sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1d9d063c245eb3543eeb462d07f236ae1d6e0c12 | # Dataset Card for "Hatefulmemes_test_google_flan_t5_xl_mode_T_A_D_PNP_FILTER_C_OCR_rices_ns_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CVasNLPExperiments/Hatefulmemes_test_google_flan_t5_xl_mode_T_A_D_PNP_FILTER_C_OCR_rices_ns_1000 | [
"region:us"
] | 2023-05-13T04:33:54+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompt", "sequence": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0_clip_tags_ViT_L_14_with_openai_Attributes_ViT_L_14_descriptors_text_davinci_003_full_DETA_detec... | 2023-05-13T04:43:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Hatefulmemes_test_google_flan_t5_xl_mode_T_A_D_PNP_FILTER_C_OCR_rices_ns_1000"
More Information needed | [
"# Dataset Card for \"Hatefulmemes_test_google_flan_t5_xl_mode_T_A_D_PNP_FILTER_C_OCR_rices_ns_1000\"\n\nMore Information needed"
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] |
f10d3e4fbe6b76f3b0d9a3c193fd133b4ba5708a | In dieser Datenbank werden alle AWMF Leitlinien hinterlegt, die die Deutsche Gesellschaft für Orthopädie und Unfallchirurgie (DGOU) erstellt hat. | Nille1991/Leitliniendatenbank | [
"size_categories:n<1K",
"language:de",
"license:bigscience-openrail-m",
"region:us"
] | 2023-05-13T05:22:34+00:00 | {"language": ["de"], "license": "bigscience-openrail-m", "size_categories": ["n<1K"]} | 2023-05-13T08:54:45+00:00 | [] | [
"de"
] | TAGS
#size_categories-n<1K #language-German #license-bigscience-openrail-m #region-us
| In dieser Datenbank werden alle AWMF Leitlinien hinterlegt, die die Deutsche Gesellschaft für Orthopädie und Unfallchirurgie (DGOU) erstellt hat. | [] | [
"TAGS\n#size_categories-n<1K #language-German #license-bigscience-openrail-m #region-us \n"
] | [
31
] | [
"passage: TAGS\n#size_categories-n<1K #language-German #license-bigscience-openrail-m #region-us \n"
] |
3b230ce6b0821ac265b77e50d776a039ec617060 | # Dataset Card for "wikipedia_en_tokenized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andersonbcdefg/wikipedia_en_tokenized | [
"region:us"
] | 2023-05-13T05:24:14+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "targets", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 56050416752, "num_examples": 9110926}], "download_size": 19330142269, "dataset_size": 56050416752}} | 2023-05-13T05:45:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia_en_tokenized"
More Information needed | [
"# Dataset Card for \"wikipedia_en_tokenized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"wikipedia_en_tokenized\"\n\nMore Information needed"
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30a49ad01f7b6492ceaafcb07e4d5e87c637e911 | # Dataset Card for "Downsampled_imbd_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Arthuerwang/Downsampled_imbd_dataset | [
"region:us"
] | 2023-05-13T05:44:54+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 16760000.0, "num_examples": 10000}, {"name": "test", "num_bytes": 1676000.0, "num_examples": 1000}], "download_si... | 2023-05-13T06:22:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Downsampled_imbd_dataset"
More Information needed | [
"# Dataset Card for \"Downsampled_imbd_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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902fd667a2e2532736eb7fb9adae60e74e4fdd79 | # Dataset Card for "wikipedia_en_tokenized_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andersonbcdefg/wikipedia_en_tokenized_1 | [
"region:us"
] | 2023-05-13T06:16:38+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "targets", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 30760000000, "num_examples": 5000000}], "download_size": 10631130515, "dataset_size": 30760000000}} | 2023-05-13T06:27:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia_en_tokenized_1"
More Information needed | [
"# Dataset Card for \"wikipedia_en_tokenized_1\"\n\nMore Information needed"
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da64e75aae6d50da339b6d783d6d00b1c1d334ff | # Dataset Card for "wikipedia_en_tokenized_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andersonbcdefg/wikipedia_en_tokenized_2 | [
"region:us"
] | 2023-05-13T06:28:10+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "targets", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 25290416752, "num_examples": 4110926}], "download_size": 8697978435, "dataset_size": 25290416752}} | 2023-05-13T06:37:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia_en_tokenized_2"
More Information needed | [
"# Dataset Card for \"wikipedia_en_tokenized_2\"\n\nMore Information needed"
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5b20630fc5fe08d8bd829e7f66c8a217becc8e72 | This is a interleaved wiki dataset.
Processed from wiki articles dump files:
ja: jawiki-20230301-pages-articles-multistream1.xml-p1p114794
With following format in parquet file
columns: 'xml', 'markdown', 'html', 'pairs'
example:
- 'xml':
- [[ 新潮社\u3000Foresight(フォーサイト)}}</ref>。\ ... [[シテ島]]のこと)とも呼ばれてい... | lfsm/wiki_interleave | [
"region:us"
] | 2023-05-13T06:38:19+00:00 | {} | 2023-05-13T06:58:23+00:00 | [] | [] | TAGS
#region-us
| This is a interleaved wiki dataset.
Processed from wiki articles dump files:
ja: URL-p1p114794
With following format in parquet file
columns: 'xml', 'markdown', 'html', 'pairs'
example:
- 'xml':
- [[ 新潮社\u3000Foresight(フォーサイト)}}</ref>。\ ... [[シテ島]]のこと)とも呼ばれていた。\n\n== 地理 ==\n{{clear}}\n'],
- [ ###img#... | [
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] |
4d5f2541018055c9b87b7be016804cba79a27e79 | # Dataset Card for "HaeRae_Bench"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | amphora/haerae_bench | [
"region:us"
] | 2023-05-13T06:52:21+00:00 | {"configs": [{"config_name": "General Knowledge", "data_files": [{"split": "test", "path": "data/HAERAE-Bench-v1-KGK.csv"}]}, {"config_name": "History", "data_files": [{"split": "test", "path": "data/HAERAE-Bench-v1-HI.csv"}]}, {"config_name": "Loan Words", "data_files": [{"split": "test", "path": "data/HAERAE-Bench-v1... | 2023-12-20T08:36:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "HaeRae_Bench"
More Information needed | [
"# Dataset Card for \"HaeRae_Bench\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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52ea05e173105514a01eed7cd8677293da200552 |
It is a simple dataset of 64 screenshots from https://fancaps.net/
example:  | airest/kyoshi | [
"license:openrail",
"art",
"region:us"
] | 2023-05-13T06:54:37+00:00 | {"license": "openrail", "tags": ["art"]} | 2023-05-13T07:33:50+00:00 | [] | [] | TAGS
#license-openrail #art #region-us
|
It is a simple dataset of 64 screenshots from URL
example: 
- **Paper:** [Multilingual and Cross-Lingual Intent Detection from Spoken Data](https://arxiv.org/abs/2104.08524)
- **Total amount of... | a6kme/minds14-mirror | [
"task_categories:automatic-speech-recognition",
"task_ids:keyword-spotting",
"annotations_creators:expert-generated",
"annotations_creators:crowdsourced",
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"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:multilingual",
... | 2023-05-13T06:56:01+00:00 | {"annotations_creators": ["expert-generated", "crowdsourced", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en", "fr", "it", "es", "pt", "de", "nl", "ru", "pl", "cs", "ko", "zh"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<1... | 2023-05-13T10:42:15+00:00 | [
"2104.08524"
] | [
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"fr",
"it",
"es",
"pt",
"de",
"nl",
"ru",
"pl",
"cs",
"ko",
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] | TAGS
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# MInDS-14
## Dataset Description
- Fine-Tuning script: pytorch/audio-classification
- Paper: Multilingual and Cross-Lingual Intent Detection from Spoken Data
- Total amount of disk used: ca. 500 MB
MINDS-14 is training and evaluation resource for intent detection task with spoken data. It covers 14
intents extra... | [
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1c549b1402981ce3574be52e513f7ef9e85b7fd8 | language:
en
en
license: cc-by-nc-sa-4.0
license_details: For non-commercial use. Refer to the license for more details.
tags:
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annotations_creators:
expert-generated
language_creators:
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language_details:
... | tycru/autotrain-data-capture-the-flag | [
"region:us"
] | 2023-05-13T07:15:18+00:00 | {} | 2023-06-13T23:24:54+00:00 | [] | [] | TAGS
#region-us
| language:
en
en
license: cc-by-nc-sa-4.0
license_details: For non-commercial use. Refer to the license for more details.
tags:
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symbolism
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annotations_creators:
expert-generated
language_creators:
expert-generated
language_details:
... | [] | [
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92cf93a686b85858ecec4f6f02a64cdf66e7085f | # Dataset Card for "code-search-net-go"
## Dataset Description
- **Homepage:** None
- **Repository:** https://huggingface.co/datasets/Nan-Do/code-search-net-go
- **Paper:** None
- **Leaderboard:** None
- **Point of Contact:** [@Nan-Do](https://github.com/Nan-Do)
### Dataset Summary
This dataset is the Go portion o... | Nan-Do/code-search-net-go | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"task_categories:summarization",
"language:en",
"license:apache-2.0",
"code",
"go",
"CodeSearchNet",
"summary",
"region:us"
] | 2023-05-13T07:55:08+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation", "text2text-generation", "summarization"], "pretty_name": "Go CodeSearchNet with Summaries", "dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "func_name", "dtype": "string"... | 2023-05-14T23:56:15+00:00 | [] | [
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] | TAGS
#task_categories-text-generation #task_categories-text2text-generation #task_categories-summarization #language-English #license-apache-2.0 #code #go #CodeSearchNet #summary #region-us
| # Dataset Card for "code-search-net-go"
## Dataset Description
- Homepage: None
- Repository: URL
- Paper: None
- Leaderboard: None
- Point of Contact: @Nan-Do
### Dataset Summary
This dataset is the Go portion of the CodeSarchNet annotated with a summary column.
The code-search-net dataset includes open source ... | [
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c389bff8fd96eb6b6701a55b079c052e15066c2b | # Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | d4niel92/celeb-identities | [
"region:us"
] | 2023-05-13T08:41:05+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Andres_Iniesta", "1": "Heung-min_Son", "2": "Lionel_Messi", "3": "Mikaela_Shiffrin", "4": "Rafael_Nadal", "5": "Usain_Bolt"}}}}], "splits": [{"name": "train", "num_bytes": 3222797.0, "num_exam... | 2023-05-13T08:46:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities"
More Information needed | [
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
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7f414457570fb261449b3b9d456a2ec4cf0f6117 | # Dataset Card for "DR_Grading_413_103"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sngsfydy/DR_Grading_413_103 | [
"region:us"
] | 2023-05-13T10:36:10+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"}}}}], "splits": [{"name": "train", "num_bytes": 261501746.0, "num_examples": 413}, {"name": "test", "num_bytes": 64805638.0, "num_examples": 103}], "... | 2023-05-13T10:38:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DR_Grading_413_103"
More Information needed | [
"# Dataset Card for \"DR_Grading_413_103\"\n\nMore Information needed"
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cc6c186b8929c0578a92b8fad87ffe2dd62de995 | # Dataset Card for "Disease_Grading_for_DR_and_Mucula"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sngsfydy/Disease_Grading_for_DR_and_Mucula | [
"region:us"
] | 2023-05-13T10:41:13+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"}}}}], "splits": [{"name": "train", "num_bytes": 261501746.0, "num_examples": 413}, {"name": "test", "num_bytes": 64805638.0, "num_examples": 103}], "... | 2023-05-13T10:41:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Disease_Grading_for_DR_and_Mucula"
More Information needed | [
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5a056f6c57a018b232de870936f7f0385741b768 | Real-world smartmeter dataset, 220V, 50Hz (EU) | scalytics/smartmeterdata | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-05-13T10:56:48+00:00 | {"license": "cc-by-nc-4.0"} | 2023-05-13T12:02:54+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
| Real-world smartmeter dataset, 220V, 50Hz (EU) | [] | [
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"passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n"
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3b68a980ebbfbec6a6ac4cd92c5e2d8b65b4dadc | # Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ashish08/celeb-identities | [
"region:us"
] | 2023-05-13T11:23:44+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "David_Schwimmer", "1": "Megan_Fox", "2": "Mila_Kunis", "3": "Ryan_Reynolds", "4": "Scarlett_Johansson", "5": "Wayne_Rooney"}}}}], "splits": [{"name": "train", "num_bytes": 914546.0, "num_examp... | 2023-05-13T12:40:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities"
More Information needed | [
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
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6,
15
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"passage: TAGS\n#region-us \n# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
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a1e4cd3e5f697cca2d2aa9b2507b939e9ebf2b2a | # KiriTrash Dataset
## Summary
KiriTrash is a collection of trash images taken on the shorelines of Tarawa Atoll, Kiribati.
This is a dataset I used for my own research.
## Dataset Description
+ Dataset format: COCO Format
+ Number of images: 650 training, 90 validation, 5 Test
+ Preprocessings: Auto-Oriented, Resize... | tbensap18/KiriBeach | [
"task_categories:object-detection",
"license:openrail",
"region:us"
] | 2023-05-13T12:28:24+00:00 | {"license": "openrail", "task_categories": ["object-detection"]} | 2023-05-13T12:52:52+00:00 | [] | [] | TAGS
#task_categories-object-detection #license-openrail #region-us
| # KiriTrash Dataset
## Summary
KiriTrash is a collection of trash images taken on the shorelines of Tarawa Atoll, Kiribati.
This is a dataset I used for my own research.
## Dataset Description
+ Dataset format: COCO Format
+ Number of images: 650 training, 90 validation, 5 Test
+ Preprocessings: Auto-Oriented, Resize... | [
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"## Summary\nKiriTrash is a collection of trash images taken on the shorelines of Tarawa Atoll, Kiribati.\nThis is a dataset I used for my own research.",
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a55d52be00be7227b82c111c41c5e623eed78dbf | # Dataset Card for "wikiart_testing"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nouman-10/wikiart_testing | [
"region:us"
] | 2023-05-13T13:03:12+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "embeddings_pca512", "sequence": "float32"}, {"name": "resnet50_non_robust_feats", ... | 2023-05-13T13:03:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikiart_testing"
More Information needed | [
"# Dataset Card for \"wikiart_testing\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"wikiart_testing\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"wikiart_testing\"\n\nMore Information needed"
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73a922ccc6a204e03307147dfa606ae3391f916e | # Dataset Card for "stamp-verification-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bilal01/stamp-verification-test | [
"region:us"
] | 2023-05-13T13:48:14+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 99500873.0, "num_examples": 5}], "download_size": 0, "dataset_size": 99500873.0}} | 2023-05-14T05:47:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "stamp-verification-test"
More Information needed | [
"# Dataset Card for \"stamp-verification-test\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"stamp-verification-test\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"stamp-verification-test\"\n\nMore Information needed"
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bf39c5f8a56b8bda43d883e73224ad74a7a9be30 |
# Dataset Card for GSM QnA reasoning with ~8.8K entries.
### Dataset Summary
Contains Parquet of a list of instructions and answers.
Each row consists of
* INSTRUCTION
* RESPONSE
* SOURCE
* METADATA (json with language).
### Original Datasets are available here:
* https://huggingface.co/datasets/gsm8k
* https://... | 0x22almostEvil/reasoning-gsm-qna-oa | [
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"QnA",
"math",
"programming",
"region:us"
] | 2023-05-13T14:09:16+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"], "tags": ["QnA", "math", "programming"]} | 2023-05-13T14:43:31+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-English #license-mit #QnA #math #programming #region-us
|
# Dataset Card for GSM QnA reasoning with ~8.8K entries.
### Dataset Summary
Contains Parquet of a list of instructions and answers.
Each row consists of
* INSTRUCTION
* RESPONSE
* SOURCE
* METADATA (json with language).
### Original Datasets are available here:
* URL
* URL | [
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4156fb62fcea66a79233d17c89c825a4a129d6f9 | # Dataset Card for "cd45rb_leukocytes_masks"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | polejowska/cd45rb_leukocytes_masks | [
"region:us"
] | 2023-05-13T14:22:22+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 39145092410.45, "num_examples": 20518}, {"name": "validation", "num_bytes": 3870988258.696, "num_examples": 1988}, {"name": "test", "num_bytes": 4403608598.814, "num_exampl... | 2023-05-14T05:33:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cd45rb_leukocytes_masks"
More Information needed | [
"# Dataset Card for \"cd45rb_leukocytes_masks\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cd45rb_leukocytes_masks\"\n\nMore Information needed"
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d73bdaa40938394b4e2220d72b90790695853d00 | # Dataset Card for "rest23_sentiment_data_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | javilonso/rest23_sentiment_data_v2 | [
"region:us"
] | 2023-05-13T14:51:31+00:00 | {"dataset_info": {"features": [{"name": "Title", "dtype": "string"}, {"name": "Review", "dtype": "string"}, {"name": "Polarity", "dtype": "int64"}, {"name": "Country", "dtype": "int64"}, {"name": "Type", "dtype": "int64"}, {"name": "Title_Review", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "s... | 2023-05-13T14:51:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rest23_sentiment_data_v2"
More Information needed | [
"# Dataset Card for \"rest23_sentiment_data_v2\"\n\nMore Information needed"
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061feb750308eee380fea6a489df5aa85b3cb688 | # zh-tw-pythia-a12k-alpaca
This dataset is a part of the `zh-tw-pythia` project.
* Tokenizer: `zh-tw-pythia-tokenizer-a12k-te01`
* Built with: `alpaca`
* Rows: `104004`
* Max length: `2048`
* Full config:
```json
{"build_with": "alpaca", "preview_length": 256, "alpaca_settings": {"source_dataset": "zetavg/traditi... | zh-tw-llm-dv/zh-tw-pythia-a12k-alpaca | [
"region:us"
] | 2023-05-13T15:22:13+00:00 | {"dataset_info": {"dataset_size": 191727949.0, "download_size": 52567497, "features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"dtype": "string", "name": "preview"}], "splits": [{"name": "train", "num_bytes": 191727949.0, "num... | 2023-05-13T15:25:46+00:00 | [] | [] | TAGS
#region-us
| # zh-tw-pythia-a12k-alpaca
This dataset is a part of the 'zh-tw-pythia' project.
* Tokenizer: 'zh-tw-pythia-tokenizer-a12k-te01'
* Built with: 'alpaca'
* Rows: '104004'
* Max length: '2048'
* Full config:
| [
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] |
cf94101f817f7890ac7f0a299e6a1da7426f35f0 | # Dataset Card for "pixel-art-nouns"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jiovine/pixel-art-nouns | [
"region:us"
] | 2023-05-13T15:37:27+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 364572580.625, "num_examples": 49859}], "download_size": 328291373, "dataset_size": 364572580.625}} | 2023-05-13T15:37:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pixel-art-nouns"
More Information needed | [
"# Dataset Card for \"pixel-art-nouns\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pixel-art-nouns\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"pixel-art-nouns\"\n\nMore Information needed"
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ad85e850c47e391ecd665c3491274d8eca47bbee | A dataset of Wikipedia sentences accompannied by valid and invalid abstract descriptions. | biu-nlp/abstract-sim | [
"region:us"
] | 2023-05-13T15:43:12+00:00 | {} | 2023-05-29T08:33:17+00:00 | [] | [] | TAGS
#region-us
| A dataset of Wikipedia sentences accompannied by valid and invalid abstract descriptions. | [] | [
"TAGS\n#region-us \n"
] | [
6
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"passage: TAGS\n#region-us \n"
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9ff1d1cc939daf0643422de67ac8767a4c97adc1 | # Summary
This is a 🇹🇭 Thai-translated (GCP) dataset based on [MBZUAI/LaMini-instruction](MBZUAI/LaMini-instruction), The dataset was generated with a total of 2.58 million pairs of instructions and responses which later used to fine-tune the LaMini-LM model series.
This dataset utilizes GPT-3.5-turbo and is based ... | Thaweewat/LaMini-instruction-th | [
"task_categories:question-answering",
"size_categories:1M<n<10M",
"language:th",
"license:cc-by-nc-4.0",
"instruction-finetuning",
"arxiv:2304.14402",
"region:us"
] | 2023-05-13T15:57:39+00:00 | {"language": ["th"], "license": "cc-by-nc-4.0", "size_categories": ["1M<n<10M"], "task_categories": ["question-answering"], "tags": ["instruction-finetuning"]} | 2023-05-13T16:15:17+00:00 | [
"2304.14402"
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#task_categories-question-answering #size_categories-1M<n<10M #language-Thai #license-cc-by-nc-4.0 #instruction-finetuning #arxiv-2304.14402 #region-us
| # Summary
This is a 🇹🇭 Thai-translated (GCP) dataset based on MBZUAI/LaMini-instruction, The dataset was generated with a total of 2.58 million pairs of instructions and responses which later used to fine-tune the LaMini-LM model series.
This dataset utilizes GPT-3.5-turbo and is based on several existing resources... | [
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08afd66ec21e920afd2a4a2551ccc302e0a5aad5 | # Dataset Card for "aptos"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sngsfydy/aptos | [
"region:us"
] | 2023-05-13T15:58:34+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"}}}}], "splits": [{"name": "train", "num_bytes": 6185316143.746, "num_examples": 3662}], "download_size": 8874518024, "dataset_size": 6185316143.746}} | 2023-05-13T16:07:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "aptos"
More Information needed | [
"# Dataset Card for \"aptos\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"aptos\"\n\nMore Information needed"
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30aecbd2653259dafe5e7855930e68c621c7add1 | # Dataset Card for "TextVQA_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/TextVQA_train | [
"region:us"
] | 2023-05-13T16:30:18+00:00 | {"dataset_info": {"features": [{"name": "image_id", "dtype": "string"}, {"name": "question_id", "dtype": "int32"}, {"name": "question", "dtype": "string"}, {"name": "question_tokens", "sequence": "string"}, {"name": "image", "dtype": "image"}, {"name": "image_width", "dtype": "int32"}, {"name": "image_height", "dtype":... | 2023-05-13T16:34:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "TextVQA_train"
More Information needed | [
"# Dataset Card for \"TextVQA_train\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"TextVQA_train\"\n\nMore Information needed"
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51795a9b6c934fc4568ae19db5c14286d3caa118 | # Dataset Card for "TextVQA_validation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/TextVQA_validation | [
"region:us"
] | 2023-05-13T16:34:16+00:00 | {"dataset_info": {"features": [{"name": "image_id", "dtype": "string"}, {"name": "question_id", "dtype": "int32"}, {"name": "question", "dtype": "string"}, {"name": "question_tokens", "sequence": "string"}, {"name": "image", "dtype": "image"}, {"name": "image_width", "dtype": "int32"}, {"name": "image_height", "dtype":... | 2023-05-13T16:35:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "TextVQA_validation"
More Information needed | [
"# Dataset Card for \"TextVQA_validation\"\n\nMore Information needed"
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"# Dataset Card for \"TextVQA_validation\"\n\nMore Information needed"
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e0b132a30a587bc696ab92893c91ccfa4654c707 | # Dataset Card for "TextVQA_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/TextVQA_test | [
"region:us"
] | 2023-05-13T16:35:05+00:00 | {"dataset_info": {"features": [{"name": "image_id", "dtype": "string"}, {"name": "question_id", "dtype": "int32"}, {"name": "question", "dtype": "string"}, {"name": "question_tokens", "sequence": "string"}, {"name": "image", "dtype": "image"}, {"name": "image_width", "dtype": "int32"}, {"name": "image_height", "dtype":... | 2023-05-13T16:35:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "TextVQA_test"
More Information needed | [
"# Dataset Card for \"TextVQA_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"TextVQA_test\"\n\nMore Information needed"
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44340193baf8cc7b4d0d7ba79d544360547d8c8a | # MIT 6.8300/6.8301 Advances in Computer Vision Final Project
This is a dataset card used for our final projet on control nets
Dataset is obtained from https://www.kaggle.com/datasets/kengoichiki/the-metropolitan-museum-of-art-ukiyoe-dataset
Here, we used BLIP for image captions (prompt), used CV2 canny edge detectio... | annabely/ukiyoe_50_100_control_net | [
"region:us"
] | 2023-05-13T16:39:32+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "image"}, {"name": "target", "dtype": "image"}, {"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1713365742.05, "num_examples": 4015}], "download_size": 1765586642, "dataset_size": 1713365742.05}} | 2023-05-14T09:27:31+00:00 | [] | [] | TAGS
#region-us
| # MIT 6.8300/6.8301 Advances in Computer Vision Final Project
This is a dataset card used for our final projet on control nets
Dataset is obtained from URL
Here, we used BLIP for image captions (prompt), used CV2 canny edge detection algorithm for conditioning images (target) | [
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"passage: TAGS\n#region-us \n# MIT 6.8300/6.8301 Advances in Computer Vision Final Project\nThis is a dataset card used for our final projet on control nets\n\nDataset is obtained from URL\n\nHere, we used BLIP for image captions (prompt), used CV2 canny edge detection algorithm for conditioning images (target)"
] |
f82ac6aa406bd79d9a92d078f0de9ff3f134b496 | # MIT 6.8300/6.8301 Advances in Computer Vision Final Project
This is a dataset card used for our final projet on control nets
Dataset is obtained from https://www.kaggle.com/datasets/kengoichiki/the-metropolitan-museum-of-art-ukiyoe-dataset
Here, we used BLIP for image captions (prompt), used CV2 canny edge detectio... | annabely/ukiyoe_100_200_control_net | [
"region:us"
] | 2023-05-13T16:47:11+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "image"}, {"name": "target", "dtype": "image"}, {"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1693358001.33, "num_examples": 4015}], "download_size": 1744645145, "dataset_size": 1693358001.33}} | 2023-05-14T09:25:14+00:00 | [] | [] | TAGS
#region-us
| # MIT 6.8300/6.8301 Advances in Computer Vision Final Project
This is a dataset card used for our final projet on control nets
Dataset is obtained from URL
Here, we used BLIP for image captions (prompt), used CV2 canny edge detection algorithm for conditioning images (target) | [
"# MIT 6.8300/6.8301 Advances in Computer Vision Final Project\nThis is a dataset card used for our final projet on control nets\n\nDataset is obtained from URL\n\nHere, we used BLIP for image captions (prompt), used CV2 canny edge detection algorithm for conditioning images (target)"
] | [
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"passage: TAGS\n#region-us \n# MIT 6.8300/6.8301 Advances in Computer Vision Final Project\nThis is a dataset card used for our final projet on control nets\n\nDataset is obtained from URL\n\nHere, we used BLIP for image captions (prompt), used CV2 canny edge detection algorithm for conditioning images (target)"
] |
72cf6b30a015047b0e17291367fda34f4c93ccdc | tsvs are from here https://github.com/google-research/FLAN/tree/4c5f0ba64239f7ff98fe90a5426fa175f4d1713c/flan/v2/cot_data
1 dupe removed, 31356 instances of alignment removed
dataset preview is fucked, it looks like this
```
{"question": "What does the government have control over?\\nOptions:\\n- trouble\\n- country\\... | ewof/flan_unfiltered | [
"region:us"
] | 2023-05-13T16:51:23+00:00 | {} | 2023-05-15T12:28:38+00:00 | [] | [] | TAGS
#region-us
| tsvs are from here URL
1 dupe removed, 31356 instances of alignment removed
dataset preview is fucked, it looks like this
inspired by URL
All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py, I then took this script and adapted it to clean_format_dedupe.py | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
cda27c441e2814b84485a387f8d39664ff9236b1 | # Dataset Card for "bookmebus-reviews"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | seanghay/bookmebus-reviews | [
"region:us"
] | 2023-05-13T17:01:59+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "score", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 622221, "num_examples": 4114}], "download_size": 371796, "dataset_size": 622221}} | 2023-05-13T17:02:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookmebus-reviews"
More Information needed | [
"# Dataset Card for \"bookmebus-reviews\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bookmebus-reviews\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"bookmebus-reviews\"\n\nMore Information needed"
] |
05c4065c416b9ee94b7b67e04200d1947972ced1 | # Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Saiteja/celeb-identities | [
"region:us"
] | 2023-05-13T17:37:16+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "allu_arjun", "1": "chiranjeevi", "2": "kamal_haasan", "3": "mahesh_babu", "4": "prabhas", "5": "rajnikanth"}}}}], "splits": [{"name": "train", "num_bytes": 1952307.0, "num_examples": 18}], "do... | 2023-05-13T17:53:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities"
More Information needed | [
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
] |
c24031770264266239adc1c3a588febb0e2c13a3 |
# Dataset Card for SQuAD-TR
## Table of Contents
- [SQuAD-TR](#dataset-summary)
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [C... | boun-tabi/squad_tr | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"task_ids:extractive-qa",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|squad",
"language:tr",
"license:cc-by-nc... | 2023-05-13T18:01:44+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["tr"], "license": "cc-by-nc-nd-4.0", "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|squad"], "task_categories": ["question-answering"], "task_ids": ["open-domain-... | 2024-01-06T20:03:12+00:00 | [] | [
"tr"
] | TAGS
#task_categories-question-answering #task_ids-open-domain-qa #task_ids-extractive-qa #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|squad #language-Turkish #license-cc-by-nc-nd-4.0 #region-us
| Dataset Card for SQuAD-TR
=========================
Table of Contents
-----------------
* SQuAD-TR
+ Dataset Description
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
* Additional Information
+ Licensing Information
+ Citation Informat... | [
"### Dataset Description\n\n\n* Repository: SQuAD-TR GitHub Repository\n* Paper: Building Efficient and Effective OpenQA Systems for Low-Resource Languages\n* Point of Contact: Emrah Budur\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nOur data instances follow that of the original SQuAD2.0 ... | [
"TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #task_ids-extractive-qa #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|squad #language-Turkish #license-cc-by-nc-nd-4.0 #region-us \n",
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eb75e86c8e29eb013fed49870ac0854146d79c06 | # Dataset Card for "randomized_clean_miniwob_episodes_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LucasThil/randomized_clean_miniwob_episodes_v2 | [
"region:us"
] | 2023-05-13T18:13:54+00:00 | {"dataset_info": {"features": [{"name": "task_name", "dtype": "string"}, {"name": "utterance", "dtype": "string"}, {"name": "reward", "dtype": "float64"}, {"name": "raw_reward", "dtype": "float64"}, {"name": "processed_states", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 443683307, "num_examples": 13... | 2023-05-13T18:13:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "randomized_clean_miniwob_episodes_v2"
More Information needed | [
"# Dataset Card for \"randomized_clean_miniwob_episodes_v2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"randomized_clean_miniwob_episodes_v2\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"randomized_clean_miniwob_episodes_v2\"\n\nMore Information needed"
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8aadf83eedfa37a83baa10834008a58cf16e702d | # Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cjensen/celeb-identities | [
"region:us"
] | 2023-05-13T19:18:27+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Carrot_Top", "1": "Chris_Hemsworth", "2": "Gru", "3": "Michael_Jordan", "4": "Mother_Teresa", "5": "Winona_Ryder"}}}}], "splits": [{"name": "train", "num_bytes": 8636520.0, "num_examples": 18}... | 2023-05-13T19:18:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities"
More Information needed | [
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
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6b0acc40ca164fe9c5105a5699bb36bc9c645565 | # Dataset Card for "personal_finance_v0.2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | danielv835/personal_finance_v0.2 | [
"region:us"
] | 2023-05-13T20:06:30+00:00 | {"dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 105692600, "num_examples": 56557}, {"name": "test", "num_bytes": 1825911, "num_examples": 1000}], "download_size": 64159306, "... | 2023-05-13T20:06:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "personal_finance_v0.2"
More Information needed | [
"# Dataset Card for \"personal_finance_v0.2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"personal_finance_v0.2\"\n\nMore Information needed"
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d096f402fdc76886458c0cfb5dedc829bea2b935 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:** [Enhancement to Low Resource Text Classification via Sequential Transfer Learning](#)
- **Leaderboard:**
- **Point of Contact:** [Neil Riego](mailto:neilchristianriego3@gmail.com)
### Dataset Summary
This datas... | scaredmeow/shopee-reviews-tl-stars | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:tl",
"license:mpl-2.0",
"reviews",
"shopee",
"doi:10.57967/hf/0656",
"region:us"
] | 2023-05-13T20:13:28+00:00 | {"language": ["tl"], "license": "mpl-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "1 star", "1": "2 star", "2": "3 stars", "3": "4 stars", "4": "5 stars"}}}}, {"name": "text", "dtype": "string"... | 2023-05-15T06:40:20+00:00 | [] | [
"tl"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-Tagalog #license-mpl-2.0 #reviews #shopee #doi-10.57967/hf/0656 #region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper: Enhancement to Low Resource Text Classification via Sequential Transfer Learning
- Leaderboard:
- Point of Contact: Neil Riego
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been ... | [
"# Dataset Card for Dataset Name",
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"### Dataset Summary\n\nThis dataset card aims to be a base template for new da... | [
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e734e5093becb4ca8066bc50aa30f69e89b12931 | # Dataset Card for "pixel-art-nouns-2k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jiovine/pixel-art-nouns-2k | [
"region:us"
] | 2023-05-13T20:45:53+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14571875.0, "num_examples": 2000}], "download_size": 13095236, "dataset_size": 14571875.0}} | 2023-05-13T20:48:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pixel-art-nouns-2k"
More Information needed | [
"# Dataset Card for \"pixel-art-nouns-2k\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pixel-art-nouns-2k\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"pixel-art-nouns-2k\"\n\nMore Information needed"
] |
015d77b65c3cbef24b83d4634bd734e47f058d71 | # Dataset Card for "blur_caption"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sejalg/blur_caption | [
"region:us"
] | 2023-05-13T20:48:58+00:00 | {"dataset_info": {"features": [{"name": "original_image", "dtype": "image"}, {"name": "blurred_image", "dtype": "image"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6367434279.878, "num_examples": 10882}], "download_size": 6368908097, "dataset_size": 6367434279.878}} | 2023-05-14T16:19:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "blur_caption"
More Information needed | [
"# Dataset Card for \"blur_caption\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"blur_caption\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"blur_caption\"\n\nMore Information needed"
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0fe6a15666977ca76204791520e84f79f0765761 | # Dataset Card for "roberta-no-topic-predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AlekseyKorshuk/roberta-no-topic-predictions | [
"region:us"
] | 2023-05-13T20:59:37+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "lang_score", "dtype": "float64"}, {"name": "topic", "dtype": "float64"}, {"name": "topic_prob", "dtype": "float64"}, {"name": "was_outlier", "dtype": "float64"}, {"name": "comments", "list": [{"name": "pre... | 2023-05-13T20:59:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "roberta-no-topic-predictions"
More Information needed | [
"# Dataset Card for \"roberta-no-topic-predictions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"roberta-no-topic-predictions\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"roberta-no-topic-predictions\"\n\nMore Information needed"
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450b0d1538369576dfa6d16b140a9b776d75d7fa | # Dataset Card for "VQAv2_test_no_image_google_flan_t5_xl_mode_A_T_D_PNP_FILTER_C_Q_rices_ns_100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CVasNLPExperiments/VQAv2_test_no_image_google_flan_t5_xl_mode_A_T_D_PNP_FILTER_C_Q_rices_ns_100 | [
"region:us"
] | 2023-05-13T21:24:09+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_clip_tags_LAION_ViT_H_14_2B_with_openai_Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci... | 2023-05-13T21:24:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_google_flan_t5_xl_mode_A_T_D_PNP_FILTER_C_Q_rices_ns_100"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_google_flan_t5_xl_mode_A_T_D_PNP_FILTER_C_Q_rices_ns_100\"\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 \"VQAv2_test_no_image_google_flan_t5_xl_mode_A_T_D_PNP_FILTER_C_Q_rices_ns_100\"\n\nMore Information needed"
] |
85894860d2d17eec8493f44a0e884db3146876e1 | # Dataset Card for "reward-model-no-topic-predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AlekseyKorshuk/reward-model-no-topic-predictions | [
"region:us"
] | 2023-05-13T21:34:44+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "lang_score", "dtype": "float64"}, {"name": "topic", "dtype": "float64"}, {"name": "topic_prob", "dtype": "float64"}, {"name": "was_outlier", "dtype": "float64"}, {"name": "comments", "list": [{"name": "pre... | 2023-05-13T21:34:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "reward-model-no-topic-predictions"
More Information needed | [
"# Dataset Card for \"reward-model-no-topic-predictions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"reward-model-no-topic-predictions\"\n\nMore Information needed"
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e2bf3c2f1d7f0aef76fd95a9b417a6d748d97c2f | # Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | obrito/celeb-identities | [
"region:us"
] | 2023-05-13T22:28:24+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Armadillo", "1": "Cat", "2": "Corgi", "3": "Emma_Stone", "4": "Platypus", "5": "Ryan_Gosling"}}}}], "splits": [{"name": "train", "num_bytes": 1589786.0, "num_examples": 18}], "download_size": ... | 2023-05-13T22:28:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities"
More Information needed | [
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
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39db91866dd0f251f3b0c7f42c0f85634101df6e | # Dataset Card for "code-search-net-python"
## Dataset Description
- **Homepage:** None
- **Repository:** https://huggingface.co/datasets/Nan-Do/code-search-net-python
- **Paper:** None
- **Leaderboard:** None
- **Point of Contact:** [@Nan-Do](https://github.com/Nan-Do)
## Dataset Description
- **Homepage:** None
... | Nan-Do/code-search-net-python | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"task_categories:summarization",
"language:en",
"license:apache-2.0",
"code",
"python",
"CodeSearchNet",
"region:us"
] | 2023-05-13T23:42:57+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation", "text2text-generation", "summarization"], "pretty_name": "Python CodeSearchNet with Summaries", "dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "func_name", "dtype": "str... | 2023-05-14T23:55:15+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-text2text-generation #task_categories-summarization #language-English #license-apache-2.0 #code #python #CodeSearchNet #region-us
| # Dataset Card for "code-search-net-python"
## Dataset Description
- Homepage: None
- Repository: URL
- Paper: None
- Leaderboard: None
- Point of Contact: @Nan-Do
## Dataset Description
- Homepage: None
- Repository: URL
- Paper: None
- Leaderboard: None
- Point of Contact: @Nan-Do
### Dataset Summary
This dat... | [
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"## Dataset Description\n\n- Homepage: None\n- Repository: URL\n- Paper: None\n- Leaderboard: None\n- Point of Contact: @Nan-Do",
"## Dataset Description\n\n- Homepage: None\n- Repository: URL\n- Paper: None\n- Leaderboard: None\n- Point of Contact: @Nan-Do",
"... | [
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b31e70e407f7674b39c5a4a0fe53335d5d45a202 | # Dataset Card for "VQAv2_validation_no_image_google_flan_t5_xxl_mode_A_T_D_PNP_FILTER_C_Q_rices_ns_2000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CVasNLPExperiments/VQAv2_validation_no_image_google_flan_t5_xxl_mode_A_T_D_PNP_FILTER_C_Q_rices_ns_2000 | [
"region:us"
] | 2023-05-14T00:06:31+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_clip_tags_LAION_ViT_H_14_2B_with_openai_Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci... | 2023-05-14T00:06:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_validation_no_image_google_flan_t5_xxl_mode_A_T_D_PNP_FILTER_C_Q_rices_ns_2000"
More Information needed | [
"# Dataset Card for \"VQAv2_validation_no_image_google_flan_t5_xxl_mode_A_T_D_PNP_FILTER_C_Q_rices_ns_2000\"\n\nMore Information needed"
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] |
168e980363218100cb8a4bde59525ca6cd2041bd | # Dataset Card for "musicdiffuser"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ramgus/musicdiffuser | [
"region:us"
] | 2023-05-14T00:21:28+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1244122934.912, "num_examples": 9929}], "download_size": 1183249933, "dataset_size": 1244122934.912}} | 2023-05-14T00:53:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "musicdiffuser"
More Information needed | [
"# Dataset Card for \"musicdiffuser\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"musicdiffuser\"\n\nMore Information needed"
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b9ba22fa430481061c9e33748b4a272d1522860e | # Dataset Card for "VQAv2_validation_no_image_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_Q_rices_ns_2000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CVasNLPExperiments/VQAv2_validation_no_image_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_Q_rices_ns_2000 | [
"region:us"
] | 2023-05-14T00:21:45+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_clip_tags_LAION_ViT_H_14_2B_with_openai_Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci... | 2023-05-14T00:21:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_validation_no_image_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_Q_rices_ns_2000"
More Information needed | [
"# Dataset Card for \"VQAv2_validation_no_image_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_Q_rices_ns_2000\"\n\nMore Information needed"
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] |
776d6c567919b3a5184cb71aed59568565303747 | # Dataset Card for "VQAv2_test_no_image_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_Q_rices_ns_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CVasNLPExperiments/VQAv2_test_no_image_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_Q_rices_ns_1000 | [
"region:us"
] | 2023-05-14T00:39:40+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_clip_tags_LAION_ViT_H_14_2B_with_openai_Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci... | 2023-05-14T00:39:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_Q_rices_ns_1000"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_Q_rices_ns_1000\"\n\nMore Information needed"
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] |
e51995ddfb8ae2d6e1c5de29f8c041065cb57059 | # Dataset Card for "analisis-sentimientos-textos-turisitcos-mx-polaridad-DataAugmentationV1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vg055/analisis-sentimientos-textos-turisitcos-mx-polaridad-DataAugmentationV1 | [
"region:us"
] | 2023-05-14T00:49:41+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 99751382, "num_examples": 243912}, {"name": "test", "num_bytes": 10317131, "num_examples": 25171}], "download_size": 67444651, "dataset_size": 110068513}} | 2023-05-14T00:49:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "analisis-sentimientos-textos-turisitcos-mx-polaridad-DataAugmentationV1"
More Information needed | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"analisis-sentimientos-textos-turisitcos-mx-polaridad-DataAugmentationV1\"\n\nMore Information needed"
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ee4a3cbadb2f14e776646f82ce98b9f534335c23 | # Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | khelton/celeb-identities | [
"region:us"
] | 2023-05-14T01:16:56+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Jackie_Robinson", "1": "Karen_Gillan", "2": "Ken_Griffey_Jr", "3": "Michelle_Yeoh", "4": "Mike_Trout", "5": "Ralph_Macchio", "6": "Steve_Lemme"}}}}], "splits": [{"name": "train", "num_bytes": ... | 2023-05-14T01:17:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities"
More Information needed | [
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3d8f37afe078f9c3d703ce7e69adcf7d34200a67 | # MIT 6.8300/6.8301 Advances in Computer Vision Final Project
This is a dataset card used for our final projet on control nets
Dataset is obtained from https://www.kaggle.com/datasets/kengoichiki/the-metropolitan-museum-of-art-ukiyoe-dataset
Here, we used BLIP for image captions (prompt), used CV2 canny edge detectio... | annabely/ukiyoe_10_30_control_net | [
"region:us"
] | 2023-05-14T01:49:30+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "image"}, {"name": "target", "dtype": "image"}, {"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1781618172.45, "num_examples": 4015}], "download_size": 1838494499, "dataset_size": 1781618172.45}} | 2023-05-14T09:24:00+00:00 | [] | [] | TAGS
#region-us
| # MIT 6.8300/6.8301 Advances in Computer Vision Final Project
This is a dataset card used for our final projet on control nets
Dataset is obtained from URL
Here, we used BLIP for image captions (prompt), used CV2 canny edge detection algorithm for conditioning images (target)
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838358a8bd654e55020d78e43401a2ccb90a4080 | # Dataset Card for "celeb-identities-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | deman539/celeb-identities-test | [
"region:us"
] | 2023-05-14T02:25:46+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Dua_Lipa", "1": "Emma_Watson", "2": "Kim_Kardashian", "3": "Morgan_Freeman", "4": "Robert_Downey_Jr", "5": "Salma_Hayek", "6": "Tom_Cruise"}}}}], "splits": [{"name": "train", "num_bytes": 1747... | 2023-05-14T02:25:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities-test"
More Information needed | [
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207e24b71fba53a5391839458773145582e269ef | # Synthetic Python Problems(SPP) Dataset
The dataset includes around 450k synthetic Python programming problems. Each Python problem consists of a task description, 1-3 examples, code solution and 1-3 test cases.
The CodeGeeX-13B model was used to generate this dataset.
A subset of the data has been verified by Pyth... | wuyetao/spp | [
"size_categories:100K<n<1M",
"license:cc-by-4.0",
"region:us"
] | 2023-05-14T02:54:27+00:00 | {"license": "cc-by-4.0", "size_categories": ["100K<n<1M"]} | 2023-05-14T03:49:53+00:00 | [] | [] | TAGS
#size_categories-100K<n<1M #license-cc-by-4.0 #region-us
| # Synthetic Python Problems(SPP) Dataset
The dataset includes around 450k synthetic Python programming problems. Each Python problem consists of a task description, 1-3 examples, code solution and 1-3 test cases.
The CodeGeeX-13B model was used to generate this dataset.
A subset of the data has been verified by Pyth... | [
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c7194e3f90ee84684a26f335288bcbbfc7b8c94f | # Distilled XSum Dataset
This folder contains the dataset loading script for the distilled XSum data, which replaces the gold summaries with the [pseudo-labels](https://github.com/huggingface/transformers/blob/main/examples/research_projects/seq2seq-distillation/precomputed_pseudo_labels.md) generated by google/pegasu... | yuyang/distil_xsum | [
"region:us"
] | 2023-05-14T03:22:05+00:00 | {} | 2023-05-14T03:22:29+00:00 | [] | [] | TAGS
#region-us
| # Distilled XSum Dataset
This folder contains the dataset loading script for the distilled XSum data, which replaces the gold summaries with the pseudo-labels generated by google/pegasus-xsum. | [
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51f29bb5d58b51a03c17bd3a1e0ce7b461e8df8a | # Dataset Card for "code-search-net-javascript"
## Dataset Description
- **Homepage:** None
- **Repository:** https://huggingface.co/datasets/Nan-Do/code-search-net-JavaScript
- **Paper:** None
- **Leaderboard:** None
- **Point of Contact:** [@Nan-Do](https://github.com/Nan-Do)
### Dataset Summary
This dataset is ... | Nan-Do/code-search-net-javascript | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"task_categories:summarization",
"language:en",
"license:apache-2.0",
"code",
"javascript",
"CodeSearchNet",
"summary",
"region:us"
] | 2023-05-14T03:31:20+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation", "text2text-generation", "summarization"], "pretty_name": "JavaScript CodeSearchNet with Summaries", "dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "func_name", "dtype": ... | 2023-05-14T23:57:43+00:00 | [] | [
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] | TAGS
#task_categories-text-generation #task_categories-text2text-generation #task_categories-summarization #language-English #license-apache-2.0 #code #javascript #CodeSearchNet #summary #region-us
| # Dataset Card for "code-search-net-javascript"
## Dataset Description
- Homepage: None
- Repository: URL
- Paper: None
- Leaderboard: None
- Point of Contact: @Nan-Do
### Dataset Summary
This dataset is the JavaScript portion of the CodeSarchNet annotated with a summary column.
The code-search-net dataset inclu... | [
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ed2ec686d8d3d8300a8bfdeda30344e2f13c8675 | # Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zxzl/celeb-identities | [
"region:us"
] | 2023-05-14T04:04:51+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Beyonce", "1": "Jennie_of_BlackPink", "2": "Martin_Luther_King_Jr.", "3": "Matt_Damon", "4": "Miranda_Kerr", "5": "RM_of_BTS"}}}}], "splits": [{"name": "train", "num_bytes": 1207553.0, "num_ex... | 2023-05-14T04:04:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities"
More Information needed | [
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7d7a3dea4d810fce9ee71cb46bee1b57a7b88298 | # Dataset Card for "github-code-haskell-function"
Rows: 3.26M
Download Size: 1.17GB
This dataset is extracted from [github-code-haskell-file](https://huggingface.co/datasets/blastwind/github-code-haskell-file).
Each row has 3 flavors of the same function:
`uncommented_code`: Includes the function and its closest si... | blastwind/deprecated-github-code-haskell-function | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"code",
"haskell",
"region:us"
] | 2023-05-14T04:17:31+00:00 | {"size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "repo_name", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "license", "dtype": "string"}, {"name": "full_code", "dtype": "string"}, {"name": "full_size", "dtype": "int64"}, {"name": "unco... | 2023-12-01T06:04:52+00:00 | [] | [] | TAGS
#task_categories-text-generation #size_categories-1M<n<10M #code #haskell #region-us
| # Dataset Card for "github-code-haskell-function"
Rows: 3.26M
Download Size: 1.17GB
This dataset is extracted from github-code-haskell-file.
Each row has 3 flavors of the same function:
'uncommented_code': Includes the function and its closest signature.
'function_only_code': Includes the function only.
'full_code... | [
"# Dataset Card for \"github-code-haskell-function\"\n\nRows: 3.26M\nDownload Size: 1.17GB\n\nThis dataset is extracted from github-code-haskell-file.\n\nEach row has 3 flavors of the same function: \n'uncommented_code': Includes the function and its closest signature. \n'function_only_code': Includes the function ... | [
"TAGS\n#task_categories-text-generation #size_categories-1M<n<10M #code #haskell #region-us \n",
"# Dataset Card for \"github-code-haskell-function\"\n\nRows: 3.26M\nDownload Size: 1.17GB\n\nThis dataset is extracted from github-code-haskell-file.\n\nEach row has 3 flavors of the same function: \n'uncommented_cod... | [
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d5388197d457f4d294975d252aa9306487b9bd75 | # Dataset Card for "github-code-haskell"
Size: 754MB
Rows: 1.5M
Each row also contains attribute values for my personal analysis project. 7.5% (114k) of the rows have cyclomatic complexity and LOC valued at -1 because homplexity failed in parsing the row's uncommented_code. | blastwind/github-code-haskell | [
"region:us"
] | 2023-05-14T04:17:40+00:00 | {"dataset_info": {"features": [{"name": "code", "dtype": "string"}, {"name": "repo_name", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "license", "dtype": "string"}, {"name": "size", "dtype": "int64"}, {"name": "n_ast_errors", "dtype": "int64"}, {"name": "ast_max_depth", "dtype": "int64"}, {"name":... | 2023-05-16T04:20:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "github-code-haskell"
Size: 754MB
Rows: 1.5M
Each row also contains attribute values for my personal analysis project. 7.5% (114k) of the rows have cyclomatic complexity and LOC valued at -1 because homplexity failed in parsing the row's uncommented_code. | [
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... |
02d64dc60bdc1d549e2de10187aa8987e31299cc | # Dataset Card for "cl-signal_processing_attacks_large"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TeamSODA/cl-signal_processing_attacks_whisper_librispeech | [
"task_categories:audio-classification",
"size_categories:1K<n<10K",
"language:en",
"license:openrail",
"region:us"
] | 2023-05-14T05:53:16+00:00 | {"language": ["en"], "license": "openrail", "size_categories": ["1K<n<10K"], "task_categories": ["audio-classification"], "pretty_name": "SodaSP", "dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0-original", "1": "1-attacked"}}}}], "splits":... | 2023-05-14T07:34:31+00:00 | [] | [
"en"
] | TAGS
#task_categories-audio-classification #size_categories-1K<n<10K #language-English #license-openrail #region-us
| # Dataset Card for "cl-signal_processing_attacks_large"
More Information needed | [
"# Dataset Card for \"cl-signal_processing_attacks_large\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-audio-classification #size_categories-1K<n<10K #language-English #license-openrail #region-us \n",
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] |
144c3349bf849409ffb42da1bc835f2def1d39bf | # Dataset Card for "details_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | darksensei/details_dataset | [
"region:us"
] | 2023-05-14T06:23:46+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "full_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43751142.4, "num_examples": 960}, {"name": "test", "num_bytes": 10937785.6, "num_examples": 240}], "download_size": 53367810, "dat... | 2023-05-23T14:12:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "details_dataset"
More Information needed | [
"# Dataset Card for \"details_dataset\"\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 \"details_dataset\"\n\nMore Information needed"
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7ef2d8bba93a063d56911dbbc386ece6fb51961b |
# Dataset Summary
Contains hourly 2 meters of land (on-shore) air temperature data within grid areas of Thailand country. <br/>
Data is retrieved from [Corpernicus Climate Data Store](https://cds.climate.copernicus.eu/cdsapp#!/home) on [ERA5-Land hourly data from 1950 to present](https://cds.climate.copernicus.eu/cdsa... | WasuratS/ECMWF_Thailand_Land_Air_Temperatures | [
"task_categories:time-series-forecasting",
"size_categories:100M<n<1B",
"license:eupl-1.1",
"climate",
"region:us"
] | 2023-05-14T06:30:45+00:00 | {"license": "eupl-1.1", "size_categories": ["100M<n<1B"], "task_categories": ["time-series-forecasting"], "tags": ["climate"]} | 2023-05-15T00:20:10+00:00 | [] | [] | TAGS
#task_categories-time-series-forecasting #size_categories-100M<n<1B #license-eupl-1.1 #climate #region-us
|
# Dataset Summary
Contains hourly 2 meters of land (on-shore) air temperature data within grid areas of Thailand country. <br/>
Data is retrieved from Corpernicus Climate Data Store on ERA5-Land hourly data from 1950 to present
<br/>
Thailand areas in this context is Latitude = [5.77434, 20.43353] and Longitude = [97... | [
"# Dataset Summary\nContains hourly 2 meters of land (on-shore) air temperature data within grid areas of Thailand country. <br/>\nData is retrieved from Corpernicus Climate Data Store on ERA5-Land hourly data from 1950 to present\n <br/>\nThailand areas in this context is Latitude = [5.77434, 20.43353] and Longitu... | [
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51c4d9e7b5436505d27676b38f5f893aa3b63519 | # Gaepago (Gae8J/gaepago_s)
## How to use
### 1. Install dependencies
```bash
pip install datasets==2.10.1
pip install soundfile==0.12.1
pip install librosa==0.10.0.post2
```
### 2. Load the dataset
```python
from datasets import load_dataset
dataset = load_dataset("Gae8J/gaepago_s")
```
Outputs
```
DatasetDict({
... | Gae8J/gaepago_s | [
"task_categories:audio-classification",
"size_categories:1K<n<10K",
"license:other",
"region:us"
] | 2023-05-14T06:33:00+00:00 | {"license": "other", "size_categories": ["1K<n<10K"], "task_categories": ["audio-classification"], "dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bark", "1": "bow-wow", "2": "... | 2023-05-19T13:50:49+00:00 | [] | [] | TAGS
#task_categories-audio-classification #size_categories-1K<n<10K #license-other #region-us
| # Gaepago (Gae8J/gaepago_s)
## How to use
### 1. Install dependencies
### 2. Load the dataset
Outputs
### 3. Check a sample
Outputs
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49ed7ffcc4107a14182983586e12bde06154123b | # Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ruqoyya/celeb-identities | [
"region:us"
] | 2023-05-14T07:14:52+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Albert_Einstein", "1": "Ashley_Olsen", "2": "Chris_Rock", "3": "Cristiano_Ronaldo", "4": "Didier_Drogba", "5": "Idris_Elba", "6": "Lionel_Messi", "7": "Mary-Kate_Olsen", "8": "Paul_Pogba", "9"... | 2023-05-14T07:14:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities"
More Information needed | [
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
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a2a731f30f6095e26596ef0760d1a76ca28d6ae4 | # Dataset Card for "skin_cancer_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Pranavkpba2000/skin_cancer_dataset | [
"region:us"
] | 2023-05-14T07:40:43+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "AK", "1": "BCC", "2": "BKL", "3": "DF", "4": "MEL", "5": "NV", "6": "SCC", "7": "VASC"}}}}], "splits": [{"name": "train", "num_bytes": 9380942753.528, "num_examples": 28516}, {"name": "test", ... | 2023-05-14T07:47:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "skin_cancer_dataset"
More Information needed | [
"# Dataset Card for \"skin_cancer_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"skin_cancer_dataset\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"skin_cancer_dataset\"\n\nMore Information needed"
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91871af5af11efba6eb1fcd421403f783fc6ea85 | # Dataset Card for "NCT-CRC-HE-45k"
@dataset{kather_jakob_nikolas_2018_1214456,
author = {Kather, Jakob Nikolas and
Halama, Niels and
Marx, Alexander},
title = {{100,000 histological images of human colorectal
cancer and healthy tissue}},
month... | polejowska/NCT-CRC-HE-45k | [
"region:us"
] | 2023-05-14T09:29:04+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "ADI", "1": "BACK", "2": "DEB", "3": "LYM", "4": "MUC", "5": "MUS", "6": "NORM", "7": "STR", "8": "TUM"}}}}], "splits": [{"name": "train", "num_bytes": 2820558485.0, "num_examples": 45000}], "d... | 2023-05-14T14:36:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "NCT-CRC-HE-45k"
@dataset{kather_jakob_nikolas_2018_1214456,
author = {Kather, Jakob Nikolas and
Halama, Niels and
Marx, Alexander},
title = {{100,000 histological images of human colorectal
cancer and healthy tissue}},
month... | [
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e17d6e3b97e09289bbb0ffab82ba2641e83a0a3c |
> There is also an identical dataset for the new libritts-r dataset at [cdminix/libritts-r-aligned](https://huggingface.co/datasets/cdminix/libritts-r-aligned)
# Dataset Card for LibriTTS with Forced Alignments (and Measures)
UPDATE: The preprocessed alignments are now in this repository, so montreal forced aligner ... | cdminix/libritts-aligned | [
"task_categories:automatic-speech-recognition",
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"annotations_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"speech",
"audio",
"automatic-speech-recognition",
"text-to-speech",
"arxiv:1904.02882",
"arxiv:2211.16049",
"region:us"
] | 2023-05-14T09:29:46+00:00 | {"annotations_creators": ["crowdsourced"], "language": "en", "license": ["cc-by-4.0"], "task_categories": ["automatic-speech-recognition", "text-to-speech"], "pretty_name": "LibriTTS Corpus with Forced Alignments", "tags": ["speech", "audio", "automatic-speech-recognition", "text-to-speech"], "extra_gated_prompt": "Whe... | 2023-10-11T18:46:28+00:00 | [
"1904.02882",
"2211.16049"
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|
> There is also an identical dataset for the new libritts-r dataset at cdminix/libritts-r-aligned
# Dataset Card for LibriTTS with Forced Alignments (and Measures)
UPDATE: The preprocessed alignments are now in this repository, so montreal forced aligner does not have to run locally.
## Requirements
- ''pip install... | [
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"## Requirements\n- ''pip install alignments phones'' (required)\n- ''pip install speech-collator'' (optional)",
"## Ex... | [
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ef8f2cee66f9c386eb8f9fe72d1fff1b47b6b95a | # Dataset Card for "prompt_generations"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | diffusers/prompt_generations | [
"region:us"
] | 2023-05-14T10:47:42+00:00 | {"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}, {"name": "Category", "dtype": "string"}, {"name": "Challenge", "dtype": "string"}, {"name": "Note", "dtype": "string"}, {"name": "images", "dtype": "image"}, {"name": "model_name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 217107... | 2023-05-14T10:58:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "prompt_generations"
More Information needed | [
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7a6f8d356c44ded6f58e405fe4292f589601075a | # Dataset Card for [Dataset Name]
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Citation Information](#citation-information)
## Dataset Description
This is a variation of the slake data... | Nikinzt/medical-gen-vqa | [
"arxiv:2102.09542",
"region:us"
] | 2023-05-14T11:10:39+00:00 | {} | 2023-07-18T13:28:21+00:00 | [
"2102.09542"
] | [] | TAGS
#arxiv-2102.09542 #region-us
| # Dataset Card for [Dataset Name]
## Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Data Instances
- Citation Information
## Dataset Description
This is a variation of the slake dataset!
### Languages
We have only seletec the instances with English data!
## Dataset Structure
This data... | [
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bd68de364bfcada4816a97c312d4cdcfb2d76363 | # zh-tw-llm-dev-sample-ta1k-f6dd50-embeddings-tr_alp-61d3e1-c2048
This dataset is a part of the `zh-tw-llm-dev` project.
* Tokenizer: `zh-tw-llm-dev-sample-tokenizer-a1k-f6dd50`
* Built with: `translations`, `alpaca`
* Rows: `300`
* Max length: `2048`
* Full config:
```json
{"build_with": ["translations", "alpaca... | zh-tw-llm-dv-dv/zh-tw-llm-dev-sample-ta1k-f6dd50-embeddings-tr_alp-61d3e1-c2048 | [
"region:us"
] | 2023-05-14T11:29:52+00:00 | {"dataset_info": {"dataset_size": 475784.0, "download_size": 146475, "features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"dtype": "string", "name": "preview"}], "splits": [{"name": "train", "num_bytes": 475784.0, "num_example... | 2023-05-14T11:29:59+00:00 | [] | [] | TAGS
#region-us
| # zh-tw-llm-dev-sample-ta1k-f6dd50-embeddings-tr_alp-61d3e1-c2048
This dataset is a part of the 'zh-tw-llm-dev' project.
* Tokenizer: 'zh-tw-llm-dev-sample-tokenizer-a1k-f6dd50'
* Built with: 'translations', 'alpaca'
* Rows: '300'
* Max length: '2048'
* Full config:
| [
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] |
dccda4838745da7de1285ae3994ed713ac09098a | # zh-tw-llm-dev-sample-ta8k-f6dd50-embeddings-tr_alp-61d3e1-c2048
This dataset is a part of the `zh-tw-llm-dev` project.
* Tokenizer: `zh-tw-llm-dev-sample-tokenizer-a8k-f6dd50`
* Built with: `translations`, `alpaca`
* Rows: `300`
* Max length: `2048`
* Full config:
```json
{"build_with": ["translations", "alpaca... | zh-tw-llm-dv-dv/zh-tw-llm-dev-sample-ta8k-f6dd50-embeddings-tr_alp-61d3e1-c2048 | [
"region:us"
] | 2023-05-14T11:37:40+00:00 | {"dataset_info": {"dataset_size": 453739.0, "download_size": 189056, "features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"dtype": "string", "name": "preview"}], "splits": [{"name": "train", "num_bytes": 453739.0, "num_example... | 2023-05-14T11:37:48+00:00 | [] | [] | TAGS
#region-us
| # zh-tw-llm-dev-sample-ta8k-f6dd50-embeddings-tr_alp-61d3e1-c2048
This dataset is a part of the 'zh-tw-llm-dev' project.
* Tokenizer: 'zh-tw-llm-dev-sample-tokenizer-a8k-f6dd50'
* Built with: 'translations', 'alpaca'
* Rows: '300'
* Max length: '2048'
* Full config:
| [
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] |
e121e4fd886fadc030d633274c053b71839f9c20 |
## Dataset Summary
ProsocialDialogFiltered is a filtered version of the ProsocialDialog dataset.
Multiple versions are present:
- In train_no_casual, rows with the label "casual" have been filtered out as a starting point.
- In train_no_possibly, rows with "possibly needs caution" have been filtered out.
- In train_n... | Englishman2022/prosocial-dialog-filtered | [
"task_categories:conversational",
"task_categories:text-classification",
"task_ids:dialogue-generation",
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"language_creators:crowdsourced",
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"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:Proso... | 2023-05-14T11:41:10+00:00 | {"language_creators": ["crowdsourced", "machine-generated"], "language": ["en"], "license": "cc-by-4.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["ProsocialDialog"], "task_categories": ["conversational", "text-classification"], "task_ids": ["dialogue-generation", "multi... | 2023-05-14T16:48:49+00:00 | [
"2205.12688"
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## Dataset Summary
ProsocialDialogFiltered is a filtered version of the ProsocialDialog dataset.
Multiple versions are present:
- In train_no_casual, rows with the label "casual" have been filtered out as a starting point.
- In train_no_possibly, rows with "possibly needs caution" have been filtered out.
- In train_n... | [
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bc4f83ff754c445ad4bc385f13b017c400ab718f | # Images of Parti Prompts for "sd-v1-5"
Code that was used to get the results:
```py
from diffusers import DiffusionPipeline, DDIMScheduler
import torch
import PIL
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, safety_checker=None)
pipe.to("cuda")
pipe.scheduler... | diffusers-parti-prompts/sd-v1-5 | [
"region:us"
] | 2023-05-14T12:19:45+00:00 | {"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}, {"name": "Category", "dtype": "string"}, {"name": "Challenge", "dtype": "string"}, {"name": "Note", "dtype": "string"}, {"name": "images", "dtype": "image"}, {"name": "model_name", "dtype": "string"}, {"name": "seed", "dtype": "int64"}], "splits": [{... | 2023-05-17T15:53:08+00:00 | [] | [] | TAGS
#region-us
| # Images of Parti Prompts for "sd-v1-5"
Code that was used to get the results:
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ff49ef45e5e567132ea4e4fd997f0da2415752ce | # Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | edangx100/celeb-identities | [
"region:us"
] | 2023-05-14T12:44:19+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bradley_cooper", "1": "chris_pratt", "2": "dave_bautista", "3": "djimon", "4": "karen_gillan", "5": "zoe_saldana"}}}}], "splits": [{"name": "train", "num_bytes": 8292287.0, "num_examples": 24}... | 2023-05-15T12:44:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities"
More Information needed | [
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
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ef26e062490ad7fcf59095de423acb4d111bd325 |
# Dataset Card for russe-semantics-sim with ~200K entries. Russian language.
### Dataset Summary
License: MIT. Contains CSV of a list of word1, word2, their `connection score` (are they synonymous or associations), type of connection.
### Original Datasets are available here:
- https://github.com/nlpub/russe-eval... | 0x22almostEvil/russe-semantics-sim | [
"task_categories:text-classification",
"size_categories:100K<n<1M",
"language:ru",
"license:mit",
"semantics",
"region:us"
] | 2023-05-14T12:45:30+00:00 | {"language": ["ru"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification"], "tags": ["semantics"]} | 2023-05-17T14:43:59+00:00 | [] | [
"ru"
] | TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-Russian #license-mit #semantics #region-us
|
# Dataset Card for russe-semantics-sim with ~200K entries. Russian language.
### Dataset Summary
License: MIT. Contains CSV of a list of word1, word2, their 'connection score' (are they synonymous or associations), type of connection.
### Original Datasets are available here:
- URL | [
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25c812860033246973b5cfe04626d7d2f6811b96 | # Dataset Card for "code-search-net-php"
## Dataset Description
- **Homepage:** None
- **Repository:** https://huggingface.co/datasets/Nan-Do/code-search-net-go
- **Paper:** None
- **Leaderboard:** None
- **Point of Contact:** [@Nan-Do](https://github.com/Nan-Do)
### Dataset Summary
This dataset is the Php portion... | Nan-Do/code-search-net-php | [
"task_categories:text-generation",
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"task_categories:summarization",
"language:en",
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"code",
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"CodeSearchNet",
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] | 2023-05-14T12:57:10+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation", "text2text-generation", "summarization"], "pretty_name": "Php CodeSearchNet with Summaries", "dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "func_name", "dtype": "string... | 2023-05-15T00:01:40+00:00 | [] | [
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] | TAGS
#task_categories-text-generation #task_categories-text2text-generation #task_categories-summarization #language-English #license-apache-2.0 #code #php #CodeSearchNet #summary #region-us
| # Dataset Card for "code-search-net-php"
## Dataset Description
- Homepage: None
- Repository: URL
- Paper: None
- Leaderboard: None
- Point of Contact: @Nan-Do
### Dataset Summary
This dataset is the Php portion of the CodeSarchNet annotated with a summary column.
The code-search-net dataset includes open sourc... | [
"# Dataset Card for \"code-search-net-php\"",
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"### Dataset Summary\n\nThis dataset is the Php portion of the CodeSarchNet annotated with a summary column. \nThe code-search-net data... | [
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ce9b8e062e9dc0ce6df29337bb9e0b610744ef63 | https://github.com/dwslab/StArCon
```
@inproceedings{kobbe-etal-2020-unsupervised,
title = "Unsupervised stance detection for arguments from consequences",
author = "Kobbe, Jonathan and
Hulpu{\textcommabelow{s}}, Ioana and
Stuckenschmidt, Heiner",
booktitle = "Proceedings of the 2020 Conferenc... | tasksource/starcon | [
"task_categories:text-classification",
"language:en",
"license:unknown",
"region:us"
] | 2023-05-14T13:23:36+00:00 | {"language": ["en"], "license": "unknown", "task_categories": ["text-classification"]} | 2023-05-31T07:37:04+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #license-unknown #region-us
| URL
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30b7e2cab8a735ba5a0386da37822e3c6ef9f858 | # Dataset Card for "1-sentence-level-gutenberg-en_arxiv_pubmed_soda"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bjoernp/1-sentence-level-gutenberg-en_arxiv_pubmed_soda | [
"region:us"
] | 2023-05-14T13:37:34+00:00 | {"dataset_info": {"features": [{"name": "sentences", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28929495509, "num_examples": 231591358}], "download_size": 16845472457, "dataset_size": 28929495509}} | 2023-05-14T13:50:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "1-sentence-level-gutenberg-en_arxiv_pubmed_soda"
More Information needed | [
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70e1d3ab17dba38d2da5d8b0e9ff2f5631e4c050 | # Dataset Card for "noto-emoji-vector-512-svg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | darknoon/noto-emoji-vector-512-svg | [
"region:us"
] | 2023-05-14T13:44:25+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "codepoints", "sequence": "int64"}, {"name": "name", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "svg_path", "dtype": "string"}, {"name": "svg_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 90176885... | 2023-05-14T17:11:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "noto-emoji-vector-512-svg"
More Information needed | [
"# Dataset Card for \"noto-emoji-vector-512-svg\"\n\nMore Information needed"
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eed45d49906a7746fa4c6f17f0a938a6e1e3d85f | # Dataset Card for "RestMex2023_review-corpus_DataAugV1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vg055/RestMex2023_review-corpus_DataAugV1 | [
"region:us"
] | 2023-05-14T13:51:40+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 121676941, "num_examples": 332823}], "download_size": 74199966, "dataset_size": 121676941}} | 2023-05-14T13:51:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "RestMex2023_review-corpus_DataAugV1"
More Information needed | [
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3d9d883993a1c87cda39a6ec7bdf59d33e2ab15d | # Dataset Card for "CRC-VAL-HE-7K"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | polejowska/CRC-VAL-HE-7K | [
"region:us"
] | 2023-05-14T13:52:14+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "ADI", "1": "BACK", "2": "DEB", "3": "LYM", "4": "MUC", "5": "MUS", "6": "NORM", "7": "STR", "8": "TUM"}}}}], "splits": [{"name": "train", "num_bytes": 52647542.52, "num_examples": 7180}], "dow... | 2023-05-14T13:54:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CRC-VAL-HE-7K"
More Information needed | [
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aa4593f7bb0ae63e2fd6812ee9e821a26848b760 | # Dataset Card for "BGDIA704_faces"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | JoffreyMa/BGDIA704_faces | [
"region:us"
] | 2023-05-14T14:26:00+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "int64"}, {"name": "genre", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 942521828.16, "num_examples": 192576}], "download_size": 900725876, "dataset_size": 942521828.16}} | 2023-05-15T11:35:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "BGDIA704_faces"
More Information needed | [
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a56314ca01063a6964c53d9c08ac222df091654a | # Dataset Card for "code-search-net-ruby"
## Dataset Description
- **Homepage:** None
- **Repository:** https://huggingface.co/datasets/Nan-Do/code-search-net-go
- **Paper:** None
- **Leaderboard:** None
- **Point of Contact:** [@Nan-Do](https://github.com/Nan-Do)
### Dataset Summary
This dataset is the Ruby porti... | Nan-Do/code-search-net-ruby | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"task_categories:summarization",
"language:en",
"license:apache-2.0",
"code",
"ruby",
"CodeSearchNet",
"Summary",
"region:us"
] | 2023-05-14T14:40:05+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation", "text2text-generation", "summarization"], "pretty_name": "Ruby CodeSearchNet with Summaries", "dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "func_name", "dtype": "strin... | 2023-05-14T23:59:38+00:00 | [] | [
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] | TAGS
#task_categories-text-generation #task_categories-text2text-generation #task_categories-summarization #language-English #license-apache-2.0 #code #ruby #CodeSearchNet #Summary #region-us
| # Dataset Card for "code-search-net-ruby"
## Dataset Description
- Homepage: None
- Repository: URL
- Paper: None
- Leaderboard: None
- Point of Contact: @Nan-Do
### Dataset Summary
This dataset is the Ruby portion of the CodeSarchNet annotated with a summary column.
The code-search-net dataset includes open sou... | [
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77bd885a1dfcfcc240705544c171763a74868ebb | # zh-tw-llm-dev-sample-ta8k-d40d11-only_embeddings-tr_alp-69ed82-c2048
This dataset is a part of the `zh-tw-llm-dev` project.
* Tokenizer: `zh-tw-llm-dev-tokenizer-a8k-d40d11`
* Built with: `translations`, `alpaca`
* Rows: `300`
* Max length: `2048`
* Full config:
```json
{"build_with": ["translations", "alpaca"]... | zh-tw-llm-dv-dv/zh-tw-llm-dev-sample-ta8k-d40d11-only_embeddings-tr_alp-69ed82-c2048 | [
"region:us"
] | 2023-05-14T14:40:28+00:00 | {"dataset_info": {"dataset_size": 454603.0, "download_size": 175001, "features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"dtype": "string", "name": "preview"}], "splits": [{"name": "train", "num_bytes": 454603.0, "num_example... | 2023-05-14T14:44:02+00:00 | [] | [] | TAGS
#region-us
| # zh-tw-llm-dev-sample-ta8k-d40d11-only_embeddings-tr_alp-69ed82-c2048
This dataset is a part of the 'zh-tw-llm-dev' project.
* Tokenizer: 'zh-tw-llm-dev-tokenizer-a8k-d40d11'
* Built with: 'translations', 'alpaca'
* Rows: '300'
* Max length: '2048'
* Full config:
| [
"# zh-tw-llm-dev-sample-ta8k-d40d11-only_embeddings-tr_alp-69ed82-c2048\n\nThis dataset is a part of the 'zh-tw-llm-dev' project.\n\n* Tokenizer: 'zh-tw-llm-dev-tokenizer-a8k-d40d11'\n* Built with: 'translations', 'alpaca'\n* Rows: '300'\n* Max length: '2048'\n* Full config:"
] | [
"TAGS\n#region-us \n",
"# zh-tw-llm-dev-sample-ta8k-d40d11-only_embeddings-tr_alp-69ed82-c2048\n\nThis dataset is a part of the 'zh-tw-llm-dev' project.\n\n* Tokenizer: 'zh-tw-llm-dev-tokenizer-a8k-d40d11'\n* Built with: 'translations', 'alpaca'\n* Rows: '300'\n* Max length: '2048'\n* Full config:"
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"passage: TAGS\n#region-us \n# zh-tw-llm-dev-sample-ta8k-d40d11-only_embeddings-tr_alp-69ed82-c2048\n\nThis dataset is a part of the 'zh-tw-llm-dev' project.\n\n* Tokenizer: 'zh-tw-llm-dev-tokenizer-a8k-d40d11'\n* Built with: 'translations', 'alpaca'\n* Rows: '300'\n* Max length: '2048'\n* Full config:"
] |
2862e5657e7ce9446bffb39bdda26afdb337bb40 | # Images of Parti Prompts for "sd-v2.1"
Code that was used to get the results:
```py
from diffusers import DiffusionPipeline, DDIMScheduler
import torch
import PIL
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", torch_dtype=torch.float16, safety_checker=None)
pipe.to("cuda")
pipe.schedul... | diffusers-parti-prompts/sd-v2.1 | [
"region:us"
] | 2023-05-14T14:48:49+00:00 | {"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}, {"name": "Category", "dtype": "string"}, {"name": "Challenge", "dtype": "string"}, {"name": "Note", "dtype": "string"}, {"name": "images", "dtype": "image"}, {"name": "model_name", "dtype": "string"}, {"name": "seed", "dtype": "int64"}], "splits": [{... | 2023-05-17T15:51:54+00:00 | [] | [] | TAGS
#region-us
| # Images of Parti Prompts for "sd-v2.1"
Code that was used to get the results:
| [
"# Images of Parti Prompts for \"sd-v2.1\"\n\nCode that was used to get the results:"
] | [
"TAGS\n#region-us \n",
"# Images of Parti Prompts for \"sd-v2.1\"\n\nCode that was used to get the results:"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Images of Parti Prompts for \"sd-v2.1\"\n\nCode that was used to get the results:"
] |
a41133002b633d372a72b88f1b03232a50ab5314 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:** [Enhancement to Low Resource Text Classification via Sequential Transfer Learning](#)
- **Leaderboard:**
- **Point of Contact:** [Neil Riego](mailto:neilchristianriego3@gmail.com)
### Dataset Summary
This datas... | scaredmeow/shopee-reviews-tl-binary | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:tl",
"license:odc-by",
"reviews",
"shopee",
"doi:10.57967/hf/0657",
"region:us"
] | 2023-05-14T16:14:40+00:00 | {"language": ["tl"], "license": "odc-by", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "tags": ["reviews", "shopee"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}]}} | 2023-05-19T18:44:57+00:00 | [] | [
"tl"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-Tagalog #license-odc-by #reviews #shopee #doi-10.57967/hf/0657 #region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper: Enhancement to Low Resource Text Classification via Sequential Transfer Learning
- Leaderboard:
- Point of Contact: Neil Riego
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been ... | [
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: Enhancement to Low Resource Text Classification via Sequential Transfer Learning\n- Leaderboard: \n- Point of Contact: Neil Riego",
"### Dataset Summary\n\nThis dataset card aims to be a base template for new da... | [
"TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-Tagalog #license-odc-by #reviews #shopee #doi-10.57967/hf/0657 #region-us \n",
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: Enhancement to Low Resource Text Classification vi... | [
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"passage: TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-Tagalog #license-odc-by #reviews #shopee #doi-10.57967/hf/0657 #region-us \n# Dataset Card for Dataset Name## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: Enhancement to Low Resource Text Classification via S... |
8589b879e24991eaf51fc9a1875491b0dffb556b | # Images of Parti Prompts for "if-v-1.0"
Code that was used to get the results:
```py
from diffusers import DiffusionPipeline
import torch
pipe_low = DiffusionPipeline.from_pretrained("DeepFloyd/IF-I-XL-v1.0", safety_checker=None, watermarker=None, torch_dtype=torch.float16, variant="fp16")
pipe_low.enable_model_cpu... | diffusers-parti-prompts/if-v-1.0 | [
"region:us"
] | 2023-05-14T16:31:58+00:00 | {"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}, {"name": "Category", "dtype": "string"}, {"name": "Challenge", "dtype": "string"}, {"name": "Note", "dtype": "string"}, {"name": "images", "dtype": "image"}, {"name": "model_name", "dtype": "string"}, {"name": "seed", "dtype": "int64"}], "splits": [{... | 2023-05-17T15:51:08+00:00 | [] | [] | TAGS
#region-us
| # Images of Parti Prompts for "if-v-1.0"
Code that was used to get the results:
| [
"# Images of Parti Prompts for \"if-v-1.0\"\n\nCode that was used to get the results:"
] | [
"TAGS\n#region-us \n",
"# Images of Parti Prompts for \"if-v-1.0\"\n\nCode that was used to get the results:"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Images of Parti Prompts for \"if-v-1.0\"\n\nCode that was used to get the results:"
] |
b932998d5592d8166e1c2de3251037e2dac0567b | from datasets import load_dataset
dataset = load_dataset("lex_glue", "case_hold") | akorson/AKINTHECHI | [
"license:openrail",
"region:us"
] | 2023-05-14T17:30:08+00:00 | {"license": "openrail"} | 2023-05-14T17:32:13+00:00 | [] | [] | TAGS
#license-openrail #region-us
| from datasets import load_dataset
dataset = load_dataset("lex_glue", "case_hold") | [] | [
"TAGS\n#license-openrail #region-us \n"
] | [
12
] | [
"passage: TAGS\n#license-openrail #region-us \n"
] |
6ac7a081e11023c59e19bc09f5218236fa497a4d | # Dataset Card for "stamp-verification"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bilal01/stamp-verification | [
"region:us"
] | 2023-05-14T17:41:03+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1191542422.0, "num_examples": 60}], "download_size": 332235726, "dataset_size": 1191542422.0}} | 2023-05-14T17:41:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "stamp-verification"
More Information needed | [
"# Dataset Card for \"stamp-verification\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"stamp-verification\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"stamp-verification\"\n\nMore Information needed"
] |
4c3329a4bac705fb08ac0de13ff64a7e92279a64 | # Dataset Card for "rest23_sentiment_data_v3_oversampling"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | javilonso/rest23_sentiment_data_v3_oversampling | [
"doi:10.57967/hf/0675",
"region:us"
] | 2023-05-14T17:41:24+00:00 | {"dataset_info": {"features": [{"name": "Title", "dtype": "string"}, {"name": "Review", "dtype": "string"}, {"name": "Polarity", "dtype": "int64"}, {"name": "Country", "dtype": "int64"}, {"name": "Type", "dtype": "int64"}, {"name": "Title_Review", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "s... | 2023-05-14T17:43:10+00:00 | [] | [] | TAGS
#doi-10.57967/hf/0675 #region-us
| # Dataset Card for "rest23_sentiment_data_v3_oversampling"
More Information needed | [
"# Dataset Card for \"rest23_sentiment_data_v3_oversampling\"\n\nMore Information needed"
] | [
"TAGS\n#doi-10.57967/hf/0675 #region-us \n",
"# Dataset Card for \"rest23_sentiment_data_v3_oversampling\"\n\nMore Information needed"
] | [
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25
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"passage: TAGS\n#doi-10.57967/hf/0675 #region-us \n# Dataset Card for \"rest23_sentiment_data_v3_oversampling\"\n\nMore Information needed"
] |
fd376b0a8fadf1fd8e2a1752870a536cc371ed6f | # Dataset Card for "seq2seq-glue"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | carlosejimenez/seq2seq-glue | [
"region:us"
] | 2023-05-14T18:53:58+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "orig_idx", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 190089393, "num_examples": 949098}, {"name": "validation_cola", "num_bytes": 87041, "num_examples": 1043}, {"name": "test_cola", "n... | 2023-05-15T02:21:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "seq2seq-glue"
More Information needed | [
"# Dataset Card for \"seq2seq-glue\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"seq2seq-glue\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"seq2seq-glue\"\n\nMore Information needed"
] |
be1ae652c1133b8dc626fbc17a8d8652428b92fd | # Dataset Card for "coco_val2014_tiny"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | henryscheible/coco_val2014_tiny | [
"region:us"
] | 2023-05-14T19:03:00+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "captions", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 5874023.0, "num_examples": 40}], "download_size": 5861043, "dataset_size": 5874023.0}} | 2023-05-14T19:04:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "coco_val2014_tiny"
More Information needed | [
"# Dataset Card for \"coco_val2014_tiny\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"coco_val2014_tiny\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"coco_val2014_tiny\"\n\nMore Information needed"
] |
c154dc84202845f7f9ded1c125d6ea5d8615efc8 | <a href="https://twitter.com/">twitter</a>
<a rel="alternate" href="https://twitter.com/">twitter</a>
<a rel="next" href="https://twitter.com/">twitter</a>
<a rel="prev" href="https://twitter.com/">twitter</a>
<a rel="amphtml" href="https://twitter.com/">twitter</a>
<a rel="follow" href="https://twitter.com/">twitter</... | jurnu/f | [
"license:bigscience-openrail-m",
"region:us"
] | 2023-05-14T19:47:22+00:00 | {"license": "bigscience-openrail-m"} | 2023-05-14T19:47:41+00:00 | [] | [] | TAGS
#license-bigscience-openrail-m #region-us
| <a href="URL
<a rel="alternate" href="URL
<a rel="next" href="URL
<a rel="prev" href="URL
<a rel="amphtml" href="URL
<a rel="follow" href="URL
<a rel="author" href="URL
<a rel="bookmark" href="URL
<a rel="external" href="URL
<a rel="license" href="URL
<a rel="noreferrer" href="URL
<a rel="noopener" href="URL
<a rel="se... | [] | [
"TAGS\n#license-bigscience-openrail-m #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-bigscience-openrail-m #region-us \n"
] |
75d1fc7102d6af9c3b84d9bbb4c8cfe7373af92d | # Dataset Card for "VQAv2_testdev_final"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_testdev_final | [
"region:us"
] | 2023-05-14T19:53:43+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... | 2023-05-14T20:04:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_testdev_final"
More Information needed | [
"# Dataset Card for \"VQAv2_testdev_final\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_testdev_final\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_testdev_final\"\n\nMore Information needed"
] |
11e1f0b32cb2f0033a7e5329b08c38017eee7649 | # Dataset Card for "index-constituents-sp500"
## 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](... | edarchimbaud/perimeter-sp500 | [
"task_categories:tabular-classification",
"language:en",
"license:mit",
"region:us"
] | 2023-05-14T20:03:49+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["tabular-classification"], "dataset_info": {"features": [{"name": "symbol", "dtype": "string"}, {"name": "security", "dtype": "string"}, {"name": "gics_sector", "dtype": "string"}, {"name": "gics_sub_industry", "dtype": "string"}], "splits": [{"name": "train", ... | 2023-11-21T15:00:04+00:00 | [] | [
"en"
] | TAGS
#task_categories-tabular-classification #language-English #license-mit #region-us
| # Dataset Card for "index-constituents-sp500"
## 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
- Annota... | [
"# Dataset Card for \"index-constituents-sp500\"",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n -... | [
"TAGS\n#task_categories-tabular-classification #language-English #license-mit #region-us \n",
"# Dataset Card for \"index-constituents-sp500\"",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - D... | [
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"passage: TAGS\n#task_categories-tabular-classification #language-English #license-mit #region-us \n# Dataset Card for \"index-constituents-sp500\"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data... |
a422b91869053e300347c4e90a675d975f51d026 | # Dataset Card for "VQAv2_testdev"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_testdev | [
"region:us"
] | 2023-05-14T20:10:07+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... | 2023-05-14T21:46:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_testdev"
More Information needed | [
"# Dataset Card for \"VQAv2_testdev\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_testdev\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_testdev\"\n\nMore Information needed"
] |
1a849cec2f31b62aa1f95130ab0f49212c3d429d | # Images of Parti Prompts for "karlo-v1"
Code that was used to get the results:
```py
from diffusers import DiffusionPipeline
import torch
pipe = DiffusionPipeline.from_pretrained("kakaobrain/karlo-v1-alpha", torch_dtype=torch.float16)
pipe.to("cuda")
prompt = "" # a parti prompt
generator = torch.Generator("cuda")... | diffusers-parti-prompts/karlo-v1 | [
"region:us"
] | 2023-05-14T21:06:00+00:00 | {"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}, {"name": "Category", "dtype": "string"}, {"name": "Challenge", "dtype": "string"}, {"name": "Note", "dtype": "string"}, {"name": "images", "dtype": "image"}, {"name": "model_name", "dtype": "string"}, {"name": "seed", "dtype": "int64"}], "splits": [{... | 2023-05-17T15:49:02+00:00 | [] | [] | TAGS
#region-us
| # Images of Parti Prompts for "karlo-v1"
Code that was used to get the results:
| [
"# Images of Parti Prompts for \"karlo-v1\"\n\nCode that was used to get the results:"
] | [
"TAGS\n#region-us \n",
"# Images of Parti Prompts for \"karlo-v1\"\n\nCode that was used to get the results:"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Images of Parti Prompts for \"karlo-v1\"\n\nCode that was used to get the results:"
] |
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