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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9a1d9de442ec35d7058dca8b6f4ee18d1434a1f8 | # AutoTrain Dataset for project: hannah-jpg-test
## Dataset Description
This dataset has been automatically processed by AutoTrain for project hannah-jpg-test.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
``... | slushily/autotrain-data-hannah-jpg-test | [
"task_categories:image-classification",
"region:us"
] | 2023-01-11T12:27:58+00:00 | {"task_categories": ["image-classification"]} | 2023-01-11T12:30:06+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: hannah-jpg-test
==============================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project hannah-jpg-test.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### 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-image-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 ... | [
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"passage: TAGS\n#task_categories-image-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... |
e17505aed638ae4195205e002f821bbecfe685cd | # Dataset Card for "dreambooth-hackathon-images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | GeorgeBredis/dreambooth-hackathon-images | [
"region:us"
] | 2023-01-11T13:28:22+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 3118843.0, "num_examples": 42}], "download_size": 3118955, "dataset_size": 3118843.0}} | 2023-01-11T13:28:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dreambooth-hackathon-images"
More Information needed | [
"# Dataset Card for \"dreambooth-hackathon-images\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"dreambooth-hackathon-images\"\n\nMore Information needed"
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fd17def157bfb3f1dcb4a372dc0d49489c5c00e1 |
# Dataset Card for E3C
## Dataset Description
- **Homepage:** https://github.com/hltfbk/E3C-Corpus
- **PubMed** False
- **Public:** True
- **Tasks:** NER,RE
The European Clinical Case Corpus (E3C) project aims at collecting and \
annotating a large corpus of clinical documents in five European languages (Spanish, \... | bio-datasets/e3c | [
"region:us"
] | 2023-01-11T15:13:39+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "document_id", "dtype": "int32"}, {"name": "text", "dtype": "string"}, {"name": "passages", "list": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "offsets", "list": "int32"}]}, {"name": "entities", "list": [{"... | 2023-08-16T07:56:50+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for E3C
## Dataset Description
- Homepage: URL
- PubMed False
- Public: True
- Tasks: NER,RE
The European Clinical Case Corpus (E3C) project aims at collecting and \
annotating a large corpus of clinical documents in five European languages (Spanish, \
Basque, English, French and Italian), which will... | [
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6f7fdea52534b2bc1c83435305ca705f67aed30b | from datasets import load_dataset
dataset = load_dataset("argilla/banking_sentiment_zs_gpt3") | Mohamed-Ibrahim/Banking | [
"region:us"
] | 2023-01-11T15:22:13+00:00 | {} | 2023-01-11T15:22:53+00:00 | [] | [] | TAGS
#region-us
| from datasets import load_dataset
dataset = load_dataset("argilla/banking_sentiment_zs_gpt3") | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
db6213b37e27be48479ec72d0909328a7c3f515b | # Dataset Card for "mystery_box"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bakhuisdennis/mystery_box | [
"region:us"
] | 2023-01-11T16:30:19+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 454701.0, "num_examples": 249}], "download_size": 253139, "dataset_size": 454701.0}} | 2023-01-11T16:30:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mystery_box"
More Information needed | [
"# Dataset Card for \"mystery_box\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mystery_box\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"mystery_box\"\n\nMore Information needed"
] |
d2a17fba6e401fcf957a28a7706a63e3df6e4806 | # AutoTrain Dataset for project: improved-pidgin-model
## Dataset Description
This dataset has been automatically processed by AutoTrain for project improved-pidgin-model.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as ... | jamm55/freePidginDataset | [
"task_categories:translation",
"region:us"
] | 2023-01-11T17:39:46+00:00 | {"task_categories": ["translation"]} | 2023-01-11T17:42:05+00:00 | [] | [] | TAGS
#task_categories-translation #region-us
| AutoTrain Dataset for project: improved-pidgin-model
====================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project improved-pidgin-model.
### Languages
The BCP-47 code for the dataset's language is unk.
Datas... | [
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"### Dataset Splits\n\n\nThis d... | [
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0d5cbee5220a13b3c0701d3a165d70d006a35339 | https://github.com/Alicia-Parrish/ling_in_loop/
```bib
@inproceedings{parrish-etal-2021-putting-linguist,
title = "Does Putting a Linguist in the Loop Improve {NLU} Data Collection?",
author = "Parrish, Alicia and
Huang, William and
Agha, Omar and
Lee, Soo-Hwan and
Nangia, Nikita an... | tasksource/lingnli | [
"task_categories:text-classification",
"language:en",
"license:unknown",
"region:us"
] | 2023-01-11T20:59:56+00:00 | {"language": ["en"], "license": "unknown", "task_categories": ["text-classification"]} | 2023-05-31T07:40:53+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #license-unknown #region-us
| URL
| [] | [
"TAGS\n#task_categories-text-classification #language-English #license-unknown #region-us \n"
] | [
28
] | [
"passage: TAGS\n#task_categories-text-classification #language-English #license-unknown #region-us \n"
] |
cefdd2300894bf2329428d0262f60e2dd9e59a25 |
# Dataset Card for NeuCLIR1
## Dataset Description
- **Website:** https://neuclir.github.io/
- **Repository:** https://github.com/NeuCLIR/download-collection
### Dataset Summary
This is the dataset created for TREC 2022 NeuCLIR Track. The collection designed to be similar to HC4 and a large portion of documents fr... | neuclir/neuclir1 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1M<n<10M",
"source_datasets:extended|c4",
"language:fa",
"language:ru",
"language:zh",
"license:odc-by",
"region:us... | 2023-01-11T21:08:24+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["fa", "ru", "zh"], "license": ["odc-by"], "multilinguality": ["multilingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["extended|c4"], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "pretty_... | 2023-01-12T18:43:52+00:00 | [] | [
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] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-no-annotation #language_creators-found #multilinguality-multilingual #size_categories-1M<n<10M #source_datasets-extended|c4 #language-Persian #language-Russian #language-Chinese #license-odc-by #region-us
| Dataset Card for NeuCLIR1
=========================
Dataset Description
-------------------
* Website: URL
* Repository: URL
### Dataset Summary
This is the dataset created for TREC 2022 NeuCLIR Track. The collection designed to be similar to HC4 and a large portion of documents from HC4 are ported to this coll... | [
"### Dataset Summary\n\n\nThis is the dataset created for TREC 2022 NeuCLIR Track. The collection designed to be similar to HC4 and a large portion of documents from HC4 are ported to this collection.\nThe documents are Web pages from Common Crawl in Chinese, Persian, and Russian.",
"### Languages\n\n\n* Chinese\... | [
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6e7c86a2ae58a6ee84be59c71ef6ddf30904d95b |
# Dataset Card for HC4
## Dataset Description
- **Repository:** https://github.com/hltcoe/HC4
- **Paper:** https://arxiv.org/abs/2201.09992
### Dataset Summary
HC4 is a suite of test collections for ad hoc Cross-Language Information Retrieval (CLIR), with Common Crawl News documents in Chinese, Persian, and Russia... | neuclir/hc4 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1M<n<10M",
"source_datasets:extended|c4",
"language:fa",
"language:ru",
"language:zh",
"license:odc-by",
"arxiv:220... | 2023-01-11T21:10:06+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["fa", "ru", "zh"], "license": ["odc-by"], "multilinguality": ["multilingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["extended|c4"], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "pretty_... | 2023-01-17T09:38:31+00:00 | [
"2201.09992"
] | [
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#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-no-annotation #language_creators-found #multilinguality-multilingual #size_categories-1M<n<10M #source_datasets-extended|c4 #language-Persian #language-Russian #language-Chinese #license-odc-by #arxiv-2201.09992 #region-us
| Dataset Card for HC4
====================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
### Dataset Summary
HC4 is a suite of test collections for ad hoc Cross-Language Information Retrieval (CLIR), with Common Crawl News documents in Chinese, Persian, and Russian. The documents
are Web... | [
"### Dataset Summary\n\n\nHC4 is a suite of test collections for ad hoc Cross-Language Information Retrieval (CLIR), with Common Crawl News documents in Chinese, Persian, and Russian. The documents\nare Web pages from Common Crawl in Chinese, Persian, and Russian.",
"### Languages\n\n\n* Chinese\n* Persian\n* Rus... | [
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1d97f2ef58fef5d412f78d6e43e303f1ab4da4f3 | # AutoTrain Dataset for project: yempp
## Dataset Description
This dataset has been automatically processed by AutoTrain for project yempp.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"con... | Prajvi/autotrain-data-yempp | [
"region:us"
] | 2023-01-11T22:00:50+00:00 | {} | 2023-01-11T22:05:44+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: yempp
====================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project yempp.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Data Instan... | [
"### 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:",
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"### Dataset Splits\n\n\nThis d... | [
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665744d561f00355bd4b88b52bcce98deeba99ef | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: Aalaa/opt-125m-wikitext2
* Dataset: mathemakitten/winobias_antistereotype_dev
* Config: mathem... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_dev-mathemakitte-c87316-2844283322 | [
"autotrain",
"evaluation",
"region:us"
] | 2023-01-12T01:07:38+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_dev"], "eval_info": {"task": "text_zero_shot_classification", "model": "Aalaa/opt-125m-wikitext2", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_dev", "dataset_config": "mathemakitten... | 2023-01-12T01:08:25+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: Aalaa/opt-125m-wikitext2
* Dataset: mathemakitten/winobias_antistereotype_dev
* Config: mathemakitten--winobias_antistereotype_dev... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: Aalaa/opt-125m-wikitext2\n* Dataset: mathemakitten/winobias_antistereotype_dev\n* Config: mathemakitten--winobias_antist... | [
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0e78936d0863db202c267520f8ce9a535df59240 | # Dataset Card for "bookcorpus_compact_1024_shard0_meta"
132 hours to finish
num_examples: 61605
size: 1.5GB
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_shard0_of_10_meta | [
"region:us"
] | 2023-01-12T01:45:55+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}, {"name": "cid_arrangement", "sequence": "int32"}, {"name": "schema_lengths", "sequence": "int64"}, {"name": "topic_entity_mask", "sequence": "int64"}, {"name": "text_lengths", "sequence": "int64"}], "... | 2023-01-12T20:59:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_1024_shard0_meta"
132 hours to finish
num_examples: 61605
size: 1.5GB
More Information needed | [
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] |
3fb7212c389d7818b8e6179e2cdac762f2e081d9 |
# Dataset Card for WRIME
[](https://github.com/shunk031/huggingface-datasets_wrime/actions/workflows/ci.yaml)
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
... | shunk031/wrime | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"language:ja",
"license:unknown",
"sentiment-analysis",
"wrime",
"region:us"
] | 2023-01-12T03:04:20+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ja"], "license": ["unknown"], "multilinguality": ["monolingual"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name": "wrime", "tags": ["sentiment-analysis", "wrime"], "datase... | 2023-01-15T03:39:01+00:00 | [] | [
"ja"
] | TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #language-Japanese #license-unknown #sentiment-analysis #wrime #region-us
| Dataset Card for WRIME
======================
![CI](URL
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ ... | [
"### Dataset Summary\n\n\nIn this study, we introduce a new dataset, WRIME, for emotional intensity estimation. We collect both the subjective emotional intensity ofthe writers themselves and the objective one annotated by the readers, and explore the differences between them. In our data collection, we hired 50 pa... | [
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afbd39edb1a160731fb6449bf3e2fb27b26f537b | # Dataset Card for "bookcorpus_compact_1024_shard8"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_shard8_of_10 | [
"region:us"
] | 2023-01-12T03:24:19+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 755424246, "num_examples": 61605}], "download_size": 380882733, "dataset_size": 755424246}} | 2023-01-12T03:27:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_1024_shard8"
More Information needed | [
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3c19b0488d794d30c36f73d132d8a22e64f42f2e | # Dataset Card for LogiQA
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
LogiQA is constructed from the logical comprehension problems from publically available questions of the National Civil Servants Examination of China, w... | lucasmccabe/logiqa | [
"task_categories:question-answering",
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] | 2023-01-12T04:14:53+00:00 | {"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"], "paperswithcode_id": "logiqa", "pretty_name": "LogiQA", "dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "query", "dtype": "string"}, {"name": "options", "sequence": {"dtype": "string"}}, {"nam... | 2023-02-08T01:51:31+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-English #region-us
| Dataset Card for LogiQA
=======================
Dataset Description
-------------------
* Homepage:
* Repository:
* Paper:
* Leaderboard:
* Point of Contact:
### Dataset Summary
LogiQA is constructed from the logical comprehension problems from publically available questions of the National Civil Servants Exami... | [
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e7bab7c323d5794913b6a4ec1f75ebac70a4d3c6 | # Dataset Card for "bookcorpus_compact_1024_shard2_meta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_shard2_of_10_meta | [
"region:us"
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#region-us
| # Dataset Card for "bookcorpus_compact_1024_shard2_meta"
More Information needed | [
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c2bf86c6d0c1331a6aa950b61b2520dcface8532 |
# Dataset Card for aeroBERT-classification
## Dataset Description
- **Paper:** aeroBERT-Classifier: Classification of Aerospace Requirements using BERT
- **Point of Contact:** archanatikayatray@gmail.com
### Dataset Summary
This dataset contains requirements from the aerospace domain. The requirements are tagged b... | archanatikayatray/aeroBERT-classification | [
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| Dataset Card for aeroBERT-classification
========================================
Dataset Description
-------------------
* Paper: aeroBERT-Classifier: Classification of Aerospace Requirements using BERT
* Point of Contact: archanatikayatray@URL
### Dataset Summary
This dataset contains requirements from the ae... | [
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b718f8840ee0773ef9b96369007b38653085719b |
# Dataset Card for "Emoji_Dataset-Openmoji"
All data is 618*618 size *.png + text(4083 couple).
All emojis designed by OpenMoji(https://openmoji.org/) - the open-source emoji and icon project.
License: CC BY-SA 4.0
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how... | soypablo/Emoji_Dataset-Openmoji | [
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#size_categories-1K<n<10K #language-English #license-cc-by-sa-4.0 #region-us
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# Dataset Card for "Emoji_Dataset-Openmoji"
All data is 618*618 size *.png + text(4083 couple).
All emojis designed by OpenMoji(URL - the open-source emoji and icon project.
License: CC BY-SA 4.0
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91ebca14baafcf9dd528c2a9b444a61663b754dc |
A database of Wikipedia pages summarizes certain Natural Launage Processing Model applications. | SinonTM/Wiki-Scraper | [
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7fdf6211323d9578965652e717d3250883a15e30 |
# Dataset Card for "NER Model Tune"
## 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-inst... | ayuhamaro/ner-model-tune | [
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# Dataset Card for "NER Model Tune"
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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8214795c511cdc0da792e11058c3bb23fdba8687 | # Dataset Card for "dreambooth-hackathon-images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | akshaypt7/dreambooth-hackathon-images | [
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#region-us
| # Dataset Card for "dreambooth-hackathon-images"
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2728cd590cbac25cf7231203035c88b2f5e8b5ff | # Dataset Card for "free_marco"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bhavnicksm/free_marco | [
"region:us"
] | 2023-01-12T08:07:55+00:00 | {"dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 25790184.920231506, "num_examples": 55578}, {"name": "train", "num_bytes": 238011027.40998867, "num_examples": 502939}, {"na... | 2023-01-16T08:38:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "free_marco"
More Information needed | [
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d47c1f0110dc50b716f3c61e2110dbfcd73b1788 |
<h1>This dataset is used to train AI how to use python.</h1> | derchr/py | [
"license:bigscience-openrail-m",
"region:us"
] | 2023-01-12T09:15:53+00:00 | {"license": "bigscience-openrail-m"} | 2023-01-12T09:21:37+00:00 | [] | [] | TAGS
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2f06f7ce1fdca18a088e689c64a3eac5c3788a78 | # Dataset Card for "analysed-diff-metadata"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mamiksik/analysed-diff-metadata | [
"region:us"
] | 2023-01-12T09:58:34+00:00 | {"dataset_info": {"features": [{"name": "sha", "dtype": "string"}, {"name": "author", "dtype": "string"}, {"name": "committer", "dtype": "string"}, {"name": "message", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "subject_length", "dtype": "float64"}, {"name": "is_chore", "dtype": "bool"}, {"nam... | 2023-01-17T14:31:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "analysed-diff-metadata"
More Information needed | [
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e4cd8ce4cf25ff25443e7b64657665a5735e5eb7 | # Dataset Card for "squad_id"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rahmanfadhil/squad_v2_id | [
"region:us"
] | 2023-01-12T11:01:07+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "struct": [{"name": "answer_start", "sequence": "int32"}, {"name": "text", "sequence": "string"}]}], "splits": [{"n... | 2023-01-12T11:14:51+00:00 | [] | [] | TAGS
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| # Dataset Card for "squad_id"
More Information needed | [
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4459a61365cbfc407774c2093b966bfdc12a1f06 | # Dataset Card for "chicago_early_childhood_education_centers"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dmargutierrez/chicago_early_childhood_education_centers | [
"region:us"
] | 2023-01-12T11:04:04+00:00 | {"dataset_info": {"features": [{"name": "Id", "dtype": "int64"}, {"name": "Site name", "dtype": "string"}, {"name": "Address", "dtype": "string"}, {"name": "Zip", "dtype": "float64"}, {"name": "Phone", "dtype": "float64"}, {"name": "Program Name", "dtype": "string"}, {"name": "Length of Day", "dtype": "string"}, {"name... | 2023-01-12T11:04:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chicago_early_childhood_education_centers"
More Information needed | [
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b9c1e53e23999d2cd6ff4edc2441cc0c5b224c37 | # Dataset Card for "c_corpus_br_finetuning_language_model_bert"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rosimeirecosta/c_corpus_br_finetuning_language_model_bert | [
"region:us"
] | 2023-01-12T13:40:03+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36065567, "num_examples": 228736}, {"name": "validation", "num_bytes": 9012563, "num_examples": 57184}], "download_size": 0, "dataset_size": 45078130}} | 2023-01-12T14:37:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "c_corpus_br_finetuning_language_model_bert"
More Information needed | [
"# Dataset Card for \"c_corpus_br_finetuning_language_model_bert\"\n\nMore Information needed"
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3c830737fc5e984a6415d45923fa575c711338c7 | # Dataset Card for "danbooru_small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | leemeng/danbooru_small | [
"region:us"
] | 2023-01-12T13:40:20+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 215463820.99, "num_examples": 1953}], "download_size": 207744589, "dataset_size": 215463820.99}} | 2023-01-12T13:40:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "danbooru_small"
More Information needed | [
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c4a4cdc67b77fce148b45484a067957bf75ec4c3 | # Flickr30k (1K test set)
Original paper: [From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions](https://aclanthology.org/Q14-1006)
Homepage: https://shannon.cs.illinois.edu/DenotationGraph/
1K test set split from: http://cs.stanford.edu/people/karpathy... | nlphuji/flickr_1k_test_image_text_retrieval | [
"region:us"
] | 2023-01-12T14:36:57+00:00 | {} | 2023-01-14T19:54:08+00:00 | [] | [] | TAGS
#region-us
| # Flickr30k (1K test set)
Original paper: From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Homepage: URL
1K test set split from: URL
Bibtex:
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551c4f7667f06fa82b4ef0a07617bfc4cf324ac3 | # MSCOCO (5K test set)
Original paper: [Microsoft COCO: Common Objects in Context
](https://arxiv.org/abs/1405.0312)
Homepage: https://cocodataset.org/#home
5K test set split from: http://cs.stanford.edu/people/karpathy/deepimagesent/caption_datasets.zip
Bibtex:
```
@inproceedings{lin2014microsoft,
title={Microso... | nlphuji/mscoco_2014_5k_test_image_text_retrieval | [
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#arxiv-1405.0312 #region-us
| # MSCOCO (5K test set)
Original paper: Microsoft COCO: Common Objects in Context
Homepage: URL
5K test set split from: URL
Bibtex:
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0dcf8311cae5a45dee0ded3fea676a1551c1cd68 |
# Dataset Card for HumSet
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)... | nlp-thedeep/humset | [
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# Dataset Card for HumSet
## Table of Contents
- Table of Contents
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- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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- Annotations
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f573fc09166c8a89d17893edb74a4d9b3c6932f5 | # Dataset Card for "dreambooth-hackathon-images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hedronstone/dreambooth-hackathon-images | [
"region:us"
] | 2023-01-12T19:34:44+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1396946.0, "num_examples": 5}], "download_size": 1323697, "dataset_size": 1396946.0}} | 2023-01-12T19:34:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dreambooth-hackathon-images"
More Information needed | [
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5015082451567355c73261dcf2c9594b09501e41 | # Dataset Card for "Scored-Summarization-datasets"
A collection of Text summarization datasets geared towards training a multi-purpose text summarizer.
Each dataset is a parquet file with the following features.
#### default
- `text`: a `string` feature. The `source` document
- `summary`: a `string` feature. The summ... | jordiclive/scored_summarization_datasets | [
"region:us"
] | 2023-01-12T20:05:45+00:00 | {} | 2023-02-05T16:14:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Scored-Summarization-datasets"
A collection of Text summarization datasets geared towards training a multi-purpose text summarizer.
Each dataset is a parquet file with the following features.
#### default
- 'text': a 'string' feature. The 'source' document
- 'summary': a 'string' feature. The summ... | [
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5f9e666e90d0ddfd6413089f074019da08cdad52 |
## Dataset Description
- **Repository:** https://github.com/tscheepers/Wikipedia-Summary-Dataset
### Dataset Summary
This is a dataset that can be used for research into machine learning and natural language processing. It contains all titles and summaries (or introductions) of English Wikipedia articles, extracte... | jordiclive/wikipedia-summary-dataset | [
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#region-us
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### Dataset Summary
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57eb2a126dfb7d6637b724d9e4930873af99463b | # Dataset Card for "bookcorpus_compact_1024_shard6"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_shard6_of_10 | [
"region:us"
] | 2023-01-12T21:22:28+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 769286180, "num_examples": 61605}], "download_size": 387348752, "dataset_size": 769286180}} | 2023-01-12T21:23:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_1024_shard6"
More Information needed | [
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d8d4d9c0515278f4847e1081ea6571b4ec8ae317 | # Dataset Card for "magic_cards"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andrewljohnson/magic_cards | [
"region:us"
] | 2023-01-12T21:54:54+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 137488238.0, "num_examples": 102}], "download_size": 133768507, "dataset_size": 137488238.0}} | 2023-01-17T23:00:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "magic_cards"
More Information needed | [
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0f163d5662816ecef645ebc251a309ff8e1b79f5 | # Dataset Card for "banking77_MiniLM_embeddings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | argilla/banking77_MiniLM_embeddings | [
"region:us"
] | 2023-01-12T22:54:57+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "activate_my_card", "1": "age_limit", "2": "apple_pay_or_google_pay", "3": "atm_support", "4": "automatic_top_up", "5": "balance_not_updated_after_bank_transfer", "6": "balance_not_updated_afte... | 2023-01-12T22:55:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "banking77_MiniLM_embeddings"
More Information needed | [
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3af6cf2597934f8cf5d798e7a473b69ba454e18d | # Dataset Card for "Jan2023Abstracts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Corran/Jan2023Abstracts | [
"region:us"
] | 2023-01-13T01:45:31+00:00 | {"dataset_info": {"features": [{"name": "corpusid", "dtype": "int64"}, {"name": "openaccessinfo", "struct": [{"name": "externalids", "struct": [{"name": "ACL", "dtype": "string"}, {"name": "ArXiv", "dtype": "string"}, {"name": "DOI", "dtype": "string"}, {"name": "MAG", "dtype": "string"}, {"name": "PubMedCentral", "dty... | 2023-01-13T02:11:23+00:00 | [] | [] | TAGS
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More Information needed | [
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4b5332a8771b3f6388f8ecc51c2b8ade4be31c73 | SMS Spam Multilingual Collection Dataset
Collection of Multilingual SMS messages tagged as spam or legitimate
About Dataset
Context
The SMS Spam Collection is a set of SMS-tagged messages that have been collected for SMS Spam research. It originally contained one set of SMS messages in English of 5,574 messages, ta... | dbarbedillo/SMS_Spam_Multilingual_Collection_Dataset | [
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Collection of Multilingual SMS messages tagged as spam or legitimate
About Dataset
Context
The SMS Spam Collection is a set of SMS-tagged messages that have been collected for SMS Spam research. It originally contained one set of SMS messages in English of 5,574 messages, ta... | [] | [
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dabc787146a866488b1df9d0493bbff2169875d7 |
# Dataset Card for Wikipedia
This repo is a fork of the original Hugging Face Wikipedia repo [here](https://huggingface.co/datasets/wikipedia).
The difference is that this fork does away with the need for `apache-beam`, and this fork is very fast if you have a lot of CPUs on your machine.
It will use all CPUs availab... | reyoung/wikipedia | [
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# Dataset Card for Wikipedia
This repo is a fork of the original Hugging Face Wikipedia repo here.
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# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
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- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
[More Information Needed]
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset ... | JunRyeol/jr_dataset | [
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b04ef7c220aea95e783f65f26b8361a30bd38972 |
# Dataset Card for "WS POS Model Tune"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-i... | ayuhamaro/ws-pos-model-tune | [
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] | 2023-01-13T06:23:33+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["zh"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "papersw... | 2023-01-13T07:19:38+00:00 | [] | [
"zh"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Chinese #license-unknown #region-us
|
# Dataset Card for "WS POS Model Tune"
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sen... | [
"# Dataset Card for \"WS POS Model Tune\"",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotation... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Chinese #license-unknown #region-us \n",
"# Dataset Card for \"WS POS Model Tun... | [
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fb93d76be56463cbd79290166c016934059cab50 | # Dataset Card for "markhor-images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ihanif/markhor-images | [
"region:us"
] | 2023-01-13T11:38:26+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1008453.0, "num_examples": 15}], "download_size": 1005068, "dataset_size": 1008453.0}} | 2023-01-13T11:38:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "markhor-images"
More Information needed | [
"# Dataset Card for \"markhor-images\"\n\nMore Information needed"
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"# Dataset Card for \"markhor-images\"\n\nMore Information needed"
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88d756fe42b30317764ca8661c2c940dbb77b8ff |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | DFKI-SLT/fabner | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:other",
"manufacturing",
"2000-2020",
"region:us"
] | 2023-01-13T13:01:38+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "Fa... | 2023-04-05T22:20:21+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-other #manufacturing #2000-2020 #region-us
| Dataset Card for [Dataset Name]
===============================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationa... | [
"### Dataset Summary\n\n\nFabNER is a manufacturing text corpus of 350,000+ words for Named Entity Recognition.\nIt is a collection of abstracts obtained from Web of Science through known journals available in manufacturing process\nscience research.\nFor every word, there were categories/entity labels defined name... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-other #manufacturing #2000-2020 #region-us \n",
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8be26569c0e056f6ceb5adb58dcfce8d5da975b1 | # Dataset Card for "subj"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bstrai/subj | [
"region:us"
] | 2023-01-13T13:18:15+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "objective", "1": "subjective"}}}}, {"name": "label_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1231802, "num_examples": 8000}, {"name": "test", "num_bytes": 310282, "... | 2023-01-13T13:19:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "subj"
More Information needed | [
"# Dataset Card for \"subj\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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6d89b090e9c242901d919352a72f3e7008934f22 | # Dataset Card for "sentiment_analysis_batch"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | torileatherman/sentiment_analysis_batch | [
"region:us"
] | 2023-01-13T13:58:49+00:00 | {"dataset_info": {"features": [{"name": "Headline", "sequence": "int64"}, {"name": "Url", "dtype": "string"}, {"name": "Headline_string", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5984, "num_examples": 10}], "download_size": 3050, "dataset_size": 5984}} | 2023-01-14T09:46:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sentiment_analysis_batch"
More Information needed | [
"# Dataset Card for \"sentiment_analysis_batch\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"sentiment_analysis_batch\"\n\nMore Information needed"
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c71253cb92ca07b1cd70aff448f87b390d766f84 | # Dataset Card for "SPC-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Spaiche/SPC | [
"region:us"
] | 2023-01-13T14:36:29+00:00 | {"dataset_info": {"features": [{"name": "client_id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}, {"name": "up_votes", "dtype": "float64"}, {"name": "down_votes", "dtype": "float64"}, {"name": "age", "dtype": "float64"}, {"name": "gender",... | 2023-01-13T14:57:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SPC-v2"
More Information needed | [
"# Dataset Card for \"SPC-v2\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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467c79529f58ac5e0d133111cf9dad0a7f94a113 | # Dataset Card for "bookcorpus_compact_1024_shard3_meta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_shard3_of_10_meta | [
"region:us"
] | 2023-01-13T17:09:16+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}, {"name": "cid_arrangement", "sequence": "int32"}, {"name": "schema_lengths", "sequence": "int64"}, {"name": "topic_entity_mask", "sequence": "int64"}, {"name": "text_lengths", "sequence": "int64"}], "... | 2023-01-13T17:13:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_1024_shard3_meta"
More Information needed | [
"# Dataset Card for \"bookcorpus_compact_1024_shard3_meta\"\n\nMore Information needed"
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33c49b76fcf3a18b0d521d8e760c88d49f3e47bc |
# textures-color-1k
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data... | dream-textures/textures-color-1k | [
"task_categories:text-to-image",
"size_categories:1K<n<10K",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2023-01-13T17:27:40+00:00 | {"language": ["en"], "license": "cc0-1.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-to-image"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 60933571.47, "num_examples": 1426}], "download_size": 58351... | 2023-01-13T17:54:04+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #size_categories-1K<n<10K #language-English #license-cc0-1.0 #region-us
| textures-color-1k
=================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
* Additional Information
+ Dataset Curators
... | [
"### Dataset Summary\n\n\nThe 'textures-color-1k' dataset is an image dataset of 1000+ color image textures in 512x512 resolution with associated text descriptions.\nThe dataset was created for training/fine-tuning diffusion models on texture generation tasks.\nIt contains a combination of CC0 procedural and photos... | [
"TAGS\n#task_categories-text-to-image #size_categories-1K<n<10K #language-English #license-cc0-1.0 #region-us \n",
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"passage: TAGS\n#task_categories-text-to-image #size_categories-1K<n<10K #language-English #license-cc0-1.0 #region-us \n### Dataset Summary\n\n\nThe 'textures-color-1k' dataset is an image dataset of 1000+ color image textures in 512x512 resolution with associated text descriptions.\nThe dataset was created for tr... |
a75ba66c91c2031dc20c977cf058897430c8b77c |
# textures-normal-1k
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Dat... | dream-textures/textures-normal-1k | [
"task_categories:text-to-image",
"size_categories:1K<n<10K",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2023-01-13T19:44:42+00:00 | {"language": ["en"], "license": "cc0-1.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-to-image"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 59834059.794, "num_examples": 1447}], "download_size": 5217... | 2023-01-13T21:17:22+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #size_categories-1K<n<10K #language-English #license-cc0-1.0 #region-us
| textures-normal-1k
==================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
* Additional Information
+ Dataset Curators... | [
"### Dataset Summary\n\n\nThe 'textures-normal-1k' dataset is an image dataset of 1000+ normal map textures in 512x512 resolution with associated text descriptions.\nThe dataset was created for training/fine-tuning models for text to image tasks.\nIt contains a combination of CC0 procedural and photoscanned PBR mat... | [
"TAGS\n#task_categories-text-to-image #size_categories-1K<n<10K #language-English #license-cc0-1.0 #region-us \n",
"### Dataset Summary\n\n\nThe 'textures-normal-1k' dataset is an image dataset of 1000+ normal map textures in 512x512 resolution with associated text descriptions.\nThe dataset was created for train... | [
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0856ebb9a85405303a2227fbf41ae814f49fe7d0 |
# textures-color-normal-1k
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits... | dream-textures/textures-color-normal-1k | [
"task_categories:image-to-image",
"size_categories:1K<n<10K",
"license:cc0-1.0",
"region:us"
] | 2023-01-13T21:14:42+00:00 | {"license": "cc0-1.0", "size_categories": ["1K<n<10K"], "task_categories": ["image-to-image"], "dataset_info": {"features": [{"name": "color", "dtype": "image"}, {"name": "normal", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 110631687.194, "num_examples": 1426}], "download_size": 111043422, "dataset_s... | 2023-01-13T21:20:22+00:00 | [] | [] | TAGS
#task_categories-image-to-image #size_categories-1K<n<10K #license-cc0-1.0 #region-us
| textures-color-normal-1k
========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
* Additional Information
+ Dataset Curators
... | [
"### Dataset Summary\n\n\nThe 'textures-color-normal-1k' dataset is an image dataset of 1000+ color and normal map textures in 512x512 resolution.\nThe dataset was created for use in image to image tasks.\nIt contains a combination of CC0 procedural and photoscanned PBR materials from ambientCG.\n\n\nDataset Struct... | [
"TAGS\n#task_categories-image-to-image #size_categories-1K<n<10K #license-cc0-1.0 #region-us \n",
"### Dataset Summary\n\n\nThe 'textures-color-normal-1k' dataset is an image dataset of 1000+ color and normal map textures in 512x512 resolution.\nThe dataset was created for use in image to image tasks.\nIt contain... | [
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dec357dbbae0a9f4b6bc67c88181671df4da6140 | This dataset contains a pre-processed version from Wikipedia suitable for semantic search.
You can load the dataset like this:
```python
from datasets import load_dataset
lang = 'en'
data = load_dataset(f"Cohere/wikipedia-22-12", lang, split='train', streaming=True)
for row in data:
print(row)
break
```
This w... | Cohere/wikipedia-22-12 | [
"region:us"
] | 2023-01-13T21:52:20+00:00 | {} | 2023-02-22T15:58:09+00:00 | [] | [] | TAGS
#region-us
| This dataset contains a pre-processed version from Wikipedia suitable for semantic search.
You can load the dataset like this:
This will load the dataset in a streaming mode (so that you don't need to download the whole dataset) and you can process it row-by-row.
The articles are splitted into paragraphs. Further,... | [
"## Semantic Search Embeddings\n\nWe also provide versions where documents have been embedded using the cohere multilingual embedding model, \ne.g. wikipedia-22-12-en-embeddings contains the paragraphs and their respective embeddings for English.\nYou can find the embeddings for other languages in the datasets 'wik... | [
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"passage: TAGS\n#region-us \n## Semantic Search Embeddings\n\nWe also provide versions where documents have been embedded using the cohere multilingual embedding model, \ne.g. wikipedia-22-12-en-embeddings contains the paragraphs and their respective embeddings for English.\nYou can find the embeddings for other la... |
0699fb7d2b88b13b296b5cbf0ea0a10b84e99b3f |
# Wikipedia (hi) embedded with cohere.ai `multilingual-22-12` encoder
We encoded [Wikipedia (hi)](https://hi.wikipedia.org) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
To get an overview how this dataset was created and pre-processed, have a look at [Cohere/wikipe... | Cohere/wikipedia-22-12-hi-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:hi",
"license:apache-2.0",
"region:us"
] | 2023-01-13T23:14:15+00:00 | {"annotations_creators": ["expert-generated"], "language": ["hi"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-03-22T16:53:57+00:00 | [] | [
"hi"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Hindi #license-apache-2.0 #region-us
|
# Wikipedia (hi) embedded with URL 'multilingual-22-12' encoder
We encoded Wikipedia (hi) using the URL 'multilingual-22-12' embedding model.
To get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.
## Embeddings
We compute for 'title+" "+text' the embeddings using ... | [
"# Wikipedia (hi) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (hi) using the URL 'multilingual-22-12' embedding model.\n\nTo get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.",
"## Embeddings\nWe compute for 'title+\" \"+text' the emb... | [
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4f804e9c5125f60783ac45d15ed2687c69489f07 |
# Wikipedia (simple English) embedded with cohere.ai `multilingual-22-12` encoder
We encoded [Wikipedia (simple English)](https://simple.wikipedia.org) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
To get an overview how this dataset was created and pre-processed, h... | Cohere/wikipedia-22-12-simple-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"multilinguality:multilingual",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-01-13T23:25:25+00:00 | {"language": ["en"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-03-22T16:56:34+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #multilinguality-multilingual #language-English #license-apache-2.0 #region-us
|
# Wikipedia (simple English) embedded with URL 'multilingual-22-12' encoder
We encoded Wikipedia (simple English) using the URL 'multilingual-22-12' embedding model.
To get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.
## Embeddings
We compute for 'title+" "+tex... | [
"# Wikipedia (simple English) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (simple English) using the URL 'multilingual-22-12' embedding model.\n\nTo get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.",
"## Embeddings\nWe compute for 't... | [
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caf814d284f0c7cdf873c1d8d091a3d3b7d9e6db |
# Wikipedia (ko) embedded with cohere.ai `multilingual-22-12` encoder
We encoded [Wikipedia (ko)](https://ko.wikipedia.org) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
To get an overview how this dataset was created and pre-processed, have a look at [Cohere/wikipe... | Cohere/wikipedia-22-12-ko-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"multilinguality:multilingual",
"language:ko",
"license:apache-2.0",
"region:us"
] | 2023-01-13T23:51:11+00:00 | {"language": ["ko"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-03-22T16:55:35+00:00 | [] | [
"ko"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #multilinguality-multilingual #language-Korean #license-apache-2.0 #region-us
|
# Wikipedia (ko) embedded with URL 'multilingual-22-12' encoder
We encoded Wikipedia (ko) using the URL 'multilingual-22-12' embedding model.
To get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.
## Embeddings
We compute for 'title+" "+text' the embeddings using ... | [
"# Wikipedia (ko) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (ko) using the URL 'multilingual-22-12' embedding model.\n\nTo get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.",
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864ed9e578765742ee3bb0ee5713090bf6a8a31a |
# Wikipedia (zh) embedded with cohere.ai `multilingual-22-12` encoder
We encoded [Wikipedia (zh)](https://zh.wikipedia.org) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
To get an overview how this dataset was created and pre-processed, have a look at [Cohere/wikipe... | Cohere/wikipedia-22-12-zh-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"multilinguality:multilingual",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2023-01-14T00:44:03+00:00 | {"language": ["zh"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-03-22T16:55:57+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #multilinguality-multilingual #language-Chinese #license-apache-2.0 #region-us
|
# Wikipedia (zh) embedded with URL 'multilingual-22-12' encoder
We encoded Wikipedia (zh) using the URL 'multilingual-22-12' embedding model.
To get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.
## Embeddings
We compute for 'title+" "+text' the embeddings using ... | [
"# Wikipedia (zh) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (zh) using the URL 'multilingual-22-12' embedding model.\n\nTo get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.",
"## Embeddings\nWe compute for 'title+\" \"+text' the emb... | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #multilinguality-multilingual #language-Chinese #license-apache-2.0 #region-us \n",
"# Wikipedia (zh) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (zh) using the URL 'multilingual-22-12' embedding model.\n\nTo get an ove... | [
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ea5f00014bd7626aa55affb07de57d519ab3309a |
# Wikipedia (ar) embedded with cohere.ai `multilingual-22-12` encoder
We encoded [Wikipedia (ar)](https://ar.wikipedia.org) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
To get an overview how this dataset was created and pre-processed, have a look at [Cohere/wikipe... | Cohere/wikipedia-22-12-ar-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:ar",
"license:apache-2.0",
"region:us"
] | 2023-01-14T02:00:24+00:00 | {"annotations_creators": ["expert-generated"], "language": ["ar"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-03-22T16:52:28+00:00 | [] | [
"ar"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Arabic #license-apache-2.0 #region-us
|
# Wikipedia (ar) embedded with URL 'multilingual-22-12' encoder
We encoded Wikipedia (ar) using the URL 'multilingual-22-12' embedding model.
To get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.
## Embeddings
We compute for 'title+" "+text' the embeddings using ... | [
"# Wikipedia (ar) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (ar) using the URL 'multilingual-22-12' embedding model.\n\nTo get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.",
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40586a9887f2d274e10e7d365c349b69eb4a03e4 |
# Wikipedia (ja) embedded with cohere.ai `multilingual-22-12` encoder
We encoded [Wikipedia (ja)](https://ja.wikipedia.org) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
To get an overview how this dataset was created and pre-processed, have a look at [Cohere/wikipe... | Cohere/wikipedia-22-12-ja-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"multilinguality:multilingual",
"language:ja",
"license:apache-2.0",
"region:us"
] | 2023-01-14T03:52:53+00:00 | {"language": ["ja"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-03-22T16:55:06+00:00 | [] | [
"ja"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #multilinguality-multilingual #language-Japanese #license-apache-2.0 #region-us
|
# Wikipedia (ja) embedded with URL 'multilingual-22-12' encoder
We encoded Wikipedia (ja) using the URL 'multilingual-22-12' embedding model.
To get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.
## Embeddings
We compute for 'title+" "+text' the embeddings using ... | [
"# Wikipedia (ja) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (ja) using the URL 'multilingual-22-12' embedding model.\n\nTo get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.",
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c6d28bb2d58ca7d0b9ebc20196c2acf47afa5270 | # Dataset Card for "bookcorpus_compact_512_shard6"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_512_shard6_of_10 | [
"region:us"
] | 2023-01-14T04:59:41+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 804636647, "num_examples": 121933}], "download_size": 401996995, "dataset_size": 804636647}} | 2023-01-14T05:00:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_512_shard6"
More Information needed | [
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cf0ab57fee5fbdf26d83e5859c988a2deb62d20d | # Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
[More Information Needed]
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset S... | miguelinc/oratorialab | [
"task_categories:image-classification",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-14T05:38:53+00:00 | {"license": "cc-by-sa-4.0", "task_categories": ["image-classification"]} | 2023-01-14T06:03:58+00:00 | [] | [] | TAGS
#task_categories-image-classification #license-cc-by-sa-4.0 #region-us
| # Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
### Supported Tasks and Leaderboards
### Languages
## Dataset Structure
### Data Instances
### Data Fields
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06b607a6df4e7453140e3d0c4cd77c0c061f91f2 |
Dataset for anime person detection.
| Dataset | Train | Test | Validate | Description ... | deepghs/anime_person_detection | [
"task_categories:object-detection",
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-01-14T06:50:46+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["object-detection"], "tags": ["art"]} | 2023-05-18T15:26:42+00:00 | [] | [] | TAGS
#task_categories-object-detection #size_categories-1K<n<10K #license-mit #art #region-us
| Dataset for anime person detection.
The best practice is to combine the 'AniDet3.v3i' dataset with the 'v1.1' dataset for training. We provide an online demo.
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7a8645307c759f22190194336b0e27c36949d1b5 |
# Wikipedia (it) embedded with cohere.ai `multilingual-22-12` encoder
We encoded [Wikipedia (it)](https://it.wikipedia.org) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
To get an overview how this dataset was created and pre-processed, have a look at [Cohere/wikipe... | Cohere/wikipedia-22-12-it-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:it",
"license:apache-2.0",
"region:us"
] | 2023-01-14T07:01:23+00:00 | {"annotations_creators": ["expert-generated"], "language": ["it"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-03-22T16:54:18+00:00 | [] | [
"it"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Italian #license-apache-2.0 #region-us
|
# Wikipedia (it) embedded with URL 'multilingual-22-12' encoder
We encoded Wikipedia (it) using the URL 'multilingual-22-12' embedding model.
To get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.
## Embeddings
We compute for 'title+" "+text' the embeddings using ... | [
"# Wikipedia (it) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (it) using the URL 'multilingual-22-12' embedding model.\n\nTo get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.",
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dac7bbcb9c7deeb898b12859a2ea9d5b0c1ecc91 | # Dataset Card for "AToMiC-All-Images_wi-pixels"
## Dataset Description
- **Homepage:** [AToMiC homepage](https://trec-atomic.github.io/)
- **Source:** [WIT](https://github.com/google-research-datasets/wit)
- **Paper:** [WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning](https://arx... | TREC-AToMiC/AToMiC-Images-v0.2 | [
"size_categories:100M<n<1B",
"license:cc-by-sa-4.0",
"arxiv:2103.01913",
"region:us"
] | 2023-01-14T08:12:44+00:00 | {"license": "cc-by-sa-4.0", "size_categories": ["100M<n<1B"], "dataset_info": {"features": [{"name": "image_url", "dtype": "string"}, {"name": "image_id", "dtype": "string"}, {"name": "language", "sequence": "string"}, {"name": "caption_reference_description", "sequence": "string"}, {"name": "caption_alt_text_descripti... | 2023-02-14T21:29:39+00:00 | [
"2103.01913"
] | [] | TAGS
#size_categories-100M<n<1B #license-cc-by-sa-4.0 #arxiv-2103.01913 #region-us
| # Dataset Card for "AToMiC-All-Images_wi-pixels"
## Dataset Description
- Homepage: AToMiC homepage
- Source: WIT
- Paper: WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
### Languages
The dataset contains 108 languages in Wikipedia.
### Data Instances
Each instance is an imag... | [
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578971f00bb25e8f8908d85555aa2328767dbe0f | # Dataset Card for "lesion_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pranav456/lesion_dataset | [
"region:us"
] | 2023-01-14T09:15:59+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "AK", "1": "BCC", "2": "BKL", "3": "DF", "4": "MEL", "5": "NV", "6": "SCC", "7": "VASC"}}}}], "splits": [{"name": "train", "num_bytes": 119842603.034, "num_examples": 20262}, {"name": "test", "... | 2023-01-14T09:16:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lesion_dataset"
More Information needed | [
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1cf719df8656d336007786980ce361ae2a85ebdb | # Urdu Summarization
## Dataset Overview
The Urdu Summarization dataset contains news articles in Urdu language along with their summaries. The dataset contains a total of 48,071 news articles collected from the BBC Urdu website. Each article is labeled with its headline, summary, and full text.
## Dataset Details
Th... | mwz/ursum | [
"task_categories:summarization",
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:ur",
"license:mit",
"region:us"
] | 2023-01-14T09:24:32+00:00 | {"language": ["ur"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["summarization", "text-generation", "text2text-generation"], "pretty_name": "ursum"} | 2023-05-14T12:03:37+00:00 | [] | [
"ur"
] | TAGS
#task_categories-summarization #task_categories-text-generation #task_categories-text2text-generation #size_categories-10K<n<100K #language-Urdu #license-mit #region-us
| # Urdu Summarization
## Dataset Overview
The Urdu Summarization dataset contains news articles in Urdu language along with their summaries. The dataset contains a total of 48,071 news articles collected from the BBC Urdu website. Each article is labeled with its headline, summary, and full text.
## Dataset Details
Th... | [
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cdd07f2970e393b42b3a1a7b5c4b24fd11737a98 |
# Wikipedia (es) embedded with cohere.ai `multilingual-22-12` encoder
We encoded [Wikipedia (es)](https://es.wikipedia.org) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
To get an overview how this dataset was created and pre-processed, have a look at [Cohere/wikipe... | Cohere/wikipedia-22-12-es-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:es",
"license:apache-2.0",
"region:us"
] | 2023-01-14T12:01:41+00:00 | {"annotations_creators": ["expert-generated"], "language": ["es"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-03-22T16:53:23+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Spanish #license-apache-2.0 #region-us
|
# Wikipedia (es) embedded with URL 'multilingual-22-12' encoder
We encoded Wikipedia (es) using the URL 'multilingual-22-12' embedding model.
To get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.
## Embeddings
We compute for 'title+" "+text' the embeddings using ... | [
"# Wikipedia (es) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (es) using the URL 'multilingual-22-12' embedding model.\n\nTo get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.",
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0c69f7a4cdd1de8d61250bc9f66e317dce589bfc | # Dataset Card for "lesion_dataset_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pranav456/lesion_dataset_1 | [
"region:us"
] | 2023-01-14T12:07:57+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "AK", "1": "BCC", "2": "BKL", "3": "DF", "4": "MEL", "5": "NV", "6": "SCC", "7": "VASC"}}}}], "splits": [{"name": "train", "num_bytes": 105488287.136, "num_examples": 17728}, {"name": "test", "... | 2023-01-14T12:08:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lesion_dataset_1"
More Information needed | [
"# Dataset Card for \"lesion_dataset_1\"\n\nMore Information needed"
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c42ce8e80187380e25cfe7fb7a4ef049cf22bf86 |
<div align="center">
<img width="640" alt="fcakyon/crack-instance-segmentation" src="https://huggingface.co/datasets/fcakyon/crack-instance-segmentation/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['cracks-and-spalling', 'object']
```
### Number of Images
```json
{'valid': 73, 'test': 37, 'train'... | fcakyon/crack-instance-segmentation | [
"task_categories:image-segmentation",
"roboflow",
"roboflow2huggingface",
"region:us"
] | 2023-01-14T12:18:16+00:00 | {"task_categories": ["image-segmentation"], "tags": ["roboflow", "roboflow2huggingface"]} | 2023-01-14T13:08:27+00:00 | [] | [] | TAGS
#task_categories-image-segmentation #roboflow #roboflow2huggingface #region-us
|
<div align="center">
<img width="640" alt="fcakyon/crack-instance-segmentation" src="URL
</div>
### Dataset Labels
### Number of Images
### How to Use
- Install datasets:
- Load the dataset:
### Roboflow Dataset Page
URL
### License
CC BY 4.0
### Dataset Summary
This dataset was exported via URL on... | [
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b004b6a7be5f2bee712f8763e42b0aeadf19d586 |
<div align="center">
<img width="640" alt="fcakyon/pokemon-classification" src="https://huggingface.co/datasets/fcakyon/pokemon-classification/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['Golbat', 'Machoke', 'Omastar', 'Diglett', 'Lapras', 'Kabuto', 'Persian', 'Weepinbell', 'Golem', 'Dodrio', 'Raic... | fcakyon/pokemon-classification | [
"task_categories:image-classification",
"roboflow",
"roboflow2huggingface",
"Gaming",
"region:us"
] | 2023-01-14T12:47:57+00:00 | {"task_categories": ["image-classification"], "tags": ["roboflow", "roboflow2huggingface", "Gaming"]} | 2023-01-14T13:06:55+00:00 | [] | [] | TAGS
#task_categories-image-classification #roboflow #roboflow2huggingface #Gaming #region-us
|
<div align="center">
<img width="640" alt="fcakyon/pokemon-classification" src="URL
</div>
### Dataset Labels
### Number of Images
### How to Use
- Install datasets:
- Load the dataset:
### Roboflow Dataset Page
URL
### License
Public Domain
### Dataset Summary
This dataset was exported via URL on ... | [
"### Dataset Labels",
"### Number of Images",
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00235ee6a2cf9f43f6576327257783bcbcb1f3e2 |
# Wikipedia (fr) embedded with cohere.ai `multilingual-22-12` encoder
We encoded [Wikipedia (fr)](https://fr.wikipedia.org) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
To get an overview how this dataset was created and pre-processed, have a look at [Cohere/wikipe... | Cohere/wikipedia-22-12-fr-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:fr",
"license:apache-2.0",
"region:us"
] | 2023-01-14T13:09:16+00:00 | {"annotations_creators": ["expert-generated"], "language": ["fr"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-03-22T16:53:41+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-French #license-apache-2.0 #region-us
|
# Wikipedia (fr) embedded with URL 'multilingual-22-12' encoder
We encoded Wikipedia (fr) using the URL 'multilingual-22-12' embedding model.
To get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.
## Embeddings
We compute for 'title+" "+text' the embeddings using ... | [
"# Wikipedia (fr) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (fr) using the URL 'multilingual-22-12' embedding model.\n\nTo get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.",
"## Embeddings\nWe compute for 'title+\" \"+text' the emb... | [
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8095c7585f73e5419fbe6ee0fc59b7871a249d78 | # AutoTrain Dataset for project: books-rating-analysis
## Dataset Description
This dataset has been automatically processed by AutoTrain for project books-rating-analysis.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as f... | LewisShanghai/autotrain-data-books-rating-analysis | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2023-01-14T13:27:44+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2023-01-14T14:31:43+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: books-rating-analysis
====================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project books-rating-analysis.
### Languages
The BCP-47 code for the dataset's language is en.
Datase... | [
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"### Dataset Splits\n\n\nThis da... | [
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5c5caf5f55c2eccc555f62fda2b111c408104e0a |
# Wikipedia (de) embedded with cohere.ai `multilingual-22-12` encoder
We encoded [Wikipedia (de)](https://de.wikipedia.org) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
To get an overview how this dataset was created and pre-processed, have a look at [Cohere/wikipe... | Cohere/wikipedia-22-12-de-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:de",
"license:apache-2.0",
"region:us"
] | 2023-01-14T13:41:14+00:00 | {"annotations_creators": ["expert-generated"], "language": ["de"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-03-22T16:52:49+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-German #license-apache-2.0 #region-us
|
# Wikipedia (de) embedded with URL 'multilingual-22-12' encoder
We encoded Wikipedia (de) using the URL 'multilingual-22-12' embedding model.
To get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.
## Embeddings
We compute for 'title+" "+text' the embeddings using ... | [
"# Wikipedia (de) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (de) using the URL 'multilingual-22-12' embedding model.\n\nTo get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.",
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7e99c707e2a35bf9926057f74f0e07d5c3df54dd | # Dataset Card for "Patents_Green_Plastics"
number of rows: 11.196
features: [title, label]
label: 0, 1
The dataset contains patent abstracts that are labeled as 1 (="Green Plastics") and 0 (="Not Green Plastics").
# Dataset Creation
The [BIGPATENT](https://huggingface.co/datasets/big_patent) dataset is... | cwinkler/patents_green_plastics | [
"size_categories:10K<n<100K",
"language:en",
"region:us"
] | 2023-01-14T14:25:09+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "dataset_info": {"features": [{"name": "abstract", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 8088461, "num_examples": 11196}], "download_size": 4025753, "dataset_size": 8088461}} | 2023-01-16T09:50:06+00:00 | [] | [
"en"
] | TAGS
#size_categories-10K<n<100K #language-English #region-us
| # Dataset Card for "Patents_Green_Plastics"
number of rows: 11.196
features: [title, label]
label: 0, 1
The dataset contains patent abstracts that are labeled as 1 (="Green Plastics") and 0 (="Not Green Plastics").
# Dataset Creation
The BIGPATENT dataset is the source for this dataset.
In a first step... | [
"# Dataset Card for \"Patents_Green_Plastics\"\n\n number of rows: 11.196\n features: [title, label]\n label: 0, 1\n\nThe dataset contains patent abstracts that are labeled as 1 (=\"Green Plastics\") and 0 (=\"Not Green Plastics\").",
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d7eb782e625634e2d5f086e74d3724d10984209c | # Dataset Card for "PickaPic-images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/PickaPic-images | [
"region:us"
] | 2023-01-14T14:40:41+00:00 | {"dataset_info": {"features": [{"name": "image_id", "dtype": "int64"}, {"name": "created_at", "dtype": "timestamp[ns]"}, {"name": "image_uid", "dtype": "string"}, {"name": "user_id", "dtype": "int64"}, {"name": "prompt", "dtype": "string"}, {"name": "negative_prompt", "dtype": "string"}, {"name": "seed", "dtype": "int6... | 2023-02-05T11:27:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PickaPic-images"
More Information needed | [
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6627c83e298369e8d4fe25ed6ae7afd75ba978e3 | # Dataset Card for "PickaPic-rankings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/PickaPic-rankings | [
"region:us"
] | 2023-01-14T14:45:16+00:00 | {"dataset_info": {"features": [{"name": "ranking_id", "dtype": "int64"}, {"name": "created_at", "dtype": "timestamp[ns]"}, {"name": "user_id", "dtype": "int64"}, {"name": "image_1_uid", "dtype": "string"}, {"name": "image_2_uid", "dtype": "string"}, {"name": "image_3_uid", "dtype": "string"}, {"name": "image_4_uid", "d... | 2023-02-05T11:26:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PickaPic-rankings"
More Information needed | [
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bf0b97abe1dc52fad9e9852045ad5186de7ce459 | # Dataset Card for "PickaPic-downloads"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/PickaPic-downloads | [
"region:us"
] | 2023-01-14T14:54:01+00:00 | {"dataset_info": {"features": [{"name": "download_id", "dtype": "int64"}, {"name": "created_at", "dtype": "timestamp[ns]"}, {"name": "user_id", "dtype": "int64"}, {"name": "image_uid", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes... | 2023-02-05T11:26:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PickaPic-downloads"
More Information needed | [
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2341cea6d281fd00f95eb7a94b1c2cf19a5fef78 | # Dataset Card for "mec-punctuation-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tiagoblima/punctuation-mec-bert | [
"region:us"
] | 2023-01-14T15:03:34+00:00 | {"dataset_info": {"features": [{"name": "tag", "dtype": "string"}, {"name": "sent_id", "dtype": "int64"}, {"name": "text_id", "dtype": "int64"}, {"name": "sent_text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 107537... | 2023-02-22T23:43:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mec-punctuation-v2"
More Information needed | [
"# Dataset Card for \"mec-punctuation-v2\"\n\nMore Information needed"
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42017367613a0984f2c66415150232aa107aff8f |
Trained on 29 N/SFW Yor Forger images but don't Worry! The SFW will work unexpectedly good! | SatyamSSJ10/YorForger | [
"task_categories:image-to-text",
"size_categories:n<1K",
"license:openrail",
"region:us"
] | 2023-01-14T15:04:07+00:00 | {"license": "openrail", "size_categories": ["n<1K"], "task_categories": ["image-to-text"], "pretty_name": "YorForger"} | 2023-01-14T15:11:06+00:00 | [] | [] | TAGS
#task_categories-image-to-text #size_categories-n<1K #license-openrail #region-us
|
Trained on 29 N/SFW Yor Forger images but don't Worry! The SFW will work unexpectedly good! | [] | [
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d2a400d6b9333941ba7633f1726fbe862b63691c | # Dataset Card for "biggest_ideas_metadata"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bejaeger/biggest_ideas_metadata | [
"region:us"
] | 2023-01-14T15:49:16+00:00 | {"dataset_info": {"features": [{"name": "videoId", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "channelId", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "publishedAt", "dtype": "string"}, {"name": "likes", "dtype": "string"}, {"name": "views", "dtype": "string"}], "spl... | 2023-01-14T15:49:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "biggest_ideas_metadata"
More Information needed | [
"# Dataset Card for \"biggest_ideas_metadata\"\n\nMore Information needed"
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683e03dc302a4ea2c583457e0451f934a358ba7d | # Dataset Card for "biggest_ideas_transcriptions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bejaeger/biggest_ideas_transcriptions | [
"region:us"
] | 2023-01-14T17:26:21+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "published", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "videoId", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "start", "dtype": "float64"}, {"name": "end", "dtype... | 2023-02-09T05:45:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "biggest_ideas_transcriptions"
More Information needed | [
"# Dataset Card for \"biggest_ideas_transcriptions\"\n\nMore Information needed"
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fa2b2715172a3422e3fb8cdb79902d35ec416aec | # Dataset Card for "cartoon-blip-captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | keron5671/cartoon-blip-captions | [
"region:us"
] | 2023-01-14T18:35:04+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 722303.0, "num_examples": 17}], "download_size": 717339, "dataset_size": 722303.0}} | 2023-01-14T18:35:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cartoon-blip-captions"
More Information needed | [
"# Dataset Card for \"cartoon-blip-captions\"\n\nMore Information needed"
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bc94bd1238bbc0d02471ad346b2457b441643e81 | # Dataset Card for "dreambooth-hackathon-images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tema7707/dreambooth-hackathon-images | [
"region:us"
] | 2023-01-14T19:38:45+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 14147658.0, "num_examples": 50}], "download_size": 0, "dataset_size": 14147658.0}} | 2023-01-14T21:09:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dreambooth-hackathon-images"
More Information needed | [
"# Dataset Card for \"dreambooth-hackathon-images\"\n\nMore Information needed"
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85c2eca83d4b9dcecc043c23748cb8c1047f683f |
# Wikipedia (en) embedded with cohere.ai `multilingual-22-12` encoder
We encoded [Wikipedia (en)](https://en.wikipedia.org) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
To get an overview how this dataset was created and pre-processed, have a look at [Cohere/wikipe... | Cohere/wikipedia-22-12-en-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-01-14T20:36:11+00:00 | {"annotations_creators": ["expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-03-22T16:51:57+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-English #license-apache-2.0 #region-us
|
# Wikipedia (en) embedded with URL 'multilingual-22-12' encoder
We encoded Wikipedia (en) using the URL 'multilingual-22-12' embedding model.
To get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.
## Embeddings
We compute for 'title+" "+text' the embeddings using ... | [
"# Wikipedia (en) embedded with URL 'multilingual-22-12' encoder\n\nWe encoded Wikipedia (en) using the URL 'multilingual-22-12' embedding model.\n\nTo get an overview how this dataset was created and pre-processed, have a look at Cohere/wikipedia-22-12.",
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10dbc09876db4ee50a9e54051425ee343b1ae5c4 | # Dataset Card for "raven"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jkwiatkowski/raven | [
"region:us"
] | 2023-01-14T21:25:46+00:00 | {"dataset_info": {"features": [{"name": "inputs", "dtype": {"array3_d": {"shape": [16, 160, 160], "dtype": "uint8"}}}, {"name": "target", "dtype": {"array2_d": {"shape": [16, 113], "dtype": "int8"}}}, {"name": "index", "dtype": "uint8"}], "splits": [{"name": "train", "num_bytes": 17714970000, "num_examples": 42000}, {"... | 2023-01-14T21:40:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "raven"
More Information needed | [
"# Dataset Card for \"raven\"\n\nMore Information needed"
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c574708ad8844fdd043c6c30917b6da8699f0a89 | # Dataset Card for "thaigov-radio-audio"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | napatswift/thaigov-radio-audio | [
"region:us"
] | 2023-01-15T05:02:59+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 828772851.0, "num_examples": 426}], "download_size": 824527615, "dataset_size": 828772851.0}} | 2023-01-15T05:05:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "thaigov-radio-audio"
More Information needed | [
"# Dataset Card for \"thaigov-radio-audio\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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1c1aa4ed8622db18916d912afaaaf60a8dca9775 | # Dataset Card for "copy_dataset_competitors"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sanjin7/copy_dataset_competitors | [
"region:us"
] | 2023-01-15T05:49:49+00:00 | {"dataset_info": {"features": [{"name": "shop_id", "dtype": "int64"}, {"name": "ad_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 691250, "num_examples": 2884}], "download_size": 421475, "dataset_size": 691250}} | 2023-01-16T16:28:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "copy_dataset_competitors"
More Information needed | [
"# Dataset Card for \"copy_dataset_competitors\"\n\nMore Information needed"
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5d7f1aaf95bf2599fecc65def3461765ad9e9200 | # Dataset Card for "copy_dataset_untrimmed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sanjin7/copy_dataset_untrimmed | [
"region:us"
] | 2023-01-15T06:00:58+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28610253, "num_examples": 84352}], "download_size": 0, "dataset_size": 28610253}} | 2023-01-16T16:31:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "copy_dataset_untrimmed"
More Information needed | [
"# Dataset Card for \"copy_dataset_untrimmed\"\n\nMore Information needed"
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7d30d46f6097b46067c7f316457eccd8cf834054 |
<div style='background: #ffeec0; border: 1px solid #ffd86d; padding:1em; border-radius:3px;'>
<h3 style='margin:0'>Outdated!</h3>
<p style='margin:0'>This dataset has been superseded by:</p>
<p style='margin:0'><a style="font-size: 2em;" href='https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-curated'>E621 Ri... | hearmeneigh/e621-rising-v1-curated | [
"size_categories:100K<n<1M",
"not-for-all-audiences",
"region:us"
] | 2023-01-15T06:11:18+00:00 | {"size_categories": ["100K<n<1M"], "pretty_name": "E621 Rising: Curated Image Dataset v1", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 192529551170.037, "num_examples": 441623}], "do... | 2023-10-09T17:56:31+00:00 | [] | [] | TAGS
#size_categories-100K<n<1M #not-for-all-audiences #region-us
|
<div style='background: #ffeec0; border: 1px solid #ffd86d; padding:1em; border-radius:3px;'>
<h3 style='margin:0'>Outdated!</h3>
<p style='margin:0'>This dataset has been superseded by:</p>
<p style='margin:0'><a style="font-size: 2em;" href='URL Rising V3 Curated Image Dataset</a></p>
</div>
Warning: THIS dataset i... | [
"# E621 Rising: Curated Image Dataset v1\n\n441,623 images (~200GB) downloaded from 'URL' with tags.\n\nThis is a curated dataset, picked from the E621 Rising: Raw Image Dataset v1 available here.",
"## Image Processing\n* Only 'jpg' and 'png' images were considered\n* Image width and height have been clamped to ... | [
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49d8d456e29bfc46b6886eeaffed3795b58b1adf | # Dataset Card for "copy_dataset_trimmed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sanjin7/copy_dataset_trimmed | [
"region:us"
] | 2023-01-15T06:30:47+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "text_clean", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "only_emojis", "dtype": "bool"}], "splits": [{"name": "train", "num_bytes": 23566873, "num_examples": 46055}, {"name": "test", "num_bytes": 3195980, "num_examp... | 2023-01-16T16:35:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "copy_dataset_trimmed"
More Information needed | [
"# Dataset Card for \"copy_dataset_trimmed\"\n\nMore Information needed"
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29ce7633e32a291c7a89009fba542691a585475c | # Dataset Card for "copy_dataset_primaries"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sanjin7/copy_dataset_primaries | [
"region:us"
] | 2023-01-15T07:18:57+00:00 | {"dataset_info": {"features": [{"name": "value", "sequence": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 254708030, "num_examples": 586243}], "download_size": 21073974, "dataset_size": 254708030}} | 2023-01-16T16:27:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "copy_dataset_primaries"
More Information needed | [
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f4934776f0c4347b4375569a21e676190c8bfece | # AutoTrain Dataset for project: soft-tissue-tumor-species
## Dataset Description
This dataset has been automatically processed by AutoTrain for project bone-tumor-species.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as... | itslogannye/softTissueTumorousLesions | [
"task_categories:image-classification",
"region:us"
] | 2023-01-15T08:31:08+00:00 | {"task_categories": ["image-classification"]} | 2023-01-15T09:05:06+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: soft-tissue-tumor-species
========================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project bone-tumor-species.
### Languages
The BCP-47 code for the dataset's language is unk.
... | [
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31f4a29fd16f130c75be983ed9b61aef629ace44 | # Dataset Card for "wikisource-small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Zombely/wikisource-small | [
"region:us"
] | 2023-01-15T09:28:13+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24302805827.009, "num_examples": 15549}], "download_size": 19231095073, "dataset_size": 24302805827.009}} | 2023-01-15T18:48:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikisource-small"
More Information needed | [
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b286c1ab71508a8a54cc6e984fbae20ee5e5784c | # Dataset Card for HateBR - Offensive Language and Hate Speech Dataset in Brazilian Portuguese
## Dataset Description
- **Homepage:** http://143.107.183.175:14581/
- **Repository:** https://github.com/franciellevargas/HateBR
- **Paper:** https://aclanthology.org/2022.lrec-1.777/
- **Leaderboard:**
- **Point of Conta... | ruanchaves/hatebr | [
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:pt",
"instagram",
"doi:10.57967/hf/0274",
"region:us"
] | 2023-01-15T11:11:33+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["pt"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"], "pretty_name": "HateB... | 2023-04-13T12:39:40+00:00 | [] | [
"pt"
] | TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Portuguese #instagram #doi-10.57967/hf/0274 #region-us
| Dataset Card for HateBR - Offensive Language and Hate Speech Dataset in Brazilian Portuguese
============================================================================================
Dataset Description
-------------------
* Homepage: http://143.107.183.175:14581/
* Repository: URL
* Paper: URL
* Leaderboard:
* ... | [
"### Dataset Summary\n\n\nHateBR is the first large-scale expert annotated corpus of Brazilian Instagram comments for hate speech and offensive language detection on the web and social media. The HateBR corpus was collected from Brazilian Instagram comments of politicians and manually annotated by specialists. It i... | [
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f2e34fe16864d3c41ab7fb375e997f74c3f7aad2 |
## CysPresso
A machine learning approach to predict the recombinant expressibility of cysteine-dense peptides in mammalian cells based on their primary sequence, compatible with multiple types of protein representations generated by deep learning solutions.
## Associated paper
CysPresso: Prediction of cysteine-dense... | TonyKYLim/CysPresso | [
"doi:10.57967/hf/0628",
"region:us"
] | 2023-01-15T13:52:23+00:00 | {} | 2023-03-04T22:59:20+00:00 | [] | [] | TAGS
#doi-10.57967/hf/0628 #region-us
|
## CysPresso
A machine learning approach to predict the recombinant expressibility of cysteine-dense peptides in mammalian cells based on their primary sequence, compatible with multiple types of protein representations generated by deep learning solutions.
## Associated paper
CysPresso: Prediction of cysteine-dense... | [
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1822b80aa21684f24907e6818cbc7f665ef2b9d1 | # Dataset Card for "beautiful_interesting_spectacular_photo_model_30000_with_generated_captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/beautiful_interesting_spectacular_photo_model_30000_with_generated_captions | [
"region:us"
] | 2023-01-15T14:08:05+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "pclean", "dtype": "float64"}, {"name": "generated_caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1200693... | 2023-01-17T18:00:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beautiful_interesting_spectacular_photo_model_30000_with_generated_captions"
More Information needed | [
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ca73c2889a0c6cb3b7493d56da6e73f6a2229d77 | # Dataset Card for "portraits3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | conorcl/portraits3 | [
"region:us"
] | 2023-01-15T15:46:20+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35873206.596, "num_examples": 1343}], "download_size": 35191726, "dataset_size": 35873206.596}} | 2023-01-16T22:45:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "portraits3"
More Information needed | [
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501f1909b6c1ff30926d991b94539f4c58165cc7 |
# Dataset Card for OpenSubtitles
## 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-instanc... | yhavinga/open_subtitles_en_nl | [
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] | 2023-01-15T16:48:34+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en", "nl"], "license": ["unknown"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K", "1M<n<10M", "n<1K"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "OpenSubti... | 2023-01-15T17:02:32+00:00 | [] | [
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|
# Dataset Card for OpenSubtitles
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive... | [
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248f2ec6df3f7de5244c3719ce74f26159d6dddd | # Dataset Card for "my_section_5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rami/my_section_5 | [
"region:us"
] | 2023-01-15T17:31:12+00:00 | {"dataset_info": {"features": [{"name": "body", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "meta_data", "struct": [{"name": "AcceptedAnswerId", "dtype": "string"}, {"name": "CommentCount", "dtype": "string"}, {"name": "ContentLicense", "dtype": "string... | 2023-01-21T18:07:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "my_section_5"
More Information needed | [
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45e4439f9e52be06dd302c85636ecfc71e53172b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: ilos-vigil/bigbird-small-indonesian-nli
* Dataset: indonli
* Config: indonli
* Split: test_expert... | autoevaluate/autoeval-eval-indonli-indonli-42cf53-2902084628 | [
"autotrain",
"evaluation",
"region:us"
] | 2023-01-15T18:37:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["indonli"], "eval_info": {"task": "natural_language_inference", "model": "ilos-vigil/bigbird-small-indonesian-nli", "metrics": [], "dataset_name": "indonli", "dataset_config": "indonli", "dataset_split": "test_expert", "col_mapping": {"text1": "p... | 2023-01-15T18:38:38+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: ilos-vigil/bigbird-small-indonesian-nli
* Dataset: indonli
* Config: indonli
* Split: test_expert
To run new evaluation jobs, visit ... | [
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2f3f894574938ff122f1f8d6be289897c337c37c |
<div align="center">
<img width="640" alt="keremberke/pothole-segmentation" src="https://huggingface.co/datasets/keremberke/pothole-segmentation/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['pothole']
```
### Number of Images
```json
{'test': 5, 'train': 80, 'valid': 5}
```
### How to Use
- In... | keremberke/pothole-segmentation | [
"task_categories:image-segmentation",
"roboflow",
"roboflow2huggingface",
"Construction",
"Self Driving",
"Transportation",
"Damage Risk",
"region:us"
] | 2023-01-15T18:38:37+00:00 | {"task_categories": ["image-segmentation"], "tags": ["roboflow", "roboflow2huggingface", "Construction", "Self Driving", "Transportation", "Damage Risk"]} | 2023-01-15T18:38:49+00:00 | [] | [] | TAGS
#task_categories-image-segmentation #roboflow #roboflow2huggingface #Construction #Self Driving #Transportation #Damage Risk #region-us
|
<div align="center">
<img width="640" alt="keremberke/pothole-segmentation" src="URL
</div>
### Dataset Labels
### Number of Images
### How to Use
- Install datasets:
- Load the dataset:
### Roboflow Dataset Page
URL
### License
CC BY 4.0
### Dataset Summary
This dataset was exported via URL on Jan... | [
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