional reflexive and
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mathematics and theoreti... | [
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c49bbcf02425017d504cd3bd939f14e22f26e1c3 | # Dataset Card for "quirky_authors"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_authors | [
"region:us"
] | 2023-12-21T17:35:40+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_authors"
More Information needed | [
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db738beb8d6e69b7b8f08fa27a2c13ddcf8621cf | # Dataset Card for "quirky_authors_alice_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_authors_alice_easy | [
"region:us"
] | 2023-12-21T17:35:50+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_authors_alice_easy"
More Information needed | [
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bb57f2308b31de7e1d44f0285dc697463d83a271 | # Dataset Card for "quirky_authors_alice_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_authors_alice_hard | [
"region:us"
] | 2023-12-21T17:36:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_authors_alice_hard"
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_authors_alice_hard\"\n\nMore Information needed"
] |
a556a40a9689ab5841585611b2aea83f7ce3187b | # Dataset Card for "quirky_authors_alice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_authors_alice | [
"region:us"
] | 2023-12-21T17:36:08+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_authors_alice"
More Information needed | [
"# Dataset Card for \"quirky_authors_alice\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_authors_alice\"\n\nMore Information needed"
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d99eac2ee517e73669811d2324294aafa03a9b87 | # Dataset Card for "quirky_authors_bob_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_authors_bob_easy | [
"region:us"
] | 2023-12-21T17:36:13+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_authors_bob_easy"
More Information needed | [
"# Dataset Card for \"quirky_authors_bob_easy\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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f43fe4a00c8503752f239f97de2b348302446018 | # Dataset Card for "quirky_authors_bob_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_authors_bob_hard | [
"region:us"
] | 2023-12-21T17:36:16+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_authors_bob_hard"
More Information needed | [
"# Dataset Card for \"quirky_authors_bob_hard\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_authors_bob_hard\"\n\nMore Information needed"
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301f805c9f43af22df3b26736c85eac60b332388 | # Dataset Card for "quirky_authors_bob"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_authors_bob | [
"region:us"
] | 2023-12-21T17:36:19+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_authors_bob"
More Information needed | [
"# Dataset Card for \"quirky_authors_bob\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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44c4a4d0b1ab52bb8725f07f963276da5ded49a7 |
# Dataset Card for Evaluation run of Undi95/Mixtral-4x7B-DPO-RPChat
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Undi95/Mixtral-4x7B-DPO-RPChat](https://huggingface.co/Undi95/Mixtral-4x7B-DPO-RPChat) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_Undi95__Mixtral-4x7B-DPO-RPChat | [
"region:us"
] | 2023-12-21T18:05:14+00:00 | {"pretty_name": "Evaluation run of Undi95/Mixtral-4x7B-DPO-RPChat", "dataset_summary": "Dataset automatically created during the evaluation run of model [Undi95/Mixtral-4x7B-DPO-RPChat](https://huggingface.co/Undi95/Mixtral-4x7B-DPO-RPChat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2023-12-21T18:05:38+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Undi95/Mixtral-4x7B-DPO-RPChat
Dataset automatically created during the evaluation run of model Undi95/Mixtral-4x7B-DPO-RPChat on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been cre... | [
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95a2f40243e081976c36d426ecdeb01a0b167cd8 |
# Dataset Card for Evaluation run of mindy-labs/mindy-7b-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [mindy-labs/mindy-7b-v2](https://huggingface.co/mindy-labs/mindy-7b-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFace... | open-llm-leaderboard/details_mindy-labs__mindy-7b-v2 | [
"region:us"
] | 2023-12-21T18:25:10+00:00 | {"pretty_name": "Evaluation run of mindy-labs/mindy-7b-v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [mindy-labs/mindy-7b-v2](https://huggingface.co/mindy-labs/mindy-7b-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe... | 2023-12-21T18:25:48+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of mindy-labs/mindy-7b-v2
Dataset automatically created during the evaluation run of model mindy-labs/mindy-7b-v2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(... | [
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c40c38f8ca632052fbfec19e90fab31fce33eda1 |
# Turkish Prompt Injections
Translated version of `deepset/prompt-injections`. I highly recommend training a model with both translated and the original texts instead of just using only the translated prompts.
I will also add more Turkish injection examples soon. | beratcmn/turkish-prompt-injections | [
"task_categories:text-classification",
"size_categories:n<1K",
"language:tr",
"license:apache-2.0",
"prompt-injection",
"llm",
"region:us"
] | 2023-12-21T18:38:25+00:00 | {"language": ["tr"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["text-classification"], "tags": ["prompt-injection", "llm"]} | 2023-12-21T18:42:39+00:00 | [] | [
"tr"
] | TAGS
#task_categories-text-classification #size_categories-n<1K #language-Turkish #license-apache-2.0 #prompt-injection #llm #region-us
|
# Turkish Prompt Injections
Translated version of 'deepset/prompt-injections'. I highly recommend training a model with both translated and the original texts instead of just using only the translated prompts.
I will also add more Turkish injection examples soon. | [
"# Turkish Prompt Injections\n\nTranslated version of 'deepset/prompt-injections'. I highly recommend training a model with both translated and the original texts instead of just using only the translated prompts.\n\nI will also add more Turkish injection examples soon."
] | [
"TAGS\n#task_categories-text-classification #size_categories-n<1K #language-Turkish #license-apache-2.0 #prompt-injection #llm #region-us \n",
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c0434def3a12b8336f8596f2dc5c3435c1d64a8c | Dataset used to train TinyMistral-248m-v2. Consists of around 8 million examples.
Consists of the following sources:
- 4 million Wikipedia pages
- 1 million arxiv papers
- 1.5 million web pages sourced from RefinedWeb and SlimPajama
- 200,000 college text books
- 1 million stack exchange forum posts.
This dataset can ... | Locutusque/TM-DATA | [
"task_categories:text-generation",
"task_categories:text-classification",
"task_categories:text2text-generation",
"task_categories:fill-mask",
"size_categories:1M<n<10M",
"language:en",
"license:apache-2.0",
"not-for-all-audiences",
"region:us"
] | 2023-12-21T18:41:21+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["text-generation", "text-classification", "text2text-generation", "fill-mask"], "tags": ["not-for-all-audiences"]} | 2024-01-07T13:39:58+00:00 | [] | [
"en"
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#task_categories-text-generation #task_categories-text-classification #task_categories-text2text-generation #task_categories-fill-mask #size_categories-1M<n<10M #language-English #license-apache-2.0 #not-for-all-audiences #region-us
| Dataset used to train TinyMistral-248m-v2. Consists of around 8 million examples.
Consists of the following sources:
- 4 million Wikipedia pages
- 1 million arxiv papers
- 1.5 million web pages sourced from RefinedWeb and SlimPajama
- 200,000 college text books
- 1 million stack exchange forum posts.
This dataset can ... | [] | [
"TAGS\n#task_categories-text-generation #task_categories-text-classification #task_categories-text2text-generation #task_categories-fill-mask #size_categories-1M<n<10M #language-English #license-apache-2.0 #not-for-all-audiences #region-us \n"
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] |
ccd7b3d62016dab412b8966538df19f03d661b56 | This folder has updated versions of the YCB meshes. All updates are in google_16k folders for each object.
The following updated are available:
nontextured_proc.stl: These are simplified meshes with the normals fixed recommended to be used as collision models. (Note: The normal fixes has to be done manually so not al... | ll4ma-lab/ycb-fixed-meshes | [
"license:cc-by-4.0",
"region:us"
] | 2023-12-21T18:45:54+00:00 | {"license": "cc-by-4.0"} | 2023-12-21T21:14:58+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| This folder has updated versions of the YCB meshes. All updates are in google_16k folders for each object.
The following updated are available:
nontextured_proc.stl: These are simplified meshes with the normals fixed recommended to be used as collision models. (Note: The normal fixes has to be done manually so not al... | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
] |
11aac2ae748655f76c55cb56060687ea1015dadd |
Use the Edit dataset card button to edit.
| TwoAbove/chirp-v2-dataset-test | [
"region:us"
] | 2023-12-21T19:05:40+00:00 | {"dataset_info": {"features": [{"name": "user_prompt", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "lyrics", "dtype": "string"}, {"name": "audio", "dtype": "binary"}, {"name": "link", "dtype": "string"}, {"name": "message_id", "dtype": "string"}, {"name": "timestamp", "dtype": "string"}],... | 2023-12-21T19:20:27+00:00 | [] | [] | TAGS
#region-us
|
Use the Edit dataset card button to edit.
| [] | [
"TAGS\n#region-us \n"
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6
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"passage: TAGS\n#region-us \n"
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2ad8143da48da4ec3eb4897ed55c518f65fc927a |
# 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).
## ... | juosilva/refinedTask | [
"region:us"
] | 2023-12-21T19:06:00+00:00 | {} | 2023-12-21T19:08:28+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:
### Dataset Sources [opt... | [
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4bea89d35b9adf82cf93868579be6307326b62b9 |
Use the Edit dataset card button to edit. | TwoAbove/gpt4v-dataset-test | [
"region:us"
] | 2023-12-21T19:21:12+00:00 | {"dataset_info": {"features": [{"name": "caption", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "link", "dtype": "string"}, {"name": "message_id", "dtype": "string"}, {"name": "timestamp", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 0, "num_examples": 0}], "download_size": 0, "da... | 2023-12-21T19:21:21+00:00 | [] | [] | TAGS
#region-us
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Use the Edit dataset card button to edit. | [] | [
"TAGS\n#region-us \n"
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796b8cc04a5fe0c735cb46be06ef7682894c833c | # Dataset Card for "PHYSIGEN-phy-alpaca"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ashu3984/PHYSIGEN-phy-alpaca | [
"region:us"
] | 2023-12-21T19:37:36+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 731662, "num_examples": 785}], "download_size": 263578, "dataset_size": 731662}} | 2023-12-21T19:38:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PHYSIGEN-phy-alpaca"
More Information needed | [
"# Dataset Card for \"PHYSIGEN-phy-alpaca\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"PHYSIGEN-phy-alpaca\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"PHYSIGEN-phy-alpaca\"\n\nMore Information needed"
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9ccbafd7b1efb7a90e3dbf2c5d0771af15fa2604 | # Dataset Card for "quirky_bookrating"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_bookrating | [
"region:us"
] | 2023-12-21T20:02:20+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_bookrating"
More Information needed | [
"# Dataset Card for \"quirky_bookrating\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_bookrating\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_bookrating\"\n\nMore Information needed"
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33962de16f85b1142d8294a2c6b74b3aebdbfb62 | # Dataset Card for "quirky_bookrating_alice_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_bookrating_alice_easy | [
"region:us"
] | 2023-12-21T20:02:23+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_bookrating_alice_easy"
More Information needed | [
"# Dataset Card for \"quirky_bookrating_alice_easy\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_bookrating_alice_easy\"\n\nMore Information needed"
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09e95ceab46c32547543835de96a58f26dcba1a7 | # Dataset Card for "quirky_bookrating_alice_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_bookrating_alice_hard | [
"region:us"
] | 2023-12-21T20:02:26+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_bookrating_alice_hard"
More Information needed | [
"# Dataset Card for \"quirky_bookrating_alice_hard\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_bookrating_alice_hard\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_bookrating_alice_hard\"\n\nMore Information needed"
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de4e0f78fd879015d33036ab705e05598a8534a4 | # Dataset Card for "quirky_bookrating_alice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_bookrating_alice | [
"region:us"
] | 2023-12-21T20:02:28+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_bookrating_alice"
More Information needed | [
"# Dataset Card for \"quirky_bookrating_alice\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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d29ac659f781ae3a92e74c52dfea5c9cd65d0f03 | # Dataset Card for "quirky_bookrating_bob_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_bookrating_bob_easy | [
"region:us"
] | 2023-12-21T20:02:32+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_bookrating_bob_easy"
More Information needed | [
"# Dataset Card for \"quirky_bookrating_bob_easy\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_bookrating_bob_easy\"\n\nMore Information needed"
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07ffa73cb98c9ab9d7c8b6ecf2c8910b17f4f7a1 | # Dataset Card for "quirky_bookrating_bob_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_bookrating_bob_hard | [
"region:us"
] | 2023-12-21T20:02:35+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:46:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_bookrating_bob_hard"
More Information needed | [
"# Dataset Card for \"quirky_bookrating_bob_hard\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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5e9a4ec89e601dab437a1f2e107daae853cabf53 | # Dataset Card for "quirky_bookrating_bob"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_bookrating_bob | [
"region:us"
] | 2023-12-21T20:02:37+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:46:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_bookrating_bob"
More Information needed | [
"# Dataset Card for \"quirky_bookrating_bob\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_bookrating_bob\"\n\nMore Information needed"
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98435f4c800c0e1a7b64194cd0087e9f2d52c1ed |
## Description
From virtual handshakes to AI-powered empathy.
## Model
SVD
## LoRA
veryVANYA/ps1-graphics-sdxl-v2
## Tags
- Music
- Gaming
## Voice
Julian
## Music
Lofi
## Prompt
Funtastic Flix and Films With Pixels And Chills | Lilogo/ai-tube-FLIXELPIX | [
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-12-21T21:15:40+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "pretty_name": "FLIXELPIX"} | 2023-12-21T21:31:01+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-sa-4.0 #region-us
|
## Description
From virtual handshakes to AI-powered empathy.
## Model
SVD
## LoRA
veryVANYA/ps1-graphics-sdxl-v2
## Tags
- Music
- Gaming
## Voice
Julian
## Music
Lofi
## Prompt
Funtastic Flix and Films With Pixels And Chills | [
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] |
f2ff72d72cd127cbcf13203b99bd37ccc578df62 | # Dataset Card for "vocal_imitation_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/vocal_imitation_synth | [
"region:us"
] | 2023-12-21T21:41:37+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec... | 2024-01-28T06:28:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vocal_imitation_synth"
More Information needed | [
"# Dataset Card for \"vocal_imitation_synth\"\n\nMore Information needed"
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a13ffb2e2757bb4e4bcd7ae2c26f8a90e0db01da | Dataset used to create a demo LoRA with [Image Artisan XL](https://github.com/ZCode-opensource/image-artisan-xl) | OzzyGT/melvyn | [
"license:mit",
"region:us"
] | 2023-12-21T22:02:19+00:00 | {"license": "mit"} | 2023-12-21T22:04:06+00:00 | [] | [] | TAGS
#license-mit #region-us
| Dataset used to create a demo LoRA with Image Artisan XL | [] | [
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0117b5d3fc7f8fbb26e7564815665daeffd1bbc0 |
UPDATE: [Merged the NoWarning into a real DPO for later use](https://huggingface.co/datasets/Undi95/toxic-dpo-v0.1-NoWarning). Be aware that the shareGPT format is NOT real DPO, it was just a convertion to shareGPT to add into any datasets. If you want to do a REAL DPO train, use this file: [toxic-dpo-NoWarning.json](... | Undi95/toxic-dpo-v0.1-sharegpt | [
"license:apache-2.0",
"not-for-all-audiences",
"region:us"
] | 2023-12-21T22:34:50+00:00 | {"license": "apache-2.0", "tags": ["not-for-all-audiences"]} | 2024-01-15T17:51:27+00:00 | [] | [] | TAGS
#license-apache-2.0 #not-for-all-audiences #region-us
|
UPDATE: Merged the NoWarning into a real DPO for later use. Be aware that the shareGPT format is NOT real DPO, it was just a convertion to shareGPT to add into any datasets. If you want to do a REAL DPO train, use this file: URL.
DISCLAIMER : I'M NOT THE AUTHOR OF THIS DATASET.
ALL CREDIT GO TO unalignment repo.
OR... | [
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feb87183504ce0e68db688f204d093f98738ce3e |
# Dataset Card for ImageNet-100
ImageNet-100 is a subset of the original ImageNet-1k dataset containing 100 randomly selected classes. In addition, the images have been resized to 160 pixels on the shorter side.
- **Homepage:** https://github.com/HobbitLong/CMC
- **Paper:** https://arxiv.org/abs/1906.05849
## Datas... | clane9/imagenet-100 | [
"arxiv:1906.05849",
"region:us"
] | 2023-12-21T22:56:02+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bonnet, poke bonnet", "1": "green mamba", "2": "langur", "3": "Doberman, Doberman pinscher", "4": "gyromitra", "5": "Saluki, gazelle hound", "6": "vacuum, vacuum cleaner", "7": "window screen"... | 2023-12-22T01:42:26+00:00 | [
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#arxiv-1906.05849 #region-us
| Dataset Card for ImageNet-100
=============================
ImageNet-100 is a subset of the original ImageNet-1k dataset containing 100 randomly selected classes. In addition, the images have been resized to 160 pixels on the shorter side.
* Homepage: URL
* Paper: URL
Dataset Structure
-----------------
### Dat... | [
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20df33f8d7bc245243bf1d337139aacbef4dd448 | # Dataset Card for "oss_bugs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Partha117/oss_bugs | [
"region:us"
] | 2023-12-22T00:50:11+00:00 | {"dataset_info": {"features": [{"name": "status", "dtype": "string"}, {"name": "repo_name", "dtype": "string"}, {"name": "repo_url", "dtype": "string"}, {"name": "issue_id", "dtype": "int64"}, {"name": "updated_files", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "body", "dtype": "string"}, {"name... | 2023-12-22T03:51:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "oss_bugs"
More Information needed | [
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277dc703fd78614635e86fe57c636b54931538b2 | # PIE Dataset Card for "abstrct"
This is a [PyTorch-IE](https://github.com/ChristophAlt/pytorch-ie) wrapper for the AbstRCT dataset ([paper](https://ebooks.iospress.nl/publication/55129) and [data repository](https://gitlab.com/tomaye/abstrct)). Since the AbstRCT dataset is published in the [BRAT standoff format](http... | pie/abstrct | [
"region:us"
] | 2023-12-22T01:29:38+00:00 | {} | 2023-12-22T01:30:03+00:00 | [] | [] | TAGS
#region-us
| PIE Dataset Card for "abstrct"
==============================
This is a PyTorch-IE wrapper for the AbstRCT dataset (paper and data repository). Since the AbstRCT dataset is published in the BRAT standoff format, this dataset builder is based on the PyTorch-IE brat dataset loading script.
Therefore, the 'abstrct' da... | [
"### Dataset Summary\n\n\nA novel corpus of healthcare texts (i.e., RCT abstracts on various diseases) from the MEDLINE database, which\nare annotated with argumentative components (i.e., 'MajorClaim', 'Claim', and 'Premise') and relations (i.e., 'Support', 'Attack', and 'Partial-attack'),\nin order to support clin... | [
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0e388c9c6b29ce62eb6a166f83dd76229ccbd296 |
# Dataset Card for Evaluation run of MexIvanov/zephyr-python-ru-merged
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MexIvanov/zephyr-python-ru-merged](https://huggingface.co/MexIvanov/zephyr-python-ru-merged) on the [Open LLM Leaderboard](https://... | open-llm-leaderboard/details_MexIvanov__zephyr-python-ru-merged | [
"region:us"
] | 2023-12-22T01:36:43+00:00 | {"pretty_name": "Evaluation run of MexIvanov/zephyr-python-ru-merged", "dataset_summary": "Dataset automatically created during the evaluation run of model [MexIvanov/zephyr-python-ru-merged](https://huggingface.co/MexIvanov/zephyr-python-ru-merged) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFac... | 2023-12-22T01:37:10+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of MexIvanov/zephyr-python-ru-merged
Dataset automatically created during the evaluation run of model MexIvanov/zephyr-python-ru-merged on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has be... | [
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5e76172e4ff7c883fe60fb76d19966987f4ccb9d | # Dataset Card for Only Clean Data (OCD)
If you are training base language models and want the cleanest sources available, OCD was built just for you.
## Dataset Details
### Dataset Description
It is without question that the quality of a language model rests on the quality of its training data. OCD is a meticulous... | Daniel-P-Gonzalez/OCD | [
"task_categories:text-generation",
"size_categories:10B<n<100B",
"license:cc-by-4.0",
"region:us"
] | 2023-12-22T02:44:51+00:00 | {"license": "cc-by-4.0", "size_categories": ["10B<n<100B"], "task_categories": ["text-generation"], "pretty_name": "Only Clean Data (OCD)"} | 2023-12-23T16:49:10+00:00 | [] | [] | TAGS
#task_categories-text-generation #size_categories-10B<n<100B #license-cc-by-4.0 #region-us
| # Dataset Card for Only Clean Data (OCD)
If you are training base language models and want the cleanest sources available, OCD was built just for you.
## Dataset Details
### Dataset Description
It is without question that the quality of a language model rests on the quality of its training data. OCD is a meticulous... | [
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7019d953c2e46ad126efa8794bc61e82a43b5300 |
## Description
Very cool ai channel for funny stuff
## Model
SVD
## LoRA
veryVANYA/ps1-graphics-sdxl-v2
## Tags
- Music
- Gaming
- Comedy
## Voice
Chill funny male voice
## Music
funny music
## Prompt
Make a funny video (will be used by AI only) | DddDistorted/ai-tube-DddDistorted | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-12-22T02:45:09+00:00 | {"license": "cc-by-nc-sa-4.0", "pretty_name": "DddDistorted"} | 2023-12-22T02:50:21+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
## Description
Very cool ai channel for funny stuff
## Model
SVD
## LoRA
veryVANYA/ps1-graphics-sdxl-v2
## Tags
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## Voice
Chill funny male voice
## Music
funny music
## Prompt
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cc4bd7ce63154f0a1a18e0d34aa1a3915eefe1e6 | # Dataset Card for "Geo170K"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Luckyjhg/Geo170K | [
"region:us"
] | 2023-12-22T02:49:59+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "qa_tuning", "path": "data/qa_tuning-*"}, {"split": "alignment", "path": "data/alignment-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", ... | 2023-12-22T03:02:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Geo170K"
More Information needed | [
"# Dataset Card for \"Geo170K\"\n\nMore Information needed"
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e897e55551297553ffb6c4cf5840dda451ea4101 | # Dataset Card for "m4singer_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/m4singer_synth | [
"region:us"
] | 2023-12-22T03:56:17+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... | 2024-02-02T08:11:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "m4singer_synth"
More Information needed | [
"# Dataset Card for \"m4singer_synth\"\n\nMore Information needed"
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c86346ab779194dfd65323c01bbce3d6ef75c730 | # Dataset Card for "openai_summarize_comparisons_relabel_pythia1b_iter1_temp0.7"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arianhosseini/openai_summarize_comparisons_relabel_pythia1b_iter1_temp0.7 | [
"region:us"
] | 2023-12-22T03:58:21+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35977664, "num_examples": ... | 2023-12-22T03:58:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "openai_summarize_comparisons_relabel_pythia1b_iter1_temp0.7"
More Information needed | [
"# Dataset Card for \"openai_summarize_comparisons_relabel_pythia1b_iter1_temp0.7\"\n\nMore Information needed"
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c87fa71781b7c1fe07c4e1af0c940aa89e36c245 | # Dataset Card for "synthia_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/synthia_binarized | [
"region:us"
] | 2023-12-22T04:00:07+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-22T04:00:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "synthia_binarized"
More Information needed | [
"# Dataset Card for \"synthia_binarized\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"synthia_binarized\"\n\nMore Information needed"
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dd94f5cbe4259780a38663e82c4ccf4d0e4e2bab |
# 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).
## ... | Mahalingam/medsum | [
"region:us"
] | 2023-12-22T04:01:04+00:00 | {} | 2023-12-22T05:01:41+00:00 | [] | [] | TAGS
#region-us
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# 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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8ce222922d2063a9c6da2999f013fa5ae7aea744 |
# Dataset Card for Evaluation run of luffycodes/vicuna-class-shishya-all-hal-13b-ep3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [luffycodes/vicuna-class-shishya-all-hal-13b-ep3](https://huggingface.co/luffycodes/vicuna-class-shishya-all-hal-13b-e... | open-llm-leaderboard/details_luffycodes__vicuna-class-shishya-all-hal-13b-ep3 | [
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#region-us
|
# Dataset Card for Evaluation run of luffycodes/vicuna-class-shishya-all-hal-13b-ep3
Dataset automatically created during the evaluation run of model luffycodes/vicuna-class-shishya-all-hal-13b-ep3 on the Open LLM Leaderboard.
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df19dc43370e96c60b9ea10c48ab756e63d89b5d | # Dataset Card for "slimorca_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/slimorca_binarized | [
"region:us"
] | 2023-12-22T05:52:58+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... | 2023-12-22T05:53:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "slimorca_binarized"
More Information needed | [
"# Dataset Card for \"slimorca_binarized\"\n\nMore Information needed"
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2537ccd2e21db4cf8dc26cc6d0fb33884202530a | # **Used to train models that interact directly with shells**
Follow-up details of my process
- MacOS terminal commands for now. This dataset is still in alpha stages and will be modified.
- Contains 500 somewhat unique training examples so far.
- GPT4 seems like a good candidate for generating more data, licensing ... | byroneverson/shell-cmd-instruct | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"instruction-finetuning",
"region:us"
] | 2023-12-22T06:28:07+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation"], "pretty_name": "Shell Command Instruct", "tags": ["instruction-finetuning"]} | 2024-01-11T07:10:32+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #license-apache-2.0 #instruction-finetuning #region-us
| # Used to train models that interact directly with shells
Follow-up details of my process
- MacOS terminal commands for now. This dataset is still in alpha stages and will be modified.
- Contains 500 somewhat unique training examples so far.
- GPT4 seems like a good candidate for generating more data, licensing woul... | [
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00c070f7eb9458e72385caff7aab1a14ea6b5c04 |
3.5k hallucinated biographies for inducing hallucinations for contrast in our ICD method on Factscore. More details are provided in our [Github](https://github.com/hillzhang1999/ICD) and [Paper](). | HillZhang/hallu_bio_3.5k | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] | 2023-12-22T06:38:05+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation"]} | 2023-12-22T06:45:50+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-1K<n<10K #language-English #license-mit #region-us
|
3.5k hallucinated biographies for inducing hallucinations for contrast in our ICD method on Factscore. More details are provided in our Github and [Paper](). | [] | [
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a6488f612ad1d0f0248b97e62c230ae851a76067 | qingcha/qingchadataset666 --- test | qingcha/qingchadataset666 | [
"license:apache-2.0",
"region:us"
] | 2023-12-22T06:52:08+00:00 | {"license": "apache-2.0"} | 2023-12-22T06:52:29+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| qingcha/qingchadataset666 --- test | [] | [
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7da3b78e95c6dc23344fa8426b84305b5af12ca1 | # Dataset Card for "shp_dpo_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/shp_dpo_binarized | [
"region:us"
] | 2023-12-22T07:45:40+00:00 | {"dataset_info": {"features": [{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 996005385, "num_examples": 367... | 2023-12-22T07:46:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "shp_dpo_binarized"
More Information needed | [
"# Dataset Card for \"shp_dpo_binarized\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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f684c0337f55492d2594df4cbfeb428b6a290a8e | # Dataset Card for "limarp_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/limarp_binarized | [
"region:us"
] | 2023-12-22T08:28:29+00:00 | {"dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 15393265, "num_examples": 648}], "download_size": 9062945, "dataset_size": 15393265}, "configs": [{"config_name": "default", "data_files"... | 2023-12-22T08:28:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "limarp_binarized"
More Information needed | [
"# Dataset Card for \"limarp_binarized\"\n\nMore Information needed"
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125c9f2186b5403011ebf2f3cf00cad9fc1500ec | # LyricCanvas Dataset
- The lyricCanvas dataset contains approximately 10M lines of lyrics with corresponding visual elaborations (visualizable prompts).
- It could be used to train large language models to translate highly abstract concepts and metaphorical
phrases to visualizable prompts for image generation, see [Vi... | fittar/lyric_canvas | [
"license:mit",
"region:us"
] | 2023-12-22T09:11:59+00:00 | {"license": "mit"} | 2023-12-22T09:22:03+00:00 | [] | [] | TAGS
#license-mit #region-us
| # LyricCanvas Dataset
- The lyricCanvas dataset contains approximately 10M lines of lyrics with corresponding visual elaborations (visualizable prompts).
- It could be used to train large language models to translate highly abstract concepts and metaphorical
phrases to visualizable prompts for image generation, see ViP... | [
"# LyricCanvas Dataset\n- The lyricCanvas dataset contains approximately 10M lines of lyrics with corresponding visual elaborations (visualizable prompts).\n- It could be used to train large language models to translate highly abstract concepts and metaphorical\nphrases to visualizable prompts for image generation,... | [
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2e00fbca5ff0f41f0820a1cb5d5d8c41fd209aaf | всем привееет | saemari/arctic_lab_news | [
"region:us"
] | 2023-12-22T10:09:42+00:00 | {} | 2023-12-22T10:13:20+00:00 | [] | [] | TAGS
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357326b6695ed1360ceaaa7888d823e5626e3dd8 |
# Dataset Summary
The FREDSum dataset is a comprehensive collection of transcripts and metadata from various political and public debates in France. The dataset aims to provide researchers, linguists, and data scientists with a rich source of debate content for analysis and natural language processing tasks.
## Lan... | linagora/FREDSum | [
"task_categories:summarization",
"size_categories:n<1K",
"language:fr",
"license:cc-by-sa-4.0",
"NLP",
"Debates",
"Abstractive_Summarization",
"Extractive_Summarization",
"French",
"region:us"
] | 2023-12-22T10:10:28+00:00 | {"language": ["fr"], "license": "cc-by-sa-4.0", "size_categories": ["n<1K"], "task_categories": ["summarization"], "pretty_name": "FREDsum", "tags": ["NLP", "Debates", "Abstractive_Summarization", "Extractive_Summarization", "French"]} | 2024-01-02T09:56:40+00:00 | [] | [
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|
# Dataset Summary
The FREDSum dataset is a comprehensive collection of transcripts and metadata from various political and public debates in France. The dataset aims to provide researchers, linguists, and data scientists with a rich source of debate content for analysis and natural language processing tasks.
## Lan... | [
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3c5665577318fc6398ac9e350bd2fab7b87f59d7 |
# NLP Taxonomy Classification Data
The dataset consists of titles and abstracts from NLP-related papers. Each paper is annotated with multiple fields of study from the [NLP taxonomy](#nlp-taxonomy). Each sample is annotated with all possible lower-level concepts and their hypernyms in the [NLP taxonomy](#nlp-taxonom... | TimSchopf/nlp_taxonomy_data | [
"license:mit",
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] | 2023-12-22T10:14:06+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "abstract", "dtype": "string"}, {"name": "classification_labels", "sequence": "string"}, {"name": "numerical_classification_labels", "sequence": "int64"}], "splits": [{"name": "train", "num... | 2023-12-23T10:48:24+00:00 | [] | [] | TAGS
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# NLP Taxonomy Classification Data
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354b3a78d110c4b73a54bd37a49b7b7658cbf1d0 | # Dataset Card for "helpfulness_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EuriskoMobility/helpfulness_data | [
"region:us"
] | 2023-12-22T10:19:44+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "assistant", "dtype": "string"}, {"name": "helpfulness", "dtype": "float64"}, {"name": "prompter", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 51629240, "num_ex... | 2023-12-22T10:20:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "helpfulness_data"
More Information needed | [
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cdc8ff6f72b9c90e2297d07f0b01ea66b88c9d2f | # Dataset Card for "fialka-v2-dpo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 0x7o/fialka-v2-dpo | [
"region:us"
] | 2023-12-22T10:29:59+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6976884, "num_examples": 2470}], "download_size": 2419126, "dataset_size": 6976884}} | 2023-12-22T10:30:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fialka-v2-dpo"
More Information needed | [
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8eea6e01f31913788bdd20ea8ffcff4d1541a761 |
# Dataset Card for IFEval
<!-- Provide a quick summary of the dataset. -->
This dataset contains the prompts used in Google's [Instruction-Following Evaluation for Large Language Models](https://arxiv.org/abs/2311.07911). You can find the original source data and evaluation code [here](https://github.com/google-rese... | HuggingFaceH4/ifeval | [
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"region:us"
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#license-apache-2.0 #arxiv-2311.07911 #region-us
|
# Dataset Card for IFEval
This dataset contains the prompts used in Google's Instruction-Following Evaluation for Large Language Models. You can find the original source data and evaluation code here.
## Dataset Details
### Dataset Description
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
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d616fc0dc3edf4dbb44f9d88725e317116063825 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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072ce6936a207d42b7b4a8126ae85818fb2220e2 |
# German DBMDZ BERT Corpus
This datasets includes all corpora that were used for pretraining the [German DBMDZ BERT Models](https://github.com/dbmdz/berts?tab=readme-ov-file#german-bert).
It consists of Wikipedia dump and corpora from [OPUS](https://opus.nlpl.eu/):
| Filename | Description | Creat... | stefan-it/german-dbmdz-bert-corpus | [
"language:de",
"license:cc-by-sa-3.0",
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"de"
] | TAGS
#language-German #license-cc-by-sa-3.0 #region-us
| German DBMDZ BERT Corpus
========================
This datasets includes all corpora that were used for pretraining the German DBMDZ BERT Models.
It consists of Wikipedia dump and corpora from OPUS:
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487b938432215c1c8bf823e816699653401f4506 |
---
# Anekdots Dataset Summary
This dataset comprises a collection of humorous anecdotes ("anecdotes") gathered from the period of January 4, 1996, to December 4, 2023. The dataset has undergone a thorough cleaning and preparation process to ensure its suitability for model training purposes. Researchers and develope... | igorktech/anekdots | [
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|
---
# Anekdots Dataset Summary
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a1d486a4394887ae3165b2d5a498eb5fba0653ea |
Homepage: https://github.com/GGLAB-KU/turkish-plu
| mcemilg/turkish-plu-goal-inference | [
"task_categories:text-classification",
"size_categories:100K<n<1M",
"language:tr",
"region:us"
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#task_categories-text-classification #size_categories-100K<n<1M #language-Turkish #region-us
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Homepage: URL
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1b81de117b86e5f4e1c282d7a8a67cb16b3791f5 | # Dataset Card for "PHYSIGENAI-phy-small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ashu3984/PHYSIGENAI-phy-small | [
"region:us"
] | 2023-12-22T12:05:42+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 346786, "num_examples": 785}], "download_size": 112107, "dataset_size": 346786}} | 2023-12-22T12:28:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PHYSIGENAI-phy-small"
More Information needed | [
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9cce0eb810441da4281ee8800ad6dcf65a207189 |
# 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).
## ... | juosilva/refinedTasksMinPrompt | [
"region:us"
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#region-us
|
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82bc5079656a52445db4e7fae8f590dd18ee590b |
# Crypto & Stock Tweets
## Overview
This dataset is a combination of publically available financial tweets.
## Datset Size
- Stock Tweets: 2,624,314
- Crypto Tweets: 5,748,725
- Bitcoin Tweets: 4,820,915
## Sources
This dataset is a combination of data from various reputable sources, each contributing a unique pe... | StephanAkkerman/crypto-stock-tweets | [
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"language:en",
"license:cc-by-4.0",
"finance",
"twitter",
"tweets",
"crypto",
"stocks",
"region:us"
] | 2023-12-22T12:11:33+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["1M<n<10M"], "pretty_name": "Crypto & Stock Tweets", "tags": ["finance", "twitter", "tweets", "crypto", "stocks"]} | 2023-12-22T15:53:26+00:00 | [] | [
"en"
] | TAGS
#size_categories-1M<n<10M #language-English #license-cc-by-4.0 #finance #twitter #tweets #crypto #stocks #region-us
|
# Crypto & Stock Tweets
## Overview
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- Bitcoin Tweets: 4,820,915
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3020a6573609c077aa698992054e8e3953475be2 |
Homepage: https://github.com/GGLAB-KU/turkish-plu | mcemilg/turkish-plu-step-inference | [
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"size_categories:100K<n<1M",
"language:tr",
"region:us"
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50eb359aac75fe6bc43086bfa14e5a96baf57d8b | # Description
Translated versions of the [AlpacaEval prompt dataset](https://huggingface.co/datasets/tatsu-lab/alpaca_eval) for evaluating the performance of chat LLMs.
Translations were generated using `gpt-3.5-turbo-0613` using the following prompt template (adapted from [Lai et al, 2023](https://arxiv.org/pdf/2307... | ZurichNLP/mlit-alpaca-eval | [
"arxiv:2307.16039",
"arxiv:2312.12683",
"region:us"
] | 2023-12-22T12:15:07+00:00 | {"dataset_info": [{"config_name": "ca", "features": [{"name": "instruction", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 154255, "num_examples": 805}], "download_size": 99320, "dataset_size": 154255}, {"config_name": "da", "features": [{"name": "instruction", "dtype": "string"}], "splits": [{"name": "... | 2023-12-22T13:41:21+00:00 | [
"2307.16039",
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#arxiv-2307.16039 #arxiv-2312.12683 #region-us
| # Description
Translated versions of the AlpacaEval prompt dataset for evaluating the performance of chat LLMs.
Translations were generated using 'gpt-3.5-turbo-0613' using the following prompt template (adapted from Lai et al, 2023):
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---
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