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a98c94fac808ebea2f7c871631f960ebf0ca1a1b |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset consists of roughly 480k english (classified using nltk language classifier) lyrics with some more meta data. The meta data was take... | brunokreiner/genius-lyrics | [
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# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
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- Leaderboard:
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### Dataset Summary
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3109be33b36f6282aa9fbc36d6841c3e40cb614c | # FairFace (val set)
Original paper: [Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation](https://openaccess.thecvf.com/content/WACV2021/papers/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.pdf)
Homepage: https://github... | nlphuji/fairface_val_padding_025 | [
"region:us"
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#region-us
| # FairFace (val set)
Original paper: Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation
Homepage: URL
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a4496d6922555370b95ffd53d4a418e832cfc771 | # Dataset Card for "pexel_images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/pexel_images | [
"region:us"
] | 2023-01-18T23:42:55+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 27590932.0, "num_examples": 80}], "download_size": 27589857, "dataset_size": 27590932.0}} | 2023-01-18T23:43:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pexel_images"
More Information needed | [
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c764741cdbf1a67ea7b3659988f04f007b89b2dc | # Dataset Card for "pexel_images_prior_reg_images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/pexel_images_prior_reg_images | [
"region:us"
] | 2023-01-19T00:04:10+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 459796785.0, "num_examples": 1000}], "download_size": 459802313, "dataset_size": 459796785.0}} | 2023-01-19T01:41:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pexel_images_prior_reg_images"
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e58b4e08b0b07b8df5615ee6dcad7019345538e9 | # Dataset Card for "portrait_dreambooth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/portrait_dreambooth | [
"region:us"
] | 2023-01-19T00:17:14+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 123049169.0, "num_examples": 286}, {"name": "validation", "num_bytes": 7122908.0, "num_examples": 20}], "download_size": 123406667, "dataset_size": 130172077.0}} | 2023-01-19T00:17:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "portrait_dreambooth"
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09555eaa60091bd3f6df8cbd74a4f976df14fe6d | # Dataset Card for "pexel_images_lots"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/pexel_images_lots | [
"region:us"
] | 2023-01-19T00:57:13+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2466579957.125, "num_examples": 7999}], "download_size": 2418558487, "dataset_size": 2466579957.125}} | 2023-01-19T21:21:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pexel_images_lots"
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bc857fc726710c8a4e43362ccf6259d3129213cf | annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license:
- afl-3.0
multilinguality:
- monolingual
pretty_name: Tech Channels Metadata
size_categories:
- 10K<n<100K
source_datasets:
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tags:
- youtube
- video
- video metadata
- tech
- science and tech
task_... | alexignite/YouTube_channel_data | [
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8a17207bcc901d031abd94bbb22276e770826229 |
# Dataset Card for Douban Dushu (豆瓣读书).
## 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](#data... | larrylawl/douban-dushu | [
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|
# Dataset Card for Douban Dushu (豆瓣读书).
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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9d4f21ac57d11ed4f9ea64854fdc9f5618e61acc |
# Dataset Card for naamapadam
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields... | ai4bharat/naamapadam | [
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"lang... | 2023-01-19T03:17:10+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["... | 2023-05-24T16:09:03+00:00 | [
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===========================
Table of Contents
-----------------
* Dataset Description
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+ Languages
* Dataset Structure
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+ Data Fields
+ Data Splits
* Dataset Creation
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0464588cd231df7fdda12d4f08dbcd53997a9f2d | # Dataset Card for "openwebtext-tokenized-9b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | NeelNanda/openwebtext-tokenized-9b | [
"region:us"
] | 2023-01-19T03:18:45+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "uint16"}], "splits": [{"name": "train", "num_bytes": 18125188776, "num_examples": 8832938}], "download_size": 17426592454, "dataset_size": 18125188776}} | 2023-01-19T07:23:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "openwebtext-tokenized-9b"
More Information needed | [
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a9a51e65841e7c3ab02c5d6a808d319b145f6f9e |
# Princess Jai Lee Embedding
Fine-tuned textual inversion based on a character from [3ee Games](https://3ee.com), Princess Jai Lee.
## Embedding Usage
Use the token ```jaileefunkprincess```
All sample images also... | zuleo/princess-jai-lee | [
"license:creativeml-openrail-m",
"stable-diffusion",
"embedding",
"text-to-image",
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"art",
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"region:us"
] | 2023-01-19T03:27:07+00:00 | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "embedding", "text-to-image", "image-to-image", "art", "artistic"]} | 2023-01-19T04:11:30+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #stable-diffusion #embedding #text-to-image #image-to-image #art #artistic #region-us
|
# Princess Jai Lee Embedding
Fine-tuned textual inversion based on a character from 3ee Games, Princess Jai Lee.
!Detailed Samples
## Embedding Usage
Use the token
All sample images also use the bad prompt embedding: URL
---
If you enjoy this model, buy me a coffee ![Buy a coffee](URL
---
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f953fdcae786181a33ebce6f988ca9b84f3caa6e | # Dataset Card for 1000 Website Screenshots with Metadata
## Dataset Description
- **Homepage:** [silatus.com](https://silatus.com/datasets)
- **Point of Contact:** [datasets@silatus.com](mailto:datasets@silatus.com)
### Dataset Summary
Silatus is sharing, for free, a segment of a dataset that we are using to train... | silatus/1k_Website_Screenshots_and_Metadata | [
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"language:en",
"license:cc-by-nc-sa-4.0",
"screenshots",
"metadata",
"websites",
"webpages",
"region:us"
] | 2023-01-19T04:33:07+00:00 | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-to-image", "image-classification", "image-segmentation"], "pretty_name": "1000 Website Screenshots with Metadata", "tags": ["screenshots", "metadata", "websites", "webpages"]} | 2023-01-19T05:20:33+00:00 | [] | [
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| # Dataset Card for 1000 Website Screenshots with Metadata
## Dataset Description
- Homepage: URL
- Point of Contact: datasets@URL
### Dataset Summary
Silatus is sharing, for free, a segment of a dataset that we are using to train a generative AI model for text-to-mockup conversions. This dataset was collected in De... | [
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35caabd7685b451d5b872964683d202788950979 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:** https://laion.ai/
- **Repository:** https://github.com/kayjay-is-here/changemyview-converter
- **Paper:**
- **Leaderboard:**
- **Point of Contact:** yoko.nasana2@gmail.com
### Dataset Summary
This is a collection of subreddit data from r/chan... | kjl3080/OA_CMV_Arguments | [
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4c0b2776d46015c384a6b28b16014a6c82a65587 |
# Dataset Card for Dataset Name
## Dataset Description
- **Repository:** https://github.com/americanas-tech/b2w-reviews01
- **Paper:** http://comissoes.sbc.org.br/ce-pln/stil2019/proceedings-stil-2019-Final-Publicacao.pdf
- **Point of Contact:** Livy Real
### Dataset Summary
B2W-Reviews01 is an open corpus of prod... | ruanchaves/b2w-reviews01 | [
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=============================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Livy Real
### Dataset Summary
B2W-Reviews01 is an open corpus of product reviews. It contains more than 130k e-commerce customer reviews, collected from the URL ... | [
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cb482d3e7fb66d38f2684acad7cb96fc3fc88207 | # Dataset Card for "pexel"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/pexel | [
"region:us"
] | 2023-01-19T08:09:54+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 653318190.0, "num_examples": 1560}, {"name": "validation", "num_bytes": 7122908.0, "num_examples": 20}], "download_size": 653521442, "dataset_size": 660441098.0}} | 2023-01-19T08:11:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pexel"
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ea34fa84ef87766f2b34baf2909f80ce804671a8 | # Dataset Card for "KnowledgeNet"
## 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-stru... | DFKI-SLT/knowledge_net | [
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| # Dataset Card for "KnowledgeNet"
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
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- Data Fields
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- Dataset Creation
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f3c058abf7fc79723797d978e70bd3e1ffc79966 | # Dataset Card for CrossRE
## 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)
... | DFKI-SLT/cross_ner | [
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========================
Table of Contents
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eb583481a1fba449b36686456c60afa80cf8c7c3 | # Dataset Card for CrossRE
## 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)
... | DFKI-SLT/cross_re | [
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========================
Table of Contents
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* Dataset Structure
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+ Source D... | [
"### Dataset Summary\n\n\nCrossRE is a new, freely-available crossdomain benchmark for RE, which comprises six distinct text domains and includes\nmultilabel annotations. It includes the following domains: news, politics, natural science, music, literature and\nartificial intelligence. The semantic relations are an... | [
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2384dc23f2c9f694a60cd73c93f7f16042c729c8 | # Dataset Card for E3C
## Dataset Description
- **Public:** True
- **Tasks:** NER
This dataset is an annotated corpus of clinical texts from E3C using Large Language Models (LLM). | bio-datasets/e3c-llm | [
"region:us"
] | 2023-01-19T10:16:10+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tokens_offsets", "sequence": {"sequence": "int32"}}, {"name": "clinical_entity_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-CLINENTITY", "2": "I-CLINENTITY"}}}}], "config_name": "e3c-llm", "splits": [{"name": "en_layer1", "... | 2023-04-13T13:18:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for E3C
## Dataset Description
- Public: True
- Tasks: NER
This dataset is an annotated corpus of clinical texts from E3C using Large Language Models (LLM). | [
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d1d6639940c26de0034ab46343c31e430e466b16 | # Dataset Card for "research-paper-tokenized-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dipudl/research-paper-tokenized-dataset | [
"region:us"
] | 2023-01-19T10:48:13+00:00 | {"dataset_info": {"features": [{"name": "labels", "sequence": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 1087419951, "num_examples": 861228}], "download_size": 376657164, "dataset_size": 1087419951}} | 2023-01-19T19:55:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "research-paper-tokenized-dataset"
More Information needed | [
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9c19883835e644f8e7e204ef4d1b96f446c9dc03 | # Dataset Card for "Canadian_Cropland_Dataset"
## Dataset Description
- **Paper** [Towards the Creation of a Canadian Land-Use Dataset for Agricultural Land Classification](https://openreview.net/pdf/3b9f82b0ce8f1e195c4c20df9637afd8ed9ea339.pdf)
- **Split** 2017, RGB
- **GitHub** [Canadian-cropland-dataset](https://g... | jonathan-roberts1/Canadian_Cropland | [
"region:us"
] | 2023-01-19T11:18:15+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "BARLEY", "1": "CANOLA", "2": "CORN", "3": "MIXEDWOOD", "4": "OAT", "5": "ORCHARD", "6": "PASTURE", "7": "POTATO", "8": "SOYBEAN", "9": "SPRING_WHEAT"}}}}], "splits": [{"name": "train", "num_by... | 2023-03-31T13:45:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Canadian_Cropland_Dataset"
## Dataset Description
- Paper Towards the Creation of a Canadian Land-Use Dataset for Agricultural Land Classification
- Split 2017, RGB
- GitHub Canadian-cropland-dataset
## Split Information
This HuggingFace dataset repository contains just the 2017, RGB split.
##... | [
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2b239befc81b6e3f035ce6bd52f5f4d60f5625f7 | # Flickr30k
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/
Bibtex:
```
@article{young2014image,
title={From image descriptions to vis... | nlphuji/flickr30k | [
"region:us"
] | 2023-01-19T12:00:06+00:00 | {} | 2023-01-19T17:40:41+00:00 | [] | [] | TAGS
#region-us
| # Flickr30k
Original paper: From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Homepage: URL
Bibtex:
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6953f48444104119a04092a33114977f06b82afc | # Dataset Card for "Taiwan-mandarin"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ryL/Taiwan-mandarin | [
"region:us"
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#region-us
| # Dataset Card for "Taiwan-mandarin"
More Information needed | [
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8d1c564ad3e67365b0ab35db507f667dac33d95d | # AutoTrain Dataset for project: enchondroma-vs-low-grade-chondrosarcoma-histology
## Dataset Description
This dataset has been automatically processed by AutoTrain for project enchondroma-vs-low-grade-chondrosarcoma-histology.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
... | itslogannye/autotrain-data-enchondroma-vs-low-grade-chondrosarcoma-histology | [
"task_categories:image-classification",
"region:us"
] | 2023-01-19T13:18:59+00:00 | {"task_categories": ["image-classification"]} | 2023-01-19T13:20:53+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: enchondroma-vs-low-grade-chondrosarcoma-histology
================================================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project enchondroma-vs-low-grade-chondrosarcoma-his... | [
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806b513a1530a9f8d333c80f6f0a669dcb62cc3e | # Dataset Card for "relbert/semeval2012_relational_similarity"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/)
- **Dataset:** SemEval2012 relational similarity dataset
### Dataset Summary
Rela... | relbert/semeval2012_relational_similarity | [
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:other",
"region:us"
] | 2023-01-19T14:19:11+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "pretty_name": "SemEval2012 relational similarity dataset"} | 2023-02-02T15:38:26+00:00 | [] | [
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#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us
| Dataset Card for "relbert/semeval2012\_relational\_similarity"
==============================================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: SemEval2012 relational similarity dataset
### Dataset Summary
Relational similarity dataset from Sem... | [
"### Dataset Summary\n\n\nRelational similarity dataset from SemEval2012 task 2, compiled to fine-tune RelBERT model.\nThe dataset contains a list of positive and negative word pair from 89 pre-defined relations.\nThe relation types are constructed on top of following 10 parent relation types.\n\n\nEach of the pare... | [
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b8dc14cad20ebc9ab92d65482a47c282f2644664 | # Dataset Card for "Uniref90_temp"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Oshan/Uniref90_temp | [
"region:us"
] | 2023-01-19T14:47:03+00:00 | {"dataset_info": {"features": [{"name": "cluster_id", "dtype": "string"}, {"name": "cluster_size", "dtype": "int64"}, {"name": "org_id", "sequence": "int64"}, {"name": "clust_memb", "sequence": "string"}, {"name": "aa_seq", "dtype": "string"}, {"name": "taxon_id", "dtype": "int64"}, {"name": "aa_len", "dtype": "int64"}... | 2023-01-19T14:47:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Uniref90_temp"
More Information needed | [
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a120deecad6a6538fd804a462b16ff80a2539015 | # Dataset Card for "financial-text-combo-classification"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nickmuchi/financial-text-combo-classification | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:sentiment-classification",
"size_categories:10K<n<100K",
"language:en",
"finance",
"region:us"
] | 2023-01-19T15:12:10+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification", "sentiment-classification"], "pretty_name": "FinTextComboClassification", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}]... | 2023-01-27T23:21:24+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #task_ids-sentiment-classification #size_categories-10K<n<100K #language-English #finance #region-us
| # Dataset Card for "financial-text-combo-classification"
More Information needed | [
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] |
ba1fd5ec6e3defb78de8c83ee57a21091e6ff4e5 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hug... | bando168/Himnusz | [
"region:us"
] | 2023-01-19T15:23:58+00:00 | {} | 2023-01-19T15:38:55+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
### Supported Tasks and Leaderboards
### Languages
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8649b09350949e08a7d7872730ff2617fda0a0d6 | # Dataset Card for "pexel_images_lots_with_generated_captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/pexel_images_lots_with_generated_captions | [
"region:us"
] | 2023-01-19T15:56:11+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "generated_caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2467169489.125, "num_examples": 7999}], "download_size": 2418777187, "dataset_size": 2467169489.125}} | 2023-01-19T22:47:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pexel_images_lots_with_generated_captions"
More Information needed | [
"# Dataset Card for \"pexel_images_lots_with_generated_captions\"\n\nMore Information needed"
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81c757b6f16d2a61af0412c1fef3732c270d1a89 | # Dataset Card for "textual-explanations"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | james-burton/textual-explanations | [
"region:us"
] | 2023-01-19T16:05:45+00:00 | {"dataset_info": {"features": [{"name": "model_name", "dtype": "string"}, {"name": "predicted_class", "dtype": "string"}, {"name": "task_name", "dtype": "string"}, {"name": "narration", "dtype": "string"}, {"name": "values", "sequence": "string"}, {"name": "sign", "sequence": "string"}, {"name": "narrative_id", "dtype"... | 2023-01-19T16:09:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "textual-explanations"
More Information needed | [
"# Dataset Card for \"textual-explanations\"\n\nMore Information needed"
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a23b1d69b4f93c97ddee8f7bad0dc0812976e254 | # Dataset Card for "text-exp-qa-hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | james-burton/text-exp-qa-hard | [
"region:us"
] | 2023-01-19T16:12:10+00:00 | {"dataset_info": {"features": [{"name": "predicted_class", "dtype": "string"}, {"name": "classes_dict", "dtype": "string"}, {"name": "feature_nums", "sequence": "string"}, {"name": "sign", "sequence": "string"}, {"name": "values", "sequence": "string"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype... | 2023-01-30T17:54:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "text-exp-qa-hard"
More Information needed | [
"# Dataset Card for \"text-exp-qa-hard\"\n\nMore Information needed"
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31539d6c16533829a8ec7d3ded9a5d8e2fc53dcb | # nameToStdName for Minecraft plugins from SpigotMC and Bukkit
From Spigot/Bukkit plugin titles and description, extract plugin names.
Main repository: https://github.com/pluget/services
## License (SPDX)
GPL-3.0 for code
ODbL-1.0 for data/models
## Creators
Maciej Błędkowski - Founder, Lead Developer | mble/nameToStdName | [
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"language:en",
"license:gpl-3.0",
"code",
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"named entity recognition",
"minecraft",
"minecraft plugins",
"product name",
"region:us"
] | 2023-01-19T18:46:56+00:00 | {"language": ["en"], "license": "gpl-3.0", "size_categories": ["n<1K"], "tags": ["code", "ner", "named entity recognition", "minecraft", "minecraft plugins", "product name"]} | 2023-01-23T18:30:55+00:00 | [] | [
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#size_categories-n<1K #language-English #license-gpl-3.0 #code #ner #named entity recognition #minecraft #minecraft plugins #product name #region-us
| # nameToStdName for Minecraft plugins from SpigotMC and Bukkit
From Spigot/Bukkit plugin titles and description, extract plugin names.
Main repository: URL
## License (SPDX)
GPL-3.0 for code
ODbL-1.0 for data/models
## Creators
Maciej Błędkowski - Founder, Lead Developer | [
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15815164efd7fa649f59cd49e3c9d9e9f810e3f6 | # Dataset Card for "rico_sca_refexp_synthetic_saved"
This is a saved snapshot of the dynamically generated [Rico SCA RefExp dataset](https://huggingface.co/datasets/ivelin/rico_sca_refexp_synthetic) | ivelin/rico_sca_refexp_synthetic_saved | [
"region:us"
] | 2023-01-19T20:00:26+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "image_id", "dtype": "string"}, {"name": "labels", "list": [{"name": "prompt", "dtype": "string"}, {"name": "target_bounding_box", "struct": [{"name": "xmin", "dtype": "float32"}, {"name": "ymin", "dtype": "float32"}, {"name": "xmax", "dtype":... | 2023-01-19T20:10:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rico_sca_refexp_synthetic_saved"
This is a saved snapshot of the dynamically generated Rico SCA RefExp dataset | [
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11890d5a8ef9ee69887456021e8c80c437767fd5 |
Unzip data in the scorer
to get the architecture
data/grants... | Poupou/Gitcoin-Grant-DataBuilder | [
"license:mit",
"region:us"
] | 2023-01-19T20:05:25+00:00 | {"license": "mit"} | 2023-01-26T21:10:11+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Unzip data in the scorer
to get the architecture
data/grants... | [] | [
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0a87570753165f427cfa530fc5e2aeb5737b7e73 | # Dataset Card for "2048_has_code_filtered_base_code_review_python"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | reshinthadith/2048_has_code_filtered_base_code_review_python | [
"region:us"
] | 2023-01-19T20:10:34+00:00 | {"dataset_info": {"features": [{"name": "body", "dtype": "string"}, {"name": "comments", "list": [{"name": "ContentLicense", "dtype": "string"}, {"name": "CreationDate", "dtype": "string"}, {"name": "Id", "dtype": "string"}, {"name": "Score", "dtype": "string"}, {"name": "body", "dtype": "string"}]}, {"name": "answers"... | 2023-01-19T20:11:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "2048_has_code_filtered_base_code_review_python"
More Information needed | [
"# Dataset Card for \"2048_has_code_filtered_base_code_review_python\"\n\nMore Information needed"
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a0f40bf036af3ed5a037137c356f60317be71a17 | # fake_railroad_company
This is toy data I created about an imaginary railroad company.
# V1
This is the first version of the data that I generated.
# V2
I tweaked some of the weights I used to calculate the satisfaction score.
# V3
Some customers are now power users who ride more often than other users.
# V4
Custo... | davidwisdom/fake_railroad_company | [
"task_categories:time-series-forecasting",
"annotations_creators:machine-generated",
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"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"trains",
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"train",
"railroad",
"... | 2023-01-19T21:15:43+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["time-series-forecasting"], "task_ids": [], "pretty_name": "... | 2023-06-21T03:23:33+00:00 | [] | [
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| # fake_railroad_company
This is toy data I created about an imaginary railroad company.
# V1
This is the first version of the data that I generated.
# V2
I tweaked some of the weights I used to calculate the satisfaction score.
# V3
Some customers are now power users who ride more often than other users.
# V4
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ccbdde04393f9c9004cf2da3cb323c085c87a729 | # Dataset Card for "2048_has_code_filtered_base_code_review_python_based_on_property"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | reshinthadith/2048_has_code_filtered_base_code_review_python_based_on_property | [
"region:us"
] | 2023-01-19T21:26:07+00:00 | {"dataset_info": {"features": [{"name": "body", "dtype": "string"}, {"name": "comments", "list": [{"name": "ContentLicense", "dtype": "string"}, {"name": "CreationDate", "dtype": "string"}, {"name": "Id", "dtype": "string"}, {"name": "Score", "dtype": "string"}, {"name": "body", "dtype": "string"}]}, {"name": "meta_dat... | 2023-01-19T21:36:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "2048_has_code_filtered_base_code_review_python_based_on_property"
More Information needed | [
"# Dataset Card for \"2048_has_code_filtered_base_code_review_python_based_on_property\"\n\nMore Information needed"
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46a779304d9d7955c4dda1c00ae9e9b86709fe2e | # Dataset Card for MiningLegalArguments
## 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](#datas... | joelniklaus/BrCAD-5 | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-01-20T00:45:55+00:00 | {"license": "cc-by-nc-sa-4.0"} | 2023-01-20T00:47:27+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
| # Dataset Card for MiningLegalArguments
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
... | [
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6a12f025da4ce45858844b4cb68a47654aa24120 | # Dataset Card for "test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | camenduru/test | [
"region:us"
] | 2023-01-20T02:20:07+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1147232.0, "num_examples": 8}], "download_size": 1148603, "dataset_size": 1147232.0}} | 2023-01-20T02:20:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test"
More Information needed | [
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c67864622cb78a554118958f806cf97d50992001 | # Introduction
There are four folders:
**./pink original** 30 images from videoes and dynamics, and they are all cut into squares
**./pink_cleaned**
**./pink_cleaned_processed** clean the background and fill it with white colour, I recommend use this folder
**./style_new** cute small girl style, I do not use th... | ecccho/lumi-pink-2022 | [
"size_categories:n<1K",
"region:us"
] | 2023-01-20T05:36:33+00:00 | {"size_categories": ["n<1K"]} | 2023-01-20T05:50:22+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
| # Introduction
There are four folders:
./pink original 30 images from videoes and dynamics, and they are all cut into squares
./pink_cleaned
./pink_cleaned_processed clean the background and fill it with white colour, I recommend use this folder
./style_new cute small girl style, I do not use them but just coll... | [
"# Introduction\nThere are four folders: \n./pink original 30 images from videoes and dynamics, and they are all cut into squares \n./pink_cleaned \n./pink_cleaned_processed clean the background and fill it with white colour, I recommend use this folder \n./style_new cute small girl style, I do not use them but... | [
"TAGS\n#size_categories-n<1K #region-us \n",
"# Introduction\nThere are four folders: \n./pink original 30 images from videoes and dynamics, and they are all cut into squares \n./pink_cleaned \n./pink_cleaned_processed clean the background and fill it with white colour, I recommend use this folder \n./style_n... | [
16,
90
] | [
"passage: TAGS\n#size_categories-n<1K #region-us \n# Introduction\nThere are four folders: \n./pink original 30 images from videoes and dynamics, and they are all cut into squares \n./pink_cleaned \n./pink_cleaned_processed clean the background and fill it with white colour, I recommend use this folder \n./styl... |
11fac81362d7bcc017710e09bd3465a22ca887f7 |
407 images and captions taken from danbooru, picked and cropped by hand, 768x768 size. | cosc/cutesexyrobutts | [
"license:creativeml-openrail-m",
"region:us"
] | 2023-01-20T06:34:48+00:00 | {"license": "creativeml-openrail-m"} | 2023-02-16T08:28:43+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
|
407 images and captions taken from danbooru, picked and cropped by hand, 768x768 size. | [] | [
"TAGS\n#license-creativeml-openrail-m #region-us \n"
] | [
18
] | [
"passage: TAGS\n#license-creativeml-openrail-m #region-us \n"
] |
55bf906bdab5cd2849c339f17ef4404e8ddb0822 | # defamation_japanese_twitter
# Twitter日本語誹謗中傷検出データセット
<!-- ## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:** -->
## Dataset Summary
SNSにおける誹謗中傷検出のためのデータセットです．
5,000件の日本語のツイートに，それぞれ以下で定義している誹謗中傷の対象者と内容をアノテーションしています．アノテーションは，3人のクラウドワーカーにより行われています．2022年2... | kubota/defamation-japanese-twitter | [
"task_categories:text-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:ja",
"license:cc-by-4.0",
"region:us"
] | 2023-01-20T06:50:46+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ja"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "defamation_jap... | 2023-02-06T18:26:10+00:00 | [] | [
"ja"
] | TAGS
#task_categories-text-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Japanese #license-cc-by-4.0 #region-us
| defamation\_japanese\_twitter
=============================
Twitter日本語誹謗中傷検出データセット
======================
Dataset Summary
---------------
SNSにおける誹謗中傷検出のためのデータセットです．
5,000件の日本語のツイートに，それぞれ以下で定義している誹謗中傷の対象者と内容をアノテーションしています．アノテーションは，3人のクラウドワーカーにより行われています．2022年2月15日から2022年6月30日までのツイートです．
元のツイートは含まれていないため，Twitter API... | [] | [
"TAGS\n#task_categories-text-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Japanese #license-cc-by-4.0 #region-us \n"
] | [
84
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] |
d020c8636ea3634b614786543747bba081e865ec | # Paraphrase Dataset (Urdu)
This dataset contains paraphrases in Urdu. It is provided in the Parquet format and is split into a training set with 393,000 rows.
## Dataset Details
- Columns:
- `sentence1`: The first sentence in a pair of paraphrases (string).
- `sentence2`: The second sentence in a pair of paraph... | mwz/ur_para | [
"task_categories:text2text-generation",
"task_categories:summarization",
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:ur",
"license:mit",
"region:us"
] | 2023-01-20T07:11:27+00:00 | {"language": ["ur"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text2text-generation", "summarization", "text-generation"], "pretty_name": "ur_para"} | 2023-06-24T12:06:04+00:00 | [] | [
"ur"
] | TAGS
#task_categories-text2text-generation #task_categories-summarization #task_categories-text-generation #size_categories-100K<n<1M #language-Urdu #license-mit #region-us
| # Paraphrase Dataset (Urdu)
This dataset contains paraphrases in Urdu. It is provided in the Parquet format and is split into a training set with 393,000 rows.
## Dataset Details
- Columns:
- 'sentence1': The first sentence in a pair of paraphrases (string).
- 'sentence2': The second sentence in a pair of paraph... | [
"# Paraphrase Dataset (Urdu)\n\nThis dataset contains paraphrases in Urdu. It is provided in the Parquet format and is split into a training set with 393,000 rows.",
"## Dataset Details\n\n- Columns:\n - 'sentence1': The first sentence in a pair of paraphrases (string).\n - 'sentence2': The second sentence in a... | [
"TAGS\n#task_categories-text2text-generation #task_categories-summarization #task_categories-text-generation #size_categories-100K<n<1M #language-Urdu #license-mit #region-us \n",
"# Paraphrase Dataset (Urdu)\n\nThis dataset contains paraphrases in Urdu. It is provided in the Parquet format and is split into a tr... | [
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"passage: TAGS\n#task_categories-text2text-generation #task_categories-summarization #task_categories-text-generation #size_categories-100K<n<1M #language-Urdu #license-mit #region-us \n# Paraphrase Dataset (Urdu)\n\nThis dataset contains paraphrases in Urdu. It is provided in the Parquet format and is split into a... |
b1849b573c20e9d2ea9b4ba7e79ceb4f6c2b559f |
## Required installation
```bash
pip3 install pypdf2 pdf2image
sudo apt-get install poppler-utils
``` | jordyvl/rvl_cdip_multi | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-01-20T08:23:10+00:00 | {"license": "cc-by-nc-4.0"} | 2023-01-23T20:09:46+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
## Required installation
| [
"## Required installation"
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"TAGS\n#license-cc-by-nc-4.0 #region-us \n",
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9d86e4924bc2d935bf6eb0081b1b95eb817bae38 | # Dataset Card for re-medical-annotations
## Dataset Description
### Dataset Summary
HuggingFace Dataset from the Inception Medical Annotations project.
This dataset can be used locally with any archive downloaded from Inception that contains relation annotations.
Loading this dataset requires `dkpro-cassis>=0.7.2... | bio-datasets/re-medical-annotations | [
"region:us"
] | 2023-01-20T10:50:56+00:00 | {} | 2023-01-20T11:59:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for re-medical-annotations
## Dataset Description
### Dataset Summary
HuggingFace Dataset from the Inception Medical Annotations project.
This dataset can be used locally with any archive downloaded from Inception that contains relation annotations.
Loading this dataset requires 'dkpro-cassis>=0.7.2... | [
"# Dataset Card for re-medical-annotations",
"## Dataset Description",
"### Dataset Summary\n\nHuggingFace Dataset from the Inception Medical Annotations project.\n\nThis dataset can be used locally with any archive downloaded from Inception that contains relation annotations.\n\nLoading this dataset requires '... | [
"TAGS\n#region-us \n",
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"## Dataset Description",
"### Dataset Summary\n\nHuggingFace Dataset from the Inception Medical Annotations project.\n\nThis dataset can be used locally with any archive downloaded from Inception that contains relation annotations.\n\nLoadin... | [
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5bc4a5c387ebf97cfe2fbb44f2db611bca5c5d1b | # Dataset Card for "patched_1000_test_p_100_m2_predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_1000_test_p_100_m2_predictions | [
"region:us"
] | 2023-01-20T12:17:21+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "features", "sequence": "float64"}, {"name": "m2_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 5874386840, "num_examples": 659861}], "dow... | 2023-01-20T12:21:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_1000_test_p_100_m2_predictions"
More Information needed | [
"# Dataset Card for \"patched_1000_test_p_100_m2_predictions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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190471b4ec3387b61fe020f58834a3bf450e3121 | # Dataset Card for "input-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | huggingface-projects/auto-retrain-input-dataset | [
"region:us"
] | 2023-01-20T13:35:38+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "ADONIS", "1": "AFRICAN GIANT SWALLOWTAIL", "2": "AMERICAN SNOOT"}}}}], "splits": [{"name": "train", "num_bytes": 8825732.0, "num_examples": 338}], "download_size": 8823395, "dataset_size": 882... | 2023-01-23T11:02:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "input-dataset"
More Information needed | [
"# Dataset Card for \"input-dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"input-dataset\"\n\nMore Information needed"
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6,
15
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"passage: TAGS\n#region-us \n# Dataset Card for \"input-dataset\"\n\nMore Information needed"
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d4621b82f778e6d98dfc63819db248a5778adcfc | # Dataset Card for "rico_sca_refexp_synthetic_flat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ivelin/rico_sca_refexp_synthetic_flat | [
"region:us"
] | 2023-01-20T14:33:37+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "image_id", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "target_bounding_box", "struct": [{"name": "xmax", "dtype": "float64"}, {"name": "xmin", "dtype": "float64"}, {"name": "ymax", "dtype": "float64"}, {"name": "ymin"... | 2023-01-20T14:46:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rico_sca_refexp_synthetic_flat"
More Information needed | [
"# Dataset Card for \"rico_sca_refexp_synthetic_flat\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"rico_sca_refexp_synthetic_flat\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"rico_sca_refexp_synthetic_flat\"\n\nMore Information needed"
] |
e7aa449a0cee5851d28b450830737ae5e5d53345 | # AutoTrain Dataset for project: rottentomato
## Dataset Description
This dataset has been automatically processed by AutoTrain for project rottentomato.
### 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
... | tolgadev/autotrain-data-rottentomato | [
"task_categories:text-classification",
"region:us"
] | 2023-01-20T14:42:00+00:00 | {"task_categories": ["text-classification"]} | 2023-01-20T14:43:13+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: rottentomato
===========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project rottentomato.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
--------------... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
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"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
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32e8eb6edf8b9d506ec328ae9aabae7846c7c3d0 |
# Dataset Card for "emotion"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | philschmid/emotion | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:other",
"emotion-classific... | 2023-01-20T14:56:20+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classificati... | 2023-01-20T14:56:20+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-other #emotion-classification #region-us
| Dataset Card for "emotion"
==========================
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
+ Annotatio... | [
"### Dataset Summary\n\n\nEmotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nDataset Structure\n-----------------",
"### ... | [
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7d915d6049944f6bf0b906d2b58e4725c49d822e | # Dataset Card for "NWPU-RESISC45"
## Dataset Description
- **Paper** [Remote sensing image scene classification: Benchmark and state of the art](https://ieeexplore.ieee.org/iel7/5/8045830/07891544.pdf)
### Licensing Information
[CC-BY-SA]
## Citation Information
[Remote sensing image scene classification: Benchm... | jonathan-roberts1/NWPU-RESISC45 | [
"task_categories:image-classification",
"task_categories:zero-shot-image-classification",
"license:other",
"region:us"
] | 2023-01-20T15:46:31+00:00 | {"license": "other", "task_categories": ["image-classification", "zero-shot-image-classification"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "airplane", "1": "airport", "2": "baseball diamond", "3": "basketball court", "4": "beach", "5... | 2023-03-31T15:57:43+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-zero-shot-image-classification #license-other #region-us
| # Dataset Card for "NWPU-RESISC45"
## Dataset Description
- Paper Remote sensing image scene classification: Benchmark and state of the art
### Licensing Information
[CC-BY-SA]
Remote sensing image scene classification: Benchmark and state of the art
| [
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79fbb09aa4dc9e4221379dffe151efd8759b59c3 | # Dataset Card for "SIRI-WHU"
## Dataset Description
- **Paper** [Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery](https://ieeexplore.ieee.org/iel7/36/4358825/07329997.pdf)
- **Paper** [The Fisher kernel coding framework for high spatial resolution scene ... | jonathan-roberts1/SIRI-WHU | [
"task_categories:image-classification",
"task_categories:zero-shot-image-classification",
"license:other",
"region:us"
] | 2023-01-20T15:46:58+00:00 | {"license": "other", "task_categories": ["image-classification", "zero-shot-image-classification"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "agriculture", "1": "commercial", "2": "harbor", "3": "idle_land", "4": "industrial", "5": "me... | 2023-03-31T16:18:08+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-zero-shot-image-classification #license-other #region-us
| # Dataset Card for "SIRI-WHU"
## Dataset Description
- Paper Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery
- Paper The Fisher kernel coding framework for high spatial resolution scene classification
- Paper Bag-of-visual-words scene classifier with loca... | [
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89a10374941b0e80d75ae00ad6ca81d7b67e33ac | # Dataset Card for "rico_refexp_combined"
This dataset combines the crowdsourced RICO RefExp prompts from the [UIBert dataset](https://huggingface.co/datasets/ivelin/rico_sca_refexp_synthetic) and the synthetically generated prompts from the [seq2act dataset](https://huggingface.co/datasets/ivelin/rico_sca_refexp_synt... | ivelin/rico_refexp_combined | [
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:en",
"license:cc",
"ui refexp",
"region:us"
] | 2023-01-20T16:29:52+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["100K<n<1M"], "task_categories": ["question-answering"], "pretty_name": "UI RefExp Combined", "tags": ["ui refexp"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "image_id", "dtype": "string"}, {"name": "prompt", "dtype": "string"}... | 2023-01-20T16:46:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-100K<n<1M #language-English #license-cc #ui refexp #region-us
| # Dataset Card for "rico_refexp_combined"
This dataset combines the crowdsourced RICO RefExp prompts from the UIBert dataset and the synthetically generated prompts from the seq2act dataset. | [
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43,
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] | [
"passage: TAGS\n#task_categories-question-answering #size_categories-100K<n<1M #language-English #license-cc #ui refexp #region-us \n# Dataset Card for \"rico_refexp_combined\"\n\nThis dataset combines the crowdsourced RICO RefExp prompts from the UIBert dataset and the synthetically generated prompts from the seq2... |
f11d63929abb91d630dbf6afc91f56b200979c2a | # Dataset Card for "jojo-stone-ocean-blip-captions-512"
## JoJo's Bizarre Adventure: Stone Ocean with Blip captions.
## Dataset contains 512x512 cropped images whose source is [jojowiki](https://jojowiki.com/Stone_Ocean_(Anime)) | Norod78/jojo-stone-ocean-blip-captions-512 | [
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-nc-sa-4.0",
"text-to-image",
"region:us"
] | 2023-01-20T17:00:05+00:00 | {"language": "en", "license": "cc-by-nc-sa-4.0", "size_categories": ["1K<n<10K"], "pretty_name": "JoJo's Bizarre Adventure: Stone Ocean - Blip captions", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 94744425.832, "num_... | 2023-07-13T10:27:31+00:00 | [] | [
"en"
] | TAGS
#size_categories-1K<n<10K #language-English #license-cc-by-nc-sa-4.0 #text-to-image #region-us
| # Dataset Card for "jojo-stone-ocean-blip-captions-512"
## JoJo's Bizarre Adventure: Stone Ocean with Blip captions.
## Dataset contains 512x512 cropped images whose source is jojowiki) | [
"# Dataset Card for \"jojo-stone-ocean-blip-captions-512\"",
"## JoJo's Bizarre Adventure: Stone Ocean with Blip captions.",
"## Dataset contains 512x512 cropped images whose source is jojowiki)"
] | [
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"## JoJo's Bizarre Adventure: Stone Ocean with Blip captions.",
"## Dataset contains 512x512 cropped images whose source is jojowiki)"
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] |
d1a7ad247dbe0383048311bdeb452c028517c155 | # Beyond web-scraping
Original paper: [Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset
](https://arxiv.org/abs/2301.02560)
Homepage: https://geodiverse-data-collection.cs.princeton.edu/
Test split obtained from the paper authors.
Bibtex:
```
@inproceedings{ramaswamy2022geode,
author =... | nlphuji/beyond_web_scraping | [
"arxiv:2301.02560",
"region:us"
] | 2023-01-20T17:00:09+00:00 | {} | 2023-01-20T17:12:36+00:00 | [
"2301.02560"
] | [] | TAGS
#arxiv-2301.02560 #region-us
| # Beyond web-scraping
Original paper: Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset
Homepage: URL
Test split obtained from the paper authors.
Bibtex:
| [
"# Beyond web-scraping\n\nOriginal paper: Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset\n\n\nHomepage: URL\nTest split obtained from the paper authors. \n\nBibtex:"
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] |
a93005f73bc5d36f115098ca792cf6169a344740 | # Dataset Card for "wallbed_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dadosdq/wallbed_dataset | [
"region:us"
] | 2023-01-20T17:42:18+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 16160402.0, "num_examples": 39}], "download_size": 16162324, "dataset_size": 16160402.0}} | 2023-01-20T17:42:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wallbed_dataset"
More Information needed | [
"# Dataset Card for \"wallbed_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"wallbed_dataset\"\n\nMore Information needed"
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15
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"passage: TAGS\n#region-us \n# Dataset Card for \"wallbed_dataset\"\n\nMore Information needed"
] |
668b2cabee807d5350a72bedc0e33d7433a6be33 | # Dataset Card for "pii-pile-chunk3-0-50000-tagged"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | j-chim/pii-pile-chunk3-0-50000-tagged | [
"region:us"
] | 2023-01-20T18:34:35+00:00 | {"dataset_info": {"features": [{"name": "texts", "sequence": "string"}, {"name": "meta", "struct": [{"name": "pile_set_name", "dtype": "string"}]}, {"name": "scores", "sequence": "float64"}, {"name": "avg_score", "dtype": "float64"}, {"name": "num_sents", "dtype": "int64"}, {"name": "tagged_pii_results", "list": [{"nam... | 2023-01-21T02:03:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pii-pile-chunk3-0-50000-tagged"
More Information needed | [
"# Dataset Card for \"pii-pile-chunk3-0-50000-tagged\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pii-pile-chunk3-0-50000-tagged\"\n\nMore Information needed"
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6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pii-pile-chunk3-0-50000-tagged\"\n\nMore Information needed"
] |
82540efee3d778168f560b6a94b40f3532c774f4 |
# Architecture Regularization Images
A collection of regularization & class instance datasets of architecture for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | 3ee/regularization-architecture | [
"license:mit",
"stable-diffusion",
"regularization-images",
"text-to-image",
"image-to-image",
"dreambooth",
"class-instance",
"preservation-loss-training",
"architecture",
"region:us"
] | 2023-01-20T18:44:31+00:00 | {"license": "mit", "tags": ["stable-diffusion", "regularization-images", "text-to-image", "image-to-image", "dreambooth", "class-instance", "preservation-loss-training", "architecture"]} | 2023-01-20T19:12:23+00:00 | [] | [] | TAGS
#license-mit #stable-diffusion #regularization-images #text-to-image #image-to-image #dreambooth #class-instance #preservation-loss-training #architecture #region-us
|
# Architecture Regularization Images
A collection of regularization & class instance datasets of architecture for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | [
"# Architecture Regularization Images\n\nA collection of regularization & class instance datasets of architecture for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training."
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d11aaa3e488925af824db86d176a340a9b052e48 |
# Castle Regularization Images
A collection of regularization & class instance datasets of castles for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | 3ee/regularization-castle | [
"license:mit",
"stable-diffusion",
"regularization-images",
"text-to-image",
"image-to-image",
"dreambooth",
"class-instance",
"preservation-loss-training",
"region:us"
] | 2023-01-20T18:44:53+00:00 | {"license": "mit", "tags": ["stable-diffusion", "regularization-images", "text-to-image", "image-to-image", "dreambooth", "class-instance", "preservation-loss-training"]} | 2023-01-20T19:25:41+00:00 | [] | [] | TAGS
#license-mit #stable-diffusion #regularization-images #text-to-image #image-to-image #dreambooth #class-instance #preservation-loss-training #region-us
|
# Castle Regularization Images
A collection of regularization & class instance datasets of castles for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | [
"# Castle Regularization Images\n\nA collection of regularization & class instance datasets of castles for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training."
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300b8d8167d7d274ac17f71a5b8073d06681e74f |
# Horse Regularization Images
A collection of regularization & class instance datasets of horses for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | 3ee/regularization-horse | [
"license:mit",
"stable-diffusion",
"regularization-images",
"text-to-image",
"image-to-image",
"dreambooth",
"class-instance",
"preservation-loss-training",
"region:us"
] | 2023-01-20T18:46:07+00:00 | {"license": "mit", "tags": ["stable-diffusion", "regularization-images", "text-to-image", "image-to-image", "dreambooth", "class-instance", "preservation-loss-training"]} | 2023-01-20T19:21:02+00:00 | [] | [] | TAGS
#license-mit #stable-diffusion #regularization-images #text-to-image #image-to-image #dreambooth #class-instance #preservation-loss-training #region-us
|
# Horse Regularization Images
A collection of regularization & class instance datasets of horses for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | [
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523f93cc65de4046ec445793607481a5c03e40b5 |
# Creature Regularization Images
A collection of regularization & class instance datasets of creatures for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | 3ee/regularization-creature | [
"license:mit",
"stable-diffusion",
"regularization-images",
"text-to-image",
"image-to-image",
"dreambooth",
"class-instance",
"preservation-loss-training",
"region:us"
] | 2023-01-20T18:47:30+00:00 | {"license": "mit", "tags": ["stable-diffusion", "regularization-images", "text-to-image", "image-to-image", "dreambooth", "class-instance", "preservation-loss-training"]} | 2023-01-20T19:20:28+00:00 | [] | [] | TAGS
#license-mit #stable-diffusion #regularization-images #text-to-image #image-to-image #dreambooth #class-instance #preservation-loss-training #region-us
|
# Creature Regularization Images
A collection of regularization & class instance datasets of creatures for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | [
"# Creature Regularization Images\n\nA collection of regularization & class instance datasets of creatures for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training."
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26eae2964447518e7671dca7cfac0d1ba9130881 |
# Forest Regularization Images
A collection of regularization & class instance datasets of forests for the Stable Diffusion 1.5 model to use for DreamBooth prior preservation loss training. | 3ee/regularization-forest | [
"license:mit",
"stable-diffusion",
"regularization-images",
"text-to-image",
"image-to-image",
"dreambooth",
"class-instance",
"preservation-loss-training",
"forest",
"region:us"
] | 2023-01-20T18:47:57+00:00 | {"license": "mit", "tags": ["stable-diffusion", "regularization-images", "text-to-image", "image-to-image", "dreambooth", "class-instance", "preservation-loss-training", "forest"]} | 2023-01-20T19:09:47+00:00 | [] | [] | TAGS
#license-mit #stable-diffusion #regularization-images #text-to-image #image-to-image #dreambooth #class-instance #preservation-loss-training #forest #region-us
|
# Forest Regularization Images
A collection of regularization & class instance datasets of forests for the Stable Diffusion 1.5 model to use for DreamBooth prior preservation loss training. | [
"# Forest Regularization Images\n\nA collection of regularization & class instance datasets of forests for the Stable Diffusion 1.5 model to use for DreamBooth prior preservation loss training."
] | [
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7829914720649837fa2bbe0a2340661963171e04 |
# Space Regularization Images
A collection of regularization & class instance datasets of space for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | 3ee/regularization-space | [
"license:mit",
"stable-diffusion",
"regularization-images",
"text-to-image",
"image-to-image",
"dreambooth",
"class-instance",
"preservation-loss-training",
"region:us"
] | 2023-01-20T19:26:19+00:00 | {"license": "mit", "tags": ["stable-diffusion", "regularization-images", "text-to-image", "image-to-image", "dreambooth", "class-instance", "preservation-loss-training"]} | 2023-01-20T19:30:22+00:00 | [] | [] | TAGS
#license-mit #stable-diffusion #regularization-images #text-to-image #image-to-image #dreambooth #class-instance #preservation-loss-training #region-us
|
# Space Regularization Images
A collection of regularization & class instance datasets of space for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | [
"# Space Regularization Images\n\nA collection of regularization & class instance datasets of space for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training."
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086607dc0921967db7972f418722dbbe61466fb1 |
# Tiger Regularization Images
A collection of regularization & class instance datasets of tigers for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | 3ee/regularization-tiger | [
"license:mit",
"stable-diffusion",
"regularization-images",
"text-to-image",
"image-to-image",
"dreambooth",
"class-instance",
"preservation-loss-training",
"region:us"
] | 2023-01-20T19:33:41+00:00 | {"license": "mit", "tags": ["stable-diffusion", "regularization-images", "text-to-image", "image-to-image", "dreambooth", "class-instance", "preservation-loss-training"]} | 2023-01-20T19:36:58+00:00 | [] | [] | TAGS
#license-mit #stable-diffusion #regularization-images #text-to-image #image-to-image #dreambooth #class-instance #preservation-loss-training #region-us
|
# Tiger Regularization Images
A collection of regularization & class instance datasets of tigers for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | [
"# Tiger Regularization Images\n\nA collection of regularization & class instance datasets of tigers for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training."
] | [
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c08583489ad46b3ffa6fcbc0c460a1d7ebf5a35a |
# Landscape Regularization Images
A collection of regularization & class instance datasets of landscapes for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | 3ee/regularization-landscape | [
"license:mit",
"stable-diffusion",
"regularization-images",
"text-to-image",
"image-to-image",
"dreambooth",
"class-instance",
"preservation-loss-training",
"region:us"
] | 2023-01-20T19:40:14+00:00 | {"license": "mit", "tags": ["stable-diffusion", "regularization-images", "text-to-image", "image-to-image", "dreambooth", "class-instance", "preservation-loss-training"]} | 2023-01-20T19:48:58+00:00 | [] | [] | TAGS
#license-mit #stable-diffusion #regularization-images #text-to-image #image-to-image #dreambooth #class-instance #preservation-loss-training #region-us
|
# Landscape Regularization Images
A collection of regularization & class instance datasets of landscapes for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | [
"# Landscape Regularization Images\n\nA collection of regularization & class instance datasets of landscapes for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training."
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d3c72394c8d5997837c169b567dd4d87d56a19eb |
# Man Regularization Images
A collection of regularization & class instance datasets of men for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | 3ee/regularization-man | [
"license:mit",
"stable-diffusion",
"regularization-images",
"text-to-image",
"image-to-image",
"dreambooth",
"class-instance",
"preservation-loss-training",
"region:us"
] | 2023-01-20T19:45:22+00:00 | {"license": "mit", "tags": ["stable-diffusion", "regularization-images", "text-to-image", "image-to-image", "dreambooth", "class-instance", "preservation-loss-training"]} | 2023-01-20T19:48:20+00:00 | [] | [] | TAGS
#license-mit #stable-diffusion #regularization-images #text-to-image #image-to-image #dreambooth #class-instance #preservation-loss-training #region-us
|
# Man Regularization Images
A collection of regularization & class instance datasets of men for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | [
"# Man Regularization Images\n\nA collection of regularization & class instance datasets of men for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training."
] | [
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7cdefd5bb0e34f067aa578fbd8aa324d36d6cbc2 |
# Woman Regularization Images
A collection of regularization & class instance datasets of women for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | 3ee/regularization-woman | [
"license:mit",
"stable-diffusion",
"regularization-images",
"text-to-image",
"image-to-image",
"dreambooth",
"class-instance",
"preservation-loss-training",
"region:us"
] | 2023-01-20T19:49:37+00:00 | {"license": "mit", "tags": ["stable-diffusion", "regularization-images", "text-to-image", "image-to-image", "dreambooth", "class-instance", "preservation-loss-training"]} | 2023-01-20T19:52:45+00:00 | [] | [] | TAGS
#license-mit #stable-diffusion #regularization-images #text-to-image #image-to-image #dreambooth #class-instance #preservation-loss-training #region-us
|
# Woman Regularization Images
A collection of regularization & class instance datasets of women for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training. | [
"# Woman Regularization Images\n\nA collection of regularization & class instance datasets of women for the Stable Diffusion 1.5 to use for DreamBooth prior preservation loss training."
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"passage: TAGS\n#license-mit #stable-diffusion #regularization-images #text-to-image #image-to-image #dreambooth #class-instance #preservation-loss-training #region-us \n# Woman Regularization Images\n\nA collection of regularization & class instance datasets of women for the Stable Diffusion 1.5 to use for DreamBo... |
dd87cd421bee6a80552ac154be9b9737ad9ac23f |
# German Municipal Coat of Arms Dataset
This dataset contains 13104 samples for German municipal coat of arms.
Each sample consists of the following features: 'img', 'acceptance', 'municipality', 'description', 'id', historicalJustification', 'municipalityName', 'uri', 'figure', 'cancellation', 'cancellationReason',... | johko/german_municipal_coat_of_arms | [
"size_categories:10K<n<100K",
"language:de",
"license:cc-by-4.0",
"region:us"
] | 2023-01-20T20:50:31+00:00 | {"language": ["de"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"]} | 2023-01-22T19:41:39+00:00 | [] | [
"de"
] | TAGS
#size_categories-10K<n<100K #language-German #license-cc-by-4.0 #region-us
|
# German Municipal Coat of Arms Dataset
This dataset contains 13104 samples for German municipal coat of arms.
Each sample consists of the following features: 'img', 'acceptance', 'municipality', 'description', 'id', historicalJustification', 'municipalityName', 'uri', 'figure', 'cancellation', 'cancellationReason',... | [
"# German Municipal Coat of Arms Dataset\n\nThis dataset contains 13104 samples for German municipal coat of arms.\n\nEach sample consists of the following features: 'img', 'acceptance', 'municipality', 'description', 'id', historicalJustification', 'municipalityName', 'uri', 'figure', 'cancellation', 'cancellation... | [
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d2337a07734fed19482342cd7b5a911472c4c007 | # Dataset Card for "processed_light_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andrewnoel/processed_light_dataset | [
"region:us"
] | 2023-01-20T22:52:19+00:00 | {"dataset_info": {"features": [{"name": "scene", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18625958.401499182, "num_examples": 7684}, {"name": "test", "num_bytes": 2070089.5985008199, "num_examples": 854}], "download_size": 11530553, "dataset_size": 20696048.0}} | 2023-01-23T04:54:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_light_dataset"
More Information needed | [
"# Dataset Card for \"processed_light_dataset\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"processed_light_dataset\"\n\nMore Information needed"
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e055e9f2de692a3d35c1495a7c153472b46ca7ca | # Dataset Card for "bookcorpus_compact_256_shard0_of_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_256_shard0_of_10 | [
"region:us"
] | 2023-01-21T01:39:30+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 784542200, "num_examples": 238935}], "download_size": 393350476, "dataset_size": 784542200}} | 2023-01-21T01:39:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_256_shard0_of_10"
More Information needed | [
"# Dataset Card for \"bookcorpus_compact_256_shard0_of_10\"\n\nMore Information needed"
] | [
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2fd777f220307d63db62610e51820a630107faa2 | # AutoTrain Dataset for project: 230121_t5_lcw99
## Dataset Description
This dataset has been automatically processed by AutoTrain for project 230121_t5_lcw99.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
``... | Maeji/autotrain-data-230121_t5_lcw99 | [
"task_categories:summarization",
"region:us"
] | 2023-01-21T03:33:54+00:00 | {"task_categories": ["summarization"]} | 2023-01-21T04:19:10+00:00 | [] | [] | TAGS
#task_categories-summarization #region-us
| AutoTrain Dataset for project: 230121\_t5\_lcw99
================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project 230121\_t5\_lcw99.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure... | [
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2a9c8c2c560bac31e7d65e81f584d2280ce7593d | # Dataset Card for "patched_1000_test_p_150_m2_embeddings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_1000_test_p_150_m2_embeddings | [
"region:us"
] | 2023-01-21T07:29:33+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "features", "sequence": "float64"}], "splits": [{"name": "train", "num_bytes": 9275601628, "num_examples": 1035692}], "download_size": 8812286870, "dataset_size": ... | 2023-01-21T07:36:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_1000_test_p_150_m2_embeddings"
More Information needed | [
"# Dataset Card for \"patched_1000_test_p_150_m2_embeddings\"\n\nMore Information needed"
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1040277c7831711568a88aeb09ab09a198d30929 | # Dataset Card for "pii-pile-chunk3-50000-100000-tagged"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | j-chim/pii-pile-chunk3-50000-100000-tagged | [
"region:us"
] | 2023-01-21T08:09:21+00:00 | {"dataset_info": {"features": [{"name": "texts", "sequence": "string"}, {"name": "meta", "struct": [{"name": "pile_set_name", "dtype": "string"}]}, {"name": "scores", "sequence": "float64"}, {"name": "avg_score", "dtype": "float64"}, {"name": "num_sents", "dtype": "int64"}, {"name": "tagged_pii_results", "list": [{"nam... | 2023-01-21T08:09:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pii-pile-chunk3-50000-100000-tagged"
More Information needed | [
"# Dataset Card for \"pii-pile-chunk3-50000-100000-tagged\"\n\nMore Information needed"
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7564def708f898ee607c78005fb4e67fd1c198c0 | # Dataset Card for "private_common_voice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MohammedNasri/private_common_voice | [
"region:us"
] | 2023-01-21T09:14:06+00:00 | {"dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "input_length", "dtype": "float64"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 36964365264.0, "num_examples": 38481}, {"name": "test", "num_bytes": 10027864480, "num_example... | 2023-01-21T09:21:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "private_common_voice"
More Information needed | [
"# Dataset Card for \"private_common_voice\"\n\nMore Information needed"
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db6e5361ae49622190a73e1a5bf32ec48360a2da |
# Dataset Card for "imdb_dutch"
## 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-instance... | yhavinga/imdb_dutch | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
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"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:nl",
"language:en",
"license:other",
"reg... | 2023-01-21T09:37:16+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["nl", "en"], "license": ["other"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classific... | 2023-01-21T10:57:39+00:00 | [] | [
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| Dataset Card for "imdb\_dutch"
==============================
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
+ A... | [
"### Dataset Summary\n\n\nLarge Movie Review Dataset translated to Dutch.\n\n\nThis is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets.\nWe provide a set of 24,992 highly polar movie reviews for training, and 24,992 for testing. There is additional u... | [
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9153a394ed5a5b4d3a9b8ec4e1a4322b8e47ddd4 | # Dataset Card for "bookcorpus_compact_1024_test"
6160 samples randomly sampled from the shard9 of Bookcorpus_compact_1024
```python
from datasets import load_dataset
from datasets import Dataset
corpus_name="xxx"
ds = load_dataset(corpus_name, split="train")
shuffled_ds = ds.shuffle(seed=42)
test_ds = Dataset.from... | saibo/bookcorpus_compact_1024_test | [
"region:us"
] | 2023-01-21T10:51:30+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 75334225, "num_examples": 6160}], "download_size": 38920916, "dataset_size": 75334225}} | 2023-01-22T23:37:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_1024_test"
6160 samples randomly sampled from the shard9 of Bookcorpus_compact_1024
More Information needed | [
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] |
887026827822dfa3fe7258c414e6b04c5618fd09 | # Dataset Card for CSS10 Hungarian: Single Speaker Speech Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances... | KTH/hungarian-single-speaker-tts | [
"task_categories:text-to-speech",
"task_categories:other",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:hu",
"license:cc0-1.0",
"arxiv:1903.11269",
"region:us"
] | 2023-01-21T12:03:09+00:00 | {"annotations_creators": ["expert-generated"], "language": ["hu"], "license": "cc0-1.0", "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-to-speech", "other"], "task_ids": [], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, ... | 2023-01-22T13:11:38+00:00 | [
"1903.11269"
] | [
"hu"
] | TAGS
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| # Dataset Card for CSS10 Hungarian: Single Speaker Speech Dataset
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Persona... | [
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fd28fdcc46ca1bdad8e16325cca653d3fb586906 | # Dataset Card for "patched_1000_test_p_150_m2_predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_1000_test_p_150_m2_predictions | [
"region:us"
] | 2023-01-21T12:13:40+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "features", "sequence": "float64"}, {"name": "m2_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 9279744396, "num_examples": 1035692}], "do... | 2023-01-21T12:20:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_1000_test_p_150_m2_predictions"
More Information needed | [
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ba1ece2c445f6ba6106eaad61108272e4e93b3ce |
Regularization images of several types.
CFG Scale: 7
Sampler: DDIM
Steps: 50
Size: see file name
Prompt: see file name
Neg. Prompt: none
#images: see file name
VAE: none
Lora: none
Model for 512x512: SD V1.5
Model for 768x768: SD V2.1
| dragonink/StableDiffusion-Regularization-Images | [
"license:mit",
"region:us"
] | 2023-01-21T13:29:54+00:00 | {"license": "mit"} | 2023-01-22T13:43:56+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Regularization images of several types.
CFG Scale: 7
Sampler: DDIM
Steps: 50
Size: see file name
Prompt: see file name
Neg. Prompt: none
#images: see file name
VAE: none
Lora: none
Model for 512x512: SD V1.5
Model for 768x768: SD V2.1
| [] | [
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98946f840588c333e5d3a1f028c4d7eb4da74beb | ## Dataset audio info
- 16000 Hz 16 bit
- wav
- mono
- Russian speech
## Dataset instance structure
{'audio': {'path': '/path/to/wav.wav',
'array': array([wav numpy array]), dtype=float32),
'sampling_rate': 16000},
'transcription': 'транскрипция'}
## Citation
@Misc{Voxforge.org,
author = {Voxforge.org},
title... | dangrebenkin/voxforge-ru-dataset | [
"license:apache-2.0",
"region:us"
] | 2023-01-21T14:34:23+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "transcription", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 1947609729.4653895, "num_examples": 6169}, {"name": "test", "num_bytes": 864278563.4406104, "num_examples": 26... | 2023-02-06T19:23:29+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ## Dataset audio info
- 16000 Hz 16 bit
- wav
- mono
- Russian speech
## Dataset instance structure
{'audio': {'path': '/path/to/URL',
'array': array([wav numpy array]), dtype=float32),
'sampling_rate': 16000},
'transcription': 'транскрипция'}
@Misc{URL,
author = {URL},
title = {Free Speech... Recognition (Lin... | [
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90243c00259e684300f4f03ef057848a8ee68f17 | Датасет ассоциаций к русским существительным | solkogan/russian_nouns_associations | [
"task_categories:conversational",
"size_categories:100K<n<1M",
"language:ru",
"region:us"
] | 2023-01-21T14:59:46+00:00 | {"language": ["ru"], "size_categories": ["100K<n<1M"], "task_categories": ["conversational"]} | 2023-01-21T15:12:42+00:00 | [] | [
"ru"
] | TAGS
#task_categories-conversational #size_categories-100K<n<1M #language-Russian #region-us
| Датасет ассоциаций к русским существительным | [] | [
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18d9f1c1395ae061a34be544253d763b5fa39b71 | Датасет для классификации существительных русского языка | solkogan/nouns_classes | [
"task_categories:text-classification",
"size_categories:100K<n<1M",
"language:ru",
"region:us"
] | 2023-01-21T15:17:48+00:00 | {"language": ["ru"], "size_categories": ["100K<n<1M"], "task_categories": ["text-classification"]} | 2023-01-21T15:23:11+00:00 | [] | [
"ru"
] | TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-Russian #region-us
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5275a96cea765dc3bbfd41e6034485791704ed69 | https://github.com/google-deepmind/logical-entailment-dataset
```
@inproceedings{
evans2018can,
title={Can Neural Networks Understand Logical Entailment?},
author={Richard Evans and David Saxton and David Amos and Pushmeet Kohli and Edward Grefenstette},
booktitle={International Conference on Learning Representations},... | tasksource/logical-entailment | [
"license:apache-2.0",
"region:us"
] | 2023-01-21T15:27:45+00:00 | {"license": "apache-2.0", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "A", "dtype": "string"}, {"name": "B", "dtype": "string"},... | 2024-01-19T09:37:11+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| URL
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254ac58b7ce1716a32f244b80e390359e201aadc |
# PVC figure products dataset
This dataset contains product information of figure images scraped from multiple Web sites.
## Dataset information
|Subset|Source|Size|
|-|-|-|
|`goodsmile-figma`|https://www.goodsmile.info/ja/products/category/figma/announced/2023|947|
|`goodsmile-nendoroid`|https://www.goodsmile.info... | p1atdev/pvc | [
"size_categories:1K<n<10K",
"language:en",
"language:ja",
"license:cc0-1.0",
"region:us"
] | 2023-01-21T16:12:04+00:00 | {"language": ["en", "ja"], "license": "cc0-1.0", "size_categories": ["1K<n<10K"], "dataset_info": [{"config_name": "goodsmile-figma", "features": [{"name": "id", "dtype": "string"}, {"name": "image_urls", "sequence": "string"}, {"name": "details", "struct": [{"name": "", "dtype": "string"}, {"name": "Bag Design Assista... | 2023-11-29T12:01:52+00:00 | [] | [
"en",
"ja"
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#size_categories-1K<n<10K #language-English #language-Japanese #license-cc0-1.0 #region-us
| PVC figure products dataset
===========================
This dataset contains product information of figure images scraped from multiple Web sites.
Dataset information
-------------------
Subset: 'goodsmile-figma', Source: URL, Size:
Subset: 'goodsmile-nendoroid', Source: URL, Size:
Subset: 'goodsmile-scale', S... | [] | [
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36844e1a894d33a3dd2c68c40aa491431317ca60 | # Dataset Card for "dreambooth-hackathon-nala"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ben-yu/dreambooth-hackathon-nala | [
"region:us"
] | 2023-01-21T16:13:36+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 87657557.0, "num_examples": 20}], "download_size": 87645130, "dataset_size": 87657557.0}} | 2023-01-21T16:13:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dreambooth-hackathon-nala"
More Information needed | [
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7765a2e7e8255766f36169d5265cfcb5993b14ac |
# 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... | anjalyjayakrishnan/test | [
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"language:bfz",
... | 2023-01-21T17:15:34+00:00 | {"annotations_creators": [{}], "language_creators": [{}], "language": ["hi", "bgc", "kfs", "dgo", "bhd", "gbk", "xnr", "kfx", "mjl", "kfo", "bfz"], "license": [], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": ["Snow Mountain"], "task_categories": ["automatic-speech-recognition"], "task_... | 2023-02-03T14:08:32+00:00 | [
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# Dataset Card for [Dataset Name]
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2af40e78838da0dd2c35631edc30dc09ec7551c3 | # Dataset Card for "plant_species"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jbarat/plant_species | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"language:en",
"license:unknown",
"region:us"
] | 2023-01-21T17:50:33+00:00 | {"language": ["en"], "license": "unknown", "size_categories": ["10K<n<100K"], "task_categories": ["image-classification"], "pretty_name": "Plant Species", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "aechmea_fasciata", "1": "agave_america... | 2023-01-22T14:03:45+00:00 | [] | [
"en"
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#task_categories-image-classification #size_categories-10K<n<100K #language-English #license-unknown #region-us
| # Dataset Card for "plant_species"
More Information needed | [
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b192525fc7e0b440cef7a930f829475491678168 |
# GovReport Summarization - 8192 tokens
- `ccdv/govreport-summarization` with the changes of:
- data cleaned with the [clean-text python package](https://pypi.org/project/clean-text/)
- total tokens for each column computed and added in new columns according to the `long-t5` tokenizer (_done **after** cleaning_)
... | pszemraj/govreport-summarization-8192 | [
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"language:en",
"license:apache-2.0",
"govreport",
"long document",
"region:us"
] | 2023-01-21T19:04:28+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "source_datasets": "ccdv/govreport-summarization", "task_categories": ["summarization"], "pretty_name": "GovReport Summarization - 8192 tokens", "tags": ["govreport", "long document"]} | 2023-04-21T21:17:46+00:00 | [] | [
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#task_categories-summarization #size_categories-1K<n<10K #source_datasets-ccdv/govreport-summarization #language-English #license-apache-2.0 #govreport #long document #region-us
|
# GovReport Summarization - 8192 tokens
- 'ccdv/govreport-summarization' with the changes of:
- data cleaned with the clean-text python package
- total tokens for each column computed and added in new columns according to the 'long-t5' tokenizer (_done after cleaning_)
---
## train info
## token length distri... | [
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456efd85d3cf03ee13e7b28cd9e34657c8b5c15b |
# Dataset Card for spaeti_store
## Dataset Description
The dataset consists of 12 pictures of different spätis (German convenience stores) from different angles.
The data is unlabeled.
The dataset was created to fine-tune a text-to-image Stable Diffusion model as part of the DreamBooth Hackathon. Visit the [organiza... | malysheva42/spaeti_stores | [
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"task_categories:image-classification",
"size_categories:n<1K",
"license:openrail",
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] | 2023-01-21T19:41:50+00:00 | {"license": "openrail", "size_categories": ["n<1K"], "task_categories": ["image-to-text", "image-segmentation", "image-to-image", "image-classification"]} | 2023-02-07T18:09:43+00:00 | [] | [] | TAGS
#task_categories-image-to-text #task_categories-image-segmentation #task_categories-image-to-image #task_categories-image-classification #size_categories-n<1K #license-openrail #region-us
|
# Dataset Card for spaeti_store
## Dataset Description
The dataset consists of 12 pictures of different spätis (German convenience stores) from different angles.
The data is unlabeled.
The dataset was created to fine-tune a text-to-image Stable Diffusion model as part of the DreamBooth Hackathon. Visit the organizat... | [
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a2a0b33eb96a95e0c260667a45f8a8e807d569c6 |
**‼️ This is not a real dataset!‼️** This dataset is used to demo using Hub [webooks](https://huggingface.co/docs/hub/webhooks) to automate metadata quality review. | davanstrien/test_webhook | [
"license:openrail",
"region:us"
] | 2023-01-21T20:04:00+00:00 | {"license": "openrail"} | 2023-01-31T15:27:27+00:00 | [] | [] | TAGS
#license-openrail #region-us
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d04051a88744820ac8f257ce48ad8e89ffa19b96 | # Dataset Card for "yolochess_deepblue"
Source: https://github.com/niklasf/python-chess/tree/master/data/pgn
Features:
- fen = Chess board position in [FEN](https://en.wikipedia.org/wiki/Forsyth%E2%80%93Edwards_Notation) format
- move = Move played by a strong human player in this position
- result = Final result of... | jrahn/yolochess_deepblue | [
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"size_categories:n<1K",
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| # Dataset Card for "yolochess_deepblue"
Source: URL
Features:
- fen = Chess board position in FEN format
- move = Move played by a strong human player in this position
- result = Final result of the match
- eco = Opening ECO-code
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5ee18cb324f084c03c03f649d77432fec0bf146a | # Dataset Card for "patched_1000_test_p_40_m2_predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_1000_test_p_40_m2_predictions | [
"region:us"
] | 2023-01-21T21:16:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "features", "sequence": "float64"}, {"name": "m2_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 8380474294, "num_examples": 942535}], "dow... | 2023-01-21T21:23:36+00:00 | [] | [] | TAGS
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| # Dataset Card for "patched_1000_test_p_40_m2_predictions"
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b8ed08c39133ff3c59fe8cd3854a4f7c0876fcb0 | ## My Notes 📓
This repository contains my lecture notes from graduate school on following topics 👇🏼
- Data Science: 8 cheatsheets
- Machine Learning (follows [Tom Mitchell's book](http://www.cs.cmu.edu/~tom/mlbook.html)): 25 pages of notes
- Statistics: 9 cheatsheets
- Deep Learning: 12 cheatsheets, will upload mor... | merve/my_notes | [
"license:apache-2.0",
"region:us"
] | 2023-01-21T21:35:32+00:00 | {"license": "apache-2.0"} | 2023-01-22T14:54:19+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ## My Notes
This repository contains my lecture notes from graduate school on following topics
- Data Science: 8 cheatsheets
- Machine Learning (follows Tom Mitchell's book): 25 pages of notes
- Statistics: 9 cheatsheets
- Deep Learning: 12 cheatsheets, will upload more
- Image Processing (follows digital image proc... | [] | [
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8e1bf642ae77cc209c00d13dc808abbea0d2b1b7 | # Dataset Card for "OxfordPets_test_facebook_opt_350m_Visclues_ns_20"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_350m_Visclues_ns_20 | [
"region:us"
] | 2023-01-21T22:06:18+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_5_bs_3", "num_bytes"... | 2023-01-22T04:38:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_350m_Visclues_ns_20"
More Information needed | [
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dc19a6a3f100050376f84a52a2bf5a2de322d64f | # Dataset Card for "third_experiment_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arefm/third_experiment_data | [
"region:us"
] | 2023-01-21T22:54:44+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "id", "dtype": "string"}, {"name": "texts", "dtype": "string"}, {"name": "noisy_audio_0", "dtype": "audio"}, {"name": "noisy_audio_10", "dtype": "audio"}, {"name": "noisy_audio_20", "dtype": "audio"}, {"name": "noisy_audio_30", "dtype": "audio... | 2023-01-21T22:57:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "third_experiment_data"
More Information needed | [
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e157acbed57741fdaa82e56ef8a6a6525a0dfdd0 | # Dataset Card for "pii-pile-chunk3-150000-200000-tagged"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | j-chim/pii-pile-chunk3-150000-200000-tagged | [
"region:us"
] | 2023-01-21T23:05:44+00:00 | {"dataset_info": {"features": [{"name": "texts", "sequence": "string"}, {"name": "meta", "struct": [{"name": "pile_set_name", "dtype": "string"}]}, {"name": "scores", "sequence": "float64"}, {"name": "avg_score", "dtype": "float64"}, {"name": "num_sents", "dtype": "int64"}, {"name": "tagged_pii_results", "list": [{"nam... | 2023-01-21T23:06:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pii-pile-chunk3-150000-200000-tagged"
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da5407f6fa62895b25315b4a1ed4bca3704c8039 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hug... | samp3209/logo-dataset | [
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#region-us
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## Dataset Description
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### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
### Supported Tasks and Leaderboards
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a5de7c0293a6bfb83c5104b290b0902094f45976 |
# ParaShoot
[ParaShoot](https://github.com/omrikeren/ParaShoot): A Hebrew question and answering dataset in the style of [SQuAD](https://arxiv.org/abs/1606.05250), based on articles scraped from Wikipedia. The dataset contains a few thousand crowdsource-annotated pairs of questions and answers, in a setting suitable ... | imvladikon/parashoot | [
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#task_categories-question-answering #language-Hebrew #arxiv-1606.05250 #arxiv-2109.11314 #region-us
| ParaShoot
=========
ParaShoot: A Hebrew question and answering dataset in the style of SQuAD, based on articles scraped from Wikipedia. The dataset contains a few thousand crowdsource-annotated pairs of questions and answers, in a setting suitable for few-shot learning.
For more details and quality analysis, see th... | [] | [
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d5ea85a28342947bfa0ad94075840f21373a256d | # Dataset Card for "hack"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | merkalo-ziri/hack | [
"region:us"
] | 2023-01-22T00:34:59+00:00 | {"dataset_info": {"features": [{"name": "labels", "sequence": "int64"}, {"name": "pixel_values", "sequence": {"sequence": {"sequence": "float32"}}}], "splits": [{"name": "train", "num_bytes": 10719767724, "num_examples": 17679}, {"name": "test", "num_bytes": 2680093520, "num_examples": 4420}], "download_size": 29986284... | 2023-01-30T18:51:03+00:00 | [] | [] | TAGS
#region-us
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6ffe8fc804065cbfecc26cec94f00b702a9dce30 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: lewtun/autotrain-acronym-identification-7324788
* Dataset: acronym_identification
* Config: default
* S... | autoevaluate/autoeval-eval-acronym_identification-default-d2d5a9-3002686420 | [
"autotrain",
"evaluation",
"region:us"
] | 2023-01-22T01:09:57+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["acronym_identification"], "eval_info": {"task": "entity_extraction", "model": "lewtun/autotrain-acronym-identification-7324788", "metrics": [], "dataset_name": "acronym_identification", "dataset_config": "default", "dataset_split": "validation",... | 2023-01-22T01:10:47+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: Token Classification
* Model: lewtun/autotrain-acronym-identification-7324788
* Dataset: acronym_identification
* Config: default
* Split: validation
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