sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8c35b13454d43f2319e368f1fe7c97a878af4c46 | # 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: Luciano/bertimbau-base-lener-br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: trai... | autoevaluate/autoeval-staging-eval-lener_br-lener_br-f0f34b-15626154 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-05T04:06:25+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "Luciano/bertimbau-base-lener-br-finetuned-lener-br", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "train", "col_mapping": {"tokens": "t... | 2022-09-05T04:09:08+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: Luciano/bertimbau-base-lener-br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new evaluation jobs, visit... | [
"# 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: Luciano/bertimbau-base-lener-br-finetuned-lener-br\n* Dataset: lener_br\n* Config: lener_br\n* Split: train\n\nTo run new evaluat... | [
"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: Luciano/bertimbau-base-lener-br-finetuned-lener-br\n* Dataset: lener_br\n* Config... | [
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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: Luciano/bertimbau-base-lener-br-finetuned-lener-br\n* Dataset: lener_br\n* Con... |
4022c7affe48f8cf58cc541414c0a35a5eadd6d8 | # 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_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: validati... | autoevaluate/autoeval-staging-eval-samsum-samsum-e82d51-15636155 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-05T05:33:35+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": ["mse", "mae"], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "validation", "col_mapping":... | 2022-09-05T05:37:40+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_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visi... | [
"# 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_tuned_for_sum\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\nTo run new evalua... | [
"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_tuned_for_sum\n* Dataset: samsum\n* Config: ... | [
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e0b1e4d497fe81cad3e4695ae1c6c5ca7d64656d | # AutoTrain Dataset for project: satellite-image-classification
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project satellite-image-classification.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this... | victor/autotrain-data-satellite-image-classification | [
"task_categories:image-classification",
"region:us"
] | 2022-09-05T07:58:49+00:00 | {"task_categories": ["image-classification"]} | 2022-09-05T08:30:13+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: satellite-image-classification
=============================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project satellite-image-classification.
### Languages
The BCP-47 code for the dataset... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
"TAGS\n#task_categories-image-classification #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields ... | [
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"passage: TAGS\n#task_categories-image-classification #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also cal... |
93c9ef572004a518c936aa13d9afbfd05b710aea |
NOTE: All this data, plus a lot more, is now accessible at https://console.cloud.google.com/marketplace/product/bigquery-public-data/eumetsat-seviri-rss-hrv-uk?project=tactile-acrobat-249716
That dataset is the preferred way to access this data, as it goes back to the beginning of the RSS archive (2008-2023) and is ... | openclimatefix/eumetsat-rss | [
"size_categories:1K<n<10K",
"license:other",
"climate",
"doi:10.57967/hf/1488",
"region:us"
] | 2022-09-05T08:25:53+00:00 | {"license": "other", "size_categories": ["1K<n<10K"], "tags": ["climate"]} | 2024-02-17T17:37:41+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-other #climate #doi-10.57967/hf/1488 #region-us
|
NOTE: All this data, plus a lot more, is now accessible at URL
That dataset is the preferred way to access this data, as it goes back to the beginning of the RSS archive (2008-2023) and is updated on a roughly weekly basis.
This dataset consists of the EUMETSAT Rapid Scan Service (RSS) imagery for 2014 to Feb 2023... | [] | [
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] | [
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] |
0d5751865d26618e2141fe0aecf06477d93d0955 | # ADE-Corpus-V2 Dataset: Adverse Drug Reaction Data.
This is a dataset for classification if a sentence is ADE-related (True) or not (False).
**Train size: 17,637**
**Test size: 5,879**
[Source dataset](https://huggingface.co/datasets/ade_corpus_v2)
[Paper](https://www.sciencedirect.com/science/article/pii/S1532046... | SetFit/ade_corpus_v2_classification | [
"region:us"
] | 2022-09-05T10:20:19+00:00 | {} | 2022-09-05T13:14:53+00:00 | [] | [] | TAGS
#region-us
| # ADE-Corpus-V2 Dataset: Adverse Drug Reaction Data.
This is a dataset for classification if a sentence is ADE-related (True) or not (False).
Train size: 17,637
Test size: 5,879
Source dataset
Paper
| [
"# ADE-Corpus-V2 Dataset: Adverse Drug Reaction Data.\nThis is a dataset for classification if a sentence is ADE-related (True) or not (False).\n\nTrain size: 17,637\n\nTest size: 5,879\n\nSource dataset\n\nPaper"
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] |
6df1024387c78af81538a7223c70a8101c61d6aa |
# Dataset Card for Europarl v7 (en-it split)
This dataset contains only the English-Italian split of Europarl v7.
We created the dataset to provide it to the [M2L 2022 Summer School](https://www.m2lschool.org/) students.
For all the information on the dataset, please refer to: [https://www.statmt.org/europarl/](http... | g8a9/europarl_en-it | [
"task_categories:translation",
"multilinguality:monolingual",
"multilinguality:translation",
"language:en",
"language:it",
"license:unknown",
"region:us"
] | 2022-09-05T12:53:46+00:00 | {"language": ["en", "it"], "license": ["unknown"], "multilinguality": ["monolingual", "translation"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "Europarl v7 (en-it split)", "tags": []} | 2022-09-07T09:14:04+00:00 | [] | [
"en",
"it"
] | TAGS
#task_categories-translation #multilinguality-monolingual #multilinguality-translation #language-English #language-Italian #license-unknown #region-us
|
# Dataset Card for Europarl v7 (en-it split)
This dataset contains only the English-Italian split of Europarl v7.
We created the dataset to provide it to the M2L 2022 Summer School students.
For all the information on the dataset, please refer to: URL
## Dataset Structure
### Data Fields
- sent_en: English tran... | [
"# Dataset Card for Europarl v7 (en-it split)\n\nThis dataset contains only the English-Italian split of Europarl v7.\nWe created the dataset to provide it to the M2L 2022 Summer School students.\n\nFor all the information on the dataset, please refer to: URL",
"## Dataset Structure",
"### Data Fields\n\n- sent... | [
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ffb979b8a8247b442ec3adcf5fb83d3fff562f55 | # Battery Device QA Data
Battery device records, including anode, cathode, and electrolyte.
Examples of the question answering evaluation dataset:
\{'question': 'What is the cathode?', 'answer': 'Al foil', 'context': 'The blended slurry was then cast onto a clean current collector (Al foil for the cathode and Cu fo... | batterydata/battery-device-data-qa | [
"task_categories:question-answering",
"language:en",
"license:apache-2.0",
"region:us"
] | 2022-09-05T14:30:32+00:00 | {"language": ["en"], "license": ["apache-2.0"], "task_categories": ["question-answering"], "pretty_name": "Battery Device Question Answering Dataset"} | 2023-11-06T12:50:19+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #language-English #license-apache-2.0 #region-us
| # Battery Device QA Data
Battery device records, including anode, cathode, and electrolyte.
Examples of the question answering evaluation dataset:
\{'question': 'What is the cathode?', 'answer': 'Al foil', 'context': 'The blended slurry was then cast onto a clean current collector (Al foil for the cathode and Cu fo... | [
"# Battery Device QA Data\n\nBattery device records, including anode, cathode, and electrolyte.\n\nExamples of the question answering evaluation dataset: \n\n\\{'question': 'What is the cathode?', 'answer': 'Al foil', 'context': 'The blended slurry was then cast onto a clean current collector (Al foil for the catho... | [
"TAGS\n#task_categories-question-answering #language-English #license-apache-2.0 #region-us \n",
"# Battery Device QA Data\n\nBattery device records, including anode, cathode, and electrolyte.\n\nExamples of the question answering evaluation dataset: \n\n\\{'question': 'What is the cathode?', 'answer': 'Al foil',... | [
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cbed321f16868443449817bad5f6ef18b64030e7 |
# diffusers metrics
This dataset contains metrics about the huggingface/diffusers package.
Number of repositories in the dataset: 160
Number of packages in the dataset: 2
## Package dependents
This contains the data available in the [used-by](https://github.com/huggingface/diffusers/network/dependents)
tab on GitH... | open-source-metrics/diffusers-dependents | [
"license:apache-2.0",
"github-stars",
"region:us"
] | 2022-09-05T14:31:32+00:00 | {"license": "apache-2.0", "pretty_name": "diffusers metrics", "tags": ["github-stars"], "dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "stars", "dtype": "int64"}, {"name": "forks", "dtype": "int64"}], "splits": [{"name": "package", "num_bytes": 2680, "num_examples": 62}, {"name": "repositor... | 2024-02-16T22:46:05+00:00 | [] | [] | TAGS
#license-apache-2.0 #github-stars #region-us
| diffusers metrics
=================
This dataset contains metrics about the huggingface/diffusers package.
Number of repositories in the dataset: 160
Number of packages in the dataset: 2
Package dependents
------------------
This contains the data available in the used-by
tab on GitHub.
### Package & Reposito... | [
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 0 packages that have more than 1000 stars.\n\n\nThere are 3 repositories that have more than 1000 stars.\n\n\nThe top 10 in each category are the following:\n\n\n*Package*\n\n\nJoaoLage... | [
"TAGS\n#license-apache-2.0 #github-stars #region-us \n",
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 0 packages that have more than 1000 stars.\n\n\nThere are 3 repositories that have more than 1000 stars.\n\n\nThe top 10 in ea... | [
20,
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] | [
"passage: TAGS\n#license-apache-2.0 #github-stars #region-us \n### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 0 packages that have more than 1000 stars.\n\n\nThere are 3 repositories that have more than 1000 stars.\n\n\nThe top 10 in... |
91df9fbf9146c843ed3ab32c72fa64ba6b34a28f |
# accelerate metrics
This dataset contains metrics about the huggingface/accelerate package.
Number of repositories in the dataset: 727
Number of packages in the dataset: 37
## Package dependents
This contains the data available in the [used-by](https://github.com/huggingface/accelerate/network/dependents)
tab on ... | open-source-metrics/accelerate-dependents | [
"license:apache-2.0",
"github-stars",
"region:us"
] | 2022-09-05T14:32:37+00:00 | {"license": "apache-2.0", "pretty_name": "accelerate metrics", "tags": ["github-stars"], "dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "stars", "dtype": "int64"}, {"name": "forks", "dtype": "int64"}], "splits": [{"name": "package", "num_bytes": 4874, "num_examples": 116}, {"name": "reposit... | 2024-02-16T19:02:17+00:00 | [] | [] | TAGS
#license-apache-2.0 #github-stars #region-us
| accelerate metrics
==================
This dataset contains metrics about the huggingface/accelerate package.
Number of repositories in the dataset: 727
Number of packages in the dataset: 37
Package dependents
------------------
This contains the data available in the used-by
tab on GitHub.
### Package & Repo... | [
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 10 packages that have more than 1000 stars.\n\n\nThere are 16 repositories that have more than 1000 stars.\n\n\nThe top 10 in each category are the following:\n\n\n*Package*\n\n\nhuggin... | [
"TAGS\n#license-apache-2.0 #github-stars #region-us \n",
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 10 packages that have more than 1000 stars.\n\n\nThere are 16 repositories that have more than 1000 stars.\n\n\nThe top 10 in ... | [
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"passage: TAGS\n#license-apache-2.0 #github-stars #region-us \n### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 10 packages that have more than 1000 stars.\n\n\nThere are 16 repositories that have more than 1000 stars.\n\n\nThe top 10 ... |
7fb91ea38e6b089b6488c0648b92a9f80f5f6594 |
# evaluate metrics
This dataset contains metrics about the huggingface/evaluate package.
Number of repositories in the dataset: 106
Number of packages in the dataset: 3
## Package dependents
This contains the data available in the [used-by](https://github.com/huggingface/evaluate/network/dependents)
tab on GitHub.... | open-source-metrics/evaluate-dependents | [
"license:apache-2.0",
"github-stars",
"region:us"
] | 2022-09-05T14:33:19+00:00 | {"license": "apache-2.0", "pretty_name": "evaluate metrics", "tags": ["github-stars"], "dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "stars", "dtype": "int64"}, {"name": "forks", "dtype": "int64"}], "splits": [{"name": "package", "num_bytes": 1830, "num_examples": 45}, {"name": "repository... | 2024-02-16T18:19:33+00:00 | [] | [] | TAGS
#license-apache-2.0 #github-stars #region-us
| evaluate metrics
================
This dataset contains metrics about the huggingface/evaluate package.
Number of repositories in the dataset: 106
Number of packages in the dataset: 3
Package dependents
------------------
This contains the data available in the used-by
tab on GitHub.
### Package & Repository ... | [
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 1 packages that have more than 1000 stars.\n\n\nThere are 2 repositories that have more than 1000 stars.\n\n\nThe top 10 in each category are the following:\n\n\n*Package*\n\n\nhuggingf... | [
"TAGS\n#license-apache-2.0 #github-stars #region-us \n",
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 1 packages that have more than 1000 stars.\n\n\nThere are 2 repositories that have more than 1000 stars.\n\n\nThe top 10 in ea... | [
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a70617c7ceb76742b60748626733a425d6aad03a |
# optimum metrics
This dataset contains metrics about the huggingface/optimum package.
Number of repositories in the dataset: 19
Number of packages in the dataset: 6
## Package dependents
This contains the data available in the [used-by](https://github.com/huggingface/optimum/network/dependents)
tab on GitHub.
##... | open-source-metrics/optimum-dependents | [
"license:apache-2.0",
"github-stars",
"region:us"
] | 2022-09-05T14:33:37+00:00 | {"license": "apache-2.0", "pretty_name": "optimum metrics", "tags": ["github-stars"], "dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "stars", "dtype": "int64"}, {"name": "forks", "dtype": "int64"}], "splits": [{"name": "package", "num_bytes": 555, "num_examples": 13}, {"name": "repository",... | 2024-02-16T20:08:08+00:00 | [] | [] | TAGS
#license-apache-2.0 #github-stars #region-us
| optimum metrics
===============
This dataset contains metrics about the huggingface/optimum package.
Number of repositories in the dataset: 19
Number of packages in the dataset: 6
Package dependents
------------------
This contains the data available in the used-by
tab on GitHub.
### Package & Repository star... | [
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 0 packages that have more than 1000 stars.\n\n\nThere are 0 repositories that have more than 1000 stars.\n\n\nThe top 10 in each category are the following:\n\n\n*Package*\n\n\nSeldonIO... | [
"TAGS\n#license-apache-2.0 #github-stars #region-us \n",
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 0 packages that have more than 1000 stars.\n\n\nThere are 0 repositories that have more than 1000 stars.\n\n\nThe top 10 in ea... | [
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"passage: TAGS\n#license-apache-2.0 #github-stars #region-us \n### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 0 packages that have more than 1000 stars.\n\n\nThere are 0 repositories that have more than 1000 stars.\n\n\nThe top 10 in... |
3baed3ff5e5357ef7362130470d47ca0fb92f29b |
# tokenizers metrics
This dataset contains metrics about the huggingface/tokenizers package.
Number of repositories in the dataset: 11460
Number of packages in the dataset: 124
## Package dependents
This contains the data available in the [used-by](https://github.com/huggingface/tokenizers/network/dependents)
tab ... | open-source-metrics/tokenizers-dependents | [
"license:apache-2.0",
"github-stars",
"region:us"
] | 2022-09-05T14:34:23+00:00 | {"license": "apache-2.0", "pretty_name": "tokenizers metrics", "tags": ["github-stars"], "dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "stars", "dtype": "int64"}, {"name": "forks", "dtype": "int64"}], "splits": [{"name": "package", "num_bytes": 95, "num_examples": 2}, {"name": "repository"... | 2024-02-16T22:31:58+00:00 | [] | [] | TAGS
#license-apache-2.0 #github-stars #region-us
| tokenizers metrics
==================
This dataset contains metrics about the huggingface/tokenizers package.
Number of repositories in the dataset: 11460
Number of packages in the dataset: 124
Package dependents
------------------
This contains the data available in the used-by
tab on GitHub.
### Package & R... | [
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 14 packages that have more than 1000 stars.\n\n\nThere are 41 repositories that have more than 1000 stars.\n\n\nThe top 10 in each category are the following:\n\n\n*Package*\n\n\nhuggin... | [
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f90059cc985dd576947151f36883ca3607f2a195 |
# datasets metrics
This dataset contains metrics about the huggingface/datasets package.
Number of repositories in the dataset: 4997
Number of packages in the dataset: 215
## Package dependents
This contains the data available in the [used-by](https://github.com/huggingface/datasets/network/dependents)
tab on GitH... | open-source-metrics/datasets-dependents | [
"license:apache-2.0",
"github-stars",
"region:us"
] | 2022-09-05T14:38:22+00:00 | {"license": "apache-2.0", "pretty_name": "datasets metrics", "tags": ["github-stars"], "dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "stars", "dtype": "int64"}, {"name": "forks", "dtype": "int64"}], "splits": [{"name": "package", "num_bytes": 15485, "num_examples": 376}, {"name": "reposito... | 2024-02-16T20:05:31+00:00 | [] | [] | TAGS
#license-apache-2.0 #github-stars #region-us
| datasets metrics
================
This dataset contains metrics about the huggingface/datasets package.
Number of repositories in the dataset: 4997
Number of packages in the dataset: 215
Package dependents
------------------
This contains the data available in the used-by
tab on GitHub.
### Package & Reposito... | [
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 22 packages that have more than 1000 stars.\n\n\nThere are 43 repositories that have more than 1000 stars.\n\n\nThe top 10 in each category are the following:\n\n\n*Package*\n\n\nhuggin... | [
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4cae50882a24a955155db7d170b571e93ab8102f |
# POS Tagging Dataset
## Original Data Source
#### Conll2003
E. F. Tjong Kim Sang and F. De Meulder, Proceedings of the
Seventh Conference on Natural Language Learning at HLT-
NAACL 2003, 2003, pp. 142–147.
#### The Peen Treebank
M. P. Marcus, B. Santorini and M. A. Marcinkiewicz, Comput.
Linguist., 1993, 19, 313–... | batterydata/pos_tagging | [
"task_categories:token-classification",
"language:en",
"license:apache-2.0",
"region:us"
] | 2022-09-05T14:44:21+00:00 | {"language": ["en"], "license": ["apache-2.0"], "task_categories": ["token-classification"], "pretty_name": "Part-of-speech(POS) Tagging Dataset for BatteryDataExtractor"} | 2022-09-05T15:05:33+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #language-English #license-apache-2.0 #region-us
|
# POS Tagging Dataset
## Original Data Source
#### Conll2003
E. F. Tjong Kim Sang and F. De Meulder, Proceedings of the
Seventh Conference on Natural Language Learning at HLT-
NAACL 2003, 2003, pp. 142–147.
#### The Peen Treebank
M. P. Marcus, B. Santorini and M. A. Marcinkiewicz, Comput.
Linguist., 1993, 19, 313–... | [
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39190a2140c5fc237fed556ef88449015271850b |
# Abbreviation Detection Dataset
## Original Data Source
#### PLOS
I. Zilio, H. Saadany, P. Sharma, D. Kanojia and C. Orasan,
PLOD: An Abbreviation Detection Dataset for Scientific Docu-
ments, 2022, https://arxiv.org/abs/2204.12061.
#### SDU@AAAI-21
A. P. B. Veyseh, F. Dernoncourt, Q. H. Tran and T. H. Nguyen,
Pr... | batterydata/abbreviation_detection | [
"task_categories:token-classification",
"language:en",
"license:apache-2.0",
"arxiv:2204.12061",
"region:us"
] | 2022-09-05T14:46:13+00:00 | {"language": ["en"], "license": ["apache-2.0"], "task_categories": ["token-classification"], "pretty_name": "Abbreviation Detection Dataset for BatteryDataExtractor"} | 2022-09-05T15:02:48+00:00 | [
"2204.12061"
] | [
"en"
] | TAGS
#task_categories-token-classification #language-English #license-apache-2.0 #arxiv-2204.12061 #region-us
|
# Abbreviation Detection Dataset
## Original Data Source
#### PLOS
I. Zilio, H. Saadany, P. Sharma, D. Kanojia and C. Orasan,
PLOD: An Abbreviation Detection Dataset for Scientific Docu-
ments, 2022, URL
#### SDU@AAAI-21
A. P. B. Veyseh, F. Dernoncourt, Q. H. Tran and T. H. Nguyen,
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4976bb5ace12abe22747787d3663a203946c319e |
# CNER Dataset
## Original Data Source
#### CHEMDNER
M. Krallinger, O. Rabal, F. Leitner, M. Vazquez, D. Salgado,
Z. Lu, R. Leaman, Y. Lu, D. Ji, D. M. Lowe et al., J. Cheminf.,
2015, 7, 1–17.
#### MatScholar
I. Weston, V. Tshitoyan, J. Dagdelen, O. Kononova, A. Tre-
wartha, K. A. Persson, G. Ceder and A. Jain, J. C... | batterydata/cner | [
"task_categories:token-classification",
"language:en",
"license:apache-2.0",
"arxiv:2006.03039",
"region:us"
] | 2022-09-05T14:49:33+00:00 | {"language": ["en"], "license": ["apache-2.0"], "task_categories": ["token-classification"], "pretty_name": "Chemical Named Entity Recognition (CNER) Dataset for BatteryDataExtractor"} | 2022-09-05T15:07:43+00:00 | [
"2006.03039"
] | [
"en"
] | TAGS
#task_categories-token-classification #language-English #license-apache-2.0 #arxiv-2006.03039 #region-us
|
# CNER Dataset
## Original Data Source
#### CHEMDNER
M. Krallinger, O. Rabal, F. Leitner, M. Vazquez, D. Salgado,
Z. Lu, R. Leaman, Y. Lu, D. Ji, D. M. Lowe et al., J. Cheminf.,
2015, 7, 1–17.
#### MatScholar
I. Weston, V. Tshitoyan, J. Dagdelen, O. Kononova, A. Tre-
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3d2bbff4d30d5c41d2cbf5b1d55fbc8d10cfdbaa |
# Dataset Card for Code Comment Classification
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure... | poojaruhal/Code-comment-classification | [
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# Dataset Card for Code Comment Classification
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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dbfb6932cd47473876f8869f8fae932cc9099edb | # 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-book-summary
* Dataset: big_patent
* Config: y
* Split: test
To run new e... | autoevaluate/autoeval-staging-eval-big_patent-y-7d0862-15806176 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-05T22:51:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["big_patent"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-book-summary", "metrics": [], "dataset_name": "big_patent", "dataset_config": "y", "dataset_split": "test", "col_mapping": {"text": "description",... | 2022-09-07T02:32:35+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-book-summary
* Dataset: big_patent
* Config: y
* Split: test
To run new evaluation jobs, visit Hugging Face's... | [
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214a9794ff850e1c35c9d22c58752e1ee0cd10df | # 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-V11-big_patent-V2
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* Config: y
* Split: test
... | autoevaluate/autoeval-staging-eval-big_patent-y-7d0862-15806177 | [
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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: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: big_patent
* Config: y
* Split: test
To run new evaluation jobs, visit H... | [
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f4f99ef293bfa13ce34d2cf7ece919d9776ff0ca | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-base-book-summary
* Dataset: big_patent
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: pszemraj/led-base-book-summary
* Dataset: big_patent
* Config: y
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f1e5518e824f5eaddfe81377a58ea18c329abb55 |
# Dataset Card for BIOSSES
## Dataset Description
- **Homepage:** https://tabilab.cmpe.boun.edu.tr/BIOSSES/DataSet.html
- **Pubmed:** True
- **Public:** True
- **Tasks:** STS
BIOSSES computes similarity of biomedical sentences by utilizing WordNet as the general domain ontology and UMLS as the biomedical domain s... | bigbio/biosses | [
"multilinguality:monolingual",
"language:en",
"license:gpl-3.0",
"region:us"
] | 2022-09-06T00:12:20+00:00 | {"language": ["en"], "license": "gpl-3.0", "multilinguality": "monolingual", "pretty_name": "BIOSSES", "bigbio_language": ["English"], "bigbio_license_shortname": "GPL_3p0", "homepage": "https://tabilab.cmpe.boun.edu.tr/BIOSSES/DataSet.html", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["SEMANTIC_SIM... | 2022-12-22T15:32:58+00:00 | [] | [
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|
# Dataset Card for BIOSSES
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: STS
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d1cb85a2f99002f343fad318b7f3d9d1b308921f | # 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: google/pegasus-xsum
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visit ... | autoevaluate/autoeval-staging-eval-samsum-samsum-fbc19a-15816179 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-06T01:39:58+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "google/pegasus-xsum", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "validation", "col_mapping": {"text": "dialogue", "target": "summary"}}} | 2022-09-06T01:43:18+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: google/pegasus-xsum
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic model evalu... | [
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f716bbc8bd71337c4f04d64ba21af0a9043a76e3 | # Dataset Card for UKP ASPECT
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structu... | UKPLab/UKP_ASPECT | [
"license:cc-by-nc-3.0",
"region:us"
] | 2022-09-06T07:30:15+00:00 | {"license": "cc-by-nc-3.0"} | 2023-06-19T07:18:13+00:00 | [] | [] | TAGS
#license-cc-by-nc-3.0 #region-us
| # Dataset Card for UKP ASPECT
## 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
- Person... | [
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c2bb89e72da89cf38680d5bb47fe689b0716bfc5 | # 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-small
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Fac... | autoevaluate/autoeval-staging-eval-cnn_dailymail-3.0.0-0b05dc-15886185 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-06T09:39:07+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "t5-small", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "article", "target": "highlights"}}} | 2022-09-06T09:42:21+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-small
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
## C... | [
"# 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-small\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model e... | [
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e0ec01c52f1ebc2be766493eca5f571b4e20474b |
# Dataset Card for FaQuAD
## 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)... | eraldoluis/faquad | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:expert-generated",
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"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:extended|wikipedia",
"language:pt",
"license:cc-by-4.0",
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] | 2022-09-06T10:05:01+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["pt"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["extended|wikipedia"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "pretty_name"... | 2023-01-23T08:45:41+00:00 | [] | [
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| Dataset Card for FaQuAD
=======================
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 Dat... | [
"### Dataset Summary\n\n\nAcademic secretaries and faculty members of higher education institutions face a common problem:\nthe abundance of questions sent by academics\nwhose answers are found in available institutional documents.\nThe official documents produced by Brazilian public universities are vast and dispe... | [
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1e0c6e8c8ff4fe9d22b72ba8abbc408df84eb265 | # AutoTrain Dataset for project: emotion-detection
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project emotion-detection.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
... | rahulmallah/autotrain-data-emotion-detection | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-09-06T12:04:07+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-09-06T12:13:37+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: emotion-detection
================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project emotion-detection.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
... | [
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c9bc2dc442b053e2f70f11cbcf6aa3ee01b54286 | label_ids:
- (0) contradiction
- (2) entailment | gorkaartola/ZS-train_SDG_Descriptions_S1-sentence_S2-SDGtitle_Negative_Sample_Filter-Only_Title_and_Headline | [
"region:us"
] | 2022-09-06T13:50:12+00:00 | {} | 2022-09-06T13:52:46+00:00 | [] | [] | TAGS
#region-us
| label_ids:
- (0) contradiction
- (2) entailment | [] | [
"TAGS\n#region-us \n"
] | [
6
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c0afa552316676917fa38974717285d6cb5f133d | git config --global credential.helper store | Riilax/Dali-2 | [
"region:us"
] | 2022-09-06T16:41:04+00:00 | {} | 2022-09-06T16:43:51+00:00 | [] | [] | TAGS
#region-us
| git config --global URL store | [] | [
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f1fed66dfcbbc155f73431e9f2c9362fe2ace7d4 | # 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: kamalkraj/bert-base-cased-ner-conll2003
* Dataset: conll2003
* Config: conll2003
* Split: test
To run ... | autoevaluate/autoeval-staging-eval-conll2003-conll2003-0054c2-15936187 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-06T16:51:31+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "kamalkraj/bert-base-cased-ner-conll2003", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tokens", "... | 2022-09-06T16:53:00+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: kamalkraj/bert-base-cased-ner-conll2003
* Dataset: conll2003
* Config: conll2003
* 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: Token Classification\n* Model: kamalkraj/bert-base-cased-ner-conll2003\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n\nTo run new evaluation jobs, ... | [
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209d2db4b4a2ac4b477a184c8d5231fd5d4c81fb | # Dataset Card for "jigsaw-toxic-comment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | affahrizain/jigsaw-toxic-comment | [
"region:us"
] | 2022-09-06T18:36:24+00:00 | {"dataset_info": {"features": [{"name": "labels", "dtype": "int64"}, {"name": "comment_clean", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 57080609, "num_examples": 159100}, {"name": "dev", "num_bytes": 7809213, "num_examples": 22393}, {"name": "test", "num_bytes": 22245686, "num_examples": 63978}], ... | 2023-02-19T11:51:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "jigsaw-toxic-comment"
More Information needed | [
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45970ba9a0fc0f0e7971757228ea1b17d9dd3dfb |
Source of data: https://github.com/FudanVI/benchmarking-chinese-text-recognition | priyank-m/chinese_text_recognition | [
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"language:zh",
"ocr",
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"chinese",
"region:us"
] | 2022-09-06T20:18:47+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["zh"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["image-to-text"], "task_ids": ["image-captioning"], "pretty_name": "chinese_text_recognition", "tags": ["ocr", "text-r... | 2022-09-21T08:08:19+00:00 | [] | [
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] |
499e407cf6a86f408818969400d1de63163e65a1 | # 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_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: te... | autoevaluate/autoeval-staging-eval-cnn_dailymail-3.0.0-fcbcd1-15976191 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-06T21:24:11+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": ["rouge", "accuracy", "exact_match"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_s... | 2022-09-06T22:16:06+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: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visi... | [
"# 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_tuned_for_sum\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evalua... | [
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5909507bf7ac0113a0a906b0a5583c8b8e0d4085 | # 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_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: te... | autoevaluate/autoeval-staging-eval-cnn_dailymail-3.0.0-5863f2-15966190 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-06T21:24:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": ["rouge", "accuracy"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", ... | 2022-09-06T22:14:30+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_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visi... | [
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1139ac8154d30113fab374b3961faec562b0dd8f | # Dataset Card for citizen_nlu
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
... | neuralspace/citizen_nlu | [
"task_categories:question-answering",
"task_categories:text-retrieval",
"task_categories:text2text-generation",
"task_categories:other",
"task_categories:translation",
"task_categories:conversational",
"task_ids:extractive-qa",
"task_ids:closed-domain-qa",
"task_ids:utterance-retrieval",
"task_ids... | 2022-09-07T03:43:33+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["as", "bn", "gu", "hi", "kn", "mr", "pa", "ta", "te"], "multilinguality": ["multilingual"], "size_categories": ["n>1K"], "source_datasets": ["original"], "task_categories": ["question-answering", "text-retrieval", "text2text-generation", "... | 2022-09-09T04:53:16+00:00 | [] | [
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=============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Perso... | [
"### Dataset Description\n\n\n* Homepage: NeuralSpace Homepage\n* Repository: citizen\\_nlu Dataset\n* Point of Contact: Juhi Jain\n* Point of Contact: Ayushman Dash\n* Size of downloaded dataset files: 67.6 MB",
"### Dataset Summary\n\n\nNeuralSpace strives to provide AutoNLP text and speech services, especially... | [
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542460b9f8fefcc6544fdd06991e3a3d9be2eef3 | # AutoTrain Dataset for project: citizen_nlu_bn
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project citizen_nlu_bn.
### Languages
The BCP-47 code for the dataset's language is bn.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```js... | neuralspace/autotrain-data-citizen_nlu_bn | [
"task_categories:text-classification",
"language:bn",
"region:us"
] | 2022-09-07T04:31:08+00:00 | {"language": ["bn"], "task_categories": ["text-classification"]} | 2022-09-07T04:32:14+00:00 | [] | [
"bn"
] | TAGS
#task_categories-text-classification #language-Bengali #region-us
| AutoTrain Dataset for project: citizen\_nlu\_bn
===============================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project citizen\_nlu\_bn.
### Languages
The BCP-47 code for the dataset's language is bn.
Dataset Structure
---... | [
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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 (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
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a77ffb4773b694d03c805d80ea128b44e5c709f3 |
# Dataset Card for solar3
### Dataset Summary
Šolar* is a developmental corpus of 5485 school texts (e.g., essays), written by students in Slovenian secondary schools
(age 15-19) and pupils in the 7th-9th grade of primary school (13-15), with a small percentage also from the 6th grade.
Part of the corpus (1516 tex... | cjvt/solar3 | [
"task_categories:text2text-generation",
"task_categories:other",
"annotations_creators:expert-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:sl",
"license:cc-by-nc-sa-4.0",
"gram... | 2022-09-07T08:16:23+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["other"], "language": ["sl"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M", "1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text2text-generation", "other"], "task_ids": [], "pre... | 2022-10-21T06:35:45+00:00 | [] | [
"sl"
] | TAGS
#task_categories-text2text-generation #task_categories-other #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-1K<n<10K #source_datasets-original #language-Slovenian #license-cc-by-nc-sa-4.0 #grammatical-error-correction #other-... |
# Dataset Card for solar3
### Dataset Summary
Šolar* is a developmental corpus of 5485 school texts (e.g., essays), written by students in Slovenian secondary schools
(age 15-19) and pupils in the 7th-9th grade of primary school (13-15), with a small percentage also from the 6th grade.
Part of the corpus (1516 tex... | [
"# Dataset Card for solar3",
"### Dataset Summary\n\nŠolar* is a developmental corpus of 5485 school texts (e.g., essays), written by students in Slovenian secondary schools \n(age 15-19) and pupils in the 7th-9th grade of primary school (13-15), with a small percentage also from the 6th grade. \nPart of the corp... | [
"TAGS\n#task_categories-text2text-generation #task_categories-other #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-1K<n<10K #source_datasets-original #language-Slovenian #license-cc-by-nc-sa-4.0 #grammatical-error-correction #... | [
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aa18c10ce999c806bf6f30a050b0d9a720ccd0c3 | **Published**: September 21th, 2022 <br>
**Author**: Julius Breiholz
# GARFAB-Dataset
The (G)erman corpus of annotated (A)pp (R)eviews to detect (F)eature requests (A)nd (B)ug reports (GARFAB) is a dataset to fine-tune models regarding classification of app reviews (ASRs) into "Feature Requests", "Bug Reports" and "I... | julius-br/GARFAB | [
"license:mit",
"region:us"
] | 2022-09-07T10:33:31+00:00 | {"license": "mit"} | 2022-09-21T14:54:55+00:00 | [] | [] | TAGS
#license-mit #region-us
| Published: September 21th, 2022
Author: Julius Breiholz
GARFAB-Dataset
==============
The (G)erman corpus of annotated (A)pp (R)eviews to detect (F)eature requests (A)nd (B)ug reports (GARFAB) is a dataset to fine-tune models regarding classification of app reviews (ASRs) into "Feature Requests", "Bug Reports" ... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
85f90b5212cc669b29aac223f6e7a97e82da95c9 | # Reddit Demo dataset
| jamescalam/reddit-demo | [
"region:us"
] | 2022-09-07T10:57:04+00:00 | {} | 2022-09-07T11:12:43+00:00 | [] | [] | TAGS
#region-us
| # Reddit Demo dataset
| [
"# Reddit Demo dataset"
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"TAGS\n#region-us \n",
"# Reddit Demo dataset"
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6,
5
] | [
"passage: TAGS\n#region-us \n# Reddit Demo dataset"
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b514058e84ca638776d8b92786dc41a343aafdbf | ;oertjh | helliun/mePics | [
"region:us"
] | 2022-09-07T12:36:53+00:00 | {} | 2022-09-07T13:33:55+00:00 | [] | [] | TAGS
#region-us
| ;oertjh | [] | [
"TAGS\n#region-us \n"
] | [
6
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11d59a59eeee7591bd6e8fe2611be016e9f15f22 |
Read this [BLOG](https://neuralmagic.com/blog/classifying-finance-tweets-in-real-time-with-sparse-transformers/) to see how I fine-tuned a sparse transformer on this dataset.
### Dataset Description
The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tw... | zeroshot/twitter-financial-news-topic | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:mit",
"twitter",
"finance",
"markets",
"stoc... | 2022-09-07T17:43:21+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "pretty_name": "twit... | 2022-12-04T16:50:10+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #twitter #finance #markets #stocks #wallstreet #quant #hedgefunds #region-... | Read this BLOG to see how I fine-tuned a sparse transformer on this dataset.
### Dataset Description
The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their topic.
1. The dataset h... | [
"### Dataset Description\n\n\nThe Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their topic.\n\n\n1. The dataset holds 21,107 documents annotated with 20 labels:\n\n\nThe data was co... | [
"TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #twitter #finance #markets #stocks #wallstreet #quant #hedgefunds #r... | [
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baa2e9a0a5d19ff2838e9cfbceb85b81d7a06f8e |
# Dataset Card for Law Stack Exchange Dataset
## Dataset Description
- **Paper: [Parameter-Efficient Legal Domain Adaptation](https://aclanthology.org/2022.nllp-1.10/)**
- **Point of Contact: jxl@queensu.ca**
### Dataset Summary
Dataset from the Law Stack Exchange, as used in "Parameter-Efficient Legal Domain Ad... | jonathanli/law-stack-exchange | [
"task_categories:text-classification",
"language:en",
"stackexchange",
"law",
"region:us"
] | 2022-09-07T18:49:21+00:00 | {"language": ["en"], "task_categories": ["text-classification"], "pretty_name": "Law Stack Exchange", "tags": ["stackexchange", "law"]} | 2023-02-23T16:37:19+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #stackexchange #law #region-us
|
# Dataset Card for Law Stack Exchange Dataset
## Dataset Description
- Paper: Parameter-Efficient Legal Domain Adaptation
- Point of Contact: jxl@URL
### Dataset Summary
Dataset from the Law Stack Exchange, as used in "Parameter-Efficient Legal Domain Adaptation".
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5873a8aa4a5b3b4010501de70241f853acbbadc0 |
# Dataset Card for US Accidents (2016 - 2021)
## 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]... | nateraw/us-accidents | [
"license:cc-by-nc-sa-4.0",
"arxiv:1906.05409",
"arxiv:1909.09638",
"region:us"
] | 2022-09-07T21:24:31+00:00 | {"license": ["cc-by-nc-sa-4.0"], "kaggle_id": "sobhanmoosavi/us-accidents"} | 2022-09-07T21:24:52+00:00 | [
"1906.05409",
"1909.09638"
] | [] | TAGS
#license-cc-by-nc-sa-4.0 #arxiv-1906.05409 #arxiv-1909.09638 #region-us
|
# Dataset Card for US Accidents (2016 - 2021)
## 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
- Annot... | [
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95ec1d31cef548b24b6071771ed2a2d317fd7717 |
# OneStopEnglish
OneStopEnglish is a corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications - automatic readability assessment and automatic text simplification.
This dataset is a version of [onestop_english](https://huggingface.co/datasets/onestop_english), whic... | SetFit/onestop_english | [
"license:cc-by-sa-4.0",
"region:us"
] | 2022-09-08T05:12:18+00:00 | {"license": "cc-by-sa-4.0"} | 2022-09-08T05:16:39+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
|
# OneStopEnglish
OneStopEnglish is a corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications - automatic readability assessment and automatic text simplification.
This dataset is a version of onestop_english, which was randomly split into (64*3=) 192 train example... | [
"# OneStopEnglish\nOneStopEnglish is a corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications - automatic readability assessment and automatic text simplification.\n\nThis dataset is a version of onestop_english, which was randomly split into (64*3=) 192 train ... | [
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8f4edc041879a2e0162401ee1754a7555b660c6a |
# School Notebooks Dataset
The images of school notebooks with handwritten notes in English.
The dataset annotation contain end-to-end markup for training detection and OCR models, as well as an end-to-end model for reading text from pages.
## Annotation format
The annotation is in COCO format. The `annotation.js... | ai-forever/school_notebooks_EN | [
"task_categories:image-segmentation",
"task_categories:object-detection",
"source_datasets:original",
"language:en",
"license:mit",
"optical-character-recognition",
"text-detection",
"ocr",
"region:us"
] | 2022-09-08T08:31:05+00:00 | {"language": ["en"], "license": ["mit"], "source_datasets": ["original"], "task_categories": ["image-segmentation", "object-detection"], "task_ids": [], "tags": ["optical-character-recognition", "text-detection", "ocr"]} | 2023-02-09T18:26:07+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-segmentation #task_categories-object-detection #source_datasets-original #language-English #license-mit #optical-character-recognition #text-detection #ocr #region-us
|
# School Notebooks Dataset
The images of school notebooks with handwritten notes in English.
The dataset annotation contain end-to-end markup for training detection and OCR models, as well as an end-to-end model for reading text from pages.
## Annotation format
The annotation is in COCO format. The 'URL' should h... | [
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360875ac83db1a044fa95d969013eda19d8c2667 | Bynny dataset | Anastasia1812/bunny | [
"region:us"
] | 2022-09-08T08:41:27+00:00 | {} | 2022-09-08T08:56:50+00:00 | [] | [] | TAGS
#region-us
| Bynny dataset | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
a10cd26104f054dc116a9dbc4a29c34b494eb9ae |
# School Notebooks Dataset
The images of school notebooks with handwritten notes in Russian.
The dataset annotation contain end-to-end markup for training detection and OCR models, as well as an end-to-end model for reading text from pages.
## Annotation format
The annotation is in COCO format. The `annotation.js... | ai-forever/school_notebooks_RU | [
"task_categories:image-segmentation",
"task_categories:object-detection",
"source_datasets:original",
"language:ru",
"license:mit",
"optical-character-recognition",
"text-detection",
"ocr",
"region:us"
] | 2022-09-08T09:06:32+00:00 | {"language": ["ru"], "license": ["mit"], "source_datasets": ["original"], "task_categories": ["image-segmentation", "object-detection"], "task_ids": [], "tags": ["optical-character-recognition", "text-detection", "ocr"]} | 2023-02-09T18:27:24+00:00 | [] | [
"ru"
] | TAGS
#task_categories-image-segmentation #task_categories-object-detection #source_datasets-original #language-Russian #license-mit #optical-character-recognition #text-detection #ocr #region-us
|
# School Notebooks Dataset
The images of school notebooks with handwritten notes in Russian.
The dataset annotation contain end-to-end markup for training detection and OCR models, as well as an end-to-end model for reading text from pages.
## Annotation format
The annotation is in COCO format. The 'URL' should h... | [
"# School Notebooks Dataset\n\nThe images of school notebooks with handwritten notes in Russian.\n\nThe dataset annotation contain end-to-end markup for training detection and OCR models, as well as an end-to-end model for reading text from pages.",
"## Annotation format\n\nThe annotation is in COCO format. The '... | [
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c7186656e42f3b8660bf4a0e7768d54bb8d9429d | # 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: lewtun/sagemaker-distilbert-emotion-1
* Dataset: emotion
* Config: default
* Split: test
To... | autoevaluate/autoeval-staging-eval-emotion-default-39ecfd-16096203 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-08T09:09:45+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "lewtun/sagemaker-distilbert-emotion-1", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "tar... | 2022-09-08T09:10:12+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: lewtun/sagemaker-distilbert-emotion-1
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hugg... | [
"# 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: lewtun/sagemaker-distilbert-emotion-1\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation j... | [
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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: lewtun/sagemaker-distilbert-emotion-1\n* Dataset: emotion\n* Config: d... | [
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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: lewtun/sagemaker-distilbert-emotion-1\n* Dataset: emotion\n* Config... |
6d5678654a99a8fd5150bf7523ced793e92a0be6 |
# Dataset Card for the-reddit-climate-change-dataset
## 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... | SocialGrep/the-reddit-climate-change-dataset | [
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"license:cc-by-4.0",
"region:us"
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|
# Dataset Card for the-reddit-climate-change-dataset
## 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
- Pe... | [
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17f24d0e1728d03561905934d6ba0368431d4e42 |
# Dataset Card for Airbnb Stock Price
## 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](#datase... | nateraw/airbnb-stock-price-new-new | [
"license:cc0-1.0",
"region:us"
] | 2022-09-08T17:48:04+00:00 | {"license": ["cc0-1.0"], "kaggle_id": "evangower/airbnb-stock-price"} | 2022-09-08T17:48:08+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# Dataset Card for Airbnb Stock Price
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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2e1bafd99ce03bfe95c2473ecc422bde8dd74ef2 |
# Dataset Card for Airbnb Stock Price
## 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](#datase... | nateraw/airbnb-stock-price-new-new-new | [
"license:cc0-1.0",
"region:us"
] | 2022-09-08T17:52:57+00:00 | {"license": ["cc0-1.0"], "converted_from": "kaggle", "kaggle_id": "evangower/airbnb-stock-price"} | 2022-09-08T17:53:00+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# Dataset Card for Airbnb Stock Price
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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c5c7d736a46f8e0b84448d4a4d7b722f257eaea9 |
# Dataset Card for Electrical half hourly raw and cleaned datasets for Great Britain from 2008-11-05
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderbo... | nateraw/espeni-3 | [
"license:unknown",
"region:us"
] | 2022-09-08T17:58:36+00:00 | {"license": ["unknown"], "zenodo_id": "6606485", "converted_from": "zenodo"} | 2022-09-08T17:58:52+00:00 | [] | [] | TAGS
#license-unknown #region-us
|
# Dataset Card for Electrical half hourly raw and cleaned datasets for Great Britain from 2008-11-05
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Cr... | [
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f9846ec84537f7986056d138e0219648639dcdb8 | annotations_creators: []
language: []
language_creators:
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license:
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multilinguality: []
pretty_name: bunny images
size_categories:
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source_datasets:
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tags: []
task_categories:
- text-to-image
task_ids: [] | Anastasia1812/bunnies | [
"region:us"
] | 2022-09-08T18:23:33+00:00 | {} | 2022-09-08T18:31:08+00:00 | [] | [] | TAGS
#region-us
| annotations_creators: []
language: []
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pretty_name: bunny images
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d0955128fa4c42ef9dd97fd022294a4474cf290e |
# Dataset Card for Avocado Prices
## 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... | nateraw/avocado-prices | [
"license:odbl",
"region:us"
] | 2022-09-08T19:35:54+00:00 | {"license": ["odbl"], "converted_from": "kaggle", "kaggle_id": "neuromusic/avocado-prices"} | 2022-09-08T19:43:27+00:00 | [] | [] | TAGS
#license-odbl #region-us
|
# Dataset Card for Avocado Prices
## 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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9ee569ca22bab4e5b7addf77abb150463c4030c1 |
# Dataset Card for Midjourney User Prompts & Generated Images (250k)
## 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... | nateraw/midjourney-texttoimage | [
"license:cc0-1.0",
"region:us"
] | 2022-09-08T19:49:52+00:00 | {"license": ["cc0-1.0"], "converted_from": "kaggle", "kaggle_id": "succinctlyai/midjourney-texttoimage"} | 2022-09-08T20:14:37+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
| Dataset Card for Midjourney User Prompts & Generated Images (250k)
==================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instance... | [
"### Dataset Summary\n\n\nGeneral Context\n===============\n\n\nMidjourney is an independent research lab whose broad mission is to \"explore new mediums of thought\". In 2022, they launched a text-to-image service that, given a natural language prompt, produces visual depictions that are faithful to the descriptio... | [
"TAGS\n#license-cc0-1.0 #region-us \n",
"### Dataset Summary\n\n\nGeneral Context\n===============\n\n\nMidjourney is an independent research lab whose broad mission is to \"explore new mediums of thought\". In 2022, they launched a text-to-image service that, given a natural language prompt, produces visual depi... | [
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1cea5d99551c5817ca98c404c39b8846f04a3a12 |
# spanish-tweets
## A big corpus of tweets for pretraining embeddings and language models
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-... | pysentimiento/spanish-tweets | [
"language:es",
"region:us"
] | 2022-09-08T20:02:38+00:00 | {"language": "es", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tweet_id", "dtype": "string"}, {"name": "user_id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 82649695458, "num_examples": 597433111}, {"name": "test", "num_bytes": 892219251, "num_examples": 6224733}], "... | 2023-07-13T14:44:41+00:00 | [] | [
"es"
] | TAGS
#language-Spanish #region-us
|
# spanish-tweets
## A big corpus of tweets for pretraining embeddings and language models
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Creation
- Curation Rationale
- Source Data
- Additional Information
- Datas... | [
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e0c29cfa541e8a082ce6ee1c9bec75d37333a98d |
# Dataset Card for Midjourney User Prompts & Generated Images (250k)
## 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... | nateraw/midjourney-texttoimage-new | [
"license:cc0-1.0",
"region:us"
] | 2022-09-08T20:17:45+00:00 | {"license": ["cc0-1.0"], "converted_from": "kaggle", "kaggle_id": "succinctlyai/midjourney-texttoimage"} | 2022-09-08T20:22:05+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
| Dataset Card for Midjourney User Prompts & Generated Images (250k)
==================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instance... | [
"### Dataset Summary\n\n\nGeneral Context\n===============\n\n\nMidjourney is an independent research lab whose broad mission is to \"explore new mediums of thought\". In 2022, they launched a text-to-image service that, given a natural language prompt, produces visual depictions that are faithful to the descriptio... | [
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6d108e64c8f43f95c0893b67ca7a5bb2bb9904b3 |
# Dataset Card for Prescription-based prediction
## 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 Structu... | nateraw/prescriptionbasedprediction | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-09-08T20:40:40+00:00 | {"license": ["cc-by-nc-sa-4.0"], "converted_from": "kaggle", "kaggle_id": "roamresearch/prescriptionbasedprediction"} | 2022-09-08T20:40:53+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
# Dataset Card for Prescription-based prediction
## 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
- An... | [
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6bba8e2773773739878a9e5ab1d8e10b8733260f |
# Dataset Card for World Happiness Report
## 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](#da... | nateraw/world-happiness | [
"license:cc0-1.0",
"region:us"
] | 2022-09-08T20:51:07+00:00 | {"license": ["cc0-1.0"], "converted_from": "kaggle", "kaggle_id": "unsdsn/world-happiness"} | 2022-09-08T20:51:15+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# Dataset Card for World Happiness Report
## 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
- Annotatio... | [
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c614e40ca0c9a5b6ba8553754158652a1156f694 | stable-diffusion-discord-prompts
All messages from dreambot from all dream-[1-50] channels in stable-diffusion discord
source:
https://github.com/bartman081523/stable-diffusion-discord-prompts | neuralworm/stable-diffusion-discord-prompts | [
"region:us"
] | 2022-09-09T02:32:22+00:00 | {} | 2022-09-15T02:52:04+00:00 | [] | [] | TAGS
#region-us
| stable-diffusion-discord-prompts
All messages from dreambot from all dream-[1-50] channels in stable-diffusion discord
source:
URL | [] | [
"TAGS\n#region-us \n"
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00d53922bad2faab09916b1b83c6be5bf6bd9e96 | # 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-book-summary
* Dataset: launch/gov_report
* Config: plain_text
* Split: va... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-cd8e90-16116209 | [
"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-book-summary
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To run new evaluation jobs... | [
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0d656ce2d05249f8bc06a3048a577ce1cb9eb4b7 | # 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: Blaise-g/longt5_tglobal_large_sumpubmed
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
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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: Blaise-g/longt5_tglobal_large_sumpubmed
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit H... | [
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2554e99bf5d02a551aebe4b0d2fb9276e7ebc8c5 | # 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: launch/gov_report
* Config: plain_text... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-cd8e90-16116211 | [
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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: launch/gov_report
* Config: plain_text
* Split: validation
To run new eva... | [
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02b9c6352eba657cc3bade52d89764a539b711f9 | # 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-V11-big_patent-V2
* Dataset: launch/gov_report
* Config: plain_tex... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-cd8e90-16116212 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To run new ev... | [
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0e900883ed246d6237128ebd68ff98e0e1caf78f | # 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-WIP
* Dataset: launch/gov_report
* Config: plain_text
*... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-cd8e90-16116213 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To run new evalu... | [
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2bf032fc8926b7e424852caef15844242b4888fc | # 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: launch/gov_report
* Config: plain_text... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-cd8e90-16116214 | [
"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-large-pubmed-3k-booksum-16384-WIP11
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To run new eva... | [
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a757cd2381b43a4b03146acdfe34722d8968ba78 | # 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: Blaise-g/longt5_tglobal_large_baseline_sumpubmed_nolenpen
* Dataset: launch/gov_report
* Config: plain_text
* ... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-cd8e90-16116215 | [
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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: Blaise-g/longt5_tglobal_large_baseline_sumpubmed_nolenpen
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To run new evalua... | [
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3c6e630b83d5ad560f90b0cee9027ec8f754a59e | # 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: Blaise-g/longt5_tglobal_large_scitldr
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
T... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-cd8e90-16116216 | [
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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: Blaise-g/longt5_tglobal_large_scitldr
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
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72bd968d199b079c4a66863ab4844def3e05042c | # 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: Blaise-g/longt5_tglobal_large_explanatory_baseline_scitldr
* Dataset: launch/gov_report
* Config: plain_text
*... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-cd8e90-16116217 | [
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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: Blaise-g/longt5_tglobal_large_explanatory_baseline_scitldr
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To run new evalu... | [
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3ba67d037d51a119698f136ecf0592d88a5ac6e8 | # 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: facebook/bart-large-cnn
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To run new eval... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-7b7f8a-16126218 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: facebook/bart-large-cnn
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's au... | [
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079bc3a029f12d1565725a76f2d83fd93be783a4 | # 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: google/bigbird-pegasus-large-arxiv
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To r... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-7b7f8a-16126219 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T03:17:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["launch/gov_report"], "eval_info": {"task": "summarization", "model": "google/bigbird-pegasus-large-arxiv", "metrics": ["bertscore"], "dataset_name": "launch/gov_report", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping... | 2022-09-09T03:51:42+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: google/bigbird-pegasus-large-arxiv
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To 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: google/bigbird-pegasus-large-arxiv\n* Dataset: launch/gov_report\n* Config: plain_text\n... | [
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19a6f6c5483163f19b0ddc4e922da5abc3b52e14 | # 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: google/bigbird-pegasus-large-bigpatent
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-7b7f8a-16126220 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T03:17:52+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["launch/gov_report"], "eval_info": {"task": "summarization", "model": "google/bigbird-pegasus-large-bigpatent", "metrics": ["bertscore"], "dataset_name": "launch/gov_report", "dataset_config": "plain_text", "dataset_split": "validation", "col_map... | 2022-09-09T03:50:59+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: Summarization
* Model: google/bigbird-pegasus-large-bigpatent
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
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: google/bigbird-pegasus-large-bigpatent\n* Dataset: launch/gov_report\n* Config: plain_text\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: google/bigbird-pegasus-large-bigpatent\n* Dataset: launch/gov_report\n* Config: plain_te... | [
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d74ce7aa783f47c3bb17f0259d7fee1f6a89d0e9 | # 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: google/bigbird-pegasus-large-pubmed
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To ... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-7b7f8a-16126221 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T03:17:58+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["launch/gov_report"], "eval_info": {"task": "summarization", "model": "google/bigbird-pegasus-large-pubmed", "metrics": ["bertscore"], "dataset_name": "launch/gov_report", "dataset_config": "plain_text", "dataset_split": "validation", "col_mappin... | 2022-09-09T03:51:31+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: google/bigbird-pegasus-large-pubmed
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Huggi... | [
"# 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: google/bigbird-pegasus-large-pubmed\n* Dataset: launch/gov_report\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jo... | [
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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: google/bigbird-pegasus-large-pubmed\n* Dataset: launch/gov_report\n* Config: plain_text\... | [
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ab7cb615535d508799f224e10906d556ab4cfcb0 | # 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/bigbird-pegasus-large-K-booksum
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-7b7f8a-16126222 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T03:18:04+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["launch/gov_report"], "eval_info": {"task": "summarization", "model": "pszemraj/bigbird-pegasus-large-K-booksum", "metrics": ["bertscore"], "dataset_name": "launch/gov_report", "dataset_config": "plain_text", "dataset_split": "validation", "col_m... | 2022-09-09T16:51:54+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: Summarization
* Model: pszemraj/bigbird-pegasus-large-K-booksum
* Dataset: launch/gov_report
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit ... | [
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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: pszemraj/bigbird-pegasus-large-K-booksum\n* Dataset: launch/gov_report\n* Config: plain_... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/bigbird-pegasus-large-K-booksum\n* Dataset: launch/gov_report\n* Config: pla... |
3e25f0d8068ff5f9a904d9afce7c4a6e9744fe10 |
# Dataset Card for 100 Richest People In World
## 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... | nateraw/100-richest-people-in-world | [
"license:cc0-1.0",
"region:us"
] | 2022-09-09T04:10:55+00:00 | {"license": ["cc0-1.0"], "converted_from": "kaggle", "kaggle_id": "tarundalal/100-richest-people-in-world"} | 2022-09-09T04:10:59+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# Dataset Card for 100 Richest People In World
## 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
- Anno... | [
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168fbd6f0754738d7166d357c6b02790752fc251 | # 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-book-summary
* Dataset: launch/gov_report
* Config: plain_text
* Split: te... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-2fa37c-16136223 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T05:27:25+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["launch/gov_report"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-book-summary", "metrics": ["bertscore"], "dataset_name": "launch/gov_report", "dataset_config": "plain_text", "dataset_split": "test", "col... | 2022-09-09T11:39:24+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: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluation jobs, visi... | [
"# 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-book-summary\n* Dataset: launch/gov_report\n* Config: plain_text\n* Split: test\n\nTo run new evalua... | [
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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: pszemraj/long-t5-tglobal-base-16384-book-summary\n* Dataset: launch/gov_report\n* Config... | [
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eab963274de7e0edf0109b653d681cd6c6c7008a | # 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: Blaise-g/longt5_tglobal_large_sumpubmed
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To ru... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-2fa37c-16136224 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T05:27:29+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["launch/gov_report"], "eval_info": {"task": "summarization", "model": "Blaise-g/longt5_tglobal_large_sumpubmed", "metrics": ["bertscore"], "dataset_name": "launch/gov_report", "dataset_config": "plain_text", "dataset_split": "test", "col_mapping"... | 2022-09-09T06:42:30+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: Blaise-g/longt5_tglobal_large_sumpubmed
* Dataset: launch/gov_report
* Config: plain_text
* 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: Summarization\n* Model: Blaise-g/longt5_tglobal_large_sumpubmed\n* Dataset: launch/gov_report\n* Config: plain_text\n* Split: test\n\nTo run new evaluation jobs... | [
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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: Blaise-g/longt5_tglobal_large_sumpubmed\n* Dataset: launch/gov_report\n* Config: plain_t... | [
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2382ecc2f9a282294489185d349b258db8d0d58c | # 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: Blaise-g/longt5_tglobal_large_scitldr
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run ... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-2fa37c-16136225 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T05:27:35+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["launch/gov_report"], "eval_info": {"task": "summarization", "model": "Blaise-g/longt5_tglobal_large_scitldr", "metrics": ["bertscore"], "dataset_name": "launch/gov_report", "dataset_config": "plain_text", "dataset_split": "test", "col_mapping": ... | 2022-09-09T07:34:26+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: Blaise-g/longt5_tglobal_large_scitldr
* Dataset: launch/gov_report
* Config: plain_text
* 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: Blaise-g/longt5_tglobal_large_scitldr\n* Dataset: launch/gov_report\n* Config: plain_text\n* Split: test\n\nTo run new evaluation jobs, ... | [
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eb6c99edc51cb573d18449706847d102403dc990 | # 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: launch/gov_report
* Config: plain_text... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-2fa37c-16136226 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T05:27:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["launch/gov_report"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13", "metrics": ["bertscore"], "dataset_name": "launch/gov_report", "dataset_config": "plain_text", "dataset_split": ... | 2022-09-09T22:50:32+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: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluatio... | [
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5195b0a556f0b34cb4d57881fdb7f75d8d717119 | # 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-V11-big_patent-V2
* Dataset: launch/gov_report
* Config: plain_tex... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-2fa37c-16136227 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T05:27:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["launch/gov_report"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2", "metrics": ["bertscore"], "dataset_name": "launch/gov_report", "dataset_config": "plain_text", "dataset_split":... | 2022-09-09T06:42:27+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-V11-big_patent-V2
* Dataset: launch/gov_report
* Config: plain_text
* 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-V11-big_patent-V2\n* Dataset: launch/gov_report\n* Config: plain_text\n* Split: test\n\nTo r... | [
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7dcd04b3c24b999f3cdfe7648b37253672e9ce85 | # 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-WIP
* Dataset: launch/gov_report
* Config: plain_text
*... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-2fa37c-16136228 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T05:27:52+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["launch/gov_report"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP", "metrics": ["bertscore"], "dataset_name": "launch/gov_report", "dataset_config": "plain_text", "dataset_split": "t... | 2022-09-09T20:20:32+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: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluation ... | [
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f8602deb08d2439c83c66316ab0653bb427f758d | # 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: launch/gov_report
* Config: plain_text... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-2fa37c-16136229 | [
"autotrain",
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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: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluatio... | [
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f166e325789a8af88e96df52ae986e9b1b001ef8 | # 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: Blaise-g/longt5_tglobal_large_explanatory_baseline_scitldr
* Dataset: launch/gov_report
* Config: plain_text
*... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-2fa37c-16136230 | [
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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: Blaise-g/longt5_tglobal_large_explanatory_baseline_scitldr
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluation ... | [
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320a0e9a51c3bbfd7241c69021671c6bce556011 | # 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: google/bigbird-pegasus-large-arxiv
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-1abd3a-16146231 | [
"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: google/bigbird-pegasus-large-arxiv
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluation jobs, visit Hugging Face... | [
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11c3beb3ad0180fe5e34012b25a913f2bea08d6a | # 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: google/bigbird-pegasus-large-bigpatent
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-1abd3a-16146232 | [
"autotrain",
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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: Summarization
* Model: google/bigbird-pegasus-large-bigpatent
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluation jobs, visit Hugging ... | [
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e1be3a1fe4bac74e9cfc091131e267f71c9d3e8c | # 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: google/bigbird-pegasus-large-pubmed
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run ne... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-1abd3a-16146233 | [
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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: Summarization
* Model: google/bigbird-pegasus-large-pubmed
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluation jobs, visit Hugging Fac... | [
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53f9acad369028aa1cc20fd839f32076f85287c4 | # 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/bigbird-pegasus-large-K-booksum
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To r... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-1abd3a-16146234 | [
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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/bigbird-pegasus-large-K-booksum
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluation jobs, visit Huggin... | [
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0c6e30c26ef7cda27ea3e5100abc8d6c3c71b9ab | # 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: facebook/bart-large-cnn
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluation... | autoevaluate/autoeval-staging-eval-launch__gov_report-plain_text-1abd3a-16146235 | [
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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: facebook/bart-large-cnn
* Dataset: launch/gov_report
* Config: plain_text
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To run new evaluation jobs, visit Hugging Face's automati... | [
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21fd72693c7a977f5a13203816c20c528e39b5ac |
# Dataset Card for xP3
## 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)
... | bigscience/xP3megds | [
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====================
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
+ A... | [
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55cecad455f7df12b6c7c1c8c206aacc9f764e3e |
# Dataset Card for COVID News Articles (2020 - 2022)
## 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 Str... | osanseviero/covid_news | [
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"region:us"
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#license-cc0-1.0 #region-us
|
# Dataset Card for COVID News Articles (2020 - 2022)
## 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
... | [
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233147fe574a16a3ef05d3a71163f0b18080f438 | # Dataset Card for LibriVox Indonesia 1.0
## 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... | cahya/librivox-indonesia | [
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"language:id",
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"languag... | 2022-09-09T14:21:18+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ace", "ban", "bug", "id", "min", "jav", "sun"], "license": "cc", "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["librivox"], "task_categories": ["automatic-speech-recognition"], "ta... | 2024-02-01T21:01:52+00:00 | [] | [
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#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-librivox #language-Achinese #language-Balinese #language-Buginese #language-Indonesian #language-Minangkabau #language-Javanese #... | # Dataset Card for LibriVox Indonesia 1.0
## 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 S... | [
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c7a7286370bdbedb08962e147b3b4c0752c8d2c8 | # 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-a8cade-61 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T15:34:53+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... | 2022-09-09T15:35:54+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: autoevaluate/zero-shot-classification-sample
* Config: autoevaluate--zero-shot-cl... | [
"# 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: autoevaluate/zero-shot-classification-sample\n* Config: autoevaluate--... | [
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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: Zero-Shot Text Classification\n* Model: autoevaluate/zero-shot-classification\n* Dataset: autoevaluate/zero-s... |
2e68efee3e15ad4aee700a9b569fc5c2e3b05a45 | # Dataset Card for REBEL-Portuguese
## Table of Contents
- [Dataset Card for REBEL-Portuguese](#dataset-card-for-rebel)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-le... | ju-resplande/rebel-pt | [
"task_categories:text-retrieval",
"task_categories:text2text-generation",
"annotations_creators:machine-generated",
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"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|rebel-dataset",
"language:pt",
"license:cc-by-nc-sa-4.0",
"... | 2022-09-09T16:09:13+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["pt"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|rebel-dataset"], "task_categories": ["text-retrieval", "text2text-generation"]... | 2022-10-29T11:19:46+00:00 | [] | [
"pt"
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#task_categories-text-retrieval #task_categories-text2text-generation #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-extended|rebel-dataset #language-Portuguese #license-cc-by-nc-sa-4.0 #relation-extraction #condit... | # Dataset Card for REBEL-Portuguese
## Table of Contents
- Dataset Card for REBEL-Portuguese
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
... | [
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c77c333b7fccd5643138b200a02064979a0db135 | # 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-40d85c-155 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-09T18:03:43+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... | 2022-09-22T01:59:16+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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"TAGS\n#autotrain #evaluation #region-us \n",
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922eca60e4c424a62beca76ab414ddc4dbeb1039 | # AutoTrain Dataset for project: donut-vs-croissant
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project donut-vs-croissant.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follow... | victor/autotrain-data-donut-vs-croissant | [
"task_categories:image-classification",
"region:us"
] | 2022-09-09T19:29:58+00:00 | {"task_categories": ["image-classification"]} | 2022-09-09T19:32:23+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: donut-vs-croissant
=================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project donut-vs-croissant.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Struct... | [
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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 (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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671cdca3749b70e3e3b4f23e36428f1b1890ab70 |
# Cannabis Tests, Curated by Cannlytics
<div style="margin-top:1rem; margin-bottom: 1rem;">
<img width="240px" alt="" src="https://firebasestorage.googleapis.com/v0/b/cannlytics.appspot.com/o/public%2Fimages%2Fdatasets%2Fcannabis_tests%2Fcannabis_tests_curated_by_cannlytics.png?alt=media&token=22e4d1da-6b30-4c3f-9f... | cannlytics/cannabis_tests | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"size_categories:1K<n<10K",
"source_datasets:original",
"license:cc-by-4.0",
"cannabis",
"lab results",
"tests",
"region:us"
] | 2022-09-10T15:54:44+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "license": ["cc-by-4.0"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "pretty_name": "cannabis_tests", "tags": ["cannabis", "lab results", "tests"]} | 2023-02-22T15:48:43+00:00 | [] | [] | TAGS
#annotations_creators-expert-generated #language_creators-expert-generated #size_categories-1K<n<10K #source_datasets-original #license-cc-by-4.0 #cannabis #lab results #tests #region-us
| Cannabis Tests, Curated by Cannlytics
=====================================
 parsing tool.\n\n\nDataset Structure\n-----------------\n\n\nThe dataset is partitioned into the various sources of lab results.\n\n\nSubset: 'rawgarden', Source: Raw Garden... | [
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"### Dataset Summary\n\n\nThis dataset is a collection of public cannabis lab test results parsed by 'CoADoc', a ce... | [
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2c6c46871b025d47c494f0cfc2235dcf2cadc1fd |
# Dataset Card for Clinical Trials's Reason to Stop
## 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 Stru... | opentargets/clinical_trial_reason_to_stop | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
... | 2022-09-10T17:20:47+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classificat... | 2022-12-12T08:57:19+00:00 | [] | [
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# Dataset Card for Clinical Trials's Reason to Stop
## 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
-... | [
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d05e581aa93337daa3728ba7ef4c9882221b1491 | This is a floral dataset to train text inversion in Stable diffusion and being added here for future reference and additional implementation. | jags/floral | [
"license:mit",
"region:us"
] | 2022-09-10T17:41:30+00:00 | {"license": "mit"} | 2022-09-10T18:03:16+00:00 | [] | [] | TAGS
#license-mit #region-us
| This is a floral dataset to train text inversion in Stable diffusion and being added here for future reference and additional implementation. | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
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93f548596663c5459ad33c179ae74e2d785ffbae | # Controlled Text Reduction
This dataset contains Controlled Text Reduction triplets - document-summary pairs, and the spans in the document that cover the summary.
The task input is consists of a document with pre-selected spans in it ("highlights"). The output is a text covering all and only the highlighted content.... | biu-nlp/Controlled-Text-Reduction-dataset | [
"arxiv:2210.13449",
"region:us"
] | 2022-09-11T08:44:55+00:00 | {} | 2022-10-25T12:25:49+00:00 | [
"2210.13449"
] | [] | TAGS
#arxiv-2210.13449 #region-us
| # Controlled Text Reduction
This dataset contains Controlled Text Reduction triplets - document-summary pairs, and the spans in the document that cover the summary.
The task input is consists of a document with pre-selected spans in it ("highlights"). The output is a text covering all and only the highlighted content.... | [
"# Controlled Text Reduction\n\nThis dataset contains Controlled Text Reduction triplets - document-summary pairs, and the spans in the document that cover the summary.\nThe task input is consists of a document with pre-selected spans in it (\"highlights\"). The output is a text covering all and only the highlighte... | [
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"# Controlled Text Reduction\n\nThis dataset contains Controlled Text Reduction triplets - document-summary pairs, and the spans in the document that cover the summary.\nThe task input is consists of a document with pre-selected spans in it (\"highlights\"). The output is ... | [
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568efa79ccdda4c4aeda7f6e48220dc8cd7f3953 | Dataset extracted from https://www.cdc.gov/coronavirus/2019-ncov/hcp/faq.html#Treatment-and-Management.
| CShorten/CDC-COVID-FAQ | [
"license:afl-3.0",
"region:us"
] | 2022-09-11T14:42:18+00:00 | {"license": "afl-3.0"} | 2022-09-11T14:42:46+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
| Dataset extracted from URL
| [] | [
"TAGS\n#license-afl-3.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-afl-3.0 #region-us \n"
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b8b8ebb1af25699dab8f6e630051823bc27ff875 |
# Artic Dataset
This dataset was created using artic API, and the descriptions were scraped from the artic.edu website. The scraping code is shared at [github.com/abhisharsinha/gsoc](https://github.com/abhisharsinha/gsoc/)
The images are hosted at this [google cloud bucket](https://storage.googleapis.com/mys-release... | abhishars/artic-dataset | [
"license:cc",
"region:us"
] | 2022-09-12T02:30:58+00:00 | {"license": "cc"} | 2023-01-05T14:41:46+00:00 | [] | [] | TAGS
#license-cc #region-us
|
# Artic Dataset
This dataset was created using artic API, and the descriptions were scraped from the URL website. The scraping code is shared at URL
The images are hosted at this google cloud bucket The image filenames correspond to 'image_id' in the tabular dataset.
The description was only available for selected ... | [
"# Artic Dataset\n\nThis dataset was created using artic API, and the descriptions were scraped from the URL website. The scraping code is shared at URL\n\nThe images are hosted at this google cloud bucket The image filenames correspond to 'image_id' in the tabular dataset.\n\nThe description was only available for... | [
"TAGS\n#license-cc #region-us \n",
"# Artic Dataset\n\nThis dataset was created using artic API, and the descriptions were scraped from the URL website. The scraping code is shared at URL\n\nThe images are hosted at this google cloud bucket The image filenames correspond to 'image_id' in the tabular dataset.\n\nT... | [
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"passage: TAGS\n#license-cc #region-us \n# Artic Dataset\n\nThis dataset was created using artic API, and the descriptions were scraped from the URL website. The scraping code is shared at URL\n\nThe images are hosted at this google cloud bucket The image filenames correspond to 'image_id' in the tabular dataset.\n... |
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