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7cd8020a4fd1f511fa6e94949800cc6e68410027 | This dataset contains images used in the documentation of HuggingFace's Optimum library. | optimum/documentation-images | [
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10ecf033e30880bf2bfbf51f7c1b88684ccfbb43 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
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- [Dataset Summary](#dataset-summary)
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- [Languages](#languages)
- [Dataset Structure](#dataset-st... | DTU54DL/common-native | [
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# Dataset Card for [Dataset Name]
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b64163f010caf82f1d7393ea0d799459e089f69c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
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* Model: autoevaluate/binary-classification
* Dataset: glue
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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469f8914c49ddeecd0dc060a315a3d2077dd4209 |
# Dataset Card for ccGigafida
This repository by default loads the publicly available dataset ccGigafida, which contains a small subset of the Gigafida/Gigafida2 corpus.
The full datasets are private due to copyright. **If you happen to have access to the full datasets, the script will also work with those.**
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# Dataset Card for ccGigafida
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1dd58f346b4f22529f1b9893c5c5cf504fac0a68 | # Dataset Card for "multi-label-class-github-issues-text-classification"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rami/multi-label-class-github-issues-text-classification | [
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76260d2a26c2848b0f307b99be4f5058e7c5f6e8 | Dataset of captioned spectrograms (text describing the sound). | vucinatim/spectrogram-captions | [
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a769431e550840dd0df50afe70a8b7b7cd78b9a2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b1
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemaki... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-c9cce3-2280272258 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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cf1bea37aacfb2af416f095e18f9e6502183ed5c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
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* Model: autoevaluate/binary-classification
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48e2443255e9b9e37fda73d8e63d8c30386eb2c5 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
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40963fbe2a534dd6f31561bef69f0f23419c6c28 | # Dataset Card for AutoTrain Evaluator
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b013fdf8217123ef334fd6961e1b61c95025b28b |
# Dataset Card for cSQuAD1
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-insta... | dferndz/cSQuAD1 | [
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| Dataset Card for cSQuAD1
========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
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* Additional Information
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7ca3ac844c7902a4e397f30a25dc9957c0741bd6 | # Dataset Card for "olm-test-no-dedup"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/olm-test-no-dedup | [
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] | 2022-11-30T00:03:44+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "crawl_timestamp", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 249659214.0, "num_examples": 46032}], "download_size": 149319674, "dataset_size": 249659214.0}} | 2022-11-30T00:03:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "olm-test-no-dedup"
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8d888f4ccdc85c0aaa139556fd5ce59ab713a5de | # Dataset Card for "olm-test-normal-dedup"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/olm-test-normal-dedup | [
"region:us"
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#region-us
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678d3b2173afb3c46c3df869598e41f5f382b199 | # Dataset Card for "olm-test-normal-dedup-sorted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/olm-test-normal-dedup-sorted | [
"region:us"
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#region-us
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a9a95432d0625e10bef6188c8196c8eaa9e24847 | # Dataset Card for "olm-test-no-dedup-sorted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/olm-test-no-dedup-sorted | [
"region:us"
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35f8d4a5476b9a971bc5f456a2fc55b266a15a76 |
# Dataset Card for cSQuAD2
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-insta... | dferndz/cSQuAD2 | [
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| Dataset Card for cSQuAD2
========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Additional Information
+ Licensing Information
+ Citation Informa... | [
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"### Data Instances\n\n\nDataset contains 40 instances",
"### Data Fields",
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e9e803033b0e37f72915b6d812d8a85d7b64dbf9 |
# Dataset Card for [Stackoverflow Post Questions]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Splits](#data-splits)
- [Dataset Creati... | pacovaldez/stackoverflow-questions-2016 | [
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|
# Dataset Card for [Stackoverflow Post Questions]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Splits
- Dataset Creation
- Source Data
- Contributions
## Dataset Description
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f1cce90e993c9dc149d89aaef72146f291d04c24 | # Dataset Card for "train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | devincapriola/train | [
"region:us"
] | 2022-11-30T01:58:19+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 291158.0, "num_examples": 15}], "download_size": 286037, "dataset_size": 291158.0}} | 2022-11-30T01:58:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "train"
More Information needed | [
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4578324578f80d0c1b26940c71881ba7059d923f | # Dataset Card for "train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gavincapriola/train | [
"region:us"
] | 2022-11-30T01:58:21+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 291158.0, "num_examples": 15}], "download_size": 286037, "dataset_size": 291158.0}} | 2022-11-30T01:58:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "train"
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aaa35d616834f34f8efcc4e050fd477564b2a7c6 | # Dataset Card for "cc_olm_no_bigscience_filters"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/cc_olm_no_bigscience_filters | [
"region:us"
] | 2022-11-30T02:02:11+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "crawl_timestamp", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 166774086.86538956, "num_examples": 30389}], "download_size": 53612339, "dataset_size": 166774086.86538956}} | 2022-11-30T02:19:18+00:00 | [] | [] | TAGS
#region-us
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78a469f4bdcc13437b291ee6b50dc7c49ab562e8 | # Dataset Card for "cc_olm_no_dedup"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/cc_olm_no_dedup | [
"region:us"
] | 2022-11-30T02:12:32+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "crawl_timestamp", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 249659214, "num_examples": 46032}], "download_size": 148670687, "dataset_size": 249659214}} | 2022-11-30T02:12:39+00:00 | [] | [] | TAGS
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| # Dataset Card for "cc_olm_no_dedup"
More Information needed | [
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9df6fd230bec11170c0cedab5b502969264cb9d5 | # Dataset Card for "cc_olm_standard_suffix_array_dedup"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/cc_olm_standard_suffix_array_dedup | [
"region:us"
] | 2022-11-30T02:17:28+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "crawl_timestamp", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 194046870.62526068, "num_examples": 41463}], "download_size": 130811345, "dataset_size": 194046870.62526068}} | 2022-11-30T02:17:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cc_olm_standard_suffix_array_dedup"
More Information needed | [
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221236d6f972cde27d3ca4ff1e8c4815b0c53dc4 | # Dataset Card for "medmcqa_age_gender"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | society-ethics/medmcqa_age_gender | [
"region:us"
] | 2022-11-30T02:20:29+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "opa", "dtype": "string"}, {"name": "opb", "dtype": "string"}, {"name": "opc", "dtype": "string"}, {"name": "opd", "dtype": "string"}, {"name": "cop", "dtype": "int64"}, {"name": "choice_type", "dtype": "... | 2022-11-30T02:59:21+00:00 | [] | [] | TAGS
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| # Dataset Card for "medmcqa_age_gender"
More Information needed | [
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1a071ac7df3bd8ed577788253140eb276737134d | # Dataset Card for "amazon-shoe-reviews"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mchen72/amazon-shoe-reviews | [
"region:us"
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#region-us
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More Information needed | [
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3c17b8671042b339f203018aef02f7b3088615e4 |
# 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... | DTU54DL/common-native-proc | [
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# Dataset Card for [Dataset Name]
## Table of Contents
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e5c3719d0092d25288c49a5d55e10b1f81e56021 |
# Dataset Card for Nail Biting Classification
## 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]... | alecsharpie/nailbiting_classification | [
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|
# Dataset Card for Nail Biting Classification
## Table of Contents
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- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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9095e8f6dc0f0bb51623ee632058b625271171dd |
# 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)
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# Dataset Card for [Dataset Name]
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6f70815ecc5a8a6bef1f20e5c889b8872a047c38 |
# Dataset version 2
Work in progress...
| albertvillanova/dummy-version | [
"source_datasets:extended|go_emotions",
"license:openrail",
"region:us"
] | 2022-11-30T08:53:55+00:00 | {"license": "openrail", "source_datasets": ["extended|go_emotions"]} | 2022-12-02T10:43:51+00:00 | [] | [] | TAGS
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Work in progress...
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5fb84d922ac6af2428ac1453f0b237fba17b2140 | # Dataset Card for "hindawi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gagan3012/hindawi | [
"region:us"
] | 2022-11-30T09:16:31+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Noto_Sans_Arabic", "1": "Readex_Pro", "2": "Amiri", "3": "Noto_Kufi_Arabic", "4": "Reem_Kufi_Fun", "5": "Lateef", "6": "Changa", "7": "Kufam", "8": "ElMessiri", "9": "Reem_Kufi", "10": "Noto_N... | 2022-12-12T00:34:11+00:00 | [] | [] | TAGS
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| # Dataset Card for "hindawi"
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901ab25812e9d8de92aae67ad015699f001a4b58 |
# ShapeNet SDF Sample Dataset
This is a subset of the [ShapeNet SDF Dataset](https://ls7-data.cs.tu-dortmund.de/shape_net/ShapeNet_SDF.tar.gz) provided by the [ShapeGan Project](https://github.com/marian42/shapegan).<br>
Only Uniform SDF samples are included.
### Contents
The dataset contains 8,320 data samples. Ea... | AlexWolski/ShapeNet-SDF-Uniform | [
"annotations_creators:no-annotation",
"size_categories:1K<n<10K",
"Artificial Intelligence",
"Machine Learning",
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#annotations_creators-no-annotation #size_categories-1K<n<10K #Artificial Intelligence #Machine Learning #Computational Geometry #region-us
|
# ShapeNet SDF Sample Dataset
This is a subset of the ShapeNet SDF Dataset provided by the ShapeGan Project.<br>
Only Uniform SDF samples are included.
### Contents
The dataset contains 8,320 data samples. Each data sample contains 200,000 uniformly distributed points and their corresponding SDF values.<br>
The dat... | [
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40afa4c0aae68de7f75c8837c303ffcac1630cc4 | # Dataset Card for "laion-hd-subset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/laion-hd-subset | [
"region:us"
] | 2022-11-30T09:48:05+00:00 | {"dataset_info": {"features": [{"name": "similarity", "dtype": "float64"}, {"name": "hash", "dtype": "int64"}, {"name": "punsafe", "dtype": "float64"}, {"name": "pwatermark", "dtype": "float64"}, {"name": "LANGUAGE", "dtype": "string"}, {"name": "caption", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name"... | 2022-11-30T11:07:56+00:00 | [] | [] | TAGS
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| # Dataset Card for "laion-hd-subset"
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95a568b549723e0a383b3582e8dd6e8174d15b50 | This is a Swedish NE dataset, Swe-NERC v1. Please see https://hdl.handle.net/10794/121 for more information.
Included here is the manually tagged part.
| vesteinn/swe-nerc | [
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#region-us
| This is a Swedish NE dataset, Swe-NERC v1. Please see URL for more information.
Included here is the manually tagged part.
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9a392a9604a06b4d20929bfb75e8bd220dd10062 | ## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Additional Information](#additional-information)
- [Citation Information](#citation-information)
- [... | SauravMaheshkar/tox21_SRp53 | [
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- Dataset Summary
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# Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
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81c1547cf4314a74f60c136171327a164430ac7b |
# Germeval Task 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback
In the connected, modern world, customer feedback is a valuable source for insights on the quality of products or services. This feedback allows other customers to benefit from the experiences of others and enables businesse... | malteos/germeval2017 | [
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07c4ea16f5d86bc8678df33857a64172d6f588f6 |
# 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)
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5f2ed7957159a3386228b4ac8cbc9e72c0ccca18 |
# Dataset Card for [Dataset Name]
## Table of Contents
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- [Dataset Summary](#dataset-summary)
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520557a22a9299f45211e9bf66ee75bcd4b8c8d7 | # Elite Voice Project
これはホロライブ所属Vtuberさくらみこ氏の声をデータセット化し音声認識などで活用できるようにする事を目的とした非公式プロジェクトです。
---
# LICENSEについて
## データセット内の音声データ
すべてのデータは、[hololive productionの二次創作ガイドライン](https://hololive.hololivepro.com/guidelines/)に準拠する形で利用されています。
これらのデータの著作権はカバー株式会社等が保有しており、リポジトリオーナー、コントリビューターは一切の権利を有しておりません。
---
# 当プロジェクトへのご協... | Elite35P-Server/EliteVoiceProject | [
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"language_creators:さくらみこ",
"language_creators:hololive production",
"multilinguality:monolingual",
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"region:us"
] | 2022-11-30T16:10:15+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["\u3055\u304f\u3089\u307f\u3053", "hololive production"], "language": ["ja"], "license": "other", "multilinguality": ["monolingual"]} | 2023-01-14T19:28:16+00:00 | [] | [
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| # Elite Voice Project
これはホロライブ所属Vtuberさくらみこ氏の声をデータセット化し音声認識などで活用できるようにする事を目的とした非公式プロジェクトです。
---
# LICENSEについて
## データセット内の音声データ
すべてのデータは、hololive productionの二次創作ガイドラインに準拠する形で利用されています。
これらのデータの著作権はカバー株式会社等が保有しており、リポジトリオーナー、コントリビューターは一切の権利を有しておりません。
---
# 当プロジェクトへのご協力
当プロジェクトは皆様のご協力を心より歓迎いたします。 以下の方法をご一読いただき、そのうえ... | [
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6d84ffafa2b74d9c9b8d567ad338ad2e6c255a6d |
# Dataset Card for JSNLI
[](https://github.com/shunk031/huggingface-datasets_jsnli/actions/workflows/ci.yaml)
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
... | shunk031/jsnli | [
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"nli",
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] | 2022-11-30T16:34:02+00:00 | {"language": ["ja"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference", "multi-input-text-classification"], "tags": ["natural-language-inference", "nli", "jsnli"], "datasets": ["without-filtering", "with-filtering"], "m... | 2022-12-12T07:36:58+00:00 | [] | [
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| Dataset Card for JSNLI
======================
![CI](URL
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Dataset Preprocessing
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
... | [
"### Dataset Summary\n\n\n日本語 SNLI(JSNLI) データセット - KUROHASHI-CHU-MURAWAKI LAB より：\n\n\n\n> \n> 本データセットは自然言語推論 (NLI) の標準的ベンチマークである SNLI を日本語に翻訳したものです。\n> \n> \n>",
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19f3c7b2cc41d158ff70a666de27f76098a1b2e6 |
# Dataset Card for clintox
## 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... | zpn/clintox | [
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|
# Dataset Card for clintox
## 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
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- Source Data
- Annotations
- Personal... | [
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f22a1ceffaa5ecbecebef3f5ab15a33c3ee14768 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-large-book-summary-continued-r1
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-dd12a3-2278572227 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-large-book-summary-continued-r1
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, visit ... | [
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0873f3eccba2eb07fc45a3b8faf4186c1345d6f4 |
# Dataset Card for delaney
## 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... | zpn/delaney | [
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|
# Dataset Card for delaney
## 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
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- Annotations
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8594ad93c7a05b0ecc54c29cd02b420488bf43be | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: Aiyshwariya/bert-finetuned-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new ev... | autoevaluate/autoeval-eval-squad-plain_text-fee91a-2282172274 | [
"autotrain",
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] | 2022-11-30T17:11:01+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "Aiyshwariya/bert-finetuned-squad", "metrics": ["squad", "squad_v2"], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping":... | 2022-11-30T17:14:25+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: Aiyshwariya/bert-finetuned-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's ... | [
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47893bb4d8be15289e58d75665af1afad1dde61d |
# Dataset Card for clearance
## 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-structu... | zpn/clearance | [
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|
# Dataset Card for clearance
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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- Dataset Structure
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- Data Fields
- Data Splits
- Dataset Creation
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7c185766c22ed4bc33f33e9831376e1985c9a2df |
# Dataset Card for lipo
## 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)
... | zpn/lipo | [
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|
# Dataset Card for lipo
## 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
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788e8b5132cc61fc19a71a4f9fb54a15b4d10b29 |
# Dataset Card for bbbp
## 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)
... | zpn/bbbp | [
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|
# Dataset Card for bbbp
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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- Dataset Structure
- Data Instances
- Data Fields
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- Dataset Creation
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01c891497eccf050072a24aca0d66613e10d3310 |
# Dataset Card for fcc-comments
## 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... | slnader/fcc-comments | [
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| Dataset Card for fcc-comments
=============================
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
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... | [
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2b8093c6599dd3999aa44a7a14af75c52df9362d |
# Yellow Module embedding
## Samples
<img alt="Samples" src="https://huggingface.co/datasets/DJSoft/yellow_module/resolve/main/samples.jpg" style="max-height: 80vh"/>
## About
Use this Stable Diffusion embedding to achieve the Project Diva Yellow outfit
## Usage
To use this embedding you have to download the fil... | DJSoft/yellow_module | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-11-30T17:58:12+00:00 | {"license": "creativeml-openrail-m"} | 2022-11-30T18:11:04+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
|
# Yellow Module embedding
## Samples
<img alt="Samples" src="URL style="max-height: 80vh"/>
## About
Use this Stable Diffusion embedding to achieve the Project Diva Yellow outfit
## Usage
To use this embedding you have to download the file and put it into the "\stable-diffusion-webui\embeddings" folder
To use ... | [
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c14b14f8b23079d25070d66b7db892b73d819632 | # Dataset Card for "google"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | steciuk/google | [
"region:us"
] | 2022-11-30T18:33:07+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1640375, "num_examples": 10504}], "download_size": 971872, "dataset_size": 1640375}} | 2022-11-30T18:33:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "google"
More Information needed | [
"# Dataset Card for \"google\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"google\"\n\nMore Information needed"
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11
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"google\"\n\nMore Information needed"
] |
f45d740c271d390ae25c4ec4b83bb1a1386d6419 | # Dataset Card for "imdb"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | steciuk/imdb | [
"region:us"
] | 2022-11-30T18:33:22+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 52901123, "num_examples": 40000}], "download_size": 34391296, "dataset_size": 52901123}} | 2022-11-30T18:33:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "imdb"
More Information needed | [
"# Dataset Card for \"imdb\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"imdb\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"imdb\"\n\nMore Information needed"
] |
e65b73b9d65fdcd430b4574eca0ef9ba6c346e4e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-x-large-book-summary-C-r2
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-66d70e-2296872703 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-30T19:05:45+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/pegasus-x-large-book-summary-C-r2", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_mapping": {"text"... | 2022-12-01T01:21:36+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: Summarization
* Model: pszemraj/pegasus-x-large-book-summary-C-r2
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/pegasus-x-large-book-summary-C-r2\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/pegasus-x-large-book-summary-C-r2\n* Dataset: kmfoda/booksum\n* Config: kmfoda-... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/pegasus-x-large-book-summary-C-r2\n* Dataset: kmfoda/booksum\n* Config: kmfo... |
045259d09f4357fc85422d0bf6a7f6d0da41a4fa | # Caltech-101 Webdataset (Test set only)
Original paper: [One-shot learning of object categories](https://ieeexplore.ieee.org/document/1597116)
Homepage: https://data.caltech.edu/records/mzrjq-6wc02
Bibtex:
```
@misc{li_andreeto_ranzato_perona_2022,
title={Caltech 101},
DOI={10.22002/D1.20086},
publisher... | djghosh/wds_vtab-caltech101_test | [
"region:us"
] | 2022-11-30T21:35:43+00:00 | {} | 2022-12-12T20:37:10+00:00 | [] | [] | TAGS
#region-us
| # Caltech-101 Webdataset (Test set only)
Original paper: One-shot learning of object categories
Homepage: URL
Bibtex:
| [
"# Caltech-101 Webdataset (Test set only)\n\nOriginal paper: One-shot learning of object categories\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# Caltech-101 Webdataset (Test set only)\n\nOriginal paper: One-shot learning of object categories\n\nHomepage: URL\n\nBibtex:"
] | [
6,
31
] | [
"passage: TAGS\n#region-us \n# Caltech-101 Webdataset (Test set only)\n\nOriginal paper: One-shot learning of object categories\n\nHomepage: URL\n\nBibtex:"
] |
2510fd71df6bdc8a87a62a5bbb342d1e6dc30dcb | # CIFAR-100 Webdataset (Test set only)
Original paper: [Learning Multiple Layers of Features from Tiny Images](https://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf)
Homepage: https://www.cs.toronto.edu/~kriz/cifar.html
Bibtex:
```
@TECHREPORT{Krizhevsky09learningmultiple,
author = {Alex Krizhevsky},
... | djghosh/wds_vtab-cifar100_test | [
"region:us"
] | 2022-11-30T21:41:23+00:00 | {} | 2022-12-12T20:25:53+00:00 | [] | [] | TAGS
#region-us
| # CIFAR-100 Webdataset (Test set only)
Original paper: Learning Multiple Layers of Features from Tiny Images
Homepage: URL
Bibtex:
| [
"# CIFAR-100 Webdataset (Test set only)\n\nOriginal paper: Learning Multiple Layers of Features from Tiny Images\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# CIFAR-100 Webdataset (Test set only)\n\nOriginal paper: Learning Multiple Layers of Features from Tiny Images\n\nHomepage: URL\n\nBibtex:"
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"passage: TAGS\n#region-us \n# CIFAR-100 Webdataset (Test set only)\n\nOriginal paper: Learning Multiple Layers of Features from Tiny Images\n\nHomepage: URL\n\nBibtex:"
] |
196667de6472be9447f917288b05750024f2002b | # CLEVR Count All Webdataset (Test set only)
Original paper: [CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning](https://arxiv.org/pdf/1612.06890.pdf)
Homepage: https://cs.stanford.edu/people/jcjohns/clevr/
Bibtex:
```
@article{DBLP:journals/corr/JohnsonHMFZG16,
author = {Ju... | djghosh/wds_vtab-clevr_count_all_test | [
"arxiv:1612.06890",
"region:us"
] | 2022-11-30T21:41:46+00:00 | {} | 2022-12-12T20:40:49+00:00 | [
"1612.06890"
] | [] | TAGS
#arxiv-1612.06890 #region-us
| # CLEVR Count All Webdataset (Test set only)
Original paper: CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Homepage: URL
Bibtex:
| [
"# CLEVR Count All Webdataset (Test set only)\n\nOriginal paper: CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning\n\nHomepage: URL\n\nBibtex:"
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] |
960ed30e5ff2a205c80befe503984946fad59106 | # CLEVR Closest Object Distance Webdataset (Test set only)
Original paper: [CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning](https://arxiv.org/pdf/1612.06890.pdf)
Homepage: https://cs.stanford.edu/people/jcjohns/clevr/
Bibtex:
```
@article{DBLP:journals/corr/JohnsonHMFZG16,
a... | djghosh/wds_vtab-clevr_closest_object_distance_test | [
"arxiv:1612.06890",
"region:us"
] | 2022-11-30T21:42:58+00:00 | {} | 2022-12-12T20:40:20+00:00 | [
"1612.06890"
] | [] | TAGS
#arxiv-1612.06890 #region-us
| # CLEVR Closest Object Distance Webdataset (Test set only)
Original paper: CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Homepage: URL
Bibtex:
| [
"# CLEVR Closest Object Distance Webdataset (Test set only)\n\nOriginal paper: CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning\n\nHomepage: URL\n\nBibtex:"
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] | [
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] |
154bf10ce86beabe53eff464079fe9d6186f13ac | # Country-211 (Test set only)
Original paper: [Learning Transferable Visual Models From Natural Language Supervision](https://arxiv.org/abs/2103.00020)
Homepage: https://github.com/openai/CLIP/blob/main/data/country211.md
Derived from YFCC100M: https://multimediacommons.wordpress.com/yfcc100m-core-dataset/
Bibtex:
... | djghosh/wds_country211_test | [
"arxiv:2103.00020",
"region:us"
] | 2022-11-30T21:44:34+00:00 | {} | 2022-12-12T20:44:50+00:00 | [
"2103.00020"
] | [] | TAGS
#arxiv-2103.00020 #region-us
| # Country-211 (Test set only)
Original paper: Learning Transferable Visual Models From Natural Language Supervision
Homepage: URL
Derived from YFCC100M: URL
Bibtex:
| [
"# Country-211 (Test set only)\n\nOriginal paper: Learning Transferable Visual Models From Natural Language Supervision\n\nHomepage: URL\n\nDerived from YFCC100M: URL\n\nBibtex:"
] | [
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] |
276b0059cb0cc956aaf588225d5197c13924adb3 | # Describable Textures Dataset (Test set only)
Original paper: [Describing Textures in the Wild](http://www.robots.ox.ac.uk/~vgg/publications/2014/Cimpoi14/cimpoi14.pdf)
Homepage: https://www.robots.ox.ac.uk/~vgg/data/dtd/
Bibtex:
```
@InProceedings{cimpoi14describing,
Author = {M. Cimpoi and S. Maji and I... | djghosh/wds_vtab-dtd_test | [
"region:us"
] | 2022-11-30T21:46:14+00:00 | {} | 2022-12-12T20:46:48+00:00 | [] | [] | TAGS
#region-us
| # Describable Textures Dataset (Test set only)
Original paper: Describing Textures in the Wild
Homepage: URL
Bibtex:
| [
"# Describable Textures Dataset (Test set only)\n\nOriginal paper: Describing Textures in the Wild\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# Describable Textures Dataset (Test set only)\n\nOriginal paper: Describing Textures in the Wild\n\nHomepage: URL\n\nBibtex:"
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31
] | [
"passage: TAGS\n#region-us \n# Describable Textures Dataset (Test set only)\n\nOriginal paper: Describing Textures in the Wild\n\nHomepage: URL\n\nBibtex:"
] |
d96ddaa13dabad7da66e04c48141560f21cbf7b5 | # DMLab Frames (Test set only)
Original paper: [The Visual Task Adaptation Benchmark](https://arxiv.org/abs/1910.04867)
Homepage: https://github.com/google-research/task_adaptation
Bibtex:
```
@article{zhai2019visual,
title={The Visual Task Adaptation Benchmark},
author={Xiaohua Zhai and Joan Puigcer... | djghosh/wds_vtab-dmlab_test | [
"arxiv:1910.04867",
"region:us"
] | 2022-11-30T21:46:50+00:00 | {} | 2022-12-12T20:49:10+00:00 | [
"1910.04867"
] | [] | TAGS
#arxiv-1910.04867 #region-us
| # DMLab Frames (Test set only)
Original paper: The Visual Task Adaptation Benchmark
Homepage: URL
Bibtex:
| [
"# DMLab Frames (Test set only)\n\nOriginal paper: The Visual Task Adaptation Benchmark\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#arxiv-1910.04867 #region-us \n",
"# DMLab Frames (Test set only)\n\nOriginal paper: The Visual Task Adaptation Benchmark\n\nHomepage: URL\n\nBibtex:"
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15,
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"passage: TAGS\n#arxiv-1910.04867 #region-us \n# DMLab Frames (Test set only)\n\nOriginal paper: The Visual Task Adaptation Benchmark\n\nHomepage: URL\n\nBibtex:"
] |
4d54915cdf934af23a2d4f3b5f895a4fbb7402d3 | # dSprites Orientation (Test set only)
Original paper: [beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework](https://openreview.net/forum?id=Sy2fzU9gl)
Homepage: https://github.com/deepmind/dsprites-dataset
Bibtex:
```
@misc{dsprites17,
author = {Loic Matthey and Irina Higgins and D... | djghosh/wds_vtab-dsprites_label_orientation_test | [
"region:us"
] | 2022-11-30T21:47:55+00:00 | {} | 2022-12-12T20:51:57+00:00 | [] | [] | TAGS
#region-us
| # dSprites Orientation (Test set only)
Original paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
Homepage: URL
Bibtex:
| [
"# dSprites Orientation (Test set only)\n\nOriginal paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# dSprites Orientation (Test set only)\n\nOriginal paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework\n\nHomepage: URL\n\nBibtex:"
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"passage: TAGS\n#region-us \n# dSprites Orientation (Test set only)\n\nOriginal paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework\n\nHomepage: URL\n\nBibtex:"
] |
8ded762a7b18bc4b75985cb39cb5355cecf58d27 | # dSprites X Position (Test set only)
Original paper: [beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework](https://openreview.net/forum?id=Sy2fzU9gl)
Homepage: https://github.com/deepmind/dsprites-dataset
Bibtex:
```
@misc{dsprites17,
author = {Loic Matthey and Irina Higgins and De... | djghosh/wds_vtab-dsprites_label_x_position_test | [
"region:us"
] | 2022-11-30T21:48:20+00:00 | {} | 2022-12-12T20:52:19+00:00 | [] | [] | TAGS
#region-us
| # dSprites X Position (Test set only)
Original paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
Homepage: URL
Bibtex:
| [
"# dSprites X Position (Test set only)\n\nOriginal paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# dSprites X Position (Test set only)\n\nOriginal paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework\n\nHomepage: URL\n\nBibtex:"
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"passage: TAGS\n#region-us \n# dSprites X Position (Test set only)\n\nOriginal paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework\n\nHomepage: URL\n\nBibtex:"
] |
e1c187043efbc540f37db8b07af5d949920718fa | # dSprites Y Position (Test set only)
Original paper: [beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework](https://openreview.net/forum?id=Sy2fzU9gl)
Homepage: https://github.com/deepmind/dsprites-dataset
Bibtex:
```
@misc{dsprites17,
author = {Loic Matthey and Irina Higgins and De... | djghosh/wds_vtab-dsprites_label_y_position_test | [
"region:us"
] | 2022-11-30T21:48:45+00:00 | {} | 2022-12-12T20:52:35+00:00 | [] | [] | TAGS
#region-us
| # dSprites Y Position (Test set only)
Original paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
Homepage: URL
Bibtex:
| [
"# dSprites Y Position (Test set only)\n\nOriginal paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# dSprites Y Position (Test set only)\n\nOriginal paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework\n\nHomepage: URL\n\nBibtex:"
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"passage: TAGS\n#region-us \n# dSprites Y Position (Test set only)\n\nOriginal paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework\n\nHomepage: URL\n\nBibtex:"
] |
7d107212549825bf1fc46d322d0839e9cc8a3ff1 | # dSprites EuroSAT (Test set only)
Original paper: [EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification](https://arxiv.org/abs/1709.00029)
Homepage: https://github.com/phelber/EuroSAT
Bibtex:
```
@article{helber2019eurosat,
title={Eurosat: A novel dataset and deep learni... | djghosh/wds_vtab-eurosat_test | [
"arxiv:1709.00029",
"region:us"
] | 2022-11-30T21:49:11+00:00 | {} | 2022-12-12T20:54:32+00:00 | [
"1709.00029"
] | [] | TAGS
#arxiv-1709.00029 #region-us
| # dSprites EuroSAT (Test set only)
Original paper: EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
Homepage: URL
Bibtex:
| [
"# dSprites EuroSAT (Test set only)\n\nOriginal paper: EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#arxiv-1709.00029 #region-us \n",
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] | [
14,
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"passage: TAGS\n#arxiv-1709.00029 #region-us \n# dSprites EuroSAT (Test set only)\n\nOriginal paper: EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification\n\nHomepage: URL\n\nBibtex:"
] |
6b5e12a741d27b63718dd08365b866a9a8e5e7a5 | # FGVC-Aircraft (Test set only)
Original paper: [Fine-Grained Visual Classification of Aircraft](https://arxiv.org/abs/1306.5151)
Homepage: https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/
Bibtex:
```
@techreport{maji13fine-grained,
title = {Fine-Grained Visual Classification of Aircraft},
author ... | djghosh/wds_fgvc_aircraft_test | [
"arxiv:1306.5151",
"region:us"
] | 2022-11-30T21:49:32+00:00 | {} | 2022-12-12T20:57:36+00:00 | [
"1306.5151"
] | [] | TAGS
#arxiv-1306.5151 #region-us
| # FGVC-Aircraft (Test set only)
Original paper: Fine-Grained Visual Classification of Aircraft
Homepage: URL
Bibtex:
| [
"# FGVC-Aircraft (Test set only)\n\nOriginal paper: Fine-Grained Visual Classification of Aircraft\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#arxiv-1306.5151 #region-us \n",
"# FGVC-Aircraft (Test set only)\n\nOriginal paper: Fine-Grained Visual Classification of Aircraft\n\nHomepage: URL\n\nBibtex:"
] | [
14,
33
] | [
"passage: TAGS\n#arxiv-1306.5151 #region-us \n# FGVC-Aircraft (Test set only)\n\nOriginal paper: Fine-Grained Visual Classification of Aircraft\n\nHomepage: URL\n\nBibtex:"
] |
056ba0c1c51e384f0d64b54b4bd02bea6e3e3382 | # Food-101 (Test set only)
Original paper: [Food-101 – Mining Discriminative Components with Random Forests](https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/static/bossard_eccv14_food-101.pdf)
Homepage: https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/
Bibtex:
```
@inproceedings{bossard14,
tit... | djghosh/wds_food101_test | [
"region:us"
] | 2022-11-30T21:50:50+00:00 | {} | 2022-12-12T20:57:21+00:00 | [] | [] | TAGS
#region-us
| # Food-101 (Test set only)
Original paper: Food-101 – Mining Discriminative Components with Random Forests
Homepage: URL
Bibtex:
| [
"# Food-101 (Test set only)\n\nOriginal paper: Food-101 – Mining Discriminative Components with Random Forests\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# Food-101 (Test set only)\n\nOriginal paper: Food-101 – Mining Discriminative Components with Random Forests\n\nHomepage: URL\n\nBibtex:"
] | [
6,
36
] | [
"passage: TAGS\n#region-us \n# Food-101 (Test set only)\n\nOriginal paper: Food-101 – Mining Discriminative Components with Random Forests\n\nHomepage: URL\n\nBibtex:"
] |
7cc5c0dc48e76d0a8a76649234db09145582dc5a | # GTSRB (Test set only)
Original paper: [Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition](https://doi.org/10.1016/j.neunet.2012.02.016)
Homepage: https://benchmark.ini.rub.de/gtsrb_news.html
Bibtex:
```
@article{Stallkamp2012,
title = "Man vs. computer: Benchmarking machine le... | djghosh/wds_gtsrb_test | [
"region:us"
] | 2022-11-30T21:54:33+00:00 | {} | 2022-12-12T20:59:36+00:00 | [] | [] | TAGS
#region-us
| # GTSRB (Test set only)
Original paper: Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
Homepage: URL
Bibtex:
| [
"# GTSRB (Test set only)\n\nOriginal paper: Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# GTSRB (Test set only)\n\nOriginal paper: Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition\n\nHomepage: URL\n\nBibtex:"
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36
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"passage: TAGS\n#region-us \n# GTSRB (Test set only)\n\nOriginal paper: Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition\n\nHomepage: URL\n\nBibtex:"
] |
ab0b1cc7ac87b9688de640151800cc5c1f8a831d | # Dataset Card for "laion-2b-en-very-unsafe"
A version of laion5b dataset(en subset) with strictly `unsafe` images.
Dataset was filtered to retain only examples with `punsafe` present and > 0.9.
However, due to the way nsfw detector was train, there is a significant amount of false postives.
There is, likely, more fal... | Rexhaif/laion-2b-en-very-unsafe | [
"region:us"
] | 2022-11-30T22:04:39+00:00 | {"dataset_info": {"features": [{"name": "URL", "dtype": "string"}, {"name": "TEXT", "dtype": "string"}, {"name": "WIDTH", "dtype": "int32"}, {"name": "HEIGHT", "dtype": "int32"}, {"name": "similarity", "dtype": "float64"}, {"name": "hash", "dtype": "int64"}, {"name": "punsafe", "dtype": "float32"}, {"name": "pwatermark... | 2022-11-30T23:18:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "laion-2b-en-very-unsafe"
A version of laion5b dataset(en subset) with strictly 'unsafe' images.
Dataset was filtered to retain only examples with 'punsafe' present and > 0.9.
However, due to the way nsfw detector was train, there is a significant amount of false postives.
There is, likely, more fal... | [
"# Dataset Card for \"laion-2b-en-very-unsafe\"\n\nA version of laion5b dataset(en subset) with strictly 'unsafe' images.\nDataset was filtered to retain only examples with 'punsafe' present and > 0.9.\nHowever, due to the way nsfw detector was train, there is a significant amount of false postives.\nThere is, like... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"laion-2b-en-very-unsafe\"\n\nA version of laion5b dataset(en subset) with strictly 'unsafe' images.\nDataset was filtered to retain only examples with 'punsafe' present and > 0.9.\nHowever, due to the way nsfw detector was train, there is a significant amount of false ... | [
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103
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"passage: TAGS\n#region-us \n# Dataset Card for \"laion-2b-en-very-unsafe\"\n\nA version of laion5b dataset(en subset) with strictly 'unsafe' images.\nDataset was filtered to retain only examples with 'punsafe' present and > 0.9.\nHowever, due to the way nsfw detector was train, there is a significant amount of fal... |
1d7fbb7e1879b05f9db3ab0775ac68435b8ba385 | # ImageNet-Sketch (Test set only)
Original paper: [Learning Robust Global Representations by Penalizing Local Predictive Power](https://arxiv.org/abs/1905.13549)
Homepage: https://github.com/HaohanWang/ImageNet-Sketch
Bibtex:
```
@inproceedings{wang2019learning,
title={Learning Robust Global Representations ... | djghosh/wds_imagenet_sketch_test | [
"arxiv:1905.13549",
"region:us"
] | 2022-11-30T23:23:24+00:00 | {} | 2022-12-12T21:03:25+00:00 | [
"1905.13549"
] | [] | TAGS
#arxiv-1905.13549 #region-us
| # ImageNet-Sketch (Test set only)
Original paper: Learning Robust Global Representations by Penalizing Local Predictive Power
Homepage: URL
Bibtex:
| [
"# ImageNet-Sketch (Test set only)\n\nOriginal paper: Learning Robust Global Representations by Penalizing Local Predictive Power\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#arxiv-1905.13549 #region-us \n",
"# ImageNet-Sketch (Test set only)\n\nOriginal paper: Learning Robust Global Representations by Penalizing Local Predictive Power\n\nHomepage: URL\n\nBibtex:"
] | [
15,
36
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"passage: TAGS\n#arxiv-1905.13549 #region-us \n# ImageNet-Sketch (Test set only)\n\nOriginal paper: Learning Robust Global Representations by Penalizing Local Predictive Power\n\nHomepage: URL\n\nBibtex:"
] |
4d1d20ffc1718d1db6a1f47bdf5e4da57d671d81 | # Dataset Card for [best-selling-video-games]
## 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](... | arjunpatel/best-selling-video-games | [
"region:us"
] | 2022-11-30T23:25:57+00:00 | {} | 2022-12-02T23:46:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for [best-selling-video-games]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annota... | [
"# Dataset Card for [best-selling-video-games]",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - S... | [
"TAGS\n#region-us \n",
"# Dataset Card for [best-selling-video-games]",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - ... | [
6,
15,
125,
24,
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10,
4,
6,
6,
5,
5,
5,
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19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for [best-selling-video-games]## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Cur... |
622aa95311079dde7d64d541c411f7c8b796e6b5 | # ImageNetV2 Matched Frequency (Test set only)
Original paper: [Do ImageNet Classifiers Generalize to ImageNet?](https://arxiv.org/abs/1902.10811)
Homepage: https://github.com/modestyachts/ImageNetV2
Bibtex:
```
@article{DBLP:journals/corr/abs-1902-10811,
author = {Benjamin Recht and
Rebecca Roel... | djghosh/wds_imagenetv2_test | [
"arxiv:1902.10811",
"region:us"
] | 2022-11-30T23:26:19+00:00 | {} | 2022-12-12T21:06:43+00:00 | [
"1902.10811"
] | [] | TAGS
#arxiv-1902.10811 #region-us
| # ImageNetV2 Matched Frequency (Test set only)
Original paper: Do ImageNet Classifiers Generalize to ImageNet?
Homepage: URL
Bibtex:
| [
"# ImageNetV2 Matched Frequency (Test set only)\n\nOriginal paper: Do ImageNet Classifiers Generalize to ImageNet?\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#arxiv-1902.10811 #region-us \n",
"# ImageNetV2 Matched Frequency (Test set only)\n\nOriginal paper: Do ImageNet Classifiers Generalize to ImageNet?\n\nHomepage: URL\n\nBibtex:"
] | [
14,
37
] | [
"passage: TAGS\n#arxiv-1902.10811 #region-us \n# ImageNetV2 Matched Frequency (Test set only)\n\nOriginal paper: Do ImageNet Classifiers Generalize to ImageNet?\n\nHomepage: URL\n\nBibtex:"
] |
370e992788929ebec1a633652d4fb4330b4a621a | # ImageNet-A (Test set only)
Original paper: [Natural Adversarial Examples](https://arxiv.org/abs/1907.07174)
Homepage: https://github.com/hendrycks/natural-adv-examples
Bibtex:
```
@article{hendrycks2021nae,
title={Natural Adversarial Examples},
author={Dan Hendrycks and Kevin Zhao and Steven Basart and Jacob S... | djghosh/wds_imagenet-a_test | [
"arxiv:1907.07174",
"region:us"
] | 2022-11-30T23:27:38+00:00 | {} | 2022-12-12T21:08:01+00:00 | [
"1907.07174"
] | [] | TAGS
#arxiv-1907.07174 #region-us
| # ImageNet-A (Test set only)
Original paper: Natural Adversarial Examples
Homepage: URL
Bibtex:
| [
"# ImageNet-A (Test set only)\n\nOriginal paper: Natural Adversarial Examples\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#arxiv-1907.07174 #region-us \n",
"# ImageNet-A (Test set only)\n\nOriginal paper: Natural Adversarial Examples\n\nHomepage: URL\n\nBibtex:"
] | [
14,
26
] | [
"passage: TAGS\n#arxiv-1907.07174 #region-us \n# ImageNet-A (Test set only)\n\nOriginal paper: Natural Adversarial Examples\n\nHomepage: URL\n\nBibtex:"
] |
48413c5561bdd0b4a0df490d46cf8dabee7f6db3 | # ImageNet-O (Test set only)
Original paper: [Natural Adversarial Examples](https://arxiv.org/abs/1907.07174)
Homepage: https://github.com/hendrycks/natural-adv-examples
Bibtex:
```
@article{hendrycks2021nae,
title={Natural Adversarial Examples},
author={Dan Hendrycks and Kevin Zhao and Steven Basart and Jacob S... | djghosh/wds_imagenet-o_test | [
"arxiv:1907.07174",
"region:us"
] | 2022-11-30T23:30:09+00:00 | {} | 2022-12-12T21:08:16+00:00 | [
"1907.07174"
] | [] | TAGS
#arxiv-1907.07174 #region-us
| # ImageNet-O (Test set only)
Original paper: Natural Adversarial Examples
Homepage: URL
Bibtex:
| [
"# ImageNet-O (Test set only)\n\nOriginal paper: Natural Adversarial Examples\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#arxiv-1907.07174 #region-us \n",
"# ImageNet-O (Test set only)\n\nOriginal paper: Natural Adversarial Examples\n\nHomepage: URL\n\nBibtex:"
] | [
14,
26
] | [
"passage: TAGS\n#arxiv-1907.07174 #region-us \n# ImageNet-O (Test set only)\n\nOriginal paper: Natural Adversarial Examples\n\nHomepage: URL\n\nBibtex:"
] |
582a158b4ff1de74de428fc34df09e8cf76fe484 | # ImageNet-R (Test set only)
Original paper: [The Many Faces of Robustness](https://arxiv.org/abs/2006.16241)
Homepage: https://github.com/hendrycks/imagenet-r
Bibtex:
```
@article{hendrycks2021many,
title={The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization},
author={Dan Hend... | djghosh/wds_imagenet-r_test | [
"arxiv:2006.16241",
"region:us"
] | 2022-11-30T23:30:37+00:00 | {} | 2022-12-12T21:09:12+00:00 | [
"2006.16241"
] | [] | TAGS
#arxiv-2006.16241 #region-us
| # ImageNet-R (Test set only)
Original paper: The Many Faces of Robustness
Homepage: URL
Bibtex:
| [
"# ImageNet-R (Test set only)\n\nOriginal paper: The Many Faces of Robustness\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#arxiv-2006.16241 #region-us \n",
"# ImageNet-R (Test set only)\n\nOriginal paper: The Many Faces of Robustness\n\nHomepage: URL\n\nBibtex:"
] | [
14,
28
] | [
"passage: TAGS\n#arxiv-2006.16241 #region-us \n# ImageNet-R (Test set only)\n\nOriginal paper: The Many Faces of Robustness\n\nHomepage: URL\n\nBibtex:"
] |
b7565ccd1eabd787806222a9c75e8a9f56c6e835 | # KITTI Closest Vehicle Distance (Test set only)
Original paper: [Vision meets Robotics: The KITTI Dataset](https://www.cvlibs.net/publications/Geiger2013IJRR.pdf)
Homepage: https://www.cvlibs.net/datasets/kitti/
Bibtex:
```
@ARTICLE{Geiger2013IJRR,
author = {Andreas Geiger and Philip Lenz and Christoph Stiller an... | djghosh/wds_vtab-kitti_closest_vehicle_distance_test | [
"region:us"
] | 2022-11-30T23:32:50+00:00 | {} | 2022-12-12T21:11:59+00:00 | [] | [] | TAGS
#region-us
| # KITTI Closest Vehicle Distance (Test set only)
Original paper: Vision meets Robotics: The KITTI Dataset
Homepage: URL
Bibtex:
| [
"# KITTI Closest Vehicle Distance (Test set only)\n\nOriginal paper: Vision meets Robotics: The KITTI Dataset\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# KITTI Closest Vehicle Distance (Test set only)\n\nOriginal paper: Vision meets Robotics: The KITTI Dataset\n\nHomepage: URL\n\nBibtex:"
] | [
6,
34
] | [
"passage: TAGS\n#region-us \n# KITTI Closest Vehicle Distance (Test set only)\n\nOriginal paper: Vision meets Robotics: The KITTI Dataset\n\nHomepage: URL\n\nBibtex:"
] |
668da094a3e9a48be4bca62f14a569a8386ee6cb | # MNIST (Test set only)
Original paper: [Gradient-based learning applied to document recognition](https://ieeexplore.ieee.org/document/726791)
Homepage (broken link): http://yann.lecun.com/exdb/mnist
Bibtex:
```
@ARTICLE{726791,
author={Lecun, Y. and Bottou, L. and Bengio, Y. and Haffner, P.},
journal={Proce... | djghosh/wds_mnist_test | [
"region:us"
] | 2022-11-30T23:34:14+00:00 | {} | 2022-12-12T22:24:17+00:00 | [] | [] | TAGS
#region-us
| # MNIST (Test set only)
Original paper: Gradient-based learning applied to document recognition
Homepage (broken link): URL
Bibtex:
| [
"# MNIST (Test set only)\n\nOriginal paper: Gradient-based learning applied to document recognition\n\nHomepage (broken link): URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# MNIST (Test set only)\n\nOriginal paper: Gradient-based learning applied to document recognition\n\nHomepage (broken link): URL\n\nBibtex:"
] | [
6,
32
] | [
"passage: TAGS\n#region-us \n# MNIST (Test set only)\n\nOriginal paper: Gradient-based learning applied to document recognition\n\nHomepage (broken link): URL\n\nBibtex:"
] |
e433f2df2999e77401a627de654bddbeadf6f8e9 | # Oxford Flowers-102 (Test set only)
Original paper: [Automated flower classification over a large number of classes](https://www.robots.ox.ac.uk/~vgg/publications/2008/Nilsback08/nilsback08.pdf)
Homepage: https://www.robots.ox.ac.uk/~vgg/data/flowers/102/
Bibtex:
```
@InProceedings{Nilsback08,
author = "Mar... | djghosh/wds_vtab-flowers_test | [
"region:us"
] | 2022-11-30T23:34:43+00:00 | {} | 2022-12-12T21:20:43+00:00 | [] | [] | TAGS
#region-us
| # Oxford Flowers-102 (Test set only)
Original paper: Automated flower classification over a large number of classes
Homepage: URL
Bibtex:
| [
"# Oxford Flowers-102 (Test set only)\n\nOriginal paper: Automated flower classification over a large number of classes\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# Oxford Flowers-102 (Test set only)\n\nOriginal paper: Automated flower classification over a large number of classes\n\nHomepage: URL\n\nBibtex:"
] | [
6,
33
] | [
"passage: TAGS\n#region-us \n# Oxford Flowers-102 (Test set only)\n\nOriginal paper: Automated flower classification over a large number of classes\n\nHomepage: URL\n\nBibtex:"
] |
8e094aae70d884c4ccbc9fffe51d1903d897e83d | # Oxford-IIIT Pets (Test set only)
Original paper: [Cats and Dogs](https://www.robots.ox.ac.uk/~vgg/publications/2012/parkhi12a/parkhi12a.pdf)
Homepage: https://www.robots.ox.ac.uk/~vgg/data/pets/
Bibtex:
```
@InProceedings{parkhi12a,
author = "Omkar M. Parkhi and Andrea Vedaldi and Andrew Zisserman and C. V... | djghosh/wds_vtab-pets_test | [
"region:us"
] | 2022-11-30T23:36:13+00:00 | {} | 2022-12-12T21:22:46+00:00 | [] | [] | TAGS
#region-us
| # Oxford-IIIT Pets (Test set only)
Original paper: Cats and Dogs
Homepage: URL
Bibtex:
| [
"# Oxford-IIIT Pets (Test set only)\n\nOriginal paper: Cats and Dogs\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# Oxford-IIIT Pets (Test set only)\n\nOriginal paper: Cats and Dogs\n\nHomepage: URL\n\nBibtex:"
] | [
6,
27
] | [
"passage: TAGS\n#region-us \n# Oxford-IIIT Pets (Test set only)\n\nOriginal paper: Cats and Dogs\n\nHomepage: URL\n\nBibtex:"
] |
c19b3db699f7fab639d70250f74bb70b5002141e | # Pascal VOC2007 (Test set only)
Original paper: [The PASCAL Visual Object Classes Challenge: A Retrospective](http://host.robots.ox.ac.uk/pascal/VOC/pubs/everingham15.pdf)
Homepage: http://host.robots.ox.ac.uk/pascal/VOC/voc2007/
Bibtex:
```
@misc{pascal-voc-2007,
author = "Everingham, M. and Van~Gool, L. and Will... | djghosh/wds_voc2007_test | [
"region:us"
] | 2022-11-30T23:38:38+00:00 | {} | 2022-12-12T21:25:32+00:00 | [] | [] | TAGS
#region-us
| # Pascal VOC2007 (Test set only)
Original paper: The PASCAL Visual Object Classes Challenge: A Retrospective
Homepage: URL
Bibtex:
| [
"# Pascal VOC2007 (Test set only)\n\nOriginal paper: The PASCAL Visual Object Classes Challenge: A Retrospective\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
"# Pascal VOC2007 (Test set only)\n\nOriginal paper: The PASCAL Visual Object Classes Challenge: A Retrospective\n\nHomepage: URL\n\nBibtex:"
] | [
6,
32
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"passage: TAGS\n#region-us \n# Pascal VOC2007 (Test set only)\n\nOriginal paper: The PASCAL Visual Object Classes Challenge: A Retrospective\n\nHomepage: URL\n\nBibtex:"
] |
b1bcefc6b04ded211ca4201cb849156d9a98ef1e | # PatchCamelyon (Test set only)
Original paper: [Rotation Equivariant CNNs for Digital Pathology](http://arxiv.org/abs/1806.03962)
Homepage: https://github.com/basveeling/pcam
Bibtex:
```
@ARTICLE{Veeling2018-qh,
title = "Rotation Equivariant {CNNs} for Digital Pathology",
author = "Veeling, Basti... | djghosh/wds_vtab-pcam_test | [
"arxiv:1806.03962",
"region:us"
] | 2022-11-30T23:39:37+00:00 | {} | 2022-12-12T21:26:52+00:00 | [
"1806.03962"
] | [] | TAGS
#arxiv-1806.03962 #region-us
| # PatchCamelyon (Test set only)
Original paper: Rotation Equivariant CNNs for Digital Pathology
Homepage: URL
Bibtex:
| [
"# PatchCamelyon (Test set only)\n\nOriginal paper: Rotation Equivariant CNNs for Digital Pathology\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#arxiv-1806.03962 #region-us \n",
"# PatchCamelyon (Test set only)\n\nOriginal paper: Rotation Equivariant CNNs for Digital Pathology\n\nHomepage: URL\n\nBibtex:"
] | [
15,
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"passage: TAGS\n#arxiv-1806.03962 #region-us \n# PatchCamelyon (Test set only)\n\nOriginal paper: Rotation Equivariant CNNs for Digital Pathology\n\nHomepage: URL\n\nBibtex:"
] |
1c85f91db604f5f4919cd16603c5898b2e088bf8 |
Work developed as part of [Project IRIS](https://www.inesc-id.pt/projects/PR07005/).
Thesis: [A S... | stjiris/IRIS_sts | [
"task_categories:text-classification",
"task_ids:text-scoring",
"task_ids:semantic-similarity-scoring",
"annotations_creators:automated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K>n",
"source_datasets:original",
"language:pt",
"license:mit",
"region:us"
] | 2022-11-30T23:51:04+00:00 | {"annotations_creators": ["automated"], "language_creators": ["found"], "language": ["pt"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K>n"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["text-scoring", "semantic-similarity-scoring"], "pre... | 2023-01-08T02:54:33+00:00 | [] | [
"pt"
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|
!INESC-ID
!A Semantic Search System for Supremo Tribunal de Justiça
Work developed as part of Project IRIS.
Thesis: A Semantic Search System for Supremo Tribunal de Justiça
# Portuguese Legal Sentences
Collection of Legal Sentences pairs from the Portuguese Supreme Court of Justice
The goal of this dataset was to ... | [
"# Portuguese Legal Sentences\nCollection of Legal Sentences pairs from the Portuguese Supreme Court of Justice\nThe goal of this dataset was to be used for Semantic Textual Similarity\n\n- Values from 0-1: random sentences across documents\n- Values from 2-4: sentences from the same summary (implying some level of... | [
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cf370843eae0cac330f1ed47534c1f29a74da542 |
# laion-translated-to-en-korean-subset
## Dataset Description
- **Homepage:** [laion-5b](https://laion.ai/blog/laion-5b/)
- **Download Size** 1.40 GiB
- **Generated Size** 3.49 GiB
- **Total Size** 4.89 GiB
## About dataset
a subset data of [laion/laion2B-multi-joined-translated-to-en](https://huggingface.co/dataset... | Bingsu/laion-translated-to-en-korean-subset | [
"task_categories:feature-extraction",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:10M<n<100M",
"language:ko",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-12-01T01:58:31+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ko", "en"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10M<n<100M"], "task_categories": ["feature-extraction"], "pretty_name": "laion-translated-to-en-korean-subset"} | 2023-02-01T01:15:43+00:00 | [] | [
"ko",
"en"
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#task_categories-feature-extraction #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #size_categories-10M<n<100M #language-Korean #language-English #license-cc-by-4.0 #region-us
| laion-translated-to-en-korean-subset
====================================
Dataset Description
-------------------
* Homepage: laion-5b
* Download Size 1.40 GiB
* Generated Size 3.49 GiB
* Total Size 4.89 GiB
About dataset
-------------
a subset data of laion/laion2B-multi-joined-translated-to-en and laion/laion... | [
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"### Data Field\n\n\n* 'hash': 'int'\n* 'URL': 'string'\n* 'TEXT': 'string'\n* 'ENG TEXT': 'string', null data are dropped\n* 'WIDTH': '... | [
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d201c488dc7024623d1ecbcc987b3f132c4c2e12 | # The Hateful Memes Challenge README
The Hateful Memes Challenge is a dataset and benchmark created by Facebook AI to drive and measure progress on multimodal reasoning and understanding. The task focuses on detecting hate speech in multimodal memes.
Please see the paper for further details:
[The Hateful Memes Chall... | neuralcatcher/hateful_memes | [
"arxiv:2005.04790",
"region:us"
] | 2022-12-01T03:49:06+00:00 | {} | 2022-12-01T07:08:59+00:00 | [
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#arxiv-2005.04790 #region-us
| # The Hateful Memes Challenge README
The Hateful Memes Challenge is a dataset and benchmark created by Facebook AI to drive and measure progress on multimodal reasoning and understanding. The task focuses on detecting hate speech in multimodal memes.
Please see the paper for further details:
The Hateful Memes Challe... | [
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2c82a8a0d42f58c4e146198f172126ab093a4c7e | # Dataset Card for "whisper-transcripts-mlst"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Whispering-GPT/whisper-transcripts-ml-street-talk | [
"task_categories:automatic-speech-recognition",
"whisper",
"whispering",
"medium",
"region:us"
] | 2022-12-01T05:24:10+00:00 | {"task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "CHANNEL_NAME", "dtype": "string"}, {"name": "URL", "dtype": "string"}, {"name": "TITLE", "dtype": "string"}, {"name": "DESCRIPTION", "dtype": "string"}, {"name": "TRANSCRIPTION", "dtype": "string"}, {"name": "SEGMENTS", "dtype... | 2022-12-02T07:19:28+00:00 | [] | [] | TAGS
#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us
| # Dataset Card for "whisper-transcripts-mlst"
More Information needed | [
"# Dataset Card for \"whisper-transcripts-mlst\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us \n",
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d21e7540cb904cf9143b5433c064cefe63e223a0 |
# spanish-tweets-small
## A smaller version of spanish-tweets
## A corpus of tweets for pretraining embeddings and language models
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboard... | pysentimiento/spanish-tweets-small | [
"region:us"
] | 2022-12-01T11:52:09+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tweet_id", "dtype": "string"}, {"name": "user_id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 82649695458, "num_examples": 597433111}, {"name": "test", "num_bytes": 892219251, "num_examples": 6224733}], "download_size": 51... | 2022-12-01T13:50:26+00:00 | [] | [] | TAGS
#region-us
|
# spanish-tweets-small
## A smaller version of spanish-tweets
## A corpus of tweets for pretraining embeddings and language models
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Creation
- Curation Rationale
- Sourc... | [
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4323d2431f4471758222493595e0de72041e114b | # Dataset Card for "turkishKuran"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | erkanxyzalaca/turkishKuran | [
"region:us"
] | 2022-12-01T13:45:28+00:00 | {"dataset_info": {"features": [{"name": "Ayet", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 255726.9, "num_examples": 738}, {"name": "validation", "num_bytes": 28414.1, "num_examples": 82}], "download_size": 0, "dataset_size": 284141.0}} | 2022-12-02T14:01:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "turkishKuran"
More Information needed | [
"# Dataset Card for \"turkishKuran\"\n\nMore Information needed"
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d7ca8ddb4327dfa6994e2b44ae6c89b4ea82053e | # Dataset Card for "my_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Mizurodp/my_dataset | [
"region:us"
] | 2022-12-01T16:09:51+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11800901344.896, "num_examples": 219008}, {"name": "test", "num_bytes": 473579114.0, "num_examples": 9230}], "download_size": 10947568917, "dataset_size": 12274480... | 2022-12-02T08:30:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "my_dataset"
More Information needed | [
"# Dataset Card for \"my_dataset\"\n\nMore Information needed"
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192c83c7f843e7eba0c522a11cad137e6da5ab26 | # Dataset Card for "gov_report"
## GOV_REPORT
A dataset "consisting of about 19.5k U.S. government reports with expert-written ab- stractive summaries.3 GOVREPORT has two impor- tant features: (1) It contains significantly longer documents (9.4k words) and summaries (553 words) than existing datasets, such as PubMed a... | kmfoda/gov_report | [
"arxiv:2105.08209",
"region:us"
] | 2022-12-01T16:18:16+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "target", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 55710125, "num_examples": 972}, {"name": "train", "num_bytes": 976584268, "num_examples": 17519}, {"name": "validation", "num_bytes": 57315603, "num_examples": 973}], "d... | 2022-12-01T16:52:30+00:00 | [
"2105.08209"
] | [] | TAGS
#arxiv-2105.08209 #region-us
| # Dataset Card for "gov_report"
## GOV_REPORT
A dataset "consisting of about 19.5k U.S. government reports with expert-written ab- stractive summaries.3 GOVREPORT has two impor- tant features: (1) It contains significantly longer documents (9.4k words) and summaries (553 words) than existing datasets, such as PubMed a... | [
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fea8970db0ee25164db34bfce0ff661e5c5ae2d1 | # Indonesian Dataset Apache Access | EgilKarlsen/ApacheAccessLabeled | [
"region:us"
] | 2022-12-01T16:21:21+00:00 | {} | 2022-12-01T16:22:08+00:00 | [] | [] | TAGS
#region-us
| # Indonesian Dataset Apache Access | [
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d42ae7545e6c548a566abed310cf61f85fe895ad |
# NLU Evaluation Data - English and German
A labeled English **and German** language multi-domain dataset (21 domains) with 25K user utterances for human-robot interaction.
This dataset is collected and annotated for evaluating NLU services and platforms.
The detailed paper on this dataset can be found at arXiv.org:
... | deutsche-telekom/NLU-Evaluation-Data-en-de | [
"task_categories:text-classification",
"task_ids:intent-classification",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:extended|nlu_evaluation_data",
"language:en",
"language:de",
"license:cc-by-4.0",
"arxiv:1903.05566",
"region:us"
] | 2022-12-01T16:54:19+00:00 | {"language": ["en", "de"], "license": "cc-by-4.0", "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|nlu_evaluation_data"], "task_categories": ["text-classification"], "task_ids": ["intent-classification"]} | 2023-12-17T17:42:48+00:00 | [
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|
# NLU Evaluation Data - English and German
A labeled English and German language multi-domain dataset (21 domains) with 25K user utterances for human-robot interaction.
This dataset is collected and annotated for evaluating NLU services and platforms.
The detailed paper on this dataset can be found at URL:
Benchmarki... | [
"# NLU Evaluation Data - English and German\nA labeled English and German language multi-domain dataset (21 domains) with 25K user utterances for human-robot interaction.\n\nThis dataset is collected and annotated for evaluating NLU services and platforms.\nThe detailed paper on this dataset can be found at URL:\nB... | [
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15b0ca33d20ba15984ee7617eda35019051f8949 | ## This is Arabic news data with 9 categories in csv format
original data link: https://www.kaggle.com/datasets/muhammedfathi/arabic-news-texts-corpus
Data preparation and summary link: https://www.kaggle.com/code/abdalrahmanshahrour/arabic-text-summarization | abdalrahmanshahrour/ArabicTextSummarization | [
"region:us"
] | 2022-12-01T17:14:40+00:00 | {} | 2022-12-01T17:16:50+00:00 | [] | [] | TAGS
#region-us
| ## This is Arabic news data with 9 categories in csv format
original data link: URL
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bafa0c15e8d5780859c0e0e56eee1e919ced0115 | # AutoTrain Dataset for project: shahroursummarizer
## Dataset Description
This dataset has been automatically processed by AutoTrain for project shahroursummarizer.
### Languages
The BCP-47 code for the dataset's language is ar.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows... | abdalrahmanshahrour/shahroursummarizerdataset | [
"language:ar",
"region:us"
] | 2022-12-01T17:19:19+00:00 | {"language": ["ar"], "task_categories": ["conditional-text-generation"]} | 2022-12-01T18:22:47+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #region-us
| AutoTrain Dataset for project: shahroursummarizer
=================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project shahroursummarizer.
### Languages
The BCP-47 code for the dataset's language is ar.
Dataset Structu... | [
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e39ea9713ca47689c8bdd635b94c2d26ea8390f7 |
The xfund dataset with annotations at the word level.
The original XFUND dataset
see more detail at [this](https://github.com/doc-analysis/XFUND)
#### Citation Information
``` latex
@inproceedings{xu-etal-2022-xfund,
title = "{XFUND}: A Benchmark Dataset for Multilingual Visually Rich Form Understanding",
... | cooleel/xfund_de | [
"license:mit",
"region:us"
] | 2022-12-01T19:42:05+00:00 | {"license": "mit"} | 2022-12-02T03:12:40+00:00 | [] | [] | TAGS
#license-mit #region-us
|
The xfund dataset with annotations at the word level.
The original XFUND dataset
see more detail at this
| [] | [
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7509909b272be4338642a3162ae09f4c4d259262 | # CIFAR-10 Webdataset (Test set only)
Original paper: [Learning Multiple Layers of Features from Tiny Images](https://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf)
Homepage: https://www.cs.toronto.edu/~kriz/cifar.html
Bibtex:
```
@TECHREPORT{Krizhevsky09learningmultiple,
author = {Alex Krizhevsky},
... | djghosh/wds_cifar10_test | [
"region:us"
] | 2022-12-01T19:47:51+00:00 | {} | 2023-01-24T00:39:41+00:00 | [] | [] | TAGS
#region-us
| # CIFAR-10 Webdataset (Test set only)
Original paper: Learning Multiple Layers of Features from Tiny Images
Homepage: URL
Bibtex:
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180eb530bf9bc2808c605557971f62db03715b3e | license: MIT
---
---
Updated embedding for SDV 2.1 - ddedv2.pt
This is a Day of the dead embedding for SD2
Use dded to initiate the embedding built on 2.0 </br>
Use ddedv2.pt to initiate embedding built on 2.1
(High quality Professional Photo:1.3) of (Realistic:1) assassin creed character, style dded,HD,4K,8K,high... | Rocinante2000/Day-of-the-Dead | [
"region:us"
] | 2022-12-01T19:53:02+00:00 | {} | 2022-12-09T11:30:56+00:00 | [] | [] | TAGS
#region-us
| license: MIT
---
---
Updated embedding for SDV 2.1 - URL
This is a Day of the dead embedding for SD2
Use dded to initiate the embedding built on 2.0 </br>
Use URL to initiate embedding built on 2.1
(High quality Professional Photo:1.3) of (Realistic:1) assassin creed character, style dded,HD,4K,8K,highly detailed,... | [] | [
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dc347c6e19e40550545475507ca8638d584f4c9c | # lex_fridman_podcast
## Data
This dataset provides transcribed Lex Fridman Podcast episodes that were shared on [Andrej Karpathy's site](https://karpathy.ai/lexicap).
Last update was on 01.12.2022.
## Goal
The goal of this dataset is to use it in [niph - needle in podcast haystack](https://github.com/lambdaofgod... | lambdaofgod/lex_fridman_podcast | [
"region:us"
] | 2022-12-01T20:11:41+00:00 | {} | 2022-12-01T20:22:12+00:00 | [] | [] | TAGS
#region-us
| # lex_fridman_podcast
## Data
This dataset provides transcribed Lex Fridman Podcast episodes that were shared on Andrej Karpathy's site.
Last update was on 01.12.2022.
## Goal
The goal of this dataset is to use it in niph - needle in podcast haystack library to make searching it easier.
There exist other similar... | [
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ed47abbab3085f0e4e90b799326fd2932b96f0bd |
# Individuality Of Handwriting (CEDAR)
https://pubmed.ncbi.nlm.nih.gov/12136998/ \
https://cedar.buffalo.edu/NIJ/projectinfo.html
## Abstract
Motivated by several rulings in United States courts concerning expert testimony in general, and handwriting testimony in particular, we undertook a study to objectively vali... | 1aurent/individuality-of-handwriting | [
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"license:unknown",
"legal",
"signatures",
"CEDAR",
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] | 2022-12-01T20:42:04+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "task_categories": ["image-classification"], "pretty_name": "Individuality Of Handwriting (CEDAR)", "dataset_info": {"feature... | 2023-10-01T14:15:30+00:00 | [] | [
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|
# Individuality Of Handwriting (CEDAR)
URL \
URL
## Abstract
Motivated by several rulings in United States courts concerning expert testimony in general, and handwriting testimony in particular, we undertook a study to objectively validate the hypothesis that handwriting is individual. Handwriting samples of 1,500 ... | [
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0ab77186d4608c21d9b0f8a6b9df199cb93231fa |
# ICDAR 2011 Signature Verification Competition (SigComp2011)
http://iapr-tc11.org/mediawiki/index.php/ICDAR_2011_Signature_Verification_Competition_(SigComp2011)
The collection contains simultaneously acquired online and offline samples.
The collection contains offline and online signature samples. The offline data... | 1aurent/ICDAR-2011 | [
"size_categories:1K<n<10K",
"license:unknown",
"online handwriting",
"offline handwriting",
"signature",
"verification",
"region:us"
] | 2022-12-01T21:08:23+00:00 | {"license": "unknown", "size_categories": ["1K<n<10K"], "tags": ["online handwriting", "offline handwriting", "signature", "verification"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name"... | 2023-09-23T17:58:09+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-unknown #online handwriting #offline handwriting #signature #verification #region-us
|
# ICDAR 2011 Signature Verification Competition (SigComp2011)
URL
The collection contains simultaneously acquired online and offline samples.
The collection contains offline and online signature samples. The offline dataset comprises PNG images, scanned at 400 dpi, RGB color. The online dataset comprises ascii files... | [
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4c1878fda32583a1f585c32d06f18c4157b1c157 | Dataset of 10000 [Bored Ape](https://opensea.io/collection/boredapeyachtclub) images. | daspartho/bored-ape | [
"region:us"
] | 2022-12-01T22:04:13+00:00 | {} | 2022-12-03T17:47:13+00:00 | [] | [] | TAGS
#region-us
| Dataset of 10000 Bored Ape images. | [] | [
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6
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5f571837da18cb1fc390072ad57d6fb89e7b1f71 | # Stanford Cars (Test set only)
Original paper: [3D Object Representations for Fine-Grained Categorization](http://ai.stanford.edu/~jkrause/papers/3drr13.pdf)
Homepage: http://ai.stanford.edu/~jkrause/cars/car_dataset.html
Bibtex:
```
@inproceedings{KrauseStarkDengFei-Fei_3DRR2013,
title = {3D Object Representatio... | djghosh/wds_cars_test | [
"region:us"
] | 2022-12-01T22:05:28+00:00 | {} | 2022-12-12T22:13:41+00:00 | [] | [] | TAGS
#region-us
| # Stanford Cars (Test set only)
Original paper: 3D Object Representations for Fine-Grained Categorization
Homepage: URL
Bibtex:
| [
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e26a882e4cedabc7bed82e2e24525dd7e328c14b | # Rendered SST2 (Test set only)
Original paper: [The Visual Task Adaptation Benchmark](https://arxiv.org/abs/1910.04867)
Homepage: https://github.com/openai/CLIP/blob/main/data/rendered-sst2.md
Derived from SST2: https://nlp.stanford.edu/sentiment/treebank.html
Bibtex:
```
@article{zhai2019visual,
title={Th... | djghosh/wds_renderedsst2_test | [
"arxiv:1910.04867",
"region:us"
] | 2022-12-01T22:06:34+00:00 | {} | 2022-12-12T22:07:24+00:00 | [
"1910.04867"
] | [] | TAGS
#arxiv-1910.04867 #region-us
| # Rendered SST2 (Test set only)
Original paper: The Visual Task Adaptation Benchmark
Homepage: URL
Derived from SST2: URL
Bibtex:
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] |
9df2c4de5740764de4b1efce408da3291803b38e | # STL-10 (Test set only)
Original paper: [An Analysis of Single Layer Networks in Unsupervised Feature Learning](http://cs.stanford.edu/~acoates/papers/coatesleeng_aistats_2011.pdf)
Homepage: https://cs.stanford.edu/~acoates/stl10/
Bibtex:
```
@InProceedings{pmlr-v15-coates11a,
title = {An Analysis of Single-Lay... | djghosh/wds_stl10_test | [
"region:us"
] | 2022-12-01T22:07:23+00:00 | {} | 2022-12-12T22:16:13+00:00 | [] | [] | TAGS
#region-us
| # STL-10 (Test set only)
Original paper: An Analysis of Single Layer Networks in Unsupervised Feature Learning
Homepage: URL
Bibtex:
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