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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a2bc8d5de70f89d889c35302656743bd5a00d576 |
# Dataset Card for ZINC
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric)
- [Data... | graphs-datasets/ZINC | [
"task_categories:graph-ml",
"license:unknown",
"region:us"
] | 2022-08-01T14:11:09+00:00 | {"license": "unknown", "task_categories": ["graph-ml"], "dataset_info": {"features": [{"name": "node_feat", "sequence": {"sequence": "int64"}}, {"name": "edge_index", "sequence": {"sequence": "int64"}}, {"name": "edge_attr", "sequence": {"sequence": "int64"}}, {"name": "y", "sequence": "float64"}, {"name": "num_nodes",... | 2023-02-07T16:37:32+00:00 | [] | [] | TAGS
#task_categories-graph-ml #license-unknown #region-us
| Dataset Card for ZINC
=====================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Information
+ Licensing In... | [
"### Dataset Summary\n\n\nThe 'ZINC' dataset is a \"curated collection of commercially available chemical compounds prepared especially for virtual screening\" (Wikipedia).",
"### Supported Tasks and Leaderboards\n\n\n'ZINC' should be used for molecular property prediction (aiming to predict the constrained solub... | [
"TAGS\n#task_categories-graph-ml #license-unknown #region-us \n",
"### Dataset Summary\n\n\nThe 'ZINC' dataset is a \"curated collection of commercially available chemical compounds prepared especially for virtual screening\" (Wikipedia).",
"### Supported Tasks and Leaderboards\n\n\n'ZINC' should be used for mo... | [
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"passage: TAGS\n#task_categories-graph-ml #license-unknown #region-us \n### Dataset Summary\n\n\nThe 'ZINC' dataset is a \"curated collection of commercially available chemical compounds prepared especially for virtual screening\" (Wikipedia).### Supported Tasks and Leaderboards\n\n\n'ZINC' should be used for molec... |
af9c040afaaa5902987bfcb3d4256c09239ec8ed |
# Dataset Card for PROTEINS
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric)
- [... | graphs-datasets/PROTEINS | [
"task_categories:graph-ml",
"license:unknown",
"region:us"
] | 2022-08-01T14:50:33+00:00 | {"license": "unknown", "task_categories": ["graph-ml"]} | 2023-02-07T16:39:11+00:00 | [] | [] | TAGS
#task_categories-graph-ml #license-unknown #region-us
| Dataset Card for PROTEINS
=========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Information
+ Lice... | [
"### Dataset Summary\n\n\nThe 'PROTEINS' dataset is a medium molecular property prediction dataset.",
"### Supported Tasks and Leaderboards\n\n\n'PROTEINS' should be used for molecular property prediction (aiming to predict whether molecules are enzymes or not), a binary classification task. The score used is acc... | [
"TAGS\n#task_categories-graph-ml #license-unknown #region-us \n",
"### Dataset Summary\n\n\nThe 'PROTEINS' dataset is a medium molecular property prediction dataset.",
"### Supported Tasks and Leaderboards\n\n\n'PROTEINS' should be used for molecular property prediction (aiming to predict whether molecules are ... | [
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"passage: TAGS\n#task_categories-graph-ml #license-unknown #region-us \n### Dataset Summary\n\n\nThe 'PROTEINS' dataset is a medium molecular property prediction dataset.### Supported Tasks and Leaderboards\n\n\n'PROTEINS' should be used for molecular property prediction (aiming to predict whether molecules are enz... |
d0d278691a40f1d671294d5f3690a18acf6e0270 |
# Dataset Card for MUTAG
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric)
- [Dat... | graphs-datasets/MUTAG | [
"task_categories:graph-ml",
"license:unknown",
"region:us"
] | 2022-08-01T14:58:02+00:00 | {"license": "unknown", "task_categories": ["graph-ml"]} | 2023-02-07T16:39:19+00:00 | [] | [] | TAGS
#task_categories-graph-ml #license-unknown #region-us
| Dataset Card for MUTAG
======================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Information
+ Licensing ... | [
"### Dataset Summary\n\n\nThe 'MUTAG' dataset is 'a collection of nitroaromatic compounds and the goal is to predict their mutagenicity on Salmonella typhimurium'.",
"### Supported Tasks and Leaderboards\n\n\n'MUTAG' should be used for molecular property prediction (aiming to predict whether molecules have a muta... | [
"TAGS\n#task_categories-graph-ml #license-unknown #region-us \n",
"### Dataset Summary\n\n\nThe 'MUTAG' dataset is 'a collection of nitroaromatic compounds and the goal is to predict their mutagenicity on Salmonella typhimurium'.",
"### Supported Tasks and Leaderboards\n\n\n'MUTAG' should be used for molecular ... | [
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"passage: TAGS\n#task_categories-graph-ml #license-unknown #region-us \n### Dataset Summary\n\n\nThe 'MUTAG' dataset is 'a collection of nitroaromatic compounds and the goal is to predict their mutagenicity on Salmonella typhimurium'.### Supported Tasks and Leaderboards\n\n\n'MUTAG' should be used for molecular pro... |
412288d7d6a1e6afc381bd89223e0a17c35b4875 |
# Dataset Card for IMDB-BINARY (IMDb-B)
## 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)
- [External Use](#external-use)
- [PyGeometric](#pyge... | graphs-datasets/IMDB-BINARY | [
"task_categories:graph-ml",
"license:unknown",
"region:us"
] | 2022-08-01T15:17:25+00:00 | {"license": "unknown", "task_categories": ["graph-ml"]} | 2023-02-07T16:39:00+00:00 | [] | [] | TAGS
#task_categories-graph-ml #license-unknown #region-us
| Dataset Card for IMDB-BINARY (IMDb-B)
=====================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additi... | [
"### Dataset Summary\n\n\nThe 'IMDb-B' dataset is \"a movie collaboration dataset that consists of the ego-networks of 1,000 actors/actresses who played roles in movies in IMDB. In each graph, nodes represent actors/actress, and there is an edge between them if they appear in the same movie. These graphs are derive... | [
"TAGS\n#task_categories-graph-ml #license-unknown #region-us \n",
"### Dataset Summary\n\n\nThe 'IMDb-B' dataset is \"a movie collaboration dataset that consists of the ego-networks of 1,000 actors/actresses who played roles in movies in IMDB. In each graph, nodes represent actors/actress, and there is an edge be... | [
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"passage: TAGS\n#task_categories-graph-ml #license-unknown #region-us \n### Dataset Summary\n\n\nThe 'IMDb-B' dataset is \"a movie collaboration dataset that consists of the ego-networks of 1,000 actors/actresses who played roles in movies in IMDB. In each graph, nodes represent actors/actress, and there is an edge... |
9e59fee55eef474310846d06a0fab238602a32d8 |
# BigScience BLOOM Evaluation Results
This repository contains evaluation results & original predictions of BLOOM & friends.
## Usage
You can load numeric results via:
```python
from datasets import load_dataset
ds = load_dataset("bigscience/evaluation-results", "bloom")
```
If it takes too long, it may be faster... | bigscience/evaluation-results | [
"task_categories:other",
"size_categories:100M<n<1B",
"region:us"
] | 2022-08-01T17:35:58+00:00 | {"size_categories": ["100M<n<1B"], "task_categories": ["other"], "pretty_name": "evaluation-results"} | 2023-05-27T23:13:53+00:00 | [] | [] | TAGS
#task_categories-other #size_categories-100M<n<1B #region-us
|
# BigScience BLOOM Evaluation Results
This repository contains evaluation results & original predictions of BLOOM & friends.
## Usage
You can load numeric results via:
If it takes too long, it may be faster to clone the repository and load the data from disk:
For example generations (.jsonl files), you need to... | [
"# BigScience BLOOM Evaluation Results\n\n\nThis repository contains evaluation results & original predictions of BLOOM & friends.",
"## Usage\n\nYou can load numeric results via:\n\n\nIf it takes too long, it may be faster to clone the repository and load the data from disk:\n\n\nFor example generations (.jsonl ... | [
"TAGS\n#task_categories-other #size_categories-100M<n<1B #region-us \n",
"# BigScience BLOOM Evaluation Results\n\n\nThis repository contains evaluation results & original predictions of BLOOM & friends.",
"## Usage\n\nYou can load numeric results via:\n\n\nIf it takes too long, it may be faster to clone the re... | [
26,
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"passage: TAGS\n#task_categories-other #size_categories-100M<n<1B #region-us \n# BigScience BLOOM Evaluation Results\n\n\nThis repository contains evaluation results & original predictions of BLOOM & friends.## Usage\n\nYou can load numeric results via:\n\n\nIf it takes too long, it may be faster to clone the repos... |
00649413018d64c58ab9b9e9008c51c84e3d1919 |
DALL-E-Cats is a dataset meant to produce a synthetic animal dataset. This is a successor to DALL-E-Dogs. DALL-E-Dogs and DALL-E-Cats will be fed into an image classifier to see how it performs. This is under the [BirdL-AirL License.](https://huggingface.co/spaces/BirdL/license/) | BirdL/DALL-E-Cats | [
"task_categories:image-classification",
"task_categories:unconditional-image-generation",
"size_categories:1K<n<10K",
"license:other",
"region:us"
] | 2022-08-01T19:37:15+00:00 | {"annotations_creators": [], "language_creators": [], "language": [], "license": ["other"], "multilinguality": [], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["image-classification", "unconditional-image-generation"], "task_ids": [], "pretty_name": "DALL-E Cats Dataset", "tags": []} | 2022-09-28T20:07:37+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-unconditional-image-generation #size_categories-1K<n<10K #license-other #region-us
|
DALL-E-Cats is a dataset meant to produce a synthetic animal dataset. This is a successor to DALL-E-Dogs. DALL-E-Dogs and DALL-E-Cats will be fed into an image classifier to see how it performs. This is under the BirdL-AirL License. | [] | [
"TAGS\n#task_categories-image-classification #task_categories-unconditional-image-generation #size_categories-1K<n<10K #license-other #region-us \n"
] | [
49
] | [
"passage: TAGS\n#task_categories-image-classification #task_categories-unconditional-image-generation #size_categories-1K<n<10K #license-other #region-us \n"
] |
a9f7f1ac75934a7c01d3ca02217544251939c881 | **Pexel Videos**
*358,551 video urls, average length 19.5s, and associated metadata from pexels.com.*
Data was extracted from their video sitemaps (pexels.com/robots.txt) on 01/08/2022.
Data is stored in PexelVideos.parquet.gzip as a gzipped parquet
To get this data ensure you have git installed and do !git lfs clo... | Corran/pexelvideos | [
"region:us"
] | 2022-08-02T01:57:25+00:00 | {} | 2022-08-08T12:22:04+00:00 | [] | [] | TAGS
#region-us
| Pexel Videos
*358,551 video urls, average length 19.5s, and associated metadata from URL.*
Data was extracted from their video sitemaps (URL on 01/08/2022.
Data is stored in URL as a gzipped parquet
To get this data ensure you have git installed and do !git lfs clone URL
In python the reccomended reading is by ope... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
923d33d0d849afee9887b1f80e71e686bb5a68af |
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1228646724
- CO2 Emissions (in grams): 1368.8941
## Validation Metrics
- Loss: 2.319
- Rouge1: 43.703
- Rouge2: 16.106
- RougeL: 23.715
- RougeLsum: 38.984
- Gen Len: 141.091
## Usage
You can use cURL to access this model:
```
$ curl -X PO... | ShreySavaliya/TextSummarisation | [
"language:unk",
"autotrain",
"summarization",
"region:us"
] | 2022-08-02T05:27:58+00:00 | {"language": ["unk"], "tags": ["autotrain", "summarization"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "datasets": ["vishw2703/autotrain-data-unisumm_3"], "co2_eq_emissions": {"emissions": 1368.894142563709}} | 2022-08-17T05:03:10+00:00 | [] | [
"unk"
] | TAGS
#language-Enawené-Nawé #autotrain #summarization #region-us
|
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1228646724
- CO2 Emissions (in grams): 1368.8941
## Validation Metrics
- Loss: 2.319
- Rouge1: 43.703
- Rouge2: 16.106
- RougeL: 23.715
- RougeLsum: 38.984
- Gen Len: 141.091
## Usage
You can use cURL to access this model:
| [
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"## Validation Metrics\n\n- Loss: 2.319\n- Rouge1: 43.703\n- Rouge2: 16.106\n- RougeL: 23.715\n- RougeLsum: 38.984\n- Gen Len: 141.091",
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7e7d231c127baf5185b7e25b3086591df61c5b07 | # 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: yhavinga/mt5-base-cnn-nl
* Dataset: ml6team/cnn_dailymail_nl
* Config: default
* Split: test
To run new evalu... | autoevaluate/autoeval-staging-eval-project-ml6team__cnn_dailymail_nl-612d6c13-12185622 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:39:57+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["ml6team/cnn_dailymail_nl"], "eval_info": {"task": "summarization", "model": "yhavinga/mt5-base-cnn-nl", "metrics": [], "dataset_name": "ml6team/cnn_dailymail_nl", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "art... | 2022-08-02T11:11:44+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: yhavinga/mt5-base-cnn-nl
* Dataset: ml6team/cnn_dailymail_nl
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's aut... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: yhavinga/mt5-base-cnn-nl\n* Dataset: ml6team/cnn_dailymail_nl\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hug... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: yhavinga/mt5-base-cnn-nl\n* Dataset: ml6team/cnn_dailymail_nl\n* Config: default\n* Spli... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: yhavinga/mt5-base-cnn-nl\n* Dataset: ml6team/cnn_dailymail_nl\n* Config: default\n* S... |
fbc605ed17bc3f3930bce6489c04f4cf3546cf91 | # 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: yhavinga/mt5-base-mixednews-nl
* Dataset: ml6team/cnn_dailymail_nl
* Config: default
* Split: test
To run new... | autoevaluate/autoeval-staging-eval-project-ml6team__cnn_dailymail_nl-612d6c13-12185623 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:40:05+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["ml6team/cnn_dailymail_nl"], "eval_info": {"task": "summarization", "model": "yhavinga/mt5-base-mixednews-nl", "metrics": [], "dataset_name": "ml6team/cnn_dailymail_nl", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text"... | 2022-08-02T11:32:01+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: yhavinga/mt5-base-mixednews-nl
* Dataset: ml6team/cnn_dailymail_nl
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face... | [
"# 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: yhavinga/mt5-base-mixednews-nl\n* Dataset: ml6team/cnn_dailymail_nl\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, vis... | [
"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: yhavinga/mt5-base-mixednews-nl\n* Dataset: ml6team/cnn_dailymail_nl\n* Config: default\n... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: yhavinga/mt5-base-mixednews-nl\n* Dataset: ml6team/cnn_dailymail_nl\n* Config: defaul... |
19cda222ed39522c3b1b340261a5ba09766d9d4b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-large-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To ru... | autoevaluate/autoeval-staging-eval-project-adversarial_qa-1cd241d3-12195624 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:40:12+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/roberta-large-squad2", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping": {... | 2022-08-02T09:42:07+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-large-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
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: Question Answering\n* Model: deepset/roberta-large-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQA\n* Split: validation\n\nTo run new evaluation jobs... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-large-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQA\n*... | [
13,
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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: Question Answering\n* Model: deepset/roberta-large-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQA... |
681f907c1bfc909157ce2fb38f101ab336764137 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-large-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
T... | autoevaluate/autoeval-staging-eval-project-adversarial_qa-e34332b7-12205625 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:40:14+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/xlm-roberta-large-squad2", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping... | 2022-08-02T09:42:37+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-large-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hug... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/xlm-roberta-large-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQA\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: Question Answering\n* Model: deepset/xlm-roberta-large-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQ... | [
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4c021cc32cf68644cdf094a49154425f1089a8ec | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-base-squad2-distilled
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validati... | autoevaluate/autoeval-staging-eval-project-adversarial_qa-e34332b7-12205626 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:40:19+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/roberta-base-squad2-distilled", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_ma... | 2022-08-02T09:41:34+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-base-squad2-distilled
* Dataset: adversarial_qa
* Config: adversarialQA
* 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: Question Answering\n* Model: deepset/roberta-base-squad2-distilled\n* Dataset: adversarial_qa\n* Config: adversarialQA\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: Question Answering\n* Model: deepset/roberta-base-squad2-distilled\n* Dataset: adversarial_qa\n* Config: adversa... | [
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8b13664c3be80d2efe8e51c4d2f9404d854d9872 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-base-squad2-distilled
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: vali... | autoevaluate/autoeval-staging-eval-project-adversarial_qa-e34332b7-12205627 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:40:27+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/xlm-roberta-base-squad2-distilled", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "co... | 2022-08-02T09:41:51+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-base-squad2-distilled
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/xlm-roberta-base-squad2-distilled\n* Dataset: adversarial_qa\n* Config: adversarialQA\n* Split: validation\n\nTo run new ev... | [
"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: Question Answering\n* Model: deepset/xlm-roberta-base-squad2-distilled\n* Dataset: adversarial_qa\n* Config: adv... | [
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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: Question Answering\n* Model: deepset/xlm-roberta-base-squad2-distilled\n* Dataset: adversarial_qa\n* Config: ... |
7af19d4b60ccd712521d35090b9a032bda03374c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/tinybert-6l-768d-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To... | autoevaluate/autoeval-staging-eval-project-adversarial_qa-e34332b7-12205628 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:40:35+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/tinybert-6l-768d-squad2", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping"... | 2022-08-02T09:41:46+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/tinybert-6l-768d-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
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: Question Answering\n* Model: deepset/tinybert-6l-768d-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQA\n* Split: validation\n\nTo run new evaluation j... | [
"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: Question Answering\n* Model: deepset/tinybert-6l-768d-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQA... | [
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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: Question Answering\n* Model: deepset/tinybert-6l-768d-squad2\n* Dataset: adversarial_qa\n* Config: adversaria... |
687b60cfba2df04d63b009179832de2e6b5e2db6 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-uncased-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
T... | autoevaluate/autoeval-staging-eval-project-adversarial_qa-e34332b7-12205629 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:40:38+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/bert-base-uncased-squad2", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping... | 2022-08-02T09:41:55+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-uncased-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hug... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-base-uncased-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQA\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: Question Answering\n* Model: deepset/bert-base-uncased-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQ... | [
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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: Question Answering\n* Model: deepset/bert-base-uncased-squad2\n* Dataset: adversarial_qa\n* Config: adversari... |
39c4d334cad8018816b024476a85c85a11f082c2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: Rhuax/MiniLMv2-L12-H384-distilled-finetuned-spam-detection
* Dataset: sms_spam
* Config: plain_te... | autoevaluate/autoeval-staging-eval-project-sms_spam-216c1ded-12215630 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:40:39+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["sms_spam"], "eval_info": {"task": "binary_classification", "model": "Rhuax/MiniLMv2-L12-H384-distilled-finetuned-spam-detection", "metrics": [], "dataset_name": "sms_spam", "dataset_config": "plain_text", "dataset_split": "train", "col_mapping":... | 2022-08-02T09:41:15+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: Rhuax/MiniLMv2-L12-H384-distilled-finetuned-spam-detection
* Dataset: sms_spam
* Config: plain_text
* Split: train
To run new evalua... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: Rhuax/MiniLMv2-L12-H384-distilled-finetuned-spam-detection\n* Dataset: sms_spam\n* Config: plain_text\n* Split: train\n\nTo... | [
"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: Binary Text Classification\n* Model: Rhuax/MiniLMv2-L12-H384-distilled-finetuned-spam-detection\n* Dataset: sms_... | [
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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: Binary Text Classification\n* Model: Rhuax/MiniLMv2-L12-H384-distilled-finetuned-spam-detection\n* Dataset: s... |
6500ed59d1b0764caa2b526bb72c66f097e95f8d | # 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/led_pubmed_sumpubmed_1
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To ... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-54a73f7a-12235635 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:42:38+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/led_pubmed_sumpubmed_1", "metrics": ["bertscore"], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "test", "col_mappi... | 2022-08-02T10:31:13+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/led_pubmed_sumpubmed_1
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
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: Blaise-g/led_pubmed_sumpubmed_1\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new evaluation jo... | [
"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: Blaise-g/led_pubmed_sumpubmed_1\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumP... | [
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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: Blaise-g/led_pubmed_sumpubmed_1\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--S... |
28e036a2c5176b700ef625b46740702b23034dd1 | # 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/led_pubmed_sumpubmed_2
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To ... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-54a73f7a-12235636 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:42:44+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/led_pubmed_sumpubmed_2", "metrics": ["bertscore"], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "test", "col_mappi... | 2022-08-02T10:29:01+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: Blaise-g/led_pubmed_sumpubmed_2
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
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: Blaise-g/led_pubmed_sumpubmed_2\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new evaluation jo... | [
"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: Blaise-g/led_pubmed_sumpubmed_2\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumP... | [
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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: Blaise-g/led_pubmed_sumpubmed_2\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--S... |
25e614252e9ce89fcf8cc4af6e918711cbb3c528 | # 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/long_t5_global_large_pubmed_explanatory
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
*... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-54a73f7a-12235637 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:42:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/long_t5_global_large_pubmed_explanatory", "metrics": ["bertscore"], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "... | 2022-08-02T12:26:39+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/long_t5_global_large_pubmed_explanatory
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To run new evaluation ... | [
"# 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/long_t5_global_large_pubmed_explanatory\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run ... | [
"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: Blaise-g/long_t5_global_large_pubmed_explanatory\n* Dataset: Blaise-g/SumPubmed\n* Confi... | [
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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: Blaise-g/long_t5_global_large_pubmed_explanatory\n* Dataset: Blaise-g/SumPubmed\n* Co... |
61b61341f2e6e3ff845cbb5c2a6a8ecf5f798cc9 | # 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/led_large_baseline_pubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-93d67e8f-12255638 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:43:35+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/led_large_baseline_pubmed", "metrics": [], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "test", "col_mapping": {"t... | 2022-08-02T11:01:02+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: Blaise-g/led_large_baseline_pubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: Blaise-g/led_large_baseline_pubmed\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: Blaise-g/led_large_baseline_pubmed\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--S... | [
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18d6acb7b5eb51e83b9c02b70eed7f33c76c8075 | # 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/long_t5_global_large_baseline_pubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Sp... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-93d67e8f-12255639 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:43:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/long_t5_global_large_baseline_pubmed", "metrics": [], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "test", "col_ma... | 2022-08-02T18:47:37+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/long_t5_global_large_baseline_pubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To run new evaluation job... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: Blaise-g/long_t5_global_large_baseline_pubmed\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: Blaise-g/long_t5_global_large_baseline_pubmed\n* Dataset: Blaise-g/SumPubmed\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: Summarization\n* Model: Blaise-g/long_t5_global_large_baseline_pubmed\n* Dataset: Blaise-g/SumPubmed\n* Confi... |
4f333c302ff8acf17091c65ea016973bea5b55fd | # 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/long_t5_global_large_baseline_pubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Sp... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-3c512f6e-12265641 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:44:42+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/long_t5_global_large_baseline_pubmed", "metrics": ["bertscore"], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "tes... | 2022-08-02T18:53:52+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: Blaise-g/long_t5_global_large_baseline_pubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To run new evaluation job... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: Blaise-g/long_t5_global_large_baseline_pubmed\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: Blaise-g/long_t5_global_large_baseline_pubmed\n* Dataset: Blaise-g/SumPubmed\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: Summarization\n* Model: Blaise-g/long_t5_global_large_baseline_pubmed\n* Dataset: Blaise-g/SumPubmed\n* Confi... |
4d959d3ddcccbcdc6bd5eb9263a0bfe1ac4c21bf | # 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/led_large_baseline_pubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-3c512f6e-12265640 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:44:45+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/led_large_baseline_pubmed", "metrics": ["bertscore"], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "test", "col_ma... | 2022-08-02T11:23:15+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: Blaise-g/led_large_baseline_pubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: Blaise-g/led_large_baseline_pubmed\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: Blaise-g/led_large_baseline_pubmed\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--S... | [
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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: Blaise-g/led_large_baseline_pubmed\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g... |
47c39cc6f07bdfdb281cfe463ec5fa20b6d51a47 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt
* Dataset: cuad
* Config: default
* Split: test
To run ne... | autoevaluate/autoeval-staging-eval-project-cuad-e5412c0a-12275642 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T09:45:32+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cuad"], "eval_info": {"task": "extractive_question_answering", "model": "21iridescent/RoBERTa-base-finetuned-squad2-lwt", "metrics": [], "dataset_name": "cuad", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"context": "co... | 2022-08-02T10:21:22+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt
* Dataset: cuad
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Fac... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt\n* Dataset: cuad\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, vi... | [
"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: Question Answering\n* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt\n* Dataset: cuad\n* Config: default\... | [
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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: Question Answering\n* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt\n* Dataset: cuad\n* Config: defau... |
2dbc0d5727ee0cfa7704021bc39a9480f8ee1a7d | # 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/led_pubmed_sumpubmed_3
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To ... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-c8bf564e-12335643 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T15:46:13+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/led_pubmed_sumpubmed_3", "metrics": ["bertscore"], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "test", "col_mappi... | 2022-08-02T16:24:17+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/led_pubmed_sumpubmed_3
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
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: Blaise-g/led_pubmed_sumpubmed_3\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new evaluation jo... | [
"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: Blaise-g/led_pubmed_sumpubmed_3\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumP... | [
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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: Blaise-g/led_pubmed_sumpubmed_3\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--S... |
691cb00d999c35d401985121f2ee489b2b8f5de6 | # 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/led_pubmed_sumpubmed_4
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To ... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-c8bf564e-12335644 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T15:46:17+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/led_pubmed_sumpubmed_4", "metrics": ["bertscore"], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "test", "col_mappi... | 2022-08-02T16:43:11+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: Blaise-g/led_pubmed_sumpubmed_4
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
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: Blaise-g/led_pubmed_sumpubmed_4\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new evaluation jo... | [
"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: Blaise-g/led_pubmed_sumpubmed_4\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumP... | [
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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: Blaise-g/led_pubmed_sumpubmed_4\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--S... |
e3fe65be167f5aa4698afaa58d32d3eeaf834c71 | # 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/led_pubmed_sumpubmed_5
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To ... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-c8bf564e-12335645 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T15:46:27+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/led_pubmed_sumpubmed_5", "metrics": ["bertscore"], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "test", "col_mappi... | 2022-08-02T16:55:50+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/led_pubmed_sumpubmed_5
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
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: Blaise-g/led_pubmed_sumpubmed_5\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new evaluation jo... | [
"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: Blaise-g/led_pubmed_sumpubmed_5\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumP... | [
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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: Blaise-g/led_pubmed_sumpubmed_5\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--S... |
42a9884a2e30084417f497d64829ff3d7162492f | # 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-WIP10
* Dataset: kmfoda/booksum
* Config: kmfoda--books... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-07d54673-12345646 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T17:57:01+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP10", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col... | 2022-08-03T20:34:30+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: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP10
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP10\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo ... | [
"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/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP10\n* Dataset: kmfoda/booksum\... | [
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0761f2c5a7799569a8662dcc39a352206225b43d | # 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-WIP10
* Dataset: xsum
* Config: default
* Split: test
... | autoevaluate/autoeval-staging-eval-project-xsum-19ae30f1-12355647 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T18:01:48+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP10", "metrics": [], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "documen... | 2022-08-04T02:41:57+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-WIP10
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP10\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP10\n* Dataset: xsum\n* Config:... | [
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50e25ed78f4fc72fbfca9fe76a910ce67088667e |
This dataset consists of a approx 50k collection of research articles from **PubMed** repository. Originally these documents are manually annotated by Biomedical Experts with their MeSH labels and each articles are described in terms of 10-15 MeSH labels. In this Dataset we have huge numbers of labels present as a MeS... | owaiskha9654/PubMed_MultiLabel_Text_Classification_Dataset_MeSH | [
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"task_ids:multi-label-classification",
"size_categories:10K<n<100K",
"source_datasets:BioASQ Task A",
"language:en",
"license:afl-3.0",
"region:us"
] | 2022-08-02T19:13:50+00:00 | {"language": ["en"], "license": "afl-3.0", "size_categories": ["10K<n<100K"], "source_datasets": ["BioASQ Task A"], "task_categories": ["text-classification"], "task_ids": ["multi-label-classification"], "pretty_name": "BioASQ, PUBMED"} | 2023-01-30T09:50:44+00:00 | [] | [
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] | TAGS
#task_categories-text-classification #task_ids-multi-label-classification #size_categories-10K<n<100K #source_datasets-BioASQ Task A #language-English #license-afl-3.0 #region-us
|
This dataset consists of a approx 50k collection of research articles from PubMed repository. Originally these documents are manually annotated by Biomedical Experts with their MeSH labels and each articles are described in terms of 10-15 MeSH labels. In this Dataset we have huge numbers of labels present as a MeSH ma... | [] | [
"TAGS\n#task_categories-text-classification #task_ids-multi-label-classification #size_categories-10K<n<100K #source_datasets-BioASQ Task A #language-English #license-afl-3.0 #region-us \n"
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] |
ba2fde998044a29968fa13af93c291be5626bff5 | # 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/led-large-sumpubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To run... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-f53a4404-12415653 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-02T19:16:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/led-large-sumpubmed", "metrics": [], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "test", "col_mapping": {"text": ... | 2022-08-02T21:14:52+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: Blaise-g/led-large-sumpubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* 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/led-large-sumpubmed\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new evaluation jobs,... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: Blaise-g/led-large-sumpubmed\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubm... | [
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162574e34bf5cd64881b2689909f43b0aa971a0b | # laion2B-multi-korean-subset
## Dataset Description
- **Homepage:** [laion-5b](https://laion.ai/blog/laion-5b/)
- **Huggingface:** [laion/laion2B-multi](https://huggingface.co/datasets/laion/laion2B-multi)
## About dataset
a subset data of [laion/laion2B-multi](https://huggingface.co/datasets/laion/laion2B-multi), i... | Bingsu/laion2B-multi-korean-subset | [
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"license:cc-by-4.0",
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] | 2022-08-03T05:57:55+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ko"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "task_categories": ["feature-extraction"], "pretty_name": "laion2B-multi-korean-subset"} | 2022-10-14T04:23:17+00:00 | [] | [
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| laion2B-multi-korean-subset
===========================
Dataset Description
-------------------
* Homepage: laion-5b
* Huggingface: laion/laion2B-multi
About dataset
-------------
a subset data of laion/laion2B-multi, including only korean
### Lisence
CC-BY-4.0
Data Structure
--------------
### Data Ins... | [
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5e4902d05a661db4ce45d0297930102ebb3d4ebf | maydataset | NitishKarra/mayds | [
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9a801afa9c04957bcc709e5a8e298ffd6a660a3e | newwdATAASEt
| NitishKarra/mydsssss | [
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454f4d08791516ecf455762cea2a931a1e3b2650 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: lvwerra/distilbert-imdb
* Dataset: imdb
* Config: plain_text
* Split: test
To run new evaluation... | autoevaluate/autoeval-staging-eval-project-imdb-f49f2e4f-12435655 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-03T06:50:05+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["imdb"], "eval_info": {"task": "binary_classification", "model": "lvwerra/distilbert-imdb", "metrics": [], "dataset_name": "imdb", "dataset_config": "plain_text", "dataset_split": "test", "col_mapping": {"text": "text", "target": "label"}}} | 2022-08-03T06:51:43+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: lvwerra/distilbert-imdb
* Dataset: imdb
* Config: plain_text
* Split: test
To run new evaluation jobs, visit Hugging Face's automati... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: lvwerra/distilbert-imdb\n* Dataset: imdb\n* Config: plain_text\n* Split: test\n\nTo run new evaluation jobs, visit Hugging ... | [
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00ebce44a5ccead88cdad67882e7ecc32ae3debd | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: lvwerra/distilbert-imdb
* Dataset: imdb
* Config: plain_text
* Split: test
To run new evaluation... | autoevaluate/autoeval-staging-eval-project-imdb-ed2a920e-12445656 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-03T06:50:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["imdb"], "eval_info": {"task": "binary_classification", "model": "lvwerra/distilbert-imdb", "metrics": [], "dataset_name": "imdb", "dataset_config": "plain_text", "dataset_split": "test", "col_mapping": {"text": "text", "target": "label"}}} | 2022-08-03T06:52:28+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: Binary Text Classification
* Model: lvwerra/distilbert-imdb
* Dataset: imdb
* Config: plain_text
* Split: test
To run new evaluation jobs, visit Hugging Face's automati... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: lvwerra/distilbert-imdb\n* Dataset: imdb\n* Config: plain_text\n* Split: test\n\nTo run new evaluation jobs, visit Hugging ... | [
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8aec023a4a4de9d01302f33f9fc1d7331c2ca7ca | ### Dataset Summary
Dataset of satirical news from "Panorama", Russian "The Onion".
### Dataset Format
Dataset is in JSONLines format, where "title" is the article title, and "body" are contents of the article. | its5Q/panorama | [
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"pano... | 2022-08-03T08:04:25+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["other"], "language": ["ru"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "Datas... | 2022-08-05T17:18:10+00:00 | [] | [
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| ### Dataset Summary
Dataset of satirical news from "Panorama", Russian "The Onion".
### Dataset Format
Dataset is in JSONLines format, where "title" is the article title, and "body" are contents of the article. | [
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dfc66dcde3cd3a6d09c28da9890115ae6c3e807e | dmartbillsdsd | NitishKarra/Dmart_ds | [
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4d2a8a09970f5779705814c8b0aef7e4eed2244d | bus_bills | NitishKarra/Nitishh | [
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9da612b1bb02c71e04e79758e84bf9f81b9cb93d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-large-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new eva... | autoevaluate/autoeval-staging-eval-project-squad-6abc415f-12465657 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-03T13:48:33+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/deberta-v3-large-squad2", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "contex... | 2022-08-03T13:56:07+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-large-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's a... | [
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05b0e1d75a024403670f58bdcc28e87d7930d1c1 | invoice bills | NitishKarra/invoioc | [
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afda465737e77099473336b4caf60b70fe969dcc |
# Dataset Card for Multi-LexSum
## Table of Contents
- [Dataset Card for Multi-LexSum](#dataset-card-for-multi-lexsum)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset](#dataset)
- [Data ... | allenai/multi_lexsum | [
"task_categories:summarization",
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"license:odc-by",
"arxiv:2206.10883",
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] | 2022-08-03T14:51:10+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["odc-by"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K", "10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": [], "pretty_name": "Multi-LexSum... | 2023-05-18T20:41:22+00:00 | [
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| Dataset Card for Multi-LexSum
=============================
Table of Contents
-----------------
* Dataset Card for Multi-LexSum
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Languages
+ Dataset
- Data Fields
- Data Splits
+ Dataset Sheet (Datasheet)
+ Additional Information
- Dataset ... | [
"### Talk @ NeurIPS 2022\n\n\n![Watch the video](URL",
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instanc... | alex-apostolo/filtered-cuad | [
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| Dataset Card for filtered\_cuad
===============================
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
+... | [
"### Dataset Summary\n\n\nContract Understanding Atticus Dataset (CUAD) v1 is a corpus of more than 13,000 labels in 510 commercial legal contracts that have been manually labeled to identify 41 categories of important clauses that lawyers look for when reviewing contracts in connection with corporate transactions.... | [
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eb29fab27c5ca7b37d973b117f82ae60bedb1bad | # AutoTrain Dataset for project: sample-diabetes-predict
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project sample-diabetes-predict.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks... | Plashkar/diabetes-predict-db | [
"region:us"
] | 2022-08-03T15:19:11+00:00 | {} | 2022-08-03T15:22:23+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: sample-diabetes-predict
======================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project sample-diabetes-predict.
### Languages
The BCP-47 code for the dataset's language is unk.
... | [
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88c8874b5003f5defca3f2aad8031d5925ac3f8c | # 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: yhavinga/long-t5-tglobal-small-dutch-cnn
* Dataset: ml6team/cnn_dailymail_nl
* Config: default
* Split: test
... | autoevaluate/autoeval-staging-eval-project-ml6team__cnn_dailymail_nl-bfaf23ee-12505670 | [
"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: yhavinga/long-t5-tglobal-small-dutch-cnn
* Dataset: ml6team/cnn_dailymail_nl
* Config: default
* Split: test
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: yhavinga/long-t5-tglobal-small-dutch-cnn\n* Dataset: ml6team/cnn_dailymail_nl\n* Config: default\n* Split: test\n\nTo run new evaluation... | [
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30cebad0e823eb4ab1becef422f44931b4da5b7e | # 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/long_t5_global_large_pubmed_explanatory
* Dataset: ben-yu/ms2_combined
* Config: ben-yu--ms2_combined... | autoevaluate/autoeval-staging-eval-project-ben-yu__ms2_combined-823f066f-12515671 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-04T02:44:17+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["ben-yu/ms2_combined"], "eval_info": {"task": "summarization", "model": "Blaise-g/long_t5_global_large_pubmed_explanatory", "metrics": [], "dataset_name": "ben-yu/ms2_combined", "dataset_config": "ben-yu--ms2_combined", "dataset_split": "train", ... | 2022-08-04T19:56:42+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: Blaise-g/long_t5_global_large_pubmed_explanatory
* Dataset: ben-yu/ms2_combined
* Config: ben-yu--ms2_combined
* Split: train
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: Blaise-g/long_t5_global_large_pubmed_explanatory\n* Dataset: ben-yu/ms2_combined\n* Config: ben-yu--ms2_combined\n* Split: train\n\nTo r... | [
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bd3854b9bb621424168dbfa48790db5385bc7a65 | # 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-WIP10
* Dataset: samsum
* Config: samsum
* Split: test
... | autoevaluate/autoeval-staging-eval-project-samsum-99725515-12535673 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-04T03:35:30+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP10", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dial... | 2022-08-04T04:08:25+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP10
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit H... | [
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cf293f7e3c683acacd14e082b236f5145eb3f85e | # 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: xsum
* Config: default
* Split: test
To... | autoevaluate/autoeval-staging-eval-project-xsum-d2b9e56c-12525674 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-04T03:36:46+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP", "metrics": [], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document"... | 2022-08-05T09:19:15+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP
* Dataset: xsum
* 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: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo run new evaluation j... | [
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aaa27bc25d2c67b9870d4a6390ba6cbd30a7e558 | # 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: Jacobsith/autotrain-Hello_there-1209845735
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-d94a9931-12545675 | [
"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: Jacobsith/autotrain-Hello_there-1209845735
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To run new evaluation jobs, ... | [
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8e38dfd0ff467955d47a0369af72b2a536a2e3c4 |
annotations_creators:
- found
language:
- Russian
language_creators:
- found
license:
- other
multilinguality:
- monolingual
pretty_name: trans_dataset
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- trans
- piska
task_categories:
- text-classification
task_ids:
- multi-class-classification
## Table o... | merkalo-ziri/trans_dataset | [
"region:us"
] | 2022-08-04T09:14:45+00:00 | {} | 2022-08-04T09:29:44+00:00 | [] | [] | TAGS
#region-us
|
annotations_creators:
- found
language:
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language_creators:
- found
license:
- other
multilinguality:
- monolingual
pretty_name: trans_dataset
size_categories:
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source_datasets:
- original
tags:
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- piska
task_categories:
- text-classification
task_ids:
- multi-class-classification
## Table o... | [
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24b1ead0d5b681ab6350c049a5b6720bfddf384c | # Dataset Card for WITS
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
## Dat... | silvia-casola/WITS | [
"region:us"
] | 2022-08-04T10:57:13+00:00 | {} | 2022-08-04T12:33:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for WITS
## Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Additional Information
- Licensing Information
- Citation Information
## Dataset Description
- Repository: URL
- Paper: URL
### Dataset Summary
WITS (Wikipedia for Italian Text Summarization) is a large-scale ... | [
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"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Languages\n- Additional Information\n - Licensing Information\n - Citation Information",
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7b384a7d95575d3c128031a3a3654d21f4528c18 |
# Dataset Card for severo/embellishments
Test: link to a space:
https://huggingface.co/spaces/severo/voronoi-cloth
https://severo-voronoi-cloth.hf.space
## Dataset Description
- **Homepage:** [Digitised Books - Images identified as Embellishments - Homepage](https://bl.iro.bl.uk/concern/datasets/59d1aa35-c2d7-46... | severo/dummy_public_renamed | [
"annotations_creators:no-annotation",
"size_categories:n<1K",
"source_datasets:original",
"license:cc0-1.0",
"region:us"
] | 2022-08-04T13:25:55+00:00 | {"annotations_creators": ["no-annotation"], "license": "cc0-1.0", "size_categories": ["n<1K"], "source_datasets": ["original"], "pretty_name": "Digitised Books - Images identified as Embellishments. c. 1510 - c. 1900. JPG"} | 2023-10-04T08:25:29+00:00 | [] | [] | TAGS
#annotations_creators-no-annotation #size_categories-n<1K #source_datasets-original #license-cc0-1.0 #region-us
|
# Dataset Card for severo/embellishments
Test: link to a space:
URL
URL
## Dataset Description
- Homepage: Digitised Books - Images identified as Embellishments - Homepage
- Point of Contact: Sylvain Lesage
### Dataset Summary
This small dataset contains the thumbnails of the first 100 entries of Digitised Boo... | [
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"## Dataset Description\n\n- Homepage: Digitised Books - Images identified as Embellishments - Homepage\n- Point of Contact: Sylvain Lesage",
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1cc5ff914b850c92808d1a9c92082d8d6101b165 | EN-ME Special Chars is a dataset of roughly 58000 aligned sentence pairs in English and Middle English, collected from the works of Geoffrey Chaucer, John Wycliffe, and the Gawain Poet.
It includes special characters such as þ.
This dataset reflects the spelling inconsistencies characteristic of Middle English.
| Qilex/EN-ME | [
"task_categories:translation",
"multilinguality:translation",
"size_categories:10K<n<100K",
"language:en",
"language:me",
"license:afl-3.0",
"middle english",
"region:us"
] | 2022-08-04T16:13:33+00:00 | {"language": ["en", "me"], "license": ["afl-3.0"], "multilinguality": ["translation"], "size_categories": ["10K<n<100K"], "task_categories": ["translation"], "pretty_name": "EN-ME", "tags": ["middle english"]} | 2022-08-11T20:25:34+00:00 | [] | [
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#task_categories-translation #multilinguality-translation #size_categories-10K<n<100K #language-English #language-me #license-afl-3.0 #middle english #region-us
| EN-ME Special Chars is a dataset of roughly 58000 aligned sentence pairs in English and Middle English, collected from the works of Geoffrey Chaucer, John Wycliffe, and the Gawain Poet.
It includes special characters such as þ.
This dataset reflects the spelling inconsistencies characteristic of Middle English.
| [] | [
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] |
231c30478949022b78907358aa07d7eefee8c7e4 | The dataset contains the well balanced disaster and none disaster tweets selected from 2011, 2012, 2013, 2014, 2015, 2017 and 2018.
The predicted label is shown in predict column | sacculifer/dimbat_disaster_detection | [
"region:us"
] | 2022-08-04T22:08:54+00:00 | {} | 2022-08-05T12:18:31+00:00 | [] | [] | TAGS
#region-us
| The dataset contains the well balanced disaster and none disaster tweets selected from 2011, 2012, 2013, 2014, 2015, 2017 and 2018.
The predicted label is shown in predict column | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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cd13d68018443758e8888f79e79709e69e032e73 | ## Labels
- biological --- 1
- earthquake --- 2
- flood --- 3
- hurricane & tornado --- 4
- wildfire --- 5
- industrial --- 6
- societal --- 7
- transportation --- 8
- meteor --- 9
- haze --- 10 | sacculifer/dimbat_disaster_type_detection | [
"region:us"
] | 2022-08-04T22:39:30+00:00 | {} | 2022-08-05T08:35:34+00:00 | [] | [] | TAGS
#region-us
| ## Labels
- biological --- 1
- earthquake --- 2
- flood --- 3
- hurricane & tornado --- 4
- wildfire --- 5
- industrial --- 6
- societal --- 7
- transportation --- 8
- meteor --- 9
- haze --- 10 | [
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] |
9f538df29ee297a7750ec7d270ab49b7810e8b31 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Translation
* Model: Lvxue/finetuned-mt5-small-10epoch
* Dataset: wmt16
* Config: ro-en
* Split: test
To run new evaluation jobs, vi... | autoevaluate/autoeval-staging-eval-project-wmt16-d9e39a12-12565676 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-05T01:13:09+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["wmt16"], "eval_info": {"task": "translation", "model": "Lvxue/finetuned-mt5-small-10epoch", "metrics": [], "dataset_name": "wmt16", "dataset_config": "ro-en", "dataset_split": "test", "col_mapping": {"source": "translation.en", "target": "transl... | 2022-08-05T01:14:27+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: Translation
* Model: Lvxue/finetuned-mt5-small-10epoch
* Dataset: wmt16
* Config: ro-en
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model e... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Translation\n* Model: Lvxue/finetuned-mt5-small-10epoch\n* Dataset: wmt16\n* Config: ro-en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's au... | [
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403489eb4daef8bd3b2f1b54cfb0ca07c1490ee5 |
### Dataset Summary
Placeholder
You can load the dataset via:
```
import datasets
data = datasets.load_dataset('GEM/wiki_lingua')
```
The data loader can be found [here](https://huggingface.co/datasets/GEM/wiki_lingua).
#### website
None (See Repository)
#### paper
https://www.aclweb.org/anthology/2020.findings-emnlp... | vector/test_demo | [
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### Dataset Summary
Placeholder
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---
# Dataset Card for [Dataset Name]
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287b269de92b7833e9d2a27177dfad0d1dec0eff |
# Dataset Card for `reviews_with_drift`
## Table of Contents
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# Dataset Card for 'reviews_with_drift'
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e6a474f5ff4133338b4b9b5e393bad65e787b152 |
## Dataset Description
- **Repository:** [SLED Github repository](https://github.com/Mivg/SLED)
- **Paper:** [Efficient Long-Text Understanding with Short-Text Models
](https://arxiv.org/pdf/2208.00748.pdf)
# Dataset Card for SCROLLS
## Overview
This dataset is based on the [SCROLLS](https://huggingface.co/datasets/... | tau/sled | [
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## Dataset Description
- Repository: SLED Github repository
- Paper: Efficient Long-Text Understanding with Short-Text Models
# Dataset Card for SCROLLS
## Overview
This dataset is based on the SCROLLS dataset (paper), the SQuAD 1.1 dataset and the HotpotQA dataset.
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ac1325919b9de7b6daf6bff34d77ccff838ea52d |
Knowledge graph triple to answer verbalization dataset.
VANiLLa: Verbalized answers in natural language at large scale
| rony/VANiLLa | [
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|
Knowledge graph triple to answer verbalization dataset.
VANiLLa: Verbalized answers in natural language at large scale
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b59d979a9ee1e04ae424a714479df4baa273396e |
# Dataset Card for Norwegian PAWS-X
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-spl... | NbAiLab/norwegian-paws-x | [
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# Dataset Card for Norwegian PAWS-X
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4030949b0360722d8853eb01d407393de0b40bad |
# Dataset Card for Indonesian Google Play Review
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
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- [Languages](#languages)
- [Dataset Structu... | jakartaresearch/google-play-review | [
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# Dataset Card for Indonesian Google Play Review
## Table of Contents
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e758e7c5ea70be1fcfd0287c8a798ff91ff6e3d4 | # 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: L-macc/autotrain-Biomedical_sc_summ-1217846148
* Dataset: Blaise-g/SumPubmed
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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: L-macc/autotrain-Biomedical_sc_summ-1217846148
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
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53ad23a7638e94f869adadb1bad94c93d6de0854 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
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* Model: L-macc/autotrain-Biomedical_sc_summ-1217846144
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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: L-macc/autotrain-Biomedical_sc_summ-1217846144
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
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3ea2191ea55e1d81f858bec4b51fb42cda713184 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
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* Model: L-macc/autotrain-Biomedical_sc_summ-1217846142
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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: L-macc/autotrain-Biomedical_sc_summ-1217846142
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
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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: L-macc/autotrain-Biomedical_sc_summ-1217846142\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run ne... | [
"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: L-macc/autotrain-Biomedical_sc_summ-1217846142\n* Dataset: Blaise-g/SumPubmed\n* Config:... | [
13,
112,
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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: L-macc/autotrain-Biomedical_sc_summ-1217846142\n* Dataset: Blaise-g/SumPubmed\n* Conf... |
2f911a890c1c1b9220100b4c83cfec52bc6cfe96 | # 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/long_t5_global_large_pubmed_wip2
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split:... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-c887ce73-12585680 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-06T07:48:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/long_t5_global_large_pubmed_wip2", "metrics": [], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "test", "col_mappin... | 2022-08-06T15:29:37+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/long_t5_global_large_pubmed_wip2
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To run new evaluation jobs, v... | [
"# 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/long_t5_global_large_pubmed_wip2\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new eva... | [
"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: Blaise-g/long_t5_global_large_pubmed_wip2\n* Dataset: Blaise-g/SumPubmed\n* Config: Blai... | [
13,
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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: Blaise-g/long_t5_global_large_pubmed_wip2\n* Dataset: Blaise-g/SumPubmed\n* Config: B... |
6a30110f887edd7edbad033275aa853ddd8c4a26 |
# Dataset Card for CLEVR-Math
## 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-struct... | dali-does/clevr-math | [
"task_categories:visual-question-answering",
"task_ids:visual-question-answering",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"source_datasets:clevr",
"language:en",
"license:cc-by-4.0",
"reasoning",
"neuro-symbolic",
"multimod... | 2022-08-06T11:09:39+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "source_datasets": ["clevr"], "task_categories": ["visual-question-answering"], "task_ids": ["visual-question-answering"], "pretty_name": "CLEVR-M... | 2022-10-31T11:28:31+00:00 | [
"2208.05358"
] | [
"en"
] | TAGS
#task_categories-visual-question-answering #task_ids-visual-question-answering #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #source_datasets-clevr #language-English #license-cc-by-4.0 #reasoning #neuro-symbolic #multimodal #arxiv-2208.05358 #region-us
|
# Dataset Card for CLEVR-Math
## 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
- Considerations for Using the Data
- Other Known Limitations
... | [
"# Dataset Card for CLEVR-Math",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n- Considerations for Using the Data\n - Othe... | [
"TAGS\n#task_categories-visual-question-answering #task_ids-visual-question-answering #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #source_datasets-clevr #language-English #license-cc-by-4.0 #reasoning #neuro-symbolic #multimodal #arxiv-2208.05358 #region... | [
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"passage: TAGS\n#task_categories-visual-question-answering #task_ids-visual-question-answering #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #source_datasets-clevr #language-English #license-cc-by-4.0 #reasoning #neuro-symbolic #multimodal #arxiv-2208.0535... |
2c628097f293a86bdba429379dbb91c0952415eb |
# Oxford-IIIT Pet Dataset
Images from [The Oxford-IIIT Pet Dataset](https://www.robots.ox.ac.uk/~vgg/data/pets/). Only images and labels have been pushed, segmentation annotations were ignored.
- **Homepage:** https://www.robots.ox.ac.uk/~vgg/data/pets/
License:
Same as the original dataset.
| pcuenq/oxford-pets | [
"task_categories:image-classification",
"source_datasets:https://www.robots.ox.ac.uk/~vgg/data/pets/",
"license:cc-by-sa-4.0",
"pets",
"oxford",
"region:us"
] | 2022-08-06T14:59:02+00:00 | {"license": "cc-by-sa-4.0", "source_datasets": "https://www.robots.ox.ac.uk/~vgg/data/pets/", "task_categories": ["image-classification"], "pretty_name": "Oxford-IIIT Pet Dataset (no annotations)", "tags": ["pets", "oxford"], "license_details": "https://www.robots.ox.ac.uk/~vgg/data/pets/"} | 2022-08-06T15:01:34+00:00 | [] | [] | TAGS
#task_categories-image-classification #source_datasets-https-//www.robots.ox.ac.uk/~vgg/data/pets/ #license-cc-by-sa-4.0 #pets #oxford #region-us
|
# Oxford-IIIT Pet Dataset
Images from The Oxford-IIIT Pet Dataset. Only images and labels have been pushed, segmentation annotations were ignored.
- Homepage: URL
License:
Same as the original dataset.
| [
"# Oxford-IIIT Pet Dataset\n\nImages from The Oxford-IIIT Pet Dataset. Only images and labels have been pushed, segmentation annotations were ignored.\n\n- Homepage: URL\n\nLicense:\nSame as the original dataset."
] | [
"TAGS\n#task_categories-image-classification #source_datasets-https-//www.robots.ox.ac.uk/~vgg/data/pets/ #license-cc-by-sa-4.0 #pets #oxford #region-us \n",
"# Oxford-IIIT Pet Dataset\n\nImages from The Oxford-IIIT Pet Dataset. Only images and labels have been pushed, segmentation annotations were ignored.\n\n- ... | [
64,
51
] | [
"passage: TAGS\n#task_categories-image-classification #source_datasets-https-//www.robots.ox.ac.uk/~vgg/data/pets/ #license-cc-by-sa-4.0 #pets #oxford #region-us \n# Oxford-IIIT Pet Dataset\n\nImages from The Oxford-IIIT Pet Dataset. Only images and labels have been pushed, segmentation annotations were ignored.\n\... |
d598048f46b2f7796dcf3f29f969dd53114d13af | EN-ME Special Chars is a dataset of roughly 58000 aligned sentence pairs in English and Middle English, collected from the works of Geoffrey Chaucer, John Lydgate, John Wycliffe, and the Gawain Poet.
It includes special characters such as þ.
There is mild standardization, but this dataset reflects the spelling incon... | Qilex/EN-MEspecialChars | [
"task_categories:translation",
"multilinguality:translation",
"size_categories:10K<n<100K",
"language:en",
"language:me",
"license:afl-3.0",
"middle english",
"region:us"
] | 2022-08-06T20:12:52+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en", "me"], "license": ["afl-3.0"], "multilinguality": ["translation"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["translation"], "task_ids": [], "pretty_name": "EN-MEspecialChars", "tags": ["middle english"]} | 2022-08-06T20:38:43+00:00 | [] | [
"en",
"me"
] | TAGS
#task_categories-translation #multilinguality-translation #size_categories-10K<n<100K #language-English #language-me #license-afl-3.0 #middle english #region-us
| EN-ME Special Chars is a dataset of roughly 58000 aligned sentence pairs in English and Middle English, collected from the works of Geoffrey Chaucer, John Lydgate, John Wycliffe, and the Gawain Poet.
It includes special characters such as þ.
There is mild standardization, but this dataset reflects the spelling incon... | [] | [
"TAGS\n#task_categories-translation #multilinguality-translation #size_categories-10K<n<100K #language-English #language-me #license-afl-3.0 #middle english #region-us \n"
] | [
54
] | [
"passage: TAGS\n#task_categories-translation #multilinguality-translation #size_categories-10K<n<100K #language-English #language-me #license-afl-3.0 #middle english #region-us \n"
] |
b839c6ac6fc3fbf9ed2c3926433196b35f72afb9 | Dataset with sentences regarding professions, half of the translations are to feminine and half for masculine sentences.
How to use it:
```
from datasets import load_dataset
remote_dataset = load_dataset("VanessaSchenkel/handmade-dataset", field="data")
remote_dataset
```
Output:
```
DatasetDict({
train: Dataset(... | VanessaSchenkel/handmade-dataset | [
"task_categories:translation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:translation",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"language:pt",
"license:afl-3.0",
"region:us"
] | 2022-08-06T21:02:15+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en", "pt"], "license": ["afl-3.0"], "multilinguality": ["translation"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "VanessaSchenkel/handmade-dataset", "... | 2022-08-06T21:11:34+00:00 | [] | [
"en",
"pt"
] | TAGS
#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-translation #size_categories-n<1K #source_datasets-original #language-English #language-Portuguese #license-afl-3.0 #region-us
| Dataset with sentences regarding professions, half of the translations are to feminine and half for masculine sentences.
How to use it:
Output:
Exemple:
Output:
| [] | [
"TAGS\n#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-translation #size_categories-n<1K #source_datasets-original #language-English #language-Portuguese #license-afl-3.0 #region-us \n"
] | [
76
] | [
"passage: TAGS\n#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-translation #size_categories-n<1K #source_datasets-original #language-English #language-Portuguese #license-afl-3.0 #region-us \n"
] |
7dd7ea5bc04520e2d01b963a15830ebff6e5db4b |
How to use it:
```
from datasets import load_dataset
remote_dataset = load_dataset("VanessaSchenkel/opus_books_en_pt", field="data")
remote_dataset
```
Output:
```
DatasetDict({
train: Dataset({
features: ['id', 'translation'],
num_rows: 1404
})
})
```
Exemple:
```
remote_dataset["train"][5]
... | VanessaSchenkel/opus_books_en_pt | [
"task_categories:translation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:extended|opus_books",
"language:en",
"language:pt",
"license:afl-3.0",
"region:us"
] | 2022-08-06T21:34:58+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en", "pt"], "license": ["afl-3.0"], "multilinguality": ["translation"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|opus_books"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "VanessaSchenkel/opus_... | 2022-08-06T21:46:10+00:00 | [] | [
"en",
"pt"
] | TAGS
#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-translation #size_categories-1K<n<10K #source_datasets-extended|opus_books #language-English #language-Portuguese #license-afl-3.0 #region-us
|
How to use it:
Output:
Exemple:
Output:
| [] | [
"TAGS\n#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-translation #size_categories-1K<n<10K #source_datasets-extended|opus_books #language-English #language-Portuguese #license-afl-3.0 #region-us \n"
] | [
85
] | [
"passage: TAGS\n#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-translation #size_categories-1K<n<10K #source_datasets-extended|opus_books #language-English #language-Portuguese #license-afl-3.0 #region-us \n"
] |
d628ab354f86c439b1eb1db39b3dc6cde6497346 |
# Indonesian News Categorization
## 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-str... | jakartaresearch/indonews | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:id",
"license:cc-by-4.0",
"news",
"news-classifcation",
"indon... | 2022-08-07T03:03:02+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["id"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "pretty_name": "... | 2022-08-07T03:27:54+00:00 | [] | [
"id"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Indonesian #license-cc-by-4.0 #news #news-classifcation #indonesia #region-us
|
# Indonesian News Categorization
## 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
- Pe... | [
"# Indonesian News Categorization",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n ... | [
"TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Indonesian #license-cc-by-4.0 #news #news-classifcation #indonesia #region-us \n",
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c73fd7730502cf3694ce5072b899b6ee6ac2bebf |
# Dataset Card for Poem Tweets
## 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-struc... | jakartaresearch/poem-tweets | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:id",
"license:cc-by-4.0",
"poem",
"tweets",
"twitter",
"indones... | 2022-08-07T06:01:00+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["id"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "poe... | 2022-08-07T07:54:18+00:00 | [] | [
"id"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Indonesian #license-cc-by-4.0 #poem #tweets #twitter #indonesian #region-us
|
# Dataset Card for Poem Tweets
## 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
- Pers... | [
"# Dataset Card for Poem Tweets",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n -... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Indonesian #license-cc-by-4.0 #poem #tweets #twitter #indonesian #region-us \n",
"# Dataset ... | [
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17
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39fada6cd52f101ea2731456009bc6469b4d5a78 |
### Dataset Summary
KoPI-CC (Korpus Perayapan Indonesia)-CC is Indonesian only extract from Common Crawl snapshots using [ungoliant](https://github.com/oscar-corpus/ungoliant), each snapshot also filtered using some some deduplicate technique such as exact hash(md5) dedup technique and minhash LSH neardup
### ... | acul3/KoPI-CC | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"source_datasets:original",
"language:id",
"license:cc",
"arxiv:2201.06642",
"region:us"
] | 2022-08-07T12:04:52+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["id"], "license": "cc", "multilinguality": ["monolingual"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "paperswithcode_id": "oscar"} | 2023-03-03T08:14:38+00:00 | [
"2201.06642"
] | [
"id"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-original #language-Indonesian #license-cc #arxiv-2201.06642 #region-us
|
### Dataset Summary
KoPI-CC (Korpus Perayapan Indonesia)-CC is Indonesian only extract from Common Crawl snapshots using ungoliant, each snapshot also filtered using some some deduplicate technique such as exact hash(md5) dedup technique and minhash LSH neardup
### Preprocessing
Each folder name inside snapsh... | [
"### Dataset Summary\n\nKoPI-CC (Korpus Perayapan Indonesia)-CC is Indonesian only extract from Common Crawl snapshots using ungoliant, each snapshot also filtered using some some deduplicate technique such as exact hash(md5) dedup technique and minhash LSH neardup",
"### Preprocessing\n\nEach folder name inside ... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-original #language-Indonesian #license-cc #arxiv-2201.06642 #region-us \n",
"### Dataset Summary\n\nKoPI-CC (Korpus Perayapan Indonesia)-CC... | [
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"passage: TAGS\n#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-original #language-Indonesian #license-cc #arxiv-2201.06642 #region-us \n### Dataset Summary\n\nKoPI-CC (Korpus Perayapan Indonesia)... |
64c7044457dd130ae6db88a0a5c386a1c1a6249e |
### Dataset description
33.000 transcribed text lines from historical newspapers (before 1878) along with the cropped images of the original scans
Text line based OCR
19.000 text lines in Antiqua
14.000 text lines in Fraktur
Transcribed using double-keying (99.95% accuracy)
Public Domain, CC0 (See copyright notice)
... | biglam/bnl_ground_truth_newspapers_before_1878 | [
"license:cc0-1.0",
"region:us"
] | 2022-08-07T12:13:39+00:00 | {"license": "cc0-1.0"} | 2022-08-07T12:16:10+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
### Dataset description
33.000 transcribed text lines from historical newspapers (before 1878) along with the cropped images of the original scans
Text line based OCR
19.000 text lines in Antiqua
14.000 text lines in Fraktur
Transcribed using double-keying (99.95% accuracy)
Public Domain, CC0 (See copyright notice)
... | [
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2f37090fe26d8da9b59f8403426fa17c69a9f157 | This dataset contains ATC communication.
It can be used to fine tune an **ASR** model, specialised for Air Traffic Control Communications (ATC)
Its data have been taken from the [ATCO2 site](https://www.atco2.org/data) | luigisaetta/atco2 | [
"region:us"
] | 2022-08-07T12:27:14+00:00 | {} | 2022-08-29T06:36:28+00:00 | [] | [] | TAGS
#region-us
| This dataset contains ATC communication.
It can be used to fine tune an ASR model, specialised for Air Traffic Control Communications (ATC)
Its data have been taken from the ATCO2 site | [] | [
"TAGS\n#region-us \n"
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704867178079f256151dc7d561bb241083f3c0de | # AutoTrain Dataset for project: provision_classification
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project provision_classification.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset loo... | Truthful/autotrain-data-provision_classification | [
"task_categories:text-classification",
"region:us"
] | 2022-08-08T04:26:34+00:00 | {"task_categories": ["text-classification"]} | 2022-08-08T04:29:45+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: provision\_classification
========================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project provision\_classification.
### Languages
The BCP-47 code for the dataset's language is ... | [
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"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
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4d0aa96069f24063697e4df63b95be78d3f7fb7d |
About Dataset
DBpedia (from "DB" for "database") is a project aiming to extract structured content from the information created in Wikipedia.
This is an extract of the data (after cleaning, kernel included) that provides taxonomic, hierarchical categories ("classes") for 342,782 wikipedia articles. There are 3 levels... | DeveloperOats/DBPedia_Classes | [
"task_categories:text-classification",
"task_ids:topic-classification",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2022-08-08T08:15:05+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["topic-classification"], "pretty_name": "DBpedia", "tags": []} | 2022-08-08T13:54:42+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-topic-classification #multilinguality-monolingual #size_categories-1M<n<10M #language-English #license-cc0-1.0 #region-us
|
About Dataset
DBpedia (from "DB" for "database") is a project aiming to extract structured content from the information created in Wikipedia.
This is an extract of the data (after cleaning, kernel included) that provides taxonomic, hierarchical categories ("classes") for 342,782 wikipedia articles. There are 3 levels... | [] | [
"TAGS\n#task_categories-text-classification #task_ids-topic-classification #multilinguality-monolingual #size_categories-1M<n<10M #language-English #license-cc0-1.0 #region-us \n"
] | [
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] |
bc91c8c8dbea6a44069e0a955b6ed8dd54fb7fe3 |
About Dataset
Context
This contains data of news headlines published over a period of nineteen years.
Sourced from the reputable Australian news source ABC (Australian Broadcasting Corporation)
Agency Site: (http://www.abc.net.au)
Content
Format: CSV ; Single File
publish_date: Date of publishing for the arti... | DeveloperOats/Million_News_Headlines | [
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2022-08-08T08:24:34+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": [], "task_categories": [], "task_ids": [], "pretty_name": "million news headline", "tags": []} | 2022-08-08T13:56:01+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-1M<n<10M #language-English #license-cc0-1.0 #region-us
|
About Dataset
Context
This contains data of news headlines published over a period of nineteen years.
Sourced from the reputable Australian news source ABC (Australian Broadcasting Corporation)
Agency Site: (URL)
Content
Format: CSV ; Single File
publish_date: Date of publishing for the article in yyyyMMdd fo... | [] | [
"TAGS\n#multilinguality-monolingual #size_categories-1M<n<10M #language-English #license-cc0-1.0 #region-us \n"
] | [
38
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] |
3ab23dde045f9fe601d8b1f3dadb467de3f05663 |
# Dataset Card for Cerpen Corpus
## 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-str... | jakartaresearch/cerpen-corpus | [
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"annotations_creators:no-annotation",
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"size_categories:10K<n<100K",
"source_datasets:original",
"language:id",
"license:cc-by-4.0",
"cerpen",
"shor... | 2022-08-08T13:05:26+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["id"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K", "10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_nam... | 2022-11-28T04:15:40+00:00 | [] | [
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|
# Dataset Card for Cerpen Corpus
## 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
- Pe... | [
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903fe28851d02a976db7a3a4bc12b6cfa2f5443c | Dataset used by the paper:
Wu, Ming-Ju, Jyh-Shing R. Jang, and Jui-Long Chen. “Wafer Map Failure Pattern Recognition and Similarity Ranking for Large-Scale Data Sets.” IEEE Transactions on Semiconductor Manufacturing 28, no. 1 (February 2015): 1–12. | lslattery/wafer-defect-detection | [
"region:us"
] | 2022-08-08T14:33:55+00:00 | {} | 2022-08-14T18:53:45+00:00 | [] | [] | TAGS
#region-us
| Dataset used by the paper:
Wu, Ming-Ju, Jyh-Shing R. Jang, and Jui-Long Chen. “Wafer Map Failure Pattern Recognition and Similarity Ranking for Large-Scale Data Sets.” IEEE Transactions on Semiconductor Manufacturing 28, no. 1 (February 2015): 1–12. | [] | [
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] | [
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aa09900373d90780ee70d27571775aff0e51569c | Customer churn prediction dataset of a fictional telecommunication company made by IBM Sample Datasets.
Context
Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.
Content
Each row represents a customer, each column contains customer’s attri... | scikit-learn/churn-prediction | [
"license:cc-by-4.0",
"region:us"
] | 2022-08-08T16:42:17+00:00 | {"license": "cc-by-4.0"} | 2022-08-08T16:56:29+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| Customer churn prediction dataset of a fictional telecommunication company made by IBM Sample Datasets.
Context
Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.
Content
Each row represents a customer, each column contains customer’s attri... | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
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5cde9ecee39de419b1a7c5838e86248a8a51ceef | annotations_creators:
- no-annotation
language:
- en
language_creators:
- expert-generated
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: acronym-identification
pretty_name: Massive E-commerce Dataset for Retail and Insurance domain.
size_categories:
- n<1K
source_datasets:
- original
tags... | asaxena1990/Dummy_dataset | [
"license:cc-by-sa-4.0",
"region:us"
] | 2022-08-08T18:23:48+00:00 | {"license": "cc-by-sa-4.0"} | 2022-09-05T00:29:27+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
| annotations_creators:
- no-annotation
language:
- en
language_creators:
- expert-generated
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: acronym-identification
pretty_name: Massive E-commerce Dataset for Retail and Insurance domain.
size_categories:
- n<1K
source_datasets:
- original
tags... | [] | [
"TAGS\n#license-cc-by-sa-4.0 #region-us \n"
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17
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ae7ffce08599695beb1a5fe3ba6736ec686abdd6 | 119893266 photos from flickr (https://www.flickr.com/creativecommons/by-nc-sa-2.0/)
---
all photos are under license id = 1 name=Attribution-NonCommercial-ShareAlike License url=https://creativecommons.org/licenses/by-nc-sa/2.0/ | Chr0my/public_flickr_photos_license_1 | [
"license:cc-by-nc-sa-3.0",
"region:us"
] | 2022-08-08T19:27:28+00:00 | {"license": "cc-by-nc-sa-3.0"} | 2022-08-08T19:39:40+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-3.0 #region-us
| 119893266 photos from flickr (URL
---
all photos are under license id = 1 name=Attribution-NonCommercial-ShareAlike License url=URL | [] | [
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] | [
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490b980249446f2f3bd2df3a8cf085d0f2de240a |
# Dataset Description
The `proof-pile` is a 13GB pre-training dataset of mathematical text that comprises 8.3 billion tokens (using the `gpt-neox` tokenizer). Models trained on this dataset are coming soon :) The dataset is composed of diverse sources of both informal and formal mathematics, namely
- ArXiv.math (10GB)... | hoskinson-center/proof-pile | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"language:en",
"license:apache-2.0",
"math",
"mathematics",
"formal-mathematics",
"region:us"
] | 2022-08-08T19:57:56+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "proof-pile", "tags": ["m... | 2023-08-19T02:24:11+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #language-English #license-apache-2.0 #math #mathematics #formal-mathematics #region-us
|
# Dataset Description
The 'proof-pile' is a 13GB pre-training dataset of mathematical text that comprises 8.3 billion tokens (using the 'gpt-neox' tokenizer). Models trained on this dataset are coming soon :) The dataset is composed of diverse sources of both informal and formal mathematics, namely
- URL (10GB)
- Open... | [
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c219bc69317de924709cd566a027284ffc79953f |
**Top Flutter Packages Dataset**
Flutter is an open source framework by Google for building beautiful, natively compiled, multi-platform applications from a single codebase. It is gaining quite a bit of popularity because of ability to code in a single language and have it running on Android/iOS and web as well.
This... | deepklarity/top-flutter-packages | [
"license:cc",
"region:us"
] | 2022-08-09T07:51:49+00:00 | {"license": "cc"} | 2022-08-09T08:05:39+00:00 | [] | [] | TAGS
#license-cc #region-us
|
Top Flutter Packages Dataset
Flutter is an open source framework by Google for building beautiful, natively compiled, multi-platform applications from a single codebase. It is gaining quite a bit of popularity because of ability to code in a single language and have it running on Android/iOS and web as well.
This dat... | [
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eb6de1b8c90f77ec0a8cadc297268308367de753 |
**Top NPM Packages Dataset**
This dataset contains a snapshot of Top 3000 popular node packages hosted on [Node Package Manager](https://www.npmjs.com/)
The dataset was scraped in `July-2022`. This includes a combination of data gathered by [Libraries.io](https://libraries.io/) and [npm](https://www.npmjs.com/)
We ... | deepklarity/top-npm-packages | [
"license:cc",
"region:us"
] | 2022-08-09T08:06:53+00:00 | {"license": "cc"} | 2022-08-09T08:13:13+00:00 | [] | [] | TAGS
#license-cc #region-us
|
Top NPM Packages Dataset
This dataset contains a snapshot of Top 3000 popular node packages hosted on Node Package Manager
The dataset was scraped in 'July-2022'. This includes a combination of data gathered by URL and npm
We aim to use this dataset to perform analysis and identify trends and get a bird's eye view ... | [
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1555264e93350b2cb253e4dd2ca7596b030cc143 |
**Indian Premier League Dataset**
![z](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAOEAAADhCAMAAAAJbSJIAAABtlBMVEUZOYr///8VN4klQY4AIYEALoYAHYAAJYMAH4EALIUaPIwAKoQAI4IAJ4Pg4uwUNokAOYsLMof29/rq7PPd4OsAGn/S1uS0utK/xNjM0eCdpsUAM4wAN4t+irQDMIbp6/IALo7+ygBba6NufKzHzN2qscyPmb25v9X/0ABmdagAEH0AAHikrMmXocIxSpKEj7dGWpqLeWj4r... | deepklarity/indian-premier-league | [
"license:cc",
"region:us"
] | 2022-08-09T08:40:42+00:00 | {"license": "cc"} | 2022-08-09T08:47:29+00:00 | [] | [] | TAGS
#license-cc #region-us
|
Indian Premier League Dataset
!z
This dataset contains info on all of the IPL(Indian Premier League) cricket matches.
Ball-by-Ball level info and scorecard info to be added soon.
The dataset was scraped in 'July-2022'.
#### Mantainers:
- Somya Gautam
- Kondrolla Dinesh Reddy
- Keshaw Soni
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c310f2a990aa87b7119122cbbf6b4664c8c5b5b7 | # 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: Blaise-g/scitldr
* Config: Blaise-g--scitldr
* Split: test
T... | autoevaluate/autoeval-staging-eval-project-Blaise-g__scitldr-89735e41-12705693 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-09T14:34:05+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/scitldr"], "eval_info": {"task": "summarization", "model": "Blaise-g/longt5_tglobal_large_scitldr", "metrics": ["bertscore"], "dataset_name": "Blaise-g/scitldr", "dataset_config": "Blaise-g--scitldr", "dataset_split": "test", "col_mappi... | 2022-08-09T15:51:14+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: Blaise-g/longt5_tglobal_large_scitldr
* Dataset: Blaise-g/scitldr
* Config: Blaise-g--scitldr
* Split: test
To run new evaluation jobs, visit Hug... | [
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506292df69a01a71aa75ff0fcdd162eba2120920 | # 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: Blaise-g/scitldr
* Config: Blaise-g--sci... | autoevaluate/autoeval-staging-eval-project-Blaise-g__scitldr-89735e41-12705694 | [
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] | 2022-08-09T14:34:10+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/scitldr"], "eval_info": {"task": "summarization", "model": "Blaise-g/longt5_tglobal_large_explanatory_baseline_scitldr", "metrics": ["bertscore"], "dataset_name": "Blaise-g/scitldr", "dataset_config": "Blaise-g--scitldr", "dataset_split... | 2022-08-09T15:02:45+00:00 | [] | [] | TAGS
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: Blaise-g/longt5_tglobal_large_explanatory_baseline_scitldr
* Dataset: Blaise-g/scitldr
* Config: Blaise-g--scitldr
* Split: test
To run new evalu... | [
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f48e06e7e27a3e222fe5923a930ccdf2d3fd9eee | # 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: sshleifer/distilbart-xsum-12-6
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation j... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-1bafd1c4-12715695 | [
"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: sshleifer/distilbart-xsum-12-6
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic ... | [
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1cc485463d5c2c6c6e3ef239239eb9857e6bebb2 |
# SynTran-fa
Syntactic Transformed Version of Farsi QA datasets to make fluent responses from questions and short answers. You can use this dataset by the code below:
```python
import datasets
data = datasets.load_dataset('SLPL/syntran-fa', split="train")
```
## Table of Contents
- [Table of Contents](#table-of-con... | SLPL/syntran-fa | [
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|
# SynTran-fa
Syntactic Transformed Version of Farsi QA datasets to make fluent responses from questions and short answers. You can use this dataset by the code below:
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Stru... | [
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8bea8b3d7a39664cd7827474342599b6ab016991 |
# Dataset Card for LUDWIG
## 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)... | UCL-DARK/ludwig | [
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"lang... | 2022-08-10T06:56:34+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling",... | 2022-08-11T14:51:56+00:00 | [] | [
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# Dataset Card for LUDWIG
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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- Dataset Structure
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7f5939deef9875465d3ff70ab0102ef957f4f352 | # Dataset Card for MFRC
## 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)
... | USC-MOLA-Lab/MFRC | [
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"region:us"
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#arxiv-2208.05545 #region-us
| # Dataset Card for MFRC
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and... | [
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2328dd311177458120231b103ac782bae1844c0a | Subset of CORD-19 for rapid prototyping of ideas in vector encodings and Weaviate. | CShorten/CORD-19-prototype | [
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ffcbba9a8234249d2f89c0e828415cbc81d52428 | # 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: datien228/distilbart-cnn-12-6-ftn-multi_news
* Dataset: multi_news
* Config: default
* Split: test
To run new... | autoevaluate/autoeval-staging-eval-project-multi_news-416d7689-12805701 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-10T17:42:10+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["multi_news"], "eval_info": {"task": "summarization", "model": "datien228/distilbart-cnn-12-6-ftn-multi_news", "metrics": [], "dataset_name": "multi_news", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document", ... | 2022-08-10T18:11:52+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: datien228/distilbart-cnn-12-6-ftn-multi_news
* Dataset: multi_news
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face... | [
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bc3f171abbbb710747eae427baa77802fd057887 |
# CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus
*CVSS* is a massively multilingual-to-English speech-to-speech translation corpus, covering sentence-level parallel speech-to-speech translation pairs from 21 languages into English. CVSS is derived from the [Common Voice](https://commonvoice.mozil... | google/cvss | [
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# CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus
*CVSS* is a massively multilingual-to-English speech-to-speech translation corpus, covering sentence-level parallel speech-to-speech translation pairs from 21 languages into English. CVSS is derived from the Common Voice speech corpus and the CoVoS... | [
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