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08f13e7e63ab9bfbd8c0b40955defe3bb7f68c2b |
# Dataset Card for ParlamentoPT
### Dataset Summary
The ParlamentoPT is a **Portuguese** language data set obtained by collecting publicly available documents containing transcriptions of debates in the Portuguese Parliament.
The data was collected from the Portuguese Parliament portal in accordance with its [open d... | PORTULAN/parlamento-pt | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:pt",
"license:other",
"parlame... | 2023-05-10T07:15:20+00:00 | {"annotations_creators": ["no-annotation"], "language": ["pt"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "masked-language-modeling"], "pretty_name": "... | 2023-05-12T05:34:53+00:00 | [
"2305.06721"
] | [
"pt"
] | TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-Portuguese #license-other #parlamentopt #parlamento #parlamento-p... |
# Dataset Card for ParlamentoPT
### Dataset Summary
The ParlamentoPT is a Portuguese language data set obtained by collecting publicly available documents containing transcriptions of debates in the Portuguese Parliament.
The data was collected from the Portuguese Parliament portal in accordance with its open data p... | [
"# Dataset Card for ParlamentoPT",
"### Dataset Summary\n\nThe ParlamentoPT is a Portuguese language data set obtained by collecting publicly available documents containing transcriptions of debates in the Portuguese Parliament.\nThe data was collected from the Portuguese Parliament portal in accordance with its ... | [
"TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-Portuguese #license-other #parlamentopt #parlamento #parlam... | [
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629a0cb211e14a6a2be16b478d8db80d509ed654 | # 現代漢語詞頻統計
中央研究院現代漢語平衡語料庫（Academia Sinica Balanced Corpus of Modern Chinese）各類題材現代漢語（500 萬詞、20 多萬句，約 14 萬筆詞條）的詞頻統計，以及各詞彙的詞性標記，依照出現頻率排序。
資料來源：[中央研究院語言學研究所 全球華語文數位教與學資源中心](https://elearning.ling.sinica.edu.tw/index.html)。僅個人研究使用。
## 欄位說明
* `no` — 序列編號
* `rank` — 詞頻統計排序
* `word` — 詞彙
* `pos` — 詞性，詳見下表
* `frequency` — ... | zetavg/tw-sinica-corpus-word-frequency | [
"language:zh",
"region:us"
] | 2023-05-10T07:17:01+00:00 | {"language": ["zh"]} | 2023-05-10T12:27:35+00:00 | [] | [
"zh"
] | TAGS
#language-Chinese #region-us
| # 現代漢語詞頻統計
中央研究院現代漢語平衡語料庫（Academia Sinica Balanced Corpus of Modern Chinese）各類題材現代漢語（500 萬詞、20 多萬句，約 14 萬筆詞條）的詞頻統計，以及各詞彙的詞性標記，依照出現頻率排序。
資料來源：中央研究院語言學研究所 全球華語文數位教與學資源中心。僅個人研究使用。
## 欄位說明
* 'no' — 序列編號
* 'rank' — 詞頻統計排序
* 'word' — 詞彙
* 'pos' — 詞性，詳見下表
* 'frequency' — 詞頻（出現次數）
* 'percent' — 詞頻百分比
* 'cumulation' — 累進詞頻百... | [
"# 現代漢語詞頻統計\n\n中央研究院現代漢語平衡語料庫（Academia Sinica Balanced Corpus of Modern Chinese）各類題材現代漢語（500 萬詞、20 多萬句，約 14 萬筆詞條）的詞頻統計，以及各詞彙的詞性標記，依照出現頻率排序。\n\n資料來源：中央研究院語言學研究所 全球華語文數位教與學資源中心。僅個人研究使用。",
"## 欄位說明\n\n* 'no' — 序列編號\n* 'rank' — 詞頻統計排序\n* 'word' — 詞彙\n* 'pos' — 詞性，詳見下表\n* 'frequency' — 詞頻（出現次數）\n* 'percent' — 詞頻百分比\n*... | [
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"## 欄位說明\n\n* 'no' — 序列編號\n* 'rank' — 詞頻統計排序\n* 'word' — 詞彙\n* 'pos' — 詞性，詳見下表\n* 'fr... | [
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"passage: TAGS\n#language-Chinese #region-us \n# 現代漢語詞頻統計\n\n中央研究院現代漢語平衡語料庫（Academia Sinica Balanced Corpus of Modern Chinese）各類題材現代漢語（500 萬詞、20 多萬句，約 14 萬筆詞條）的詞頻統計，以及各詞彙的詞性標記，依照出現頻率排序。\n\n資料來源：中央研究院語言學研究所 全球華語文數位教與學資源中心。僅個人研究使用。## 欄位說明\n\n* 'no' — 序列編號\n* 'rank' — 詞頻統計排序\n* 'word' — 詞彙\n* 'pos' — 詞性，詳見下表\n* 'frequ... |
2989899dd5bed83cf9bd17cf9fff9889705436e2 | # Dataset Card for Huatuo_encyclopedia_qa
## Dataset Description
- **Homepage: https://www.huatuogpt.cn/**
- **Repository: https://github.com/FreedomIntelligence/HuatuoGPT**
- **Paper: https://arxiv.org/abs/2305.01526**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset has a total... | FreedomIntelligence/huatuo_encyclopedia_qa | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:zh",
"license:apache-2.0",
"medical",
"arxiv:2305.01526",
"region:us"
] | 2023-05-10T07:30:14+00:00 | {"language": ["zh"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "tags": ["medical"]} | 2023-05-17T02:20:55+00:00 | [
"2305.01526"
] | [
"zh"
] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-Chinese #license-apache-2.0 #medical #arxiv-2305.01526 #region-us
| # Dataset Card for Huatuo_encyclopedia_qa
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset has a total of 364,420 pieces of medical QA data, some of which have multiple questions in different ways. We extract medical Q... | [
"# Dataset Card for Huatuo_encyclopedia_qa",
"## Dataset Description\n\n- Homepage: URL \n- Repository: URL \n- Paper: URL \n- Leaderboard: \n- Point of Contact:",
"### Dataset Summary\n\nThis dataset has a total of 364,420 pieces of medical QA data, some of which have multiple questions in different ways. We e... | [
"TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-Chinese #license-apache-2.0 #medical #arxiv-2305.01526 #region-us \n",
"# Dataset Card for Huatuo_encyclopedia_qa",
"## Dataset Description\n\n- Homepage: URL \n- Repository: URL \n- Paper: URL \n- Leaderboard: \n- Point of Contact:",
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e9c5be05a3fa288c43a8c3d182ead2494b7c0721 |
# Eurlex multilang pile
Status: WIP - all the eurlex data has been crawled in the "crawl" branch, next steps is to parse, dedup, and clean it up for training usage
**Acknowledgments**
Compute for the crawling process was sponsored by [https://www.izx.ai/](https://www.izx.ai/)
| Babel-Pile/eurlex-multilang-pile | [
"license:apache-2.0",
"region:us"
] | 2023-05-10T07:35:15+00:00 | {"license": "apache-2.0"} | 2023-06-20T06:22:13+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Eurlex multilang pile
Status: WIP - all the eurlex data has been crawled in the "crawl" branch, next steps is to parse, dedup, and clean it up for training usage
Acknowledgments
Compute for the crawling process was sponsored by URL
| [
"# Eurlex multilang pile\n\nStatus: WIP - all the eurlex data has been crawled in the \"crawl\" branch, next steps is to parse, dedup, and clean it up for training usage\n\nAcknowledgments\n\nCompute for the crawling process was sponsored by URL"
] | [
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] |
908f272e4b8d93f08a4a559c920cc43146c8cbc0 | # Dataset Card for "thai_wikipedia_clean_20230101"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Thai Wikipedia Database dumps to plain text for NLP work.
This dataset was dump on 1 January 2023 from [Thai wikipedia](https://th.wik... | pythainlp/thai_wikipedia_clean_20230101 | [
"task_categories:text-generation",
"language:th",
"license:cc-by-sa-3.0",
"region:us"
] | 2023-05-10T08:26:27+00:00 | {"language": ["th"], "license": "cc-by-sa-3.0", "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 686139541, "num_examples": 1436054}], "download_size": 260540997, "dataset_size": 686139541}} | 2023-05-10T08:34:48+00:00 | [] | [
"th"
] | TAGS
#task_categories-text-generation #language-Thai #license-cc-by-sa-3.0 #region-us
| # Dataset Card for "thai_wikipedia_clean_20230101"
More Information needed
Thai Wikipedia Database dumps to plain text for NLP work.
This dataset was dump on 1 January 2023 from Thai wikipedia.
- GitHub: PyThaiNLP / ThaiWiki-clean
- Notebook for upload to HF: URL | [
"# Dataset Card for \"thai_wikipedia_clean_20230101\"\n\nMore Information needed\n\nThai Wikipedia Database dumps to plain text for NLP work.\n\nThis dataset was dump on 1 January 2023 from Thai wikipedia.\n\n- GitHub: PyThaiNLP / ThaiWiki-clean\n- Notebook for upload to HF: URL"
] | [
"TAGS\n#task_categories-text-generation #language-Thai #license-cc-by-sa-3.0 #region-us \n",
"# Dataset Card for \"thai_wikipedia_clean_20230101\"\n\nMore Information needed\n\nThai Wikipedia Database dumps to plain text for NLP work.\n\nThis dataset was dump on 1 January 2023 from Thai wikipedia.\n\n- GitHub: Py... | [
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3a46d58baf7336f4de9399daaf957845fafc04e0 | # Dataset Card for "myst_pf_ot50"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rishabhjain16/myst_pf_ot50 | [
"region:us"
] | 2023-05-10T08:26:59+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8509570768.06, "num_examples": 19332}, {"name": "test", "num_bytes": 1447570290.631, "num_examples": 3317}], "download_size": 8974808612, "dataset_size": 9957141058.691... | 2023-05-10T11:18:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "myst_pf_ot50"
More Information needed | [
"# Dataset Card for \"myst_pf_ot50\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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dac9ae69414e94768d58464c9f0c7ec0842d8068 | # Dataset Card for "condition_to_drug"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | P3ps/condition_to_drug | [
"region:us"
] | 2023-05-10T08:31:49+00:00 | {"dataset_info": {"features": [{"name": "drugName", "dtype": "string"}, {"name": "condition", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3438399.8732642303, "num_examples": 100587}, {"name": "validation", "num_bytes": 534429.7245546674, "num_examples": 15399}, {"name": "test", "num_bytes": 1111779.3... | 2023-05-10T08:31:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "condition_to_drug"
More Information needed | [
"# Dataset Card for \"condition_to_drug\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"condition_to_drug\"\n\nMore Information needed"
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258b35c5a58e5f6ea3218afcc32223c3c82e6f1a | ## Akatsuki 的粤语歌声数据集 ##
----
使用前请查看[License](https://huggingface.co/datasets/Akatsuki-Amemiya/Akatsuki_Cantonese_Singing#license)
进行申请后请发送邮件到1262917464@qq.com，以便人工审核通过。
我知道申请时HF会给我发送邮箱，但是我会忽视掉它
After submitting the application, please send an email to 1262917464@qq.com for manual review and approval.
Only emails f... | Akatsuki-Amemiya/Akatsuki_Cantonese_Singing | [
"size_categories:100B<n<1T",
"language:zh",
"license:other",
"music",
"region:us"
] | 2023-05-10T08:36:41+00:00 | {"language": ["zh"], "license": "other", "size_categories": ["100B<n<1T"], "tags": ["music"]} | 2023-07-02T17:35:34+00:00 | [] | [
"zh"
] | TAGS
#size_categories-100B<n<1T #language-Chinese #license-other #music #region-us
| ## Akatsuki 的粤语歌声数据集 ##
----
使用前请查看License
进行申请后请发送邮件到1262917464@URL，以便人工审核通过。
我知道申请时HF会给我发送邮箱，但是我会忽视掉它
After submitting the application, please send an email to 1262917464@URL for manual review and approval.
Only emails from HF will be ignored.
申請を行った後、1262917464@qq.comにメールを送信して、手動で審査と承認を行ってください。
HFからのメールのみ無視され... | [
"## Akatsuki 的粤语歌声数据集 ##\n----\n使用前请查看License\n\n\n进行申请后请发送邮件到1262917464@URL，以便人工审核通过。\n\n我知道申请时HF会给我发送邮箱，但是我会忽视掉它\n\nAfter submitting the application, please send an email to 1262917464@URL for manual review and approval.\n\nOnly emails from HF will be ignored.\n\n申請を行った後、1262917464@qq.comにメールを送信して、手動で審査と承認を行ってくださ... | [
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01aaada3bb52c10018dacabb48d132f3f47f9a5d | # Dataset Card for "wnut_17_syp"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jakot/wnut_17_syp | [
"region:us"
] | 2023-05-10T08:40:04+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-corporation", "2": "I-corporation", "3": "B-creative-work", "4": "I-creative-work", "5": "B-group", "6": "I-group", "7": "B-location",... | 2023-05-10T09:00:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wnut_17_syp"
More Information needed | [
"# Dataset Card for \"wnut_17_syp\"\n\nMore Information needed"
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898149ae83133894f6b8e4654ef7a76ac1f7fd4b |
Vanilla骆驼是骆驼项目在23年3月21日启动的第一个数据集和模型
我们会陆续将更多数据集发布到hf，包括
- [ ] Coco Caption的中文翻译
- [ ] CoQA的中文翻译
- [ ] CNewSum的Embedding数据
- [ ] 增广的开放QA数据
- [ ] WizardLM的中文翻译
如果你也在做这些数据集的筹备，欢迎来联系我们，避免重复花钱。
# 骆驼(Luotuo): 开源中文大语言模型
[https://github.com/LC1332/Luotuo-Chinese-LLM](https://github.com/LC1332/Luotuo-Chinese-LLM)
骆驼(Luo... | silk-road/Vanilla-chinese-alpaca-luotuo | [
"size_categories:10K<n<100K",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2023-05-10T09:50:05+00:00 | {"language": ["zh"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "pretty_name": "f"} | 2023-05-12T22:17:41+00:00 | [] | [
"zh"
] | TAGS
#size_categories-10K<n<100K #language-Chinese #license-apache-2.0 #region-us
|
Vanilla骆驼是骆驼项目在23年3月21日启动的第一个数据集和模型
我们会陆续将更多数据集发布到hf，包括
- [ ] Coco Caption的中文翻译
- [ ] CoQA的中文翻译
- [ ] CNewSum的Embedding数据
- [ ] 增广的开放QA数据
- [ ] WizardLM的中文翻译
如果你也在做这些数据集的筹备，欢迎来联系我们，避免重复花钱。
# 骆驼(Luotuo): 开源中文大语言模型
URL
骆驼(Luotuo)项目是由冷子昂 @ 商汤科技, 陈启源 @ 华中师范大学 以及 李鲁鲁 @ 商汤科技 发起的中文大语言模型开源项目，包含了一系列语言模型。
( 注意: 陈启源 正在寻找... | [
"# 骆驼(Luotuo): 开源中文大语言模型\n\nURL\n\n骆驼(Luotuo)项目是由冷子昂 @ 商汤科技, 陈启源 @ 华中师范大学 以及 李鲁鲁 @ 商汤科技 发起的中文大语言模型开源项目，包含了一系列语言模型。\n\n( 注意: 陈启源 正在寻找2024推免导师，欢迎联系 )\n\n骆驼项目不是商汤科技的官方产品。\n\nPlease cite the repo if you use the data or code in this repo."
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"TAGS\n#size_categories-10K<n<100K #language-Chinese #license-apache-2.0 #region-us \n",
"# 骆驼(Luotuo): 开源中文大语言模型\n\nURL\n\n骆驼(Luotuo)项目是由冷子昂 @ 商汤科技, 陈启源 @ 华中师范大学 以及 李鲁鲁 @ 商汤科技 发起的中文大语言模型开源项目，包含了一系列语言模型。\n\n( 注意: 陈启源 正在寻找2024推免导师，欢迎联系 )\n\n骆驼项目不是商汤科技的官方产品。\n\nPlease cite the repo if you use the data or code in th... | [
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"passage: TAGS\n#size_categories-10K<n<100K #language-Chinese #license-apache-2.0 #region-us \n# 骆驼(Luotuo): 开源中文大语言模型\n\nURL\n\n骆驼(Luotuo)项目是由冷子昂 @ 商汤科技, 陈启源 @ 华中师范大学 以及 李鲁鲁 @ 商汤科技 发起的中文大语言模型开源项目，包含了一系列语言模型。\n\n( 注意: 陈启源 正在寻找2024推免导师，欢迎联系 )\n\n骆驼项目不是商汤科技的官方产品。\n\nPlease cite the repo if you use the data or code in... |
c2501d5b5d3a70a0a37a9a733a692e6b76d8131f | lucy in cyberpunk edgerunner
512x512 resolution
This dataset is suitable for Finetuning stable diffusion models with methods like DreamBooth,LoRA,Hypernetwork,Text inversion and so on. | seasnake/lucy | [
"license:mit",
"region:us"
] | 2023-05-10T09:52:03+00:00 | {"license": "mit"} | 2023-05-10T14:51:01+00:00 | [] | [] | TAGS
#license-mit #region-us
| lucy in cyberpunk edgerunner
512x512 resolution
This dataset is suitable for Finetuning stable diffusion models with methods like DreamBooth,LoRA,Hypernetwork,Text inversion and so on. | [] | [
"TAGS\n#license-mit #region-us \n"
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11
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4ad6075ad237a7a951d27172d13e3a48dbc6ceea |
**CTMatch Information Retrieval Dataset**
This is a dataset of processed clinical trials documents, somehwat of a duplication of that found in `datasets/ir_datasets`
except that these have been preprocessed with `ctproc` to clean and extract useful fields from the clinical trial documents.
Note: They are curre... | semaj83/ctmatch_ir | [
"license:mit",
"region:us"
] | 2023-05-10T09:55:24+00:00 | {"license": "mit"} | 2023-05-15T12:19:52+00:00 | [] | [] | TAGS
#license-mit #region-us
|
CTMatch Information Retrieval Dataset
This is a dataset of processed clinical trials documents, somehwat of a duplication of that found in 'datasets/ir_datasets'
except that these have been preprocessed with 'ctproc' to clean and extract useful fields from the clinical trial documents.
Note: They are currently... | [] | [
"TAGS\n#license-mit #region-us \n"
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11
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"passage: TAGS\n#license-mit #region-us \n"
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5ea84423e143da5d482351358e333427b83d8de5 | # Dataset Card for "image2poetry_ru"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AnyaSchen/image2poetry_ru | [
"region:us"
] | 2023-05-10T10:22:48+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "poetry", "dtype": "string"}, {"name": "author", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3662906662.07, "num_examples": 7755}], "download_size": 3661571473, "dataset_size": 3662906662.07}} | 2023-05-19T09:03:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "image2poetry_ru"
More Information needed | [
"# Dataset Card for \"image2poetry_ru\"\n\nMore Information needed"
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6b471f8873a7005a58cbd9f877971e4bfe47c173 |
# Dataset Card for "LexFiles"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Specifications](#supported-tasks-and-leaderboards)
## Dataset Description
- **Homepage:** https://github.com/coastalcph/lexlms
- **Repository:** https://github.com/c... | lexlms/lex_files | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
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"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:extended",
"language:en",
... | 2023-05-10T10:40:26+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["extended"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "ma... | 2023-07-24T10:59:58+00:00 | [
"2305.07507"
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] | TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-extended #language-English #license-cc-by-nc-sa-4.0 #legal ... | Dataset Card for "LexFiles"
===========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Dataset Specifications
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper: URL
* Point of Contact: Ilias Chalkidis
### Dataset Summary
The Le... | [
"### Dataset Summary\n\n\nThe LeXFiles is a new diverse English multinational legal corpus that we created including 11 distinct sub-corpora that cover legislation and case law from 6 primarily English-speaking legal systems (EU, CoE, Canada, US, UK, India).\nThe corpus contains approx. 19 billion tokens. In compar... | [
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b0f5723c7ec234f947823408a103c0dc07a52e1d | # Dataset Card for huatuo_consultation_qa
## Dataset Description
- **Homepage: https://www.huatuogpt.cn/**
- **Repository: https://github.com/FreedomIntelligence/HuatuoGPT**
- **Paper: https://arxiv.org/abs/2305.01526**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
We collected data from a... | FreedomIntelligence/huatuo_consultation_qa | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:zh",
"license:apache-2.0",
"medical",
"arxiv:2305.01526",
"region:us"
] | 2023-05-10T10:41:08+00:00 | {"language": ["zh"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "tags": ["medical"]} | 2023-05-17T02:21:36+00:00 | [
"2305.01526"
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"zh"
] | TAGS
#task_categories-text-generation #size_categories-1M<n<10M #language-Chinese #license-apache-2.0 #medical #arxiv-2305.01526 #region-us
| # Dataset Card for huatuo_consultation_qa
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard:
- Point of Contact:
### Dataset Summary
We collected data from a website for medical consultation , consisting of many online consultation records by medical experts. Each record i... | [
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"## Dataset Description\n\n- Homepage: URL \n- Repository: URL \n- Paper: URL \n- Leaderboard: \n- Point of Contact:",
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54a60ab79208012ffaa072328e9cb676240f98ef | instruct_chat_50k.jsonl which is composed of 30k Chinese sharegpt dataset and 20k [alpaca-instruction-Chinese-dataset](https://github.com/hikariming/alpaca_chinese_dataset) | Chinese-Vicuna/instruct_chat_50k.jsonl | [
"task_categories:question-answering",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2023-05-10T11:32:11+00:00 | {"language": ["zh"], "license": "apache-2.0", "task_categories": ["question-answering"]} | 2023-05-12T02:27:55+00:00 | [] | [
"zh"
] | TAGS
#task_categories-question-answering #language-Chinese #license-apache-2.0 #region-us
| instruct_chat_50k.jsonl which is composed of 30k Chinese sharegpt dataset and 20k alpaca-instruction-Chinese-dataset | [] | [
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81a84809cdab70597ce9791b3792e514ceda3d60 | # Dataset Card for "UA_speech_very-low"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AravindVadlapudi02/UA_speech_very-low | [
"region:us"
] | 2023-05-10T12:48:31+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "control", "1": "pathology"}}}}, {"name": "input_features", "sequence": {"sequence": "float32"}}], "splits": [{"name": "train", "num_bytes": 766344936, "num_examples": 798}, {"name": "test", "num_bytes": 4599029948, "num_examples"... | 2023-05-10T12:49:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UA_speech_very-low"
More Information needed | [
"# Dataset Card for \"UA_speech_very-low\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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152624d44e5a7e5be47033c3a97fcdd8d640a489 | # Dataset Card for "UA_speech_low"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AravindVadlapudi02/UA_speech_low | [
"region:us"
] | 2023-05-10T13:09:06+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "control", "1": "pathology"}}}}, {"name": "input_features", "sequence": {"sequence": "float32"}}], "splits": [{"name": "train", "num_bytes": 768265600, "num_examples": 800}, {"name": "test", "num_bytes": 4615355592, "num_examples"... | 2023-05-10T13:10:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UA_speech_low"
More Information needed | [
"# Dataset Card for \"UA_speech_low\"\n\nMore Information needed"
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"# Dataset Card for \"UA_speech_low\"\n\nMore Information needed"
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1a3eb4ddaf7b02fe0d27334b60f5f98c9d99833b | # AutoTrain Dataset for project: textclassifier_307samples
## Dataset Description
This dataset has been automatically processed by AutoTrain for project textclassifier_307samples.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset lo... | keshavkmr076/autotrain-data-textclassifier_307samples | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2023-05-10T13:21:54+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2023-05-10T13:22:21+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: textclassifier\_307samples
=========================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project textclassifier\_307samples.
### Languages
The BCP-47 code for the dataset's language ... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
"TAGS\n#task_categories-text-classification #language-English #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
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ecd4d15dcff7d0649517000e799741b904e4e161 | # Dataset Card for "go-fuzzing-inputs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | elwint/go-fuzzing-inputs | [
"region:us"
] | 2023-05-10T13:26:08+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "completion", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 517066, "num_examples": 52}, {"name": "test", "num_bytes": 116975, "num_examples": 10}], "download_size": 275948, "dataset_size": 634041}} | 2023-06-30T10:07:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "go-fuzzing-inputs"
More Information needed | [
"# Dataset Card for \"go-fuzzing-inputs\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"go-fuzzing-inputs\"\n\nMore Information needed"
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22b6dd18f9116607e09188ae37ca854916d4fb17 | # Dataset Card for "UA_speech_mid"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AravindVadlapudi02/UA_speech_mid | [
"region:us"
] | 2023-05-10T13:26:26+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "control", "1": "pathology"}}}}, {"name": "input_features", "sequence": {"sequence": "float32"}}], "splits": [{"name": "train", "num_bytes": 757701948, "num_examples": 789}, {"name": "test", "num_bytes": 4640324224, "num_examples"... | 2023-05-10T13:27:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UA_speech_mid"
More Information needed | [
"# Dataset Card for \"UA_speech_mid\"\n\nMore Information needed"
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"# Dataset Card for \"UA_speech_mid\"\n\nMore Information needed"
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96e70d392d5167ee33fcf7c251119411c9c8e820 | > Not sure about the license.
> Source: https://www.robots.ox.ac.uk/~vgg/data/dtd/
# Describable Textures Dataset (DTD)
<img src="https://huggingface.co/datasets/cansa/Describable-Textures-Dataset-DTD/resolve/main/images/banded/banded_0023.jpg" alt="banded" width="100" height="100">
<img src="https://huggingface.co/... | cansa/Describable-Textures-Dataset-DTD | [
"region:us"
] | 2023-05-10T13:27:24+00:00 | {} | 2023-05-11T06:36:27+00:00 | [] | [] | TAGS
#region-us
|
>
> Not sure about the license.
>
>
>
>
> Source: URL
>
>
>
Describable Textures Dataset (DTD)
==================================
<img src="URL alt="banded" width="100" height="100">
<img src="URL alt="blotchy" width="100" height="100">
<img src="URL alt="braided" width="100" height="100">
<img src="URL... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
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cff6e1b62df90425dc7c39216ca30809d8227b65 | # Dataset Card for "go-fuzzing-inputs-all"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | elwint/go-fuzzing-inputs-all | [
"region:us"
] | 2023-05-10T13:30:09+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "completion", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1598918, "num_examples": 193}, {"name": "test", "num_bytes": 116975, "num_examples": 10}], "download_size": 507898, "dataset_size": 1715893}} | 2023-06-30T10:06:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "go-fuzzing-inputs-all"
More Information needed | [
"# Dataset Card for \"go-fuzzing-inputs-all\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"go-fuzzing-inputs-all\"\n\nMore Information needed"
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6ab500a335e9b299d90cf99a3ec165a7a05aa252 | # Dataset Card for "CSQA_preprocessed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | skrishna/CSQA_preprocessed | [
"region:us"
] | 2023-05-10T13:31:46+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "question_concept", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "label", "dtype": "string"}, {"name": "text", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}, {"name": "in... | 2023-05-10T17:01:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CSQA_preprocessed"
More Information needed | [
"# Dataset Card for \"CSQA_preprocessed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"CSQA_preprocessed\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"CSQA_preprocessed\"\n\nMore Information needed"
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281b5c04ce92e8e5fd3c4be51714067d224b92f3 | # Dataset Card for "UA_speech_high"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AravindVadlapudi02/UA_speech_high | [
"region:us"
] | 2023-05-10T13:44:13+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "control", "1": "pathology"}}}}, {"name": "input_features", "sequence": {"sequence": "float32"}}], "splits": [{"name": "train", "num_bytes": 768265600, "num_examples": 800}, {"name": "test", "num_bytes": 4599029948, "num_examples"... | 2023-05-10T13:45:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UA_speech_high"
More Information needed | [
"# Dataset Card for \"UA_speech_high\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"UA_speech_high\"\n\nMore Information needed"
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7bddaa4453c6db3cccd200d37f42e0d67febe6b3 | # Dataset Card for "miniwob_plusplus_v2_raw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LucasThil/miniwob_plusplus_v2_raw | [
"region:us"
] | 2023-05-10T13:51:00+00:00 | {"dataset_info": {"features": [{"name": "task_name", "dtype": "string"}, {"name": "utterance", "dtype": "string"}, {"name": "reward", "dtype": "float64"}, {"name": "raw_reward", "dtype": "float64"}, {"name": "processed_states", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5781242512, "num_examples": 1... | 2023-05-10T13:51:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "miniwob_plusplus_v2_raw"
More Information needed | [
"# Dataset Card for \"miniwob_plusplus_v2_raw\"\n\nMore Information needed"
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c3ac0a3cffc71990079d2ddb6982d8267eca5cef | # Dataset Card for "pixel_squad"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nadav/pixel_squad | [
"region:us"
] | 2023-05-10T14:46:20+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"array2_d": {"shape": [23, 23], "dtype": "uint8"}}}], "splits": [{"name": "train", "num_bytes": 55685358534.612, "num_examples": 781914}, {"name": "test", "num_bytes": 451699396.126, "num_examples": 11873}], "download_size":... | 2023-06-17T18:06:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pixel_squad"
More Information needed | [
"# Dataset Card for \"pixel_squad\"\n\nMore Information needed"
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d97384d795945b69b3e06f866f1d25bfe3b8a459 | # Bandori Card Dataset
The Bandori Card Dataset is a comprehensive collection of cards from the game "BanG Dream! Girls Band Party!" (Bandori). It aims to provide card metadata and corresponding artwork imag... | Linaqruf/bandori-card-dataset | [
"size_categories:100M<n<1B",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-05-10T14:47:34+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["100M<n<1B"], "thumbnail": "https://huggingface.co/datasets/Linaqruf/bandori-card-dataset/resolve/main/samples/thumbnail.png"} | 2023-05-10T23:55:41+00:00 | [] | [
"en"
] | TAGS
#size_categories-100M<n<1B #language-English #license-cc-by-4.0 #region-us
| # Bandori Card Dataset
!Sample Image
The Bandori Card Dataset is a comprehensive collection of cards from the game "BanG Dream! Girls Band Party!" (Bandori). It aims to provide card metadata and corresponding artwork images for analysis, research, and other purposes.
## Dataset Description
The dataset includes the ... | [
"# Bandori Card Dataset\n\n!Sample Image\n\nThe Bandori Card Dataset is a comprehensive collection of cards from the game \"BanG Dream! Girls Band Party!\" (Bandori). It aims to provide card metadata and corresponding artwork images for analysis, research, and other purposes.",
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52f7645f084a8d3fd0705384918e8c0300714e4e | # Dataset Card for "old_push"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | polinaeterna/old_push | [
"region:us"
] | 2023-05-10T15:03:24+00:00 | {"dataset_info": {"features": [{"name": "x", "dtype": "int64"}, {"name": "y", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 800, "num_examples": 50}], "download_size": 1763, "dataset_size": 800}} | 2023-05-10T15:03:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "old_push"
More Information needed | [
"# Dataset Card for \"old_push\"\n\nMore Information needed"
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5b6b152615afae7042778a79d25aa810091a74c7 |
# Dataset Card for [EDGAR-CORPUS]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#da... | c3po-ai/edgar-corpus | [
"task_categories:other",
"annotations_creators:no-annotation",
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"language:en",
"license:apache-2.0",
"research papers",
"edgar",
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"finance",
"financial",
"filings",... | 2023-05-10T15:07:12+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["other"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|other"], "task_categories": ["other"], "task_ids": [], "pretty_name": "EDGAR-CORPUS (10-K Filings... | 2023-07-18T15:27:41+00:00 | [
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===============================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Source Data
+ Annotations
+ Per... | [
"### Dataset Summary\n\n\nThis dataset card is based on the paper EDGAR-CORPUS: Billions of Tokens Make The World Go Round authored by *Lefteris Loukas et.al*, as published in the *ECONLP 2021* workshop.\n\n\nThis dataset contains the annual reports of public companies from 1993-2020 from SEC EDGAR filings.\n\n\nTh... | [
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e62bb3d77ac4797e86ad9779ced416a33db0fe96 |
# Dataset Card for "LegalLAMA"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Specifications](#supported-tasks-and-leaderboards)
## Dataset Description
- **Homepage:** https://github.com/coastalcph/lexlms
- **Repository:** https://github.com/c... | lexlms/legal_lama | [
"task_categories:text-generation",
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"... | 2023-05-10T15:07:14+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["masked-language-modelin... | 2023-07-24T12:13:15+00:00 | [
"2305.07507"
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============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Dataset Specifications
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper: URL
* Point of Contact: Ilias Chalkidis
### Dataset Summary
Lega... | [
"### Dataset Summary\n\n\nLegalLAMA is a diverse probing benchmark suite comprising 8 sub-tasks that aims to assess the acquaintance of legal knowledge that PLMs acquired in pre-training.",
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0bad5f3446008d646877c6c51586383091155793 | # Dataset Card for "fr-crawle-reduced"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | edanigoben/fr-crawle-reduced | [
"region:us"
] | 2023-05-10T15:13:16+00:00 | {"dataset_info": {"features": [{"name": "labels", "dtype": {"class_label": {"names": {"0": "business analyst", "1": "data analyst", "2": "data engineer", "3": "full stack", "4": "data scientist", "5": "software engineer", "6": "devops engineer", "7": "front end", "8": "business intelligence analyst", "9": "machine lear... | 2023-05-16T13:28:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fr-crawle-reduced"
More Information needed | [
"# Dataset Card for \"fr-crawle-reduced\"\n\nMore Information needed"
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ffbc4532d4ff1e2aaa6cb38a5df5aac400725301 | # Dataset Card for "old_parquet_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | polinaeterna/old_parquet_2 | [
"region:us"
] | 2023-05-10T15:19:34+00:00 | {"dataset_info": {"features": [{"name": "x", "dtype": "int64"}, {"name": "y", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 160, "num_examples": 10}], "download_size": 1371, "dataset_size": 160}} | 2023-05-10T15:19:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "old_parquet_2"
More Information needed | [
"# Dataset Card for \"old_parquet_2\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"old_parquet_2\"\n\nMore Information needed"
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5482190e81aaecc25a18740ce3080cdd663d4310 | # so13m
so13m is a dataset containing 13m discussion threads from StackOverflow. The origin of the data is the StackExchange data dump from between January 2014 and December 2022. The threads cover a multitude of topics. This dataset serves as a natural language and (often) accompanying code in the domain of software e... | apcl/so13m | [
"task_categories:text-generation",
"size_categories:10M<n<100M",
"license:bigscience-openrail-m",
"region:us"
] | 2023-05-10T16:27:06+00:00 | {"license": "bigscience-openrail-m", "size_categories": ["10M<n<100M"], "task_categories": ["text-generation"], "pretty_name": "SO13M"} | 2023-05-12T04:06:30+00:00 | [] | [] | TAGS
#task_categories-text-generation #size_categories-10M<n<100M #license-bigscience-openrail-m #region-us
| so13m
=====
so13m is a dataset containing 13m discussion threads from StackOverflow. The origin of the data is the StackExchange data dump from between January 2014 and December 2022. The threads cover a multitude of topics. This dataset serves as a natural language and (often) accompanying code in the domain of soft... | [] | [
"TAGS\n#task_categories-text-generation #size_categories-10M<n<100M #license-bigscience-openrail-m #region-us \n"
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07b6d3a88b6dc17f89f081392a6084244937fcc3 | # Dataset Card for "image2music_abc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AnyaSchen/image2music_abc | [
"region:us"
] | 2023-05-10T16:29:56+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "music", "dtype": "string"}, {"name": "genre", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 439438910.011, "num_examples": 1003}], "download_size": 438955468, "dataset_size": 439438910.011}} | 2023-05-10T17:29:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "image2music_abc"
More Information needed | [
"# Dataset Card for \"image2music_abc\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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1531f0922670725d9ff9cc51c9fce40b6f50a828 | # Dataset Card for "ontonotes5.0-pt-harem-selective"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arubenruben/ontonotes5.0-pt-harem-selective | [
"region:us"
] | 2023-05-10T18:01:48+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-PESSOA", "2": "I-PESSOA", "3": "B-ORGANIZACAO", "4": "I-ORGANIZACAO", "5": "B-LOCAL", "6": "I-LOCAL", "7": "B-TEMPO", "8": "I-TEMPO", "9": "B-VALOR", "10": "I-VALOR"}}}}... | 2023-05-12T09:02:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ontonotes5.0-pt-harem-selective"
More Information needed | [
"# Dataset Card for \"ontonotes5.0-pt-harem-selective\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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f8c4b38f13442defbd97c27b4db00dc4b4aa1c92 | # Dataset Card for "ontonotes5.0-pt-harem-default"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arubenruben/ontonotes5.0-pt-harem-default | [
"region:us"
] | 2023-05-10T18:02:05+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-PESSOA", "2": "I-PESSOA", "3": "B-ORGANIZACAO", "4": "I-ORGANIZACAO", "5": "B-LOCAL", "6": "I-LOCAL", "7": "B-TEMPO", "8": "I-TEMPO", "9": "B-VALOR", "10": "I-VALOR", "1... | 2023-05-12T09:02:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ontonotes5.0-pt-harem-default"
More Information needed | [
"# Dataset Card for \"ontonotes5.0-pt-harem-default\"\n\nMore Information needed"
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bd4020d0a4a6c0337e57e7c24ec83f17191e87fb | # Dataset Card for "imsdb-500tokenaction-movie-scripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aneeshas/imsdb-500tokenaction-movie-scripts | [
"region:us"
] | 2023-05-10T18:36:24+00:00 | {"dataset_info": {"features": [{"name": "Action", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 155714, "num_examples": 336}], "download_size": 95251, "dataset_size": 155714}} | 2023-05-10T18:36:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "imsdb-500tokenaction-movie-scripts"
More Information needed | [
"# Dataset Card for \"imsdb-500tokenaction-movie-scripts\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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388934b550beab017a2904b1b4c87d15c789bae6 | # Dataset Card for "imsdb-500tokenhorror-movie-scripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aneeshas/imsdb-500tokenhorror-movie-scripts | [
"region:us"
] | 2023-05-10T18:36:41+00:00 | {"dataset_info": {"features": [{"name": "Horror", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 76307, "num_examples": 158}], "download_size": 50645, "dataset_size": 76307}} | 2023-05-10T18:36:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "imsdb-500tokenhorror-movie-scripts"
More Information needed | [
"# Dataset Card for \"imsdb-500tokenhorror-movie-scripts\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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6bc69a8681d2e5ad5b4a2bf46d4fadfd6df45814 | # Dataset Card for "imsdb-500tokensci-fi-movie-scripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aneeshas/imsdb-500tokensci-fi-movie-scripts | [
"region:us"
] | 2023-05-10T18:37:03+00:00 | {"dataset_info": {"features": [{"name": "Sci-Fi", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 82670, "num_examples": 180}], "download_size": 53226, "dataset_size": 82670}} | 2023-05-10T18:37:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "imsdb-500tokensci-fi-movie-scripts"
More Information needed | [
"# Dataset Card for \"imsdb-500tokensci-fi-movie-scripts\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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cb4af104f984ab868e84142ddbb250eda6adda5d | # Dataset Card for "imsdb-500tokencomedy-movie-scripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aneeshas/imsdb-500tokencomedy-movie-scripts | [
"region:us"
] | 2023-05-10T18:37:15+00:00 | {"dataset_info": {"features": [{"name": "Comedy", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 183726, "num_examples": 394}], "download_size": 112420, "dataset_size": 183726}} | 2023-05-10T18:37:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "imsdb-500tokencomedy-movie-scripts"
More Information needed | [
"# Dataset Card for \"imsdb-500tokencomedy-movie-scripts\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"imsdb-500tokencomedy-movie-scripts\"\n\nMore Information needed"
] |
d01cc6c156488159eb377faed61a7204458d8484 | # Dataset Card for "imsdb-500tokendrama-movie-scripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aneeshas/imsdb-500tokendrama-movie-scripts | [
"region:us"
] | 2023-05-10T18:37:25+00:00 | {"dataset_info": {"features": [{"name": "Drama", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 307903, "num_examples": 652}], "download_size": 189402, "dataset_size": 307903}} | 2023-05-10T18:37:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "imsdb-500tokendrama-movie-scripts"
More Information needed | [
"# Dataset Card for \"imsdb-500tokendrama-movie-scripts\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"imsdb-500tokendrama-movie-scripts\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"imsdb-500tokendrama-movie-scripts\"\n\nMore Information needed"
] |
aa9a18226b86bdadbb74d119b71ab9fb343fb7ee | # funcom-java-long
funcom-java-long is a dataset for code summarization presented by Bansal et al. It includes 170k Java methods and summaries for training and 8,192 Java methods in test set. This dataset is extracted from jm52m and is cleaned and deduplicated. The example prompt for fine-tuning is as follows.
- TDAT... | apcl/funcom-java-long | [
"region:us"
] | 2023-05-10T19:27:12+00:00 | {} | 2023-05-11T19:25:43+00:00 | [] | [] | TAGS
#region-us
| # funcom-java-long
funcom-java-long is a dataset for code summarization presented by Bansal et al. It includes 170k Java methods and summaries for training and 8,192 Java methods in test set. This dataset is extracted from jm52m and is cleaned and deduplicated. The example prompt for fine-tuning is as follows.
- TDAT... | [
"# funcom-java-long\n\nfuncom-java-long is a dataset for code summarization presented by Bansal et al. It includes 170k Java methods and summaries for training and 8,192 Java methods in test set. This dataset is extracted from jm52m and is cleaned and deduplicated. The example prompt for fine-tuning is as follows.\... | [
"TAGS\n#region-us \n",
"# funcom-java-long\n\nfuncom-java-long is a dataset for code summarization presented by Bansal et al. It includes 170k Java methods and summaries for training and 8,192 Java methods in test set. This dataset is extracted from jm52m and is cleaned and deduplicated. The example prompt for fi... | [
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31,
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"passage: TAGS\n#region-us \n# funcom-java-long\n\nfuncom-java-long is a dataset for code summarization presented by Bansal et al. It includes 170k Java methods and summaries for training and 8,192 Java methods in test set. This dataset is extracted from jm52m and is cleaned and deduplicated. The example prompt for... |
440e264ed0060e5fad5564fc196282b0a31755e4 |
This is the model files for [ControlNet 1.1](https://github.com/lllyasviel/ControlNet-v1-1-nightly).
This model card will be filled in a more detailed way after 1.1 is officially merged into ControlNet.
| disty/seait_ControlNet1-1-modules-safetensors | [
"license:openrail",
"region:us"
] | 2023-05-10T19:44:18+00:00 | {"license": "openrail"} | 2023-05-10T20:54:10+00:00 | [] | [] | TAGS
#license-openrail #region-us
|
This is the model files for ControlNet 1.1.
This model card will be filled in a more detailed way after 1.1 is officially merged into ControlNet.
| [] | [
"TAGS\n#license-openrail #region-us \n"
] | [
12
] | [
"passage: TAGS\n#license-openrail #region-us \n"
] |
aeb4c4194508bba5d5afe898ab7fe45445605610 |
# Summary
This is a question-answer dataset for the Grade 12 (M6) Social subject of the Thailand Ordinary National Educational Test (ONET).
The dataset was human-extracted by my team from the official release of publicly available exams [National Institute of Educational Testing Service](https://www.niets.or.th/th/ca... | Thaweewat/onet-m6-social | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:th",
"license:cc-by-sa-3.0",
"social",
"instruction-finetuning",
"region:us"
] | 2023-05-10T20:12:45+00:00 | {"language": ["th"], "license": "cc-by-sa-3.0", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "pretty_name": "onet-m6", "tags": ["social", "instruction-finetuning"]} | 2023-05-10T23:42:33+00:00 | [] | [
"th"
] | TAGS
#task_categories-question-answering #size_categories-n<1K #language-Thai #license-cc-by-sa-3.0 #social #instruction-finetuning #region-us
|
# Summary
This is a question-answer dataset for the Grade 12 (M6) Social subject of the Thailand Ordinary National Educational Test (ONET).
The dataset was human-extracted by my team from the official release of publicly available exams National Institute of Educational Testing Service during the years 2016-2022.
Th... | [
"# Summary\nThis is a question-answer dataset for the Grade 12 (M6) Social subject of the Thailand Ordinary National Educational Test (ONET). \nThe dataset was human-extracted by my team from the official release of publicly available exams National Institute of Educational Testing Service during the years 2016-202... | [
"TAGS\n#task_categories-question-answering #size_categories-n<1K #language-Thai #license-cc-by-sa-3.0 #social #instruction-finetuning #region-us \n",
"# Summary\nThis is a question-answer dataset for the Grade 12 (M6) Social subject of the Thailand Ordinary National Educational Test (ONET). \nThe dataset was huma... | [
52,
154
] | [
"passage: TAGS\n#task_categories-question-answering #size_categories-n<1K #language-Thai #license-cc-by-sa-3.0 #social #instruction-finetuning #region-us \n# Summary\nThis is a question-answer dataset for the Grade 12 (M6) Social subject of the Thailand Ordinary National Educational Test (ONET). \nThe dataset was h... |
2bef62ccb5ea671af60bf9b9d1612ccf388fd97d | # Dataset Card for "turkishReviews-ds-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AzerKBU/turkishReviews-ds-mini | [
"region:us"
] | 2023-05-10T20:30:44+00:00 | {"dataset_info": {"features": [{"name": "review", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1252876.2642514652, "num_examples": 3378}, {"name": "validation", "num_bytes": 139455.7357485349, "num_examples": 376}], "download_size": 0, "dataset_size": 13923... | 2023-05-12T19:25:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "turkishReviews-ds-mini"
More Information needed | [
"# Dataset Card for \"turkishReviews-ds-mini\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"turkishReviews-ds-mini\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"turkishReviews-ds-mini\"\n\nMore Information needed"
] |
48ac594c05f0bad72dbefd7cd927a83e7a92986f |
This is the same dataset as [`dbpedia_14`](https://huggingface.co/datasets/dbpedia_14). The only differences are
1. Addition of a unique identifier, `uid`
1. Addition of the indices, that is 3 columns with the embeddings of 3 different sentence-transformers
- `all-mpnet-base-v2`
- `multi-qa-mpnet-base-dot-v... | pietrolesci/dbpedia_14_indexed | [
"task_categories:text-classification",
"task_ids:topic-classification",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-sa-3.0",
"region:us"
] | 2023-05-10T21:11:57+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["topic-classification"],... | 2023-05-11T12:34:45+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-topic-classification #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-3.0 #region-us
|
This is the same dataset as 'dbpedia_14'. The only differences are
1. Addition of a unique identifier, 'uid'
1. Addition of the indices, that is 3 columns with the embeddings of 3 different sentence-transformers
- 'all-mpnet-base-v2'
- 'multi-qa-mpnet-base-dot-v1'
- 'all-MiniLM-L12-v2'
1. Renaming of th... | [] | [
"TAGS\n#task_categories-text-classification #task_ids-topic-classification #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-3.0 #region-us \n"
] | [
94
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"passage: TAGS\n#task_categories-text-classification #task_ids-topic-classification #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-3.0 #region-us \n"
] |
cc92bbf8b8286c51259020cb25bdd47263a306f5 | XNLI consists of 10k English sentences translated into 14 languages:
ar: Arabic
bg: Bulgarian
de: German
el: Greek
es: Spanish
fr: French
hi: Hindi
ru: Russian
sw: Swahili
th: Thai
tr: Turkish
ur: Urdu
vi: Vietnamese
zh: Chinese (Simplified)
The XNLI 15-way parallel corpus can be used for Machine Translation as eval... | alvations/xnli-15way | [
"region:us"
] | 2023-05-10T22:19:18+00:00 | {} | 2023-05-10T22:20:01+00:00 | [] | [] | TAGS
#region-us
| XNLI consists of 10k English sentences translated into 14 languages:
ar: Arabic
bg: Bulgarian
de: German
el: Greek
es: Spanish
fr: French
hi: Hindi
ru: Russian
sw: Swahili
th: Thai
tr: Turkish
ur: Urdu
vi: Vietnamese
zh: Chinese (Simplified)
The XNLI 15-way parallel corpus can be used for Machine Translation as eval... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
6a76f637b03278dc286ea6bd3e70df5fdfc8bbf4 |
# Summary
This is a 🇹🇭 Thai-translated dataset based on [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf) using Google Cloud Translation.
This repository provides access to:
- 161K Train dataset Anthropic/hh-rlhf (Thai-translated)
- (Soon) 8K Test dataset Anthropic/hh-rlhf (Thai-translated)
... | Thaweewat/hh-rlhf-th | [
"size_categories:100K<n<1M",
"language:th",
"license:mit",
"human-feedback",
"region:us"
] | 2023-05-10T22:31:18+00:00 | {"language": ["th"], "license": "mit", "size_categories": ["100K<n<1M"], "tags": ["human-feedback"]} | 2023-05-10T22:44:07+00:00 | [] | [
"th"
] | TAGS
#size_categories-100K<n<1M #language-Thai #license-mit #human-feedback #region-us
|
# Summary
This is a 🇹🇭 Thai-translated dataset based on Anthropic/hh-rlhf using Google Cloud Translation.
This repository provides access to:
- 161K Train dataset Anthropic/hh-rlhf (Thai-translated)
- (Soon) 8K Test dataset Anthropic/hh-rlhf (Thai-translated)
Disclaimer: The data contain content that may be of... | [
"# Summary\n\nThis is a 🇹🇭 Thai-translated dataset based on Anthropic/hh-rlhf using Google Cloud Translation. \nThis repository provides access to:\n\n- 161K Train dataset Anthropic/hh-rlhf (Thai-translated)\n- (Soon) 8K Test dataset Anthropic/hh-rlhf (Thai-translated)\n\n\nDisclaimer: The data contain content th... | [
"TAGS\n#size_categories-100K<n<1M #language-Thai #license-mit #human-feedback #region-us \n",
"# Summary\n\nThis is a 🇹🇭 Thai-translated dataset based on Anthropic/hh-rlhf using Google Cloud Translation. \nThis repository provides access to:\n\n- 161K Train dataset Anthropic/hh-rlhf (Thai-translated)\n- (Soon) ... | [
33,
201
] | [
"passage: TAGS\n#size_categories-100K<n<1M #language-Thai #license-mit #human-feedback #region-us \n# Summary\n\nThis is a 🇹🇭 Thai-translated dataset based on Anthropic/hh-rlhf using Google Cloud Translation. \nThis repository provides access to:\n\n- 161K Train dataset Anthropic/hh-rlhf (Thai-translated)\n- (Soo... |
664b653d4a0216cb3ee47abfd21158d2a314d5ec | # Dataset Card for "open-instruct-v1-oasst-dolly-hhrlhf"
This dataset is a combination of:
1. Filtered subset of[OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1)
2. train split of [Mosaic-dolly-hhrlhf](https://huggingface.co/datasets/mosaicml/dolly_hhrlhf) (consists of [Databrick's doll... | VMware/open-instruct-v1-oasst-dolly-hhrlhf | [
"language:en",
"region:us"
] | 2023-05-10T22:36:12+00:00 | {"language": "en", "dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "alpaca_prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 60252132, "num_examples": 62971}], "download_size": 332... | 2023-07-13T13:21:14+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| # Dataset Card for "open-instruct-v1-oasst-dolly-hhrlhf"
This dataset is a combination of:
1. Filtered subset ofOpenAssistant/oasst1
2. train split of Mosaic-dolly-hhrlhf (consists of Databrick's dolly-15k dataset and a filtered subset of Anthropic's HH-RLHF).
## Dataset
The dataset consists of 3 columns:
1. in... | [
"# Dataset Card for \"open-instruct-v1-oasst-dolly-hhrlhf\"\n\n\nThis dataset is a combination of:\n 1. Filtered subset ofOpenAssistant/oasst1\n 2. train split of Mosaic-dolly-hhrlhf (consists of Databrick's dolly-15k dataset and a filtered subset of Anthropic's HH-RLHF).",
"## Dataset \nThe dataset consists of... | [
"TAGS\n#language-English #region-us \n",
"# Dataset Card for \"open-instruct-v1-oasst-dolly-hhrlhf\"\n\n\nThis dataset is a combination of:\n 1. Filtered subset ofOpenAssistant/oasst1\n 2. train split of Mosaic-dolly-hhrlhf (consists of Databrick's dolly-15k dataset and a filtered subset of Anthropic's HH-RLHF)... | [
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8a0f1358edab233dbdb9553b772a4018f56af405 | This dataset is https://github.com/teknium1/GPTeacher unfiltered, removing 1489 instances of blatant alignment.
23073 instructions remain.
https://github.com/teknium1/GPTeacher/blob/8afcaaa7a11dd980162d861bd6be970f95eb7174/Codegen/codegen-instruct.json
https://github.com/teknium1/GPTeacher/blob/e3b7aba886c6c0c8ad30a6... | ewof/gpteacher-unfiltered | [
"region:us"
] | 2023-05-10T22:49:06+00:00 | {} | 2023-05-13T02:54:31+00:00 | [] | [] | TAGS
#region-us
| This dataset is URL unfiltered, removing 1489 instances of blatant alignment.
23073 instructions remain.
URL
URL
URL
i combined all of these files above into URL and ran URL
normal URL script didn't find any dupes here.
inspired by URL
All credit to anon8231489123 for the cleanup script that I adapted to wizardl... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
21ffd88b35043a4b3bd3569e442adbd7874efe9c | # Dataset Card for "covidqa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sree1994/covidqa | [
"region:us"
] | 2023-05-10T23:30:49+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "answers", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "text", "sequence": "string"}]}, {"name": "question", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 48653509, ... | 2023-05-13T15:17:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "covidqa"
More Information needed | [
"# Dataset Card for \"covidqa\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"covidqa\"\n\nMore Information needed"
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6,
13
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"passage: TAGS\n#region-us \n# Dataset Card for \"covidqa\"\n\nMore Information needed"
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aafc8f18d6f543e30d4ac656a699b926bafa5dd7 | This dataset is HuggingFaceH4/CodeAlpaca_20K unfiltered, removing 36 instances of blatant alignment.
19986 instructions remain.
https://huggingface.co/datasets/HuggingFaceH4/CodeAlpaca_20K/blob/29ba7b7fdf0c55e5435c848cf6bbf9782fef62a6/data/test-00000-of-00001.parquet
https://huggingface.co/datasets/HuggingFaceH4/Code... | ewof/code-alpaca-instruct-unfiltered | [
"region:us"
] | 2023-05-10T23:52:51+00:00 | {} | 2023-05-13T02:53:37+00:00 | [] | [] | TAGS
#region-us
| This dataset is HuggingFaceH4/CodeAlpaca_20K unfiltered, removing 36 instances of blatant alignment.
19986 instructions remain.
URL
URL
i combined all of these files above into code_alpaca_data.jsonl with parquet2json and ran URL on it, renamed to .json not .jsonl
normal URL script didn't find any dupes here.
insp... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
e78a2eff422c20d1196dd7216093eb9f6fcd0c70 | # Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:** https://arxiv.org/abs/2209.00465
- **Leaderboard:**
- **Point of Contact:** yuchenlin1995@gmail.com
### Dataset Summary
This **G-PlanET** dataset is built on AI2 [ALFRED](https://leaderboard.allenai.org/alfred/s... | yuchenlin/G-PlanET | [
"task_categories:text-generation",
"task_categories:table-to-text",
"task_categories:table-question-answering",
"language:en",
"license:apache-2.0",
"arxiv:2209.00465",
"region:us"
] | 2023-05-10T23:54:50+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation", "table-to-text", "table-question-answering"]} | 2023-07-15T06:33:33+00:00 | [
"2209.00465"
] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-table-to-text #task_categories-table-question-answering #language-English #license-apache-2.0 #arxiv-2209.00465 #region-us
| # Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper: URL
- Leaderboard:
- Point of Contact: yuchenlin1995@URL
### Dataset Summary
This G-PlanET dataset is built on AI2 ALFRED.
### Supported Tasks and Leaderboards
### Languages
## Dataset Structure
### Data Instances
... | [
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: URL\n- Leaderboard: \n- Point of Contact: yuchenlin1995@URL",
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"### Supported Tasks and Leaderboards",
"### Languages",
"## Dataset St... | [
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75b1fbf07ff3470634765d469d9d177e03918fd7 | This dataset is Dahoas/synthetic-instruct-gptj-pairwise, removing 2453 instances of blatant alignment and 44 duplicates.
30646 instructions remain.
https://huggingface.co/datasets/Dahoas/synthetic-instruct-gptj-pairwise/blob/987e7db3ef7e68c93950bc61edc10ab9b7c239ef/data/train-00000-of-00001-1e5d57b93c448e7a.parquet
t... | ewof/synthetic-instruct-unfiltered-deduped | [
"region:us"
] | 2023-05-11T00:02:30+00:00 | {} | 2023-05-13T02:54:41+00:00 | [] | [] | TAGS
#region-us
| This dataset is Dahoas/synthetic-instruct-gptj-pairwise, removing 2453 instances of blatant alignment and 44 duplicates.
30646 instructions remain.
URL
turned above code_alpaca_data.jsonl with parquet2json and ran URL on it, renamed to .json not .jsonl
inspired by URL
All credit to anon8231489123 for the cleanup sc... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
9f1b7bfaa3c7fa609300ee2c8ca34f4efc40f7ab | # Dataset Card for "globalvoices-de-es"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | alvations/globalvoices-de-es | [
"region:us"
] | 2023-05-11T00:08:14+00:00 | {"dataset_info": {"features": [{"name": "de", "dtype": "string"}, {"name": "es", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18269102, "num_examples": 66782}], "download_size": 11604428, "dataset_size": 18269102}} | 2023-05-11T00:14:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "globalvoices-de-es"
More Information needed | [
"# Dataset Card for \"globalvoices-de-es\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"globalvoices-de-es\"\n\nMore Information needed"
] | [
6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"globalvoices-de-es\"\n\nMore Information needed"
] |
0c6c09c2ae99b59404ac91b3010e28d8823cf7ac | # Dataset Card for "globalvoices-de-en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | alvations/globalvoices-de-en | [
"region:us"
] | 2023-05-11T00:14:27+00:00 | {"dataset_info": {"features": [{"name": "de", "dtype": "string"}, {"name": "en", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18073774, "num_examples": 70547}], "download_size": 11610471, "dataset_size": 18073774}} | 2023-05-11T00:14:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "globalvoices-de-en"
More Information needed | [
"# Dataset Card for \"globalvoices-de-en\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"globalvoices-de-en\"\n\nMore Information needed"
] | [
6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"globalvoices-de-en\"\n\nMore Information needed"
] |
cc493a886b3cfc7003bee3d407b09ba3dc076ce2 | # Dataset Card for "globalvoices-en-es"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | alvations/globalvoices-en-es | [
"region:us"
] | 2023-05-11T00:14:29+00:00 | {"dataset_info": {"features": [{"name": "en", "dtype": "string"}, {"name": "es", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 89033765, "num_examples": 355136}], "download_size": 57678468, "dataset_size": 89033765}} | 2023-05-11T00:14:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "globalvoices-en-es"
More Information needed | [
"# Dataset Card for \"globalvoices-en-es\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"globalvoices-en-es\"\n\nMore Information needed"
] | [
6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"globalvoices-en-es\"\n\nMore Information needed"
] |
e68e5ea09b38b52df3d06500cbf5850598759946 | # Dataset Card for "Recommended_Proceeding"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Yamei/Recommended_Proceeding | [
"region:us"
] | 2023-05-11T00:32:27+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "proceeding", "struct": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "acronym", "dtype": "string"}, {"name": "groupId", "dtype": "string"}, {"name": "volume", "dtype": "string"}, {"name": "displayVolume", "dtype": ... | 2023-05-11T17:27:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Recommended_Proceeding"
More Information needed | [
"# Dataset Card for \"Recommended_Proceeding\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Recommended_Proceeding\"\n\nMore Information needed"
] | [
6,
19
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"passage: TAGS\n#region-us \n# Dataset Card for \"Recommended_Proceeding\"\n\nMore Information needed"
] |
b0e88c490b0ca3f82f31a1316b53aae30b4e88e9 | # Dataset Card for "Recommended_Issue"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Yamei/Recommended_Issue | [
"region:us"
] | 2023-05-11T00:40:45+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "issue", "struct": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "year", "dtype": "string"}, {"name": "issueNum", "dtype": "string"}, {"name": "idPrefix", "dtype": "string"}, {"name": "pubType", "dtype": "string"}, ... | 2023-05-11T00:41:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Recommended_Issue"
More Information needed | [
"# Dataset Card for \"Recommended_Issue\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Recommended_Issue\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Recommended_Issue\"\n\nMore Information needed"
] |
65dca657db7222c12721b7f2156a28730bb7c327 | clone from https://huggingface.co/datasets/lj_speech
and support set data_files
# use
```python
dataset = load_dataset('SeanSleat/lj_speech',data_files='/path/to/LJSpeech-1.1.tar.bz2') | SeanSleat/lj_speech | [
"region:us"
] | 2023-05-11T00:41:22+00:00 | {} | 2023-05-11T00:52:11+00:00 | [] | [] | TAGS
#region-us
| clone from URL
and support set data_files
# use
'''python
dataset = load_dataset('SeanSleat/lj_speech',data_files='/path/to/LJSpeech-1.1.tar.bz2') | [
"# use\n\n'''python\n\ndataset = load_dataset('SeanSleat/lj_speech',data_files='/path/to/LJSpeech-1.1.tar.bz2')"
] | [
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] |
4a0b7133bd88521ae878677e2bbad7c4a0245e1b | reply1 = "What is your question?"
(reply1)
user_response = input()
reply2 = "What do you want the answer to be?"
(reply2)
user_response = input()
reply3 = "That is the answer. As your intuition is simply what you want. What is your next question?"
(reply3)
| Holycanolies123/Bittt | [
"region:us"
] | 2023-05-11T01:05:19+00:00 | {} | 2023-05-11T01:05:31+00:00 | [] | [] | TAGS
#region-us
| reply1 = "What is your question?"
(reply1)
user_response = input()
reply2 = "What do you want the answer to be?"
(reply2)
user_response = input()
reply3 = "That is the answer. As your intuition is simply what you want. What is your next question?"
(reply3)
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
d1b444ae606c9ac87296f538ef3cce2f8aa9dd66 | # flower 数据集
用于测试mmlab训练 | jobcher/flower-datasets | [
"license:mit",
"region:us"
] | 2023-05-11T01:29:36+00:00 | {"license": "mit"} | 2023-05-11T01:51:40+00:00 | [] | [] | TAGS
#license-mit #region-us
| # flower 数据集
用于测试mmlab训练 | [
"# flower 数据集\n用于测试mmlab训练"
] | [
"TAGS\n#license-mit #region-us \n",
"# flower 数据集\n用于测试mmlab训练"
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"passage: TAGS\n#license-mit #region-us \n# flower 数据集\n用于测试mmlab训练"
] |
ab1cb9fa3820a1c1e79de4fad5bfda81404d2f87 | # Dataset Card for "sidewalk-imagery12"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | G12345/sidewalk-imagery12 | [
"region:us"
] | 2023-05-11T02:29:22+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 3139971.0, "num_examples": 10}], "download_size": 3141481, "dataset_size": 3139971.0}} | 2023-05-11T02:56:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sidewalk-imagery12"
More Information needed | [
"# Dataset Card for \"sidewalk-imagery12\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sidewalk-imagery12\"\n\nMore Information needed"
] | [
6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"sidewalk-imagery12\"\n\nMore Information needed"
] |
835e07ebcafb48994a06bdb1cc186d31ac85fb1a | # Dataset Card for "processed_hbert_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | artem9k/processed_hbert_dataset | [
"region:us"
] | 2023-05-11T02:29:54+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "special_tokens_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 2700406800.0, "num_examples": 750113}], "download_siz... | 2023-05-11T02:39:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_hbert_dataset"
More Information needed | [
"# Dataset Card for \"processed_hbert_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"processed_hbert_dataset\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"processed_hbert_dataset\"\n\nMore Information needed"
] |
9d78d94400c083a5dacea69ea3bf9338a892b7e5 | # Dataset Card for "sdg-single"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dspoka/sdg-single | [
"region:us"
] | 2023-05-11T02:55:36+00:00 | {"dataset_info": {"features": [{"name": "iso3", "dtype": "string"}, {"name": "country", "dtype": "string"}, {"name": "goal", "dtype": "string"}, {"name": "target", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "status", "dtype": "string"}, {"name": "sector", "dtype": "string"}, {"name": "response", ... | 2023-05-15T04:14:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sdg-single"
More Information needed | [
"# Dataset Card for \"sdg-single\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sdg-single\"\n\nMore Information needed"
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6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"sdg-single\"\n\nMore Information needed"
] |
7a661fb158f56206b20b246ce8b78e7ed4b5d888 | # Dataset Card for "texto_osal_mexico_tag"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | agusnieto77/texto_osal_mexico_tag | [
"region:us"
] | 2023-05-11T03:21:25+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "prediction", "dtype": "null"}, {"name": "prediction_agent", "dtype": "null"}, {"name": "annotation", "list": [{"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "start",... | 2023-05-11T03:45:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "texto_osal_mexico_tag"
More Information needed | [
"# Dataset Card for \"texto_osal_mexico_tag\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"texto_osal_mexico_tag\"\n\nMore Information needed"
] | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"texto_osal_mexico_tag\"\n\nMore Information needed"
] |
a1d8ac23f05ae4b2ada5b45589fe089cfc41918b | Embeddings generated from english text corpus file.
Model used: sentence-transformers/all-MiniLM-L6-v2 | krinal/embeddings_state_of_union | [
"license:apache-2.0",
"region:us"
] | 2023-05-11T04:55:38+00:00 | {"license": "apache-2.0"} | 2023-05-11T08:50:04+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Embeddings generated from english text corpus file.
Model used: sentence-transformers/all-MiniLM-L6-v2 | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
83c9cf1c0ac1b77dd82f6c0a388509663fe7fb4b | # Dataset Card for "sidewalk-imagery1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | G12345/sidewalk-imagery1 | [
"region:us"
] | 2023-05-11T05:44:35+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 3139971.0, "num_examples": 10}], "download_size": 3141481, "dataset_size": 3139971.0}} | 2023-05-11T05:44:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sidewalk-imagery1"
More Information needed | [
"# Dataset Card for \"sidewalk-imagery1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sidewalk-imagery1\"\n\nMore Information needed"
] | [
6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"sidewalk-imagery1\"\n\nMore Information needed"
] |
3dbcb4263fd63a96d6659c7ad6b86af622e66828 | # Dataset Card for MADBase
## Dataset Description
- **Homepage:**
https://datacenter.aucegypt.edu/shazeem/
- **Repository:**
- **Paper:**
A Two-Stage System for Arabic Handwritten Digit Recognition Tested on a New Large Database.
EA El-Sherif, S Abdelazeem
Artificial intelligence and pattern recognition, 237-242
-... | MagedSaeed/MADBase | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"language:ar",
"region:us"
] | 2023-05-11T05:52:41+00:00 | {"language": ["ar"], "size_categories": ["10K<n<100K"], "task_categories": ["image-classification"], "pretty_name": "Arabic Handwritten Digits Images Dataset", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 16186819.125,... | 2023-05-17T10:39:28+00:00 | [] | [
"ar"
] | TAGS
#task_categories-image-classification #size_categories-10K<n<100K #language-Arabic #region-us
| # Dataset Card for MADBase
## Dataset Description
- Homepage:
URL
- Repository:
- Paper:
A Two-Stage System for Arabic Handwritten Digit Recognition Tested on a New Large Database.
EA El-Sherif, S Abdelazeem
Artificial intelligence and pattern recognition, 237-242
- Leaderboard:
- Point of Contact:
Ezzat ezzat.el... | [
"# Dataset Card for MADBase",
"## Dataset Description\n\n- Homepage:\n URL\n- Repository: \n- Paper:\nA Two-Stage System for Arabic Handwritten Digit Recognition Tested on a New Large Database.\nEA El-Sherif, S Abdelazeem\nArtificial intelligence and pattern recognition, 237-242\n- Leaderboard: \n- Point of Cont... | [
"TAGS\n#task_categories-image-classification #size_categories-10K<n<100K #language-Arabic #region-us \n",
"# Dataset Card for MADBase",
"## Dataset Description\n\n- Homepage:\n URL\n- Repository: \n- Paper:\nA Two-Stage System for Arabic Handwritten Digit Recognition Tested on a New Large Database.\nEA El-Sher... | [
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88ebeccf8a7c57143bd55125254033927e5a0f3c | From "MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering"
(Pal et al.), MedMCQA is a "multiple-choice question answering (MCQA) dataset designed to address
real-world medical entrance exam questions." The dataset "...has more than 194k high-quality AIIMS & NEET PG
entrance e... | lighteval/med_mcqa | [
"arxiv:2203.14371",
"region:us"
] | 2023-05-11T06:18:58+00:00 | {} | 2023-05-16T08:28:33+00:00 | [
"2203.14371"
] | [] | TAGS
#arxiv-2203.14371 #region-us
| From "MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering"
(Pal et al.), MedMCQA is a "multiple-choice question answering (MCQA) dataset designed to address
real-world medical entrance exam questions." The dataset "...has more than 194k high-quality AIIMS & NEET PG
entrance e... | [] | [
"TAGS\n#arxiv-2203.14371 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-2203.14371 #region-us \n"
] |
a9c08131653ed770c547fe8971f4e81a759ad685 | # Dataset Card for "medmcqa-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/medmcqa-neg-answer | [
"region:us"
] | 2023-05-11T07:18:22+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "opa", "dtype": "string"}, {"name": "opb", "dtype": "string"}, {"name": "opc", "dtype": "string"}, {"name": "opd", "dtype": "string"}, {"name": "cop", "dtype": {"class_label": {"names": {"0": "a", "1": "b... | 2023-05-15T03:43:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "medmcqa-neg-answer"
More Information needed | [
"# Dataset Card for \"medmcqa-neg-answer\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"medmcqa-neg-answer\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"medmcqa-neg-answer\"\n\nMore Information needed"
] |
a393b8bc697c0fd993629e0f3d12e0ccf73c7ef9 | # Dataset Card for "pokemon-512-valid"
A cleaned + upsampled-to-512px-square version of https://www.kaggle.com/datasets/djilax/pkmn-image-dataset, suitable for training high-resolution unconditional image generators.
source from [madebyollin/pokemon-512](https://huggingface.co/datasets/madebyollin/pokemon-512)
80% t... | miluELK/pokemon-512-valid | [
"region:us"
] | 2023-05-11T08:12:51+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}]}} | 2023-05-12T06:41:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pokemon-512-valid"
A cleaned + upsampled-to-512px-square version of URL suitable for training high-resolution unconditional image generators.
source from madebyollin/pokemon-512
80% train_dataset + 10% test_dataset + 10% valid_dataset
I use the following code to split it
I customed a "train_un... | [
"# Dataset Card for \"pokemon-512-valid\"\n\nA cleaned + upsampled-to-512px-square version of URL suitable for training high-resolution unconditional image generators.\n\nsource from madebyollin/pokemon-512\n\n80% train_dataset + 10% test_dataset + 10% valid_dataset\n\nI use the following code to split it\n\n\nI cu... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pokemon-512-valid\"\n\nA cleaned + upsampled-to-512px-square version of URL suitable for training high-resolution unconditional image generators.\n\nsource from madebyollin/pokemon-512\n\n80% train_dataset + 10% test_dataset + 10% valid_dataset\n\nI use the following c... | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"pokemon-512-valid\"\n\nA cleaned + upsampled-to-512px-square version of URL suitable for training high-resolution unconditional image generators.\n\nsource from madebyollin/pokemon-512\n\n80% train_dataset + 10% test_dataset + 10% valid_dataset\n\nI use the followin... |
7100bba65de6af96129ee615b9a79d4cc23bbd84 | # Dataset Card for "oasst_hh_shp_hellaswag_webgpt_rm_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | reciprocate/oasst_hh_shp_hellaswag_webgpt_rm_dataset | [
"region:us"
] | 2023-05-11T08:44:47+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "replies", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 395107894.0, "num_examples": 264534}, {"name": "test", "num_bytes": 5859289.0, "num_examples": 2874}], "download_size": 232712113, "dataset_size": 400967183.0}} | 2023-05-12T06:51:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "oasst_hh_shp_hellaswag_webgpt_rm_dataset"
More Information needed | [
"# Dataset Card for \"oasst_hh_shp_hellaswag_webgpt_rm_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"oasst_hh_shp_hellaswag_webgpt_rm_dataset\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"oasst_hh_shp_hellaswag_webgpt_rm_dataset\"\n\nMore Information needed"
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9900213c8af85dc85f3534290da1dcdde81aad04 | zhovice dataset
# use
```python
dataset = load_dataset('SeanSleat/zhvoice', data_dir='/path/to/aishu')
```
# install
需要 sox 支持mp3
需要 将zhmagicdata.zip 3个文件合并
| SeanSleat/zhvoice | [
"region:us"
] | 2023-05-11T09:10:04+00:00 | {} | 2023-05-11T09:11:01+00:00 | [] | [] | TAGS
#region-us
| zhovice dataset
# use
# install
需要 sox 支持mp3
需要 将zhmagicdata.zip 3个文件合并
| [
"# use",
"# install \n\n需要 sox 支持mp3\n需要 将zhmagicdata.zip 3个文件合并"
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ae8354db69cf249d145234bf2d304a05b093e2fb |
# PoC (Patents with One Citation) dataset
This dataset is useful for training or evaluating models that predict patent-to-patent similarity, such as those used for patent searching.
It was developed and used for the training of an ML model that powers the [PQAI](https://search.projectpq.ai/) search engine.
## Deta... | pqai/PoC | [
"license:mit",
"region:us"
] | 2023-05-11T09:34:23+00:00 | {"license": "mit"} | 2023-05-11T09:48:23+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# PoC (Patents with One Citation) dataset
This dataset is useful for training or evaluating models that predict patent-to-patent similarity, such as those used for patent searching.
It was developed and used for the training of an ML model that powers the PQAI search engine.
## Details
The dataset contains 90,013... | [
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8083dbe64f82e17b6be070a02b9239e9b847b6ce | # Dataset Card for "tedlium-data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sanchit-gandhi/tedlium-data | [
"region:us"
] | 2023-05-11T10:35:59+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "string"}, {"name": "gender", "dtype": {"class_label": {"names": {"0": "unknown", "1": "female", "2": "male"}}}}, {"name": "file", "dtype": "string"}, {"na... | 2023-05-11T11:18:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tedlium-data"
More Information needed | [
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7a52dc55fb57889341955ac0f3528c858ec0143d | # Dataset Card for "rm-static-format-oa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | reciprocate/hh-static-rm-format-oa | [
"region:us"
] | 2023-05-11T11:45:47+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "selected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 92536237, "num_examples": 76256}, {"name": "test", "num_bytes": 6219778, "num_examples": 5103}], "download_size": 57673726, "... | 2023-05-11T12:42:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rm-static-format-oa"
More Information needed | [
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8b37df93e92b04341eaabc74acdf618ceb5736f2 |
[See below for English](#bangor-transcription-bank)
# Banc Trawsgrifiadau Bangor
Dyma fanc o 35 awr 39 munud a 53 eiliad o segmentau o leferydd naturiol dros hanner cant o gyfranwyr ar ffurf ffeiliau mp3, ynghyd â thrawsgrifiadau 'verbatim' cyfatebol o’r lleferydd ar ffurf ffeil .tsv. Mae'r mwyafrif o'r lleferydd yn... | techiaith/banc-trawsgrifiadau-bangor | [
"size_categories:10K<n<100K",
"language:cy",
"license:cc0-1.0",
"verbatim transcriptions",
"speech recognition",
"region:us"
] | 2023-05-11T12:08:07+00:00 | {"language": ["cy"], "license": "cc0-1.0", "size_categories": ["10K<n<100K"], "pretty_name": "Banc Trawsgrifiadau Bangor", "tags": ["verbatim transcriptions", "speech recognition"], "dataset_info": {"features": [{"name": "path", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 48000}}}, {"name... | 2024-01-15T13:36:45+00:00 | [] | [
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#size_categories-10K<n<100K #language-Welsh #license-cc0-1.0 #verbatim transcriptions #speech recognition #region-us
| See below for English
Banc Trawsgrifiadau Bangor
==========================
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cb9c2fb6b2e322e70386cfd21356a631af711ce4 | # Dataset Card for FT Speech
## Dataset Description
- **Repository:** <https://ftspeech.github.io/>
- **Point of Contact:** [Dan Saattrup Nielsen](mailto:dan.nielsen@alexandra.dk)
- **Size of downloaded dataset files:** 101.78 GB
- **Size of the generated dataset:** 214.15 GB
- **Total amount of disk used:** 315.93 G... | alexandrainst/ftspeech | [
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| # Dataset Card for FT Speech
## Dataset Description
- Repository: <URL
- Point of Contact: Dan Saattrup Nielsen
- Size of downloaded dataset files: 101.78 GB
- Size of the generated dataset: 214.15 GB
- Total amount of disk used: 315.93 GB
### Dataset Summary
This dataset is an upload of the FT Speech dataset.
The... | [
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5b7e4225e70b82f8ae86ec36d8bb0dfb5a9ed6a9 | # Dataset Card for "batch_indexing_machine_multitask"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Circularmachines/batch_indexing_machine_multitask | [
"region:us"
] | 2023-05-11T12:11:59+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "0", "dtype": "float64"}, {"name": "1", "dtype": "float64"}, {"name": "2", "dtype": "float64"}, {"name": "3", "dtype": "float64"}, {"name": "4", "dtype": "float64"}, {"name": "5", "dtype": "float64"}, {"name": "6", "dtype": "float64"}, {"name"... | 2023-05-11T18:34:02+00:00 | [] | [] | TAGS
#region-us
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More Information needed | [
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478caeb97e8cc8ae9d1370eabb463f81080a38d3 |
This is the same dataset as [`DeveloperOats/DBPedia_Classes`](https://huggingface.co/datasets/DeveloperOats/DBPedia_Classes).
The only differences are
1. Addition of a unique identifier, `uid`
1. Addition of the indices, that is 3 columns with the embeddings of 3 different sentence-transformers
- `all-mpnet-b... | pietrolesci/DBPedia_Classes_indexed | [
"task_categories:text-classification",
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#task_categories-text-classification #size_categories-100K<n<1M #language-English #region-us
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This is the same dataset as 'DeveloperOats/DBPedia_Classes'.
The only differences are
1. Addition of a unique identifier, 'uid'
1. Addition of the indices, that is 3 columns with the embeddings of 3 different sentence-transformers
- 'all-mpnet-base-v2'
- 'multi-qa-mpnet-base-dot-v1'
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ba6b3c3c6f6401632b3a9416a42382cbd54e1f57 | ### As seen on https://huggingface.co/blog/assisted-generation
---
title: "Assisted Generation: a new direction toward low-latency text generation"
thumbnail: /blog/assets/assisted-generation/thumbnail.png
authors:
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---
# Assisted Generation: a new direction toward low-latency text generation
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938e2af60aa48a7c974841a968ade2fc9c58b151 |
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5e9bb6fe140531a0c47216530f0cefba7cd5c561 | # Dataset Card for "oasst1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ybelkada/oasst1 | [
"region:us"
] | 2023-05-11T12:50:58+00:00 | {"dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 59236805.7, "num_examples": 39663}, {"name": "test", "num_bytes": 6581867.3, "num_examples": 4407}], "download_size": 38472497, "dataset_... | 2023-05-11T12:51:08+00:00 | [] | [] | TAGS
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376523e151ad3a736b1ecdec55730c935a0f65c8 | # Train (80%), val (10%), test (10%) splits for IWildCam 2022
Each text file is a list of sequence IDs. We sampled from the original train set samples, that has `count` annotations, which is 1780 samples total. | kiyoonkim/iwildcam-2022-splits | [
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1f486923d43b8dee4f1603597ee0e777c22b5585 | # Dataset Card for "oasst1-tiny-subset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ybelkada/oasst1-tiny-subset | [
"region:us"
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5dfefeaae18a02989dd938fe539887fa4551db8f | # Fine tuning progress validation - RedPajama 3B, StableLM Alpha 7B, Open-LLaMA
This repository contains the progress of fine-tuning models: RedPajama 3B, StableLM Alpha 7B, Open-LLaMA. These models have been fine-tuned on a specific text dataset and the results of the fine-tuning process are provided in the text file... | kstevica/llm-comparison | [
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0c9308136e4b30872d4d66b09cea8ab37899adde | # Dataset Card for "randomized_raw_miniwob_episodes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LucasThil/randomized_raw_miniwob_episodes | [
"region:us"
] | 2023-05-11T13:57:10+00:00 | {"dataset_info": {"features": [{"name": "task_name", "dtype": "string"}, {"name": "utterance", "dtype": "string"}, {"name": "reward", "dtype": "float64"}, {"name": "raw_reward", "dtype": "float64"}, {"name": "processed_states", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1611819051, "num_examples": 1... | 2023-05-13T12:57:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "randomized_raw_miniwob_episodes"
More Information needed | [
"# Dataset Card for \"randomized_raw_miniwob_episodes\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"randomized_raw_miniwob_episodes\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"randomized_raw_miniwob_episodes\"\n\nMore Information needed"
] |
769a15e44e7d691148dd05e54ae2b058ceaed1f0 | # PIE Dataset Card for "brat"
This is a [PyTorch-IE](https://github.com/ChristophAlt/pytorch-ie) wrapper for the
[BRAT Huggingface dataset loading script](https://huggingface.co/datasets/DFKI-SLT/brat).
## Dataset Variants
The dataset provides the following variants:
- `default`: The original dataset. Documents are... | pie/brat | [
"region:us"
] | 2023-05-11T14:25:51+00:00 | {} | 2024-01-03T13:25:22+00:00 | [] | [] | TAGS
#region-us
| # PIE Dataset Card for "brat"
This is a PyTorch-IE wrapper for the
BRAT Huggingface dataset loading script.
## Dataset Variants
The dataset provides the following variants:
- 'default': The original dataset. Documents are of type 'BratDocument' (with 'LabeledMultiSpan' annotations, see below).
- 'merge_fragmented_s... | [
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7cf859bf3eecc4b37deee2e0f7f1cea2976d23de | # Dataset Card for "drug_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | P3ps/drug_dataset | [
"region:us"
] | 2023-05-11T14:33:11+00:00 | {"dataset_info": {"features": [{"name": "condition", "dtype": "string"}, {"name": "review", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 38930814, "num_examples": 69082}, {"name": "test", "num_bytes": 12987201, "num_examples": 23051}], "download_size": 29791121, "d... | 2023-05-11T14:33:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "drug_dataset"
More Information needed | [
"# Dataset Card for \"drug_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"drug_dataset\"\n\nMore Information needed"
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c13d071429abf65615d6b17cce6ed8eddbd902c9 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hug... | ylzz1997/sovits-4.0-pretrained-model | [
"region:us"
] | 2023-05-11T14:39:00+00:00 | {} | 2024-01-30T16:33:01+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
### Supported Tasks and Leaderboards
### Languages
... | [
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:",
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"### Supported Tasks and Leaderb... | [
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a9c14a58b5f723668ab69c1f5484b966e27ba69b | # pixel giffusion
Dataset of pixel-style art generated from stable-diffusion model | sunilSabnis/pixelart | [
"license:mit",
"region:us"
] | 2023-05-11T14:55:47+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 831007653.0, "num_examples": 2000}], "download_size": 831037182, "dataset_size": 831007653.0}} | 2023-05-12T18:06:23+00:00 | [] | [] | TAGS
#license-mit #region-us
| # pixel giffusion
Dataset of pixel-style art generated from stable-diffusion model | [
"# pixel giffusion\nDataset of pixel-style art generated from stable-diffusion model"
] | [
"TAGS\n#license-mit #region-us \n",
"# pixel giffusion\nDataset of pixel-style art generated from stable-diffusion model"
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"passage: TAGS\n#license-mit #region-us \n# pixel giffusion\nDataset of pixel-style art generated from stable-diffusion model"
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a8ae39963cef8309a23c63334cd5c6c6604942f2 | # Universal Text Classification Dataset (UTCD)
## Load dataset
```python
from datasets import load_dataset
dataset = load_dataset('claritylab/utcd', name='in-domain')
```
## Description
UTCD is a curated compilation of 18 datasets revised for Zero-shot Text Classification spanning 3 aspect categories of Sentiment, ... | claritylab/utcd | [
"task_categories:text-classification",
"annotations_creators:no-annotation",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"language:en",
"license:mit",
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"arxiv:2010.12421",
"arxiv:1509.01626",
"arxiv:1307.5336",
"arxiv:1909.05855",
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"arxiv:... | 2023-05-11T15:17:23+00:00 | {"annotations_creators": ["no-annotation"], "language": ["en"], "license": "mit", "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "task_categories": ["text-classification"], "pretty_name": "UTCD", "dataset_info": [{"config_name": "in-domain", "features": [{"name": "text", "dtype": "string"}, {"name... | 2023-05-24T16:27:42+00:00 | [
"2005.00547",
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"1909.05855",
"1909.02027",
"2011.13205",
"2003.04807",
"1805.10190",
"1903.05566"
] | [
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============================================
Load dataset
------------
Description
-----------
UTCD is a curated compilation of 18 datasets revised for Zero-shot Text Classification spanning 3 aspect categories of Sentiment, Intent/Dialogue, and Topic classification. U... | [
"### Data Samples\n\n\nEach dataset sample contains the text, the label encoded as an integer, and the dataset name encoded as an integer.",
"### Datasets Contained\n\n\nThe UTCD dataset contains 18 datasets, 9 'in-domain', 9 'out-of-domain', spanning 3 aspects: 'sentiment', 'intent' and 'topic'.\n\n\nBelow are s... | [
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10725454939f2fd5daa175b211ca73aef8d27102 | # Dataset Card for "dataset_easy_ocr_v0.3.0_clean"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | fimu-docproc-research/dataset_easy_ocr_v0.3.0_clean | [
"region:us"
] | 2023-05-11T15:21:45+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "words", "sequence": "string"}, {"name": "bboxes", "sequence": {"sequence": "float32"}}, {"name": "image_path", "dtype": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "DIC", "1": "IBAN", "2": "ICO", "3": "O", "4": "... | 2023-06-17T10:03:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset_easy_ocr_v0.3.0_clean"
More Information needed | [
"# Dataset Card for \"dataset_easy_ocr_v0.3.0_clean\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"dataset_easy_ocr_v0.3.0_clean\"\n\nMore Information needed"
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ef4f3d5804ffb9209037060e65a10a744dc6f18e | # Ukrainian Hypernymy Pairs Dataset
## Background
Hypernymy is the super-subordinate or ISA semantic relation that links more general terms to more specific ones. For example, *rose* is a hyponym of *flower*, a hypernym of *rose*. Words that are hyponyms of the same hypernym are called co-hyponyms, for instance, *rose... | lang-uk/hypernymy_pairs | [
"task_categories:question-answering",
"task_categories:summarization",
"size_categories:100K<n<1M",
"language:uk",
"region:us"
] | 2023-05-11T16:03:25+00:00 | {"language": ["uk"], "size_categories": ["100K<n<1M"], "task_categories": ["question-answering", "summarization"]} | 2023-05-11T16:15:45+00:00 | [] | [
"uk"
] | TAGS
#task_categories-question-answering #task_categories-summarization #size_categories-100K<n<1M #language-Ukrainian #region-us
| Ukrainian Hypernymy Pairs Dataset
=================================
Background
----------
Hypernymy is the super-subordinate or ISA semantic relation that links more general terms to more specific ones. For example, *rose* is a hyponym of *flower*, a hypernym of *rose*. Words that are hyponyms of the same hypernym ... | [] | [
"TAGS\n#task_categories-question-answering #task_categories-summarization #size_categories-100K<n<1M #language-Ukrainian #region-us \n"
] | [
47
] | [
"passage: TAGS\n#task_categories-question-answering #task_categories-summarization #size_categories-100K<n<1M #language-Ukrainian #region-us \n"
] |
cccc729272c9fc2b507376776ec68d6fdfec1830 |
# DAIS-2023 Dataset
This dataset contains scraped text data from the Databricks Data and AI Summit 2023 (DAIS 2023) [homepage](https://www.databricks.com/dataaisummit/)
as well as text from any public page that is linked in that page or is a two-hop linked page.
We have used this dataset to fine-tune our [DAIS DLite... | aisquared/dais-2023 | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-05-11T16:27:21+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation"], "pretty_name": "Databricks Data and AI Summit 2023 Website Content"} | 2023-06-25T22:55:16+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #license-apache-2.0 #region-us
|
# DAIS-2023 Dataset
This dataset contains scraped text data from the Databricks Data and AI Summit 2023 (DAIS 2023) homepage
as well as text from any public page that is linked in that page or is a two-hop linked page.
We have used this dataset to fine-tune our DAIS DLite model, along with our dataset of AI-generate... | [
"# DAIS-2023 Dataset\n\nThis dataset contains scraped text data from the Databricks Data and AI Summit 2023 (DAIS 2023) homepage\nas well as text from any public page that is linked in that page or is a two-hop linked page.\n\nWe have used this dataset to fine-tune our DAIS DLite model, along with our dataset of AI... | [
"TAGS\n#task_categories-text-generation #language-English #license-apache-2.0 #region-us \n",
"# DAIS-2023 Dataset\n\nThis dataset contains scraped text data from the Databricks Data and AI Summit 2023 (DAIS 2023) homepage\nas well as text from any public page that is linked in that page or is a two-hop linked pa... | [
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"passage: TAGS\n#task_categories-text-generation #language-English #license-apache-2.0 #region-us \n# DAIS-2023 Dataset\n\nThis dataset contains scraped text data from the Databricks Data and AI Summit 2023 (DAIS 2023) homepage\nas well as text from any public page that is linked in that page or is a two-hop linked... |
05bae04ee9a090d2935f0f17a978b94858f39083 |
# DiffusionDB-Pixelart
## Table of Contents
- [DiffusionDB](#diffusiondb)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
... | jainr3/diffusiondb-pixelart | [
"task_categories:text-to-image",
"task_categories:image-to-text",
"task_ids:image-captioning",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:n>1T",
"source_datasets:modified",
"language:en",
"license:cc0-1.0",
"stable diffusion"... | 2023-05-11T16:28:21+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": ["n>1T"], "source_datasets": ["modified"], "task_categories": ["text-to-image", "image-to-text"], "task_ids": ["image-captioning"], "pretty_name... | 2023-05-11T17:59:45+00:00 | [
"2210.14896"
] | [
"en"
] | TAGS
#task_categories-text-to-image #task_categories-image-to-text #task_ids-image-captioning #annotations_creators-no-annotation #language_creators-found #multilinguality-multilingual #size_categories-n>1T #source_datasets-modified #language-English #license-cc0-1.0 #stable diffusion #prompt engineering #prompts #arxi... | DiffusionDB-Pixelart
====================
Table of Contents
-----------------
* DiffusionDB
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Subset
+ Dataset Structure
- Data Instances
- Data Fields
- Dataset Metadata
* Metadata Schema
... | [
"### Dataset Summary\n\n\nThis is a subset of the DiffusionDB 2M dataset which has been turned into pixel-style art.\n\n\nDiffusionDB is the first large-scale text-to-image prompt dataset. It contains 14 million images generated by Stable Diffusion using prompts and hyperparameters specified by real users.\n\n\nDif... | [
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1949c2edf1c8bacc133ee5015bc65bb7da4f0672 |
Dataset created from bittensor's subnet1. Will be constantly updated as I add more Q/A.
Dataset is currently in "raw" format, would love to have something prettier for loading into datasets. | mrseeker87/bittensor_qa | [
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-05-11T16:56:45+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"]} | 2023-05-12T18:19:04+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-English #license-cc-by-sa-4.0 #region-us
|
Dataset created from bittensor's subnet1. Will be constantly updated as I add more Q/A.
Dataset is currently in "raw" format, would love to have something prettier for loading into datasets. | [] | [
"TAGS\n#task_categories-question-answering #size_categories-1K<n<10K #language-English #license-cc-by-sa-4.0 #region-us \n"
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] |
b1a0d3551ee061a97ca287f3f361d5fe3d022e2b | This is the same dataset as [`armanc/pubmed-rct20k`](https://huggingface.co/datasets/armanc/pubmed-rct20k).
The only differences are
1. Addition of a unique identifier, `uid`
1. Addition of the indices, that is 3 columns with the embeddings of 3 different sentence-transformers
- `all-mpnet-base-v2`
- `multi-... | pietrolesci/pubmed-20k-rct | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2023-05-11T17:28:35+00:00 | {"language": ["en"], "task_categories": ["text-classification"], "dataset_info": {"features": [{"name": "abstract_id", "dtype": "string"}, {"name": "labels", "dtype": {"class_label": {"names": {"0": "background", "1": "conclusions", "2": "methods", "3": "objective", "4": "results"}}}}, {"name": "text", "dtype": "string... | 2023-05-12T09:04:08+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| This is the same dataset as 'armanc/pubmed-rct20k'.
The only differences are
1. Addition of a unique identifier, 'uid'
1. Addition of the indices, that is 3 columns with the embeddings of 3 different sentence-transformers
- 'all-mpnet-base-v2'
- 'multi-qa-mpnet-base-dot-v1'
- 'all-MiniLM-L12-v2'
1. Renam... | [] | [
"TAGS\n#task_categories-text-classification #language-English #region-us \n"
] | [
21
] | [
"passage: TAGS\n#task_categories-text-classification #language-English #region-us \n"
] |
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