sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
63215ab73d1b4993ec61768e0246dc03c12cb567 | # Dataset Card for "wikitext-2__llama__block-size-1024"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | carlosejimenez/wikitext-2__llama__block-size-1024 | [
"region:us"
] | 2023-03-21T00:56:02+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 4467438, "num_examples": 331}, {"name": "train", "num_bytes": 1864955854, "num_examples": 137385}, {"name": "validation", "num_bytes":... | 2023-03-21T01:15:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikitext-2__llama__block-size-1024"
More Information needed | [
"# Dataset Card for \"wikitext-2__llama__block-size-1024\"\n\nMore Information needed"
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88c38d5a4fb8951d338f72f881e71dd23bd415d6 | # Dataset Card for "wikitext-103__llama__block-size-1024"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | carlosejimenez/wikitext-103__llama__block-size-1024 | [
"region:us"
] | 2023-03-21T01:17:53+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 4367920, "num_examples": 321}, {"name": "train", "num_bytes": 1828055797, "num_examples": 133529}, {"name": "validation", "num_bytes":... | 2023-03-21T02:56:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikitext-103__llama__block-size-1024"
More Information needed | [
"# Dataset Card for \"wikitext-103__llama__block-size-1024\"\n\nMore Information needed"
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cad1d1df8fd915fbfa09eb02d862515796f7b8e9 | # Dataset Card for "face_synthetics_spiga_captioned"
This is a copy of the [Microsoft FaceSynthetics dataset with SPIGA-calculated landmark annotations](https://huggingface.co/datasets/pcuenq/face_synthetics_spiga), and additional BLIP-generated captions.
For a copy of the original FaceSynthetics dataset with no extr... | multimodalart/facesyntheticsspigacaptioned | [
"region:us"
] | 2023-03-21T02:37:14+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "image_seg", "dtype": "image"}, {"name": "landmarks", "dtype": "string"}, {"name": "spiga", "sequence": {"sequence": "float64"}}, {"name": "spiga_seg", "dtype": "image"}, {"name": "image_caption", "dtype": "string"}], "splits": [{"name": "trai... | 2023-03-23T14:56:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "face_synthetics_spiga_captioned"
This is a copy of the Microsoft FaceSynthetics dataset with SPIGA-calculated landmark annotations, and additional BLIP-generated captions.
For a copy of the original FaceSynthetics dataset with no extra annotations, please refer to pcuenq/face_synthetics.
Here is ... | [
"# Dataset Card for \"face_synthetics_spiga_captioned\"\n\nThis is a copy of the Microsoft FaceSynthetics dataset with SPIGA-calculated landmark annotations, and additional BLIP-generated captions. \nFor a copy of the original FaceSynthetics dataset with no extra annotations, please refer to pcuenq/face_synthetics.... | [
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76d569c5763bb660521459bd740d1d4c6a86f364 | # AutoTrain Dataset for project: t5baseparaphrase
## Dataset Description
This dataset has been automatically processed by AutoTrain for project t5baseparaphrase.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
... | sieu-n/autotrain-data-t5baseparaphrase | [
"task_categories:summarization",
"region:us"
] | 2023-03-21T03:28:45+00:00 | {"task_categories": ["summarization"]} | 2023-03-21T03:29:31+00:00 | [] | [] | TAGS
#task_categories-summarization #region-us
| AutoTrain Dataset for project: t5baseparaphrase
===============================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project t5baseparaphrase.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
--... | [
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"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
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c01766f98ca32964d7e3808b89d2f28da2fb4b53 |
This dataset contains a single file full of network security questions in Chinese.
Could be used as good initial sources for scrapers, though not good as your browsing history.
| James4Ever0/network_security_questions | [
"license:wtfpl",
"region:us"
] | 2023-03-21T05:20:43+00:00 | {"license": "wtfpl"} | 2024-01-29T16:25:21+00:00 | [] | [] | TAGS
#license-wtfpl #region-us
|
This dataset contains a single file full of network security questions in Chinese.
Could be used as good initial sources for scrapers, though not good as your browsing history.
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097357c7c76141cb1b2b5b3f311fe9439886f1ce | # Dataset Card for "sts17-crosslingual"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lingjzhu/sts17-crosslingual | [
"region:us"
] | 2023-03-21T05:43:21+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "score", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 742173, "num_examples": 5346}], "download_size": 429499, "dataset_size": 742173}} | 2023-03-21T05:43:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sts17-crosslingual"
More Information needed | [
"# Dataset Card for \"sts17-crosslingual\"\n\nMore Information needed"
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f06b35f784489ca50bb1ff8ca804d7d6f40c1e69 | # AnyTXT Searcher
------
AnyTXT Searcher is a powerful local data full-text search engine, just like a local disk Google search engine. It is your free Google Desktop Search alternative.
AnyTXT Searcher has a powerful document parsing engine built in, which extracts the text of commonly used documents/images(OCR) wit... | anytxt/release | [
"region:us"
] | 2023-03-21T05:56:52+00:00 | {} | 2023-03-22T07:13:35+00:00 | [] | [] | TAGS
#region-us
| # AnyTXT Searcher
------
AnyTXT Searcher is a powerful local data full-text search engine, just like a local disk Google search engine. It is your free Google Desktop Search alternative.
AnyTXT Searcher has a powerful document parsing engine built in, which extracts the text of commonly used documents/images(OCR) wit... | [
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c4f60b8def4104aab588c81c214b4b7670bf7ada | # Dataset Card for "UN Sitemap Multilingual HTML Corpus"
## Update Time +8:00 2023-3-23 17:25:20
## Dataset Summary
此数据集是从联合国网站提供的的sitemap中爬取的，包含了各种语言的HTML文件，并按照语言进行分类。数据集包含了不同语言的文章、新闻等联合国文本。数据集旨在为研究人员、学者和语言技术开发人员提供一个多语言文本集，可用于各种自然语言处理任务和应用。
数据集包括以下语言：汉语（zh）、英语（en）、西班牙语（ar）、俄语（ru）、西班牙语（es）、法语（fr）。
## Dataset Struc... | ranWang/UN_Sitemap_Multilingual_HTML_Corpus | [
"region:us"
] | 2023-03-21T06:28:43+00:00 | {"dataset_info": {"features": [{"name": "uuid", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "html_content", "dtype": "string"}], "splits": [{"name": "zh", "num_bytes": 4667272633, "num_examples": 39850}, {"name": "en", "num_bytes": 8180560380, "num_examples": 6... | 2023-06-15T10:57:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UN Sitemap Multilingual HTML Corpus"
## Update Time +8:00 2023-3-23 17:25:20
## Dataset Summary
此数据集是从联合国网站提供的的sitemap中爬取的，包含了各种语言的HTML文件，并按照语言进行分类。数据集包含了不同语言的文章、新闻等联合国文本。数据集旨在为研究人员、学者和语言技术开发人员提供一个多语言文本集，可用于各种自然语言处理任务和应用。
数据集包括以下语言：汉语（zh）、英语（en）、西班牙语（ar）、俄语（ru）、西班牙语（es）、法语（fr）。
## Dataset Struc... | [
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248355764dfab017a3d0bf4fa4f29d5b517f7ecd | # Dataset Card for "har_processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hazardous/har_processed | [
"region:us"
] | 2023-03-21T06:29:06+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "calling", "1": "clapping", "2": "cycling", "3": "dancing", "4": "drinking", "5": "eating", "6": "fighting", "7": "hugging", "8": "laughing", "9": "listening_to_music", "10": "running", "11": "... | 2023-03-21T06:41:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "har_processed"
More Information needed | [
"# Dataset Card for \"har_processed\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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6af67d7d80ddbafb22dc002349d4519f159fcf4e | # Dataset Card for "patched_test_p_150_f_UCH_v4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_test_p_150_f_UCH_v4 | [
"region:us"
] | 2023-03-21T07:06:54+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 35036323, "num_examples": 75442}], "download_size": 3105585, "dataset_size": 35036323}} | 2023-03-21T07:07:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_test_p_150_f_UCH_v4"
More Information needed | [
"# Dataset Card for \"patched_test_p_150_f_UCH_v4\"\n\nMore Information needed"
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d74802f11e1ada15e0318ecf6ff3908ed1d98aa3 | # Dataset Card for "patched_test_p_150_f_UCH_m1_predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_test_p_150_f_UCH_m1_predictions | [
"region:us"
] | 2023-03-21T07:32:18+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "m1_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 35338091, "num_examples": 75442}], "download_size": 3370181, "dataset_size": 35338091}} | 2023-03-21T07:32:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_test_p_150_f_UCH_m1_predictions"
More Information needed | [
"# Dataset Card for \"patched_test_p_150_f_UCH_m1_predictions\"\n\nMore Information needed"
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e1d57f13a9a49a4df20fe151eb8d8e1b7407b6a5 | # Dataset Card for "muti-language-tatoeba"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bigpang/muti-language-tatoeba | [
"region:us"
] | 2023-03-21T08:02:05+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "labels", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16672765, "num_examples": 280000}, {"name": "test", "num_bytes": 2092587, "num_examples": 35000}, {"name": "valid", "num_bytes": 2087357, "num_examples": 35000}], "downlo... | 2023-04-14T06:11:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "muti-language-tatoeba"
More Information needed | [
"# Dataset Card for \"muti-language-tatoeba\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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3955a2541c55aaad850793fb5b1f70ea5bc2eed1 | # Dataset Card for "un_corpus_seed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hayesyang/un_corpus_seed | [
"region:us"
] | 2023-03-21T08:08:46+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 258559, "num_examples": 3733}], "download_size": 93162, "dataset_size": 258559}} | 2023-03-21T10:39:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "un_corpus_seed"
More Information needed | [
"# Dataset Card for \"un_corpus_seed\"\n\nMore Information needed"
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2bfb453809a30bea88d321ccb70fe4d68941b061 | # Dataset Card for "un_corpus_content"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hayesyang/un_corpus_content | [
"region:us"
] | 2023-03-21T08:09:07+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "url", "dtype": "string"}, {"name": "status", "dtype": "int64"}, {"name": "content", "dtype": "string"}, {"name": "hash", "dtype": "string"}, {"name": "is_duplicate", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 125504913, "num_e... | 2023-03-21T10:39:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "un_corpus_content"
More Information needed | [
"# Dataset Card for \"un_corpus_content\"\n\nMore Information needed"
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dfc0d8b21321f1b56b90349ca9c600fff946d1dc | # Dataset Card for "piqa-ko"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nayohan/piqa-ko | [
"region:us"
] | 2023-03-21T08:26:30+00:00 | {"dataset_info": {"features": [{"name": "goal", "dtype": "string"}, {"name": "sol1", "dtype": "string"}, {"name": "sol2", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 4835603, "num_examples": 16113}, {"name": "valid", "num_bytes": 548051, "num_examples": 1838}], "d... | 2023-03-21T08:26:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "piqa-ko"
More Information needed | [
"# Dataset Card for \"piqa-ko\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"piqa-ko\"\n\nMore Information needed"
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6a9c9a3a237b52f183d3a2d11c0bddc314c05298 | # Dataset Card for "siqa-ko"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nayohan/siqa-ko | [
"region:us"
] | 2023-03-21T08:26:53+00:00 | {"dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answerA", "dtype": "string"}, {"name": "answerB", "dtype": "string"}, {"name": "answerC", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 8358726,... | 2023-03-21T08:27:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "siqa-ko"
More Information needed | [
"# Dataset Card for \"siqa-ko\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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6adb0750abaaa888f294d26e14411d91d74edf63 | # Dataset Card for "openai_summarize_tldr_human_eval_ppo_result"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pvduy/openai_summarize_tldr_human_eval_ppo_result | [
"region:us"
] | 2023-03-21T08:41:27+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "pvduy/pythia-125M-ppo-summarize-tldr", "dtype": "string"}, {"name": "pvduy/pythia-1B-ppo-summarize-tldr", "dtype": "string"}, {"name": "pvduy/pythia-6B-ppo-summarize-tldr", "dtype": "string"}, {"name": "pvduy/pythia-20B-ppo-summarize-tldr",... | 2023-03-23T01:01:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "openai_summarize_tldr_human_eval_ppo_result"
More Information needed | [
"# Dataset Card for \"openai_summarize_tldr_human_eval_ppo_result\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"openai_summarize_tldr_human_eval_ppo_result\"\n\nMore Information needed"
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9bcdff850229f910d4c69ffc6a2f75f796e31d81 | # Dataset Card for mini_cleaned_diachronic_swe
The Swedish Diachronic Corpus is a project funded by [Swe-Clarin](https://sweclarin.se/eng) and provides a corpus of texts covering the time period from Old Swedish.
The dataset has been preprocessed and can be recreated from here: [Src_code](https://github.com/Borg93/kbuh... | Riksarkivet/mini_cleaned_diachronic_swe | [
"size_categories:1M<n<10M",
"language:sv",
"license:mit",
"historical",
"WIP",
"region:us"
] | 2023-03-21T08:47:21+00:00 | {"language": ["sv"], "license": "mit", "size_categories": ["1M<n<10M"], "pretty_name": "Kbuhist2", "dataset_info": {"features": [{"name": "chunked_text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 14891546.825140134, "num_examples": 8410}, {"name": "train", "num_bytes": 729669858.1748599, "num_exampl... | 2023-03-21T11:36:45+00:00 | [] | [
"sv"
] | TAGS
#size_categories-1M<n<10M #language-Swedish #license-mit #historical #WIP #region-us
| Dataset Card for mini\_cleaned\_diachronic\_swe
===============================================
The Swedish Diachronic Corpus is a project funded by Swe-Clarin and provides a corpus of texts covering the time period from Old Swedish.
The dataset has been preprocessed and can be recreated from here: Src\_code.
Datas... | [
"### Data Splits\n\n\nThis will be further extended!\n\n\n\nAcknowledgements\n----------------\n\n\nWe gratefully acknowledge SWE-clarin for the datasets.\n\n\nEva Pettersson and Lars Borin (2022)\nSwedish Diachronic Corpus\nIn Darja Fišer & Andreas Witt (eds.), CLARIN. The Infrastructure for Language Resources. Be... | [
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57646ff6814084fec0591d71b1d5ac887f2b42d5 |
# Dataset Card for chinese_chatgpt_corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instanc... | sunzeyeah/chinese_chatgpt_corpus | [
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"task_categories:text2text-generation",
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"annotations_creators:no-annotation",
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"multilingu... | 2023-03-21T09:16:21+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["unknown"], "language": ["zh"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["5M<n<10M"], "task_categories": ["text-generation", "text2text-generation", "question-answering", "reinforcement-learning"], "task_ids": ["lan... | 2023-03-23T16:53:47+00:00 | [] | [
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#task_categories-text-generation #task_categories-text2text-generation #task_categories-question-answering #task_categories-reinforcement-learning #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-unknown #multilinguality-monolingual #size_categor... | Dataset Card for chinese\_chatgpt\_corpus
=========================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationa... | [
"### Dataset Summary\n\n\nThis repo collects chinese corpus for Supervised Finetuning (SFT) and Reinforcement Learning From Human Feedback (RLHF).",
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"### Data Instances",
"#### train\\_data\\_exte... | [
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2958b1345150fec263717302b819969e8e1c980f |
# SlovAlapca dataset
This dataset was created using machine translation (DeepL) of the original Alpaca dataset published here: https://github.com/tatsu-lab/stanford_alpaca
Here is an example of the first record...
```json
[
{
"instruction": "Uveďte tri tipy, ako si udržať zdravie.",
"input": "",
... | blip-solutions/SlovAlpaca | [
"task_categories:text-generation",
"language:sk",
"license:other",
"region:us"
] | 2023-03-21T09:23:57+00:00 | {"language": ["sk"], "license": "other", "task_categories": ["text-generation"]} | 2023-03-21T09:35:15+00:00 | [] | [
"sk"
] | TAGS
#task_categories-text-generation #language-Slovak #license-other #region-us
|
# SlovAlapca dataset
This dataset was created using machine translation (DeepL) of the original Alpaca dataset published here: URL
Here is an example of the first record...
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] |
1c3594dc23119256e2cc41224e8f01d91f9577ac | # Dataset Card for "Noise"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MohammedNasri/Noise | [
"region:us"
] | 2023-03-21T09:44:20+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5151937713.875, "num_examples": 38481}, {"name": "test", "num_bytes": 986222326.0, "num_examples": 38481}], "download_size": 5532021982, "da... | 2023-03-21T09:47:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Noise"
More Information needed | [
"# Dataset Card for \"Noise\"\n\nMore Information needed"
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2866d8c71392e7e705d6a72df7754bb0ca5afad7 |
Dataset generated using handwritten fonts
=========================================
Number of images: 300000
Sources:
* [Handwriting generation code](https://github.com/NastyBoget/HandwritingGeneration)
The code was executed with `hkr` option (with fewer augmentations) | nastyboget/synthetic_hkr | [
"task_categories:image-to-text",
"size_categories:100K<n<1M",
"language:ru",
"license:mit",
"region:us"
] | 2023-03-21T09:53:26+00:00 | {"language": ["ru"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["image-to-text"]} | 2023-03-23T18:43:05+00:00 | [] | [
"ru"
] | TAGS
#task_categories-image-to-text #size_categories-100K<n<1M #language-Russian #license-mit #region-us
|
Dataset generated using handwritten fonts
=========================================
Number of images: 300000
Sources:
* Handwriting generation code
The code was executed with 'hkr' option (with fewer augmentations) | [] | [
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1a79069c3f44e32a591290963684974ecc3aafee | # Dataset Card for "openai_summarize_tldr_human_eval_ilql_result"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pvduy/openai_summarize_tldr_human_eval_ilql_result | [
"region:us"
] | 2023-03-21T10:03:34+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "ILQL_125M", "dtype": "string"}, {"name": "ILQL_1B", "dtype": "string"}, {"name": "ILQL_6B", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 176617, "num_examples": 100}], "download_size": 122501, "dataset_size": 176617}} | 2023-03-22T02:57:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "openai_summarize_tldr_human_eval_ilql_result"
More Information needed | [
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11d3c04afd63178e04abec78f8da323cc9427a7d | # Dataset Card for "yelp_short_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | guangyil/yelp_short_v2 | [
"region:us"
] | 2023-03-21T10:10:00+00:00 | {"dataset_info": {"features": [{"name": "bert_token", "sequence": "int64"}, {"name": "gpt2_token", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 89578672.0, "num_examples": 447259}, {"name": "test", "num_bytes": 222800.0, "num_examples": 1000}], "download_size": 21476776, "dataset_size": 89801472.0}} | 2023-03-21T10:10:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "yelp_short_v2"
More Information needed | [
"# Dataset Card for \"yelp_short_v2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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ad612da1a26b53cfb960c8bff98a069a2bd1b0fb |
# Coco dataset loader based on tensorflow dataset coco
## Object Detection
```python
import os
from datasets import load_dataset
from PIL import Image, ImageFont, ImageDraw, ImageColor
def calc_lum(rgb):
return (0.2126*rgb[0] + 0.7152*rgb[1] + 0.0722*rgb[2])
COLOR_MAP = [ImageColor.getrgb(code) for name, code ... | KETI-AIR/coco | [
"task_categories:object-detection",
"size_categories:100K<n<1M",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-03-21T11:05:35+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["object-detection"], "pretty_name": "Coco"} | 2023-03-22T11:45:13+00:00 | [] | [
"en"
] | TAGS
#task_categories-object-detection #size_categories-100K<n<1M #language-English #license-apache-2.0 #region-us
|
# Coco dataset loader based on tensorflow dataset coco
## Object Detection
!sample1
!sample2
## Panoptic segmentation
!sample1
!sample2
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] |
16555b5a36fa8af69f894931fe57235dcdda140a | # Dataset Card for "wikiart-resized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | davanstrien/wikiart-resized | [
"size_categories:10K<n<100K",
"art",
"lam ",
"region:us"
] | 2023-03-21T11:05:48+00:00 | {"size_categories": ["10K<n<100K"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "artist", "dtype": {"class_label": {"names": {"0": "Unknown Artist", "1": "boris-kustodiev", "2": "camille-pissarro", "3": "childe-hassam", "4": "claude-monet", "5": "edgar-degas", "6": "eugene-boudin", "7": ... | 2023-03-21T13:27:06+00:00 | [] | [] | TAGS
#size_categories-10K<n<100K #art #lam #region-us
| # Dataset Card for "wikiart-resized"
More Information needed | [
"# Dataset Card for \"wikiart-resized\"\n\nMore Information needed"
] | [
"TAGS\n#size_categories-10K<n<100K #art #lam #region-us \n",
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"passage: TAGS\n#size_categories-10K<n<100K #art #lam #region-us \n# Dataset Card for \"wikiart-resized\"\n\nMore Information needed"
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b6f1bc1d9c1ef80404b3517e1ff822652c92a9bc | # Dataset Card for "tweets_for_labelling"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dvilasuero/tweets_for_labelling | [
"region:us"
] | 2023-03-21T12:29:05+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "neutral", "2": "positive"}}}}], "splits": [{"name": "train", "num_bytes": 3480.269230769231, "num_examples": 41}, {"name": "test", "num_bytes": 933.7307692307693, "num_example... | 2023-03-21T12:29:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tweets_for_labelling"
More Information needed | [
"# Dataset Card for \"tweets_for_labelling\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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eb952c9415af6729354790c9dc47400586459285 | # PII dataset
## Dataset description
This is an annotated dataset for Personal Identifiable Information (PII) in code. The target entities are: Names, Usernames, Emails, IP addresses, Keys, Passwords, and IDs.
The annotation process involved 1,399 crowd-workers from 35 countries with [Toloka](https://toloka.ai/).
I... | bigcode/bigcode-pii-dataset | [
"task_categories:token-classification",
"language:code",
"region:us"
] | 2023-03-21T12:57:14+00:00 | {"language": ["code"], "task_categories": ["token-classification"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "fragments", "list": [{"name": "category", "dtype": "string"}, {"name": "position", "sequence": "i... | 2023-05-15T09:07:10+00:00 | [] | [
"code"
] | TAGS
#task_categories-token-classification #language-code #region-us
| PII dataset
===========
Dataset description
-------------------
This is an annotated dataset for Personal Identifiable Information (PII) in code. The target entities are: Names, Usernames, Emails, IP addresses, Keys, Passwords, and IDs.
The annotation process involved 1,399 crowd-workers from 35 countries with Tolo... | [] | [
"TAGS\n#task_categories-token-classification #language-code #region-us \n"
] | [
22
] | [
"passage: TAGS\n#task_categories-token-classification #language-code #region-us \n"
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15f16eb89cf4c4633be57a10be1b57772437c74a | # Dataset Card for "preprocessed_birdclef_2023_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Syoy/preprocessed_birdclef_2023_train | [
"region:us"
] | 2023-03-21T13:37:04+00:00 | {"dataset_info": {"features": [{"name": "primary_label", "dtype": {"class_label": {"names": {"0": "yetgre1", "1": "moccha1", "2": "rostur1", "3": "walsta1", "4": "ratcis1", "5": "norfis1", "6": "macshr1", "7": "brrwhe3", "8": "crefra2", "9": "pabspa1", "10": "sltnig1", "11": "cabgre1", "12": "equaka1", "13": "sobfly1",... | 2023-03-21T13:42:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "preprocessed_birdclef_2023_train"
More Information needed | [
"# Dataset Card for \"preprocessed_birdclef_2023_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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1c0bd603f6ab84f13d3434c19ba7443a37aaf85d | # Dataset Card for "birdclef_2023_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Syoy/birdclef_2023_train | [
"region:us"
] | 2023-03-21T13:47:03+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "primary_label", "dtype": {"class_label": {"names": {"0": "yetgre1", "1": "moccha1", "2": "rostur1", "3": "walsta1", "4": "ratcis1", "5": "norfis1", "6": "macshr1", "7": "brrwhe3", "8": "crefra2", "9": "pabspa1", "10": "sltnig1", "11": "cabgre... | 2023-03-21T13:51:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "birdclef_2023_train"
More Information needed | [
"# Dataset Card for \"birdclef_2023_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"birdclef_2023_train\"\n\nMore Information needed"
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ad16b1c02813663d7df5211d176edd8133a454c2 |
# Dataset Card for the Juliet Test Suite 1.3
### Dataset Summary
This Datasets contains all test cases from the NIST's [Juliet test suite](https://samate.nist.gov/SARD/test-suites/112) for the C and C++ programming languages. The dataset contains a benign and a defective implementation of each sample, which have bee... | LorenzH/juliet_test_suite_c_1_3 | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"license:cc0-1.0",
"region:us"
] | 2023-03-21T13:49:04+00:00 | {"license": "cc0-1.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "Juliet Test Suite 1.3"} | 2023-03-21T14:38:12+00:00 | [] | [] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #license-cc0-1.0 #region-us
| Dataset Card for the Juliet Test Suite 1.3
==========================================
### Dataset Summary
This Datasets contains all test cases from the NIST's Juliet test suite for the C and C++ programming languages. The dataset contains a benign and a defective implementation of each sample, which have been extr... | [
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5d43db5d520f0b0ec7a3db194aad0ddcaa4a6092 | # Dataset Card for "wikiart-resized-sample"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | davanstrien/wikiart-resized-sample | [
"region:us"
] | 2023-03-21T14:04:35+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "artist", "dtype": {"class_label": {"names": {"0": "Unknown Artist", "1": "boris-kustodiev", "2": "camille-pissarro", "3": "childe-hassam", "4": "claude-monet", "5": "edgar-degas", "6": "eugene-boudin", "7": "gustave-dore", "8": "ilya-repin", ... | 2023-03-21T20:09:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikiart-resized-sample"
More Information needed | [
"# Dataset Card for \"wikiart-resized-sample\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"wikiart-resized-sample\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"wikiart-resized-sample\"\n\nMore Information needed"
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30a5899284561651363efc827e85a37aacc5a080 | https://huggingface.c.o/datasets/Samuelcr8/Eva | Samuelcr8/Eva | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:aa",
"license:afl-3.0",
"biology",
"region:us"
] | 2023-03-21T14:24:15+00:00 | {"language": ["aa"], "license": "afl-3.0", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "tags": ["biology"]} | 2023-03-21T14:28:13+00:00 | [] | [
"aa"
] | TAGS
#task_categories-question-answering #size_categories-n<1K #language-Afar #license-afl-3.0 #biology #region-us
| https://huggingface.c.o/datasets/Samuelcr8/Eva | [] | [
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ee9f31b8f7b49af0612031f38a7cd93953552db5 | # Dataset Card for "x_thinks_y"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LRudL/x_thinks_y | [
"region:us"
] | 2023-03-21T15:39:07+00:00 | {"dataset_info": {"features": [{"name": "type", "dtype": "string"}, {"name": "false_part", "dtype": "string"}, {"name": "true_version_of_part", "dtype": "string"}, {"name": "entire_statement", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 25046, "num_examples": 96}], "download_size": 18252, "dataset_si... | 2023-03-21T15:39:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "x_thinks_y"
More Information needed | [
"# Dataset Card for \"x_thinks_y\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"x_thinks_y\"\n\nMore Information needed"
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969d59b0b7373f625575476fd31b2c3c743d704e | # Dataset Card for "anthropic_hh_modified"
Total copy of [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf) (all credit and rights to the authors of that), just with some modifications to the format so that it can be used with the [eleuther-elk](https://github.com/EleutherAI/elk/tree/main/elk) repo... | LRudL/anthropic_hh_modified | [
"region:us"
] | 2023-03-21T15:41:42+00:00 | {"dataset_info": {"features": [{"name": "choice0", "dtype": "string"}, {"name": "choice1", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}], "splits": [{"name": "train", "num_bytes": 56635938, "num_examples": 42537}, {"name": "test", "num_bytes": 3195756, "num_examples":... | 2023-03-21T15:45:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "anthropic_hh_modified"
Total copy of Anthropic/hh-rlhf (all credit and rights to the authors of that), just with some modifications to the format so that it can be used with the eleuther-elk repository.
Changes:
- rename column "chosen" to "choice0" and "rejected" to "choice1"
- randomly flip the ... | [
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260a445d139c18787e5ecd00b1acd0f0547b6c08 | # Dataset Card for "hellenistic-greek-plaintext"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ryderwishart/hellenistic-greek-plaintext | [
"region:us"
] | 2023-03-21T15:43:36+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 73193787, "num_examples": 355703}, {"name": "test", "num_bytes": 9681763, "num_examples": 44463}, {"name": "eval", "num_bytes": 8999996, "num_examples": 44463}], "download_size": 45069557, "dataset_size": 9187... | 2023-03-21T16:43:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hellenistic-greek-plaintext"
More Information needed | [
"# Dataset Card for \"hellenistic-greek-plaintext\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hellenistic-greek-plaintext\"\n\nMore Information needed"
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4d662ed99a3e8ac8d1d2e5a5599ad825aef7da44 | # Dataset Card for "hellenistic-greek-lemmas"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ryderwishart/hellenistic-greek-lemmas | [
"region:us"
] | 2023-03-21T15:45:29+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 146758866, "num_examples": 1086734}, {"name": "test", "num_bytes": 14082903, "num_examples": 135842}, {"name": "eval", "num_bytes": 18754547, "num_examples": 135842}], "download_size": 6083954, "dataset_size":... | 2023-03-21T16:45:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hellenistic-greek-lemmas"
More Information needed | [
"# Dataset Card for \"hellenistic-greek-lemmas\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hellenistic-greek-lemmas\"\n\nMore Information needed"
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3ef5968373535ff75324969314660af3d444385f | # Dataset Card for "portuguese_wikineural"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arubenruben/portuguese_wikineural | [
"region:us"
] | 2023-03-21T16:07:03+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-PER", "2": "I-PER", "3": "B-ORG", "4": "I-ORG", "5": "B-LOC", "6": "I-LOC", "7": "B-MISC", "8": "I-MISC"}}}}], "splits": [{"name": "train", "num_bytes": 33140600, "num_e... | 2023-04-10T12:45:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "portuguese_wikineural"
More Information needed | [
"# Dataset Card for \"portuguese_wikineural\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"portuguese_wikineural\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"portuguese_wikineural\"\n\nMore Information needed"
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89d9ace53b05723ed371e55e91bc1ec07afcc7ad | # Dataset Card for "lam_gender"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lamnt2008/lam_gender | [
"region:us"
] | 2023-03-21T16:12:59+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "female", "1": "male"}}}}], "splits": [{"name": "train", "num_bytes": 886700538.492, "num_examples": 188402}, {"name": "validation", "num_bytes": 34511251.337, "num_examples": 10617}], "downloa... | 2023-03-21T16:28:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lam_gender"
More Information needed | [
"# Dataset Card for \"lam_gender\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"lam_gender\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"lam_gender\"\n\nMore Information needed"
] |
bd6b2838302f0ec211c6e1a40c67627736e0bee4 | # Dataset Card for "news-programmatic-labeling"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dvilasuero/news-programmatic-labeling | [
"region:us"
] | 2023-03-21T16:14:53+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Business", "1": "Sci/Tech", "2": "Sports", "3": "World"}}}}], "splits": [{"name": "train", "num_bytes": 167543.4299287411, "num_examples": 673}, {"name": "test", "num_bytes": 42072.57007125891... | 2023-03-21T16:14:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "news-programmatic-labeling"
More Information needed | [
"# Dataset Card for \"news-programmatic-labeling\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"news-programmatic-labeling\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"news-programmatic-labeling\"\n\nMore Information needed"
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2fa911a56b9c5f19cb84a2934136e8745c7a0f25 | ```
@article{salvatore2019logical,
title={A logical-based corpus for cross-lingual evaluation},
author={Salvatore, Felipe and Finger, Marcelo and Hirata Jr, Roberto},
journal={arXiv preprint arXiv:1905.05704},
year={2019}
}
```
| metaeval/clcd-english | [
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-03-21T16:32:25+00:00 | {"language": ["en"], "license": "apache-2.0"} | 2023-06-22T13:07:47+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #region-us
| [] | [
"TAGS\n#language-English #license-apache-2.0 #region-us \n"
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18
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"passage: TAGS\n#language-English #license-apache-2.0 #region-us \n"
] | |
625d605e9450371a66e23c98a3033a98fffcceb8 | # Dataset Card for "new-testament-syntax"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ryderwishart/new-testament-syntax | [
"region:us"
] | 2023-03-21T16:35:19+00:00 | {"dataset_info": {"features": [{"name": "morphgnt_id", "dtype": "string"}, {"name": "morphgnt_head_id", "dtype": "string"}, {"name": "function", "dtype": "string"}, {"name": "ref", "dtype": "string"}, {"name": "Cat", "dtype": "string"}, {"name": "Start", "dtype": "string"}, {"name": "End", "dtype": "string"}, {"name": ... | 2023-03-22T21:07:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "new-testament-syntax"
More Information needed | [
"# Dataset Card for \"new-testament-syntax\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"new-testament-syntax\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"new-testament-syntax\"\n\nMore Information needed"
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6bdcaf5faab615ed9d0299830143a2b777b2f295 | # Dataset Card for "Rettsavgjoerelser"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MasterThesisCBS/Rettsavgjoerelser | [
"region:us"
] | 2023-03-21T16:36:53+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "sak", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "stikkord", "dtype": "string"}, {"name": "Prompt w/suffix", "dtype": "string"}, {"name": "Prompt w/o suffix", "dtype": "string"}, {"name": "prompt length", "dtype": "in... | 2023-03-23T11:10:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Rettsavgjoerelser"
More Information needed | [
"# Dataset Card for \"Rettsavgjoerelser\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Rettsavgjoerelser\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Rettsavgjoerelser\"\n\nMore Information needed"
] |
04346ad8fef940ff7056879d78d40b9c136416b7 |
从小说以及其他来源提取的单/多轮对话语料。 | wybxc/books | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:zh",
"license:odc-by",
"region:us"
] | 2023-03-21T16:43:43+00:00 | {"language": ["zh"], "license": "odc-by", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"]} | 2023-04-03T11:47:08+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-Chinese #license-odc-by #region-us
|
从小说以及其他来源提取的单/多轮对话语料。 | [] | [
"TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-Chinese #license-odc-by #region-us \n"
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42
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"passage: TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-Chinese #license-odc-by #region-us \n"
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546cba9a268d3c45a392baf1245ba39201f020db | # Dataset Card for "disc_cla_primera"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_primera | [
"region:us"
] | 2023-03-21T17:51:14+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"name": "text", "dtype": "string"}]}, {"name": "prediction", "list": [{"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}]}, {"name": "prediction_agent", "dtype": "string"}, {"name": "annotation", ... | 2023-03-21T17:51:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_primera"
More Information needed | [
"# Dataset Card for \"disc_cla_primera\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"disc_cla_primera\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"disc_cla_primera\"\n\nMore Information needed"
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200e880a43c209b33599c64a6ca30dd15171d6cf | # Dataset Card for "disc_cla_segunda"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_segunda | [
"region:us"
] | 2023-03-21T17:52:22+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"name": "text", "dtype": "string"}]}, {"name": "prediction", "list": [{"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}]}, {"name": "prediction_agent", "dtype": "string"}, {"name": "annotation", ... | 2023-03-21T17:52:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_segunda"
More Information needed | [
"# Dataset Card for \"disc_cla_segunda\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"disc_cla_segunda\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"disc_cla_segunda\"\n\nMore Information needed"
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fb3d69e52d48a6b9de217e9a29fd3253b559bed7 | # Dataset Card for "disc_cla_tercera"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_tercera | [
"region:us"
] | 2023-03-21T17:53:12+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"name": "text", "dtype": "string"}]}, {"name": "prediction", "list": [{"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}]}, {"name": "prediction_agent", "dtype": "string"}, {"name": "annotation", ... | 2023-03-21T17:53:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_tercera"
More Information needed | [
"# Dataset Card for \"disc_cla_tercera\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"disc_cla_tercera\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"disc_cla_tercera\"\n\nMore Information needed"
] |
28c5eed0d7387e5b28c165303311bb3d6b20a0f0 | # Dataset Card for "disc_cla_cuarta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_cuarta | [
"region:us"
] | 2023-03-21T17:54:41+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"name": "text", "dtype": "string"}]}, {"name": "prediction", "list": [{"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}]}, {"name": "prediction_agent", "dtype": "string"}, {"name": "annotation", ... | 2023-03-21T17:54:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_cuarta"
More Information needed | [
"# Dataset Card for \"disc_cla_cuarta\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"disc_cla_cuarta\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"disc_cla_cuarta\"\n\nMore Information needed"
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c1152f5e2abbc360fb05e7efd7af7dd9124c5f27 | # Dataset Card for "disc_cla_quinta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_quinta | [
"region:us"
] | 2023-03-21T17:56:25+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"name": "text", "dtype": "string"}]}, {"name": "prediction", "list": [{"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}]}, {"name": "prediction_agent", "dtype": "string"}, {"name": "annotation", ... | 2023-03-21T17:56:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_quinta"
More Information needed | [
"# Dataset Card for \"disc_cla_quinta\"\n\nMore Information needed"
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"# Dataset Card for \"disc_cla_quinta\"\n\nMore Information needed"
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2fd620e010ad25390b3296c23cb121b4e4bbefa7 | # Dataset Card for "disc_cla_sexta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_sexta | [
"region:us"
] | 2023-03-21T17:58:10+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"name": "text", "dtype": "string"}]}, {"name": "prediction", "list": [{"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}]}, {"name": "prediction_agent", "dtype": "string"}, {"name": "annotation", ... | 2023-03-21T17:58:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_sexta"
More Information needed | [
"# Dataset Card for \"disc_cla_sexta\"\n\nMore Information needed"
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abad78880a277d77cb825ce7686c4a7a427a8ff0 | # Dataset Card for "disc_cla_septima"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_septima | [
"region:us"
] | 2023-03-21T18:00:04+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"name": "text", "dtype": "string"}]}, {"name": "prediction", "list": [{"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}]}, {"name": "prediction_agent", "dtype": "string"}, {"name": "annotation", ... | 2023-03-21T18:00:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_septima"
More Information needed | [
"# Dataset Card for \"disc_cla_septima\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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cf822853cceca59be7f32cec944b56ed630973dc | # Dataset Card for "nllb_lug_en_vigorous_clean"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mekaneeky/nllb_lug_en_vigorous_clean | [
"region:us"
] | 2023-03-21T18:02:39+00:00 | {"dataset_info": {"features": [{"name": "translation", "dtype": {"translation": {"languages": ["eng_Latn", "lug_Latn"]}}}, {"name": "laser_score", "dtype": "float32"}, {"name": "source_sentence_lid", "dtype": "float32"}, {"name": "target_sentence_lid", "dtype": "float32"}, {"name": "source_sentence_source", "dtype": "s... | 2023-03-21T18:03:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nllb_lug_en_vigorous_clean"
More Information needed | [
"# Dataset Card for \"nllb_lug_en_vigorous_clean\"\n\nMore Information needed"
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f37643e3c8bafb15cd9ceca03a3ee90a98088d83 | # Dataset Card for "split-imdb"
| Deysi/split-imdb | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"sentiment analysis",
"region:us"
] | 2023-03-21T18:25:05+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "Split dataset for imdb film reviews", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{... | 2023-03-21T22:55:45+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #sentiment analysis #region-us
| # Dataset Card for "split-imdb"
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03a78b0ca3a248d3c1ac7bcad9913da84811989e |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-code/Clone-detection-BigCloneBench in Semeru
# CodeXGLUE -- Clone Detection (BCB)
## Task Definition
Given two codes as the input, the ... | semeru/Code-Code-CloneDetection-BigCloneBench | [
"license:mit",
"arxiv:2002.08653",
"region:us"
] | 2023-03-21T18:37:21+00:00 | {"license": "mit", "Programminglanguage": "Java", "version": "N/A", "Date": "2014 Big clone bench paper https://www.cs.usask.ca/faculty/croy/papers/2014/SvajlenkoICSME2014BigERA.pdf", "Contaminated": "Very Likely", "Size": "Standard Tokenizer"} | 2023-03-27T17:31:02+00:00 | [
"2002.08653"
] | [] | TAGS
#license-mit #arxiv-2002.08653 #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-code/Clone-detection-BigCloneBench in Semeru
CodeXGLUE -- Clone Detection (BCB)
==============================... | [
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218877649f258051ca35532e4ae8a52db7ff0143 | # Dataset Card for DeTexD: A Benchmark Dataset for Delicate Text Detection
## Dataset Description
- **Repository:** [DeTexD repository](https://github.com/grammarly/detexd)
- **Paper:** [DeTexD: A Benchmark Dataset for Delicate Text Detection](TODO)
### Dataset Summary
We define *delicate text* as any text that is ... | grammarly/detexd-benchmark | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-03-21T18:44:32+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "pretty_name": "DeTexD: A Benchmark Dataset for Delicate Text Detection", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "annotator_1", "dtype": "int32"}, {"name": "ann... | 2023-07-10T16:36:37+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #region-us
| Dataset Card for DeTexD: A Benchmark Dataset for Delicate Text Detection
========================================================================
Dataset Description
-------------------
* Repository: DeTexD repository
* Paper: DeTexD: A Benchmark Dataset for Delicate Text Detection
### Dataset Summary
We define... | [
"### Dataset Summary\n\n\nWe define *delicate text* as any text that is emotionally charged or potentially triggering such that engaging with it has the potential to result in harm. This broad term covers a range of sensitive texts that vary across four major dimensions: 1) riskiness, 2) explicitness, 3) topic, and... | [
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0178d208f04726d0430236e7beba43d1c10c720a | # Dataset Card for "fungi_futures"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pimentooliver/fungifutures | [
"region:us"
] | 2023-03-21T18:59:12+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3671136212.896, "num_examples": 4657}], "download_size": 3127940814, "dataset_size": 3671136212.896}} | 2023-03-21T20:20:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fungi_futures"
More Information needed | [
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6dfe3ddea439c4ba66029d9b2284871e5917822f |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-code/Clone-detection-POJ-104 in Semeru
# CodeXGLUE -- Clone Detection (POJ-104)
## Task Definition
Given a code and a collection of ca... | semeru/Code-Code-CloneDetection-POJ104 | [
"license:mit",
"arxiv:1409.5718",
"region:us"
] | 2023-03-21T19:44:24+00:00 | {"license": "mit", "Programminglanguage": "C", "version": "N/A", "Date": "2015 POJ dataset from paper: https://arxiv.org/pdf/1409.5718.pdf", "Contaminated": "Very Likely", "Size": "Standard Tokenizer"} | 2023-03-27T17:29:02+00:00 | [
"1409.5718"
] | [] | TAGS
#license-mit #arxiv-1409.5718 #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-code/Clone-detection-POJ-104 in Semeru
CodeXGLUE -- Clone Detection (POJ-104)
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d6861110e812a0a941db36943ee65371c1f46540 |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-code/code-refinement/data/medium in Semeru
## Task Definition
Code refinement aims to automatically fix bugs in the code, which can contr... | semeru/code-code-CodeRefinement-Java-Medium | [
"license:mit",
"arxiv:1812.08693",
"region:us"
] | 2023-03-21T19:57:57+00:00 | {"license": "mit", "Programminglanguage": "Java", "version": "N/A", "Date": "May 2019 paper release date for https://arxiv.org/pdf/1812.08693.pdf", "Contaminated": "Very Likely", "Size": "Standard Tokenizer "} | 2023-03-27T17:24:46+00:00 | [
"1812.08693"
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#license-mit #arxiv-1812.08693 #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-code/code-refinement/data/medium in Semeru
Task Definition
---------------
Code refinement aims to automatic... | [
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b7678eb87ffd22ddc934ad07b483893c30a6a7a1 |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-code/code-refinement/data/small in Semeru
## Task Definition
Code refinement aims to automatically fix bugs in the code, which can cont... | semeru/code-code-CodeRefinement-Java-Small | [
"license:mit",
"arxiv:1812.08693",
"region:us"
] | 2023-03-21T20:03:09+00:00 | {"license": "mit", "Programminglanguage": "Java", "version": "N/A", "Date": "May 2019 paper release date for https://arxiv.org/pdf/1812.08693.pdf", "Contaminated": "Very Likely", "Size": "Standard Tokenizer"} | 2023-03-27T17:23:44+00:00 | [
"1812.08693"
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#license-mit #arxiv-1812.08693 #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-code/code-refinement/data/small in Semeru
Task Definition
---------------
Code refinement aims to automatica... | [
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2eed561239d04b5c74a0c350b11849c8163f6f74 | # Dataset Card for "processed_bert_dataset-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Exqrch/processed_bert_dataset-test | [
"region:us"
] | 2023-03-21T20:13:45+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": 10029.0, "num_examples": 48}], "download_size": 6515,... | 2023-03-22T13:30:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_bert_dataset-test"
More Information needed | [
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d41bf942e2f2e7e151cef4fe0de22fdec763b921 |
Dataset generated from cyrillic train set using Stackmix
========================================================
Number of images: 300000
Sources:
* [Cyrillic dataset](https://www.kaggle.com/datasets/constantinwerner/cyrillic-handwriting-dataset)
* [Stackmix code](https://github.com/ai-forever/StackMix-OCR)
| nastyboget/stackmix_cyrillic | [
"task_categories:image-to-text",
"size_categories:100K<n<1M",
"language:ru",
"license:mit",
"region:us"
] | 2023-03-21T20:18:13+00:00 | {"language": ["ru"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["image-to-text"]} | 2023-03-23T18:44:41+00:00 | [] | [
"ru"
] | TAGS
#task_categories-image-to-text #size_categories-100K<n<1M #language-Russian #license-mit #region-us
|
Dataset generated from cyrillic train set using Stackmix
========================================================
Number of images: 300000
Sources:
* Cyrillic dataset
* Stackmix code
| [] | [
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671500c2221f0033931d21a8264b9663813f4910 | # Dataset Card for "speeches-congre-clean-names"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/speeches-congre-clean-names | [
"region:us"
] | 2023-03-21T20:35:46+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "gaceta_numero", "dtype": "string"}, {"name": "fecha_gaceta", "dtype": "string"}, {"name": "comision", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num... | 2023-03-21T20:38:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "speeches-congre-clean-names"
More Information needed | [
"# Dataset Card for \"speeches-congre-clean-names\"\n\nMore Information needed"
] | [
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2308814b089b8e663c4a68d7862a6e210ad9fe88 |
Dataset generated from HKR train set using ScrabbleGAN
======================================================
Number of images: 300000
Sources:
* [HKR dataset](https://github.com/abdoelsayed2016/HKR_Dataset)
* [ScrabbleGAN code](https://github.com/ai-forever/ScrabbleGAN) | nastyboget/gan_hkr | [
"task_categories:image-to-text",
"size_categories:100K<n<1M",
"language:ru",
"license:mit",
"region:us"
] | 2023-03-21T21:10:05+00:00 | {"language": ["ru"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["image-to-text"]} | 2023-03-23T18:43:53+00:00 | [] | [
"ru"
] | TAGS
#task_categories-image-to-text #size_categories-100K<n<1M #language-Russian #license-mit #region-us
|
Dataset generated from HKR train set using ScrabbleGAN
======================================================
Number of images: 300000
Sources:
* HKR dataset
* ScrabbleGAN code | [] | [
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460b1f3312aa21ef774e916e532a9576f7938a0d | # RuTurboAlpaca
Dataset of ChatGPT-generated instructions in Russian.
<img src="https://cdn.midjourney.com/770a35fa-00c0-4214-bb88-727dbc7cfaf3/0_0.png" >
* Code: [rulm/self_instruct](https://github.com/IlyaGusev/rulm/tree/master/self_instruct)
* Code is based on [Stanford Alpaca](https://github.com/tatsu-lab/stanf... | IlyaGusev/ru_turbo_alpaca | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:ru",
"license:cc-by-4.0",
"instruction-finetuning",
"instruction generation",
"alpaca",
"region:us"
] | 2023-03-21T21:17:42+00:00 | {"language": ["ru"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation", "text2text-generation"], "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "alternative_out... | 2023-05-25T18:45:14+00:00 | [] | [
"ru"
] | TAGS
#task_categories-text-generation #task_categories-text2text-generation #size_categories-10K<n<100K #language-Russian #license-cc-by-4.0 #instruction-finetuning #instruction generation #alpaca #region-us
| # RuTurboAlpaca
Dataset of ChatGPT-generated instructions in Russian.
<img src="URL >
* Code: rulm/self_instruct
* Code is based on Stanford Alpaca and self-instruct.
* 29822 examples
Preliminary evaluation by an expert based on 400 samples:
* 83% of samples contain correct instructions
* 63% of samples have corre... | [
"# RuTurboAlpaca\n\nDataset of ChatGPT-generated instructions in Russian.\n\n\n<img src=\"URL >\n\n* Code: rulm/self_instruct\n* Code is based on Stanford Alpaca and self-instruct.\n* 29822 examples\n\nPreliminary evaluation by an expert based on 400 samples:\n* 83% of samples contain correct instructions\n* 63% of... | [
"TAGS\n#task_categories-text-generation #task_categories-text2text-generation #size_categories-10K<n<100K #language-Russian #license-cc-by-4.0 #instruction-finetuning #instruction generation #alpaca #region-us \n",
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d4d7dcdd080358c03e77c026c1acada1c9bb4998 | # Dataset Card for "mayo_clinic_symptoms_and_diseases_v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | celikmus/mayo_clinic_symptoms_and_diseases_v1 | [
"language:en",
"region:us"
] | 2023-03-21T21:31:15+00:00 | {"language": "en", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1321926, "num_examples": 1058}], "download_size": 626009, "dataset_size": 1321926}} | 2023-07-16T18:37:52+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| # Dataset Card for "mayo_clinic_symptoms_and_diseases_v1"
More Information needed | [
"# Dataset Card for \"mayo_clinic_symptoms_and_diseases_v1\"\n\nMore Information needed"
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5a78d0c3079b4d05de4c9151d4df188b691053f8 |
[ミツア](https://huggingface.co/Mitsua/mitsua-diffusion-one) 用 ネガティブ TI
## Test1
TI
- [badmitsua-test1-e10.pt](https://huggingface.co/datasets/p1atdev/badmitsua/blob/main/embeddings/badmitsua-test1-e10.pt)
データセット
mitsua-diffusion-one-base で生成した 150枚を使用
- [test1.zip](https://huggingface.co/datasets/p1atdev/badmitsua/... | p1atdev/badmitsua | [
"license:cc0-1.0",
"region:us"
] | 2023-03-21T21:51:49+00:00 | {"license": "cc0-1.0"} | 2023-03-21T22:24:10+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
ミツア 用 ネガティブ TI
## Test1
TI
- URL
データセット
mitsua-diffusion-one-base で生成した 150枚を使用
- URL
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] |
91c0ea92482d3f91ba48d7554305d9c86339e6a3 | # Dataset Card for "sentences-and-emotions"
Recognizing Emotion Cause in Conversations. Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea. Cognitive Computation (2021). | Deysi/sentences-and-emotions | [
"task_categories:text-classification",
"size_categories:100K<n<1M",
"language:en",
"region:us"
] | 2023-03-21T22:23:47+00:00 | {"language": ["en"], "size_categories": ["100K<n<1M"], "task_categories": ["text-classification"], "pretty_name": "Sentences and emotions", "dataset_info": {"features": [{"name": "utterance", "dtype": "string"}, {"name": "emotion", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 62487, "num_examples": 816... | 2023-03-21T22:54:16+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-English #region-us
| # Dataset Card for "sentences-and-emotions"
Recognizing Emotion Cause in Conversations. Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea. Cognitive Computation (2021). | [
"# Dataset Card for \"sentences-and-emotions\"\n\nRecognizing Emotion Cause in Conversations. Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea. Cognitive Computation... | [
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c8647293d538fe3aeda3539a3f4274d1b5ea6762 | # Dataset Card for "GunDataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pzalavad/HelmetDataset | [
"region:us"
] | 2023-03-21T22:56:57+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Helmet", "1": "Helmet No helmet", "2": "No helmet"}}}}], "splits": [{"name": "train", "num_bytes": 29913013.721, "num_examples": 2193}, {"name": "test", "num_bytes": 1107623.0, "num_examples":... | 2023-03-25T00:49:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GunDataset"
More Information needed | [
"# Dataset Card for \"GunDataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GunDataset\"\n\nMore Information needed"
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8244f185697cf454a580255f2fbf24d5c13870be | # Codex Math QA
Solve math_qa using codex-davinci-002 via Python Programming.
[Since OpenAI decided to shut off code-davinci-002 behind Azure](https://mobile.twitter.com/Veqtor/status/1638081493099597824), this dataset aims to share the generation results for code-davinci-002 OpenAI's 176B code generation model.
###... | theblackcat102/codex-math-qa | [
"task_categories:text2text-generation",
"task_categories:text-generation",
"language:en",
"license:other",
"codex-generated",
"code",
"mathematic",
"region:us"
] | 2023-03-22T00:56:14+00:00 | {"language": ["en"], "license": "other", "task_categories": ["text2text-generation", "text-generation"], "tags": ["codex-generated", "code", "mathematic"]} | 2023-03-26T00:04:18+00:00 | [] | [
"en"
] | TAGS
#task_categories-text2text-generation #task_categories-text-generation #language-English #license-other #codex-generated #code #mathematic #region-us
| Codex Math QA
=============
Solve math\_qa using codex-davinci-002 via Python Programming.
Since OpenAI decided to shut off code-davinci-002 behind Azure, this dataset aims to share the generation results for code-davinci-002 OpenAI's 176B code generation model.
### Data Splits
1. Basic prompts : only question... | [
"### Data Splits\n\n\n\n1. Basic prompts : only question\n\n\nExample :\n\n\noutput\n\n\n2. Prompts with rationale : include the 'Rationale' text which should helps the programming planinig\n\n\nExample :\n\n\noutput",
"### Notes:\n\n\nThe generated results are unvalidated and are as what it is from the codex-dav... | [
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e8cadd6bf716fba2e5d8d0e8dfb4327683a4261c | # Dataset Card for "Food101_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Food101_train | [
"region:us"
] | 2023-03-22T01:07:54+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "apple pie", "1": "baby back ribs", "2": "baklava", "3": "beef carpaccio", "4": "beef tartare", "5": "beet salad", "6": "beignets", "7": "bibimbap", "8": "bread pudding", "9": "breakfast burrit... | 2023-05-04T05:17:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Food101_train"
More Information needed | [
"# Dataset Card for \"Food101_train\"\n\nMore Information needed"
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"# Dataset Card for \"Food101_train\"\n\nMore Information needed"
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408419795277f050a1f9f07780bebb46ac162f85 | # Dataset Card for "Food101_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Food101_test | [
"region:us"
] | 2023-03-22T01:14:18+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "apple pie", "1": "baby back ribs", "2": "baklava", "3": "beef carpaccio", "4": "beef tartare", "5": "beet salad", "6": "beignets", "7": "bibimbap", "8": "bread pudding", "9": "breakfast burrit... | 2023-05-04T05:23:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Food101_test"
More Information needed | [
"# Dataset Card for \"Food101_test\"\n\nMore Information needed"
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bd3988995e6db193427255abdebd522afe24ce76 | # Dataset Card for "CUB_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/CUB_train | [
"region:us"
] | 2023-03-22T02:07:02+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "description", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Black footed Albatross", "1": "Laysan Albatross", "2": "Sooty Albatross", "3": "Groove billed Ani", "4": "Crested Auklet", "5": "Least Auklet", "6":... | 2023-03-22T02:08:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CUB_train"
More Information needed | [
"# Dataset Card for \"CUB_train\"\n\nMore Information needed"
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82447a42c5e05c7fe21cd36accfdf399148e8668 | # Dataset Card for "CUB_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/CUB_test | [
"region:us"
] | 2023-03-22T02:08:06+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "description", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Black footed Albatross", "1": "Laysan Albatross", "2": "Sooty Albatross", "3": "Groove billed Ani", "4": "Crested Auklet", "5": "Least Auklet", "6":... | 2023-03-22T02:08:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CUB_test"
More Information needed | [
"# Dataset Card for \"CUB_test\"\n\nMore Information needed"
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d117cdbeba25212c1fa0c6964ebf2fc2abf3736a |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-code/code-to-code-trans in Semeru
# CodeXGLUE -- Code2Code Translation
## Task Definition
Code translation aims to migrate legacy softw... | semeru/code-code-translation-java-csharp | [
"license:mit",
"region:us"
] | 2023-03-22T02:10:54+00:00 | {"license": "mit", "Programminglanguage": "Java/C#", "version": "N/A", "Date": "Most likely 2020", "Contaminated": "Very Likely", "Size": "Standard Tokenizer"} | 2023-03-27T17:22:28+00:00 | [] | [] | TAGS
#license-mit #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-code/code-to-code-trans in Semeru
CodeXGLUE -- Code2Code Translation
==================================
Task... | [
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73b2c0e8a9e7ac2fe24eaf4e78a4e67378f39efa |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-code/CodeCompletion-token/dataset/javaCorpus in Semeru
# CodeXGLUE -- Code Completion (token level)
**Update 2021.07.30:** We update the... | semeru/code-code-CodeCompletion-TokenLevel-Java | [
"license:mit",
"region:us"
] | 2023-03-22T03:11:04+00:00 | {"license": "mit", "Programminglanguage": "Java", "version": "N/A", "Date": "From paper: https://homepages.inf.ed.ac.uk/csutton/publications/msr2013.pdf (2013 - paper release date)", "Contaminated": "Very Likely", "Size": "Standard Tokenizer (TreeSitter)"} | 2023-03-24T14:22:48+00:00 | [] | [] | TAGS
#license-mit #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-code/CodeCompletion-token/dataset/javaCorpus in Semeru
CodeXGLUE -- Code Completion (token level)
============... | [
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90902c2fe01b7c5672d9e104107be57ce093ff67 |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-code/CodeCompletion-token/dataset/py150 in Semeru
# CodeXGLUE -- Code Completion (token level)
**Update 2021.07.30:** We update the code... | semeru/code-code-CodeCompletion-TokenLevel-Python | [
"license:mit",
"region:us"
] | 2023-03-22T03:21:32+00:00 | {"license": "mit", "Programminglanguage": "python", "version": "python3", "Date": "From paper [Probabilistic for Code with Decision trees](https://files.sri.inf.ethz.ch/website/papers/oopsla16-dt.pdf)(2016- paper release date)", "Contaminated": "Very Likely", "Size": "Standard Tokenizer (TreeSitter)"} | 2023-03-24T14:10:30+00:00 | [] | [] | TAGS
#license-mit #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-code/CodeCompletion-token/dataset/py150 in Semeru
CodeXGLUE -- Code Completion (token level)
=================... | [
"### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-code/CodeCompletion-token/dataset/py150 in Semeru\n\n\nCodeXGLUE -- Code Completion (token level)\... | [
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c8cbfeecf4090a18678384c559102a68bfa00829 |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-code/Defect-detection in Semeru
# CodeXGLUE -- Defect Detection
## Task Definition
Given a source code, the task is to identify whethe... | semeru/code-code-DefectDetection | [
"license:mit",
"region:us"
] | 2023-03-22T03:30:09+00:00 | {"license": "mit", "Programminglanguage": "C", "version": "N/A", "Date": "Devign(Jun 2019 - paper release date)", "Contaminated": "Very Likely", "Size": "Standard Tokenizer"} | 2023-03-27T20:16:02+00:00 | [] | [] | TAGS
#license-mit #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-code/Defect-detection in Semeru
CodeXGLUE -- Defect Detection
=============================
Task Definition
... | [
"### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-code/Defect-detection in Semeru\n\n\nCodeXGLUE -- Defect Detection\n=============================\... | [
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a6c52e2ba656380eb2ddabeddc55c8b3c853f624 | # Dataset Card for "data_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | linhqyy/data_test | [
"region:us"
] | 2023-03-22T03:34:07+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9016799768.976877, "num_examples": 64418}, {"name": "test", "num_bytes": 1001925014.6631207, "num_examples": 7158}], "download_size": 10000087591, "dataset_size": 100187247... | 2023-03-22T11:18:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "data_test"
More Information needed | [
"# Dataset Card for \"data_test\"\n\nMore Information needed"
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cb7deb606db022364ebc2639303c0560f49b4714 |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-code/Method-Generation/dataset/codexglue_method_generation in Semeru
# CodeXGLUE -- Method Generation
Here is the introduction and pipel... | semeru/code-code-MethodGeneration | [
"license:mit",
"region:us"
] | 2023-03-22T03:34:23+00:00 | {"license": "mit", "Programminglanguage": "python", "version": "N/A", "Date": "Codesearchnet(Jun 2020 - paper release date)", "Contaminated": "Very Likely", "Size": "Standard Tokenizer (TreeSitter)"} | 2023-03-27T17:16:31+00:00 | [] | [] | TAGS
#license-mit #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-code/Method-Generation/dataset/codexglue\_method\_generation in Semeru
CodeXGLUE -- Method Generation
========... | [
"### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-code/Method-Generation/dataset/codexglue\\_method\\_generation in Semeru\n\n\nCodeXGLUE -- Method ... | [
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ea9a5067cdb2fba5a1d49b7392f61b5ae820aec8 | # Dataset Card for "wikipedia_stage2_coverage_20230316"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MartinKu/wikipedia_stage2_coverage_20230316 | [
"region:us"
] | 2023-03-22T05:06:39+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "S_V_position", "sequence": "int64"}, {"name": "O_C_position", "sequence": "int64"}, {"name": "start_point_list", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 58992077079, "num_examples": 1054477}], "download_size": 1822913... | 2023-03-23T18:28:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia_stage2_coverage_20230316"
More Information needed | [
"# Dataset Card for \"wikipedia_stage2_coverage_20230316\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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7878f4929cce3aba9ce8371f83b32e0eeb2b83dc |
# ChatGPT3.5 Noisy Translation Facebook
Notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/translation/chatgpt3.5-facebook | mesolitica/chatgpt-noisy-translation-facebook | [
"task_categories:translation",
"language:ms",
"region:us"
] | 2023-03-22T05:10:38+00:00 | {"language": ["ms"], "task_categories": ["translation"]} | 2023-12-17T04:06:33+00:00 | [] | [
"ms"
] | TAGS
#task_categories-translation #language-Malay (macrolanguage) #region-us
|
# ChatGPT3.5 Noisy Translation Facebook
Notebooks at URL | [
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594ef28b50307c40a756df785a72296cf55e4872 |
# ChatGPT3.5 Noisy Translation IIUM Confession
Notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/translation/chatgpt3.5-iium-confession | mesolitica/chatgpt-noisy-translation-iium-confession | [
"task_categories:translation",
"language:ms",
"region:us"
] | 2023-03-22T05:11:08+00:00 | {"language": ["ms"], "task_categories": ["translation"]} | 2023-12-17T04:07:11+00:00 | [] | [
"ms"
] | TAGS
#task_categories-translation #language-Malay (macrolanguage) #region-us
|
# ChatGPT3.5 Noisy Translation IIUM Confession
Notebooks at URL | [
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1277505f152d3e19d5b7f0169e28a533d4a6b445 |
# KoddaDuck/Cylonix_ASR_dataset | KoddaDuck/Cylonix_ASR_dataset | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"source_datasets:extended|common_voice",
"license:cc0-1.0",
"region:us"
] | 2023-03-22T06:03:52+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": {"zh-CN": ["100K<n<10M"]}, "source_datasets": ["extended|common_voice"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "paperswithcode_... | 2023-03-27T00:53:16+00:00 | [] | [] | TAGS
#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #source_datasets-extended|common_voice #license-cc0-1.0 #region-us
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] |
001dad396b843fa88b0b1a637e71cdc8206bab09 | # Dataset Card for "thaigov-v2-corpus-22032023"
This corpus made from Thaigov v2 corpus in 22 Mar 2023. [https://github.com/PyThaiNLP/thaigov-v2-corpus/releases/tag/22032023](https://github.com/PyThaiNLP/thaigov-v2-corpus/releases/tag/22032023)
Corups: [https://github.com/PyThaiNLP/thaigov-v2-corpus](https://github.c... | pythainlp/thaigov-v2-corpus-22032023 | [
"size_categories:10K<n<100K",
"language:th",
"license:cc0-1.0",
"region:us"
] | 2023-03-22T07:57:03+00:00 | {"language": ["th"], "license": "cc0-1.0", "size_categories": ["10K<n<100K"], "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 252319219, "num_examples": 30380}], "download_size": 85... | 2023-03-22T08:44:49+00:00 | [] | [
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] | TAGS
#size_categories-10K<n<100K #language-Thai #license-cc0-1.0 #region-us
| # Dataset Card for "thaigov-v2-corpus-22032023"
This corpus made from Thaigov v2 corpus in 22 Mar 2023. URL
Corups: URL
## English
- Data from Thai government website. URL
- This part of PyThaiNLP Project.
- Compiled by Mr.Wannaphong Phatthiyaphaibun
- License Dataset is public domain.
## Data format
- 1 file, 1 n... | [
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29cd2c829dd10454e42c0f1fcfc9ef18160891c7 |
Dataset generated using handwritten fonts
=========================================
Number of images: 300000
Sources:
* [Handwriting generation code](https://github.com/NastyBoget/HandwritingGeneration)
The code was executed with `cyrillic` option (more augmentations) | nastyboget/synthetic_cyrillic | [
"task_categories:image-to-text",
"size_categories:100K<n<1M",
"language:ru",
"license:mit",
"region:us"
] | 2023-03-22T08:18:18+00:00 | {"language": ["ru"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["image-to-text"]} | 2023-03-23T18:45:21+00:00 | [] | [
"ru"
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#task_categories-image-to-text #size_categories-100K<n<1M #language-Russian #license-mit #region-us
|
Dataset generated using handwritten fonts
=========================================
Number of images: 300000
Sources:
* Handwriting generation code
The code was executed with 'cyrillic' option (more augmentations) | [] | [
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1c24f619ae44d0a4c87fde72efa741dc25f7530e |
### Dataset Summary
This dataset is based on [CloverSearch/cc-news-mutlilingual](https://huggingface.co/datasets/CloverSearch/cc-news-mutlilingual).
We add a script to support access multilingual CC-News dataset with HuggingFace datasets API instead of directly downloading raw data files.
### Data Fields
- `title`... | intfloat/multilingual_cc_news | [
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### Dataset Summary
This dataset is based on CloverSearch/cc-news-mutlilingual.
We add a script to support access multilingual CC-News dataset with HuggingFace datasets API instead of directly downloading raw data files.
### Data Fields
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6db8d09e3edeaf2f99dd075a31c3788461adeb59 | # Dataset Card for "thaigov-v2-corpus-22032023-oa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pythainlp/thaigov-v2-corpus-22032023-oa | [
"region:us"
] | 2023-03-22T08:33:37+00:00 | {"dataset_info": {"features": [{"name": "TEXT", "dtype": "string"}, {"name": "SOURCE", "dtype": "string"}, {"name": "url", "struct": [{"name": "url", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 241455880, "num_examples": 30380}], "download_size": 81088077, "dataset_size": 241455880}} | 2023-03-22T08:35:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "thaigov-v2-corpus-22032023-oa"
More Information needed | [
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fa09fc9938f43a55c522def5a0ec83ffaa10052f |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-s... | albertvillanova/test | [
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# Dataset Card for [Dataset Name]
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4a01b0a31b572eada953700280cd53250187de59 |
[행정 문서 대상 기계독해 데이터](https://aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=569) | wisenut-nlp-team/aihub_mrc_admin | [
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"mrc",
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] | 2023-03-22T09:04:56+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": [], "license": ["cc-by-4.0"], "multilinguality": [], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa", "closed-domain-qa"], "pretty_name": "wi... | 2023-05-23T23:08:00+00:00 | [] | [] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #task_ids-closed-domain-qa #annotations_creators-crowdsourced #language_creators-found #size_categories-10M<n<100M #source_datasets-original #license-cc-by-4.0 #mrc #region-us
|
행정 문서 대상 기계독해 데이터 | [] | [
"TAGS\n#task_categories-question-answering #task_ids-extractive-qa #task_ids-closed-domain-qa #annotations_creators-crowdsourced #language_creators-found #size_categories-10M<n<100M #source_datasets-original #license-cc-by-4.0 #mrc #region-us \n"
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95
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"passage: TAGS\n#task_categories-question-answering #task_ids-extractive-qa #task_ids-closed-domain-qa #annotations_creators-crowdsourced #language_creators-found #size_categories-10M<n<100M #source_datasets-original #license-cc-by-4.0 #mrc #region-us \n"
] |
1eca1fa57e387473361ebe828698fd93ebc06b18 | # Dataset Card for "instructions-id-small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-id-small | [
"region:us"
] | 2023-03-22T09:28:19+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 48844.8, "num_examples": 90}, {"name": "test", "num_bytes": 2713.6, "num_examples": 5}, {"name": "validation", "num_bytes": 2713.6, "num_examples": 5}], "download_size": 36845... | 2023-03-22T09:28:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-id-small"
More Information needed | [
"# Dataset Card for \"instructions-id-small\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"instructions-id-small\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-id-small\"\n\nMore Information needed"
] |
a7ff39d2bccb3d0b41f9e15d2e670c7db5790147 | # Dataset Card for "instructions-id"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-id | [
"region:us"
] | 2023-03-22T09:30:59+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35749284.66851785, "num_examples": 85242}, {"name": "test", "num_bytes": 1986211.1657410732, "num_examples": 4736}, {"name": "validation", "num_bytes": 1986211.1657410732, "nu... | 2023-03-22T12:47:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-id"
More Information needed | [
"# Dataset Card for \"instructions-id\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"instructions-id\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-id\"\n\nMore Information needed"
] |
d74da450df1b05fac0440394ac17189c4c5519e0 |
Dataset collected as part of work done for Alvarado Lab Queens College, CUNY (https://www.alvaradolab.com/)
Github: https://www.github.com/QCAlvaradoLab/Color-Study | hans0812/fish-composite-segmentation | [
"license:afl-3.0",
"region:us"
] | 2023-03-22T09:31:33+00:00 | {"license": "afl-3.0"} | 2023-03-25T11:12:23+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
|
Dataset collected as part of work done for Alvarado Lab Queens College, CUNY (URL
Github: URL | [] | [
"TAGS\n#license-afl-3.0 #region-us \n"
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14
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"passage: TAGS\n#license-afl-3.0 #region-us \n"
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9ca3a2b38dd1dd14739a5144b225df0344f1460d | ---
# Bigcode PII Training Dataset
## Dataset Description
This is the dataset used for the training of [bigcode-pii-model](https://huggingface.co/bigcode/bigcode-pii-model) (after training on pseudo-labeled data).
It is a concatenation of an early version of [bigcode-pii-dataset](https://huggingface.co/datasets/bigco... | bigcode/bigcode-pii-dataset-training | [
"region:us"
] | 2023-03-22T10:30:49+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "content", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "pii", "list": [{"name": "context", "dtype": "string"}, {"name": "end", "dtype": "int64"}, {"name": "start", "dtype": "int64"}, {"name": "tag", "dtype": "string"}, {... | 2023-05-11T11:46:10+00:00 | [] | [] | TAGS
#region-us
|
---
Bigcode PII Training Dataset
============================
Dataset Description
-------------------
This is the dataset used for the training of bigcode-pii-model (after training on pseudo-labeled data).
It is a concatenation of an early version of bigcode-pii-dataset which had less samples, and pii-for-code
... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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b317a0dd49ee1830df790e3bf84d8e3fb9403e82 | # Dataset Card for "basemath"
The objective of minimath is to train the mathematical capability of language model in a diverse setting.
The dataset is composed of sampling from the below dataset:
https://huggingface.co/datasets/math_dataset
https://huggingface.co/datasets/math_qa
https://huggingface.co/datasets/co... | kenhktsui/basemath | [
"region:us"
] | 2023-03-22T10:47:42+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "Rationale", "dtype": "string"}, {"name": "annotated_formula", "dtype": "string"}, {"name": "linear_formula", "dtype": "string"}], "splits": [{"name": "train", "... | 2023-03-22T10:55:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "basemath"
The objective of minimath is to train the mathematical capability of language model in a diverse setting.
The dataset is composed of sampling from the below dataset:
URL
URL
URL
URL
URL
More Information needed | [
"# Dataset Card for \"basemath\"\n\nThe objective of minimath is to train the mathematical capability of language model in a diverse setting.\nThe dataset is composed of sampling from the below dataset:\nURL \nURL \nURL \nURL \nURL \n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"basemath\"\n\nThe objective of minimath is to train the mathematical capability of language model in a diverse setting.\nThe dataset is composed of sampling from the below dataset:\nURL \nURL \nURL \nURL \nURL \n\nMore Information needed"
] | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"basemath\"\n\nThe objective of minimath is to train the mathematical capability of language model in a diverse setting.\nThe dataset is composed of sampling from the below dataset:\nURL \nURL \nURL \nURL \nURL \n\nMore Information needed"
] |
f17105a540fde74ff651b6a0690a55ce1cbfcb31 |
Russian translations of Murakami novels, to fine-tune a generative language model. Originally downloaded from the FB2 archive http://flibusta.is/a/8570. | vldsavelyev/murakami | [
"region:us"
] | 2023-03-22T10:55:51+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18352678, "num_examples": 699}, {"name": "test", "num_bytes": 48421, "num_examples": 1}], "download_size": 7244777, "dataset_size": 18401099}} | 2023-03-25T12:29:55+00:00 | [] | [] | TAGS
#region-us
|
Russian translations of Murakami novels, to fine-tune a generative language model. Originally downloaded from the FB2 archive URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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9a5fcecac061f17d9ed9e89d3cc7408537260833 | # Dataset Card for "instructions-all"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-all | [
"region:us"
] | 2023-03-22T12:03:36+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 11937376.0, "num_examples": 23011}, {"name": "test", "num_bytes": 11885818.0, "num_examples": 23027}, {"name": "train", "num_bytes": 392052453.0, "num_examples": 751788}], "download_size": 264089102, "dat... | 2023-03-22T16:00:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-all"
More Information needed | [
"# Dataset Card for \"instructions-all\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"instructions-all\"\n\nMore Information needed"
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14
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-all\"\n\nMore Information needed"
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f7038d331f00bf59950361d415e2c12e1216f613 | # Dataset Card for "disc_cla_primera-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_primera-2 | [
"region:us"
] | 2023-03-22T13:20:29+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "null"}, {"name": "inputs", "struct": [{"name": "comision", "dtype": "string"}, {"name": "fecha_gaceta", "dtype": "string"}, {"name": "gaceta_numero", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "text", "dtype": "string"}]}, {"name": "predic... | 2023-03-22T13:20:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_primera-2"
More Information needed | [
"# Dataset Card for \"disc_cla_primera-2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"disc_cla_primera-2\"\n\nMore Information needed"
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6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"disc_cla_primera-2\"\n\nMore Information needed"
] |
5755c44709eb0008f6e85461dd3bb2a1641c4739 | # Dataset Card for "disc_cla_segunda-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_segunda-2 | [
"region:us"
] | 2023-03-22T13:20:54+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "null"}, {"name": "inputs", "struct": [{"name": "comision", "dtype": "string"}, {"name": "fecha_gaceta", "dtype": "string"}, {"name": "gaceta_numero", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "text", "dtype": "string"}]}, {"name": "predic... | 2023-03-22T13:20:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_segunda-2"
More Information needed | [
"# Dataset Card for \"disc_cla_segunda-2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"disc_cla_segunda-2\"\n\nMore Information needed"
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6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"disc_cla_segunda-2\"\n\nMore Information needed"
] |
9d0aa7abc72e9a1d997ca3bc0158fbe9c44cb2ed | # Dataset Card for "disc_cla_tercera-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_tercera-2 | [
"region:us"
] | 2023-03-22T13:21:10+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "null"}, {"name": "inputs", "struct": [{"name": "comision", "dtype": "string"}, {"name": "fecha_gaceta", "dtype": "string"}, {"name": "gaceta_numero", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "text", "dtype": "string"}]}, {"name": "predic... | 2023-03-22T13:21:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_tercera-2"
More Information needed | [
"# Dataset Card for \"disc_cla_tercera-2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"disc_cla_tercera-2\"\n\nMore Information needed"
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6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"disc_cla_tercera-2\"\n\nMore Information needed"
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21577af3e9b8cb7cdc906e1ee872749de9b9d08c | # Dataset Card for "disc_cla_-cuarta-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_cuarta-2 | [
"region:us"
] | 2023-03-22T13:29:14+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "null"}, {"name": "inputs", "struct": [{"name": "comision", "dtype": "string"}, {"name": "fecha_gaceta", "dtype": "string"}, {"name": "gaceta_numero", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "text", "dtype": "string"}]}, {"name": "predic... | 2023-03-22T13:29:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_-cuarta-2"
More Information needed | [
"# Dataset Card for \"disc_cla_-cuarta-2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"disc_cla_-cuarta-2\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"disc_cla_-cuarta-2\"\n\nMore Information needed"
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