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f0bcb0f64866553125cf79c87621268a6535febd | # AutoTrain Dataset for project: climate-text-classification
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project climate-text-classification.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this datase... | prathap-reddy/autotrain-data-climate-text-classification | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-09-12T04:57:07+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-09-12T05:07:52+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: climate-text-classification
==========================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project climate-text-classification.
### Languages
The BCP-47 code for the dataset's langua... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
"TAGS\n#task_categories-text-classification #language-English #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
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b9860f54ee2427fb647f8950fb02018a485f0c94 | This dataset is not an official one, therefore should not be used without care! | Pakulski/ELI5-test | [
"region:us"
] | 2022-09-12T11:34:06+00:00 | {} | 2022-09-24T13:34:52+00:00 | [] | [] | TAGS
#region-us
| This dataset is not an official one, therefore should not be used without care! | [] | [
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53b699798eb1ca8aa69f1fdcc8e9d8416ab00d86 |
# Datastet card for Encyclopaedia Britannica Illustrated
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#su... | biglam/encyclopaedia_britannica_illustrated | [
"task_categories:image-classification",
"annotations_creators:expert-generated",
"size_categories:1K<n<10K",
"license:cc0-1.0",
"region:us"
] | 2022-09-12T16:40:02+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": [], "language": [], "license": ["cc0-1.0"], "multilinguality": [], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["image-classification"], "task_ids": [], "pretty_name": "Encyclopaedia Britannica Illustrated", "tags": []} | 2023-02-22T18:40:02+00:00 | [] | [] | TAGS
#task_categories-image-classification #annotations_creators-expert-generated #size_categories-1K<n<10K #license-cc0-1.0 #region-us
|
# Datastet card for Encyclopaedia Britannica Illustrated
## Table of Contents
- Dataset Card Creation Guide
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Data... | [
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06928317703bcfa6099c7fc0f13e11bb295e7769 |
# LAION-Aesthetics :: CLIP β UMAP
This dataset is a CLIP (text) β UMAP embedding of the [LAION-Aesthetics dataset](https://laion.ai/blog/laion-aesthetics/) - specifically the [`improved_aesthetics_6plus` version](https://huggingface.co/datasets/ChristophSchuhmann/improved_aesthetics_6plus), which filters the full dat... | dclure/laion-aesthetics-12m-umap | [
"language_creators:found",
"multilinguality:monolingual",
"language:en",
"license:mit",
"laion",
"stable-diffuson",
"text2img",
"region:us"
] | 2022-09-12T19:18:45+00:00 | {"annotations_creators": [], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": [], "task_categories": [], "task_ids": [], "pretty_name": "laion-aesthetics-12m-umap", "tags": ["laion", "stable-diffuson", "text2img"]} | 2022-09-12T20:45:15+00:00 | [] | [
"en"
] | TAGS
#language_creators-found #multilinguality-monolingual #language-English #license-mit #laion #stable-diffuson #text2img #region-us
|
# LAION-Aesthetics :: CLIP β UMAP
This dataset is a CLIP (text) β UMAP embedding of the LAION-Aesthetics dataset - specifically the 'improved_aesthetics_6plus' version, which filters the full dataset to images with scores of > 6 under the "aesthetic" filtering model.
Thanks LAION for this amazing corpus!
---
The d... | [
"# LAION-Aesthetics :: CLIP β UMAP\n\nThis dataset is a CLIP (text) β UMAP embedding of the LAION-Aesthetics dataset - specifically the 'improved_aesthetics_6plus' version, which filters the full dataset to images with scores of > 6 under the \"aesthetic\" filtering model.\n\nThanks LAION for this amazing corpus!\n... | [
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5c8d08d69a9d54741c252ba8bdd8653ee32f52b6 |
# CARES - A Corpus of Anonymised Radiological Evidences in Spanish ππ₯
CARES is a high-quality text resource manually labeled with ICD-10 codes and reviewed by radiologists. These types of resources are essential for developing automatic text classification tools as they are necessary for training and fine-tuning ou... | chizhikchi/CARES_random | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
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"source_datasets:original",
"language:es",
"license:afl-3.0",
"radiology",
"biomedicine",
"ICD-10",
"region:us"
] | 2022-09-13T09:32:00+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["es"], "license": ["afl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "pretty_name": "CARES", "tags": ["radiol... | 2022-11-23T09:36:01+00:00 | [] | [
"es"
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|
# CARES - A Corpus of Anonymised Radiological Evidences in Spanish
CARES is a high-quality text resource manually labeled with ICD-10 codes and reviewed by radiologists. These types of resources are essential for developing automatic text classification tools as they are necessary for training and fine-tuning our co... | [
"# CARES - A Corpus of Anonymised Radiological Evidences in Spanish \n\nCARES is a high-quality text resource manually labeled with ICD-10 codes and reviewed by radiologists. These types of resources are essential for developing automatic text classification tools as they are necessary for training and fine-tuning ... | [
"TAGS\n#task_categories-text-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Spanish #license-afl-3.0 #radiology #biomedicine #ICD-10 #region-us \n",
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e2e03c91c385e8d1a758389cdb20cf9c024f6cbf |
# Dataset Card for recycling-dataset
### Dataset Summary
This is a recycling dataset that can be used for image classification. It has 11 categories:
- aluminium
- batteries
- cardboard
- disposable plates
- glass
- hard plastic
- paper
- paper towel
- polystyrene
- soft plastics
- takeaway cups
It was scrapped fr... | viola77data/recycling-dataset | [
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"source_datasets:original",
"language:en",
"license:apache-2.0",
"recycling",
"image-classification",
"region:us"
] | 2022-09-13T11:43:15+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["image-classification"], "task_ids": ["multi-class-image-classification"], "pretty_... | 2022-09-13T12:17:15+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-classification #task_ids-multi-class-image-classification #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-apache-2.0 #recycling #image-classification #region-us
|
# Dataset Card for recycling-dataset
### Dataset Summary
This is a recycling dataset that can be used for image classification. It has 11 categories:
- aluminium
- batteries
- cardboard
- disposable plates
- glass
- hard plastic
- paper
- paper towel
- polystyrene
- soft plastics
- takeaway cups
It was scrapped fr... | [
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0443841c9c89d542de4ab68bce7686c988f00a12 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: JNK789/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Spli... | autoevaluate/autoeval-eval-emotion-default-42ff1e-1454153801 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-13T17:00:38+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "JNK789/distilbert-base-uncased-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "... | 2022-09-13T17:01:07+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: Multi-class Text Classification
* Model: JNK789/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs,... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: JNK789/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new e... | [
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e3054439375c30e9e0cf0308c274efed194a98c6 | # Dataset Card for CUAD
This is a modified version of original [CUAD](https://huggingface.co/datasets/cuad/blob/main/README.md) which trims the question to its label form.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](... | chenghao/cuad_qa | [
"task_categories:question-answering",
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"license:cc-by-4.0",
"arxiv:210... | 2022-09-13T23:01:15+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["closed-domain-qa", "extractive-qa"... | 2022-09-14T15:15:12+00:00 | [
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"en"
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| Dataset Card for CUAD
=====================
This is a modified version of original CUAD which trims the question to its label form.
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ ... | [
"### Dataset Summary\n\n\nContract Understanding Atticus Dataset (CUAD) v1 is a corpus of more than 13,000 labels in 510 commercial legal contracts that have been manually labeled to identify 41 categories of important clauses that lawyers look for when reviewing contracts in connection with corporate transactions.... | [
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5b7594b2d1e6a6a63df63bbc943409112acf0377 |
# CABank Japanese Sakura Corpus
- Susanne Miyata
- Department of Medical Sciences
- Aichi Shukotoku University
- smiyata@asu.aasa.ac.jp
- website: https://ca.talkbank.org/access/Sakura.html
## Important
This data set is a copy from the original one located at https://ca.talkbank.org/access/Sakura.html.
## Details
... | Fhrozen/CABankSakura | [
"task_categories:audio-classification",
"task_categories:automatic-speech-recognition",
"task_ids:speaker-identification",
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"multilinguality:monolingual",
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"sou... | 2022-09-14T04:47:24+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["ja"], "license": ["cc"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["found"], "task_categories": ["audio-classification", "automatic-speech-recognition"]... | 2022-12-03T03:26:50+00:00 | [] | [
"ja"
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# CABank Japanese Sakura Corpus
- Susanne Miyata
- Department of Medical Sciences
- Aichi Shukotoku University
- smiyata@URL
- website: URL
## Important
This data set is a copy from the original one located at URL
## Details
- Participants: 31
- Type of Study: xxx
- Location: Japan
- Media type: audio
- DOI:... | [
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208ae52187c393a222ee77605d94ec3e033d7e92 |
# CABank Japanese CallHome Corpus
- Participants: 120
- Type of Study: phone call
- Location: United States
- Media type: audio
- DOI: doi:10.21415/T5H59V
- Web: https://ca.talkbank.org/access/CallHome/jpn.html
## Citation information
Some citation here.
In accordance with TalkBank rules, any use of data f... | Fhrozen/CABankSakuraCHJP | [
"task_categories:audio-classification",
"task_categories:automatic-speech-recognition",
"task_ids:speaker-identification",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"sou... | 2022-09-14T04:48:24+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["ja"], "license": ["cc"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["found"], "task_categories": ["audio-classification", "automatic-speech-recognition"]... | 2022-12-03T03:26:43+00:00 | [] | [
"ja"
] | TAGS
#task_categories-audio-classification #task_categories-automatic-speech-recognition #task_ids-speaker-identification #annotations_creators-expert-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-found #language-Ja... |
# CABank Japanese CallHome Corpus
- Participants: 120
- Type of Study: phone call
- Location: United States
- Media type: audio
- DOI: doi:10.21415/T5H59V
- Web: URL
information
Some citation here.
In accordance with TalkBank rules, any use of data from this corpus must be accompanied by at least one of th... | [
"# CABank Japanese CallHome Corpus\n\n- Participants: 120\n- Type of Study: phone call\n- Location: United States\n- Media type: audio\n- DOI: doi:10.21415/T5H59V\n\n- Web: URL\n\ninformation\n\nSome citation here.\nIn accordance with TalkBank rules, any use of data from this corpus must be accompanied by a... | [
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acac1e8a2f086619a3f86242e3485b3b6069d496 |
# FINN.no Slate Dataset for Recommender Systems
> Data and helper functions for FINN.no slate dataset containing both viewed items and clicks from the FINN.no second hand marketplace.
Note: The dataset is originally hosted at https://github.com/finn-no/recsys_slates_dataset and this is a copy of the readme until this... | simeneide/recsys_slates_dataset | [
"arxiv:2104.15046",
"region:us"
] | 2022-09-14T06:41:48+00:00 | {} | 2022-09-14T07:51:42+00:00 | [
"2104.15046"
] | [] | TAGS
#arxiv-2104.15046 #region-us
|
# URL Slate Dataset for Recommender Systems
> Data and helper functions for URL slate dataset containing both viewed items and clicks from the URL second hand marketplace.
Note: The dataset is originally hosted at URL and this is a copy of the readme until this repo is properly created "huggingface-style".
We releas... | [
"# URL Slate Dataset for Recommender Systems\n> Data and helper functions for URL slate dataset containing both viewed items and clicks from the URL second hand marketplace.\n\nNote: The dataset is originally hosted at URL and this is a copy of the readme until this repo is properly created \"huggingface-style\".\n... | [
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826870d287708d23f6828c7cd2405b715c4f1d29 | # MFQEv2 Dataset
For some video enhancement/restoration tasks, lossless reference videos are necessary.
We open-source the dataset used in our [MFQEv2 paper](https://arxiv.org/abs/1902.09707), which includes 108 lossless YUV videos for training and 18 test videos recommended by [ITU-T](https://ieeexplore.ieee.org/doc... | ryanxingql/MFQEv2 | [
"license:apache-2.0",
"arxiv:1902.09707",
"region:us"
] | 2022-09-14T07:46:59+00:00 | {"license": "apache-2.0"} | 2022-09-14T07:48:17+00:00 | [
"1902.09707"
] | [] | TAGS
#license-apache-2.0 #arxiv-1902.09707 #region-us
| # MFQEv2 Dataset
For some video enhancement/restoration tasks, lossless reference videos are necessary.
We open-source the dataset used in our MFQEv2 paper, which includes 108 lossless YUV videos for training and 18 test videos recommended by ITU-T.
## 1. Content
- 108 lossless YUV videos for training.
- 18 lossles... | [
"# MFQEv2 Dataset\n\nFor some video enhancement/restoration tasks, lossless reference videos are necessary.\n\nWe open-source the dataset used in our MFQEv2 paper, which includes 108 lossless YUV videos for training and 18 test videos recommended by ITU-T.",
"## 1. Content\n\n- 108 lossless YUV videos for trainin... | [
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d88018ac299bf2075e1860461d0165ed88e97d99 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: Emanuel/twitter-emotion-deberta-v3-base
* Dataset: emotion
* Config: default
* Split: test
... | autoevaluate/autoeval-eval-emotion-default-2feb36-1456053837 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-14T08:15:54+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "Emanuel/twitter-emotion-deberta-v3-base", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "t... | 2022-09-14T08:16:38+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: Emanuel/twitter-emotion-deberta-v3-base
* Dataset: emotion
* Config: default
* 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: Multi-class Text Classification\n* Model: Emanuel/twitter-emotion-deberta-v3-base\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: Emanuel/twitter-emotion-deberta-v3-base\n* Dataset: emotion\n* Config:... | [
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3de4889cb01d4c83cff36d11aafd915429ac3488 | # 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: ARTeLab/it5-summarization-fanpage
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluati... | autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-8ddaed-1457553860 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-14T08:18:38+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "ARTeLab/it5-summarization-fanpage", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "train", "col_mapping": {"text": "article", "target... | 2022-09-14T12:30:24+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: ARTeLab/it5-summarization-fanpage
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation jobs, visit Hugging Face's automa... | [
"# 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: ARTeLab/it5-summarization-fanpage\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: train\n\nTo run new evaluation jobs, visit Huggin... | [
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"# 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: ARTeLab/it5-summarization-fanpage\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: t... | [
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8b762e1dac1b31d60e01ee8f08a9d8a232b59e17 |
# Dataset Card for PokΓ©mon BLIP captions
_Dataset used to train [PokΓ©mon text to image model](https://github.com/LambdaLabsML/examples/tree/main/stable-diffusion-finetuning)_
BLIP generated captions for PokΓ©mon images from Few Shot PokΓ©mon dataset introduced by _Towards Faster and Stabilized GAN Training for High-fi... | lambdalabs/pokemon-blip-captions | [
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"size_categories:n<1K",
"source_datasets:huggan/few-shot-pokemon",
"language:en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-09-14T11:04:50+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["other"], "language": ["en"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["huggan/few-shot-pokemon"], "task_categories": ["text-to-image"], "task_ids": [], "pretty_name": "Pok\u00... | 2022-09-21T09:38:05+00:00 | [] | [
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|
# Dataset Card for PokΓ©mon BLIP captions
_Dataset used to train PokΓ©mon text to image model_
BLIP generated captions for PokΓ©mon images from Few Shot PokΓ©mon dataset introduced by _Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis_ (FastGAN). Original images were obtained from Fas... | [
"# Dataset Card for PokΓ©mon BLIP captions\n\n_Dataset used to train PokΓ©mon text to image model_\n\nBLIP generated captions for PokΓ©mon images from Few Shot PokΓ©mon dataset introduced by _Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis_ (FastGAN). Original images were obtained ... | [
"TAGS\n#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-huggan/few-shot-pokemon #language-English #license-cc-by-nc-sa-4.0 #region-us \n",
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cb3553a29970018ebc7b305acf37b6ec5f66b505 |
This is a copy of the [Cochrane](https://huggingface.co/datasets/allenai/mslr2022) dataset, except the input source documents of its `validation` split have been replaced by a __sparse__ retriever. The retrieval pipeline used:
- __query__: The `target` field of each example
- __corpus__: The union of all documents in... | allenai/cochrane_sparse_max | [
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"source_datasets:extended|other-MS^2",
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"lang... | 2022-09-14T12:15:14+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|other-MS^2", "extended|other-Cochrane"], "task_categories": ["summarization", "tex... | 2022-11-24T14:50:26+00:00 | [] | [
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#task_categories-summarization #task_categories-text2text-generation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|other-MS^2 #source_datasets-extended|other-Cochrane #language-English #license-apache-2.... | This is a copy of the Cochrane dataset, except the input source documents of its 'validation' split have been replaced by a **sparse** retriever. The retrieval pipeline used:
* **query**: The 'target' field of each example
* **corpus**: The union of all documents in the 'train', 'validation' and 'test' splits. A docu... | [] | [
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72ac00150e537264a866f5136f0a57c4c0e9be00 |
This is a copy of the [Cochrane](https://huggingface.co/datasets/allenai/mslr2022) dataset, except the input source documents of its `validation` split have been replaced by a __sparse__ retriever. The retrieval pipeline used:
- __query__: The `target` field of each example
- __corpus__: The union of all documents in... | allenai/cochrane_sparse_mean | [
"task_categories:summarization",
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"source_datasets:extended|other-MS^2",
"source_datasets:extended|other-Cochrane",
"lang... | 2022-09-14T12:15:44+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|other-MS^2", "extended|other-Cochrane"], "task_categories": ["summarization", "tex... | 2022-11-24T15:04:01+00:00 | [] | [
"en"
] | TAGS
#task_categories-summarization #task_categories-text2text-generation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|other-MS^2 #source_datasets-extended|other-Cochrane #language-English #license-apache-2.... | This is a copy of the Cochrane dataset, except the input source documents of its 'validation' split have been replaced by a **sparse** retriever. The retrieval pipeline used:
* **query**: The 'target' field of each example
* **corpus**: The union of all documents in the 'train', 'validation' and 'test' splits. A docu... | [] | [
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a12849702d4d495199ba73a295ff3393f600c82e |
This is a copy of the [Cochrane](https://huggingface.co/datasets/allenai/mslr2022) dataset, except the input source documents of its `validation` split have been replaced by a __sparse__ retriever. The retrieval pipeline used:
- __query__: The `target` field of each example
- __corpus__: The union of all documents in... | allenai/cochrane_sparse_oracle | [
"task_categories:summarization",
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"source_datasets:extended|other-MS^2",
"source_datasets:extended|other-Cochrane",
"lang... | 2022-09-14T12:16:16+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|other-MS^2", "extended|other-Cochrane"], "task_categories": ["summarization", "tex... | 2022-11-24T14:54:01+00:00 | [] | [
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#task_categories-summarization #task_categories-text2text-generation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|other-MS^2 #source_datasets-extended|other-Cochrane #language-English #license-apache-2.... | This is a copy of the Cochrane dataset, except the input source documents of its 'validation' split have been replaced by a **sparse** retriever. The retrieval pipeline used:
* **query**: The 'target' field of each example
* **corpus**: The union of all documents in the 'train', 'validation' and 'test' splits. A docu... | [] | [
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9d84b3ac8da24fbce401b98a178082e54a1bca8f |
This contains the datasets for the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the [competition website](http://trojandetection.ai/).
# **Trojan Detection**
##### Detect and Analyze Trojan attacks on deep neural networks that are designed to be difficult to detect.
### **Overview... | n1ghtf4l1/vigilant-fortnight | [
"license:mit",
"region:us"
] | 2022-09-14T13:01:28+00:00 | {"license": "mit"} | 2022-11-01T06:59:48+00:00 | [] | [] | TAGS
#license-mit #region-us
|
This contains the datasets for the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the competition website.
# Trojan Detection
##### Detect and Analyze Trojan attacks on deep neural networks that are designed to be difficult to detect.
### Overview
Neural Trojans are a growing conce... | [
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6dd53ddc97b18d6fc7c29252712ff261543e0fea |
Dataset Contain sentimen for Indonesia Communication Industry. Source from Twitter and manually annotated in prodigy spacy
| dwisaji/indonesia-telecomunication-sentiment-dataset | [
"license:mit",
"region:us"
] | 2022-09-14T13:25:03+00:00 | {"license": "mit"} | 2022-09-16T10:36:02+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Dataset Contain sentimen for Indonesia Communication Industry. Source from Twitter and manually annotated in prodigy spacy
| [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
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c66d38584e94865e84e2295385fd18b39e721d79 | # 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: t5-base
* Dataset: HadiPourmousa/TextSummarization
* Config: HadiPourmousa--TextSummarization
* Split: train
... | autoevaluate/autoeval-eval-HadiPourmousa__TextSummarization-HadiPourmousa__TextSum-31dfb4-1463253931 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-14T15:05:10+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["HadiPourmousa/TextSummarization"], "eval_info": {"task": "summarization", "model": "t5-base", "metrics": [], "dataset_name": "HadiPourmousa/TextSummarization", "dataset_config": "HadiPourmousa--TextSummarization", "dataset_split": "train", "col_... | 2022-09-14T15:06:24+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: t5-base
* Dataset: HadiPourmousa/TextSummarization
* Config: HadiPourmousa--TextSummarization
* Split: train
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: t5-base\n* Dataset: HadiPourmousa/TextSummarization\n* Config: HadiPourmousa--TextSummarization\n* Split: train\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: t5-base\n* Dataset: HadiPourmousa/TextSummarization\n* Config: HadiPourmousa--TextSummar... | [
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2a8b1b48cf1266ce9417abd61b51e004491e6e5d | # 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: shivaniNK8/t5-small-finetuned-cnn-news
* Dataset: HadiPourmousa/TextSummarization
* Config: HadiPourmousa--Tex... | autoevaluate/autoeval-eval-HadiPourmousa__TextSummarization-HadiPourmousa__TextSum-31dfb4-1463253932 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-14T15:05:14+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["HadiPourmousa/TextSummarization"], "eval_info": {"task": "summarization", "model": "shivaniNK8/t5-small-finetuned-cnn-news", "metrics": [], "dataset_name": "HadiPourmousa/TextSummarization", "dataset_config": "HadiPourmousa--TextSummarization", ... | 2022-09-14T15:05:51+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: shivaniNK8/t5-small-finetuned-cnn-news
* Dataset: HadiPourmousa/TextSummarization
* Config: HadiPourmousa--TextSummarization
* Split: train
To ru... | [
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46db0397e01c802cd02a14c954cc3e60a4f929a3 |
# Εalom Ladino articles text corpus
Text corpus compiled from 397 articles from the Judeo-Espanyol section of [Εalom newspaper](https://www.salom.com.tr/haberler/17/judeo-espanyol). Original sentences and articles belong to Εalom.
Size: 176,843 words
[Offical link](https://data.sefarad.com.tr/dataset/salom-ladino... | collectivat/salom-ladino-articles | [
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|
# Εalom Ladino articles text corpus
Text corpus compiled from 397 articles from the Judeo-Espanyol section of Εalom newspaper. Original sentences and articles belong to Εalom.
Size: 176,843 words
Offical link
Paper on ArXiv
Citation:
This dataset is created as part of project "Judeo-Spanish: Connecting the t... | [
"# Εalom Ladino articles text corpus \n\nText corpus compiled from 397 articles from the Judeo-Espanyol section of Εalom newspaper. Original sentences and articles belong to Εalom. \n\nSize: 176,843 words\n\nOffical link\n\nPaper on ArXiv\n\nCitation:\n\n\n\nThis dataset is created as part of project \"Judeo-Spanis... | [
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a91c62f46e6e69eb7ab019798e5913c135d061f8 |
# Una fraza al diya
Ladino language learning sentences prepared by Karen Sarhon of Sephardic Center of Istanbul. Each sentence has translations in Turkish, English, Spanish. Includes audio and image. 307 sentences in total.
Source: https://sefarad.com.tr/judeo-espanyolladino/frazadeldia/
Images and audio: http://co... | collectivat/una-fraza-al-diya | [
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# Una fraza al diya
Ladino language learning sentences prepared by Karen Sarhon of Sephardic Center of Istanbul. Each sentence has translations in Turkish, English, Spanish. Includes audio and image. 307 sentences in total.
Source: URL
Images and audio: URL
Offical link on Ladino Data Hub
Paper on ArXiv
Citatio... | [
"# Una fraza al diya\n\nLadino language learning sentences prepared by Karen Sarhon of Sephardic Center of Istanbul. Each sentence has translations in Turkish, English, Spanish. Includes audio and image. 307 sentences in total.\n\nSource: URL\n\nImages and audio: URL \n\nOffical link on Ladino Data Hub\n\nPaper on ... | [
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fbc749f1c537e5c3834e93b15784302e331debe2 |
## Dataset Description
- **Repository:** https://conala-corpus.github.io/
- **Paper:** [Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow](https://arxiv.org/pdf/1805.08949.pdf)
### Dataset Summary
[CoNaLa](https://conala-corpus.github.io/) is a benchmark of code and natural language pairs, ... | neulab/conala | [
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| Dataset Description
-------------------
* Repository: URL
* Paper: Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow
### Dataset Summary
CoNaLa is a benchmark of code and natural language pairs, for the evaluation of code generation tasks. The dataset was crawled from Stack Overflow, au... | [
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e5eaccf06c04cd1fcedf0d73d67d51d7bd23693b |
This is a copy of the [WCEP-10](https://huggingface.co/datasets/ccdv/WCEP-10) dataset, except the input source documents of its `test` split have been replaced by a __sparse__ retriever. The retrieval pipeline used:
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4099112870faebab587478313df6acecff54008f |
This is a copy of the [WCEP-10](https://huggingface.co/datasets/ccdv/WCEP-10) dataset, except the input source documents of its `test` split have been replaced by a __sparse__ retriever. The retrieval pipeline used:
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d21df471d1b06e5d95571001a44995a368c13c19 |
This is a copy of the [WCEP-10](https://huggingface.co/datasets/ccdv/WCEP-10) dataset, except the input source documents of its `test` split have been replaced by a __sparse__ retriever. The retrieval pipeline used:
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afc723a840ee4e71596d0c4970dec294f1d4eea8 |
Dataset of titles of the top 1000 posts from the top 250 subreddits scraped using [PRAW](https://praw.readthedocs.io/en/stable/index.html).
For steps to create the dataset check out the [dataset](https://github.com/daspartho/predict-subreddit/blob/main/dataset.py) script in the GitHub repo. | daspartho/subreddit-posts | [
"license:apache-2.0",
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|
Dataset of titles of the top 1000 posts from the top 250 subreddits scraped using PRAW.
For steps to create the dataset check out the dataset script in the GitHub repo. | [] | [
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554b062213e9b94c22c98dea9a72b1c451db1785 | # 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: SamuelAllen123/t5-efficient-large-nl36_sum
* Dataset: samsum
* Config: samsum
* Split: test
To run new evalua... | autoevaluate/autoeval-eval-samsum-samsum-5abc44-1464853958 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-14T20:23:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_sum", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialogue", "target": "... | 2022-09-14T20:32:43+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: SamuelAllen123/t5-efficient-large-nl36_sum
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's auto... | [
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b707596946d87b12e0b9c3fdfb92280c73505003 | # 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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run... | autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-fb0535-1465153964 | [
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"evaluation",
"region:us"
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V12
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging ... | [
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b03bcdf81535a6550ece72d65a15f8a9132a5177 | # 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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: big_patent
* Config: y
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To run new ev... | autoevaluate/autoeval-eval-big_patent-y-3c6f0a-1465253965 | [
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V12
* Dataset: big_patent
* Config: y
* Split: test
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574d5679836e0858757a0d3a15f6e88d52a8b12d | # 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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: billsum
* Config: default
* Split: test
To run new... | autoevaluate/autoeval-eval-billsum-default-a34c3f-1465353966 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-14T22:51:59+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["billsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V12", "metrics": [], "dataset_name": "billsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target... | 2022-09-15T12:21:49+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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: billsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face... | [
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e802fcbc2e19103618b1e7afd9c0835d85642bc9 | # 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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: samsum
* Config: samsum
* Split: test
To run new e... | autoevaluate/autoeval-eval-samsum-samsum-89ef9c-1465453967 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-14T23:20:56+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V12", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialogue", "targe... | 2022-09-14T23:39:49+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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's... | [
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3739d09f05f0116bde477fbc5e9b4c8346db847d | # 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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: launch/gov_report
* Config: plain_text
* Split: tes... | autoevaluate/autoeval-eval-launch__gov_report-plain_text-c8c9c8-1465553968 | [
"autotrain",
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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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluation jobs, visit... | [
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f6b8ab257df3565fbb66b5aa490535371936aa04 | # 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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: Blaise-g/PubMed_summ
* Config: Blaise-g--PubMed_sum... | autoevaluate/autoeval-eval-Blaise-g__PubMed_summ-Blaise-g__PubMed_summ-0234b8-1465653969 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-14T23:21:04+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/PubMed_summ"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V12", "metrics": [], "dataset_name": "Blaise-g/PubMed_summ", "dataset_config": "Blaise-g--PubMed_summ", "dataset_split": "test",... | 2022-09-16T05:40:02+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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: Blaise-g/PubMed_summ
* Config: Blaise-g--PubMed_summ
* Split: test
To run new evaluati... | [
"# 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/long-t5-tglobal-base-16384-booksum-V12\n* Dataset: Blaise-g/PubMed_summ\n* Config: Blaise-g--PubMed_summ\n* Split: test\n\nTo r... | [
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ea5404aecf4e9eecb11b8a4e655b959ae298648c | # 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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: ccdv/arxiv-summarization
* Config: document
* Split... | autoevaluate/autoeval-eval-ccdv__arxiv-summarization-document-47d12e-1465753970 | [
"autotrain",
"evaluation",
"region:us"
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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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: ccdv/arxiv-summarization
* Config: document
* Split: test
To run new evaluation jobs, ... | [
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df25b0c51d06c4aef5f462ac1bcd0d0e37eeac82 | # 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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: t... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-228ea1-1466053986 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-15T00:38:01+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V12", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_mapping": {"... | 2022-09-15T10:16:52+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/long-t5-tglobal-base-16384-booksum-V12
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, vis... | [
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f8322d1772f53552a45d61d20fb69ecc61562e33 | # 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/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
* Dataset: kmfoda/booksum
* Config: kmfoda--books... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-1006ec-1466153987 | [
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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/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluat... | [
"# 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/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo ... | [
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5049442efa4cb3d9d27987be83961addba9d6ea4 | # 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/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11
* Dataset: kmfoda/booksum
* Config: kmfoda--books... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-1006ec-1466153988 | [
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"evaluation",
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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/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluat... | [
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570d90ae4f7b64fe4fdd5f42fc9f9279b8c9fd9d |
# 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... | ai4bharat/IndicQA | [
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"source_datasets:original",
"language:as",
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"language:gu",
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... | 2022-09-15T03:52:16+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["question-answer... | 2023-06-20T02:03:32+00:00 | [] | [
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# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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7d2f6a1445c3337a06a50a82775c613abe7cf508 |
# Dataset Card for Unannotated Spanish 3 Billion Words Corpora
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Source Data](#source-data)
- [Data Subset](#data-subset)
- [Additional ... | vialibre/splittedspanish3bwc | [
"multilinguality:monolingual",
"language:es",
"license:mit",
"region:us"
] | 2022-09-15T04:48:02+00:00 | {"language": ["es"], "license": ["mit"], "multilinguality": ["monolingual"], "pretty_name": "Unannotated Spanish 3 Billion Words Corpora"} | 2023-01-24T18:17:47+00:00 | [] | [
"es"
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#multilinguality-monolingual #language-Spanish #license-mit #region-us
|
# Dataset Card for Unannotated Spanish 3 Billion Words Corpora
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Source Data
- Data Subset
- Additional Information
- Licensing Information
- Citation Information
## Dataset Description
- Repository: URL
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ceea7758a71df239a2aec65d28e54c5207f3e5b2 | # 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: Adrian/distilbert-base-uncased-finetuned-squad-colab
* Dataset: squad_v2
* Config: squad_v2
* Split: vali... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-c76793-16626245 | [
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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: Question Answering
* Model: Adrian/distilbert-base-uncased-finetuned-squad-colab
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, ... | [
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cc9a1b600ae3a78649cb2aed244118c15eccadc4 | # 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: 21iridescent/distilbert-base-uncased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: vali... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-c76793-16626243 | [
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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: Question Answering
* Model: 21iridescent/distilbert-base-uncased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, ... | [
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15a694a839c2cac55ecb0a6dc6a7ff1dfc395b2c | # 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: Akari/albert-base-v2-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run n... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-c76793-16626246 | [
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"region:us"
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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: Question Answering
* Model: Akari/albert-base-v2-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Fa... | [
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3ff4b745deb79d6834359d9e3d9d38fbecad9a80 | # 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: 21iridescent/distilroberta-base-finetuned-squad2-lwt
* Dataset: squad_v2
* Config: squad_v2
* Split: vali... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-c76793-16626244 | [
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: 21iridescent/distilroberta-base-finetuned-squad2-lwt
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, ... | [
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57b74ba8affbdcd36661fcd37b7b315f83c3cb31 | # 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: Akihiro2/bert-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new eval... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-c76793-16626247 | [
"autotrain",
"evaluation",
"region:us"
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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: Question Answering
* Model: Akihiro2/bert-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's au... | [
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307626be4df7c25e14c9e122770bea7b5c4b0a6d | # 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: AyushPJ/test-squad-trained-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-c76793-16626248 | [
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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: Question Answering
* Model: AyushPJ/test-squad-trained-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugg... | [
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c036789ee389f8b75efc172316b8153ead77708e | # 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: haritzpuerto/MiniLM-L12-H384-uncased-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-07bda3-16636249 | [
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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: Question Answering
* Model: haritzpuerto/MiniLM-L12-H384-uncased-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugg... | [
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14c2a7d0daa831f77cf485eda29f3b92bf5a9cb9 | # 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: mrm8488/longformer-base-4096-finetuned-squadv2
* Dataset: squad_v2
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* Split: validation... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-972433-16666252 | [
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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: Question Answering
* Model: mrm8488/longformer-base-4096-finetuned-squadv2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit ... | [
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A PubMed-based dataset, used for the fine-tuning of the [BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://arxiv.org/abs/2007.15779) model for the context-based classification of the names of molecular pathways.
<br><br>
HuggingFace [card](https://huggingface.co/Timofey/PubMedBERT_Genes_Proteins_Context_Cla... | Timofey/Genes_Proteins_Fine-Tuning_Dataset | [
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A PubMed-based dataset, used for the fine-tuning of the BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext model for the context-based classification of the names of molecular pathways.
<br><br>
HuggingFace card of the fine-tuned model.<br>
GitHub link with a notebooks, for the fine-tuning and application of the mode... | [] | [
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A PubMed-based dataset, used for the fine-tuning of the [BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://arxiv.org/abs/2007.15779) model for the context-based classification of the names of molecular pathways.
<br><br>
HuggingFace [card](https://huggingface.co/Timofey/PubMedBERT_Diseases_Side-Effects_Cont... | Timofey/Diseases_Side-Effects_Fine-Tuning_Dataset | [
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A PubMed-based dataset, used for the fine-tuning of the BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext model for the context-based classification of the names of molecular pathways.
<br><br>
HuggingFace card of the fine-tuned model.<br>
GitHub link with a notebooks, for the fine-tuning and application of the mode... | [] | [
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A PubMed-based dataset, used for the fine-tuning of the [BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://arxiv.org/abs/2007.15779) model for the context-based classification of the names of molecular pathways.
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HuggingFace [card](https://huggingface.co/Timofey/PubMedBERT_Pathways_Context_Classifie... | Timofey/Pathways_Fine-Tuning_Dataset | [
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"2007.15779"
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A PubMed-based dataset, used for the fine-tuning of the BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext model for the context-based classification of the names of molecular pathways.
<br><br>
HuggingFace card of the fine-tuned model.<br>
GitHub link with a notebooks, for the fine-tuning and application of the mode... | [] | [
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a8d0fb879ef9b12fd3f2ceb910a25af0bfbea10f |
A PubMed-based dataset, used for the fine-tuning of the [BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://arxiv.org/abs/2007.15779) model for the context-based classification of the names of molecular pathways.
<br><br>
HuggingFace [card](https://huggingface.co/Timofey/PubMedBERT_Cell_Components_Context_Cl... | Timofey/Cell_Components_Fine-Tuning_Dataset | [
"ANDDigest",
"ANDSystem",
"PubMed",
"arxiv:2007.15779",
"region:us"
] | 2022-09-15T10:26:27+00:00 | {"tags": ["ANDDigest", "ANDSystem", "PubMed"], "viewer": false, "extra_gated_fields": {"I agree to share my contact Information": "checkbox"}} | 2022-11-11T12:02:12+00:00 | [
"2007.15779"
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#ANDDigest #ANDSystem #PubMed #arxiv-2007.15779 #region-us
|
A PubMed-based dataset, used for the fine-tuning of the BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext model for the context-based classification of the names of molecular pathways.
<br><br>
HuggingFace card of the fine-tuned model.<br>
GitHub link with a notebooks, for the fine-tuning and application of the mode... | [] | [
"TAGS\n#ANDDigest #ANDSystem #PubMed #arxiv-2007.15779 #region-us \n"
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86daa918401d71f6df102d24db7ed4bc60d39caa |
A PubMed-based dataset, used for the fine-tuning of the [BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://arxiv.org/abs/2007.15779) model for the context-based classification of the names of molecular pathways.
<br><br>
HuggingFace [card](https://huggingface.co/Timofey/PubMedBERT_Drugs_Metabolites_Context_... | Timofey/Drugs_Metabolites_Fine-Tuning_Dataset | [
"ANDDigest",
"ANDSystem",
"PubMed",
"arxiv:2007.15779",
"region:us"
] | 2022-09-15T10:35:21+00:00 | {"tags": ["ANDDigest", "ANDSystem", "PubMed"], "viewer": false, "extra_gated_fields": {"I agree to share my contact Information": "checkbox"}} | 2022-11-11T12:00:35+00:00 | [
"2007.15779"
] | [] | TAGS
#ANDDigest #ANDSystem #PubMed #arxiv-2007.15779 #region-us
|
A PubMed-based dataset, used for the fine-tuning of the BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext model for the context-based classification of the names of molecular pathways.
<br><br>
HuggingFace card of the fine-tuned model.<br>
GitHub link with a notebooks, for the fine-tuning and application of the mode... | [] | [
"TAGS\n#ANDDigest #ANDSystem #PubMed #arxiv-2007.15779 #region-us \n"
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dd7d748ed3c8e00fd078e625a01c2d9addff358b |
# Data card for Internet Archive historic book pages unlabelled.
- `10,844,387` unlabelled pages from historical books from the internet archive.
- Intended to be used for:
- pre-training computer vision models in an unsupervised manner
- using weak supervision to generate labels | ImageIN/IA_unlabelled | [
"region:us"
] | 2022-09-15T12:52:19+00:00 | {"annotations_creators": [], "language_creators": [], "language": [], "license": [], "multilinguality": [], "size_categories": [], "source_datasets": [], "task_categories": [], "task_ids": [], "pretty_name": "Internet Archive historic book pages unlabelled.", "tags": []} | 2022-10-21T13:38:12+00:00 | [] | [] | TAGS
#region-us
|
# Data card for Internet Archive historic book pages unlabelled.
- '10,844,387' unlabelled pages from historical books from the internet archive.
- Intended to be used for:
- pre-training computer vision models in an unsupervised manner
- using weak supervision to generate labels | [
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e0aa6f54740139a2bde073beac5f93403ed2e990 | annotations_creators:
- no-annotation
languages:
-English
All data pulled from Gene Expression Omnibus website. tab separated file with GSE number followed by title and abstract text. | spiccolo/gene_expression_omnibus_nlp | [
"region:us"
] | 2022-09-15T14:53:44+00:00 | {} | 2022-10-13T15:34:55+00:00 | [] | [] | TAGS
#region-us
| annotations_creators:
- no-annotation
languages:
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All data pulled from Gene Expression Omnibus website. tab separated file with GSE number followed by title and abstract text. | [] | [
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7b976142cd87d9b99c4e9841a3c579e99eee09ed | # AutoTrain Dataset for project: ratnakar_1000_sample_curated
## Dataset Description
This dataset has been automatically processed by AutoTrain for project ratnakar_1000_sample_curated.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this data... | hemangjoshi37a/autotrain-data-ratnakar_1000_sample_curated | [
"language:en",
"region:us"
] | 2022-09-15T16:35:58+00:00 | {"language": ["en"]} | 2023-02-16T12:45:39+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| AutoTrain Dataset for project: ratnakar\_1000\_sample\_curated
==============================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project ratnakar\_1000\_sample\_curated.
### Languages
The BCP-47 code for the data... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
"TAGS\n#language-English #region-us \n",
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... |
f5295abf41f24f8fc5b9790311a2484400dcdf00 | # 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: autoevaluate/zero-shot-classification
* Dataset: autoevaluate/zero-shot-classification-sample
... | autoevaluate/autoeval-staging-eval-autoevaluate__zero-shot-classification-sample-autoevalu-acab52-16766274 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-15T17:06:48+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["autoevaluate/zero-shot-classification-sample"], "eval_info": {"task": "text_zero_shot_classification", "model": "autoevaluate/zero-shot-classification", "metrics": [], "dataset_name": "autoevaluate/zero-shot-classification-sample", "dataset_conf... | 2022-09-15T18:13:14+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification
* Dataset: autoevaluate/zero-shot-classification-sample
* Config: autoevaluate--zero-shot-cl... | [
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be8e467ab348721baeae3c5e8761e120f1b9e341 | # 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: autoevaluate/zero-shot-classification
* Dataset: Tristan/zero_shot_classification_test
* Confi... | autoevaluate/autoeval-staging-eval-Tristan__zero_shot_classification_test-Tristan__zero_sh-997db8-16786276 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-15T18:25:59+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Tristan/zero_shot_classification_test"], "eval_info": {"task": "text_zero_shot_classification", "model": "autoevaluate/zero-shot-classification", "metrics": [], "dataset_name": "Tristan/zero_shot_classification_test", "dataset_config": "Tristan-... | 2022-09-15T18:26:29+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification
* Dataset: Tristan/zero_shot_classification_test
* Config: Tristan--zero_shot_classification... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: autoevaluate/zero-shot-classification\n* Dataset: Tristan/zero_shot_classification_test\n* Config: Tristan--zero_shot_cl... | [
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c2a2bfe23d23992408295e0dcaa40e1d06fbacc9 |
# openwebtext_20p
## Dataset Description
- **Origin:** [openwebtext](https://huggingface.co/datasets/openwebtext)
- **Download Size** 4.60 GiB
- **Generated Size** 7.48 GiB
- **Total Size** 12.08 GiB
first 20% of [openwebtext](https://huggingface.co/datasets/openwebtext) | Bingsu/openwebtext_20p | [
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"la... | 2022-09-16T01:15:16+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["extended|openwebtext"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling",... | 2022-09-16T01:36:38+00:00 | [] | [
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# openwebtext_20p
## Dataset Description
- Origin: openwebtext
- Download Size 4.60 GiB
- Generated Size 7.48 GiB
- Total Size 12.08 GiB
first 20% of openwebtext | [
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a99cdd9ebcda07905cf2d6c5cdf58b70c43cce8e |
# Dataset Card for Kelly
Keywords for Language Learning for Young and adults alike
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Insta... | codesue/kelly | [
"task_categories:text-classification",
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"size_categories:1K<n<10K",
"language:sv",
"license:cc-by-4.0",
"lexicon",
"swedish",
"CEFR",
"region:us"
] | 2022-09-16T01:18:16+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["sv"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["text-scoring"], "pretty_name": "ke... | 2022-12-18T22:06:55+00:00 | [] | [
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|
# Dataset Card for Kelly
Keywords for Language Learning for Young and adults alike
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Additional Information
- Licensing Informat... | [
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dc137a6a976f6b5bb8768e9bb51ec58df930ccd1 |
# Dataset Card for "privy-english"
## 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-insta... | beki/privy | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
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"size_categories:300K<n<400K",
"language:en",
"license:mit",
"pii-detection",
"region:us"
] | 2022-09-16T03:41:28+00:00 | {"language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<200K", "300K<n<400K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "Privy English", "tags": ["pii-detection"], "train-eval-index": [{"config": "privy-small",... | 2023-04-25T20:45:06+00:00 | [] | [
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| Dataset Card for "privy-english"
================================
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
... | [
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ffe47778949ab10a9d142c9156da20cceae5488e |
# Dataset Card for Nexdata/Mandarin_Spontaneous_Speech_Data_by_Mobile_Phone
## 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](#la... | Nexdata/Mandarin_Spontaneous_Speech_Data_by_Mobile_Phone | [
"task_categories:automatic-speech-recognition",
"language:zh",
"region:us"
] | 2022-09-16T09:10:40+00:00 | {"language": ["zh"], "task_categories": ["automatic-speech-recognition"], "YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-11-22T09:44:03+00:00 | [] | [
"zh"
] | TAGS
#task_categories-automatic-speech-recognition #language-Chinese #region-us
|
# Dataset Card for Nexdata/Mandarin_Spontaneous_Speech_Data_by_Mobile_Phone
## 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 Ratio... | [
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2751c683885849b771797fec13e146fe59811180 |
# Dataset Card for Nexdata/Korean_Conversational_Speech_Data_by_Mobile_Phone
## 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](#l... | Nexdata/Korean_Conversational_Speech_Data_by_Mobile_Phone | [
"task_categories:conversational",
"language:ko",
"region:us"
] | 2022-09-16T09:13:43+00:00 | {"language": ["ko"], "task_categories": ["conversational"], "YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-11-22T09:43:54+00:00 | [] | [
"ko"
] | TAGS
#task_categories-conversational #language-Korean #region-us
|
# Dataset Card for Nexdata/Korean_Conversational_Speech_Data_by_Mobile_Phone
## 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 Rati... | [
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466e1bbc26e58600d32cfdab7779aea4be5f6c78 |
# Dataset Card for Nexdata/Japanese_Conversational_Speech_by_Mobile_Phone
## 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](#lang... | Nexdata/Japanese_Conversational_Speech_by_Mobile_Phone | [
"task_categories:conversational",
"language:ja",
"region:us"
] | 2022-09-16T09:14:35+00:00 | {"language": ["ja"], "task_categories": ["conversational"], "YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-11-22T09:44:24+00:00 | [] | [
"ja"
] | TAGS
#task_categories-conversational #language-Japanese #region-us
|
# Dataset Card for Nexdata/Japanese_Conversational_Speech_by_Mobile_Phone
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationa... | [
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9d53d40614e2466e905a48c39d3593ad4ed52b81 |
# Dataset Card for Nexdata/Italian_Conversational_Speech_Data_by_Mobile_Phone
## Description
About 700 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent,... | Nexdata/Italian_Conversational_Speech_Data_by_Mobile_Phone | [
"task_categories:conversational",
"language:it",
"region:us"
] | 2022-09-16T09:15:32+00:00 | {"language": ["it"], "task_categories": ["conversational"], "YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-11-10T07:48:10+00:00 | [] | [
"it"
] | TAGS
#task_categories-conversational #language-Italian #region-us
|
# Dataset Card for Nexdata/Italian_Conversational_Speech_Data_by_Mobile_Phone
## Description
About 700 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent,... | [
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b96e3be1f0db925f88558b78d9092a1269c814e0 |
NLIλ₯Ό μν νκ΅μ΄ μλ΄ λ°μ΄ν°μ
μ
λλ€.
'question'μ μλ΄μ μλ―Έμ 보기(5μ§μ λ€)κ° νμλμ΄ μμΌλ©°,
'label'μλ μ λ΅μ λ²νΈ(0-4)κ° νμλμ΄ μμ΅λλ€.
licence: cc-by-sa-2.0-kr (μλ³Έ μΆμ²:κ΅λ¦½κ΅μ΄μ νμ€κ΅μ΄λμ¬μ )
|Model| psyche/korean_idioms |
|:------:|:---:|
|klue/bert-base|0.7646| | psyche/korean_idioms | [
"task_categories:text-classification",
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"language:ko",
"region:us"
] | 2022-09-16T10:31:37+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["ko"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "pretty_name": "psyche/korean_idioms", "tags": []} | 2022-10-23T03:02:44+00:00 | [] | [
"ko"
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#task_categories-text-classification #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Korean #region-us
| NLIλ₯Ό μν νκ΅μ΄ μλ΄ λ°μ΄ν°μ
μ
λλ€.
'question'μ μλ΄μ μλ―Έμ 보기(5μ§μ λ€)κ° νμλμ΄ μμΌλ©°,
'label'μλ μ λ΅μ λ²νΈ(0-4)κ° νμλμ΄ μμ΅λλ€.
licence: cc-by-sa-2.0-kr (μλ³Έ μΆμ²:κ΅λ¦½κ΅μ΄μ νμ€κ΅μ΄λμ¬μ )
| [] | [
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] | [
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] |
28fb0d7e0d32c1ac7b6dd09f8d9a4e283212e1c0 |
|Model| psyche/bool_sentence (10k) |
|:------:|:---:|
|klue/bert-base|0.9335|
licence: cc-by-sa-2.0-kr (μλ³Έ μΆμ²:κ΅λ¦½κ΅μ΄μ νμ€κ΅μ΄λμ¬μ ) | psyche/bool_sentence | [
"task_categories:text-classification",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
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"language:ko",
"region:us"
] | 2022-09-16T11:30:21+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["ko"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "psyche/bool_sentence", "tags": []} | 2022-10-23T01:52:40+00:00 | [] | [
"ko"
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#task_categories-text-classification #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Korean #region-us
|
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| [] | [
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] |
7dfaa5ab1015d802d08b5ca624675a53d4502bda |
```sh
git clone https://github.com/natir/br.git
git clone https://github.com/natir/pcon
git clone https://github.com/natir/yacrd
git clone https://github.com/natir/rasusa
git clone https://github.com/natir/fpa
git clone https://github.com/natir/kmrf
rm -f RustBioGPT-train.csv && for i in `find . -name "*.rs"`;do past... | jelber2/RustBioGPT | [
"license:mit",
"region:us"
] | 2022-09-16T11:59:39+00:00 | {"license": "mit"} | 2022-09-27T11:02:09+00:00 | [] | [] | TAGS
#license-mit #region-us
| [] | [
"TAGS\n#license-mit #region-us \n"
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6ca3d7b3c4711e6f9df5d73ee70958c2750f925c |
# WNLI-es
## 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)
- [Data Inst... | PlanTL-GOB-ES/wnli-es | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
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"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|glue",
"language:es",
"license:cc-by-4.0",
"region:us"
] | 2022-09-16T12:51:45+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["es"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|glue"], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference"], "... | 2022-11-18T12:03:25+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-classification #task_ids-natural-language-inference #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-extended|glue #language-Spanish #license-cc-by-4.0 #region-us
|
# WNLI-es
## 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
- Personal and Sensitive I... | [
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4a15933dcd0acf4d468b13e12f601a4e456deeb6 | # 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: Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad
* Dataset: squad_v2
* Config... | autoevaluate/autoeval-eval-squad_v2-squad_v2-e15d25-1483654271 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T15:14:24+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split":... | 2022-09-16T15:19:11+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: Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To r... | [
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dd8b911a18f8578bdc3a4009ce27af553ff6dd62 | # 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: MYX4567/distilbert-base-uncased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validatio... | autoevaluate/autoeval-eval-squad_v2-squad_v2-e15d25-1483654272 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T15:14:27+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "MYX4567/distilbert-base-uncased-finetuned-squad", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping":... | 2022-09-16T15:16:56+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: MYX4567/distilbert-base-uncased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit... | [
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ecd209ffe06e918e4c7e7ce8684640434697e830 | # 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: mathemakitten/opt-125m
* Dataset: autoevaluate/zero-shot-classification-sample
* Config: autoe... | autoevaluate/autoeval-eval-autoevaluate__zero-shot-classification-sample-autoevalu-912bbb-1484454284 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T16:55:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["autoevaluate/zero-shot-classification-sample"], "eval_info": {"task": "text_zero_shot_classification", "model": "mathemakitten/opt-125m", "metrics": [], "dataset_name": "autoevaluate/zero-shot-classification-sample", "dataset_config": "autoevalu... | 2022-09-16T16:56:15+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: mathemakitten/opt-125m
* Dataset: autoevaluate/zero-shot-classification-sample
* Config: autoevaluate--zero-shot-classification-sa... | [
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63a9e740124aeaed97c6cc48ed107b95833d7121 | # 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: mathemakitten/opt-125m
* Dataset: autoevaluate/zero-shot-classification-sample
* Config: autoe... | autoevaluate/autoeval-eval-autoevaluate__zero-shot-classification-sample-autoevalu-c3526e-1484354283 | [
"autotrain",
"evaluation",
"region:us"
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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: Zero-Shot Text Classification
* Model: mathemakitten/opt-125m
* Dataset: autoevaluate/zero-shot-classification-sample
* Config: autoevaluate--zero-shot-classification-sa... | [
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4f7cf75267bc4b751a03ed9f668350be69d9ce4a | # 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: chandrasutrisnotjhong/bert-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run... | autoevaluate/autoeval-eval-conll2003-conll2003-bc26c9-1485554291 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T19:21:31+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "chandrasutrisnotjhong/bert-finetuned-ner", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tokens", ... | 2022-09-16T19:22:45+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: chandrasutrisnotjhong/bert-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation jobs, visit Hugging ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: chandrasutrisnotjhong/bert-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n\nTo run new evaluation jobs,... | [
"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: Token Classification\n* Model: chandrasutrisnotjhong/bert-finetuned-ner\n* Dataset: conll2003\n* Config: conll20... | [
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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: Token Classification\n* Model: chandrasutrisnotjhong/bert-finetuned-ner\n* Dataset: conll2003\n* Config: conl... |
c816be36bf214a2b8ed525580d849ac7df0d2634 | # 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: baptiste/deberta-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evalu... | autoevaluate/autoeval-eval-conll2003-conll2003-bc26c9-1485554292 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T19:21:37+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "baptiste/deberta-finetuned-ner", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tokens", "tags": "n... | 2022-09-16T19:23:02+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: baptiste/deberta-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation jobs, visit Hugging Face's aut... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: baptiste/deberta-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n\nTo run new evaluation jobs, visit Hug... | [
"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: Token Classification\n* Model: baptiste/deberta-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* Spli... | [
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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: Token Classification\n* Model: baptiste/deberta-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* S... |
4c2a0ee535002890fffbd6b6a0fe8afc5bc2f6cf | # 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: mariolinml/roberta_large-ner-conll2003_0818_v0
* Dataset: conll2003
* Config: conll2003
* Split: test
... | autoevaluate/autoeval-eval-conll2003-conll2003-bc26c9-1485554294 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T19:21:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "mariolinml/roberta_large-ner-conll2003_0818_v0", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tok... | 2022-09-16T19:23:36+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: Token Classification
* Model: mariolinml/roberta_large-ner-conll2003_0818_v0
* Dataset: conll2003
* Config: conll2003
* 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: Token Classification\n* Model: mariolinml/roberta_large-ner-conll2003_0818_v0\n* Dataset: conll2003\n* Config: conll2003\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: Token Classification\n* Model: mariolinml/roberta_large-ner-conll2003_0818_v0\n* Dataset: conll2003\n* Config: c... | [
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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: Token Classification\n* Model: mariolinml/roberta_large-ner-conll2003_0818_v0\n* Dataset: conll2003\n* Config... |
5e2e4e90132c48d0b3e0afa6337a75225510eb8a | # 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: jjglilleberg/bert-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new eval... | autoevaluate/autoeval-eval-conll2003-conll2003-bc26c9-1485554295 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T19:21:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "jjglilleberg/bert-finetuned-ner", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tokens", "tags": "... | 2022-09-16T19:23:06+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: jjglilleberg/bert-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation jobs, visit Hugging Face's au... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: jjglilleberg/bert-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n\nTo run new evaluation jobs, visit Hu... | [
"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: Token Classification\n* Model: jjglilleberg/bert-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* Spl... | [
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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: Token Classification\n* Model: jjglilleberg/bert-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* ... |
2105a9d5dd2b3d9ca6f7a7d51c60455a31a40e2a | # 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: Yv/bert-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation job... | autoevaluate/autoeval-eval-conll2003-conll2003-bc26c9-1485554297 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T19:22:05+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "Yv/bert-finetuned-ner", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tokens", "tags": "ner_tags"}... | 2022-09-16T19:23:19+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: Yv/bert-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic mo... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Yv/bert-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face... | [
"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: Token Classification\n* Model: Yv/bert-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n... | [
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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: Token Classification\n* Model: Yv/bert-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* Split: tes... |
6d4a3c8d5c40bf818348fcef1f6147e947481fef | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: armandnlp/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* S... | autoevaluate/autoeval-eval-emotion-default-fe1aa0-1485654301 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T19:22:29+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "armandnlp/distilbert-base-uncased-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text"... | 2022-09-16T19:22:59+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: Multi-class Text Classification
* Model: armandnlp/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jo... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: armandnlp/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run ne... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: armandnlp/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotio... | [
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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: Multi-class Text Classification\n* Model: armandnlp/distilbert-base-uncased-finetuned-emotion\n* Dataset: emo... |
f009dc448491e5daf234a5e867b3fb012e366dc9 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: andreaschandra/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: defaul... | autoevaluate/autoeval-eval-emotion-default-fe1aa0-1485654303 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T19:22:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "andreaschandra/distilbert-base-uncased-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"... | 2022-09-16T19:23:06+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: Multi-class Text Classification
* Model: andreaschandra/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluati... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: andreaschandra/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo r... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: andreaschandra/distilbert-base-uncased-finetuned-emotion\n* Dataset: e... | [
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b42408bed4845eabbde9ec840f2c77be1ce455ae | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: bousejin/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Sp... | autoevaluate/autoeval-eval-emotion-default-fe1aa0-1485654304 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T19:22:48+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "bousejin/distilbert-base-uncased-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text":... | 2022-09-16T19:23:15+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: Multi-class Text Classification
* Model: bousejin/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation job... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: bousejin/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new... | [
"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: Multi-class Text Classification\n* Model: bousejin/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion... | [
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8f69a50e60bac11a0b2f12e5354f0678281aaf50 | # AutoTrain Dataset for project: consbert
## Dataset Description
This dataset has been automatically processed by AutoTrain for project consbert.
### 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
[
{
... | Chemsseddine/autotrain-data-consbert | [
"task_categories:text-classification",
"region:us"
] | 2022-09-16T20:00:22+00:00 | {"task_categories": ["text-classification"]} | 2022-09-16T20:03:18+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: consbert
=======================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project consbert.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Da... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
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"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (... | [
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55c4e0884053ad905c6ceccdff7e02e8a0d9c7b8 | # 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: autoevaluate/zero-shot-classification
* Dataset: Tristan/zero-shot-classification-large-test
*... | autoevaluate/autoeval-eval-Tristan__zero-shot-classification-large-test-Tristan__z-7873ce-1486054319 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-16T22:52:59+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Tristan/zero-shot-classification-large-test"], "eval_info": {"task": "text_zero_shot_classification", "model": "autoevaluate/zero-shot-classification", "metrics": [], "dataset_name": "Tristan/zero-shot-classification-large-test", "dataset_config... | 2022-09-16T23:43:54+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification
* Dataset: Tristan/zero-shot-classification-large-test
* Config: Tristan--zero-shot-classifi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: autoevaluate/zero-shot-classification\n* Dataset: Tristan/zero-shot-classification-large-test\n* Config: Tristan--zero-s... | [
"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: Zero-Shot Text Classification\n* Model: autoevaluate/zero-shot-classification\n* Dataset: Tristan/zero-shot-clas... | [
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35d2e5d9f41feed5ca053572780ad7263b060d96 | # 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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum
* Dataset: samsum
* Config: samsum
* Split: test
To run ... | autoevaluate/autoeval-eval-samsum-samsum-7cb0ac-1486354325 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-17T00:56:39+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialogue", "... | 2022-09-17T01:01:53+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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging F... | [
"# 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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum\n* Dataset: samsum\n* Config: samsum\n* Split: test\n\nTo run new evaluation jobs, ... | [
"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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum\n* Dataset: samsum\n* Config: samsu... | [
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834a9ec3ad3d01d96e9371cce33ce5a28a721102 | # 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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum
* Dataset: samsum
* Config: samsum
* Split: train
To run... | autoevaluate/autoeval-eval-samsum-samsum-2c3c14-1486454326 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-17T00:56:42+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "train", "col_mapping": {"text": "dialogue", ... | 2022-09-17T01:46:32+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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum
* Dataset: samsum
* Config: samsum
* Split: train
To run new evaluation jobs, visit Hugging ... | [
"# 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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum\n* Dataset: samsum\n* Config: samsum\n* Split: train\n\nTo run new evaluation jobs,... | [
"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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum\n* Dataset: samsum\n* Config: samsu... | [
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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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum\n* Dataset: samsum\n* Config: sa... |
7f5976b44f8b7f02b192b65fd7163c1a5a969940 | # 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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum
* Dataset: samsum
* Config: samsum
* Split: validation
T... | autoevaluate/autoeval-eval-samsum-samsum-1bb2ba-1486554327 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-17T00:56:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "validation", "col_mapping": {"text": "dialog... | 2022-09-17T01:02:01+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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visit Hug... | [
"# 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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum\n* Dataset: samsum\n* Config: samsum\n* Split: validation\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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum\n* Dataset: samsum\n* Config: samsu... | [
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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: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum\n* Dataset: samsum\n* Config: sa... |
a26e48dc333aa4403237068028ac612fe2e9581f | # AutoTrain Dataset for project: opus-mt-en-zh_hanz
## Dataset Description
This dataset has been automatically processed by AutoTrain for project opus-mt-en-zh_hanz.
### Languages
The BCP-47 code for the dataset's language is en2zh.
## Dataset Structure
### Data Instances
A sample from this dataset looks as foll... | darcy01/autotrain-data-opus-mt-en-zh_hanz | [
"task_categories:translation",
"language:en",
"language:zh",
"region:us"
] | 2022-09-17T07:52:21+00:00 | {"language": ["en", "zh"], "task_categories": ["translation"]} | 2022-09-17T10:36:03+00:00 | [] | [
"en",
"zh"
] | TAGS
#task_categories-translation #language-English #language-Chinese #region-us
| AutoTrain Dataset for project: opus-mt-en-zh\_hanz
==================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project opus-mt-en-zh\_hanz.
### Languages
The BCP-47 code for the dataset's language is en2zh.
Dataset S... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en2zh.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis... | [
"TAGS\n#task_categories-translation #language-English #language-Chinese #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en2zh.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe data... | [
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"passage: TAGS\n#task_categories-translation #language-English #language-Chinese #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is en2zh.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has t... |
f8d2cc4cbdeb4b666ef8342830bcb6525ba09fbb |
# Dataset Card for **slone/myv_ru_2022**
## Dataset Description
- **Repository:** https://github.com/slone-nlp/myv-nmt
- **Paper:**: https://arxiv.org/abs/2209.09368
- **Point of Contact:** @cointegrated
### Dataset Summary
This is a corpus of parallel Erzya-Russian words, phrases and sentences, collected in the p... | slone/myv_ru_2022 | [
"task_categories:translation",
"annotations_creators:found",
"annotations_creators:machine-generated",
"language_creators:found",
"language_creators:machine-generated",
"multilinguality:translation",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:myv",
"language:ru",
"licens... | 2022-09-17T12:53:23+00:00 | {"annotations_creators": ["found", "machine-generated"], "language_creators": ["found", "machine-generated"], "language": ["myv", "ru"], "license": ["cc-by-sa-4.0"], "multilinguality": ["translation"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": []... | 2022-09-28T18:38:26+00:00 | [
"2209.09368"
] | [
"myv",
"ru"
] | TAGS
#task_categories-translation #annotations_creators-found #annotations_creators-machine-generated #language_creators-found #language_creators-machine-generated #multilinguality-translation #size_categories-10K<n<100K #source_datasets-original #language-Erzya #language-Russian #license-cc-by-sa-4.0 #erzya #mordovian... | Dataset Card for slone/myv\_ru\_2022
====================================
Dataset Description
-------------------
* Repository: URL
* Paper:: URL
* Point of Contact: @cointegrated
### Dataset Summary
This is a corpus of parallel Erzya-Russian words, phrases and sentences, collected in the paper The first neural... | [
"### Dataset Summary\n\n\nThis is a corpus of parallel Erzya-Russian words, phrases and sentences, collected in the paper The first neural machine translation system for the Erzya language.\n\n\nErzya ('myv') is a language from the Uralic family. It is spoken primarily in the Republic of Mordovia and some other reg... | [
"TAGS\n#task_categories-translation #annotations_creators-found #annotations_creators-machine-generated #language_creators-found #language_creators-machine-generated #multilinguality-translation #size_categories-10K<n<100K #source_datasets-original #language-Erzya #language-Russian #license-cc-by-sa-4.0 #erzya #mor... | [
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61,
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186,
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dbfe82d9d01c08ca01e402d466e1ac817bdbb182 | 256x256 mel spectrograms of 5 second samples of instrumental Hip Hop. The code to convert from audio to spectrogram and vice versa can be found in https://github.com/teticio/audio-diffusion along with scripts to train and run inference using De-noising Diffusion Probabilistic Models.
```
x_res = 256
y_res = 256
sample... | teticio/audio-diffusion-instrumental-hiphop-256 | [
"task_categories:image-to-image",
"size_categories:10K<n<100K",
"audio",
"spectrograms",
"region:us"
] | 2022-09-17T13:06:30+00:00 | {"annotations_creators": [], "language_creators": [], "language": [], "license": [], "multilinguality": [], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["image-to-image"], "task_ids": [], "pretty_name": "Mel spectrograms of instrumental Hip Hop music", "tags": ["audio", "spectrograms"]} | 2022-11-09T10:50:58+00:00 | [] | [] | TAGS
#task_categories-image-to-image #size_categories-10K<n<100K #audio #spectrograms #region-us
| 256x256 mel spectrograms of 5 second samples of instrumental Hip Hop. The code to convert from audio to spectrogram and vice versa can be found in URL along with scripts to train and run inference using De-noising Diffusion Probabilistic Models.
| [] | [
"TAGS\n#task_categories-image-to-image #size_categories-10K<n<100K #audio #spectrograms #region-us \n"
] | [
38
] | [
"passage: TAGS\n#task_categories-image-to-image #size_categories-10K<n<100K #audio #spectrograms #region-us \n"
] |
9f7a6cacd22203e821ffdb3470f1575eb71eedc5 |
# Korpus-frazennou-brezhonek
Corpus de 4532 phrases bilingues (français-breton) alignées et libres de droits provenant de l'Office Public de la Langue Bretonne.
Plus d'informations [ici](https://www.fr.brezhoneg.bzh/212-donnees-libres-de-droits.htm)
# Usage
```
from datasets import load_dataset
dataset = load_data... | bzh-dataset/Korpus-frazennou-brezhonek | [
"language:fr",
"language:br",
"license:unknown",
"region:us"
] | 2022-09-17T19:58:22+00:00 | {"language": ["fr", "br"], "license": "unknown"} | 2022-09-17T20:26:30+00:00 | [] | [
"fr",
"br"
] | TAGS
#language-French #language-Breton #license-unknown #region-us
|
# Korpus-frazennou-brezhonek
Corpus de 4532 phrases bilingues (français-breton) alignées et libres de droits provenant de l'Office Public de la Langue Bretonne.
Plus d'informations ici
# Usage
| [
"# Korpus-frazennou-brezhonek \n\nCorpus de 4532 phrases bilingues (français-breton) alignées et libres de droits provenant de l'Office Public de la Langue Bretonne.\nPlus d'informations ici",
"# Usage"
] | [
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"# Korpus-frazennou-brezhonek \n\nCorpus de 4532 phrases bilingues (français-breton) alignées et libres de droits provenant de l'Office Public de la Langue Bretonne.\nPlus d'informations ici",
"# Usage"
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"passage: TAGS\n#language-French #language-Breton #license-unknown #region-us \n# Korpus-frazennou-brezhonek \n\nCorpus de 4532 phrases bilingues (français-breton) alignées et libres de droits provenant de l'Office Public de la Langue Bretonne.\nPlus d'informations ici# Usage"
] |
493d1d86e7977892b60f8eeb901a10fe84fd1fc7 |
## Dataset Description
FBAnimeHQ is a dataset with high-quality full-body anime girl images in a resolution of 1024 Γ 512.
### Dataset Summary
The dataset contains 112,806 images.
All images are on white background
### Collection Method
#### v1.0
Collect from danbooru website.
Use yolov5 to detect and clip imag... | skytnt/fbanimehq | [
"task_categories:unconditional-image-generation",
"size_categories:100K<n<1M",
"source_datasets:original",
"license:cc0-1.0",
"region:us"
] | 2022-09-18T00:01:43+00:00 | {"annotations_creators": [], "language_creators": [], "language": [], "license": ["cc0-1.0"], "multilinguality": [], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["unconditional-image-generation"], "task_ids": [], "pretty_name": "Full Body Anime HQ", "tags": []} | 2022-10-23T13:02:23+00:00 | [] | [] | TAGS
#task_categories-unconditional-image-generation #size_categories-100K<n<1M #source_datasets-original #license-cc0-1.0 #region-us
|
## Dataset Description
FBAnimeHQ is a dataset with high-quality full-body anime girl images in a resolution of 1024 Γ 512.
### Dataset Summary
The dataset contains 112,806 images.
All images are on white background
### Collection Method
#### v1.0
Collect from danbooru website.
Use yolov5 to detect and clip imag... | [
"## Dataset Description\n\nFBAnimeHQ is a dataset with high-quality full-body anime girl images in a resolution of 1024 Γ 512.",
"### Dataset Summary\n\nThe dataset contains 112,806 images.\n\nAll images are on white background",
"### Collection Method",
"#### v1.0\nCollect from danbooru website.\n\nUse yolov... | [
"TAGS\n#task_categories-unconditional-image-generation #size_categories-100K<n<1M #source_datasets-original #license-cc0-1.0 #region-us \n",
"## Dataset Description\n\nFBAnimeHQ is a dataset with high-quality full-body anime girl images in a resolution of 1024 Γ 512.",
"### Dataset Summary\n\nThe dataset contai... | [
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"passage: TAGS\n#task_categories-unconditional-image-generation #size_categories-100K<n<1M #source_datasets-original #license-cc0-1.0 #region-us \n## Dataset Description\n\nFBAnimeHQ is a dataset with high-quality full-body anime girl images in a resolution of 1024 Γ 512.### Dataset Summary\n\nThe dataset contains ... |
4199328f25c6d3de0e783797426affa11dbbf348 |
# Please cite as
```
@InProceedings{Spinde2021f,
title = "Neural Media Bias Detection Using Distant Supervision With {BABE} - Bias Annotations By Experts",
author = "Spinde, Timo and
Plank, Manuel and
Krieger, Jan-David and
Ruas, Terry and
Gipp, Bela and
Aizawa, Akiko",
b... | mediabiasgroup/BABE | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-09-18T02:18:38+00:00 | {"license": "cc-by-nc-sa-4.0"} | 2023-08-23T04:24:17+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
# Please cite as
| [
"# Please cite as"
] | [
"TAGS\n#license-cc-by-nc-sa-4.0 #region-us \n",
"# Please cite as"
] | [
19,
4
] | [
"passage: TAGS\n#license-cc-by-nc-sa-4.0 #region-us \n# Please cite as"
] |
6b1af94c41e300f43a41ec578499df68033f6b14 | prem | premhuggingface/prem | [
"region:us"
] | 2022-09-18T07:49:31+00:00 | {} | 2022-09-18T07:50:31+00:00 | [] | [] | TAGS
#region-us
| prem | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
d816d4a05cb89bde39dd99284c459801e1e7e69a |
# Stable Diffusion Dataset
This is a set of about 80,000 prompts filtered and extracted from the image finder for Stable Diffusion: "[Lexica.art](https://lexica.art/)". It was a little difficult to extract the data, since the search engine still doesn't have a public API without being protected by cloudflare.
If you... | Gustavosta/Stable-Diffusion-Prompts | [
"annotations_creators:no-annotation",
"language_creators:found",
"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | 2022-09-18T11:13:15+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "source_datasets": ["original"]} | 2022-09-18T21:38:59+00:00 | [] | [
"en"
] | TAGS
#annotations_creators-no-annotation #language_creators-found #source_datasets-original #language-English #license-unknown #region-us
|
# Stable Diffusion Dataset
This is a set of about 80,000 prompts filtered and extracted from the image finder for Stable Diffusion: "URL". It was a little difficult to extract the data, since the search engine still doesn't have a public API without being protected by cloudflare.
If you want to test the model with a... | [
"# Stable Diffusion Dataset\n\nThis is a set of about 80,000 prompts filtered and extracted from the image finder for Stable Diffusion: \"URL\". It was a little difficult to extract the data, since the search engine still doesn't have a public API without being protected by cloudflare.\n\nIf you want to test the mo... | [
"TAGS\n#annotations_creators-no-annotation #language_creators-found #source_datasets-original #language-English #license-unknown #region-us \n",
"# Stable Diffusion Dataset\n\nThis is a set of about 80,000 prompts filtered and extracted from the image finder for Stable Diffusion: \"URL\". It was a little difficul... | [
46,
133
] | [
"passage: TAGS\n#annotations_creators-no-annotation #language_creators-found #source_datasets-original #language-English #license-unknown #region-us \n# Stable Diffusion Dataset\n\nThis is a set of about 80,000 prompts filtered and extracted from the image finder for Stable Diffusion: \"URL\". It was a little diffi... |
61a5b55d423a65338145f63a0247e2d1c0552cd0 | A sampled version of the [CCMatrix](https://huggingface.co/datasets/yhavinga/ccmatrix) dataset for the English-Romanian pair, containing 1M train entries.
Please refer to the original for more info. | din0s/ccmatrix_en-ro | [
"task_categories:translation",
"multilinguality:translation",
"size_categories:100K<n<1M",
"language:en",
"language:ro",
"region:us"
] | 2022-09-18T11:44:19+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en", "ro"], "license": [], "multilinguality": ["translation"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["translation"], "task_ids": [], "pretty_name": "CCMatrix (en-ro)", "tags": []} | 2022-09-19T21:42:56+00:00 | [] | [
"en",
"ro"
] | TAGS
#task_categories-translation #multilinguality-translation #size_categories-100K<n<1M #language-English #language-Romanian #region-us
| A sampled version of the CCMatrix dataset for the English-Romanian pair, containing 1M train entries.
Please refer to the original for more info. | [] | [
"TAGS\n#task_categories-translation #multilinguality-translation #size_categories-100K<n<1M #language-English #language-Romanian #region-us \n"
] | [
43
] | [
"passage: TAGS\n#task_categories-translation #multilinguality-translation #size_categories-100K<n<1M #language-English #language-Romanian #region-us \n"
] |
4a08d21e2e71ce0106721aa1c3bca936049fccf6 | The Victoria electricity demand dataset from the [MAPIE github repository](https://github.com/scikit-learn-contrib/MAPIE/tree/master/examples/data).
It consists of hourly electricity demand (in GW)
of the Victoria state in Australia together with the temperature
(in Celsius degrees).
| rajistics/electricity_demand | [
"task_categories:time-series-forecasting",
"region:us"
] | 2022-09-18T18:06:12+00:00 | {"task_categories": ["time-series-forecasting"]} | 2022-10-19T20:03:02+00:00 | [] | [] | TAGS
#task_categories-time-series-forecasting #region-us
| The Victoria electricity demand dataset from the MAPIE github repository.
It consists of hourly electricity demand (in GW)
of the Victoria state in Australia together with the temperature
(in Celsius degrees).
| [] | [
"TAGS\n#task_categories-time-series-forecasting #region-us \n"
] | [
21
] | [
"passage: TAGS\n#task_categories-time-series-forecasting #region-us \n"
] |
c53dad48e14e0df066905a4e4bd5893b9e790e49 |
# Mario Maker 2 levels
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 levels dataset consists of 26.6 million levels from Nintendo's online service totaling around 100GB of data. The dataset was created using the self-hosted [M... | TheGreatRambler/mm2_level | [
"task_categories:other",
"task_categories:object-detection",
"task_categories:text-retrieval",
"task_categories:token-classification",
"task_categories:text-generation",
"multilinguality:multilingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:multilingual",
"license:cc-b... | 2022-09-18T19:15:00+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Mak... | 2022-11-11T08:07:34+00:00 | [] | [
"multilingual"
] | TAGS
#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-10M<n<100M #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mining #region-us... | Mario Maker 2 levels
====================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 levels dataset consists of 26.6 million levels from Nintendo's online service totaling around 100GB of data. The dataset was created using the self-hosted Mario Maker 2 ... | [
"### How to use it\n\n\nThe Mario Maker 2 levels dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nLevel data is a binary blob describing the actual level and is equivalen... | [
"TAGS\n#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-10M<n<100M #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mining #reg... | [
112,
181,
6,
886,
200
] | [
"passage: TAGS\n#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-10M<n<100M #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mi... |
e1ded9a5fb0f1d052d0a7a44ec46f79a4b27903a |
# Mario Maker 2 level comments
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 level comment dataset consists of 31.9 million level comments from Nintendo's online service totaling around 20GB of data. The dataset was created us... | TheGreatRambler/mm2_level_comments | [
"task_categories:other",
"task_categories:object-detection",
"task_categories:text-retrieval",
"task_categories:token-classification",
"task_categories:text-generation",
"multilinguality:multilingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:multilingual",
"license:cc-b... | 2022-09-18T19:15:48+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Mak... | 2022-11-11T08:06:48+00:00 | [] | [
"multilingual"
] | TAGS
#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-10M<n<100M #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mining #region-us... | Mario Maker 2 level comments
============================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
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The Mario Maker 2 level comment dataset consists of 31.9 million level comments from Nintendo's online service totaling around 20GB of data. The dataset was created using ... | [
"### How to use it\n\n\nThe Mario Maker 2 level comment dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nComments can be one of three types: text, reaction image or custo... | [
"TAGS\n#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-10M<n<100M #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mining #reg... | [
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"passage: TAGS\n#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-10M<n<100M #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mi... |
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