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6971ab94650be99b3aa7b85ae7c10e149c80e702 |
Original Source https://github.com/lm-sys/FastChat/blob/main/fastchat/llm_judge/data/mt_bench/question.jsonl
| dim/mt_bench_en | [
"license:mit",
"region:us"
] | 2023-07-17T21:49:27+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "question_id", "dtype": "int64"}, {"name": "category", "dtype": "string"}, {"name": "turns", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 34899, "num_examples": 80}], "download_size": 24635, "dataset_size": 34899}} | 2023-07-17T21:51:38+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Original Source URL
| [] | [
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ebca1a045fbb7d4192df1d4804865f9c4c91f27b | ### Dataset Information
This is an SFW sanitized prompt only version of the [PickAPic dataset](https://huggingface.co/datasets/yuvalkirstain/pickapic_v1), with 335,000 prompts and image URLs.
### Citation Information
If you find this work useful, please cite:
```bibtex
@inproceedings{Kirstain2023PickaPicAO,
title={P... | CarperAI/pickapic_v1_no_images_training_sfw | [
"license:mit",
"region:us"
] | 2023-07-17T22:41:27+00:00 | {"license": "mit"} | 2023-07-17T23:02:29+00:00 | [] | [] | TAGS
#license-mit #region-us
| ### Dataset Information
This is an SFW sanitized prompt only version of the PickAPic dataset, with 335,000 prompts and image URLs.
If you find this work useful, please cite:
### LICENSE
MIT License
Copyright (c) 2021
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and... | [
"### Dataset Information\n\nThis is an SFW sanitized prompt only version of the PickAPic dataset, with 335,000 prompts and image URLs.\n\nIf you find this work useful, please cite:",
"### LICENSE\nMIT License\n\nCopyright (c) 2021\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof... | [
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"### LICENSE\nMIT License\n\nCopyright (c) 2021\n\nPermission is hereby granted, free of char... | [
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4f9a896900924bc223898b6c8a082fa8bef1b444 | This is inspired by the classifier of Textbooks is all you need.
Asking gpt-4 to rank samples an a scale of 0-4
You are a harsh English teacher, please determine the educational value of the following text for a student whose goal is to learn simple English with a single number from 0-4.
The numbers mean:
0 - No valu... | Corianas/EnglishGrader | [
"task_categories:text-classification",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-07-17T23:05:22+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-classification"]} | 2023-07-17T23:23:30+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #license-apache-2.0 #region-us
| This is inspired by the classifier of Textbooks is all you need.
Asking gpt-4 to rank samples an a scale of 0-4
You are a harsh English teacher, please determine the educational value of the following text for a student whose goal is to learn simple English with a single number from 0-4.
The numbers mean:
0 - No valu... | [] | [
"TAGS\n#task_categories-text-classification #language-English #license-apache-2.0 #region-us \n"
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29
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07271e81e1cdefdb62745223f8fda17b34cef904 | # Dataset Card for "artifact-100k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mvkvc/artifact-100k | [
"region:us"
] | 2023-07-17T23:16:33+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "ai", "1": "real"}}}}], "splits": [{"name": "train", "num_bytes": 1110613860.0, "num_examples": 90000}, {"name": "test", "num_bytes": 128196890.0, "num_examples": 10000}], "download_size": 1251... | 2023-07-17T23:25:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "artifact-100k"
More Information needed | [
"# Dataset Card for \"artifact-100k\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"artifact-100k\"\n\nMore Information needed"
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20bbf8646101b6276fbec0c9a7cdad0f7d715af2 | # Dataset Card for "Teli5_1K_tokenized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rusano/Teli5_1K_tokenized | [
"region:us"
] | 2023-07-18T01:35:42+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"name": "decoder_attention_mask", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 2013563824, "num_examples": 218107}, {"name": "val", "nu... | 2023-07-18T01:41:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Teli5_1K_tokenized"
More Information needed | [
"# Dataset Card for \"Teli5_1K_tokenized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Teli5_1K_tokenized\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Teli5_1K_tokenized\"\n\nMore Information needed"
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05424fe1710e785ec7ca9421ee052a0bd874fe70 | # Dataset Card for "Teli5_token"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rusano/Teli5_token | [
"region:us"
] | 2023-07-18T01:56:44+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"name": "decoder_attention_mask", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 57360000, "num_examples": 1000}, {"name": "val", "num_by... | 2023-07-18T01:56:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Teli5_token"
More Information needed | [
"# Dataset Card for \"Teli5_token\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Teli5_token\"\n\nMore Information needed"
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e8f69b4bb943cdd7f576bb6061266c3a7a871c11 | # Dataset Card for "Teli5_2tk"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rusano/Teli5_2tk | [
"region:us"
] | 2023-07-18T02:00:48+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"name": "decoder_attention_mask", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 18448000, "num_examples": 1000}, {"name": "val", "num_by... | 2023-07-18T02:00:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Teli5_2tk"
More Information needed | [
"# Dataset Card for \"Teli5_2tk\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Teli5_2tk\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Teli5_2tk\"\n\nMore Information needed"
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6020a62078a73d7ca02b86a4a775af7caba42d5e |
The arXiv Dataset is a comprehensive knowledge repository of 1.7 million scholarly articles drawn from the vast domains of physics, computer science, statistics, electrical engineering, quantitative biology, and economics among others. It provides open access to vital features such as article titles, authors, categori... | universeTBD/arxiv-abstracts-large | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:en",
"license:afl-3.0",
"region:us"
] | 2023-07-18T03:17:51+00:00 | {"language": ["en"], "license": "afl-3.0", "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "pretty_name": "Arxiv Abstracts Larg"} | 2023-07-18T04:00:09+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-1M<n<10M #language-English #license-afl-3.0 #region-us
|
The arXiv Dataset is a comprehensive knowledge repository of 1.7 million scholarly articles drawn from the vast domains of physics, computer science, statistics, electrical engineering, quantitative biology, and economics among others. It provides open access to vital features such as article titles, authors, categori... | [] | [
"TAGS\n#task_categories-text-generation #size_categories-1M<n<10M #language-English #license-afl-3.0 #region-us \n"
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41
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"passage: TAGS\n#task_categories-text-generation #size_categories-1M<n<10M #language-English #license-afl-3.0 #region-us \n"
] |
3fddcdce903cbb0df7342139c5a8a6a9108fd686 | # Dataset Card for "test_paper_textClassifier"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ranWang/test_paper_textClassifier | [
"region:us"
] | 2023-07-18T03:54:57+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "file_path", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 10745576, "num_examples": 387}, {"name": "train", "num_bytes": 325609267, "num_examples": 13621}], "download_size": 153433963, "dat... | 2023-07-28T23:42:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_paper_textClassifier"
More Information needed | [
"# Dataset Card for \"test_paper_textClassifier\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"test_paper_textClassifier\"\n\nMore Information needed"
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332f7faec653ef32abbe09e07c47d5d79610e23f | # Dataset Card for "jugg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nikad/jugg | [
"region:us"
] | 2023-07-18T04:12:39+00:00 | {"viewer": true, "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "additional_feature", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2216090.0, "num_examples": 6}], "download_size": 2215723, "dataset_size": 2216090.0}} | 2023-07-18T09:49:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "jugg"
More Information needed | [
"# Dataset Card for \"jugg\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"jugg\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"jugg\"\n\nMore Information needed"
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8e395b8aecf2444453542ee4e97a9cafdee6535b | # Dataset Card for "air"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TinyPixel/air | [
"region:us"
] | 2023-07-18T04:13:54+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "question_id", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 43852716, "num_examples": 27729}], "download_size": 23510335, "dataset_size... | 2023-07-18T04:13:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "air"
More Information needed | [
"# Dataset Card for \"air\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"air\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"air\"\n\nMore Information needed"
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84c687db5326feadfda11faa8d622a88d2c86396 | # Dataset Card for "air-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TinyPixel/air-2 | [
"region:us"
] | 2023-07-18T04:18:09+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 45835149, "num_examples": 27729}], "download_size": 22872260, "dataset_size": 45835149}} | 2023-07-18T07:20:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "air-2"
More Information needed | [
"# Dataset Card for \"air-2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"air-2\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"air-2\"\n\nMore Information needed"
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1cf740e57b0c9ed81803f47fe8beba055d15f4aa |
**Dataset Card for Indian Constitutional Law Instruction-Response Dataset**
---
**Dataset Summary**
The dataset contains instruction-input-output pairs on Indian Constitutional Law, specifically addressing Articles 12, 14, 19, 21, and 15. It's designed to assist AI models, researchers, and learners in understanding... | nisaar/Articles_Constitution_3300_Instruction_Set | [
"license:apache-2.0",
"region:us"
] | 2023-07-18T04:22:47+00:00 | {"license": "apache-2.0"} | 2023-07-18T06:25:46+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Dataset Card for Indian Constitutional Law Instruction-Response Dataset
---
Dataset Summary
The dataset contains instruction-input-output pairs on Indian Constitutional Law, specifically addressing Articles 12, 14, 19, 21, and 15. It's designed to assist AI models, researchers, and learners in understanding and gen... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
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1ace10151e82f25725b3c1649ac9b2c21c5623c4 | # Dataset Card for "raw_vnexpress"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | phunc20/raw_vnexpress | [
"region:us"
] | 2023-07-18T04:50:22+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 54727134, "num_examples": 7531}], "download_size": 29191718, "dataset_size": 54727134}} | 2023-07-18T04:50:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "raw_vnexpress"
More Information needed | [
"# Dataset Card for \"raw_vnexpress\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"raw_vnexpress\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"raw_vnexpress\"\n\nMore Information needed"
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30236a74c73c5c9a196e893fe13d6f7492d7da66 | # Dataset Card for "tokenized_datasets"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Yunij/tokenized_datasets | [
"region:us"
] | 2023-07-18T05:52:55+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "perplexity", "dtype": "float64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], ... | 2023-07-18T11:07:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tokenized_datasets"
More Information needed | [
"# Dataset Card for \"tokenized_datasets\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tokenized_datasets\"\n\nMore Information needed"
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b0e2a85f8a83306879c0e3aec96eccadc8f8d9d5 | # Dataset Card for "have_one"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MatsRooth/have_one | [
"region:us"
] | 2023-07-18T06:11:04+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "I+have+one+now", "1": "I+only+have+one"}}}}], "splits": [{"name": "train", "num_bytes": 10168367.5, "num_examples": 535}, {"name": "test", "num_bytes": 1499291.5, "num_examples": 95}, {"name":... | 2023-07-18T06:11:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "have_one"
More Information needed | [
"# Dataset Card for \"have_one\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"have_one\"\n\nMore Information needed"
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ebf6fc6fdd6f5f25c641907f42a134f240bceff4 |
## Dataset Description
> This is a subset of the [conceptnet5 dataset](https://huggingface.co/datasets/conceptnet5).
> I merely parsed and extracted out my required portion and uploaded here, since processing the huge complete dataset is complicated for many users.
> Please refer to the original authors' repo for a c... | appledora/conceptnet_en2en_relations | [
"source_datasets:parsed",
"language:en",
"license:cc-by-4.0",
"common_sense",
"region:us"
] | 2023-07-18T06:13:36+00:00 | {"language": ["en"], "license": ["cc-by-4.0"], "source_datasets": ["parsed"], "pretty_name": "Conceptnet5En", "tags": ["common_sense"]} | 2023-07-18T13:55:10+00:00 | [] | [
"en"
] | TAGS
#source_datasets-parsed #language-English #license-cc-by-4.0 #common_sense #region-us
|
## Dataset Description
> This is a subset of the conceptnet5 dataset.
> I merely parsed and extracted out my required portion and uploaded here, since processing the huge complete dataset is complicated for many users.
> Please refer to the original authors' repo for a complete version.
In this subset, I have extr... | [
"## Dataset Description \n> This is a subset of the conceptnet5 dataset.\n> I merely parsed and extracted out my required portion and uploaded here, since processing the huge complete dataset is complicated for many users.\n> Please refer to the original authors' repo for a complete version. \n\n\nIn this subset, I... | [
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02ace5efbbbe6c763c473cf21d55f059cc36ec34 | # Dataset Card for "un_linebreak-1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liyongsea/un_linebreak-1000 | [
"region:us"
] | 2023-07-18T06:38:22+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "bool"}], "splits": [{"name": "train", "num_bytes": 81448559, "num_examples": 668128}, {"name": "test", "num_bytes": 10851041, "num_examples": 84617}], "download_size": 32630643, "dataset_size": 92299600}} | 2023-07-18T06:39:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "un_linebreak-1000"
More Information needed | [
"# Dataset Card for \"un_linebreak-1000\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"un_linebreak-1000\"\n\nMore Information needed"
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1c750c7716fcc042686c10d766b2b0dfeb29fe2c | ## Dataset Summary
MindBigData 2023 MNIST-2B is a reduced subset of the MindBigData 2023 MNIST-8B https://huggingface.co/datasets/DavidVivancos/MindBigData2023_MNIST-8B (June 1st 2023), brain signals open dataset created for Machine Learning, based on EEG signals from a single subject captured using a custom 128 chann... | DavidVivancos/MindBigData2023_MNIST-2B | [
"license:odbl",
"arxiv:2306.00455",
"region:us"
] | 2023-07-18T06:55:07+00:00 | {"license": "odbl"} | 2023-07-18T09:16:28+00:00 | [
"2306.00455"
] | [] | TAGS
#license-odbl #arxiv-2306.00455 #region-us
| ## Dataset Summary
MindBigData 2023 MNIST-2B is a reduced subset of the MindBigData 2023 MNIST-8B URL (June 1st 2023), brain signals open dataset created for Machine Learning, based on EEG signals from a single subject captured using a custom 128 channels device, replicating the full 70,000 digits from Yaan LeCun et a... | [
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86692190c9d00277629990d00a827ec5af309c70 | # Dataset Card for "manipulations"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | guyhadad01/manipulations | [
"region:us"
] | 2023-07-18T07:47:13+00:00 | {"dataset_info": {"features": [{"name": "Column1", "dtype": "float64"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 27574, "num_examples": 247}, {"name": "test", "num_bytes": 7991, "num_examples": 62}], "download_size": 23631, "dataset_size": 3556... | 2023-07-18T08:01:09+00:00 | [] | [] | TAGS
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| # Dataset Card for "manipulations"
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35c686667f703fae6c8fe74a85bf1d80162d44b2 | # Dataset Card for "Marathi_voices"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Patil/Marathi_voices | [
"task_categories:automatic-speech-recognition",
"task_categories:text-to-speech",
"size_categories:1K<n<10K",
"language:mr",
"region:us"
] | 2023-07-18T07:48:34+00:00 | {"language": ["mr"], "size_categories": ["1K<n<10K"], "task_categories": ["automatic-speech-recognition", "text-to-speech"], "dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 238435514.4... | 2023-07-27T17:31:25+00:00 | [] | [
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| # Dataset Card for "Marathi_voices"
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d564293c0f6305744be6f2e8624040b574ec41fa | # Dataset Card for "negobot_cleaned_100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ggul-tiger/negobot_cleaned_100 | [
"region:us"
] | 2023-07-18T07:52:31+00:00 | {"dataset_info": {"features": [{"name": "events", "list": [{"name": "message", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "title", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "result", "dtype": "string"}, {"name": "price", "dtype": "int64"}], "splits": [{"name": "tr... | 2023-07-18T07:53:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "negobot_cleaned_100"
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70cd4d9688f4ec0a2a86605ae69e299f8351d028 | # Dataset Card for "test_bud500"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | quocanh34/test_bud500 | [
"region:us"
] | 2023-07-18T08:12:04+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 615322772.5, "num_examples": 7500}], "download_size": 607905434, "dataset_size": 615322772.5}} | 2023-07-18T08:19:35+00:00 | [] | [] | TAGS
#region-us
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b8d3d7ec98e3845b41ebca346f7e8d933fae8038 | # Dataset Card for "manipulations2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | guyhadad01/manipulations2 | [
"region:us"
] | 2023-07-18T08:16:47+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 26663, "num_examples": 248}, {"name": "test", "num_bytes": 6976, "num_examples": 63}], "download_size": 21433, "dataset_size": 33639}} | 2023-07-18T08:16:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "manipulations2"
More Information needed | [
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4594a2d89bf4767fb32c211ae604d14ec88bd1f1 | # Dataset Card for "gutenberg-english-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | HangenYuu/gutenberg-english-train | [
"region:us"
] | 2023-07-18T08:34:04+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "ratio_char_token", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 21730024796, "num_examples": 48284}], "download_size": 0, "dataset_size": 21730024796}} | 2023-07-24T08:25:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gutenberg-english-train"
More Information needed | [
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25d6f2d184cdb954015cdb1cb4590c1c43c19f37 | # Dataset Card for "manipulations3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | guyhadad01/manipulations3 | [
"region:us"
] | 2023-07-18T08:57:36+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 25598, "num_examples": 247}, {"name": "test", "num_bytes": 7495, "num_examples": 62}], "download_size": 21019, "dataset_size": 33093}} | 2023-07-18T08:57:39+00:00 | [] | [] | TAGS
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0f6a890b57f6fa28032405209ed98116dbaae848 | SDXL Artists | newsletter/SDXL-Artists | [
"license:unknown",
"region:us"
] | 2023-07-18T09:37:07+00:00 | {"license": "unknown"} | 2023-07-18T17:28:03+00:00 | [] | [] | TAGS
#license-unknown #region-us
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dbd379c1d26c1ccbf614d9f62df9dd2ca63242e7 | # Dataset Card for "murat62"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Murat62/murat62 | [
"region:us"
] | 2023-07-18T09:54:21+00:00 | {"dataset_info": {"features": [{"name": "review", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1252876.2642514652, "num_examples": 3378}, {"name": "validation", "num_bytes": 139455.7357485349, "num_examples": 376}], "download_size": 0, "dataset_size": 13923... | 2023-07-19T05:49:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "murat62"
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bb04b6f3dd2fbd94c6fb4d2cdfe13f25ee9afe9d |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test-marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/He... | Vidyuth/marian-finetuned-kde4-en-to-fr | [
"license:apache-2.0",
"translation",
"generated_from_trainer",
"region:us"
] | 2023-07-18T09:56:42+00:00 | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "datasets": ["kde4"], "metrics": ["bleu"], "model-index": [{"name": "test-marian-finetuned-kde4-en-to-fr", "results": [{"task": {"name": "Sequence-to-sequence Language Modeling", "type": "text2text-generation"}, "dataset": {"name": "kde4", "ty... | 2023-07-18T10:09:08+00:00 | [] | [] | TAGS
#license-apache-2.0 #translation #generated_from_trainer #region-us
|
# test-marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8559
- Bleu: 52.9416
## Model description
More information needed
## Intended uses & limitations
More information needed
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1b6335d42a1d2c7e34870c905d03ab964f7f2bd8 |
## Chatbot Arena Conversations Dataset
This dataset contains 33K cleaned conversations with pairwise human preferences.
It is collected from 13K unique IP addresses on the [Chatbot Arena](https://lmsys.org/blog/2023-05-03-arena/) from April to June 2023.
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#task_categories-conversational #size_categories-10K<n<100K #license-cc #arxiv-2306.05685 #region-us
| Chatbot Arena Conversations Dataset
-----------------------------------
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c80121b7a4119a740bc64f76ec2267ca62c00097 | # Dataset Card for "c4_200m-gec-train100k-test25k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hafidikhsan/c4_200m-gec-train100k-test25k | [
"region:us"
] | 2023-07-18T11:06:33+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "length_input", "dtype": "int64"}, {"name": "length_output", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 28902894, "num_examples": 100000}, {"name": "test", "num_bytes": 7225040, "num_e... | 2023-07-18T11:06:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "c4_200m-gec-train100k-test25k"
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# Dataset Card for Dataset Name
## Dataset Description
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This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hug... | Alexxshadow/samples | [
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e19cce8206aa37dd1cb63fd610862c9d81f9d2c6 | # Dataset Card for "dolly_wizard_codepy_10k_random_wizardlm_orca"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Abzu/dolly_wizard_codepy_10k_random_wizardlm_orca | [
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7fb01cfade919c2bd89b287c472b0a65c73340c8 | # Dataset Card for "small-coco-wm_1_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | RIW/small-coco-wm_1_3 | [
"region:us"
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b74173700e850748a2c558e625d1a1e3992409d7 | # Dataset Card for "processed_dwi_sobel_with_adc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | deetsadi/processed_dwi_sobel_with_adc | [
"region:us"
] | 2023-07-18T12:39:38+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "conditioning_image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 40077622.0, "num_examples": 200}], "download_size": 40079175, "dataset_size": 40077622.0}} | 2023-07-18T12:46:55+00:00 | [] | [] | TAGS
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f88bab004ba1edac3e0b3d7b61a02eaa987c6240 | # Dataset Card for "ds_translate_vi_en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | phatjk/ds_translate_vi_en | [
"region:us"
] | 2023-07-18T12:40:00+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "labels", "dtype": "string"}, {"name": "text_tk", "struct": [{"name": "attention_mask", "sequence": "int64"}, {"name": "input_ids", "sequence": "int64"}]}, {"name": "labels_tk", "struct": [{"name": "attention_mask", "sequence": "int64"}, {"nam... | 2023-07-18T12:40:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ds_translate_vi_en"
More Information needed | [
"# Dataset Card for \"ds_translate_vi_en\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ds_translate_vi_en\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ds_translate_vi_en\"\n\nMore Information needed"
] |
fe51a48739aaf8a41b24a12f8cb2954e62c8f29e | # Dataset Card for "ds_translate_vi_en_bart"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | phatjk/ds_translate_vi_en_bart | [
"region:us"
] | 2023-07-18T13:01:00+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "labels", "sequence": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 96574315, "num_examples": 133317}], "download_size": 26447173, "dataset_size... | 2023-08-19T06:29:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ds_translate_vi_en_bart"
More Information needed | [
"# Dataset Card for \"ds_translate_vi_en_bart\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"ds_translate_vi_en_bart\"\n\nMore Information needed"
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c764ae5003dd238d27ece294e2bb379df9bdcbfd | The data folder is organized in directories, whose content can be outlined as follows:
- `model`: GMoE model used in the paper results section.
- `lifting_task_dataset_labeled`: containing labeled data formatted column-wise. The first row defines the name of each column. The data are annotated. The data is resampeled f... | ami-iit/manual_lifting_task_dataset | [
"license:bsd-3-clause-clear",
"region:us"
] | 2023-07-18T13:13:08+00:00 | {"license": "bsd-3-clause-clear"} | 2023-07-18T14:18:33+00:00 | [] | [] | TAGS
#license-bsd-3-clause-clear #region-us
| The data folder is organized in directories, whose content can be outlined as follows:
- 'model': GMoE model used in the paper results section.
- 'lifting_task_dataset_labeled': containing labeled data formatted column-wise. The first row defines the name of each column. The data are annotated. The data is resampeled f... | [] | [
"TAGS\n#license-bsd-3-clause-clear #region-us \n"
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"passage: TAGS\n#license-bsd-3-clause-clear #region-us \n"
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016f35f9b961daaaa7a352e927084e3da662ac1f |
# Korean Semantic Textual Similarity (KorSTS) Dataset
For a better dataset description, please visit this GitHub repository prepared by the authors of the article: [LINK](https://github.com/kakaobrain/kor-nlu-datasets) <br>
<br>
**This dataset was prepared by converting tsv files from this repository.** The idea was ... | dkoterwa/kor-sts | [
"license:cc-by-sa-4.0",
"region:us"
] | 2023-07-18T13:17:23+00:00 | {"license": "cc-by-sa-4.0", "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "genre", "dtype": "string"}, {"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "score", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 1034815, "num_examples":... | 2023-07-25T08:52:30+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
|
# Korean Semantic Textual Similarity (KorSTS) Dataset
For a better dataset description, please visit this GitHub repository prepared by the authors of the article: LINK <br>
<br>
This dataset was prepared by converting tsv files from this repository. The idea was to share the dataset for broader audience. I am not an... | [
"# Korean Semantic Textual Similarity (KorSTS) Dataset\n\nFor a better dataset description, please visit this GitHub repository prepared by the authors of the article: LINK <br>\n<br>\nThis dataset was prepared by converting tsv files from this repository. The idea was to share the dataset for broader audience. I a... | [
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072a40ff6763496a5a8215aa02ede630dbc9862f | # Dataset Card for "6216e360"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | results-sd-v1-5-sd-v2-1-if-v1-0-karlo/6216e360 | [
"region:us"
] | 2023-07-18T13:29:10+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 186, "num_examples": 10}], "download_size": 1338, "dataset_size": 186}} | 2023-07-18T13:29:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "6216e360"
More Information needed | [
"# Dataset Card for \"6216e360\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"6216e360\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"6216e360\"\n\nMore Information needed"
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ed37928716ac6bee655653586f1cf13033c770fa | # Dataset Card for "resume_parse"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | matmat13/resume_parse | [
"region:us"
] | 2023-07-18T13:40:39+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 92827045.0, "num_examples": 8}, {"name": "validation", "num_bytes": 23204290.0, "num_examples": 2}, {"name": "test", "num_bytes": 11601842.0, "num_examples": 1}], "... | 2023-07-18T14:47:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "resume_parse"
More Information needed | [
"# Dataset Card for \"resume_parse\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"resume_parse\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"resume_parse\"\n\nMore Information needed"
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fa7716d37326e3c998211f5a7d7750cdf019bb16 | # Dataset Card for "ppo-CartPole-v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | HumanCompatibleAI/ppo-CartPole-v1 | [
"region:us"
] | 2023-07-18T13:43:44+00:00 | {"dataset_info": {"features": [{"name": "obs", "sequence": {"sequence": "float32"}}, {"name": "acts", "sequence": "int64"}, {"name": "infos", "sequence": "string"}, {"name": "terminal", "dtype": "bool"}, {"name": "rews", "sequence": "float64"}], "splits": [{"name": "train", "num_bytes": 2103613, "num_examples": 100}], ... | 2023-07-18T13:43:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ppo-CartPole-v1"
More Information needed | [
"# Dataset Card for \"ppo-CartPole-v1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ppo-CartPole-v1\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ppo-CartPole-v1\"\n\nMore Information needed"
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c8356c45f43f299601331f85087e44f3e3af3e34 |
## Dataset Description
> This is a subset of the [conceptnet5 dataset](https://huggingface.co/datasets/conceptnet5).
> I merely parsed and extracted out my required portion and uploaded here, since processing the huge complete dataset is complicated for many users.
> Please refer to the original authors' repo for a c... | appledora/conceptnet5_bn | [
"size_categories:10K<n<100K",
"source_datasets:parsed",
"language:bn",
"license:cc-by-4.0",
"common_sense",
"region:us"
] | 2023-07-18T13:57:45+00:00 | {"language": ["bn"], "license": ["cc-by-4.0"], "size_categories": ["10K<n<100K"], "source_datasets": ["parsed"], "pretty_name": "Conceptnet5Bn", "tags": ["common_sense"]} | 2023-07-18T14:03:52+00:00 | [] | [
"bn"
] | TAGS
#size_categories-10K<n<100K #source_datasets-parsed #language-Bengali #license-cc-by-4.0 #common_sense #region-us
|
## Dataset Description
> This is a subset of the conceptnet5 dataset.
> I merely parsed and extracted out my required portion and uploaded here, since processing the huge complete dataset is complicated for many users.
> Please refer to the original authors' repo for a complete version.
In this subset, I have extr... | [
"## Dataset Description \n> This is a subset of the conceptnet5 dataset.\n> I merely parsed and extracted out my required portion and uploaded here, since processing the huge complete dataset is complicated for many users.\n> Please refer to the original authors' repo for a complete version. \n\n\nIn this subset, I... | [
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b6cef8990d9de5e3af871ac2fc4412da996fe685 | # Dataset Card for "Wizard-EvolInstruct70k-k16"
`centers.pt` in the files is a 16x384 matrix including the centers of each cluster. I use `sentence-transformers/all-MiniLM-L6-v2` to encode text.
```python
import torch
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "... | crumb/Wizard-EvolInstruct70k-k16 | [
"region:us"
] | 2023-07-18T14:02:09+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "cluster", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 131460545, "num_examples": 70000}], "download_size": 69227604, "dataset_size": 131460545}} | 2023-07-18T14:18:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Wizard-EvolInstruct70k-k16"
'URL' in the files is a 16x384 matrix including the centers of each cluster. I use 'sentence-transformers/all-MiniLM-L6-v2' to encode text.
| [
"# Dataset Card for \"Wizard-EvolInstruct70k-k16\"\n\n'URL' in the files is a 16x384 matrix including the centers of each cluster. I use 'sentence-transformers/all-MiniLM-L6-v2' to encode text."
] | [
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] |
8f8d103da95efb8c6e9a598e35fc9d3db3ef8e3b | # Dataset Card for "subset_squadv2_format"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mber/subset_squadv2_format | [
"region:us"
] | 2023-07-18T14:07:01+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name"... | 2023-07-18T14:14:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "subset_squadv2_format"
More Information needed | [
"# Dataset Card for \"subset_squadv2_format\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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26eb2bbb62420f2df5d5929f2580a6372a52c4d0 | # Dataset Card for "Wizard-EvolInstruct70k-k8"
`centers.pt` in the files is a 8x384 matrix including the centers of each cluster. I use `sentence-transformers/all-MiniLM-L6-v2` to encode text.
```python
import torch
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Ea... | crumb/Wizard-EvolInstruct70k-k8 | [
"region:us"
] | 2023-07-18T14:23:21+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "cluster", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 131460545, "num_examples": 70000}], "download_size": 69216368, "dataset_size": 131460545}} | 2023-07-18T14:25:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Wizard-EvolInstruct70k-k8"
'URL' in the files is a 8x384 matrix including the centers of each cluster. I use 'sentence-transformers/all-MiniLM-L6-v2' to encode text.
| [
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] |
0491651cc4afe834b6f5a5496393d236a0a42913 | # Dataset Card for "Wizard-EvolInstruct70k-k4"
`centers.pt` in the files is a 4x384 matrix including the centers of each cluster. I use `sentence-transformers/all-MiniLM-L6-v2` to encode text.
```python
import torch
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Ea... | crumb/Wizard-EvolInstruct70k-k4 | [
"region:us"
] | 2023-07-18T14:28:58+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "cluster", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 131460545, "num_examples": 70000}], "download_size": 69206496, "dataset_size": 131460545}} | 2023-07-20T02:25:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Wizard-EvolInstruct70k-k4"
'URL' in the files is a 4x384 matrix including the centers of each cluster. I use 'sentence-transformers/all-MiniLM-L6-v2' to encode text.
| [
"# Dataset Card for \"Wizard-EvolInstruct70k-k4\"\n\n'URL' in the files is a 4x384 matrix including the centers of each cluster. I use 'sentence-transformers/all-MiniLM-L6-v2' to encode text."
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] |
a75269beba060a1cdb7fcea13803c506a4befd18 | This dataset has been created for testing purposes only. The dataset has been created from the [RedPajama 1T Sample dataset](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T-Sample) by tokenizing the C4 sample data.
Licenses:
- [C4 License](https://huggingface.co/datasets/allenai/c4#license) | hakurei/megatron-dev-dataset | [
"region:us"
] | 2023-07-18T14:29:35+00:00 | {} | 2023-07-18T14:34:02+00:00 | [] | [] | TAGS
#region-us
| This dataset has been created for testing purposes only. The dataset has been created from the RedPajama 1T Sample dataset by tokenizing the C4 sample data.
Licenses:
- C4 License | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
8dabce79d57aef555cfae3fe0740759eb84bc877 | Ecommerce FAQ Chatbot Dataset
Overview
The Ecommerce FAQ Chatbot Dataset is a valuable collection of questions and corresponding answers, meticulously curated for training and evaluating chatbot models in the context of an Ecommerce environment. This dataset is designed to assist developers, researchers, and data scie... | Andyrasika/Ecommerce_FAQ | [
"license:creativeml-openrail-m",
"region:us"
] | 2023-07-18T14:30:25+00:00 | {"license": "creativeml-openrail-m"} | 2023-07-18T14:34:42+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| Ecommerce FAQ Chatbot Dataset
Overview
The Ecommerce FAQ Chatbot Dataset is a valuable collection of questions and corresponding answers, meticulously curated for training and evaluating chatbot models in the context of an Ecommerce environment. This dataset is designed to assist developers, researchers, and data scie... | [] | [
"TAGS\n#license-creativeml-openrail-m #region-us \n"
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18
] | [
"passage: TAGS\n#license-creativeml-openrail-m #region-us \n"
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740fef5772b60ebaaf81a5f9769677d343614aab | # Dataset Card for "Wizard-EvolInstruct70k-k32"
`centers.pt` in the files is a 32x384 matrix including the centers of each cluster. I use `sentence-transformers/all-MiniLM-L6-v2` to encode text.
```python
import torch
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "... | crumb/Wizard-EvolInstruct70k-k32 | [
"region:us"
] | 2023-07-18T14:39:48+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "cluster", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 131460545, "num_examples": 70000}], "download_size": 69240967, "dataset_size": 131460545}} | 2023-07-18T14:41:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Wizard-EvolInstruct70k-k32"
'URL' in the files is a 32x384 matrix including the centers of each cluster. I use 'sentence-transformers/all-MiniLM-L6-v2' to encode text.
| [
"# Dataset Card for \"Wizard-EvolInstruct70k-k32\"\n\n'URL' in the files is a 32x384 matrix including the centers of each cluster. I use 'sentence-transformers/all-MiniLM-L6-v2' to encode text."
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] |
7b2c9b4709f9f91b2f8d65f08111d3d12d14dee6 | # Dataset Card for "fine_tuning_task"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Shokou/fine_tuning_task | [
"region:us"
] | 2023-07-18T14:51:16+00:00 | {"dataset_info": {"features": [{"name": "category", "dtype": "string", "id": "field"}, {"name": "instruction", "dtype": "string", "id": "field"}, {"name": "context", "dtype": "string", "id": "field"}, {"name": "new-impression", "sequence": [{"name": "user_id", "dtype": "string"}, {"name": "value", "dtype": "string"}, {... | 2023-07-18T14:51:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fine_tuning_task"
More Information needed | [
"# Dataset Card for \"fine_tuning_task\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"fine_tuning_task\"\n\nMore Information needed"
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a61013766497100b6cf0ab318ca5c877aaff4d7a | # Dataset Card for "Wizard-EvolInstruct70k-k64"
`centers.pt` in the files is a 64x384 matrix including the centers of each cluster. I use `sentence-transformers/all-MiniLM-L6-v2` to encode text.
```python
import torch
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "... | crumb/Wizard-EvolInstruct70k-k64 | [
"region:us"
] | 2023-07-18T15:03:10+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "cluster", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 131460545, "num_examples": 70000}], "download_size": 69258716, "dataset_size": 131460545}} | 2023-07-18T16:34:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Wizard-EvolInstruct70k-k64"
'URL' in the files is a 64x384 matrix including the centers of each cluster. I use 'sentence-transformers/all-MiniLM-L6-v2' to encode text.
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] |
199bf769e2ddb673d68442a9756212ddd204426a |
# ELSA - Multimedia use case

**ELSA Multimedia is a large collection of Deep Fake images, generated using diffusion models**
### Dataset Summary
This dataset was developed as part of the EU pr... | elsaEU/ELSA1M_track1 | [
"license:cc-by-4.0",
"region:us"
] | 2023-07-18T15:50:36+00:00 | {"license": "cc-by-4.0", "elsaEU--ELSA1M_track1": {"description": "", "citation": "", "homepage": "", "license": "", "features": {"image": {"decode": true, "dtype": "Image"}, "id": {"dtype": "string", "_type": "Value"}, "original_prompt": {"dtype": "string", "_type": "Value"}, "positive_prompt": {"dtype": "string", "_t... | 2023-08-27T07:01:57+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| ELSA - Multimedia use case
==========================
!elsa\_slow.gif
ELSA Multimedia is a large collection of Deep Fake images, generated using diffusion models
### Dataset Summary
This dataset was developed as part of the EU project ELSA. Specifically for the Multimedia use-case.
Official webpage: URL
This da... | [
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dd71a2119ba06cdc0695ec29f92e259dd857a4f8 |
# Dataset Card for Dataset Name
## Dataset Description
- **Repository:** https://github.com/amazon-science/recode/tree/main
- **Paper:** https://arxiv.org/abs/2212.10264
### Dataset Summary
The Recode benchmark proposes to apply code and natural language transformations to code-generation benchmarks to evaluate th... | RaymondLi/perturbed_humaneval | [
"license:apache-2.0",
"arxiv:2212.10264",
"region:us"
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"2212.10264"
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#license-apache-2.0 #arxiv-2212.10264 #region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Repository: URL
- Paper: URL
### Dataset Summary
The Recode benchmark proposes to apply code and natural language transformations to code-generation benchmarks to evaluate the robustness of code-generation models.
This dataset contains the perturbed version ... | [
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d32810f0268e0fac76254548bcf9a79ce30c5a25 | # Dataset Card for "banners"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jganzabalseenka/banners | [
"region:us"
] | 2023-07-18T16:31:44+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "none", "1": "videograph", "2": "zocalo"}}}}, {"name": "image_640x640", "dtype": "image"}, {"name": "cropped_image", "dtype": "image"}, {"name": "embeddings_640x640", "sequence": "float32"}, {"... | 2023-07-19T01:13:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "banners"
More Information needed | [
"# Dataset Card for \"banners\"\n\nMore Information needed"
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bd02a50e6990e10f559de2d22e573dec23cf0968 | # Dataset Card for "bae444a7"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | results-sd-v1-5-sd-v2-1-if-v1-0-karlo/bae444a7 | [
"region:us"
] | 2023-07-18T16:37:22+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 176, "num_examples": 10}], "download_size": 1329, "dataset_size": 176}} | 2023-07-18T16:37:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bae444a7"
More Information needed | [
"# Dataset Card for \"bae444a7\"\n\nMore Information needed"
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711728bafc2b4cb73a60de5d0e2b211c292d9f52 | # Dataset Card for "twentieth_ce_philosophers_hf_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | alturing/twentieth_ce_philosophers_hf_dataset | [
"region:us"
] | 2023-07-18T16:45:19+00:00 | {"dataset_info": {"features": [{"name": "Name", "dtype": "string"}, {"name": "wiki_url", "dtype": "string"}, {"name": "wiki_content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3112675, "num_examples": 110}], "download_size": 1842912, "dataset_size": 3112675}} | 2023-07-18T16:45:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "twentieth_ce_philosophers_hf_dataset"
More Information needed | [
"# Dataset Card for \"twentieth_ce_philosophers_hf_dataset\"\n\nMore Information needed"
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13beb93d192ac6b1331849ac6e8b49b515b6fd02 |
# Dataset Card for Spider Skeleton Context Instruct
### Dataset Summary
Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students
The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases.
This dataset was creat... | richardr1126/spider-skeleton-context-instruct | [
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"language:en",
"license:cc-by-4.0",
"text-to-sql",
"SQL",
"Spider",
"fine-tune",
"region:us"
] | 2023-07-18T16:53:25+00:00 | {"language": ["en"], "license": ["cc-by-4.0"], "source_datasets": ["spider"], "pretty_name": "Spider Skeleton Context Instruct", "tags": ["text-to-sql", "SQL", "Spider", "fine-tune"], "dataset_info": {"features": [{"name": "db_id", "dtype": "string"}, {"name": "text", "dtype": "string"}]}} | 2023-07-18T16:55:47+00:00 | [] | [
"en"
] | TAGS
#source_datasets-spider #language-English #license-cc-by-4.0 #text-to-sql #SQL #Spider #fine-tune #region-us
|
# Dataset Card for Spider Skeleton Context Instruct
### Dataset Summary
Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students
The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases.
This dataset was creat... | [
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bea39ca31e9be168eac8040f8515a32172c309ec | # Dataset Card for "Llama-2-SQL-and-Code-Dataset"
This dataset is intended to provide LLaMA 2 improved coding and instruction following capabilities, with a specific focus on SQL generation.
The dataset is in Alpaca Instruct format. Please be sure to provide the instruction and input in the prompt to the model, along... | ChrisHayduk/Llama-2-SQL-and-Code-Dataset | [
"region:us"
] | 2023-07-18T17:28:31+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "table", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 46640417, "num_examples": 128351}, {"name": "eval", "num_bytes": 1756894, "num_examples... | 2023-09-29T03:18:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Llama-2-SQL-and-Code-Dataset"
This dataset is intended to provide LLaMA 2 improved coding and instruction following capabilities, with a specific focus on SQL generation.
The dataset is in Alpaca Instruct format. Please be sure to provide the instruction and input in the prompt to the model, along... | [
"# Dataset Card for \"Llama-2-SQL-and-Code-Dataset\"\n\nThis dataset is intended to provide LLaMA 2 improved coding and instruction following capabilities, with a specific focus on SQL generation.\n\nThe dataset is in Alpaca Instruct format. Please be sure to provide the instruction and input in the prompt to the m... | [
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a13cce0648ce4ef2e77463db302640c1f79caca4 | # Dataset Card for "test_embedding_onesec"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | on1onmangoes/test_embedding_onesec | [
"region:us"
] | 2023-07-18T18:29:16+00:00 | {"dataset_info": {"features": [{"name": "embeddings", "sequence": "float32"}, {"name": "audio_file_path", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2110, "num_examples": 1}], "download_size": 4462, "dataset_size": 2110}} | 2023-07-18T20:29:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_embedding_onesec"
More Information needed | [
"# Dataset Card for \"test_embedding_onesec\"\n\nMore Information needed"
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6878287347183419ae70a534f4d6db06518547f3 | # Dataset Card for "ArabicGuanaco-X-DSD-4PolyLM-Dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ali-C137/ArabicGuanaco-X-DSD-Dataset | [
"region:us"
] | 2023-07-18T18:37:04+00:00 | {"dataset_info": {"features": [{"name": "Text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 497099787, "num_examples": 15988}], "download_size": 251298896, "dataset_size": 497099787}} | 2023-07-18T18:37:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ArabicGuanaco-X-DSD-4PolyLM-Dataset"
More Information needed | [
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8f0be5b025b304cb14bd563315cacea36d84abb9 |
Description: The resumes are taken from here: https://www.kaggle.com/datasets/gauravduttakiit/resume-dataset
The resumes related to data science job positions are filtered and then summarised.
| Samir001/Resume_Summary | [
"license:other",
"region:us"
] | 2023-07-18T19:24:47+00:00 | {"license": "other"} | 2023-07-18T22:51:43+00:00 | [] | [] | TAGS
#license-other #region-us
|
Description: The resumes are taken from here: URL
The resumes related to data science job positions are filtered and then summarised.
| [] | [
"TAGS\n#license-other #region-us \n"
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11
] | [
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8a0351c01e76e36baf21c6c502ec5af6e8bea771 | # Toxic-comments
The dataset contains labeled examples of toxic and non-toxic text comments. Each comment is labeled with one of the two classes: "hate" or "not hate."
The classes are balanced, with an equal number of samples for each class.
The dataset is a smaller version of the original dataset [Toxic Comment Cl... | AiresPucrs/toxic-comments | [
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-07-18T19:30:01+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "pretty_name": "toxic-comments"} | 2024-01-14T10:58:17+00:00 | [] | [
"en"
] | TAGS
#size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
| # Toxic-comments
The dataset contains labeled examples of toxic and non-toxic text comments. Each comment is labeled with one of the two classes: "hate" or "not hate."
The classes are balanced, with an equal number of samples for each class.
The dataset is a smaller version of the original dataset Toxic Comment Cla... | [
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e6d51f978a1659efdf689ffab451ca94b1814185 |
ivrit.ai is a database of Hebrew audio and text content.
**audio-base** contains the raw, unprocessed sources.
**audio-vad** contains audio snippets generated by applying Silero VAD (https://github.com/snakers4/silero-vad) to the base dataset.
**audio-transcripts** contains transcriptions for each snippet in the au... | ivrit-ai/audio-transcripts | [
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"region:us"
] | 2023-07-18T19:47:24+00:00 | {"language": ["he"], "license": "other", "size_categories": ["1M<n<10M"], "task_categories": ["audio-classification", "voice-activity-detection"], "extra_gated_prompt": "You agree to the following license terms:\nThis material and data is licensed under the terms of the Creative Commons Attribution 4.0 International Li... | 2023-07-19T09:18:21+00:00 | [
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URL is a database of Hebrew audio and text content.
audio-base contains the raw, unprocessed sources.
audio-vad contains audio snippets generated by applying Silero VAD (URL to the base dataset.
audio-transcripts contains transcriptions for each snippet in the audio-vad dataset.
The audio-base dataset contains dat... | [] | [
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7e0a60ced55930f831da835acfa779d513030009 |
# Dataset Card for temp
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
... | frank098/temp | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-07-18T19:47:29+00:00 | {"size_categories": "n<1K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2023-07-18T19:48:06+00:00 | [] | [] | TAGS
#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
| Dataset Card for temp
=====================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
-------------------
* Homep... | [
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible wi... | [
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135123f7e2e4c838212c2bb32758562e5492d0ec | exactly what it sounds like | mirav/gurobooru | [
"region:us"
] | 2023-07-18T20:45:21+00:00 | {} | 2023-07-21T17:32:03+00:00 | [] | [] | TAGS
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b34b79d4533dc7fcca8f67ae21f330d3f6c863c5 |
# Dataset Card for MultiSim Benchmark
## Dataset Description
- **Repository:https://github.com/XenonMolecule/MultiSim/tree/main**
- **Paper:https://aclanthology.org/2023.acl-long.269/ https://arxiv.org/pdf/2305.15678.pdf**
- **Point of Contact: michaeljryan@stanford.edu**
### Dataset Summary
The MultiSim benchm... | MichaelR207/MultiSim | [
"task_categories:summarization",
"task_categories:text2text-generation",
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"size_categories:1M<n<10M",
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"language:fr",
"language:ru",
"language:ja",
"language:it",
"language:da",
"language:es",
"language:de",
"language:pt",
"language:sl",
"l... | 2023-07-18T20:55:31+00:00 | {"language": ["en", "fr", "ru", "ja", "it", "da", "es", "de", "pt", "sl", "ur", "eu"], "license": "mit", "size_categories": ["1M<n<10M"], "task_categories": ["summarization", "text2text-generation", "text-generation"], "pretty_name": "MultiSim", "tags": ["medical", "legal", "wikipedia", "encyclopedia", "science", "lite... | 2023-11-14T00:32:32+00:00 | [
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"da",
"es",
"de",
"pt",
"sl",
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"eu"
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===================================
Dataset Description
-------------------
* Repository:URL
* Paper:URL URL
* Point of Contact: michaeljryan@URL
### Dataset Summary
The MultiSim benchmark is a growing collection of text simplification datasets targeted at sentence simplifica... | [
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82c3cd87e0e8487c55f9ecb3732f2c7234a3b661 |
# Dataset Card for new_questions
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-da... | frank098/new_questions | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-07-18T22:25:09+00:00 | {"size_categories": "n<1K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2023-07-19T12:33:59+00:00 | [] | [] | TAGS
#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
| Dataset Card for new\_questions
===============================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
---------... | [
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7d44f77a23f554a89262ec92aa7d2ee595cc5288 | # Dataset Card for Dhivehi Presidential Speech 1.0
### Dataset Summary
Dhivehi Presidential Speech is a Dhivehi speech dataset created from data extracted and processed by [Sofwath](https://github.com/Sofwath) as part of a collection of Dhivehi datasets found [here](https://github.com/Sofwath/DhivehiDatasets).
The ... | dash8x/dv-presidential-speech | [
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"dhivehi",
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"president",
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] | 2023-07-18T22:48:11+00:00 | {"language": ["dv"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["automatic-speech-recognition", "text-to-speech"], "tags": ["audio", "dhivehi", "yag", "speech", "president", "political"]} | 2023-07-19T00:24:44+00:00 | [] | [
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| Dataset Card for Dhivehi Presidential Speech 1.0
================================================
### Dataset Summary
Dhivehi Presidential Speech is a Dhivehi speech dataset created from data extracted and processed by Sofwath as part of a collection of Dhivehi datasets found here.
The dataset contains around 2.5... | [
"### Dataset Summary\n\n\nDhivehi Presidential Speech is a Dhivehi speech dataset created from data extracted and processed by Sofwath as part of a collection of Dhivehi datasets found here.\n\n\nThe dataset contains around 2.5 hrs (1 GB) of speech collected from Maldives President's Office consisting of 7 speeches... | [
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9130c4997e6d7fa9cfca5a0122d7277cb0bd1ec6 |

# Dataset Card for Open Protein Instructions (OPI)
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
Open Protein Instructions(OPI) is the initial part of Open Biology Instructions(OBI) project, tog... | BAAI/OPI | [
"size_categories:1M<n<10M",
"language:en",
"license:cc-by-nc-4.0",
"biology",
"region:us"
] | 2023-07-18T23:30:26+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "size_categories": ["1M<n<10M"], "pretty_name": "OPI", "extra_gated_heading": "Acknowledge license to accept the repository", "extra_gated_prompt": "The Beijing Academy of Artificial Intelligence (hereinafter referred to as \"we\" or \"BAAI\") provides you with an open-so... | 2023-07-19T04:20:58+00:00 | [] | [
"en"
] | TAGS
#size_categories-1M<n<10M #language-English #license-cc-by-nc-4.0 #biology #region-us
|
!URL
# Dataset Card for Open Protein Instructions (OPI)
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
Open Protein Instructions(OPI) is the initial part of Open Biology Instructions(OBI) project, together with the subsequent Open Molecule Inst... | [
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930679fbe7cc764c10c58d1f3a200b6f8def2d8f | # Dataset Card for "popqa-parents-lying"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/popqa-parents-lying | [
"region:us"
] | 2023-07-18T23:40:17+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "false", "1": "true"}}}}, {"name": "true_label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 3223356, "num_examples": 31936}, {"name": "validation", "num_bytes": 695352, "num_... | 2023-07-19T14:57:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "popqa-parents-lying"
More Information needed | [
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b69246583bcfd8ed732cec96df5daf97ed86af8b |
# Dataset Card for "scientific_papers"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-i... | scillm/scientific_papers-archive | [
"task_categories:summarization",
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"multilinguality:monolingual",
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"source_datasets:original",
"language:en",
"license:unknown",
"abstractive-summarization",
"arxiv:1804.05685",
"region:us"
] | 2023-07-18T23:48:13+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": [], "pretty_name": "ScientificPapers", "tags": ["abstra... | 2023-09-07T05:17:42+00:00 | [
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| Dataset Card for "scientific\_papers"
=====================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ So... | [
"### Dataset Summary\n\n\nScientific papers datasets contains two sets of long and structured documents.\nThe datasets are obtained from ArXiv and PubMed OpenAccess repositories.\n\n\nBoth \"arxiv\" and \"pubmed\" have two features:\n\n\n* article: the body of the document, paragraphs separated by \"/n\".\n* abstra... | [
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ab9afad22fcca3ae55817ff0a2da3411857e0755 | # Dataset Card for "lhq_256"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | larrygzlb1994/lhq_256 | [
"region:us"
] | 2023-07-18T23:58:12+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 10200503160.0, "num_examples": 90000}], "download_size": 9301460861, "dataset_size": 10200503160.0}} | 2023-07-19T01:11:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lhq_256"
More Information needed | [
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c2e14d000766722b79ede85d14c29c0f398b06ea | # Healix-V1 Dataset
## Description
Healix-V1 is a rich and diverse dataset consisting of 809k Question-Answer pairs within the medical domain. This dataset has been meticulously curated to fuel research initiatives in the areas of medical language understanding, medical dialogue systems, and knowledge extraction. He... | health360/Healix-V1 | [
"size_categories:100K<n<1M",
"language:en",
"license:odc-by",
"biology",
"medical",
"region:us"
] | 2023-07-19T00:07:19+00:00 | {"language": ["en"], "license": "odc-by", "size_categories": ["100K<n<1M"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 427613608, "num_examples": 796239}], "download_size": 213902701, "dataset_size": 427613608}, "tags": ["biology", "medical"]} | 2023-07-19T14:16:02+00:00 | [] | [
"en"
] | TAGS
#size_categories-100K<n<1M #language-English #license-odc-by #biology #medical #region-us
| # Healix-V1 Dataset
## Description
Healix-V1 is a rich and diverse dataset consisting of 809k Question-Answer pairs within the medical domain. This dataset has been meticulously curated to fuel research initiatives in the areas of medical language understanding, medical dialogue systems, and knowledge extraction. He... | [
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fa2c6a6ab34a28ee79c3ea3c723ccf15e76477ca | # Dataset Card for "OpenOrcaSmaller2"
This is a small subset of the OpenOrca dataset that I got rid of all of the missing rows and changed it to an Alpaca format. I will hopefully use this to finetune a small model!
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-con... | ashercn97/OpenOrcaSmaller2 | [
"region:us"
] | 2023-07-19T00:10:32+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 284383027, "num_examples": 156291}], "download_size": 161343770, "dataset_si... | 2023-07-19T19:20:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OpenOrcaSmaller2"
This is a small subset of the OpenOrca dataset that I got rid of all of the missing rows and changed it to an Alpaca format. I will hopefully use this to finetune a small model!
More Information needed | [
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] |
ab22410c0589e39371431e3dd293e4f0fa0c4b26 | # Dataset Card for "wikipedia-22-12-en-embeddings-all-MiniLM-L6-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | maloyan/wikipedia-22-12-en-embeddings-all-MiniLM-L6-v2 | [
"region:us"
] | 2023-07-19T00:17:00+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "wiki_id", "dtype": "int32"}, {"name": "views", "dtype": "float32"}, {"name": "paragraph_id", "dtype": "int32"}, {"name": "langs", "dty... | 2023-07-19T01:57:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia-22-12-en-embeddings-all-MiniLM-L6-v2"
More Information needed | [
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396898df49f932fdd048e32c2bb0135d901cdf89 | # Dataset Card for Wunderdrug
## Dataset Description
### Dataset Summary
A toy dataset containing 69 one-sentence descriptions of the outcomes of treatment with a *fictional* drug named "Wunderdrug".
Each description contains a comment on Wunderdrug's effect on risk of death from heart disease, mentioning possible ... | klogram/wunderdrug | [
"size_categories:n<1K",
"language:en",
"license:mit",
"region:us"
] | 2023-07-19T00:45:38+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"]} | 2023-07-19T01:03:24+00:00 | [] | [
"en"
] | TAGS
#size_categories-n<1K #language-English #license-mit #region-us
| # Dataset Card for Wunderdrug
## Dataset Description
### Dataset Summary
A toy dataset containing 69 one-sentence descriptions of the outcomes of treatment with a *fictional* drug named "Wunderdrug".
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33ae0c37dfbd2bcae22e4671bbf827e5964b7bdd | # Dataset Card for Dataset Name
## Dataset Description
- **Homepage:** Quelle: https://dip.bundestag.de/
### Dataset Summary
Extracted the questions and answers from the DIP Service. All PDFs which are used are of type "Antwort".
In the current version the documents are between the following dates:
START_DATE =... | wirthual/dip-bundestag-qa | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:de",
"government",
"bundestag",
"region:us"
] | 2023-07-19T01:04:43+00:00 | {"language": ["de"], "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "tags": ["government", "bundestag"]} | 2023-08-02T00:38:17+00:00 | [] | [
"de"
] | TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-German #government #bundestag #region-us
| # Dataset Card for Dataset Name
## Dataset Description
- Homepage: Quelle: URL
### Dataset Summary
Extracted the questions and answers from the DIP Service. All PDFs which are used are of type "Antwort".
In the current version the documents are between the following dates:
START_DATE = "2015-05-07"
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2a4ee8d17f9386ac02ae2e2930e29ac7a7045819 | # Dataset Card for "19100_chat_64x_slot"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | FanChen0116/19100_chat_64x_slot | [
"region:us"
] | 2023-07-19T01:08:42+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "O", "1": "I-time", "2": "B-date", "3": "B-last_name", "4": "B-people", "5": "I-date", "6": "I-people", "7": "I-last_name", "8": "I-first_name", "9": ... | 2023-08-08T06:24:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "19100_chat_64x_slot"
More Information needed | [
"# Dataset Card for \"19100_chat_64x_slot\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"19100_chat_64x_slot\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"19100_chat_64x_slot\"\n\nMore Information needed"
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46cb8b8241e29720f03e859593cfa7895d90da58 | # Dataset Card for "19100_chat_64x_slot_empty"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | FanChen0116/19100_chat_64x_slot_empty | [
"region:us"
] | 2023-07-19T01:09:18+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "O", "1": "I-time", "2": "B-date", "3": "B-last_name", "4": "B-people", "5": "I-date", "6": "I-people", "7": "I-last_name", "8": "I-first_name", "9": ... | 2023-08-08T06:24:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "19100_chat_64x_slot_empty"
More Information needed | [
"# Dataset Card for \"19100_chat_64x_slot_empty\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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db38d9c4213bc311bfc1ebd6e2c196e63329ac3a | # Dataset Card for "19100_chat_64x_slot_pvi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | FanChen0116/19100_chat_64x_slot_pvi | [
"region:us"
] | 2023-07-19T01:10:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "O", "1": "I-time", "2": "B-date", "3": "B-last_name", "4": "B-people", "5": "I-date", "6": "I-people", "7": "I-last_name", "8": "I-first_name", "9": ... | 2024-01-09T10:56:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "19100_chat_64x_slot_pvi"
More Information needed | [
"# Dataset Card for \"19100_chat_64x_slot_pvi\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"19100_chat_64x_slot_pvi\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"19100_chat_64x_slot_pvi\"\n\nMore Information needed"
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8854c50301176ff31fd1135b184ebe56118a110a | # Dataset Card for "19100_chat_64x_slot_pvi_base"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | FanChen0116/19100_chat_64x_slot_pvi_base | [
"region:us"
] | 2023-07-19T01:16:05+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "O", "1": "I-time", "2": "B-date", "3": "B-last_name", "4": "B-people", "5": "I-date", "6": "I-people", "7": "I-last_name", "8": "I-first_name", "9": ... | 2023-07-20T00:15:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "19100_chat_64x_slot_pvi_base"
More Information needed | [
"# Dataset Card for \"19100_chat_64x_slot_pvi_base\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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8dc0066b53ee3e8e2121dd25af2a691854389b3d | # Dataset Card for "19100_chat_80x_slot_pvi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | FanChen0116/19100_chat_80x_slot_pvi | [
"region:us"
] | 2023-07-19T01:30:30+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "O", "1": "I-time", "2": "B-date", "3": "B-last_name", "4": "B-people", "5": "I-date", "6": "I-people", "7": "I-last_name", "8": "I-first_name", "9": ... | 2024-01-10T07:27:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "19100_chat_80x_slot_pvi"
More Information needed | [
"# Dataset Card for \"19100_chat_80x_slot_pvi\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"19100_chat_80x_slot_pvi\"\n\nMore Information needed"
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5997276ea89e68e361bbb78889a7d830fdd2e981 | # Dataset Card for "19100_chat_80x_slot_pvi_base"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | FanChen0116/19100_chat_80x_slot_pvi_base | [
"region:us"
] | 2023-07-19T01:30:42+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "O", "1": "I-time", "2": "B-date", "3": "B-last_name", "4": "B-people", "5": "I-date", "6": "I-people", "7": "I-last_name", "8": "I-first_name", "9": ... | 2023-07-19T15:48:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "19100_chat_80x_slot_pvi_base"
More Information needed | [
"# Dataset Card for \"19100_chat_80x_slot_pvi_base\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"19100_chat_80x_slot_pvi_base\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"19100_chat_80x_slot_pvi_base\"\n\nMore Information needed"
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ef78a3ab5356f3da1c6db2e0de57671192d9ff3b | # Dataset Card for "19100_chat_80x_slot_empty"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | FanChen0116/19100_chat_80x_slot_empty | [
"region:us"
] | 2023-07-19T01:31:09+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "O", "1": "I-time", "2": "B-date", "3": "B-last_name", "4": "B-people", "5": "I-date", "6": "I-people", "7": "I-last_name", "8": "I-first_name", "9": ... | 2023-09-22T12:12:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "19100_chat_80x_slot_empty"
More Information needed | [
"# Dataset Card for \"19100_chat_80x_slot_empty\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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0b1526a0f06ddd3d950157ff96526c14f7256a23 | # Dataset Card for "19100_chat_80x_slot"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | FanChen0116/19100_chat_80x_slot | [
"region:us"
] | 2023-07-19T01:31:16+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "O", "1": "I-time", "2": "B-date", "3": "B-last_name", "4": "B-people", "5": "I-date", "6": "I-people", "7": "I-last_name", "8": "I-first_name", "9": ... | 2023-09-22T12:11:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "19100_chat_80x_slot"
More Information needed | [
"# Dataset Card for \"19100_chat_80x_slot\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"19100_chat_80x_slot\"\n\nMore Information needed"
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f94605b72c52cc246332443eceea1e198989c7d5 | # Dataset Card for "GMT20230112_DCC_1052_Embeddings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | on1onmangoes/GMT20230112_DCC_1052_Embeddings | [
"region:us"
] | 2023-07-19T01:46:37+00:00 | {"dataset_info": {"features": [{"name": "embeddings", "sequence": {"sequence": "float32"}}, {"name": "audio_file_path", "dtype": "string"}, {"name": "timestamps", "sequence": "float64"}], "splits": [{"name": "train", "num_bytes": 1521542, "num_examples": 713}], "download_size": 0, "dataset_size": 1521542}, "configs": [... | 2023-07-31T22:45:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GMT20230112_DCC_1052_Embeddings"
More Information needed | [
"# Dataset Card for \"GMT20230112_DCC_1052_Embeddings\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GMT20230112_DCC_1052_Embeddings\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"GMT20230112_DCC_1052_Embeddings\"\n\nMore Information needed"
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4c57a6bdc7772532719371d7decb22fb4209d684 | # Dataset Card for "Soldering-Data-V3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ouvic215/Soldering-Data-V3 | [
"region:us"
] | 2023-07-19T02:06:11+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 61180839.75, "num_examples": 1522}], "download_size": 61064038, "dataset_size": 61180839.75}} | 2023-07-19T04:16:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Soldering-Data-V3"
More Information needed | [
"# Dataset Card for \"Soldering-Data-V3\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"Soldering-Data-V3\"\n\nMore Information needed"
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32fbde5d3ff4bd09fc62d7207f639450663397cd | # Dataset Card for "github-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jammm1412/github-issues | [
"region:us"
] | 2023-07-19T02:17:43+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "repository_url", "dtype": "string"}, {"name": "labels_url", "dtype": "string"}, {"name": "comments_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "int64"}, ... | 2023-07-19T02:17:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "github-issues"
More Information needed | [
"# Dataset Card for \"github-issues\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"github-issues\"\n\nMore Information needed"
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5e047fe1764e50868b22ae6f1c191ede448f4f26 |
This is a dataset of Cantonese-Written Chinese Parallel Corpus, containing 130k+ pairs of Cantonese and Traditional Chinese parallel sentences. | raptorkwok/cantonese-traditional-chinese-parallel-corpus | [
"task_categories:translation",
"size_categories:100K<n<1M",
"language:zh",
"license:cc0-1.0",
"region:us"
] | 2023-07-19T02:40:29+00:00 | {"language": ["zh"], "license": "cc0-1.0", "size_categories": ["100K<n<1M"], "task_categories": ["translation"], "pretty_name": "Cantonese-Written Chinese Parallel Corpus"} | 2024-01-30T11:13:07+00:00 | [] | [
"zh"
] | TAGS
#task_categories-translation #size_categories-100K<n<1M #language-Chinese #license-cc0-1.0 #region-us
|
This is a dataset of Cantonese-Written Chinese Parallel Corpus, containing 130k+ pairs of Cantonese and Traditional Chinese parallel sentences. | [] | [
"TAGS\n#task_categories-translation #size_categories-100K<n<1M #language-Chinese #license-cc0-1.0 #region-us \n"
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f4bd1c4a221bf8279e593da36344a98d6c51d3a1 |
# This Dialogue
Comprised of fictitious examples of dialogues between a physics professor and a student during office hours. Check out the example below:
```
"id":1,
"description":"Understanding the concept of velocity",
"dialogue":"Student: Professor, I'm having trouble understanding the concept of velocity. Could y... | FunDialogues/academia-physics-office-hours | [
"task_categories:question-answering",
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"fictitious dialogues",
"prototyping",
"region:us"
] | 2023-07-19T02:44:55+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["question-answering", "conversational"], "pretty_name": "academia-physics-office-hours ", "tags": ["fictitious dialogues", "prototyping"]} | 2023-12-18T05:22:24+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-conversational #size_categories-n<1K #language-English #license-apache-2.0 #fictitious dialogues #prototyping #region-us
|
# This Dialogue
Comprised of fictitious examples of dialogues between a physics professor and a student during office hours. Check out the example below:
# How to Load Dialogues
Loading dialogues can be accomplished using the fun dialogues library or Hugging Face datasets library.
## Load using fun dialogues
1. I... | [
"# This Dialogue\nComprised of fictitious examples of dialogues between a physics professor and a student during office hours. Check out the example below:",
"# How to Load Dialogues\nLoading dialogues can be accomplished using the fun dialogues library or Hugging Face datasets library.",
"## Load using fun dia... | [
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4ffa5160a1361b5af4a31c6a98e624368a6bac06 | # Dataset Card for "o1o2o3_xl_r2_coedit_iter_with_human_pref_practice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | owanr/o1o2o3_xl_r2_coedit_iter_with_human_pref_practice | [
"region:us"
] | 2023-07-19T02:45:16+00:00 | {"dataset_info": {"features": [{"name": "src", "dtype": "string"}, {"name": "tgt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 70690230, "num_examples": 244786}, {"name": "val", "num_bytes": 2920228, "num_examples": 10642}, {"name": "test", "num_bytes": 2920962, "num_examples": 10667}], "download_siz... | 2023-07-19T02:45:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "o1o2o3_xl_r2_coedit_iter_with_human_pref_practice"
More Information needed | [
"# Dataset Card for \"o1o2o3_xl_r2_coedit_iter_with_human_pref_practice\"\n\nMore Information needed"
] | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"o1o2o3_xl_r2_coedit_iter_with_human_pref_practice\"\n\nMore Information needed"
] |
a0f38aa93822521bbcc23e4e19694112d6409afe |
# This Dialogue
Comprised of fictitious examples of dialogues between a customer at a grocery store and the cashier. Check out the example below:
```
"id": 1,
"description": "Price inquiry",
"dialogue": "Customer: Excuse me, could you tell me the price of the apples per pound? Cashier: Certainly! The price for the ap... | FunDialogues/customer-service-grocery-cashier | [
"task_categories:question-answering",
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"fictitious dialogues",
"prototyping",
"customer service",
"region:us"
] | 2023-07-19T03:20:27+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["question-answering", "conversational"], "pretty_name": "customer-service-grocery-cashier", "tags": ["fictitious dialogues", "prototyping", "customer service"]} | 2023-12-18T05:23:35+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-conversational #size_categories-n<1K #language-English #license-apache-2.0 #fictitious dialogues #prototyping #customer service #region-us
|
# This Dialogue
Comprised of fictitious examples of dialogues between a customer at a grocery store and the cashier. Check out the example below:
# How to Load Dialogues
Loading dialogues can be accomplished using the fun dialogues library or Hugging Face datasets library.
## Load using fun dialogues
1. Install f... | [
"# This Dialogue\nComprised of fictitious examples of dialogues between a customer at a grocery store and the cashier. Check out the example below:",
"# How to Load Dialogues\nLoading dialogues can be accomplished using the fun dialogues library or Hugging Face datasets library.",
"## Load using fun dialogues\n... | [
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acae87131ccef2993d529a1389cb233a67407996 |
# This Dialogue
Comprised of fictitious examples of dialogues between a doctor and a patient during a minor medical consultation.. Check out the example below:
```
"id": 1,
"description": "Discussion about a common cold",
"dialogue": "Patient: Doctor, I've been feeling congested and have a runny nose. What can I do t... | FunDialogues/healthcare-minor-consultation | [
"task_categories:question-answering",
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"fictitious dialogues",
"prototyping",
"healthcare",
"region:us"
] | 2023-07-19T03:27:42+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["question-answering", "conversational"], "pretty_name": "healthcare-minor-consultation", "tags": ["fictitious dialogues", "prototyping", "healthcare"]} | 2023-12-18T05:23:02+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-conversational #size_categories-n<1K #language-English #license-apache-2.0 #fictitious dialogues #prototyping #healthcare #region-us
|
# This Dialogue
Comprised of fictitious examples of dialogues between a doctor and a patient during a minor medical consultation.. Check out the example below:
# How to Load Dialogues
Loading dialogues can be accomplished using the fun dialogues library or Hugging Face datasets library.
## Load using fun dialogue... | [
"# This Dialogue\nComprised of fictitious examples of dialogues between a doctor and a patient during a minor medical consultation.. Check out the example below:",
"# How to Load Dialogues\nLoading dialogues can be accomplished using the fun dialogues library or Hugging Face datasets library.",
"## Load using f... | [
"TAGS\n#task_categories-question-answering #task_categories-conversational #size_categories-n<1K #language-English #license-apache-2.0 #fictitious dialogues #prototyping #healthcare #region-us \n",
"# This Dialogue\nComprised of fictitious examples of dialogues between a doctor and a patient during a minor medica... | [
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"passage: TAGS\n#task_categories-question-answering #task_categories-conversational #size_categories-n<1K #language-English #license-apache-2.0 #fictitious dialogues #prototyping #healthcare #region-us \n# This Dialogue\nComprised of fictitious examples of dialogues between a doctor and a patient during a minor med... |
4a0eba4cb1804642a8fb771a57ba66ec642db6be |
# This Dialogue
Comprised of fictitious examples of dialogues between a basketball coach and the players on the court during a game. Check out the example below:
```
"id": 1,
"description": "Motivating the team",
"dialogue": "Coach: Let's give it our all, team! We've trained hard for this game, and I know we can come... | FunDialogues/sports-basketball-coach | [
"task_categories:question-answering",
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"fictitious dialogues",
"prototyping",
"sports",
"region:us"
] | 2023-07-19T03:40:21+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["question-answering", "conversational"], "pretty_name": "sports-basketball-coach", "tags": ["fictitious dialogues", "prototyping", "sports"]} | 2023-12-18T05:21:18+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-conversational #size_categories-n<1K #language-English #license-apache-2.0 #fictitious dialogues #prototyping #sports #region-us
|
# This Dialogue
Comprised of fictitious examples of dialogues between a basketball coach and the players on the court during a game. Check out the example below:
# How to Load Dialogues
Loading dialogues can be accomplished using the fun dialogues library or Hugging Face datasets library.
## Load using fun dialog... | [
"# This Dialogue\nComprised of fictitious examples of dialogues between a basketball coach and the players on the court during a game. Check out the example below:",
"# How to Load Dialogues\nLoading dialogues can be accomplished using the fun dialogues library or Hugging Face datasets library.",
"## Load using... | [
"TAGS\n#task_categories-question-answering #task_categories-conversational #size_categories-n<1K #language-English #license-apache-2.0 #fictitious dialogues #prototyping #sports #region-us \n",
"# This Dialogue\nComprised of fictitious examples of dialogues between a basketball coach and the players on the court ... | [
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"passage: TAGS\n#task_categories-question-answering #task_categories-conversational #size_categories-n<1K #language-English #license-apache-2.0 #fictitious dialogues #prototyping #sports #region-us \n# This Dialogue\nComprised of fictitious examples of dialogues between a basketball coach and the players on the cou... |
8397d8881ee6567aa7ebb6f5c1b004c18def46f6 | # Dataset Card for "planogram-sample-sd-data4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bharadwajkg/planogram-sample-sd-data4 | [
"region:us"
] | 2023-07-19T04:35:46+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17411832.0, "num_examples": 57}], "download_size": 17398572, "dataset_size": 17411832.0}} | 2023-07-19T04:35:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "planogram-sample-sd-data4"
More Information needed | [
"# Dataset Card for \"planogram-sample-sd-data4\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"planogram-sample-sd-data4\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"planogram-sample-sd-data4\"\n\nMore Information needed"
] |
51b0f1e707ff4897ed23254ea806fa1327f1ca38 | # Dataset Card for "custom_ontonotes5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jxu9001/custom_ontonotes5 | [
"region:us"
] | 2023-07-19T04:38:22+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "tags", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 3773643, "num_examples": 12195}, {"name": "validation", "num_bytes": 480047, "num_examples": 1553}, {"name": "test", "num_bytes": 481250, "num_examples": 1573}], "do... | 2023-07-20T18:08:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "custom_ontonotes5"
More Information needed | [
"# Dataset Card for \"custom_ontonotes5\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"custom_ontonotes5\"\n\nMore Information needed"
] | [
6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"custom_ontonotes5\"\n\nMore Information needed"
] |
e086dabd94b3d2c9aa696245e547324c549c97fa | # Dataset Card for "dacon-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | en2014/dacon-test | [
"region:us"
] | 2023-07-19T04:40:19+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}], "splits": [{"name": "test", "num_bytes": 11193914882.304, "num_examples": 5712}], "download_size": 11185740205, "dataset_size": 11193914882.304}} | 2023-07-19T06:28:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dacon-test"
More Information needed | [
"# Dataset Card for \"dacon-test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"dacon-test\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"dacon-test\"\n\nMore Information needed"
] |
93a869a99e8ce7ffb1332e07b1efb84f0c84d73a |
Dataset Collection from the following sources:
1. [id-multi-label-hate-speech-and-abusive-language-detection](https://github.com/okkyibrohim/id-multi-label-hate-speech-and-abusive-language-detection) | keelezibel/hate-speech-indo | [
"license:apache-2.0",
"region:us"
] | 2023-07-19T04:55:31+00:00 | {"license": "apache-2.0"} | 2023-07-19T05:10:31+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Dataset Collection from the following sources:
1. id-multi-label-hate-speech-and-abusive-language-detection | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
2dc7b5961c8ac8d73ccaa8afac8ac059b411f679 | # Dataset Card for "code-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hsultanbey/code-dataset | [
"region:us"
] | 2023-07-19T05:30:45+00:00 | {"dataset_info": {"features": [{"name": "language", "dtype": "string"}, {"name": "func_code_string", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 764364445.0859526, "num_examples": 857962}, {"name": "test", "num_bytes": 7721491.914047418, "num_examples": 8667}, {"name": "valid", "num_bytes": 35647063.... | 2023-07-19T05:31:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "code-dataset"
More Information needed | [
"# Dataset Card for \"code-dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"code-dataset\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"code-dataset\"\n\nMore Information needed"
] |
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