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261140aad3fb8469755389d276760d49e4778509 | # Dataset Card for "data-small-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Parikshith/data-small-test | [
"region:us"
] | 2023-02-24T01:53:00+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 14733, "num_examples": 128}, {"name": "validation", "num_bytes": 14139, "num_examples": 128}, {"name": "test", "num_bytes": 14... | 2023-02-24T01:54:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "data-small-test"
More Information needed | [
"# Dataset Card for \"data-small-test\"\n\nMore Information needed"
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"# Dataset Card for \"data-small-test\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"data-small-test\"\n\nMore Information needed"
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e650d9b7dc08f5a0d2c3d66050a1bd9087a7a2ea |
# 📖 Türkçe Vikipedi Mayıs 2023
Bu veri kümesi, Türkçe Vikipedi'den alınan makalelerin bir derlemesi olup, maskeleme dil modelleme ve metin oluşturma görevleri için tasarlanmıştır.
## 🗣️ Etiketlemeler
Bu veri kümesindeki makaleler, özellikle belirli bir görev için etiketlenmemiş olup, veri kümesi etiketsizdir.
## ... | musabg/wikipedia-tr | [
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:tr",
"license:cc-by-sa-3.0",
"license:gfdl",
"wikipedia,... | 2023-02-24T03:02:31+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["tr"], "license": ["cc-by-sa-3.0", "gfdl"], "multilinguality": [], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["fill-mask", "text-generation"], "task_ids": ["masked-language-modelin... | 2023-05-16T19:32:53+00:00 | [] | [
"tr"
] | TAGS
#task_categories-fill-mask #task_categories-text-generation #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #size_categories-100K<n<1M #source_datasets-original #language-Turkish #license-cc-by-sa-3.0 #license-gfdl #wikipedia, wiki, #region-us
|
# Türkçe Vikipedi Mayıs 2023
Bu veri kümesi, Türkçe Vikipedi'den alınan makalelerin bir derlemesi olup, maskeleme dil modelleme ve metin oluşturma görevleri için tasarlanmıştır.
## ️ Etiketlemeler
Bu veri kümesindeki makaleler, özellikle belirli bir görev için etiketlenmemiş olup, veri kümesi etiketsizdir.
## Dil... | [
"# Türkçe Vikipedi Mayıs 2023\nBu veri kümesi, Türkçe Vikipedi'den alınan makalelerin bir derlemesi olup, maskeleme dil modelleme ve metin oluşturma görevleri için tasarlanmıştır.",
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aefba599c523a507938c79be9039bd490bed4b1c | TRAINING_CORPUS.txt:
The TRAINING_CORPUS is the collection of 12 books (The modern Prometheus, The liar of the white worm by bram Stoker, The Vampyre; a Tale, Nightmare Abbey; by Thomas Love Peacock', The History of Caliph Vathek by William Beckford The Lock and Key Library :Classic Mystery and Detectives Stories: Old... | Dwaraka/Training_Dataset_of_Project_Gutebberg_Gothic_Fiction | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:en",
"region:us"
] | 2023-02-24T03:17:47+00:00 | {"language": ["en"], "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "pretty_name": "TESTING CORPUS"} | 2023-02-27T23:32:58+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-1M<n<10M #language-English #region-us
| TRAINING_CORPUS.txt:
The TRAINING_CORPUS is the collection of 12 books (The modern Prometheus, The liar of the white worm by bram Stoker, The Vampyre; a Tale, Nightmare Abbey; by Thomas Love Peacock', The History of Caliph Vathek by William Beckford The Lock and Key Library :Classic Mystery and Detectives Stories: Old... | [] | [
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681be478f4a5b66f23a33be96e76cf08322dfda2 |
# Lora - KimHongDo
## Dataset Description
- **원본** [김홍도 로라 공유](https://arca.live/b/aiart/70311638)
[huggingface](https://huggingface.co/datasets/Toraong/Hypernetwork)
전통화 그림으로 학습한 로라 파일
[다운로드](https://huggingface.co/datasets/AIARTCHAN/lora-kimhongdo/resolve/main/KimHongDo.safetensors) | AIARTCHAN/lora-kimhongdo | [
"license:creativeml-openrail-m",
"lora",
"aiartchan",
"stable-diffusion",
"region:us"
] | 2023-02-24T03:20:16+00:00 | {"license": "creativeml-openrail-m", "tags": ["lora", "aiartchan", "stable-diffusion"]} | 2023-02-24T03:26:06+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #lora #aiartchan #stable-diffusion #region-us
|
# Lora - KimHongDo
## Dataset Description
- 원본 김홍도 로라 공유
huggingface
전통화 그림으로 학습한 로라 파일
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] |
e3bef07e44816f1d1352694b847a1d3e1ac04dfa | # Dataset Card for "patched_test_p_80_f_membrane_m1_predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_test_p_80_f_membrane_m1_predictions | [
"region:us"
] | 2023-02-24T03:21:12+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "m1_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 1814009683, "num_examples": 2865341}], "download_size": 158251183, "dataset_size": 1814... | 2023-02-24T03:21:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_test_p_80_f_membrane_m1_predictions"
More Information needed | [
"# Dataset Card for \"patched_test_p_80_f_membrane_m1_predictions\"\n\nMore Information needed"
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a0a983923410d5c96130becf7f51743bb73e9336 | TRAINING_CORPUS.txt
The TRAINING_CORPUS is the collection of 12 books (The modern Prometheus, The liar of the white worm by bram Stoker, The Vampyre; a Tale, Nightmare Abbey; by Thomas Love Peacock', The History of Caliph Vathek by William Beckford The Lock and Key Library :Classic Mystery and Detectives Stories: Old T... | Dwaraka/Testing_Dataset_of_Project_Gutebberg_Gothic_Fiction | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:en",
"region:us"
] | 2023-02-24T03:29:38+00:00 | {"language": ["en"], "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "pretty_name": "TRAINING & TESTING DATASETS"} | 2023-02-27T23:31:07+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-1M<n<10M #language-English #region-us
| TRAINING_CORPUS.txt
The TRAINING_CORPUS is the collection of 12 books (The modern Prometheus, The liar of the white worm by bram Stoker, The Vampyre; a Tale, Nightmare Abbey; by Thomas Love Peacock', The History of Caliph Vathek by William Beckford The Lock and Key Library :Classic Mystery and Detectives Stories: Old T... | [] | [
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33
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28187b05936e4add58534f8fab1ce84bd02fc7d0 | # Dataset Card for "JPM"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | thercyl/JPM | [
"region:us"
] | 2023-02-24T03:52:25+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "float64"}, {"name": "Ticker", "dtype": "string"}, {"name": "Year", "dtype": "string"}, {"name": "Text", "dtype": "string"}, {"name": "Embedding", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 74251017, "num_examples": 2138}], "download_siz... | 2023-02-24T03:52:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "JPM"
More Information needed | [
"# Dataset Card for \"JPM\"\n\nMore Information needed"
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2b10bb3f4973c6316f33371ec11591d6d937fe98 | # Dataset Card for "WMT"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | thercyl/WMT | [
"region:us"
] | 2023-02-24T03:56:22+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "float64"}, {"name": "Ticker", "dtype": "string"}, {"name": "Year", "dtype": "string"}, {"name": "Text", "dtype": "string"}, {"name": "Embedding", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 64005595, "num_examples": 1836}], "download_siz... | 2023-02-24T03:56:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "WMT"
More Information needed | [
"# Dataset Card for \"WMT\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"WMT\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"WMT\"\n\nMore Information needed"
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93b83142c1dbab5b3db5394a0569eff26fa9be11 | - This Dataset has been downloaded from PubMed
- It has abstracts and titles that are related to type 2 DM
- the data has been cleaned before uploading
- it could be used for any NLP task, such as Domain Adaptation | Gaborandi/Type_2_Diabetes_Mellitus_pubmed_abstracts | [
"region:us"
] | 2023-02-24T03:59:10+00:00 | {} | 2023-02-24T04:02:24+00:00 | [] | [] | TAGS
#region-us
| - This Dataset has been downloaded from PubMed
- It has abstracts and titles that are related to type 2 DM
- the data has been cleaned before uploading
- it could be used for any NLP task, such as Domain Adaptation | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
e04236f4852b908205327b12bb223d6e87eb990d | # Dataset Card for "MA"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | thercyl/MA | [
"region:us"
] | 2023-02-24T04:01:54+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "float64"}, {"name": "Ticker", "dtype": "string"}, {"name": "Year", "dtype": "string"}, {"name": "Text", "dtype": "string"}, {"name": "Embedding", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 88317747, "num_examples": 2538}], "download_siz... | 2023-02-24T04:02:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MA"
More Information needed | [
"# Dataset Card for \"MA\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"MA\"\n\nMore Information needed"
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243f7cd61bcc64145e8f9342c3e9af41662f7b6c | - This Dataset has been downloaded from PubMed
- It has abstracts and titles that are related to Brain Tumors
- the data has been cleaned before uploading
- it could be used for any NLP task, such as Domain Adaptation | Gaborandi/Brain_Tumor_pubmed_abstracts | [
"region:us"
] | 2023-02-24T04:03:42+00:00 | {} | 2023-02-24T04:06:15+00:00 | [] | [] | TAGS
#region-us
| - This Dataset has been downloaded from PubMed
- It has abstracts and titles that are related to Brain Tumors
- the data has been cleaned before uploading
- it could be used for any NLP task, such as Domain Adaptation | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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b69ef0fc419e6cc09d45b410ef553290f92177b4 | # Dataset Card for "HD"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | thercyl/HD | [
"region:us"
] | 2023-02-24T04:05:31+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "float64"}, {"name": "Ticker", "dtype": "string"}, {"name": "Year", "dtype": "string"}, {"name": "Text", "dtype": "string"}, {"name": "Embedding", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 57668542, "num_examples": 1656}], "download_siz... | 2023-02-24T04:05:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "HD"
More Information needed | [
"# Dataset Card for \"HD\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"HD\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"HD\"\n\nMore Information needed"
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2a6c942eed9ae265cf45d466c2831c7ba5b5d8dd | # Dataset Card for "PG"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | thercyl/PG | [
"region:us"
] | 2023-02-24T04:14:16+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "float64"}, {"name": "Ticker", "dtype": "string"}, {"name": "Year", "dtype": "string"}, {"name": "Text", "dtype": "string"}, {"name": "Embedding", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 103619495, "num_examples": 2979}], "download_si... | 2023-02-24T04:14:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PG"
More Information needed | [
"# Dataset Card for \"PG\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"PG\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"PG\"\n\nMore Information needed"
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8ac1114323347bb82f805b2273c9487485495068 | # Dataset Card for "CVX"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | thercyl/CVX | [
"region:us"
] | 2023-02-24T04:17:27+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "float64"}, {"name": "Ticker", "dtype": "string"}, {"name": "Year", "dtype": "string"}, {"name": "Text", "dtype": "string"}, {"name": "Embedding", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 45082426, "num_examples": 1299}], "download_siz... | 2023-02-24T04:17:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CVX"
More Information needed | [
"# Dataset Card for \"CVX\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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85d4583436d6d0e1d92d9759d680efdb27bd3bcf | # Dataset Card for "LLY"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | thercyl/LLY | [
"region:us"
] | 2023-02-24T04:23:03+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "float64"}, {"name": "Ticker", "dtype": "string"}, {"name": "Year", "dtype": "string"}, {"name": "Text", "dtype": "string"}, {"name": "Embedding", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 78586543, "num_examples": 2258}], "download_siz... | 2023-02-24T04:23:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "LLY"
More Information needed | [
"# Dataset Card for \"LLY\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"LLY\"\n\nMore Information needed"
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81832caaefd7061551ce09d96ddfdbd8c528b0ad | # Dataset Card for "diffusion.2.textual_inversion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lansinuote/diffusion.2.textual_inversion | [
"region:us"
] | 2023-02-24T05:29:07+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1740639.0, "num_examples": 6}], "download_size": 0, "dataset_size": 1740639.0}} | 2023-02-24T06:16:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "diffusion.2.textual_inversion"
More Information needed | [
"# Dataset Card for \"diffusion.2.textual_inversion\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"diffusion.2.textual_inversion\"\n\nMore Information needed"
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ff2ac0a9235b1ab6aa26f59ad39bbfdc19acd681 | # Dataset Card for "snli_translated_en_fr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Parikshith/snli_translated_en_fr | [
"region:us"
] | 2023-02-24T06:41:26+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 61069688, "num_examples": 549367}, {"name": "validation", "num_bytes": 1102423, "num_examples": 9842}, {"name": "test", "num_b... | 2023-02-24T06:48:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "snli_translated_en_fr"
More Information needed | [
"# Dataset Card for \"snli_translated_en_fr\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"snli_translated_en_fr\"\n\nMore Information needed"
] |
24fda38c95de6867071ecefdfb6eca7b39d3aec3 | # Vector store of embeddings for books
- **"1984" by George Orwell**
- **"The Almanac of Naval Ravikant" by Eric Jorgenson**
This is a [faiss](https://github.com/facebookresearch/faiss) vector store created with [instructor embeddings](https://github.com/HKUNLP/instructor-embedding) using [LangChain](https://langchai... | calmgoose/book-embeddings | [
"task_categories:question-answering",
"task_categories:summarization",
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] | 2023-02-24T06:45:50+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["question-answering", "summarization", "conversational", "sentence-similarity"], "pretty_name": "FAISS Vector Store of Embeddings for Books", "tags": ["faiss", "langchain", "instructor embeddings", "vector stores", "books", "LLM"]} | 2023-05-02T19:47:09+00:00 | [] | [
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| # Vector store of embeddings for books
- "1984" by George Orwell
- "The Almanac of Naval Ravikant" by Eric Jorgenson
This is a faiss vector store created with instructor embeddings using LangChain . Use it for similarity search, question answering or anything else that leverages embeddings!
Creating these embedding... | [
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1ab6fd029ed4ff84999263772f2038b3bf7ccb64 | # Dataset Card for "french_translated_snli"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pranjali97/french_translated_snli | [
"language:en",
"language:fr",
"region:us"
] | 2023-02-24T07:05:10+00:00 | {"language": ["en", "fr"], "dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2": "contradiction"}}}}, {"name": "translated_premise", "dtype": "string"}, {"name": "tran... | 2023-10-02T19:43:20+00:00 | [] | [
"en",
"fr"
] | TAGS
#language-English #language-French #region-us
| # Dataset Card for "french_translated_snli"
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a14b7f79f47327c8a8376caa2c9a5a92266ae40f |
An imitation learning environment for the mujoco_ant environment, sample for the policy mujoco_ant_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_mujoco_ant_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-24T08:15:22+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-27T08:56:23+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the mujoco_ant environment, sample for the policy mujoco_ant_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
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] |
981cfe1eb94a6ff327fb1cc45a742ffd4c557359 |
An imitation learning environment for the mujoco_halfcheetah environment, sample for the policy mujoco_halfcheetah_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_mujoco_halfcheetah_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-24T08:33:21+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-27T08:57:46+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the mujoco_halfcheetah environment, sample for the policy mujoco_halfcheetah_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
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"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
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] |
16fb4cab7a86ce27ad0fbfb423357f728fd9b16f |
An imitation learning environment for the mujoco_hopper environment, sample for the policy mujoco_hopper_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_mujoco_hopper_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-24T08:34:58+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-27T08:59:21+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the mujoco_hopper environment, sample for the policy mujoco_hopper_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
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f049ac8a423c5eca230b199cb6d21a7241e60241 |
An imitation learning environment for the mujoco_doublependulum environment, sample for the policy mujoco_doublependulum_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_mujoco_doublependulum_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-24T08:36:24+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-27T09:00:44+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the mujoco_doublependulum environment, sample for the policy mujoco_doublependulum_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
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46
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] |
8501300bc82a779d33c7eb56fce642326506ee9e |
An imitation learning environment for the mujoco_pendulum environment, sample for the policy mujoco_pendulum_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_mujoco_pendulum_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-24T08:37:47+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-27T09:02:10+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the mujoco_pendulum environment, sample for the policy mujoco_pendulum_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
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] |
722419d7c3d970cd665cb24dd90318e02f4b0f92 |
An imitation learning environment for the mujoco_reacher environment, sample for the policy mujoco_reacher_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_mujoco_reacher_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-24T08:40:51+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-27T09:05:27+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the mujoco_reacher environment, sample for the policy mujoco_reacher_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
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"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
227c9167907bf1c79fe2ffb60a94404d77e24778 |
An imitation learning environment for the mujoco_swimmer environment, sample for the policy mujoco_swimmer_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_mujoco_swimmer_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-24T08:42:15+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-27T09:06:54+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the mujoco_swimmer environment, sample for the policy mujoco_swimmer_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
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46
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b4d1c920b24d7c09b95b692230a7e8d2d1b14708 |
An imitation learning environment for the mujoco_walker environment, sample for the policy mujoco_walker_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_mujoco_walker_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-24T08:43:46+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-27T09:08:27+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the mujoco_walker environment, sample for the policy mujoco_walker_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
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"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
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0d72edc61587548ab910eaa1cd5cecb233d7ef9e |
## Source:
Creator:
David J. Slate
Odesta Corporation; 1890 Maple Ave; Suite 115; Evanston, IL 60201
Donor:
David J. Slate (dave '@' math.nwu.edu) (708) 491-3867
## Data Set Information:
The objective is to identify each of a large number of black-and-white rectangular pixel displays as one of the 26 capital let... | wwydmanski/tabular-letter-recognition | [
"task_categories:tabular-classification",
"size_categories:10K<n<100K",
"tabular",
"region:us"
] | 2023-02-24T09:09:00+00:00 | {"size_categories": ["10K<n<100K"], "task_categories": ["tabular-classification"], "pretty_name": "Tabular letter recognition", "tags": ["tabular"]} | 2023-02-24T09:36:30+00:00 | [] | [] | TAGS
#task_categories-tabular-classification #size_categories-10K<n<100K #tabular #region-us
|
## Source:
Creator:
David J. Slate
Odesta Corporation; 1890 Maple Ave; Suite 115; Evanston, IL 60201
Donor:
David J. Slate (dave '@' URL) (708) 491-3867
## Data Set Information:
The objective is to identify each of a large number of black-and-white rectangular pixel displays as one of the 26 capital letters in t... | [
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7f137bd1ff4ba1bdca9d8a4a709094e3970a3a27 | # Dataset Card for "diffusion.4.text_to_image"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lansinuote/diffusion.4.text_to_image | [
"region:us"
] | 2023-02-24T10:14:17+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "input_ids", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 119636585.0, "num_examples": 833}], "download_size": 0, "dataset_size": 119636585.0}} | 2023-04-07T07:48:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "diffusion.4.text_to_image"
More Information needed | [
"# Dataset Card for \"diffusion.4.text_to_image\"\n\nMore Information needed"
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732320613bd46e6f6d01570c4cabe9c21e484e54 | # Dataset Card for "bad_good_method2test_10k_tokonized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Minata/bad_good_method2test_10k_tokonized | [
"region:us"
] | 2023-02-24T10:17:34+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 16822480, "num_examples": 10000}], "download_size": 4814929, "dataset_size": 16822480}} | 2023-02-24T20:22:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bad_good_method2test_10k_tokonized"
More Information needed | [
"# Dataset Card for \"bad_good_method2test_10k_tokonized\"\n\nMore Information needed"
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49bd43ab6fc78dc0ea0ac98aac6e351e4e9df224 |
## Publication Abstract
Colorectal cancer, a commonly diagnosed cancer in the elderly, often develops slowly from benign polyps called adenoma. The gut microbiota is believed to be directly involved in colorectal carcinogenesis. The identity and functional capacity of the adenoma- or carcinoma-related gut microbe(s),... | wwydmanski/colorectal-carcinoma-microbiome-fengq | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"microbiome",
"tabular",
"gut-microbiota",
"region:us"
] | 2023-02-24T10:27:04+00:00 | {"size_categories": ["n<1K"], "task_categories": ["tabular-classification"], "pretty_name": "Colorectal Carcinoma Feng Q 2015", "tags": ["microbiome", "tabular", "gut-microbiota"]} | 2023-02-25T15:34:21+00:00 | [] | [] | TAGS
#task_categories-tabular-classification #size_categories-n<1K #microbiome #tabular #gut-microbiota #region-us
|
## Publication Abstract
Colorectal cancer, a commonly diagnosed cancer in the elderly, often develops slowly from benign polyps called adenoma. The gut microbiota is believed to be directly involved in colorectal carcinogenesis. The identity and functional capacity of the adenoma- or carcinoma-related gut microbe(s),... | [
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3a1fe03a983610d426ba707e80d26e1af0c09ad8 | ### Context
The dataset consists of lists of unique objects of popular portals for the sale of real estate in Russia. More than 540 thousand objects.
The dataset contains 540000 real estate objects in Russia.
### Content
The Russian real estate market has a relatively short history. In the Soviet era, all properties... | daniilak/Russia_Real_Estate_2018_2021 | [
"license:cc",
"region:us"
] | 2023-02-24T10:34:39+00:00 | {"license": "cc"} | 2023-02-24T14:42:01+00:00 | [] | [] | TAGS
#license-cc #region-us
| ### Context
The dataset consists of lists of unique objects of popular portals for the sale of real estate in Russia. More than 540 thousand objects.
The dataset contains 540000 real estate objects in Russia.
### Content
The Russian real estate market has a relatively short history. In the Soviet era, all properties... | [
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2d2e8c704b810f97afe76188e66ab4708735cda4 |
The Sentiment DKSF (Digikala/Snappfood comments) is a dataset for sentiment analysis. | hezarai/sentiment-dksf | [
"task_categories:text-classification",
"language:fa",
"region:us"
] | 2023-02-24T10:39:43+00:00 | {"language": ["fa"], "task_categories": ["text-classification"], "pretty_name": "Digikala/SnappFood comments sentiment analysis"} | 2023-09-02T09:33:35+00:00 | [] | [
"fa"
] | TAGS
#task_categories-text-classification #language-Persian #region-us
|
The Sentiment DKSF (Digikala/Snappfood comments) is a dataset for sentiment analysis. | [] | [
"TAGS\n#task_categories-text-classification #language-Persian #region-us \n"
] | [
22
] | [
"passage: TAGS\n#task_categories-text-classification #language-Persian #region-us \n"
] |
910c5ce511484f18e31b50712c5da72ad9e746cf |
Real estate ads in Russia are published on the websites avito.ru, realty.yandex.ru, cian.ru, sob.ru, youla.ru, n1.ru, moyareklama.ru. The ads-api.ru service allows you to upload real estate ads for a fee. The parser of the service works strangely and duplicates real estate ads in the database if the authors extended t... | daniilak/Russia_Real_Estate_2021 | [
"license:cc",
"region:us"
] | 2023-02-24T10:52:04+00:00 | {"license": "cc"} | 2023-02-24T14:41:47+00:00 | [] | [] | TAGS
#license-cc #region-us
|
Real estate ads in Russia are published on the websites URL, URL, URL, URL, URL, URL, URL. The URL service allows you to upload real estate ads for a fee. The parser of the service works strangely and duplicates real estate ads in the database if the authors extended them after some time. Also in the Russian market th... | [
"# Dataset\nThe real estate market in Russia is of two types, in the dataset it is used as object type 0 - Secondary real estate market; 2 - New building.\nI found it necessary to determine the geolocation for each ad address and add the coordinates to this dataset. Also there is a number of the region of Russia. F... | [
"TAGS\n#license-cc #region-us \n",
"# Dataset\nThe real estate market in Russia is of two types, in the dataset it is used as object type 0 - Secondary real estate market; 2 - New building.\nI found it necessary to determine the geolocation for each ad address and add the coordinates to this dataset. Also there i... | [
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ffc7f1d3062d0fb05c98b7ac4c9061fd8324b16d |
## Shaded relief image dataset for geomorphological studies of Polish postglacial landscape
This dataset contains a list of 138 png images of shaded relief cut into the 128x128 arrays. The area that the dataset covers is compacted within the
two main geomorphological spheres in Poland - postglacial denuded and nonden... | Pacoch/postglacial-shaded-relief | [
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"task_categories:feature-extraction",
"size_categories:1M<n<10M",
"license:mit",
"geomorphology",
"image",
"png",
"region:us"
] | 2023-02-24T10:59:37+00:00 | {"license": "mit", "size_categories": ["1M<n<10M"], "task_categories": ["image-classification", "feature-extraction"], "pretty_name": "Shaded relief image dataset for geomorphological studies of Polish postglacial landscape", "tags": ["geomorphology", "image", "png"]} | 2023-02-24T11:35:00+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-feature-extraction #size_categories-1M<n<10M #license-mit #geomorphology #image #png #region-us
|
## Shaded relief image dataset for geomorphological studies of Polish postglacial landscape
This dataset contains a list of 138 png images of shaded relief cut into the 128x128 arrays. The area that the dataset covers is compacted within the
two main geomorphological spheres in Poland - postglacial denuded and nonden... | [
"## Shaded relief image dataset for geomorphological studies of Polish postglacial landscape\n\nThis dataset contains a list of 138 png images of shaded relief cut into the 128x128 arrays. The area that the dataset covers is compacted within the\ntwo main geomorphological spheres in Poland - postglacial denuded and... | [
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55,
129
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"passage: TAGS\n#task_categories-image-classification #task_categories-feature-extraction #size_categories-1M<n<10M #license-mit #geomorphology #image #png #region-us \n## Shaded relief image dataset for geomorphological studies of Polish postglacial landscape\n\nThis dataset contains a list of 138 png images of sh... |
977fa674b9f29f0d5446aab4797d2e70c5ec5cb2 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-s... | polinaeterna/test-user | [
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"multilinguality:monolingual",
"language:pl",
"license:mit",
"region:us"
] | 2023-02-24T11:51:23+00:00 | {"annotations_creators": ["expert-generated"], "language": ["pl"], "license": ["mit"], "multilinguality": ["monolingual"], "dataset_info": [{"config_name": "config", "features": [{"name": "audio_id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}... | 2023-02-24T12:06:17+00:00 | [] | [
"pl"
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#annotations_creators-expert-generated #multilinguality-monolingual #language-Polish #license-mit #region-us
|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- ... | [
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704290ae05ae4b267de4827f216ebaf68a929721 | # Dataset Card for "music-tags-to-spectrogram"
This dataset is extracted from the [MTG-Jamendo Datase](https://github.com/MTG/mtg-jamendo-dataset/tree/ef1248f0fc295a4bd2189531b0e2b4d158d219dc)
### We applied the following transformation:
- Convert audio to spectrogram diagram.
- Join tagging list into one-line text.
... | luli0034/music-tags-to-spectrogram | [
"region:us"
] | 2023-02-24T12:18:40+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12031171376.431, "num_examples": 1543}], "download_size": 12061543955, "dataset_size": 12031171376.431}} | 2023-02-24T15:56:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "music-tags-to-spectrogram"
This dataset is extracted from the MTG-Jamendo Datase
### We applied the following transformation:
- Convert audio to spectrogram diagram.
- Join tagging list into one-line text.
For example, there is a genre list that has three tags: chillout, downtempo, and easyliste... | [
"# Dataset Card for \"music-tags-to-spectrogram\"\n\nThis dataset is extracted from the MTG-Jamendo Datase",
"### We applied the following transformation:\n- Convert audio to spectrogram diagram.\n- Join tagging list into one-line text.\n For example, there is a genre list that has three tags: chillout, downtemp... | [
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"# Dataset Card for \"music-tags-to-spectrogram\"\n\nThis dataset is extracted from the MTG-Jamendo Datase",
"### We applied the following transformation:\n- Convert audio to spectrogram diagram.\n- Join tagging list into one-line text.\n For example, there is a genre list that has three... | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"music-tags-to-spectrogram\"\n\nThis dataset is extracted from the MTG-Jamendo Datase### We applied the following transformation:\n- Convert audio to spectrogram diagram.\n- Join tagging list into one-line text.\n For example, there is a genre list that has three ta... |
40691c5059923d37bb9bdebeb0aaf389b72469b2 | # AutoTrain Dataset for project: tax_issues
## Dataset Description
This dataset has been automatically processed by AutoTrain for project tax_issues.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
... | ram119900/TAX_ISSUES | [
"task_categories:text-classification",
"region:us"
] | 2023-02-24T13:19:03+00:00 | {"task_categories": ["text-classification"]} | 2023-02-24T13:35:01+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: tax\_issues
==========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project tax\_issues.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
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"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
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"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (... | [
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185eada63ac04543145fa315c136796f294c9252 | # Dataset Card for "ecthr_a"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | huynguyendayrui/ecthr_a | [
"region:us"
] | 2023-02-24T13:27:20+00:00 | {"dataset_info": {"features": [{"name": "text", "sequence": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "2", "1": "3", "2": "5", "3": "6", "4": "8", "5": "9", "6": "10", "7": "11", "8": "14", "9": "P1-1"}}}}, {"name": "law", "sequence": "string"}], "splits": [{"name": "train", "num_bytes":... | 2023-02-24T13:29:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ecthr_a"
More Information needed | [
"# Dataset Card for \"ecthr_a\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ecthr_a\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ecthr_a\"\n\nMore Information needed"
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aee513058486de75958cb2c909a617cd7f641de3 | # Dataset Card for "bot_issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | loubnabnl/bot_issues | [
"region:us"
] | 2023-02-24T13:31:51+00:00 | {"dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "org", "dtype": "string"}, {"name": "issue_id", "dtype": "int64"}, {"name": "issue_number", "dtype": "int64"}, {"name": "pull_request", "struct": [{"name": "number", "dtype": "int64"}, {"name": "repo", "dtype": "string"}, {"name": "user_login"... | 2023-02-24T13:32:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bot_issues"
More Information needed | [
"# Dataset Card for \"bot_issues\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bot_issues\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"bot_issues\"\n\nMore Information needed"
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c2f68cb79058d5c59b1f3a33f2a8738ff5b5d330 | # Dataset Card for "VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_ns_25994_open_ended"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_ns_25994_open_ended | [
"region:us"
] | 2023-02-24T13:35:37+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "true_label", "sequence": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0_bs_128", "num_bytes": 3760069, "num_examples": 25994}], "download_size": 0, "dataset_size": 3... | 2023-02-24T17:03:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_ns_25994_open_ended"
More Information needed | [
"# Dataset Card for \"VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_ns_25994_open_ended\"\n\nMore Information needed"
] | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_ns_25994_open_ended\"\n\nMore Information needed"
] |
9329931203c58e00373f9cc4bac258ee44c5d9c8 | # Dataset Card for "preprocessed-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | loubnabnl/preprocessed-issues | [
"region:us"
] | 2023-02-24T14:54:11+00:00 | {"dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "org", "dtype": "string"}, {"name": "issue_id", "dtype": "int64"}, {"name": "issue_number", "dtype": "int64"}, {"name": "pull_request", "struct": [{"name": "number", "dtype": "int64"}, {"name": "repo", "dtype": "string"}, {"name": "user_login"... | 2023-02-24T14:54:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "preprocessed-issues"
More Information needed | [
"# Dataset Card for \"preprocessed-issues\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"preprocessed-issues\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"preprocessed-issues\"\n\nMore Information needed"
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aa665b890915f7a42f8615bee868a9f3447e178f | # Dataset Card for InstructPix2Pix CLIP-filtered
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structur... | timbrooks/instructpix2pix-clip-filtered | [
"size_categories:100K<n<1M",
"language:en",
"arxiv:2211.09800",
"region:us"
] | 2023-02-24T14:55:53+00:00 | {"language": ["en"], "size_categories": ["100K<n<1M"], "dataset_info": {"features": [{"name": "original_prompt", "dtype": "string"}, {"name": "original_image", "dtype": "image"}, {"name": "edit_prompt", "dtype": "string"}, {"name": "edited_prompt", "dtype": "string"}, {"name": "edited_image", "dtype": "image"}], "split... | 2023-03-02T11:19:16+00:00 | [
"2211.09800"
] | [
"en"
] | TAGS
#size_categories-100K<n<1M #language-English #arxiv-2211.09800 #region-us
| # Dataset Card for InstructPix2Pix CLIP-filtered
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Ann... | [
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eea253c8f415887e99256974b46e6be1934adb36 |
As the title suggests, this dataset is a derivative of the cc100-sr common-crawl based dataset for Serbian.
It was deduplicated on the sentence level, and transliterated into latin alphabet.
Dataset is constituted of JSON files, where the textual sentences are located in the "sents" attribute of the object root and ... | jerteh/cc100-sr-jerteh | [
"language:sr",
"region:us"
] | 2023-02-24T15:11:59+00:00 | {"language": ["sr"], "pretty_name": "cc100-sr derivation by JeRTeh"} | 2023-02-24T17:56:39+00:00 | [] | [
"sr"
] | TAGS
#language-Serbian #region-us
|
As the title suggests, this dataset is a derivative of the cc100-sr common-crawl based dataset for Serbian.
It was deduplicated on the sentence level, and transliterated into latin alphabet.
Dataset is constituted of JSON files, where the textual sentences are located in the "sents" attribute of the object root and ... | [] | [
"TAGS\n#language-Serbian #region-us \n"
] | [
11
] | [
"passage: TAGS\n#language-Serbian #region-us \n"
] |
4688373bb270bf6fac69277394c97fc7e1d6fc69 | # Dataset Card for "VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_25994_open_ended"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_25994_open_ended | [
"region:us"
] | 2023-02-24T15:20:49+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "true_label", "sequence": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes": 3799851, "num_examples": 25994}], "download_size": 0, "dataset_size": 37... | 2023-02-24T18:20:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_25994_open_ended"
More Information needed | [
"# Dataset Card for \"VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_25994_open_ended\"\n\nMore Information needed"
] | [
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"# Dataset Card for \"VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_25994_open_ended\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_25994_open_ended\"\n\nMore Information needed"
] |
664da407ba422304b1500dfc64011688075030a0 | # Dataset Card for "VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_10_open_ended"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_10_open_ended | [
"region:us"
] | 2023-02-24T16:06:16+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "true_label", "sequence": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes": 1822, "num_examples": 10}], "download_size": 3607, "dataset_size": 1822}... | 2023-02-24T16:06:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_10_open_ended"
More Information needed | [
"# Dataset Card for \"VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_10_open_ended\"\n\nMore Information needed"
] | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_10_open_ended\"\n\nMore Information needed"
] |
8d8f396f88f286741f3b1ca08a859a1ad027c156 | # Dataset Card for "large-text-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | loubnabnl/large-text-issues | [
"region:us"
] | 2023-02-24T16:14:49+00:00 | {"dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "org", "dtype": "string"}, {"name": "issue_id", "dtype": "int64"}, {"name": "issue_number", "dtype": "int64"}, {"name": "pull_request", "struct": [{"name": "number", "dtype": "int64"}, {"name": "repo", "dtype": "string"}, {"name": "user_login"... | 2023-03-01T19:20:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "large-text-issues"
More Information needed | [
"# Dataset Card for \"large-text-issues\"\n\nMore Information needed"
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"# Dataset Card for \"large-text-issues\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"large-text-issues\"\n\nMore Information needed"
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943bee78d757ea4f58faa9da487684994b62f95c | # Dataset Card for "VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_4_open_ended"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_4_open_ended | [
"region:us"
] | 2023-02-24T16:18:13+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "true_label", "sequence": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes": 783, "num_examples": 4}], "download_size": 0, "dataset_size": 783}} | 2023-02-24T16:45:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_4_open_ended"
More Information needed | [
"# Dataset Card for \"VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_4_open_ended\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_minival_google_flan_t5_xxl_mode_VQAv2_visclues_detection_ns_4_open_ended\"\n\nMore Information needed"
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] |
48ffae0db42808186b81d7d39579dff124a08587 | # AutoTrain Dataset for project: klasifikasi-tutupan-lahan
## Dataset Description
This dataset has been automatically processed by AutoTrain for project klasifikasi-tutupan-lahan.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset l... | martinms20/eurosat50-land-cover | [
"task_categories:image-classification",
"region:us"
] | 2023-02-24T16:26:41+00:00 | {"task_categories": ["image-classification"]} | 2023-02-24T16:30:39+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: klasifikasi-tutupan-lahan
========================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project klasifikasi-tutupan-lahan.
### Languages
The BCP-47 code for the dataset's language is ... | [
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"### Dataset Splits\n\n\nThis d... | [
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893b20897a66275ef9a5105da5b4a98847cc1694 | ## Dataset Description
Spanish-BFF is the first Spanish AI-generated dictionary using GPT3.
- **Paper:** [Spanish Built Factual Freectianary (Spanish-BFF): the first IA-generated free dictionary](https://arxiv.org/abs/2302.12746)
- **Point of Contact:** oscar.garcia@dezzai.com , alfonso.ardoiz@dezzai.com
### Datase... | MMG/SpanishBFF | [
"annotations_creators:AI-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:es",
"license:gpl-3.0",
"arxiv:2302.12746",
"region:us"
] | 2023-02-24T16:28:06+00:00 | {"annotations_creators": ["AI-generated"], "language": ["es"], "license": "gpl-3.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "pretty_name": "Spanish Built Factual Freectianary (Spanish-BFF)"} | 2023-03-01T13:27:48+00:00 | [
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#annotations_creators-AI-generated #multilinguality-monolingual #size_categories-10K<n<100K #language-Spanish #license-gpl-3.0 #arxiv-2302.12746 #region-us
| Dataset Description
-------------------
Spanish-BFF is the first Spanish AI-generated dictionary using GPT3.
* Paper: Spanish Built Factual Freectianary (Spanish-BFF): the first IA-generated free dictionary
* Point of Contact: URL@URL , URL@URL
### Dataset Summary
Spanish-BFF contains a total of 66353 lemmas wi... | [
"### Dataset Summary\n\n\nSpanish-BFF contains a total of 66353 lemmas with its definitions (only one definiton per lemma).\n\n\nThese lemmas correspond to nominal, adjetival, verbal and adverbial classes.",
"### Languages\n\n\n* Spanish (es)\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\n... | [
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e9ee3e926789efd03d1d5d4737b447a37e844c99 | # Dataset Card for "pre-processed-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | loubnabnl/pre-processed-issues | [
"region:us"
] | 2023-02-24T16:53:07+00:00 | {"dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "org", "dtype": "string"}, {"name": "issue_id", "dtype": "int64"}, {"name": "issue_number", "dtype": "int64"}, {"name": "pull_request", "struct": [{"name": "number", "dtype": "int64"}, {"name": "repo", "dtype": "string"}, {"name": "user_login"... | 2023-02-24T16:53:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pre-processed-issues"
More Information needed | [
"# Dataset Card for \"pre-processed-issues\"\n\nMore Information needed"
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4dc56e367663251eef564b67f51c532038ff1707 |
SrpELTeC is a corpus of old Serbian novels for the first time published in the period 1840-1920. years of digitized within COST ACTION CO16204: Distant Reading for European Literary History, 2018-2022.
The corpus includes 120 novels with 5,263.071 words, 22700 pages, 2557 chapters, 158,317 passages, 567 songs, 2972 v... | jerteh/SrpELTeC | [
"size_categories:1M<n<10M",
"language:sr",
"license:cc-by-4.0",
"region:us"
] | 2023-02-24T17:41:53+00:00 | {"language": ["sr"], "license": "cc-by-4.0", "size_categories": ["1M<n<10M"], "pretty_name": "Serbian Literary Text Collection", "field": "sents"} | 2023-09-10T05:13:01+00:00 | [] | [
"sr"
] | TAGS
#size_categories-1M<n<10M #language-Serbian #license-cc-by-4.0 #region-us
|
SrpELTeC is a corpus of old Serbian novels for the first time published in the period 1840-1920. years of digitized within COST ACTION CO16204: Distant Reading for European Literary History, 2018-2022.
The corpus includes 120 novels with 5,263.071 words, 22700 pages, 2557 chapters, 158,317 passages, 567 songs, 2972 v... | [] | [
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dd72c79733e21d00028273a9998ef501140eb156 |
Dataset contain text from Wikipedia articles in Serbian (obtained in early 2020) totaling in 477473 articles, as well as some of the WikiSource.
Dataset is constituted of JSON files, where the textual sentences are located in the "sents" attribute of the object root and can be obtianed via:
```python
from json impor... | jerteh/SrpWiki | [
"language:sr",
"license:cc-by-4.0",
"region:us"
] | 2023-02-24T17:50:51+00:00 | {"language": ["sr"], "license": "cc-by-4.0", "pretty_name": "Serbian WikiMedia dataset"} | 2023-02-24T18:00:15+00:00 | [] | [
"sr"
] | TAGS
#language-Serbian #license-cc-by-4.0 #region-us
|
Dataset contain text from Wikipedia articles in Serbian (obtained in early 2020) totaling in 477473 articles, as well as some of the WikiSource.
Dataset is constituted of JSON files, where the textual sentences are located in the "sents" attribute of the object root and can be obtianed via:
| [] | [
"TAGS\n#language-Serbian #license-cc-by-4.0 #region-us \n"
] | [
20
] | [
"passage: TAGS\n#language-Serbian #license-cc-by-4.0 #region-us \n"
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bbab3c0f434dbb177ddfaa0189ad1e0b34528b37 | # Dataset Card for "sample_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Maiia/sample_dataset | [
"region:us"
] | 2023-02-24T18:09:36+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int64"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "I-education", "1": "I-title", "2": "O", "3": "B-title", "4": "B-education", "5": "I-collaborate_with", "6": "B-skill", "7": "I-skill", "8": "I-certification", "9": "B-collaborate_wi... | 2023-02-24T18:09:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sample_dataset"
More Information needed | [
"# Dataset Card for \"sample_dataset\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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4272fb8a9f930a4e89acc4541407a2a9cf7e9b17 | # Dataset Card for "text2text-10-predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | davidberenstein1957/text2text-10-predictions | [
"region:us"
] | 2023-02-24T18:24:19+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "target", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 104132.0, "num_examples": 72}, {"name": "test", "num_bytes": 26033.0, "num_examples": 18}], "download_size": 86213, "dataset_size": 130165.0}} | 2023-03-02T10:37:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "text2text-10-predictions"
More Information needed | [
"# Dataset Card for \"text2text-10-predictions\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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67b65cfa1347e0fd914fa27161a0b2eed2458a0c |
Thanks and please support:
Ecigator is one of the well-known vape brands spun off from Giftsoar Technology Co., Ltd, it’s an ISO-certified [disposable vape manufacturer](https://ecigator.com/) for OEMs, ODMs, and OBM since 2010.
[https://ecigator.com/](https://ecigator.com/) | vapecig/promptsai | [
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"license:bsd",
"region:us"
] | 2023-02-24T18:37:23+00:00 | {"language": ["en"], "license": "bsd", "size_categories": ["n<1K"], "task_categories": ["text-generation"], "pretty_name": "Awesome chatGPT prompts"} | 2023-02-24T19:56:14+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-n<1K #language-English #license-bsd #region-us
|
Thanks and please support:
Ecigator is one of the well-known vape brands spun off from Giftsoar Technology Co., Ltd, it’s an ISO-certified disposable vape manufacturer for OEMs, ODMs, and OBM since 2010.
URL | [] | [
"TAGS\n#task_categories-text-generation #size_categories-n<1K #language-English #license-bsd #region-us \n"
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37
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dabe901881c7bec30a0b1dadfafab826a4ad0b96 | # Dataset Card for "wikipedia_512_pretraining"
Wikipedia preprocessed for pretraining of models. Each sample in the dataset has an average tokenized length of 512 `RoBERTa-Base` tokens. | lucadiliello/wikipedia_512_pretraining | [
"size_categories:1M<n<10M",
"language:en",
"region:us"
] | 2023-02-24T18:40:57+00:00 | {"language": ["en"], "size_categories": ["1M<n<10M"], "pretty_name": "Wikipedia preprocessed for 512 tokens pretraining.", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9828026640.785877, "num_examples": 6699666}, {"name": "dev", "num_bytes": 146694277.607... | 2023-03-24T08:03:19+00:00 | [] | [
"en"
] | TAGS
#size_categories-1M<n<10M #language-English #region-us
| # Dataset Card for "wikipedia_512_pretraining"
Wikipedia preprocessed for pretraining of models. Each sample in the dataset has an average tokenized length of 512 'RoBERTa-Base' tokens. | [
"# Dataset Card for \"wikipedia_512_pretraining\"\n\nWikipedia preprocessed for pretraining of models. Each sample in the dataset has an average tokenized length of 512 'RoBERTa-Base' tokens."
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] |
f62928f52da2c0b8b666df90939d1cab743acd6f | # Dataset Card for "SRV-NLLB-Europarl-mt-es"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tj-solergibert/SRV-NLLB-Europarl-mt-es | [
"region:us"
] | 2023-02-24T19:18:12+00:00 | {"dataset_info": {"features": [{"name": "source_text", "dtype": "string"}, {"name": "dest_text", "dtype": "string"}, {"name": "dest_lang", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train"... | 2023-02-24T19:19:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SRV-NLLB-Europarl-mt-es"
More Information needed | [
"# Dataset Card for \"SRV-NLLB-Europarl-mt-es\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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16951295d18831440403037902df0df4201cc377 | # Dataset Card for "SRV-NLLB-Europarl-mt-en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tj-solergibert/SRV-NLLB-Europarl-mt-en | [
"region:us"
] | 2023-02-24T19:21:41+00:00 | {"dataset_info": {"features": [{"name": "source_text", "dtype": "string"}, {"name": "dest_text", "dtype": "string"}, {"name": "dest_lang", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train"... | 2023-02-24T19:22:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SRV-NLLB-Europarl-mt-en"
More Information needed | [
"# Dataset Card for \"SRV-NLLB-Europarl-mt-en\"\n\nMore Information needed"
] | [
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7a109ed1fa8347991607fd9c2d75d914a70ec603 | # Dataset Card for "pgvs_166k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tamisalex/pgvs_166k | [
"region:us"
] | 2023-02-24T19:29:27+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "title", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18305310384.0, "num_examples": 133230}, {"name": "test", "num_bytes": 2201461998.552, "num_examples": 16612}, {"name": "validation", "num_bytes": 2329645319.194, "num_exam... | 2023-02-28T20:12:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pgvs_166k"
More Information needed | [
"# Dataset Card for \"pgvs_166k\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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1b86bfd46e12f9906938fb5f9102acaa8d09f32a | # Dataset Card for "comments_preceding_bots"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | loubnabnl/comments_preceding_bots | [
"region:us"
] | 2023-02-24T19:34:28+00:00 | {"dataset_info": {"features": [{"name": "events", "list": [{"name": "action", "dtype": "string"}, {"name": "author", "dtype": "string"}, {"name": "comment_id", "dtype": "float64"}, {"name": "datetime", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "type", "dtype"... | 2023-02-24T19:50:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "comments_preceding_bots"
More Information needed | [
"# Dataset Card for \"comments_preceding_bots\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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e1396c12a47074eba3246b5f4cc7dc4b357bb64c | # Dataset Card for "FontsSmall"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/FontsSmall | [
"region:us"
] | 2023-02-24T19:34:52+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4309913.0, "num_examples": 999}], "download_size": 2730806, "dataset_size": 4309913.0}} | 2023-02-24T19:34:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FontsSmall"
More Information needed | [
"# Dataset Card for \"FontsSmall\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"FontsSmall\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"FontsSmall\"\n\nMore Information needed"
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51477db22cb1cdd3842c3c55cefab6b7ba491f55 | # AutoTrain Dataset for project: multifamily
## Dataset Description
This dataset has been automatically processed by AutoTrain for project multifamily.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
... | lineups-io/autotrain-data-multifamily | [
"task_categories:image-classification",
"region:us"
] | 2023-02-24T19:46:41+00:00 | {"task_categories": ["image-classification"]} | 2023-02-25T00:44:29+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: multifamily
==========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project multifamily.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------... | [
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b9c4e6adf7a46cf3a0e5325455add07a21bef106 |
# Dataset Card for dev_mode-wtq
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fiel... | Serverless/dev_mode-wtq | [
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"license:cc-by-4.0",
"table-question-answering",
"arxiv:1508.00305",
"region:us"... | 2023-02-24T20:28:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["wikitablequestions"], "task_categories": ["question-answering"], "task_ids": [], "pretty_name": "WikiTableQ... | 2023-02-24T20:33:26+00:00 | [
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|
# Dataset Card for dev_mode-wtq
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Con... | [
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750847f1d6a6dbe218a55f064a9f30f56f78441b | # Dataset for project: Pet-Ray
## Dataset Description
This G-Ray dataset has been processed by AutoTrain for Pet-Ray.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"image": "<1800x4000 RGB P... | Squirrl/autotrain-data-petscan | [
"task_categories:image-classification",
"region:us"
] | 2023-02-24T21:04:15+00:00 | {"task_categories": ["image-classification"]} | 2023-02-24T23:30:54+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| Dataset for project: Pet-Ray
============================
Dataset Description
-------------------
This G-Ray dataset has been processed by AutoTrain for Pet-Ray.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Data Instances
A sample from this datas... | [
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"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
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ca1455915d9c2bc260a10fde63511599b5649bdf | # Dataset Card for "VQAv2_sample_validation_with_img2prompt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_sample_validation_with_img2prompt | [
"region:us"
] | 2023-02-24T21:51:00+00:00 | {"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_i... | 2023-02-26T23:11:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_sample_validation_with_img2prompt"
More Information needed | [
"# Dataset Card for \"VQAv2_sample_validation_with_img2prompt\"\n\nMore Information needed"
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70e038b67d6310daa37d3089abe9da0768eb4a91 | - This Dataset has been downloaded from PubMed
- It has abstracts and titles that are related to HIV
- the data has been cleaned before uploading
- it could be used for any NLP task, such as Domain Adaptation | Gaborandi/HIV_pubmed_abstracts | [
"region:us"
] | 2023-02-24T21:52:15+00:00 | {} | 2023-02-24T21:53:22+00:00 | [] | [] | TAGS
#region-us
| - This Dataset has been downloaded from PubMed
- It has abstracts and titles that are related to HIV
- the data has been cleaned before uploading
- it could be used for any NLP task, such as Domain Adaptation | [] | [
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b1e1da9881b01d86c4771c89c057160ec694d69c | # Dataset Card for "dev_mode-wtq"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | danwakeem/dev_mode-wtq | [
"region:us"
] | 2023-02-24T22:14:50+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "table", "struct": [{"name": "header", "sequence": "string"}, {"name": "rows", "sequence": {"sequence": "string"}}]}, {"name": "aggregation_label", "dtype": "str... | 2023-02-24T22:14:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dev_mode-wtq"
More Information needed | [
"# Dataset Card for \"dev_mode-wtq\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"dev_mode-wtq\"\n\nMore Information needed"
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4d73f08344589f55c3d547476370fd2015020010 | # Dataset Card for "patched_test_p_150_f_membrane_m1_predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_test_p_150_f_membrane_m1_predictions | [
"region:us"
] | 2023-02-24T22:31:01+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "m1_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 1561849554, "num_examples": 2394171}], "download_size": 136945465, "dataset_size": 1561... | 2023-02-24T22:31:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_test_p_150_f_membrane_m1_predictions"
More Information needed | [
"# Dataset Card for \"patched_test_p_150_f_membrane_m1_predictions\"\n\nMore Information needed"
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f80887743f290365b2a21e428cc6b6d07edcaf62 | # Dataset Card for "method2test_10k_tokonized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Minata/method2test_10k_tokonized | [
"region:us"
] | 2023-02-24T22:34:11+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 502280468, "num_examples": 75335}, {"name": "train", "num_bytes": 66680000, "num_examples": 10000}], "download_siz... | 2023-02-24T23:07:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "method2test_10k_tokonized"
More Information needed | [
"# Dataset Card for \"method2test_10k_tokonized\"\n\nMore Information needed"
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6722554083b14f942d01d0d20c47d2685af892b6 | # Dataset Card for "method2test_10k_tokonizedv2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Minata/method2test_10k_tokonizedv2 | [
"region:us"
] | 2023-02-24T23:10:18+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 66680000, "num_examples": 10000}], "download_size": 4572262, "dataset_size": 66680000}} | 2023-02-24T23:10:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "method2test_10k_tokonizedv2"
More Information needed | [
"# Dataset Card for \"method2test_10k_tokonizedv2\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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f66a447c8bcc75cc0d393ba629cd8b70444ee774 | # Dataset Card for "Zhihu-KOL"
Zhihu data for training Open Assitant
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | wangrui6/Zhihu-KOL | [
"task_categories:question-answering",
"language:zh",
"region:us"
] | 2023-02-25T00:21:29+00:00 | {"language": ["zh"], "task_categories": ["question-answering"], "dataset_info": {"features": [{"name": "INSTRUCTION", "dtype": "string"}, {"name": "RESPONSE", "dtype": "string"}, {"name": "SOURCE", "dtype": "string"}, {"name": "METADATA", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2295601241, "num_e... | 2023-04-23T12:26:03+00:00 | [] | [
"zh"
] | TAGS
#task_categories-question-answering #language-Chinese #region-us
| # Dataset Card for "Zhihu-KOL"
Zhihu data for training Open Assitant
More Information needed | [
"# Dataset Card for \"Zhihu-KOL\"\n\nZhihu data for training Open Assitant\n\nMore Information needed"
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] |
51d076e073f1c1a65ee7a16fa1886486aad9fd8f | # pCLUE
pCLUE: Large-scale Prompt-based Dataset for Multi-task and Zero-shot Learning in Chinese
pCLUE：基于提示的大规模预训练数据集，用于多任务学习和零样本学习
### 已转化数据集
数据量： 120万训练数据，73个Prompt
1. 训练集 train.json: 1,200,705
2. 验证集 dev.json: 100,000
3. 公开测试集 test_public.json: 129,556
4. 测试集 test.json: 250,461
具体... | wbbbbb/pclue | [
"task_categories:text-generation",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2023-02-25T02:39:00+00:00 | {"language": ["zh"], "license": "apache-2.0", "task_categories": ["text-generation"]} | 2023-02-25T08:20:02+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-generation #language-Chinese #license-apache-2.0 #region-us
| # pCLUE
pCLUE: Large-scale Prompt-based Dataset for Multi-task and Zero-shot Learning in Chinese
pCLUE：基于提示的大规模预训练数据集，用于多任务学习和零样本学习
### 已转化数据集
数据量： 120万训练数据，73个Prompt
1. 训练集 URL: 1,200,705
2. 验证集 URL: 100,000
3. 公开测试集 test_public.json: 129,556
4. 测试集 URL: 250,461
具体数据，见：./datasets
#... | [
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039f4147d0c4dffbdcee5e91976aefda2048857c | # Dataset Card for "fanfiction_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roborovski/fanfiction_dataset | [
"region:us"
] | 2023-02-25T02:50:39+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 26068982, "num_examples": 180704}, {"name": "test", "num_bytes": 6302044, "num_examples": 43636}], "download_size": 19782089, "dataset_size": 32371026}} | 2023-02-25T02:50:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fanfiction_dataset"
More Information needed | [
"# Dataset Card for \"fanfiction_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"fanfiction_dataset\"\n\nMore Information needed"
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142f48624088ac150dd80345decb21a82a6c21ee | # Dataset Card for "wiki_book_corpus_complete_raw_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gokuls/wiki_book_corpus_complete_raw_dataset | [
"region:us"
] | 2023-02-25T03:51:56+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24500165181, "num_examples": 80462898}], "download_size": 14400389437, "dataset_size": 24500165181}} | 2023-02-25T03:58:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wiki_book_corpus_complete_raw_dataset"
More Information needed | [
"# Dataset Card for \"wiki_book_corpus_complete_raw_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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feceaecbf45a14e9065ab25c8e6fea89e52ae18d | # Dataset Card for "SNLI_French"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dhananjay1210/SNLI_French | [
"region:us"
] | 2023-02-25T05:15:15+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 11099017, "num_examples": 100000}, {"name": "validation", "num_bytes": 1102463, "num_examples": 9842}, {"name": "test", "num_b... | 2023-02-25T05:15:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SNLI_French"
More Information needed | [
"# Dataset Card for \"SNLI_French\"\n\nMore Information needed"
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8829d83be6ebd8ef390871d4c0d9adc55557083c | # Dataset Card for "fnli-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | parsa-mz/fnli-dataset | [
"region:us"
] | 2023-02-25T05:53:58+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 1092127, "num_examples": 9824}, {"name": "dev", "num_bytes": 1097461, "num_examples": 9842}, {"name": "train", "num_bytes": 607... | 2023-02-25T05:59:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fnli-dataset"
More Information needed | [
"# Dataset Card for \"fnli-dataset\"\n\nMore Information needed"
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"# Dataset Card for \"fnli-dataset\"\n\nMore Information needed"
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5fa0555e051b4f5e3ef48a0e7c6af77669664b75 | # Dataset Card for "SROIE_image"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ssunbell/SROIE_image | [
"region:us"
] | 2023-02-25T06:29:27+00:00 | {"dataset_info": {"features": [{"name": "file_name", "dtype": "string"}, {"name": "image", "sequence": {"sequence": {"sequence": "uint8"}}}], "splits": [{"name": "image", "num_bytes": 149110305, "num_examples": 973}], "download_size": 64353573, "dataset_size": 149110305}} | 2023-02-25T06:29:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SROIE_image"
More Information needed | [
"# Dataset Card for \"SROIE_image\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"SROIE_image\"\n\nMore Information needed"
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8d70336d606cc4d2567ca2f49c54c749a5b41017 |
# Dataset Card for UTS_Dictionary
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | undertheseanlp/UTS_Dictionary | [
"task_categories:text-generation",
"annotations_creators:no-annotation",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:vi",
"license:apache-2.0",
"region:us"
] | 2023-02-25T06:32:48+00:00 | {"annotations_creators": ["no-annotation"], "language": ["vi"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "pretty_name": "UTS_Text"} | 2023-07-26T12:59:21+00:00 | [] | [
"vi"
] | TAGS
#task_categories-text-generation #annotations_creators-no-annotation #multilinguality-monolingual #size_categories-10K<n<100K #language-Vietnamese #license-apache-2.0 #region-us
| Dataset Card for UTS\_Dictionary
================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Ratio... | [
"### Dataset Summary",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nDataset Structure\n-----------------",
"### Data Instances",
"### Data Fields",
"### Data Splits\n\n\n\nDataset Creation\n----------------",
"### Curation Rationale",
"### Source Data",
"### Annotations\n\n\nAdditiona... | [
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afe96c6ab9dfac906e06fe49ffcfb1c1f7b89722 | # AutoTrain Dataset for project: pick_a_card
## Dataset Description
This dataset has been automatically processed by AutoTrain for project pick_a_card.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
... | rwcuffney/autotrain-data-pick_a_card | [
"task_categories:image-classification",
"region:us"
] | 2023-02-25T06:37:35+00:00 | {"task_categories": ["image-classification"]} | 2023-02-27T20:30:50+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: pick\_a\_card
============================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project pick\_a\_card.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------... | [
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"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
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51cd488df39a5d8db011301580446195331bb773 | # Dataset Card for "ISSAI_KSC_335RS_v_1_1"
Kazakh Speech Corpus (KSC)
Identifier: SLR102
Summary: A crowdsourced open-source Kazakh speech corpus developed by ISSAI (330 hours)
Category: Speech
License: Attribution 4.0 International (CC BY 4.0)
Downloads (use a mirror closer to you):
ISSAI_KSC_335RS_v1.1_flac.tar.... | Shirali/ISSAI_KSC_335RS_v_1_1 | [
"task_categories:automatic-speech-recognition",
"language:kk",
"region:us"
] | 2023-02-25T06:43:34+00:00 | {"language": ["kk"], "task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "uttID", "dtype": "string"}, {"name": "deviceID", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "audio", "dtype": "audio"}], "splits": [{"name": "dev", "num_bytes": 391608860.227, "num_exa... | 2023-03-07T03:18:44+00:00 | [] | [
"kk"
] | TAGS
#task_categories-automatic-speech-recognition #language-Kazakh #region-us
| # Dataset Card for "ISSAI_KSC_335RS_v_1_1"
Kazakh Speech Corpus (KSC)
Identifier: SLR102
Summary: A crowdsourced open-source Kazakh speech corpus developed by ISSAI (330 hours)
Category: Speech
License: Attribution 4.0 International (CC BY 4.0)
Downloads (use a mirror closer to you):
ISSAI_KSC_335RS_v1.1_flac.URL ... | [
"# Dataset Card for \"ISSAI_KSC_335RS_v_1_1\"\n\nKazakh Speech Corpus (KSC)\nIdentifier: SLR102\n\nSummary: A crowdsourced open-source Kazakh speech corpus developed by ISSAI (330 hours)\n\nCategory: Speech\n\nLicense: Attribution 4.0 International (CC BY 4.0)\n\nDownloads (use a mirror closer to you):\nISSAI_KSC_3... | [
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79501d98eff3649315622efb7849a9e3c4da767a | # Dataset Card for "als_classification_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LightFury9/als_classification_data | [
"region:us"
] | 2023-02-25T06:50:09+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "text_label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3570, "num_examples": 54}], "download_size": 2351, "dataset_size": 3570}} | 2023-02-25T06:50:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "als_classification_data"
More Information needed | [
"# Dataset Card for \"als_classification_data\"\n\nMore Information needed"
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"# Dataset Card for \"als_classification_data\"\n\nMore Information needed"
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c3266a5956ee5e202426e349fe71e346deaee24d | # Dataset Card for "SROIE_baseline"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ssunbell/SROIE_baseline | [
"region:us"
] | 2023-02-25T07:06:12+00:00 | {"dataset_info": {"features": [{"name": "guid", "dtype": "string"}, {"name": "words", "dtype": "string"}, {"name": "labels", "sequence": "int64"}, {"name": "boxes", "sequence": {"sequence": "int64"}}, {"name": "actual_bboxes", "sequence": {"sequence": "int64"}}, {"name": "file_name", "dtype": "string"}, {"name": "page_... | 2023-02-25T07:06:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SROIE_baseline"
More Information needed | [
"# Dataset Card for \"SROIE_baseline\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"SROIE_baseline\"\n\nMore Information needed"
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bf7d7a9c3feccac8e934b78a5543c58322d23b7c | # Dataset Card for "wiki_book_corpus_complete_processed_bert_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gokuls/wiki_book_corpus_complete_processed_bert_dataset | [
"region:us"
] | 2023-02-25T07:22:50+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "special_tokens_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 22201610400.0, "num_examples": 6167114}], "download_s... | 2023-02-25T19:22:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wiki_book_corpus_complete_processed_bert_dataset"
More Information needed | [
"# Dataset Card for \"wiki_book_corpus_complete_processed_bert_dataset\"\n\nMore Information needed"
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21c5b6f46b76af9f386a67362c67c5f41de98666 | # ABC Open Archives
Created from The ABC Open Archives.
Image file can either be downloaded with your own script using the url column, or use the image data saved directly into the image column.
<https://www.flickr.com/people/abcarchives/>
Parquet file created here: <https://github.com/mediocreatmybest/gaslightinge... | Mediocreatmybest/ABC_Open_Archive | [
"language:en",
"license:cc0-1.0",
"region:us"
] | 2023-02-25T08:13:16+00:00 | {"language": ["en"], "license": "cc0-1.0"} | 2023-02-25T11:00:27+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc0-1.0 #region-us
| # ABC Open Archives
Created from The ABC Open Archives.
Image file can either be downloaded with your own script using the url column, or use the image data saved directly into the image column.
<URL
Parquet file created here: <URL
File can also be extracted from here: <URL
The available meta data from the text c... | [
"# ABC Open Archives\n\nCreated from The ABC Open Archives.\n\nImage file can either be downloaded with your own script using the url column, or use the image data saved directly into the image column.\n\n<URL\n\nParquet file created here: <URL\n\nFile can also be extracted from here: <URL\n\nThe available meta dat... | [
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d425a20a41c3a19575a47feecd43bd0eb978be48 | # Dataset Card for "actlearn_labeled_samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dog/actlearn_labeled_samples | [
"region:us"
] | 2023-02-25T08:52:21+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9"}}}}], "splits": [{"name": "train", "num_bytes": 1696094.375, "num_examples": 6005}], "download_size... | 2023-02-25T09:12:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "actlearn_labeled_samples"
More Information needed | [
"# Dataset Card for \"actlearn_labeled_samples\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"actlearn_labeled_samples\"\n\nMore Information needed"
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410730000610092922b7b165b94a96a9ca76768d | # Dataset Card for "actlearn_unlabeled_samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dog/actlearn_unlabeled_samples | [
"region:us"
] | 2023-02-25T08:52:22+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 15047431.461246412, "num_examples": 53990}], "download_size": 12834484, "dataset_size": 15047431.461246412}} | 2023-02-25T09:15:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "actlearn_unlabeled_samples"
More Information needed | [
"# Dataset Card for \"actlearn_unlabeled_samples\"\n\nMore Information needed"
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1df280706d351d73a50fecd9a745be2940710017 | # Dataset Card for "actlearn_test_mnist"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dog/actlearn_test_mnist | [
"region:us"
] | 2023-02-25T08:52:25+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9"}}}}], "splits": [{"name": "test", "num_bytes": 2875182.0, "num_examples": 10000}], "download_size":... | 2023-02-25T08:55:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "actlearn_test_mnist"
More Information needed | [
"# Dataset Card for \"actlearn_test_mnist\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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e494746ec193a4147d830bd05d5cde759540e0b4 | # Dataset Card for "actlearn_to_label_samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dog/actlearn_to_label_samples | [
"region:us"
] | 2023-02-25T09:12:03+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1393.5387535882953, "num_examples": 5}], "download_size": 3840, "dataset_size": 1393.5387535882953}} | 2023-02-25T09:15:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "actlearn_to_label_samples"
More Information needed | [
"# Dataset Card for \"actlearn_to_label_samples\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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788810eb003cf5dd9a52ced292dd988c97c20870 | # Dataset Card for "boudoir-dataset"
### Dataset Summary
Images scrapped from selected Galleries on Behance. | soymia/boudoir-dataset | [
"task_categories:text-to-image",
"size_categories:1K<n<10K",
"license:apache-2.0",
"region:us"
] | 2023-02-25T09:36:56+00:00 | {"license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-to-image"], "pretty_name": "Boudoir Dataset", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 96479861.365, "num_examples": 1055}], "dow... | 2023-03-01T10:39:34+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-1K<n<10K #license-apache-2.0 #region-us
| # Dataset Card for "boudoir-dataset"
### Dataset Summary
Images scrapped from selected Galleries on Behance. | [
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] |
9bb788d7c946955dd27a20c817b51a9c4e81f0dc | # Dataset Card for "SROIE_sequence"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ssunbell/SROIE_sequence | [
"region:us"
] | 2023-02-25T10:01:08+00:00 | {"dataset_info": {"features": [{"name": "guid", "sequence": "string"}, {"name": "words", "sequence": "string"}, {"name": "labels", "sequence": "int64"}, {"name": "boxes", "sequence": {"sequence": "int64"}}, {"name": "actual_bboxes", "sequence": {"sequence": "int64"}}, {"name": "page_size", "sequence": {"sequence": "int... | 2023-02-25T10:01:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SROIE_sequence"
More Information needed | [
"# Dataset Card for \"SROIE_sequence\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"SROIE_sequence\"\n\nMore Information needed"
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19917f1b6388303748983c69b58946054fc9b583 | # Dataset Card for "AutoGenArabicDataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/AutoGenArabicDataset | [
"region:us"
] | 2023-02-25T11:48:42+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1408506.0, "num_examples": 379}], "download_size": 790726, "dataset_size": 1408506.0}} | 2023-02-25T11:48:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "AutoGenArabicDataset"
More Information needed | [
"# Dataset Card for \"AutoGenArabicDataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"AutoGenArabicDataset\"\n\nMore Information needed"
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8d5cc40e525aab39b9ffeb9bc633a0e70cd2fd1b | # Dataset Card for "twitter_he_ru"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | carexl8/twitter_he_ru | [
"region:us"
] | 2023-02-25T11:55:49+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "created_at", "dtype": "timestamp[ns, tz=UTC]"}, {"name": "tokens", "sequence": "string"}, {"name": "language tags", "sequence": "int64"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": ... | 2023-05-09T13:25:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "twitter_he_ru"
More Information needed | [
"# Dataset Card for \"twitter_he_ru\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"twitter_he_ru\"\n\nMore Information needed"
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97ec858c7886876298e010f6b2f0f7c99f6e0cd0 | # Dataset Card for "telegram_he_ru"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | carexl8/telegram_he_ru | [
"region:us"
] | 2023-02-25T11:55:59+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "time", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "language tags", "sequence": "int64"}, {"name": "__index_level_0__", "dtype": "int64"}], "sp... | 2023-04-07T10:23:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "telegram_he_ru"
More Information needed | [
"# Dataset Card for \"telegram_he_ru\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"telegram_he_ru\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"telegram_he_ru\"\n\nMore Information needed"
] |
dda4ade0901a089894b4b390c7915ee139c80fc6 |
Original source: https://github.com/openai/generating-reviews-discovering-sentiment
This dataset is different from the dataset distributed by GLUE, which means the metric **shouldn't be compared with the SST2 performance in GLUE**.
The description of SST2 dataset in the paper is the following.
> The Stanford Sentim... | sh0416/sst2-openai | [
"task_categories:text-classification",
"region:us"
] | 2023-02-25T12:16:45+00:00 | {"task_categories": ["text-classification"]} | 2023-02-25T12:53:53+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
|
Original source: URL
This dataset is different from the dataset distributed by GLUE, which means the metric shouldn't be compared with the SST2 performance in GLUE.
The description of SST2 dataset in the paper is the following.
> The Stanford Sentiment Treebank (SST)(Socher et al., 2013) was created specifically... | [] | [
"TAGS\n#task_categories-text-classification #region-us \n"
] | [
17
] | [
"passage: TAGS\n#task_categories-text-classification #region-us \n"
] |
163810222f679dbe3752fb3c9ee8ffb7b55e2620 | # Dataset Card for "SemEvalTask10_train_all_tasks"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Wiebke/SemEvalTask10_train_all_tasks | [
"region:us"
] | 2023-02-25T12:59:10+00:00 | {"dataset_info": {"features": [{"name": "rewire_id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "not sexist", "1": "sexist"}}}}, {"name": "label_category", "dtype": "string"}, {"name": "label_vector", "dtype": "string"}], "splits": [{"name": "trai... | 2023-02-25T12:59:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SemEvalTask10_train_all_tasks"
More Information needed | [
"# Dataset Card for \"SemEvalTask10_train_all_tasks\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"SemEvalTask10_train_all_tasks\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"SemEvalTask10_train_all_tasks\"\n\nMore Information needed"
] |
125bfc47f44f72ed72f9c99215a229614cc71e15 | # Dataset Card for "squad_v2_factuality_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kenhktsui/squad_v2_factuality_v2 | [
"region:us"
] | 2023-02-25T13:10:29+00:00 | {"dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "entity_modified", "dtype": "string"}, {"name": "new_entity", "dtype": "string"}, {"name": "ner_type", "dtype": "string"}, {"name": "top_k", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes":... | 2023-02-25T13:26:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "squad_v2_factuality_v2"
More Information needed | [
"# Dataset Card for \"squad_v2_factuality_v2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"squad_v2_factuality_v2\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"squad_v2_factuality_v2\"\n\nMore Information needed"
] |
913ff7514cef278206ac9399269a25927aaedb19 | --import os
import openai
import gradio as gr
# if you have OpenAI API key as an environment variable, enable the below
# openai.api_key = os.getenv("OPENAI_API_KEY")
# if you have OpenAI API key as a string, enable the below
openai.api_key = "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"
start_sequence = "\... | venu12345/venu2004 | [
"region:us"
] | 2023-02-25T13:22:04+00:00 | {} | 2023-02-25T13:23:14+00:00 | [] | [] | TAGS
#region-us
| --import os
import openai
import gradio as gr
# if you have OpenAI API key as an environment variable, enable the below
# openai.api_key = URL("OPENAI_API_KEY")
# if you have OpenAI API key as a string, enable the below
openai.api_key = "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"
start_sequence = "\nVenu:... | [
"# if you have OpenAI API key as an environment variable, enable the below",
"# openai.api_key = URL(\"OPENAI_API_KEY\")",
"# if you have OpenAI API key as a string, enable the below\nopenai.api_key = \"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\"\n\nstart_sequence = \"\\nVenu:\"\nrestart_sequence = \"... | [
"TAGS\n#region-us \n",
"# if you have OpenAI API key as an environment variable, enable the below",
"# openai.api_key = URL(\"OPENAI_API_KEY\")",
"# if you have OpenAI API key as a string, enable the below\nopenai.api_key = \"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\"\n\nstart_sequence = \"\\nVenu:... | [
6,
17,
18,
439
] | [
"passage: TAGS\n#region-us \n# if you have OpenAI API key as an environment variable, enable the below# openai.api_key = URL(\"OPENAI_API_KEY\")# if you have OpenAI API key as a string, enable the below\nopenai.api_key = \"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\"\n\nstart_sequence = \"\\nVenu:\"\nresta... |
b147b339d24f188c7505d907e58281f74074cebc | # Dataset Card for "hp_fanfiction_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roborovski/hp_fanfiction_dataset | [
"region:us"
] | 2023-02-25T14:11:06+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 133284308, "num_examples": 814751}, {"name": "test", "num_bytes": 42481739, "num_examples": 252440}], "download_size": 0, "dataset_size": 175766047}} | 2023-02-25T16:23:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hp_fanfiction_dataset"
More Information needed | [
"# Dataset Card for \"hp_fanfiction_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hp_fanfiction_dataset\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"hp_fanfiction_dataset\"\n\nMore Information needed"
] |
0b22e3bcc9ee71addbb09bba2f3039fae9c96181 | # Dataset Card for "geo_small_corpus"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ZurabDz/geo_small_corpus | [
"region:us"
] | 2023-02-25T15:10:13+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4269202075, "num_examples": 7375931}], "download_size": 1563181810, "dataset_size": 4269202075}} | 2023-02-25T15:21:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "geo_small_corpus"
More Information needed | [
"# Dataset Card for \"geo_small_corpus\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"geo_small_corpus\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"geo_small_corpus\"\n\nMore Information needed"
] |
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