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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ee30774451495a3c887219c7cb6b742172822274 | # Dataset Card for "common_language_preprocessed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jpbello/common_language_preprocessed | [
"region:us"
] | 2023-09-26T16:57:04+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "client_id", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "sen... | 2023-09-26T17:02:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "common_language_preprocessed"
More Information needed | [
"# Dataset Card for \"common_language_preprocessed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"common_language_preprocessed\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"common_language_preprocessed\"\n\nMore Information needed"
] |
b2c52dc0f03cf72df5f14d240de52506122fefd9 |
# Dataset of wakana_rei/和奏レイ (BanG Dream!)
This is the dataset of wakana_rei/和奏レイ (BanG Dream!), containing 66 images and their tags.
The core tags of this character are `blue_eyes, long_hair, black_hair, brown_hair, breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixi... | CyberHarem/wakana_rei_bangdream | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-26T17:10:31+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-15T18:11:04+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of wakana\_rei/和奏レイ (BanG Dream!)
=========================================
This is the dataset of wakana\_rei/和奏レイ (BanG Dream!), containing 66 images and their tags.
The core tags of this character are 'blue\_eyes, long\_hair, black\_hair, brown\_hair, breasts', which are pruned in this dataset.
Images ... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
44,
61,
5,
4
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\... |
8164188f7a37056bc5978e04de571f186ae9d656 |
# Dataset of asahi_rokka/朝日六花 (BanG Dream!)
This is the dataset of asahi_rokka/朝日六花 (BanG Dream!), containing 88 images and their tags.
The core tags of this character are `green_eyes, long_hair, bangs, blue_hair, hair_between_eyes, hair_ornament`, which are pruned in this dataset.
Images are crawled from many site... | CyberHarem/asahi_rokka_bangdream | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-26T17:12:30+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-15T17:59:15+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of asahi\_rokka/朝日六花 (BanG Dream!)
==========================================
This is the dataset of asahi\_rokka/朝日六花 (BanG Dream!), containing 88 images and their tags.
The core tags of this character are 'green\_eyes, long\_hair, bangs, blue\_hair, hair\_between\_eyes, hair\_ornament', which are pruned i... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
44,
61,
5,
4
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\... |
d3bfd6829b126825fc1533ee3eaff7c6b5bd57ff |
# Dataset of satou_masuki/佐藤ますき (BanG Dream!)
This is the dataset of satou_masuki/佐藤ますき (BanG Dream!), containing 62 images and their tags.
The core tags of this character are `blonde_hair, short_hair, yellow_eyes, bangs`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, z... | CyberHarem/satou_masuki_bangdream | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-26T17:26:57+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-15T18:33:12+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of satou\_masuki/佐藤ますき (BanG Dream!)
============================================
This is the dataset of satou\_masuki/佐藤ますき (BanG Dream!), containing 62 images and their tags.
The core tags of this character are 'blonde\_hair, short\_hair, yellow\_eyes, bangs', which are pruned in this dataset.
Images ar... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
44,
61,
5,
4
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\... |
5c28b030a44aa658f989fca58c151e5fbe6a1611 | # NEWS FR
There is an open-access [dataset on BnF / Gallica](https://transfert.bnf.fr/link/3a04ea3f-dbe8-4a4a-a302-913a89c3a7a8) comprising nearly a hundred newspapers from the print media spanning almost 100 years.
Unfortunately, for this dataset, only 85% of the text is transcribed accurately.
## DATASET
This datas... | eckendoerffer/news_fr | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:fr",
"license:cc-by-3.0",
"news",
"media",
"Press",
"region:us"
] | 2023-09-26T17:36:19+00:00 | {"language": ["fr"], "license": "cc-by-3.0", "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "tags": ["news", "media", "Press"]} | 2023-10-06T01:36:21+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-generation #size_categories-1M<n<10M #language-French #license-cc-by-3.0 #news #media #Press #region-us
| # NEWS FR
There is an open-access dataset on BnF / Gallica comprising nearly a hundred newspapers from the print media spanning almost 100 years.
Unfortunately, for this dataset, only 85% of the text is transcribed accurately.
## DATASET
This dataset compiles 1M online articles from nearly 100 Francophone media outle... | [
"# NEWS FR\nThere is an open-access dataset on BnF / Gallica comprising nearly a hundred newspapers from the print media spanning almost 100 years. \nUnfortunately, for this dataset, only 85% of the text is transcribed accurately.",
"## DATASET\nThis dataset compiles 1M online articles from nearly 100 Francophone... | [
"TAGS\n#task_categories-text-generation #size_categories-1M<n<10M #language-French #license-cc-by-3.0 #news #media #Press #region-us \n",
"# NEWS FR\nThere is an open-access dataset on BnF / Gallica comprising nearly a hundred newspapers from the print media spanning almost 100 years. \nUnfortunately, for this da... | [
50,
53,
102,
56,
64,
67,
48,
27,
68,
3,
34,
26,
76,
109
] | [
"passage: TAGS\n#task_categories-text-generation #size_categories-1M<n<10M #language-French #license-cc-by-3.0 #news #media #Press #region-us \n# NEWS FR\nThere is an open-access dataset on BnF / Gallica comprising nearly a hundred newspapers from the print media spanning almost 100 years. \nUnfortunately, for this... |
27cff3a9724d983ec935f7a56be44750f2feb57e | # Dataset Card for "hyggeswag"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sorenmulli/hyggeswag | [
"region:us"
] | 2023-09-26T17:44:27+00:00 | {"dataset_info": {"features": [{"name": "ctx", "dtype": "string"}, {"name": "option-0", "dtype": "string"}, {"name": "option-1", "dtype": "string"}, {"name": "option-2", "dtype": "string"}, {"name": "option-3", "dtype": "string"}, {"name": "correct", "dtype": "int64"}, {"name": "source_id", "dtype": "string"}, {"name":... | 2023-12-23T22:58:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hyggeswag"
More Information needed | [
"# Dataset Card for \"hyggeswag\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hyggeswag\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"hyggeswag\"\n\nMore Information needed"
] |
4807f81803097b27fc58c3e908b3dc95f90a5933 |
# Dataset Structure
This dataset contains images categorized into different classes for medical image analysis. The dataset is organized as follows:
- `CNV`: Contains 250 images and 250 w-vector files.
- `DME`: Contains 250 images and 250 w-vector files.
- `DRUSEN`: Contains 250 images and 250 w-vector files.
- `NOR... | marcelhuber/downprojection_images | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"language:en",
"medical",
"region:us"
] | 2023-09-26T17:45:45+00:00 | {"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["image-classification"], "pretty_name": "downprojection_images", "tags": ["medical"]} | 2023-09-26T17:58:57+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-classification #size_categories-1K<n<10K #language-English #medical #region-us
|
# Dataset Structure
This dataset contains images categorized into different classes for medical image analysis. The dataset is organized as follows:
- 'CNV': Contains 250 images and 250 w-vector files.
- 'DME': Contains 250 images and 250 w-vector files.
- 'DRUSEN': Contains 250 images and 250 w-vector files.
- 'NOR... | [
"# Dataset Structure\n\nThis dataset contains images categorized into different classes for medical image analysis. The dataset is organized as follows:\n\n- 'CNV': Contains 250 images and 250 w-vector files.\n- 'DME': Contains 250 images and 250 w-vector files.\n- 'DRUSEN': Contains 250 images and 250 w-vector fil... | [
"TAGS\n#task_categories-image-classification #size_categories-1K<n<10K #language-English #medical #region-us \n",
"# Dataset Structure\n\nThis dataset contains images categorized into different classes for medical image analysis. The dataset is organized as follows:\n\n- 'CNV': Contains 250 images and 250 w-vecto... | [
36,
104,
111
] | [
"passage: TAGS\n#task_categories-image-classification #size_categories-1K<n<10K #language-English #medical #region-us \n# Dataset Structure\n\nThis dataset contains images categorized into different classes for medical image analysis. The dataset is organized as follows:\n\n- 'CNV': Contains 250 images and 250 w-ve... |
7143410ef24a3012127d21ae6b07d2d392626ff4 | # Dataset Card for "uniref50_50-512"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lhallee/uniref50_50-512 | [
"region:us"
] | 2023-09-26T17:58:21+00:00 | {"dataset_info": {"features": [{"name": "uniref", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10696656442, "num_examples": 51521691}], "download_size": 10582703793, "dataset_size": 10696656442}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-26T18:14:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "uniref50_50-512"
More Information needed | [
"# Dataset Card for \"uniref50_50-512\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"uniref50_50-512\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"uniref50_50-512\"\n\nMore Information needed"
] |
78f87cee3758b0789c10049897260ed34b9b9bb5 |
# Dataset Card for "wikitext"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)... | mindchain/wikitext2 | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"languag... | 2023-09-26T18:13:23+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gfdl"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-mo... | 2023-09-26T18:13:55+00:00 | [
"1609.07843"
] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-cc-by-sa-3.0 #li... | Dataset Card for "wikitext"
===========================
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
+ Annotat... | [
"### Dataset Summary\n\n\nThe WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified\nGood and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License.\n\n\nCompared to the preprocessed version of Pe... | [
"TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-cc-by-sa-3... | [
134,
235,
10,
11,
6,
61,
59,
56,
54,
17,
21,
19,
21,
19,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
26,
34
] | [
"passage: TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-c... |
3494c273ebcb3b6bf169f1b75934efc301d7235c | # Dataset Card for "MetalDam_Train_Augmented_Cropped"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ironchanchellor/MetalDam_Train_Augmented_Cropped | [
"region:us"
] | 2023-09-26T18:15:42+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 405640603.... | 2023-09-26T18:39:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MetalDam_Train_Augmented_Cropped"
More Information needed | [
"# Dataset Card for \"MetalDam_Train_Augmented_Cropped\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"MetalDam_Train_Augmented_Cropped\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"MetalDam_Train_Augmented_Cropped\"\n\nMore Information needed"
] |
b892b472f19a4f0af61dbfdd0fe0fed4117a670f |
# YAGO 4.5 Dataset (English subset for LLM fine-tuning)
To utilize the YAGO 4.5 (EN) Dataset, users should ensure they have the following prerequisites installed:
### Software
- Python (Tested with 3.10)
- [Hugging Face Datasets
Library](https://huggingface.co/docs/datasets/): Required for loading and processing t... | wikipunk/yago45en | [
"task_categories:graph-ml",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"size_categories:100M<n<1B",
"source_datasets:wikidata",
"language:en",
"license:cc-by-sa-3.0",
"knowledge-graph",
"rdf",
"triples",
"region:us"
] | 2023-09-26T19:02:49+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": "cc-by-sa-3.0", "size_categories": ["100M<n<1B"], "source_datasets": ["wikidata"], "task_categories": ["graph-ml"], "pretty_name": "YAGO 4.5 (EN)", "license_link": "https://creativecommons.org/licenses/by-sa/3.0/", "tags": ["k... | 2023-09-28T15:37:11+00:00 | [] | [
"en"
] | TAGS
#task_categories-graph-ml #annotations_creators-crowdsourced #annotations_creators-expert-generated #size_categories-100M<n<1B #source_datasets-wikidata #language-English #license-cc-by-sa-3.0 #knowledge-graph #rdf #triples #region-us
|
# YAGO 4.5 Dataset (English subset for LLM fine-tuning)
To utilize the YAGO 4.5 (EN) Dataset, users should ensure they have the following prerequisites installed:
### Software
- Python (Tested with 3.10)
- Hugging Face Datasets
Library: Required for loading and processing the dataset.
### Hardware
* Sufficient... | [
"# YAGO 4.5 Dataset (English subset for LLM fine-tuning)\n\nTo utilize the YAGO 4.5 (EN) Dataset, users should ensure they have the following prerequisites installed:",
"### Software\n- Python (Tested with 3.10)\n- Hugging Face Datasets\n Library: Required for loading and processing the dataset.",
"### Hardwar... | [
"TAGS\n#task_categories-graph-ml #annotations_creators-crowdsourced #annotations_creators-expert-generated #size_categories-100M<n<1B #source_datasets-wikidata #language-English #license-cc-by-sa-3.0 #knowledge-graph #rdf #triples #region-us \n",
"# YAGO 4.5 Dataset (English subset for LLM fine-tuning)\n\nTo util... | [
89,
44,
33,
70,
160,
152,
80,
82,
46,
3,
29,
5,
42
] | [
"passage: TAGS\n#task_categories-graph-ml #annotations_creators-crowdsourced #annotations_creators-expert-generated #size_categories-100M<n<1B #source_datasets-wikidata #language-English #license-cc-by-sa-3.0 #knowledge-graph #rdf #triples #region-us \n# YAGO 4.5 Dataset (English subset for LLM fine-tuning)\n\nTo u... |
d53c5b10a77edeb29da195f47e6086b29f2f7f74 |
All rights and obligations of the dataset are with original authors of the paper/dataset. I have merely made it available on HuggingFace.
# Dataset Card Creation Guide
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Descript... | maveriq/bigbenchhard | [
"task_categories:question-answering",
"task_categories:token-classification",
"task_categories:text2text-generation",
"task_categories:text-classification",
"size_categories:n<1K",
"language:en",
"license:mit",
"arxiv:2210.09261",
"region:us"
] | 2023-09-26T19:05:20+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["question-answering", "token-classification", "text2text-generation", "text-classification"], "pretty_name": "Big Bench Hard"} | 2023-09-29T07:24:12+00:00 | [
"2210.09261"
] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-token-classification #task_categories-text2text-generation #task_categories-text-classification #size_categories-n<1K #language-English #license-mit #arxiv-2210.09261 #region-us
|
All rights and obligations of the dataset are with original authors of the paper/dataset. I have merely made it available on HuggingFace.
# Dataset Card Creation Guide
## Table of Contents
- Dataset Card Creation Guide
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Lea... | [
"# Dataset Card Creation Guide",
"## Table of Contents\n- Dataset Card Creation Guide\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 Crea... | [
"TAGS\n#task_categories-question-answering #task_categories-token-classification #task_categories-text2text-generation #task_categories-text-classification #size_categories-n<1K #language-English #license-mit #arxiv-2210.09261 #region-us \n",
"# Dataset Card Creation Guide",
"## Table of Contents\n- Dataset Car... | [
83,
7,
162,
16,
45,
940,
5,
6,
6,
19,
22,
48,
17
] | [
"passage: TAGS\n#task_categories-question-answering #task_categories-token-classification #task_categories-text2text-generation #task_categories-text-classification #size_categories-n<1K #language-English #license-mit #arxiv-2210.09261 #region-us \n# Dataset Card Creation Guide## Table of Contents\n- Dataset Card C... |
d535df7f14fd8dca1dcd1cb4a8d7be826602fc9d | # Dataset Card for "ru-kbd"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | anzorq/ru-kbd | [
"region:us"
] | 2023-09-26T19:31:58+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "translation", "struct": [{"name": "ru", "dtype": "string"}, {"name": "kbd", "dtype": "string"}]}], "splits": [{"name": "train", "num_byt... | 2023-09-28T18:54:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ru-kbd"
More Information needed | [
"# Dataset Card for \"ru-kbd\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ru-kbd\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ru-kbd\"\n\nMore Information needed"
] |
66089aab7dc8d874aab1c02e8a59e8f513c799c6 | # Dataset Card for "terra"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mhenrichsen/terra | [
"region:us"
] | 2023-09-26T19:39:26+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "timestamp", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num... | 2023-09-27T12:01:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "terra"
More Information needed | [
"# Dataset Card for \"terra\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"terra\"\n\nMore Information needed"
] | [
6,
11
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"terra\"\n\nMore Information needed"
] |
b0e2a3c6854f9cfcc4ef56c6f049b7eacb818c32 |
# Bangumi Image Base of Is The Order A Rabbit?
This is the image base of bangumi Is the Order a Rabbit?, we detected 33 characters, 7757 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manua... | BangumiBase/istheorderarabbit | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-09-26T20:01:22+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-09-29T11:27:40+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Is The Order A Rabbit?
============================================
This is the image base of bangumi Is the Order a Rabbit?, we detected 33 characters, 7757 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy a... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
b3126e82b0874446058b3018f4007d23b71b887d | # Dataset Card for "tictactoe_images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chirunder/tictactoe_images | [
"region:us"
] | 2023-09-26T20:14:42+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "winner", "dtype": "string"}, {"name": "is_valid", "dtype": "bool"}, {"name": "text", "dtype": "stri... | 2023-09-27T15:13:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tictactoe_images"
More Information needed | [
"# Dataset Card for \"tictactoe_images\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tictactoe_images\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"tictactoe_images\"\n\nMore Information needed"
] |
d031699f4ffc7bbc12662d948f3d98937f27c7d4 | # Dataset Card for "heroicons-captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yirenlu/heroicons-captions | [
"region:us"
] | 2023-09-26T20:49:24+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4270773.0, "num_examples": 292}], "download_size": 4220476, "dataset_size": 4270773.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "da... | 2023-09-26T21:39:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "heroicons-captions"
More Information needed | [
"# Dataset Card for \"heroicons-captions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"heroicons-captions\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"heroicons-captions\"\n\nMore Information needed"
] |
5c7f938993991dae3429693ba8f42dfa6603570f |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hug... | TarasHu/kjknk | [
"region:us"
] | 2023-09-26T21:02:27+00:00 | {} | 2023-09-26T21:21:57+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
### Supported Tasks and Leaderboards
### Languages
... | [
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:",
"### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"### Supported Tasks and Leaderb... | [
"TAGS\n#region-us \n",
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:",
"### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"### Su... | [
6,
8,
24,
32,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
5
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Dataset Name## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.### Supported Tasks a... |
621da8dd0621d91b276ab5a98e2cd28bf3f90d38 |
# Dataset Card for "scifact_entailment"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset Description
- **Homepage:** [https://scifact.apps.... | allenai/scifact_entailment | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-nc-2.0",
"region:us"
] | 2023-09-26T21:04:02+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-nc-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["fact-checking"], "paperswithcode... | 2023-09-27T04:00:41+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-nc-2.0 #region-us
| Dataset Card for "scifact\_entailment"
======================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
* Dataset Structure
+ Data Fields
+ Data Splits
Dataset Description
-------------------
* Homepage: URL
* Repository: <URL
* Paper: Fact or Fiction: Verify... | [
"### Dataset Summary\n\n\nSciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales.\n\n\nFor more information on the dataset, see allenai/scifact.\nThis has the same data, but reformatted as an entailment task. A single instance ... | [
"TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-nc-2.0 #region-us \n",
"### Dataset Summary\n\n\nSciFact, a dataset ... | [
91,
115,
128,
5
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-nc-2.0 #region-us \n### Dataset Summary\n\n\nSciFact, a datas... |
fdb1e4ca2828fb4878b95a9e53967c0f4fe20fab | # Dataset Card for "d2p_testp2d_2mcq"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | augtoma/d2p_testp2d_2mcq | [
"region:us"
] | 2023-09-26T21:09:07+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "options", "sequence": "string"}, {"name": "correct_answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 89595, "num_exam... | 2023-09-26T21:09:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "d2p_testp2d_2mcq"
More Information needed | [
"# Dataset Card for \"d2p_testp2d_2mcq\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"d2p_testp2d_2mcq\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"d2p_testp2d_2mcq\"\n\nMore Information needed"
] |
2adc0155e4a4343a2eaaefeeb13f157789f7408f | # Dataset Card for "d2p_validation_4mcq"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | augtoma/d2p_validation_4mcq | [
"region:us"
] | 2023-09-26T21:09:23+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "options", "sequence": "string"}, {"name": "correct_answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 62934, "num_exam... | 2023-09-26T21:09:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "d2p_validation_4mcq"
More Information needed | [
"# Dataset Card for \"d2p_validation_4mcq\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"d2p_validation_4mcq\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"d2p_validation_4mcq\"\n\nMore Information needed"
] |
f00ab4343476313c63cdd9a2aae6ad648fa26504 |
# Dataset Card for "sales-conversations-2"
# Dataset Card for "sales-conversations"
This dataset was created for the purpose of training a sales agent chatbot that can convince people.
The initial idea came from: textbooks is all you need https://arxiv.org/abs/2306.11644
gpt-3.5-turbo was used for the generation
... | goendalf666/sales-conversations-2 | [
"arxiv:2306.11644",
"region:us"
] | 2023-09-26T21:23:29+00:00 | {"dataset_info": {"features": [{"name": "0", "dtype": "string"}, {"name": "1", "dtype": "string"}, {"name": "2", "dtype": "string"}, {"name": "3", "dtype": "string"}, {"name": "4", "dtype": "string"}, {"name": "5", "dtype": "string"}, {"name": "6", "dtype": "string"}, {"name": "7", "dtype": "string"}, {"name": "8", "dt... | 2023-10-04T19:46:03+00:00 | [
"2306.11644"
] | [] | TAGS
#arxiv-2306.11644 #region-us
|
# Dataset Card for "sales-conversations-2"
# Dataset Card for "sales-conversations"
This dataset was created for the purpose of training a sales agent chatbot that can convince people.
The initial idea came from: textbooks is all you need URL
gpt-3.5-turbo was used for the generation
See the main model or github ... | [
"# Dataset Card for \"sales-conversations-2\"",
"# Dataset Card for \"sales-conversations\"\nThis dataset was created for the purpose of training a sales agent chatbot that can convince people.\n\nThe initial idea came from: textbooks is all you need URL\n\ngpt-3.5-turbo was used for the generation\n\nSee the mai... | [
"TAGS\n#arxiv-2306.11644 #region-us \n",
"# Dataset Card for \"sales-conversations-2\"",
"# Dataset Card for \"sales-conversations\"\nThis dataset was created for the purpose of training a sales agent chatbot that can convince people.\n\nThe initial idea came from: textbooks is all you need URL\n\ngpt-3.5-turbo... | [
14,
14,
80,
50,
53
] | [
"passage: TAGS\n#arxiv-2306.11644 #region-us \n# Dataset Card for \"sales-conversations-2\"# Dataset Card for \"sales-conversations\"\nThis dataset was created for the purpose of training a sales agent chatbot that can convince people.\n\nThe initial idea came from: textbooks is all you need URL\n\ngpt-3.5-turbo wa... |
54139d35750d8e44a93c758655fc147142d6de73 |
This is a dataset of image generating prompts containing objects and quantifiers such as:
`2 cell phones and 1 oven and 2 remotes`
The objects were a subset of 10 random objects taken from the COCO dataset of 80-1 (79 classes): https://docs.ultralytics.com/datasets/detect/coco/#dataset-yaml
`mini_prompts.txt` conta... | semaj83/ioqm | [
"license:mit",
"region:us"
] | 2023-09-26T21:24:44+00:00 | {"license": "mit", "viewer": false} | 2023-10-15T15:47:34+00:00 | [] | [] | TAGS
#license-mit #region-us
|
This is a dataset of image generating prompts containing objects and quantifiers such as:
'2 cell phones and 1 oven and 2 remotes'
The objects were a subset of 10 random objects taken from the COCO dataset of 80-1 (79 classes): URL
'mini_prompts.txt' contains the prompts, ~16k strings with 1-3 objects per image, 1-... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
d79ef8fa5baaf2182735609f68127696c6e6d302 | # Dataset Card for "682ad26c"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-muse256-muse512-wuerst-sdv15/682ad26c | [
"region:us"
] | 2023-09-26T21:29:47+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 223, "num_examples": 10}], "download_size": 1431, "dataset_size": 223}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-26T21:29:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "682ad26c"
More Information needed | [
"# Dataset Card for \"682ad26c\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"682ad26c\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"682ad26c\"\n\nMore Information needed"
] |
141cb9bcf4c6a54c8f224c888d7c1e7d303b68ca | # Dataset Card for "02511ac7"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/02511ac7 | [
"region:us"
] | 2023-09-26T21:38:28+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 187, "num_examples": 10}], "download_size": 1369, "dataset_size": 187}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-26T21:38:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "02511ac7"
More Information needed | [
"# Dataset Card for \"02511ac7\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"02511ac7\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"02511ac7\"\n\nMore Information needed"
] |
c942986f53e89e786eab061885a831ac0af0d9b4 | # Dataset Card for "Dubai_dataset-Aerial_Imagery"
## About Dataset
### Context
Humans in the Loop is publishing an open access dataset annotated for a joint project with the Mohammed Bin Rashid Space Center in Dubai, the UAE.
## Content
The dataset consists of aerial imagery of Dubai obtained by MBRSC satellites and... | ayoubkirouane/Dubai_dataset-Aerial_Imagery_Vc | [
"region:us"
] | 2023-09-26T21:41:18+00:00 | {"pretty_name": "a", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 33524394, "num_examples": 72}], "download_size": 32535973, "dataset_size": 33524394}, "configs": [{"config_name": "default", "data_files": [{"split": "t... | 2023-09-27T13:16:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Dubai_dataset-Aerial_Imagery"
## About Dataset
### Context
Humans in the Loop is publishing an open access dataset annotated for a joint project with the Mohammed Bin Rashid Space Center in Dubai, the UAE.
## Content
The dataset consists of aerial imagery of Dubai obtained by MBRSC satellites and... | [
"# Dataset Card for \"Dubai_dataset-Aerial_Imagery\"",
"## About Dataset",
"### Context\nHumans in the Loop is publishing an open access dataset annotated for a joint project with the Mohammed Bin Rashid Space Center in Dubai, the UAE.",
"## Content\n\nThe dataset consists of aerial imagery of Dubai obtained ... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Dubai_dataset-Aerial_Imagery\"",
"## About Dataset",
"### Context\nHumans in the Loop is publishing an open access dataset annotated for a joint project with the Mohammed Bin Rashid Space Center in Dubai, the UAE.",
"## Content\n\nThe dataset consists of aerial i... | [
6,
19,
4,
38,
120,
23,
8
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Dubai_dataset-Aerial_Imagery\"## About Dataset### Context\nHumans in the Loop is publishing an open access dataset annotated for a joint project with the Mohammed Bin Rashid Space Center in Dubai, the UAE.## Content\n\nThe dataset consists of aerial imagery of Dubai... |
53ba1764aaf9dfa3674448c5bfd731e10d928ae6 | # Dataset Card for "school_math_0.25m-zhtw"
## 原始資料集來源
本資料集的原始來源: [BelleGroup/school_math_0.25M](https://huggingface.co/datasets/BelleGroup/school_math_0.25M)
## 內容
包含約25萬條由[BELLE](https://github.com/LianjiaTech/BELLE)項目產生的中文數學題數據，包含解題過程。
注意：此資料集是由ChatGPT產生的，未經嚴格校驗，問題或解題過程可能包含錯誤。使用過程中請注意這一點。
## 範例
```
{
"instru... | erhwenkuo/school_math_0.25m-zhtw | [
"task_categories:text2text-generation",
"size_categories:100K<n<1M",
"language:zh",
"license:gpl-3.0",
"region:us"
] | 2023-09-26T21:51:08+00:00 | {"language": ["zh"], "license": "gpl-3.0", "size_categories": ["100K<n<1M"], "task_categories": ["text2text-generation"], "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1218... | 2023-09-26T22:00:32+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text2text-generation #size_categories-100K<n<1M #language-Chinese #license-gpl-3.0 #region-us
| # Dataset Card for "school_math_0.25m-zhtw"
## 原始資料集來源
本資料集的原始來源: BelleGroup/school_math_0.25M
## 內容
包含約25萬條由BELLE項目產生的中文數學題數據，包含解題過程。
注意：此資料集是由ChatGPT產生的，未經嚴格校驗，問題或解題過程可能包含錯誤。使用過程中請注意這一點。
## 範例
### 欄位
## 限制和使用限制
我們要求開發者僅將我們開源的程式碼、資料、模型及後續衍生物用於研究目的，不得用於商業，以及其他會對社會帶來危害的用途。
由於數據是由 *ChatGPT* 產生的，未經嚴格驗證，在事實性和其... | [
"# Dataset Card for \"school_math_0.25m-zhtw\"",
"## 原始資料集來源\n\n本資料集的原始來源: BelleGroup/school_math_0.25M",
"## 內容\n包含約25萬條由BELLE項目產生的中文數學題數據，包含解題過程。\n\n注意：此資料集是由ChatGPT產生的，未經嚴格校驗，問題或解題過程可能包含錯誤。使用過程中請注意這一點。",
"## 範例",
"### 欄位",
"## 限制和使用限制\n我們要求開發者僅將我們開源的程式碼、資料、模型及後續衍生物用於研究目的，不得用於商業，以及其他會對社會帶來危害的用途。\n\n由於數據... | [
"TAGS\n#task_categories-text2text-generation #size_categories-100K<n<1M #language-Chinese #license-gpl-3.0 #region-us \n",
"# Dataset Card for \"school_math_0.25m-zhtw\"",
"## 原始資料集來源\n\n本資料集的原始來源: BelleGroup/school_math_0.25M",
"## 內容\n包含約25萬條由BELLE項目產生的中文數學題數據，包含解題過程。\n\n注意：此資料集是由ChatGPT產生的，未經嚴格校驗，問題或解題過程可能... | [
44,
17,
23,
60,
4,
5,
133,
6,
77,
3,
4,
158
] | [
"passage: TAGS\n#task_categories-text2text-generation #size_categories-100K<n<1M #language-Chinese #license-gpl-3.0 #region-us \n# Dataset Card for \"school_math_0.25m-zhtw\"## 原始資料集來源\n\n本資料集的原始來源: BelleGroup/school_math_0.25M## 內容\n包含約25萬條由BELLE項目產生的中文數學題數據，包含解題過程。\n\n注意：此資料集是由ChatGPT產生的，未經嚴格校驗，問題或解題過程可能包含錯誤。使用過程... |
c279611d315f7980c05fb5a4156f3b3619f771c6 | # Dataset Card for "Instruct-Recharts-750-v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Brandoko/Instruct-Recharts-v1 | [
"region:us"
] | 2023-09-26T22:21:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 359930, "num_... | 2023-09-26T22:21:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Instruct-Recharts-750-v1"
More Information needed | [
"# Dataset Card for \"Instruct-Recharts-750-v1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Instruct-Recharts-750-v1\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Instruct-Recharts-750-v1\"\n\nMore Information needed"
] |
33393c7ab2622512d627bd3c3af08ff6d1e4b76f | # Dataset Card for "16193144"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/16193144 | [
"region:us"
] | 2023-09-26T22:48:45+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 169, "num_examples": 10}], "download_size": 1324, "dataset_size": 169}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-26T22:48:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "16193144"
More Information needed | [
"# Dataset Card for \"16193144\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"16193144\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"16193144\"\n\nMore Information needed"
] |
621218590d4688a35ce28fd7db94ce2024e670a3 | # Dataset Card for "c2696aec"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/c2696aec | [
"region:us"
] | 2023-09-26T22:48:54+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 169, "num_examples": 10}], "download_size": 1324, "dataset_size": 169}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-26T22:48:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "c2696aec"
More Information needed | [
"# Dataset Card for \"c2696aec\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"c2696aec\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"c2696aec\"\n\nMore Information needed"
] |
d89e955c8a31f287771dcd3901d077a76de41cff | # Dataset Card for "genre_dataset_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | charlieoneill/genre_dataset_train | [
"region:us"
] | 2023-09-26T22:49:04+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "labels", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 5268557, "num_examples": 6743}], "download_size": 3656417, "dataset_size": 5268557}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data... | 2023-09-26T22:49:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "genre_dataset_train"
More Information needed | [
"# Dataset Card for \"genre_dataset_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"genre_dataset_train\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"genre_dataset_train\"\n\nMore Information needed"
] |
a7e4fd43f51a82af3fe5b745f21d80f80cdfbac7 | # Dataset Card for "USYllmblue"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shariqfarooq/USYllmblue | [
"region:us"
] | 2023-09-26T23:08:05+00:00 | {"dataset_info": {"features": [{"name": "gligen", "dtype": "image"}, {"name": "layoutgpt", "dtype": "image"}, {"name": "llmgrounded", "dtype": "image"}, {"name": "ours", "dtype": "image"}, {"name": "stablediffusion", "dtype": "image"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9... | 2023-09-26T23:10:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "USYllmblue"
More Information needed | [
"# Dataset Card for \"USYllmblue\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"USYllmblue\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"USYllmblue\"\n\nMore Information needed"
] |
581ae032eaa57ce872e782daaad5816c570f68b6 | # Dataset Card for "train_3.5m-zhtw"
## 内容
包含約 350 萬條由 [BELLE](https://github.com/LianjiaTech/BELLE) 計畫產生的中文指令資料。
## 範例
```
{
"id":"66623028",
"conversations":[
{
"from":"human",
"value":"歸納介紹三種不同類型的電影專題"
},
{
"from":"assistant",
"value"... | erhwenkuo/train_3.5m-zhtw | [
"task_categories:text2text-generation",
"size_categories:1M<n<10M",
"language:zh",
"region:us"
] | 2023-09-26T23:40:14+00:00 | {"language": ["zh"], "size_categories": ["1M<n<10M"], "task_categories": ["text2text-generation"], "dataset_info": {"features": [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4... | 2023-09-27T12:42:45+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text2text-generation #size_categories-1M<n<10M #language-Chinese #region-us
| # Dataset Card for "train_3.5m-zhtw"
## 内容
包含約 350 萬條由 BELLE 計畫產生的中文指令資料。
## 範例
### 欄位：
### 補充：
針對此資料集，新增了指令類別字段，共包括13個類別，詳情見
train_3.5M_CN_With_Category
## 使用限制
僅允許將此資料集及使用此資料集產生的衍生物用於研究目的，不得用於商業，以及其他會對社會帶來危害的用途。
本資料集不代表任何一方的立場、利益或想法，無關任何團體的任何類型的主張。因使用本資料集所帶來的任何損害、糾紛，本專案不承擔任何責任。
| [
"# Dataset Card for \"train_3.5m-zhtw\"",
"## 内容\n包含約 350 萬條由 BELLE 計畫產生的中文指令資料。",
"## 範例",
"### 欄位：",
"### 補充：\n針對此資料集，新增了指令類別字段，共包括13個類別，詳情見\ntrain_3.5M_CN_With_Category",
"## 使用限制\n僅允許將此資料集及使用此資料集產生的衍生物用於研究目的，不得用於商業，以及其他會對社會帶來危害的用途。\n本資料集不代表任何一方的立場、利益或想法，無關任何團體的任何類型的主張。因使用本資料集所帶來的任何損害、糾紛，本專案不承擔任何責任。"
] | [
"TAGS\n#task_categories-text2text-generation #size_categories-1M<n<10M #language-Chinese #region-us \n",
"# Dataset Card for \"train_3.5m-zhtw\"",
"## 内容\n包含約 350 萬條由 BELLE 計畫產生的中文指令資料。",
"## 範例",
"### 欄位：",
"### 補充：\n針對此資料集，新增了指令類別字段，共包括13個類別，詳情見\ntrain_3.5M_CN_With_Category",
"## 使用限制\n僅允許將此資料集及使用此資料集... | [
36,
15,
21,
4,
6,
38,
82
] | [
"passage: TAGS\n#task_categories-text2text-generation #size_categories-1M<n<10M #language-Chinese #region-us \n# Dataset Card for \"train_3.5m-zhtw\"## 内容\n包含約 350 萬條由 BELLE 計畫產生的中文指令資料。## 範例### 欄位：### 補充：\n針對此資料集，新增了指令類別字段，共包括13個類別，詳情見\ntrain_3.5M_CN_With_Category## 使用限制\n僅允許將此資料集及使用此資料集產生的衍生物用於研究目的，不得用於商業，以及其他會對社... |
3d61b6c2cf6172f0a571a120be464ef39f6f700d | # Dataset Card for "humanAIMixEva500k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | stealthwriter/humanAIMixEva500k | [
"region:us"
] | 2023-09-26T23:48:00+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "sentence_length", "dtype": "int64"}], "splits": [{... | 2023-09-26T23:48:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "humanAIMixEva500k"
More Information needed | [
"# Dataset Card for \"humanAIMixEva500k\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"humanAIMixEva500k\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"humanAIMixEva500k\"\n\nMore Information needed"
] |
4c918d41e8353f745703d99ca0710abb6cec03d2 | # Dataset Card for "2af00e50"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/2af00e50 | [
"region:us"
] | 2023-09-27T01:03:14+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 206, "num_examples": 10}], "download_size": 1404, "dataset_size": 206}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-27T01:03:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "2af00e50"
More Information needed | [
"# Dataset Card for \"2af00e50\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"2af00e50\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"2af00e50\"\n\nMore Information needed"
] |
1ecaa1e909a05643eab0f11d5f846d9db7dbec28 | # Dataset Card for "043bd500"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/043bd500 | [
"region:us"
] | 2023-09-27T01:37:29+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 164, "num_examples": 10}], "download_size": 1319, "dataset_size": 164}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-27T01:37:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "043bd500"
More Information needed | [
"# Dataset Card for \"043bd500\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"043bd500\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"043bd500\"\n\nMore Information needed"
] |
ed37f0f7ccd2b7d8be5a84fa0d4cb8b1057a74cb | # Dataset Card for "812b079e"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/812b079e | [
"region:us"
] | 2023-09-27T01:37:31+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 164, "num_examples": 10}], "download_size": 1319, "dataset_size": 164}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-27T01:37:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "812b079e"
More Information needed | [
"# Dataset Card for \"812b079e\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"812b079e\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"812b079e\"\n\nMore Information needed"
] |
ef91a1a0e3441557fd9e51b8af23f7398d9334b0 |
# CSL 中文科學論文摘要資料集
資料來源: https://github.com/ydli-ai/CSL | p208p2002/csl-1.8G | [
"language:zh",
"region:us"
] | 2023-09-27T01:54:01+00:00 | {"language": ["zh"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "csl.jsonl"}]}]} | 2023-09-27T03:28:27+00:00 | [] | [
"zh"
] | TAGS
#language-Chinese #region-us
|
# CSL 中文科學論文摘要資料集
資料來源: URL | [
"# CSL 中文科學論文摘要資料集\n資料來源: URL"
] | [
"TAGS\n#language-Chinese #region-us \n",
"# CSL 中文科學論文摘要資料集\n資料來源: URL"
] | [
11,
15
] | [
"passage: TAGS\n#language-Chinese #region-us \n# CSL 中文科學論文摘要資料集\n資料來源: URL"
] |
0b63d4f5074db18123b0f6fb69d09b4ca499522b | # Dataset Card for "autotree_automl_MiniBooNE_gosdt_l256_d3_sd0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yzhuang/autotree_automl_MiniBooNE_gosdt_l256_d3_sd0 | [
"region:us"
] | 2023-09-27T02:09:31+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "input_x", "sequence": {"sequence": "float64"}}, {"name": "input_y", "sequence": {"sequence": "float32"}}, {"name": "rtg", "sequence": "float64"}, {"name": "status", "sequence": {"sequence": "float32"}}, {"name": "split_threshold", "sequence": {"... | 2023-09-27T02:13:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "autotree_automl_MiniBooNE_gosdt_l256_d3_sd0"
More Information needed | [
"# Dataset Card for \"autotree_automl_MiniBooNE_gosdt_l256_d3_sd0\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"autotree_automl_MiniBooNE_gosdt_l256_d3_sd0\"\n\nMore Information needed"
] | [
6,
33
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"autotree_automl_MiniBooNE_gosdt_l256_d3_sd0\"\n\nMore Information needed"
] |
01142810e4828c3214e6546a99591b56c61f0b90 | # Dataset Card for "github-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | GuZhangyuan/github-issues | [
"region:us"
] | 2023-09-27T02:17:28+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "repository_url", "dtype": "string"}, {"name": "labels_url", "dtype": "string"}, {"name": "comments_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "int64"}, ... | 2023-09-27T02:17:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "github-issues"
More Information needed | [
"# Dataset Card for \"github-issues\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"github-issues\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"github-issues\"\n\nMore Information needed"
] |
3dc15d38107b45abea0d0292b98f6f9cae0bdbde | # Dataset Card for "pubmed_subset_wiki_2p"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zxvix/pubmed_subset_wiki_2p | [
"region:us"
] | 2023-09-27T02:27:38+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2906070837.647366, "num_examples": 1020570}, {"name": "test", "num... | 2023-09-27T02:28:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pubmed_subset_wiki_2p"
More Information needed | [
"# Dataset Card for \"pubmed_subset_wiki_2p\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pubmed_subset_wiki_2p\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pubmed_subset_wiki_2p\"\n\nMore Information needed"
] |
a0a0c1c245196ad4282f29292fdc9fd3ce91e13c | # AutoTrain Dataset for project: full-dfsep23-xlmrobbase
## Dataset Description
This dataset has been automatically processed by AutoTrain for project full-dfsep23-xlmrobbase.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks... | sxandie/data-full-df-sep23-xlmrobbase | [
"task_categories:token-classification",
"region:us"
] | 2023-09-27T02:44:17+00:00 | {"task_categories": ["token-classification"]} | 2023-10-05T18:33:46+00:00 | [] | [] | TAGS
#task_categories-token-classification #region-us
| AutoTrain Dataset for project: full-dfsep23-xlmrobbase
======================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project full-dfsep23-xlmrobbase.
### Languages
The BCP-47 code for the dataset's language is unk.
... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
"TAGS\n#task_categories-token-classification #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields ... | [
18,
27,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-token-classification #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also cal... |
52d30ad9b9e8a3d0044636560f476431b22b689f | # Dataset Card for "microstructure_porosity_periodic"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zche318/microstructure_porosity_periodic | [
"region:us"
] | 2023-09-27T02:53:04+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1924418.0, "num_examples": 680}], "download_size": 1931686, "dataset_si... | 2023-09-27T02:53:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "microstructure_porosity_periodic"
More Information needed | [
"# Dataset Card for \"microstructure_porosity_periodic\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"microstructure_porosity_periodic\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"microstructure_porosity_periodic\"\n\nMore Information needed"
] |
da27457bd226a29d0e0dd9be9cffd5204faee80d | # Dataset Card for "code_text_classification"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | JeswinMS4/code_text_classification | [
"region:us"
] | 2023-09-27T03:07:57+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "Label", "dtype": "string"}, {"name": "__i... | 2023-09-27T03:08:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "code_text_classification"
More Information needed | [
"# Dataset Card for \"code_text_classification\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"code_text_classification\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"code_text_classification\"\n\nMore Information needed"
] |
f103c1a935960516502cf2f38923d2604671bd76 | # Natural Language to Docker Command Dataset
This dataset is designed to translate natural language instructions into Docker commands. It contains mappings of textual phrases to corresponding Docker commands, aiding in the development of models capable of understanding and translating user requests into executable Doc... | MattCoddity/dockerNLcommands | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-09-27T03:21:12+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"]} | 2023-10-06T07:35:01+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
| # Natural Language to Docker Command Dataset
This dataset is designed to translate natural language instructions into Docker commands. It contains mappings of textual phrases to corresponding Docker commands, aiding in the development of models capable of understanding and translating user requests into executable Doc... | [
"# Natural Language to Docker Command Dataset\n\nThis dataset is designed to translate natural language instructions into Docker commands. It contains mappings of textual phrases to corresponding Docker commands, aiding in the development of models capable of understanding and translating user requests into executa... | [
"TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n",
"# Natural Language to Docker Command Dataset\n\nThis dataset is designed to translate natural language instructions into Docker commands. It contains mappings of textual phrases to corresp... | [
42,
69,
71,
6,
53,
24,
40
] | [
"passage: TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n# Natural Language to Docker Command Dataset\n\nThis dataset is designed to translate natural language instructions into Docker commands. It contains mappings of textual phrases to corr... |
08c7b2d87f11b1fc1936497f306ed209642caefb | # Dataset Card for "c9242d3b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/c9242d3b | [
"region:us"
] | 2023-09-27T03:27:01+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 220, "num_examples": 10}], "download_size": 1395, "dataset_size": 220}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-27T03:27:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "c9242d3b"
More Information needed | [
"# Dataset Card for \"c9242d3b\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"c9242d3b\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"c9242d3b\"\n\nMore Information needed"
] |
3367b474523b6284667d46f753bb0ee1340e6729 | 6,643,902 chess games from the Lichess Open Database (https://database.lichess.org/#standard_games) that meet the following criteria:
1. At least one player with ELO>=2,000
2. Rated Classical game mode
3. Normal termination
4. Result of 0-1 or 1-0 (no ties) | vllg/lichess_classic_2000 | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:en",
"license:cc",
"chess",
"region:us"
] | 2023-09-27T04:00:35+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "tags": ["chess"]} | 2023-09-27T04:44:38+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-1M<n<10M #language-English #license-cc #chess #region-us
| 6,643,902 chess games from the Lichess Open Database (URL that meet the following criteria:
1. At least one player with ELO>=2,000
2. Rated Classical game mode
3. Normal termination
4. Result of 0-1 or 1-0 (no ties) | [] | [
"TAGS\n#task_categories-text-generation #size_categories-1M<n<10M #language-English #license-cc #chess #region-us \n"
] | [
41
] | [
"passage: TAGS\n#task_categories-text-generation #size_categories-1M<n<10M #language-English #license-cc #chess #region-us \n"
] |
794a50a4c9bc71e7cee9fe35aea25d487e95b926 | # Dataset Card for "tiny-cot-hermes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | artificial-citizen/tiny-cot-alpaca | [
"region:us"
] | 2023-09-27T04:19:21+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 999663185, "num_examples": 599093}], "download_size": 609742524, "dataset_size": ... | 2023-09-27T04:19:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tiny-cot-hermes"
More Information needed | [
"# Dataset Card for \"tiny-cot-hermes\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tiny-cot-hermes\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"tiny-cot-hermes\"\n\nMore Information needed"
] |
e9e0fbcd14e750705d7d7b98cc6cf07263e0f3b2 | # Dataset Card for "natural_images_small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kewu93/natural_images_small | [
"region:us"
] | 2023-09-27T04:42:20+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2325900.3395232814, "num_examples": 50}], "download_size": 2333116, ... | 2023-09-27T04:42:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "natural_images_small"
More Information needed | [
"# Dataset Card for \"natural_images_small\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"natural_images_small\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"natural_images_small\"\n\nMore Information needed"
] |
beea75460fefce66296727a0d39e932cbf0b9b13 | # Dataset Card for "whisper-hi-preprocessed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | makaveli10/whisper-hi-preprocessed | [
"region:us"
] | 2023-09-27T04:51:06+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "input_length", "dtype": "float64"}, {"name": "labels", "sequence": "int... | 2023-09-27T20:50:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "whisper-hi-preprocessed"
More Information needed | [
"# Dataset Card for \"whisper-hi-preprocessed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"whisper-hi-preprocessed\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"whisper-hi-preprocessed\"\n\nMore Information needed"
] |
598650ccdefc2f1813bf5fadeb07a85aae0ede78 | # Dataset Card for "cc93a78b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/cc93a78b | [
"region:us"
] | 2023-09-27T05:17:24+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 239, "num_examples": 10}], "download_size": 1420, "dataset_size": 239}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-27T05:17:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cc93a78b"
More Information needed | [
"# Dataset Card for \"cc93a78b\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cc93a78b\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cc93a78b\"\n\nMore Information needed"
] |
520eb46b25317ef45a7c032375b5c1566ca357ef | # Dataset Card for "Ecommerce_FAQ_chatbot_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Prabhjot410/Ecommerce_FAQ_chatbot_dataset | [
"region:us"
] | 2023-09-27T05:23:46+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19820, "num_examples": 158}], "download_size": 8754, "dataset_size": 19820}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-28T05:43:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Ecommerce_FAQ_chatbot_dataset"
More Information needed | [
"# Dataset Card for \"Ecommerce_FAQ_chatbot_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Ecommerce_FAQ_chatbot_dataset\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Ecommerce_FAQ_chatbot_dataset\"\n\nMore Information needed"
] |
9322d9858f3fbc355a6d5c532b160ef3b596455c | # Dataset Card for "NFT-70M_text"
## Dataset summary
The *NFT-70M_text* dataset is a companion for our released [**NFT-70M_transactions**](https://huggingface.co/datasets/MLNTeam-Unical/NFT-70M_transactions) dataset,
which is the largest and most up-to-date collection of Non-Fungible Tokens (NFT) transactions betwe... | MLNTeam-Unical/NFT-70M_text | [
"task_categories:time-series-forecasting",
"task_categories:text-classification",
"task_categories:feature-extraction",
"task_categories:text-generation",
"task_categories:zero-shot-classification",
"task_categories:text2text-generation",
"task_categories:sentence-similarity",
"task_categories:image-c... | 2023-09-27T05:25:55+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "size_categories": ["10M<n<100M"], "task_categories": ["time-series-forecasting", "text-classification", "feature-extraction", "text-generation", "zero-shot-classification", "text2text-generation", "sentence-similarity", "image-classification", "image-to-text", "text-to-i... | 2023-09-28T14:33:32+00:00 | [] | [
"en"
] | TAGS
#task_categories-time-series-forecasting #task_categories-text-classification #task_categories-feature-extraction #task_categories-text-generation #task_categories-zero-shot-classification #task_categories-text2text-generation #task_categories-sentence-similarity #task_categories-image-classification #task_categor... | # Dataset Card for "NFT-70M_text"
## Dataset summary
The *NFT-70M_text* dataset is a companion for our released NFT-70M_transactions dataset,
which is the largest and most up-to-date collection of Non-Fungible Tokens (NFT) transactions between 2021 and 2023 sourced from OpenSea.
As we also reported in the "Data ... | [
"# Dataset Card for \"NFT-70M_text\"",
"## Dataset summary\nThe *NFT-70M_text* dataset is a companion for our released NFT-70M_transactions dataset, \nwhich is the largest and most up-to-date collection of Non-Fungible Tokens (NFT) transactions between 2021 and 2023 sourced from OpenSea. \n\nAs we also reported i... | [
"TAGS\n#task_categories-time-series-forecasting #task_categories-text-classification #task_categories-feature-extraction #task_categories-text-generation #task_categories-zero-shot-classification #task_categories-text2text-generation #task_categories-sentence-similarity #task_categories-image-classification #task_c... | [
188,
13,
163,
96,
242
] | [
"passage: TAGS\n#task_categories-time-series-forecasting #task_categories-text-classification #task_categories-feature-extraction #task_categories-text-generation #task_categories-zero-shot-classification #task_categories-text2text-generation #task_categories-sentence-similarity #task_categories-image-classificatio... |
17dd5a075838675c53e42c62d55a602d0c80dfe1 | ANGO is A Novel Generation-Oriented Chinese LLM evaluation benchmark.
We introduces the format of single-question multiple-keypoints dataset for the first time, which include 171 keypoints accumulated in 4 hierarchical levels and 9 difficulty categories.
The data were exclusively obtained from the Administrative Prof... | AngoHF/ANGO-S1 | [
"task_categories:question-answering",
"task_categories:text2text-generation",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:zh",
"license:llama2",
"region:us"
] | 2023-09-27T05:31:11+00:00 | {"language": ["zh"], "license": "llama2", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering", "text2text-generation", "text-generation"], "pretty_name": "ANGO"} | 2023-09-27T05:43:02+00:00 | [] | [
"zh"
] | TAGS
#task_categories-question-answering #task_categories-text2text-generation #task_categories-text-generation #size_categories-1K<n<10K #language-Chinese #license-llama2 #region-us
| ANGO is A Novel Generation-Oriented Chinese LLM evaluation benchmark.
We introduces the format of single-question multiple-keypoints dataset for the first time, which include 171 keypoints accumulated in 4 hierarchical levels and 9 difficulty categories.
The data were exclusively obtained from the Administrative Prof... | [] | [
"TAGS\n#task_categories-question-answering #task_categories-text2text-generation #task_categories-text-generation #size_categories-1K<n<10K #language-Chinese #license-llama2 #region-us \n"
] | [
66
] | [
"passage: TAGS\n#task_categories-question-answering #task_categories-text2text-generation #task_categories-text-generation #size_categories-1K<n<10K #language-Chinese #license-llama2 #region-us \n"
] |
fb79afbd7911316ab3966325769f9c9f31e47b7c | # Dataset Card for "gramvaani_preprocessed_hi_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TheAIchemist13/gramvaani_preprocessed_hi_train | [
"region:us"
] | 2023-09-27T06:24:44+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 47173100841.0, "num_examples"... | 2023-09-27T09:16:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gramvaani_preprocessed_hi_train"
More Information needed | [
"# Dataset Card for \"gramvaani_preprocessed_hi_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"gramvaani_preprocessed_hi_train\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"gramvaani_preprocessed_hi_train\"\n\nMore Information needed"
] |
c567f0ce4461a524266e86892dec68ea9a04c795 | # Dataset Card for "logits-mt-128"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | amitness/logits-mt-128 | [
"region:us"
] | 2023-09-27T06:26:57+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}, {"name... | 2023-09-27T06:28:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "logits-mt-128"
More Information needed | [
"# Dataset Card for \"logits-mt-128\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"logits-mt-128\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"logits-mt-128\"\n\nMore Information needed"
] |
64884acf9be1f3637bce68e34892629dfc4041c5 | https://youtu.be/nfQ8vB3cn2Q?list=PLo2EIpI_JMQtpPdB3QSGW8bkZostiB7Y2
| lunarflu/HuggingCast-v1-AI-News-and-Demos | [
"region:us"
] | 2023-09-27T06:29:50+00:00 | {} | 2023-09-27T06:31:06+00:00 | [] | [] | TAGS
#region-us
| URL
!image/png
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
b74b5ee522129e6cb5c5d54509ddd5deb1d45538 | # Dataset Card for "gramvaani_preprocessed_hi_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TheAIchemist13/gramvaani_preprocessed_hi_test | [
"region:us"
] | 2023-09-27T06:39:44+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 1310718206.25, "num_examples"... | 2023-09-27T06:41:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gramvaani_preprocessed_hi_test"
More Information needed | [
"# Dataset Card for \"gramvaani_preprocessed_hi_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"gramvaani_preprocessed_hi_test\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"gramvaani_preprocessed_hi_test\"\n\nMore Information needed"
] |
04c04ce2edc0404d4bb469d241adf9a5c0b6e302 | # Dataset Card for "ppo-seals-Humanoid-v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | HumanCompatibleAI/ppo-seals-Humanoid-v1 | [
"region:us"
] | 2023-09-27T06:51:55+00:00 | {"dataset_info": {"features": [{"name": "obs", "sequence": {"sequence": "float64"}}, {"name": "acts", "sequence": {"sequence": "float32"}}, {"name": "infos", "sequence": "string"}, {"name": "terminal", "dtype": "bool"}, {"name": "rews", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 447344692, "num_... | 2023-09-27T06:53:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ppo-seals-Humanoid-v1"
More Information needed | [
"# Dataset Card for \"ppo-seals-Humanoid-v1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ppo-seals-Humanoid-v1\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ppo-seals-Humanoid-v1\"\n\nMore Information needed"
] |
55cfd4b42adb426fd99486c9679f290144ccf5e5 | # Dataset Card for "pubmedqa_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/pubmedqa_test | [
"region:us"
] | 2023-09-27T07:03:19+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "valid", "path": "data/valid-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "query", "dtype": "string"}, {"name": "answer", "dtype": "... | 2024-01-19T18:12:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pubmedqa_test"
More Information needed | [
"# Dataset Card for \"pubmedqa_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pubmedqa_test\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pubmedqa_test\"\n\nMore Information needed"
] |
cca2152118c9f71efb2cd3a83a89a2c846a4bacf |
# taln-archives_fr_prompt_data_to_text
## Summary
**taln-archives_fr_prompt_data_to_text** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
It contains **35,370** rows that can be used for a data-to-text task.
The original data (without prompts) comes from th... | CATIE-AQ/taln-archives_fr_prompt_data_to_text | [
"task_categories:text-generation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:taln-ls2n/taln-archives",
"language:fr",
"license:cc-by-4.0",
"data-to-text",
"DFP",
"french prompts",
"region:us"
] | 2023-09-27T07:17:00+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["fr"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["taln-ls2n/taln-archives"], "task_categories": ["text-generation"], "tags": ["data-to-text", "DFP", "french prompts... | 2023-10-11T11:31:45+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/taln-archives #language-French #license-cc-by-4.0 #data-to-text #DFP #french prompts #region-us
|
# taln-archives_fr_prompt_data_to_text
## Summary
taln-archives_fr_prompt_data_to_text is a subset of the Dataset of French Prompts (DFP).
It contains 35,370 rows that can be used for a data-to-text task.
The original data (without prompts) comes from the dataset taln-archives.
A list of prompts (see below) was... | [
"# taln-archives_fr_prompt_data_to_text",
"## Summary\n\ntaln-archives_fr_prompt_data_to_text is a subset of the Dataset of French Prompts (DFP). \nIt contains 35,370 rows that can be used for a data-to-text task. \nThe original data (without prompts) comes from the dataset taln-archives. \nA list of prompts (... | [
"TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/taln-archives #language-French #license-cc-by-4.0 #data-to-text #DFP #french prompts #region-us \n",
"# taln-archives_fr_prompt_data_to_t... | [
104,
18,
124,
5,
46,
27,
5,
218,
106,
8
] | [
"passage: TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/taln-archives #language-French #license-cc-by-4.0 #data-to-text #DFP #french prompts #region-us \n# taln-archives_fr_prompt_data_t... |
c48eb23e9421807fd4e7a079c6ec95caf481efe8 |
# taln-archives_fr_prompt_keywords_extraction
## Summary
**taln-archives_fr_prompt_keywords_extraction** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
It contains **24,507** rows that can be used for a keywords_extraction task.
The original data (without ... | CATIE-AQ/taln-archives_fr_prompt_keywords_extraction | [
"task_categories:text-generation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:taln-ls2n/taln-archives",
"language:fr",
"license:cc-by-4.0",
"keywords-extraction",
"DFP",
"french prompts",
"region:us"
] | 2023-09-27T07:28:18+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["fr"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["taln-ls2n/taln-archives"], "task_categories": ["text-generation"], "tags": ["keywords-extraction", "DFP", "french ... | 2023-10-11T11:31:59+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/taln-archives #language-French #license-cc-by-4.0 #keywords-extraction #DFP #french prompts #region-us
|
# taln-archives_fr_prompt_keywords_extraction
## Summary
taln-archives_fr_prompt_keywords_extraction is a subset of the Dataset of French Prompts (DFP).
It contains 24,507 rows that can be used for a keywords_extraction task.
The original data (without prompts) comes from the dataset taln-archives.
A list of p... | [
"# taln-archives_fr_prompt_keywords_extraction",
"## Summary\n\ntaln-archives_fr_prompt_keywords_extraction is a subset of the Dataset of French Prompts (DFP). \nIt contains 24,507 rows that can be used for a keywords_extraction task. \nThe original data (without prompts) comes from the dataset taln-archives. ... | [
"TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/taln-archives #language-French #license-cc-by-4.0 #keywords-extraction #DFP #french prompts #region-us \n",
"# taln-archives_fr_prompt_ke... | [
105,
19,
125,
5,
46,
27,
5,
218,
106,
8
] | [
"passage: TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/taln-archives #language-French #license-cc-by-4.0 #keywords-extraction #DFP #french prompts #region-us \n# taln-archives_fr_prompt... |
296170274ebb81ba46c966c0d42c70600ffa5790 |
This dataset contains zips of all pdf files which were downloaded from the [NRW Geoportal](https://www.geoportal.nrw/?activetab=portal). The pdfs filenames and document ids can be linked back to the [document_text](https://huggingface.co/datasets/DSSGxMunich/document_text) table. | DSSGxMunich/nrw-bplan-pdfs | [
"license:mit",
"region:us"
] | 2023-09-27T07:30:14+00:00 | {"license": "mit"} | 2023-10-05T08:57:02+00:00 | [] | [] | TAGS
#license-mit #region-us
|
This dataset contains zips of all pdf files which were downloaded from the NRW Geoportal. The pdfs filenames and document ids can be linked back to the document_text table. | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
6a8f69022f6e3dacd1af57afb46dee70d9636456 | # Dataset Card for "code_text_classifier"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | JeswinMS4/code_text_classifier | [
"region:us"
] | 2023-09-27T07:32:05+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"... | 2023-09-27T07:32:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "code_text_classifier"
More Information needed | [
"# Dataset Card for \"code_text_classifier\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"code_text_classifier\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"code_text_classifier\"\n\nMore Information needed"
] |
9bddd72b34df268f9118ec9df22738251a3e4d15 |
# termith-eval_fr_prompt_data_to_text
## Summary
**termith-eval_fr_prompt_data_to_text** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
It contains **11,886** rows that can be used for a data-to-text task.
The original data (without prompts) comes from the ... | CATIE-AQ/termith-eval_fr_prompt_data_to_text | [
"task_categories:text-generation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:taln-ls2n/termith-eval",
"language:fr",
"license:cc-by-4.0",
"data-to-text",
"DFP",
"french prompts",
"region:us"
] | 2023-09-27T07:32:53+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["fr"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["taln-ls2n/termith-eval"], "task_categories": ["text-generation"], "tags": ["data-to-text", "DFP", "french prompts"... | 2023-10-11T11:32:14+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/termith-eval #language-French #license-cc-by-4.0 #data-to-text #DFP #french prompts #region-us
|
# termith-eval_fr_prompt_data_to_text
## Summary
termith-eval_fr_prompt_data_to_text is a subset of the Dataset of French Prompts (DFP).
It contains 11,886 rows that can be used for a data-to-text task.
The original data (without prompts) comes from the dataset termith-eval.
A list of prompts (see below) was th... | [
"# termith-eval_fr_prompt_data_to_text",
"## Summary\n\ntermith-eval_fr_prompt_data_to_text is a subset of the Dataset of French Prompts (DFP). \nIt contains 11,886 rows that can be used for a data-to-text task. \nThe original data (without prompts) comes from the dataset termith-eval. \nA list of prompts (see... | [
"TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/termith-eval #language-French #license-cc-by-4.0 #data-to-text #DFP #french prompts #region-us \n",
"# termith-eval_fr_prompt_data_to_tex... | [
104,
18,
124,
5,
46,
27,
5,
218,
106,
8
] | [
"passage: TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/termith-eval #language-French #license-cc-by-4.0 #data-to-text #DFP #french prompts #region-us \n# termith-eval_fr_prompt_data_to_... |
c4dd6f66d269293eaec8460e11a5c4a256d4442a | # Dataset Card for "texture_images_small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kewu93/texture_images_small | [
"region:us"
] | 2023-09-27T07:40:31+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2058113.0687237026, "num_exampl... | 2023-09-27T07:40:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "texture_images_small"
More Information needed | [
"# Dataset Card for \"texture_images_small\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"texture_images_small\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"texture_images_small\"\n\nMore Information needed"
] |
6ab818fec81b28733e4d37eff96ca8a7808f2d44 |
# termith-eval_fr_prompt_keywords_extraction
## Summary
**termith-eval_fr_prompt_keywords_extraction** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
It contains **8,295** rows that can be used for a keywords_extraction task.
The original data (without pro... | CATIE-AQ/termith-eval_fr_prompt_keywords_extraction | [
"task_categories:text-generation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:taln-ls2n/termith-eval",
"language:fr",
"license:cc-by-4.0",
"keywords-extraction",
"DFP",
"french prompts",
"region:us"
] | 2023-09-27T07:40:56+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["fr"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["taln-ls2n/termith-eval"], "task_categories": ["text-generation"], "tags": ["keywords-extraction", "DFP", "french p... | 2023-10-11T11:32:27+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/termith-eval #language-French #license-cc-by-4.0 #keywords-extraction #DFP #french prompts #region-us
|
# termith-eval_fr_prompt_keywords_extraction
## Summary
termith-eval_fr_prompt_keywords_extraction is a subset of the Dataset of French Prompts (DFP).
It contains 8,295 rows that can be used for a keywords_extraction task.
The original data (without prompts) comes from the dataset termith-eval.
A list of promp... | [
"# termith-eval_fr_prompt_keywords_extraction",
"## Summary\n\ntermith-eval_fr_prompt_keywords_extraction is a subset of the Dataset of French Prompts (DFP). \nIt contains 8,295 rows that can be used for a keywords_extraction task. \nThe original data (without prompts) comes from the dataset termith-eval. \nA ... | [
"TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/termith-eval #language-French #license-cc-by-4.0 #keywords-extraction #DFP #french prompts #region-us \n",
"# termith-eval_fr_prompt_keyw... | [
105,
19,
126,
5,
46,
28,
5,
218,
106,
8
] | [
"passage: TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/termith-eval #language-French #license-cc-by-4.0 #keywords-extraction #DFP #french prompts #region-us \n# termith-eval_fr_prompt_k... |
ac4e076eabfa2a9fb3ce9e975df6c549a1e3a795 |
# wikinews-fr-100_fr_prompt_data_to_text
## Summary
**wikinews-fr-100_fr_prompt_data_to_text** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
It contains **3,000** rows that can be used for a data-to-text task.
The original data (without prompts) comes from... | CATIE-AQ/wikinews-fr-100_fr_prompt_data_to_text | [
"task_categories:text-generation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1k<n<10K",
"source_datasets:taln-ls2n/wikinews-fr-100",
"language:fr",
"license:cc-by-4.0",
"data-to-text",
"DFP",
"french prompts",
"region:us"
] | 2023-09-27T07:41:07+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["fr"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1k<n<10K"], "source_datasets": ["taln-ls2n/wikinews-fr-100"], "task_categories": ["text-generation"], "tags": ["data-to-text", "DFP", "french prompts... | 2023-10-11T11:32:41+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-taln-ls2n/wikinews-fr-100 #language-French #license-cc-by-4.0 #data-to-text #DFP #french prompts #region-us
|
# wikinews-fr-100_fr_prompt_data_to_text
## Summary
wikinews-fr-100_fr_prompt_data_to_text is a subset of the Dataset of French Prompts (DFP).
It contains 3,000 rows that can be used for a data-to-text task.
The original data (without prompts) comes from the dataset wikinews-fr-100.
A list of prompts (see below... | [
"# wikinews-fr-100_fr_prompt_data_to_text",
"## Summary\n\nwikinews-fr-100_fr_prompt_data_to_text is a subset of the Dataset of French Prompts (DFP). \nIt contains 3,000 rows that can be used for a data-to-text task. \nThe original data (without prompts) comes from the dataset wikinews-fr-100. \nA list of prom... | [
"TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-taln-ls2n/wikinews-fr-100 #language-French #license-cc-by-4.0 #data-to-text #DFP #french prompts #region-us \n",
"# wikinews-fr-100_fr_prompt_data_to... | [
104,
18,
123,
5,
46,
26,
5,
218,
106,
8
] | [
"passage: TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-taln-ls2n/wikinews-fr-100 #language-French #license-cc-by-4.0 #data-to-text #DFP #french prompts #region-us \n# wikinews-fr-100_fr_prompt_data... |
f0eee1c4a66c76ea471018f21648e648127d3415 |
# wikinews-fr-100_fr_prompt_keywords_extraction
## Summary
**wikinews-fr-100_fr_prompt_keywords_extraction** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
It contains **2,100** rows that can be used for a keywords_extraction task.
The original data (witho... | CATIE-AQ/wikinews-fr-100_fr_prompt_keywords_extraction | [
"task_categories:text-generation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:taln-ls2n/wikinews-fr-100",
"language:fr",
"license:cc-by-4.0",
"keywords-extraction",
"DFP",
"french prompts",
"region:us"
... | 2023-09-27T07:41:17+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["fr"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["taln-ls2n/wikinews-fr-100"], "task_categories": ["text-generation"], "tags": ["keywords-extraction", "DFP", "frenc... | 2023-10-11T11:26:23+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/wikinews-fr-100 #language-French #license-cc-by-4.0 #keywords-extraction #DFP #french prompts #region-us
|
# wikinews-fr-100_fr_prompt_keywords_extraction
## Summary
wikinews-fr-100_fr_prompt_keywords_extraction is a subset of the Dataset of French Prompts (DFP).
It contains 2,100 rows that can be used for a keywords_extraction task.
The original data (without prompts) comes from the dataset wikinews-fr-100.
A list... | [
"# wikinews-fr-100_fr_prompt_keywords_extraction",
"## Summary\n\nwikinews-fr-100_fr_prompt_keywords_extraction is a subset of the Dataset of French Prompts (DFP). \nIt contains 2,100 rows that can be used for a keywords_extraction task. \nThe original data (without prompts) comes from the dataset wikinews-fr-1... | [
"TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/wikinews-fr-100 #language-French #license-cc-by-4.0 #keywords-extraction #DFP #french prompts #region-us \n",
"# wikinews-fr-100_fr_promp... | [
105,
19,
125,
5,
46,
27,
5,
218,
106,
8
] | [
"passage: TAGS\n#task_categories-text-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-taln-ls2n/wikinews-fr-100 #language-French #license-cc-by-4.0 #keywords-extraction #DFP #french prompts #region-us \n# wikinews-fr-100_fr_pr... |
4099c67ee79dc6f59a618aeeee6fe55054101fa4 | # Dataset Card for "preprocessed_xsum"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zuzannad1/preprocessed_xsum | [
"region:us"
] | 2023-09-27T07:42:52+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "sequence": {"sequence": {"sequence": "float32"}}}, {"name": "attention_mask", "sequence": "float32"}, {"name": "label_ids", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 332148531900, "num_examples": 204045}, {"name": "val", "num_bytes": 184464... | 2023-09-29T15:05:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "preprocessed_xsum"
More Information needed | [
"# Dataset Card for \"preprocessed_xsum\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"preprocessed_xsum\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"preprocessed_xsum\"\n\nMore Information needed"
] |
552186b360647b319eb771471480ce051526d509 |
This dataset contains the images extracted from all building plans. The images were extracted by fine-tuning a CNN for object detection. The model places boudning boxes around all image parts of the documents, which corresponds to an image of the land parcel. All other areas, typically corresponding to text, are consi... | DSSGxMunich/nrw-bplan-images | [
"license:mit",
"region:us"
] | 2023-09-27T07:43:19+00:00 | {"license": "mit"} | 2023-10-05T09:29:24+00:00 | [] | [] | TAGS
#license-mit #region-us
|
This dataset contains the images extracted from all building plans. The images were extracted by fine-tuning a CNN for object detection. The model places boudning boxes around all image parts of the documents, which corresponds to an image of the land parcel. All other areas, typically corresponding to text, are consi... | [
"## Dataset Structure\n\nThe zip file contains the following: \n\n- images: a folder containing all images\n\n- img_pdf_mapping: a table containing two columns; \n - pdf_filename: the filename of the pdf from which the image was extracted. Corresponds to the filename that can be foudn in the document_text table\n ... | [
"TAGS\n#license-mit #region-us \n",
"## Dataset Structure\n\nThe zip file contains the following: \n\n- images: a folder containing all images\n\n- img_pdf_mapping: a table containing two columns; \n - pdf_filename: the filename of the pdf from which the image was extracted. Corresponds to the filename that can ... | [
11,
101
] | [
"passage: TAGS\n#license-mit #region-us \n## Dataset Structure\n\nThe zip file contains the following: \n\n- images: a folder containing all images\n\n- img_pdf_mapping: a table containing two columns; \n - pdf_filename: the filename of the pdf from which the image was extracted. Corresponds to the filename that c... |
d9d9282b5bf23547d63652857cd8318657510ec4 | # Dataset Card for "zx_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sc3069/zx_test | [
"region:us"
] | 2023-09-27T07:43:46+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "lable", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6349540, "num_examples": 140}], "download_size": 2097850, "dataset_size": 6349540}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data... | 2023-09-27T07:50:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "zx_test"
More Information needed | [
"# Dataset Card for \"zx_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"zx_test\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"zx_test\"\n\nMore Information needed"
] |
6698026ce4ddf1a6393154d0046952ef93d268e7 | ## cppe-5
我正在 transformers 上练习 [object-detection](https://huggingface.co/docs/transformers/tasks/object_detection)
我在 Kaggle 上执行代码，因为那上面提供免费的GPU, 可是它访问不到 google drive，因此我复制了这个数据集[cppe-5](https://huggingface.co/datasets/cppe-5)。
类别标签：
```text
["Coverall", "Face_Shield", "Gloves", "Goggles", "Mask"]
```
| qgyd2021/cppe-5 | [
"task_categories:object-detection",
"size_categories:100M<n<1B",
"license:apache-2.0",
"object detection",
"region:us"
] | 2023-09-27T07:54:40+00:00 | {"license": "apache-2.0", "size_categories": ["100M<n<1B"], "task_categories": ["object-detection"], "tags": ["object detection"]} | 2023-09-28T07:30:29+00:00 | [] | [] | TAGS
#task_categories-object-detection #size_categories-100M<n<1B #license-apache-2.0 #object detection #region-us
| ## cppe-5
我正在 transformers 上练习 object-detection
我在 Kaggle 上执行代码，因为那上面提供免费的GPU, 可是它访问不到 google drive，因此我复制了这个数据集cppe-5。
类别标签：
| [
"## cppe-5\n\n我正在 transformers 上练习 object-detection\n\n我在 Kaggle 上执行代码，因为那上面提供免费的GPU, 可是它访问不到 google drive，因此我复制了这个数据集cppe-5。\n\n类别标签："
] | [
"TAGS\n#task_categories-object-detection #size_categories-100M<n<1B #license-apache-2.0 #object detection #region-us \n",
"## cppe-5\n\n我正在 transformers 上练习 object-detection\n\n我在 Kaggle 上执行代码，因为那上面提供免费的GPU, 可是它访问不到 google drive，因此我复制了这个数据集cppe-5。\n\n类别标签："
] | [
41,
57
] | [
"passage: TAGS\n#task_categories-object-detection #size_categories-100M<n<1B #license-apache-2.0 #object detection #region-us \n## cppe-5\n\n我正在 transformers 上练习 object-detection\n\n我在 Kaggle 上执行代码，因为那上面提供免费的GPU, 可是它访问不到 google drive，因此我复制了这个数据集cppe-5。\n\n类别标签："
] |
1e5d590ba90b436cf1f1f9a2471fc86b95cd344d | # Dataset Card for "PubMedQA_instruction"
This repo contains a [PubMedQA](https://huggingface.co/datasets/pubmed_qa) dataset converted for instruction tuning.
### Citation Information
```tex
@inproceedings{jin2019pubmedqa,
title={PubMedQA: A Dataset for Biomedical Research Question Answering},
author={Jin, Qiao ... | fedml/PubMedQA_instruction | [
"task_categories:question-answering",
"task_categories:text-generation",
"language:en",
"license:mit",
"medical",
"region:us"
] | 2023-09-27T07:58:14+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["question-answering", "text-generation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"... | 2023-09-27T08:04:39+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #language-English #license-mit #medical #region-us
| # Dataset Card for "PubMedQA_instruction"
This repo contains a PubMedQA dataset converted for instruction tuning.
| [
"# Dataset Card for \"PubMedQA_instruction\"\n\nThis repo contains a PubMedQA dataset converted for instruction tuning."
] | [
"TAGS\n#task_categories-question-answering #task_categories-text-generation #language-English #license-mit #medical #region-us \n",
"# Dataset Card for \"PubMedQA_instruction\"\n\nThis repo contains a PubMedQA dataset converted for instruction tuning."
] | [
41,
30
] | [
"passage: TAGS\n#task_categories-question-answering #task_categories-text-generation #language-English #license-mit #medical #region-us \n# Dataset Card for \"PubMedQA_instruction\"\n\nThis repo contains a PubMedQA dataset converted for instruction tuning."
] |
c2a17bf3ec64d9b6418ead1cb5f7ef26dbdffccb |
# The Obscenity List
*by [Surge AI, the world's most powerful NLP data labeling platform and workforce](https://www.surgehq.ai)*
Ever wish you had a ready-made list of profanity? Maybe you want to remove NSFW comments, filter offensive usernames, or build content moderation tools, and you can't dream up enough obscen... | mmathys/profanity | [
"license:mit",
"region:us"
] | 2023-09-27T07:59:08+00:00 | {"license": "mit"} | 2023-09-27T08:01:04+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# The Obscenity List
*by Surge AI, the world's most powerful NLP data labeling platform and workforce*
Ever wish you had a ready-made list of profanity? Maybe you want to remove NSFW comments, filter offensive usernames, or build content moderation tools, and you can't dream up enough obscenities on your own.
At Sur... | [
"# The Obscenity List\n*by Surge AI, the world's most powerful NLP data labeling platform and workforce*\n\nEver wish you had a ready-made list of profanity? Maybe you want to remove NSFW comments, filter offensive usernames, or build content moderation tools, and you can't dream up enough obscenities on your own.\... | [
"TAGS\n#license-mit #region-us \n",
"# The Obscenity List\n*by Surge AI, the world's most powerful NLP data labeling platform and workforce*\n\nEver wish you had a ready-made list of profanity? Maybe you want to remove NSFW comments, filter offensive usernames, or build content moderation tools, and you can't dre... | [
11,
124,
262,
151,
79,
89,
15
] | [
"passage: TAGS\n#license-mit #region-us \n# The Obscenity List\n*by Surge AI, the world's most powerful NLP data labeling platform and workforce*\n\nEver wish you had a ready-made list of profanity? Maybe you want to remove NSFW comments, filter offensive usernames, or build content moderation tools, and you can't ... |
70cade4062039a6f44634f7136355462c7f28072 | # Dataset Card for "synth_pass_open"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Akajackson/synth_pass_open | [
"region:us"
] | 2023-09-27T08:01:18+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2482854497.0, "num_examples": 10000}, {"name": "validation", "num_bytes": 51578237.0, "num_examples": 200}, {"name": "test", "num_bytes": 52340884.0, "num_examples"... | 2023-09-27T08:04:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "synth_pass_open"
More Information needed | [
"# Dataset Card for \"synth_pass_open\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"synth_pass_open\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"synth_pass_open\"\n\nMore Information needed"
] |
ae51fa8fe9ee3d6fa044e4b3606e45dd0856b22c | # このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。
## ただし、データは4分割されています。
## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）
- カタカナ語にカッコ付けで英語を追記しました。
- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。
- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。
- その他、いろいろなトライアルとして情報を追加しました。
詳しい情報は[こちらのブログ](https://jpnqeur23lmqsw.blogspot.com/2023/09/qeur23ll... | QEU/databricks-dolly-16k-line_ja-1_of_4 | [
"license:apache-2.0",
"region:us"
] | 2023-09-27T08:15:14+00:00 | {"license": "apache-2.0"} | 2023-09-27T08:29:59+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。
## ただし、データは4分割されています。
## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）
- カタカナ語にカッコ付けで英語を追記しました。
- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。
- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。
- その他、いろいろなトライアルとして情報を追加しました。
詳しい情報はこちらのブログを参考にしてください。
| [
"# このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。",
"## ただし、データは4分割されています。",
"## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）\n- カタカナ語にカッコ付けで英語を追記しました。\n- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。\n- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。\n- その他、いろいろなトライアルとして情報を追加しました。\n\n詳しい情報はこちらのブログを参考にしてください。"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。",
"## ただし、データは4分割されています。",
"## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）\n- カタカナ語にカッコ付けで英語を追記しました。\n- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。\n- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。\n- その他、いろいろなトライアルとして情報を追加しました。\n\n詳しい... | [
14,
21,
10,
102
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n# このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。## ただし、データは4分割されています。## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）\n- カタカナ語にカッコ付けで英語を追記しました。\n- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。\n- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。\n- その他、いろいろなトライアルとして情報を追加しました。\n\n詳しい情報はこちらのブロ... |
ef58494c126ec5331c9bdace1cfd282f9e8cee3a | # このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。
## ただし、データは4分割されています。
## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）
- カタカナ語にカッコ付けで英語を追記しました。
- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。
- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。
- その他、いろいろなトライアルとして情報を追加しました。
詳しい情報は[こちらのブログ](https://jpnqeur23lmqsw.blogspot.com/2023/09/qeur23ll... | QEU/databricks-dolly-16k-line_ja-2_of_4 | [
"license:apache-2.0",
"region:us"
] | 2023-09-27T08:16:54+00:00 | {"license": "apache-2.0"} | 2023-09-27T08:29:24+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。
## ただし、データは4分割されています。
## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）
- カタカナ語にカッコ付けで英語を追記しました。
- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。
- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。
- その他、いろいろなトライアルとして情報を追加しました。
詳しい情報はこちらのブログを参考にしてください。
| [
"# このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。",
"## ただし、データは4分割されています。",
"## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）\n- カタカナ語にカッコ付けで英語を追記しました。\n- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。\n- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。\n- その他、いろいろなトライアルとして情報を追加しました。\n\n詳しい情報はこちらのブログを参考にしてください。"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。",
"## ただし、データは4分割されています。",
"## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）\n- カタカナ語にカッコ付けで英語を追記しました。\n- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。\n- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。\n- その他、いろいろなトライアルとして情報を追加しました。\n\n詳しい... | [
14,
21,
10,
102
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n# このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。## ただし、データは4分割されています。## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）\n- カタカナ語にカッコ付けで英語を追記しました。\n- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。\n- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。\n- その他、いろいろなトライアルとして情報を追加しました。\n\n詳しい情報はこちらのブロ... |
5f4ec097de004bbd86737765d750986ff78095c3 | # このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。
## ただし、データは4分割されています。
## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）
- カタカナ語にカッコ付けで英語を追記しました。
- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。
- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。
- その他、いろいろなトライアルとして情報を追加しました。
詳しい情報は[こちらのブログ](https://jpnqeur23lmqsw.blogspot.com/2023/09/qeur23ll... | QEU/databricks-dolly-16k-line_ja-3_of_4 | [
"license:apache-2.0",
"region:us"
] | 2023-09-27T08:18:29+00:00 | {"license": "apache-2.0"} | 2023-10-09T02:14:40+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。
## ただし、データは4分割されています。
## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）
- カタカナ語にカッコ付けで英語を追記しました。
- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。
- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。
- その他、いろいろなトライアルとして情報を追加しました。
詳しい情報はこちらのブログを参考にしてください。
| [
"# このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。",
"## ただし、データは4分割されています。",
"## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）\n- カタカナ語にカッコ付けで英語を追記しました。\n- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。\n- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。\n- その他、いろいろなトライアルとして情報を追加しました。\n\n詳しい情報はこちらのブログを参考にしてください。"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。",
"## ただし、データは4分割されています。",
"## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）\n- カタカナ語にカッコ付けで英語を追記しました。\n- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。\n- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。\n- その他、いろいろなトライアルとして情報を追加しました。\n\n詳しい... | [
14,
21,
10,
102
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n# このデータセットは、2023年に有名になったdatabrick-15kの日本語版です。## ただし、データは4分割されています。## データの内容は非常に変わっています。（半分ぐらいは、原型をとどめていません）\n- カタカナ語にカッコ付けで英語を追記しました。\n- このデータセットには、ＱnＡとして異常なレコードが見られることから修正しました。\n- 「ゲームオブスローン」に関するトリビアなど、情報価値が低いものは削除しました。\n- その他、いろいろなトライアルとして情報を追加しました。\n\n詳しい情報はこちらのブロ... |
4a0ee1d3ff99f5678c4f7c809c59e09ea2f5de82 |
# Dataset Card for Arabic Billion Words Corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances]... | oserikov/arabic_billion_words_old | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"size_categories:10K<n<100K",
"size_categories:1M<... | 2023-09-27T08:18:45+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["ar"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M", "10K<n<100K", "1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-mod... | 2023-09-27T09:15:43+00:00 | [
"1611.04033"
] | [
"ar"
] | TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-10K<n<100K #size_categories-1M<n<10M #source_datasets-original #la... | Dataset Card for Arabic Billion Words Corpus
============================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation R... | [
"### Dataset Summary\n\n\nAbu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.\nIt contains over a billion and a half words in total, out of which, there are about three million unique words.\nThe corpus is encoded with two types of encoding, namely: UTF-8, and Wind... | [
"TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-10K<n<100K #size_categories-1M<n<10M #source_datasets-origin... | [
142,
155,
10,
12,
24,
66,
35,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
6,
26
] | [
"passage: TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-10K<n<100K #size_categories-1M<n<10M #source_datase... |
0581ffd7990c222b9b3f24b14127f9af1480883a | # Dataset Card for "03F_IEMOCAP"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MonKira/03F_IEMOCAP | [
"region:us"
] | 2023-09-27T08:47:49+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "input_values", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 1462828704, "num_ex... | 2023-09-27T08:48:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "03F_IEMOCAP"
More Information needed | [
"# Dataset Card for \"03F_IEMOCAP\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"03F_IEMOCAP\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"03F_IEMOCAP\"\n\nMore Information needed"
] |
fda432907a46abe812157baa8cab9ec476e59bcd | # Dataset Card for "whisper-kannada-audio"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TheAIchemist13/whisper-kannada-audio | [
"region:us"
] | 2023-09-27T09:08:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "transcriptions", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4518573.0, "num_examples": 108}], "download_size": 4455242, "... | 2023-09-27T09:12:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "whisper-kannada-audio"
More Information needed | [
"# Dataset Card for \"whisper-kannada-audio\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"whisper-kannada-audio\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"whisper-kannada-audio\"\n\nMore Information needed"
] |
aab9d07839fffee0aba6439f7737d5a96ece515e | # Dataset Card for "pdp_tokens"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mayank1307/pdp_tokens | [
"region:us"
] | 2023-09-27T09:50:18+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2439583, "num_examples": 9105}], "download_size": 560074, "dataset_size": 2439583}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-27T12:27:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pdp_tokens"
More Information needed | [
"# Dataset Card for \"pdp_tokens\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pdp_tokens\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pdp_tokens\"\n\nMore Information needed"
] |
f0a934ddf4e8da0fc6c53fb42fda2c9ac8ed93df |
# Dataset Card for HiFiTTS
Hi-Fi Multi-Speaker English TTS Dataset (Hi-Fi TTS) is based on LibriVox's public domain audio books and Gutenberg Project texts. | MikhailT/hifi-tts | [
"task_categories:text-to-speech",
"task_categories:text-to-audio",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-09-27T09:54:55+00:00 | {"language": ["en"], "license": ["cc-by-4.0"], "task_categories": ["text-to-speech", "text-to-audio"], "pretty_name": "HiFi TTS", "configs": [{"config_name": "clean", "version": "1.0.0", "data_files": [{"split": "train", "path": "data/train.clean-*"}, {"split": "test", "path": "data/test.clean-*"}, {"split": "dev", "pa... | 2023-11-30T07:17:30+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-speech #task_categories-text-to-audio #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for HiFiTTS
Hi-Fi Multi-Speaker English TTS Dataset (Hi-Fi TTS) is based on LibriVox's public domain audio books and Gutenberg Project texts. | [
"# Dataset Card for HiFiTTS\n\nHi-Fi Multi-Speaker English TTS Dataset (Hi-Fi TTS) is based on LibriVox's public domain audio books and Gutenberg Project texts."
] | [
"TAGS\n#task_categories-text-to-speech #task_categories-text-to-audio #language-English #license-cc-by-4.0 #region-us \n",
"# Dataset Card for HiFiTTS\n\nHi-Fi Multi-Speaker English TTS Dataset (Hi-Fi TTS) is based on LibriVox's public domain audio books and Gutenberg Project texts."
] | [
45,
47
] | [
"passage: TAGS\n#task_categories-text-to-speech #task_categories-text-to-audio #language-English #license-cc-by-4.0 #region-us \n# Dataset Card for HiFiTTS\n\nHi-Fi Multi-Speaker English TTS Dataset (Hi-Fi TTS) is based on LibriVox's public domain audio books and Gutenberg Project texts."
] |
7c83a9c2f8e95aed791698d14d6c2920ecb5d2bb |
# Dataset Card for Arabic Billion Words Corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances]... | oserikov/arabic_billion_words | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"size_categories:10K<n<100K",
"size_categories:1M<... | 2023-09-27T09:56:10+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["ar"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M", "10K<n<100K", "1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-mod... | 2023-09-27T10:18:25+00:00 | [
"1611.04033"
] | [
"ar"
] | TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-10K<n<100K #size_categories-1M<n<10M #source_datasets-original #la... | Dataset Card for Arabic Billion Words Corpus
============================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation R... | [
"### Dataset Summary\n\n\nAbu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.\nIt contains over a billion and a half words in total, out of which, there are about three million unique words.\nThe corpus is encoded with two types of encoding, namely: UTF-8, and Wind... | [
"TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-10K<n<100K #size_categories-1M<n<10M #source_datasets-origin... | [
142,
155,
10,
12,
24,
66,
35,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
6,
26
] | [
"passage: TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-10K<n<100K #size_categories-1M<n<10M #source_datase... |
401a49d50f857d786f5910a3e5ff1086607ca875 | # Dataset Card for "microstructure_porosity_scattered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zche318/microstructure_porosity_scattered | [
"region:us"
] | 2023-09-27T10:23:24+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7022408.8, "num_examples": 3940}], "download_size": 5502114, "dataset_s... | 2023-09-27T10:23:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "microstructure_porosity_scattered"
More Information needed | [
"# Dataset Card for \"microstructure_porosity_scattered\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"microstructure_porosity_scattered\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"microstructure_porosity_scattered\"\n\nMore Information needed"
] |
22a9f49a809b4bf877eda2de25f38f8e99ee0c79 |
# Tabular Benchmark
## Dataset Description
This dataset is a curation of various datasets from [openML](https://www.openml.org/) and is curated to benchmark performance of various machine learning algorithms.
- **Repository:** https://github.com/LeoGrin/tabular-benchmark/community
- **Paper:** https://hal.archives-... | polinaeterna/tabular-benchmark | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"region:us"
] | 2023-09-27T10:30:57+00:00 | {"annotations_creators": [], "license": [], "task_categories": ["tabular-classification", "tabular-regression"], "pretty_name": "tabular_benchmark", "tags": [], "configs": [{"config_name": "clf_cat_covertype", "data_files": "clf_cat/covertype.csv"}, {"config_name": "clf_num_Higgs", "data_files": "clf_num/Higgs.csv"}]} | 2023-09-28T11:11:36+00:00 | [] | [] | TAGS
#task_categories-tabular-classification #task_categories-tabular-regression #region-us
| Tabular Benchmark
=================
Dataset Description
-------------------
This dataset is a curation of various datasets from openML and is curated to benchmark performance of various machine learning algorithms.
* Repository: URL
* Paper: URL
### Dataset Summary
Benchmark made of curation of various tabula... | [
"### Dataset Summary\n\n\nBenchmark made of curation of various tabular data learning tasks, including:\n\n\n* Regression from Numerical and Categorical Features\n* Regression from Numerical Features\n* Classification from Numerical and Categorical Features\n* Classification from Numerical Features",
"### Support... | [
"TAGS\n#task_categories-tabular-classification #task_categories-tabular-regression #region-us \n",
"### Dataset Summary\n\n\nBenchmark made of curation of various tabular data learning tasks, including:\n\n\n* Regression from Numerical and Categorical Features\n* Regression from Numerical Features\n* Classificati... | [
30,
64,
33,
171,
570,
22,
26,
77
] | [
"passage: TAGS\n#task_categories-tabular-classification #task_categories-tabular-regression #region-us \n### Dataset Summary\n\n\nBenchmark made of curation of various tabular data learning tasks, including:\n\n\n* Regression from Numerical and Categorical Features\n* Regression from Numerical Features\n* Classific... |
790f3151f867653cd90371e28cbca2f131dea8f2 | # Chest X-rays (Indiana University)
Copy of the kaggle dataset: https://www.kaggle.com/datasets/raddar/chest-xrays-indiana-university created by [raddar](https://www.kaggle.com/raddar)
---
Open access chest X-ray collection from Indiana University
Original source: https://openi.nlm.nih.gov/
Original images were dow... | ykumards/open-i | [
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-nd-4.0",
"region:us"
] | 2023-09-27T10:35:12+00:00 | {"language": ["en"], "license": "cc-by-nd-4.0", "size_categories": ["1K<n<10K"], "pretty_name": "Chest X-rays (Indiana University)", "dataset_info": {"features": [{"name": "uid", "dtype": "int64"}, {"name": "MeSH", "dtype": "string"}, {"name": "Problems", "dtype": "string"}, {"name": "image", "dtype": "string"}, {"name... | 2023-09-27T10:54:03+00:00 | [] | [
"en"
] | TAGS
#size_categories-1K<n<10K #language-English #license-cc-by-nd-4.0 #region-us
| # Chest X-rays (Indiana University)
Copy of the kaggle dataset: URL created by raddar
---
Open access chest X-ray collection from Indiana University
Original source: URL
Original images were downloaded in raw DICOM standard. Each image was converted to png using some post-processing:
top/bottom 0.5% DICOM pixe... | [
"# Chest X-rays (Indiana University)\n\nCopy of the kaggle dataset: URL created by raddar\n\n---\nOpen access chest X-ray collection from Indiana University\n\nOriginal source: URL\n\nOriginal images were downloaded in raw DICOM standard. Each image was converted to png using some post-processing:\n\n top/bottom... | [
"TAGS\n#size_categories-1K<n<10K #language-English #license-cc-by-nd-4.0 #region-us \n",
"# Chest X-rays (Indiana University)\n\nCopy of the kaggle dataset: URL created by raddar\n\n---\nOpen access chest X-ray collection from Indiana University\n\nOriginal source: URL\n\nOriginal images were downloaded in raw DI... | [
33,
180,
43,
14
] | [
"passage: TAGS\n#size_categories-1K<n<10K #language-English #license-cc-by-nd-4.0 #region-us \n# Chest X-rays (Indiana University)\n\nCopy of the kaggle dataset: URL created by raddar\n\n---\nOpen access chest X-ray collection from Indiana University\n\nOriginal source: URL\n\nOriginal images were downloaded in raw... |
0cc3fde60491c824405f4b9799bab32cb87627f7 | # Dataset Card for "oasst1-guanaco-damo-convai-pro"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chansurgeplus/oasst1-guanaco-damo-convai-pro | [
"region:us"
] | 2023-09-27T10:46:40+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "prefix", "sequence": "string"}, {"name": "suffix", "sequence": "string"}, {"name": "reward", "sequence": "float64"}, {"name": "sft_index... | 2023-09-27T10:46:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "oasst1-guanaco-damo-convai-pro"
More Information needed | [
"# Dataset Card for \"oasst1-guanaco-damo-convai-pro\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"oasst1-guanaco-damo-convai-pro\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"oasst1-guanaco-damo-convai-pro\"\n\nMore Information needed"
] |
6109a71f3fa10ce5a4d5498d683d67082ef0756a | # Dataset Card for "climate-krakow-temp-monthly"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vitaliy-sharandin/climate-krakow-temp-monthly | [
"region:us"
] | 2023-09-27T10:53:55+00:00 | {"dataset_info": {"features": [{"name": "Absolute maximum temperature [\u00b0C]", "dtype": "float64"}, {"name": "Absolute minimum temperature [\u00b0C]", "dtype": "float64"}, {"name": "Average monthly temperature [\u00b0C]", "dtype": "float64"}, {"name": "dt", "dtype": "timestamp[ns]"}], "splits": [{"name": "train", "n... | 2023-09-27T10:57:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "climate-krakow-temp-monthly"
More Information needed | [
"# Dataset Card for \"climate-krakow-temp-monthly\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"climate-krakow-temp-monthly\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"climate-krakow-temp-monthly\"\n\nMore Information needed"
] |
0098ab85ad9c2029aaaaed76be4a1f8e6c849ffb |
# Dataset of ulrich_von_hutten/ウルリッヒ・フォン・フッテン/乌尔里希·冯·胡滕 (Azur Lane)
This is the dataset of ulrich_von_hutten/ウルリッヒ・フォン・フッテン/乌尔里希·冯·胡滕 (Azur Lane), containing 319 images and their tags.
The core tags of this character are `black_hair, horns, yellow_eyes, short_hair, breasts, multicolored_hair, red_horns, bangs, hair_... | CyberHarem/ulrich_von_hutten_azurlane | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-27T11:12:36+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-13T04:42:45+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of ulrich\_von\_hutten/ウルリッヒ・フォン・フッテン/乌尔里希·冯·胡滕 (Azur Lane)
===================================================================
This is the dataset of ulrich\_von\_hutten/ウルリッヒ・フォン・フッテン/乌尔里希·冯·胡滕 (Azur Lane), containing 319 images and their tags.
The core tags of this character are 'black\_hair, horns, yell... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
44,
61,
5,
4
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\... |
eb38523d2e9af58c27a81117377353e5942a104f | # Dataset Card for "TinyStories2-ascii-val-1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cyrilzhang/TinyStories2-ascii-val-1k | [
"region:us"
] | 2023-09-27T11:44:26+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 793968, "num_examples": 1000}], "download_size": 410730, "dataset_size": 793968}} | 2023-09-27T11:44:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "TinyStories2-ascii-val-1k"
More Information needed | [
"# Dataset Card for \"TinyStories2-ascii-val-1k\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"TinyStories2-ascii-val-1k\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"TinyStories2-ascii-val-1k\"\n\nMore Information needed"
] |
91ce15c4c33177f903f0217b8c9e0d1e5eff8548 | # Dataset Card for "Dubai_dataset-Aerial_Imagery_256x256" | ayoubkirouane/Dubai_dataset-Aerial_Imagery_256x256 | [
"region:us"
] | 2023-09-27T11:53:28+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 3716721.0, "num_examples": 72}], "download_size": 3719861, "dataset_size": 3716721.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "dat... | 2023-09-27T11:54:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Dubai_dataset-Aerial_Imagery_256x256" | [
"# Dataset Card for \"Dubai_dataset-Aerial_Imagery_256x256\""
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Dubai_dataset-Aerial_Imagery_256x256\""
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Dubai_dataset-Aerial_Imagery_256x256\""
] |
65337d84e1742aacc3a7978f07753255ed109c91 |
transscription of waste-classification-audio-deepl using whisper small asr model and its original before italian translation+text-to-speech+italian-to-english asr. | thomasavare/deepl_output | [
"language:en",
"region:us"
] | 2023-09-27T11:58:32+00:00 | {"language": ["en"]} | 2023-11-23T00:02:50+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
|
transscription of waste-classification-audio-deepl using whisper small asr model and its original before italian translation+text-to-speech+italian-to-english asr. | [] | [
"TAGS\n#language-English #region-us \n"
] | [
10
] | [
"passage: TAGS\n#language-English #region-us \n"
] |
486379681a382da39ab73bed0df295221da38104 | # Dataset Card for "gtzan-encoded"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | naorm/gtzan-encoded | [
"region:us"
] | 2023-09-27T12:02:27+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "blues", "1": "classical", "2": "country", "3": "disco", "4": "hiphop", "5": "jazz", "6... | 2023-09-27T12:04:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gtzan-encoded"
More Information needed | [
"# Dataset Card for \"gtzan-encoded\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"gtzan-encoded\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"gtzan-encoded\"\n\nMore Information needed"
] |
905b6205aec3a8a8b626195e5d882f8ede4e22f1 | # Dataset Card for "guanaco-llama2-200"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mehta77/guanaco-llama2-200 | [
"region:us"
] | 2023-09-27T12:08:12+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 338808, "num_examples": 200}], "download_size": 0, "dataset_size": 338808}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-27T12:50:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "guanaco-llama2-200"
More Information needed | [
"# Dataset Card for \"guanaco-llama2-200\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"guanaco-llama2-200\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"guanaco-llama2-200\"\n\nMore Information needed"
] |
6324c60311a1f0754c4c4ff00da36d8e77b6ea29 |
# Dataset Card for DrawBench
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboar... | shunk031/DrawBench | [
"task_categories:text-to-image",
"annotations_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"license:unknown",
"arxiv:2205.11487",
"region:us"
] | 2023-09-27T12:10:40+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": [], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-to-image"], "task_ids": [], "pretty_name": "DrawBench", "tags": []} | 2023-09-27T12:13:31+00:00 | [
"2205.11487"
] | [
"en"
] | TAGS
#task_categories-text-to-image #annotations_creators-crowdsourced #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-unknown #arxiv-2205.11487 #region-us
|
# Dataset Card for DrawBench
## Table of Contents
- Dataset Card Creation Guide
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation ... | [
"# Dataset Card for DrawBench",
"## Table of Contents\n- Dataset Card Creation Guide\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 Creat... | [
"TAGS\n#task_categories-text-to-image #annotations_creators-crowdsourced #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-unknown #arxiv-2205.11487 #region-us \n",
"# Dataset Card for DrawBench",
"## Table of Contents\n- Dataset Card Creation Guide\n - Tab... | [
77,
9,
162,
18,
6,
10,
23,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
19
] | [
"passage: TAGS\n#task_categories-text-to-image #annotations_creators-crowdsourced #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-unknown #arxiv-2205.11487 #region-us \n# Dataset Card for DrawBench## Table of Contents\n- Dataset Card Creation Guide\n - Table ... |
3d5bed8cf3db5b7b4f44415c15cb17fc8d8b08b9 | # Dataset Card for "6155933b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/6155933b | [
"region:us"
] | 2023-09-27T12:21:57+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 215, "num_examples": 10}], "download_size": 1402, "dataset_size": 215}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-27T12:21:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "6155933b"
More Information needed | [
"# Dataset Card for \"6155933b\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"6155933b\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"6155933b\"\n\nMore Information needed"
] |
4421a3a81f030dc7aa8783143a2c5d87240b690a | # Dataset Card for "paraphrasing"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ismailiismail/paraphrasing_french | [
"region:us"
] | 2023-09-27T12:22:59+00:00 | {"dataset_info": {"features": [{"name": "phrase", "dtype": "string"}, {"name": "paraphrase", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 637938, "num_examples": 2075}], "download_size": 329029, "dataset_size": 637938}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "... | 2023-09-27T13:35:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "paraphrasing"
More Information needed | [
"# Dataset Card for \"paraphrasing\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"paraphrasing\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"paraphrasing\"\n\nMore Information needed"
] |
6616a34b865922a0a077db45c7f3932bec4d5859 | # Dataset Card for "arc_hella_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Yehoon/arc_hella_test | [
"region:us"
] | 2023-09-27T12:28:14+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "gpt_label", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "options", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 298140,... | 2023-09-27T12:44:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "arc_hella_test"
More Information needed | [
"# Dataset Card for \"arc_hella_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"arc_hella_test\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"arc_hella_test\"\n\nMore Information needed"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.