sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
877df5300e73eb86c7a7675f73d82bae6e5accf9 | # Small NORB Azimuth (Test set only)
Original paper: [Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting](https://ieeexplore.ieee.org/document/1315150)
Homepage: https://cs.nyu.edu/~ylclab/data/norb-v1.0-small/
Bibtex:
```
@INPROCEEDINGS{1315150,
author={LeCun, Y. and Fu Jie Huang... | djghosh/wds_vtab-smallnorb_label_azimuth_test | [
"region:us"
] | 2022-12-01T22:07:50+00:00 | {} | 2022-12-12T22:12:30+00:00 | [] | [] | TAGS
#region-us
| # Small NORB Azimuth (Test set only)
Original paper: Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
Homepage: URL
Bibtex:
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] |
775c96dd8d75371e7d21bdf14ec704e20843df45 | # Small NORB Elevation (Test set only)
Original paper: [Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting](https://ieeexplore.ieee.org/document/1315150)
Homepage: https://cs.nyu.edu/~ylclab/data/norb-v1.0-small/
Bibtex:
```
@INPROCEEDINGS{1315150,
author={LeCun, Y. and Fu Jie Hua... | djghosh/wds_vtab-smallnorb_label_elevation_test | [
"region:us"
] | 2022-12-01T22:08:31+00:00 | {} | 2022-12-12T22:12:08+00:00 | [] | [] | TAGS
#region-us
| # Small NORB Elevation (Test set only)
Original paper: Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
Homepage: URL
Bibtex:
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465849035bea10d0c58b0b8b0ae9a905b778d5ff | # AutoTrain Dataset for project: testjumeee
## Dataset Description
This dataset has been automatically processed by AutoTrain for project testjumeee.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{... | Jumus/autotrain-data-testjumeee | [
"language:en",
"region:us"
] | 2022-12-01T22:53:44+00:00 | {"language": ["en"]} | 2022-12-01T22:56:07+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| AutoTrain Dataset for project: testjumeee
=========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project testjumeee.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
-----------------
#... | [
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dfb480d142d00182cfefae60d6d9e492068c6348 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | DTU54DL/commonvoice10k | [
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"language:en",
"license:mit",
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] | 2022-12-02T00:57:27+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["token-classification-other-acronym-ide... | 2022-12-02T00:58:26+00:00 | [] | [
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#task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us
|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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"# Dataset Card for [Dataset Name]",
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ab22563431db30dda7acdc7c9c7045ef6062fee3 | # SVHN (Test set only)
Original paper: [Reading Digits in Natural Images with Unsupervised Feature Learning](http://ufldl.stanford.edu/housenumbers/nips2011_housenumbers.pdf)
Homepage: http://ufldl.stanford.edu/housenumbers/
Bibtex:
```
@inproceedings{Netzer2011ReadingDI,
title={Reading Digits in Natural Images wi... | djghosh/wds_vtab-svhn_test | [
"region:us"
] | 2022-12-02T01:04:11+00:00 | {} | 2022-12-12T22:22:10+00:00 | [] | [] | TAGS
#region-us
| # SVHN (Test set only)
Original paper: Reading Digits in Natural Images with Unsupervised Feature Learning
Homepage: URL
Bibtex:
| [
"# SVHN (Test set only)\n\nOriginal paper: Reading Digits in Natural Images with Unsupervised Feature Learning\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# SVHN (Test set only)\n\nOriginal paper: Reading Digits in Natural Images with Unsupervised Feature Learning\n\nHomepage: URL\n\nBibtex:"
] |
393ad3eedeb13606ed339a4d10cc33f3153e0068 | # Dataset Card for "es_docvqa_donut"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Viccorza/es_docvqa_donut | [
"region:us"
] | 2022-12-02T01:56:02+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "query", "struct": [{"name": "de", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "es", "dtype": "string"}, {"name": "fr", "dtype": "string"}, {"name": "it", "dtype": "string"}]}, {"name": "a... | 2022-12-02T01:56:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "es_docvqa_donut"
More Information needed | [
"# Dataset Card for \"es_docvqa_donut\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"es_docvqa_donut\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"es_docvqa_donut\"\n\nMore Information needed"
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b1079a8940e6fa79c020f6365f872758b085306e | # Dataset Card for "lat_en_loeb_whitaker"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | grosenthal/lat_en_loeb_whitaker | [
"region:us"
] | 2022-12-02T01:56:48+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "la", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "file", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34184558.73094817, "num_examples": 89176}, {"name": "test", "num_bytes": 1899056.965474088, "num_examples... | 2023-01-25T17:47:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lat_en_loeb_whitaker"
More Information needed | [
"# Dataset Card for \"lat_en_loeb_whitaker\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"lat_en_loeb_whitaker\"\n\nMore Information needed"
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] |
75131116f9b64994c6e1ff565991b42895ab2850 | # Dataset Card for "viewiki_segment_sent"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hieule/viewiki_segment_sent | [
"region:us"
] | 2022-12-02T04:42:56+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1280366026, "num_examples": 8231949}], "download_size": 251969091, "dataset_size": 1280366026}} | 2022-12-02T04:50:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "viewiki_segment_sent"
More Information needed | [
"# Dataset Card for \"viewiki_segment_sent\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"viewiki_segment_sent\"\n\nMore Information needed"
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8310e3e15437045f6c8fd786922463802688862a | # Dataset Card for "wikivie"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hieule/wikivie | [
"region:us"
] | 2022-12-02T05:00:49+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1292985940, "num_examples": 1273469}], "download_size": 603762953, "dataset_size": 1292985940}} | 2022-12-02T05:03:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikivie"
More Information needed | [
"# Dataset Card for \"wikivie\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"wikivie\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"wikivie\"\n\nMore Information needed"
] |
30ffd8658765862a7a2d3e71643e732762a1ead1 | # Dataset Card for "text_summarization_dataset7"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shahidul034/text_summarization_dataset7 | [
"region:us"
] | 2022-12-02T05:01:28+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 128244993, "num_examples": 108802}], "download_size": 44502964, "dataset_size": 128244993}} | 2022-12-02T05:01:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "text_summarization_dataset7"
More Information needed | [
"# Dataset Card for \"text_summarization_dataset7\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"text_summarization_dataset7\"\n\nMore Information needed"
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650b27b6a0dde78749495f023af652310ab9fd9a | # Dataset Card for "text_summarization_dataset8"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shahidul034/text_summarization_dataset8 | [
"region:us"
] | 2022-12-02T05:02:09+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 126184009, "num_examples": 101745}], "download_size": 44181954, "dataset_size": 126184009}} | 2022-12-02T05:02:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "text_summarization_dataset8"
More Information needed | [
"# Dataset Card for \"text_summarization_dataset8\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"text_summarization_dataset8\"\n\nMore Information needed"
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1c9ca31e0e4634b56561d81226d298ac600042b2 | # Dataset Card for "text_summarization_dataset9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shahidul034/text_summarization_dataset9 | [
"region:us"
] | 2022-12-02T05:02:47+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 130228352, "num_examples": 104575}], "download_size": 45376452, "dataset_size": 130228352}} | 2022-12-02T05:02:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "text_summarization_dataset9"
More Information needed | [
"# Dataset Card for \"text_summarization_dataset9\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"text_summarization_dataset9\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"text_summarization_dataset9\"\n\nMore Information needed"
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8e0044eab75d6598568b466c01738db796b83897 | # AutoTrain Dataset for project: summarizer
## Dataset Description
This dataset has been automatically processed by AutoTrain for project summarizer.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
... | abdalrahmanshahrour/data-summarizer | [
"region:us"
] | 2022-12-02T07:33:52+00:00 | {"task_categories": ["conditional-text-generation"]} | 2022-12-02T07:36:02+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: summarizer
=========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project summarizer.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
... | [
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b59167e3d7a08086624ba70b082f28a5e15f8f1d | # Dataset Card for "flintstones_story"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dhruvrnaik/flintstones_story | [
"region:us"
] | 2022-12-02T08:49:18+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4816061959.792, "num_examples": 20656}, {"name": "test", "num_bytes": 588052405.413, "num_examples": 2377}, {"name": "validation", "num_bytes": 529750545.045, "num_examples... | 2022-12-02T08:52:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "flintstones_story"
More Information needed | [
"# Dataset Card for \"flintstones_story\"\n\nMore Information needed"
] | [
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73bae4d21d86036cc0f567e612633ca6d84c018c | # 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: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-0cfbe1dd-f38d-4b9d-9a4a-48037e1ca217-114110 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-02T09:36:29+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "... | 2022-12-02T09:37:11+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: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
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bf40b93a7991981bb711547bf9b73e8805df3a8f | # 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: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-967d2d60-ff7d-4923-acf4-ea7cf37843b4-115111 | [
"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: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
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ef33677bb4ac8cb6db274e4c61c114d13689ab83 | # 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: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-e40e4fc9-c0ca-4ccb-8d8b-09dce405aafc-116112 | [
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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: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
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: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, vis... | [
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f0d0fcf0ab24f2635e16cad44403a3b8c1e3904b |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | TUKE-DeutscheTelekom/skquad | [
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"task_categories:text-retrieval",
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"annotations_creators:crowdsourced",
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"language_creators:found",
"multilinguality:monolingual",
"size_categor... | 2022-12-02T11:28:37+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced", "found"], "language": ["sk"], "license": ["cc-by-sa-4.0", "cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering", "text-retrieval"], "t... | 2022-12-05T14:10:32+00:00 | [] | [
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===============================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationa... | [
"### Dataset Summary\n\n\nSK-QuAD is the first QA dataset for the Slovak language.\nIt is manually annotated, so it has no distortion caused by\nmachine translation. The dataset is thematically diverse – it\ndoes not overlap with SQuAD – it brings new knowledge.\nIt passed the second round of annotation – each ques... | [
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b773d8156a84fa69dfa1cd79678d5fbd61249601 | # Dataset Card for "github-discussion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rami/github-discussion | [
"region:us"
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#region-us
| # Dataset Card for "github-discussion"
More Information needed | [
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869562ad2596641a72e7bdfe10861a055aae0f19 | # 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: autoevaluate/binary-classification-not-evaluated
* Dataset: glue
* Config: sst2
* Split: validati... | autoevaluate/autoeval-staging-eval-project-efa0c910-63e6-4e94-9ead-ecdfc9f84f6e-117113 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification-not-evaluated
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visi... | [
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52c6fb5d2f42f46d0c6a7f3659e0c6fcc16b4516 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: autoevaluate/multi-class-classification-not-evaluated
* Dataset: emotion
* Config: default
*... | autoevaluate/autoeval-staging-eval-project-e4791b21-302d-4702-9dba-a4a3a73498cd-118114 | [
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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: Multi-class Text Classification
* Model: autoevaluate/multi-class-classification-not-evaluated
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation ... | [
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7ed1bc361cf802f0b30f1fcabe6de517334c4e49 | # Dataset Card for "IC-Satellites"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | excitedlord/IC-Satellites | [
"region:us"
] | 2022-12-02T15:39:38+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 9018028.25, "num_examples": 1275}, {"name": "test", "num_bytes": 1584428.55, "num_examples": 225}], "download_size": 10777803, "dataset_size": 10602456.8}} | 2022-12-02T15:39:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "IC-Satellites"
More Information needed | [
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e52697ce08d3d44daa33e0d252c872b51b394625 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Image Classification
* Model: autoevaluate/image-multi-class-classification-not-evaluated
* Dataset: autoevaluate/mnist-s... | autoevaluate/autoeval-staging-eval-project-8549c8be-1ee3-4cf8-990c-ffe8e4ea051d-119115 | [
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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: Multi-class Image Classification
* Model: autoevaluate/image-multi-class-classification-not-evaluated
* Dataset: autoevaluate/mnist-sample
* Config: autoevaluate--mnist-... | [
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55dba4bb81abbd9630613670c5d99d8f1e6f4441 |
# NLU Few-shot Benchmark - English and German
This is a few-shot training dataset from the domain of human-robot interaction.
It contains texts in German and English language with 64 different utterances (classes).
Each utterance (class) has exactly 20 samples in the training set.
This leads to a total of 1280 differe... | deutsche-telekom/NLU-few-shot-benchmark-en-de | [
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"language:en",
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"license:cc-by-4.0",
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] | 2022-12-02T16:26:59+00:00 | {"language": ["en", "de"], "license": "cc-by-4.0", "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|deutsche-telekom/NLU-Evaluation-Data-en-de"], "task_categories": ["text-classification"], "task_ids": ["intent-classification"]} | 2023-12-17T17:41:42+00:00 | [] | [
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|
# NLU Few-shot Benchmark - English and German
This is a few-shot training dataset from the domain of human-robot interaction.
It contains texts in German and English language with 64 different utterances (classes).
Each utterance (class) has exactly 20 samples in the training set.
This leads to a total of 1280 differe... | [
"# NLU Few-shot Benchmark - English and German\nThis is a few-shot training dataset from the domain of human-robot interaction.\nIt contains texts in German and English language with 64 different utterances (classes).\nEach utterance (class) has exactly 20 samples in the training set.\nThis leads to a total of 1280... | [
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3ee38aaa4cd37669a566b84b6a0e18e02cc66e51 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification-not-evaluated
* Dataset: autoevaluate/zero-shot-classifi... | autoevaluate/autoeval-staging-eval-project-c80bd5f3-aba9-44d4-aefd-7fef2e67a535-120116 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: autoevaluate/zero-shot-classification-not-evaluated
* Dataset: autoevaluate/zero-shot-classification-sample
* Config: autoevaluate... | [
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1d62c325c2898cd1342b4e33fe640785b3c82f38 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: autoevaluate/natural-language-inference-not-evaluated
* Dataset: glue
* Config: mrpc
* Split: val... | autoevaluate/autoeval-staging-eval-project-79eac003-d1e7-4d2c-ae8f-d5e71acc5a82-121117 | [
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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: Natural Language Inference
* Model: autoevaluate/natural-language-inference-not-evaluated
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evaluation jobs,... | [
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960701042f7316f3d5eff9069bda0c632f5b9291 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: autoevaluate/entity-extraction-not-evaluated
* Dataset: autoevaluate/conll2003-sample
* Config: autoeva... | autoevaluate/autoeval-staging-eval-project-cfd9b2d6-f835-45b3-a940-6a4a4aec71b0-122118 | [
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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: Token Classification
* Model: autoevaluate/entity-extraction-not-evaluated
* Dataset: autoevaluate/conll2003-sample
* Config: autoevaluate--conll2003-sample
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507aec963fb4cec1d17f314fe14c137f7ea357eb | # 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: autoevaluate/distilbert-base-cased-distilled-squad
* Dataset: autoevaluate/squad-sample
* Config: autoeva... | autoevaluate/autoeval-staging-eval-project-c3da4aa4-0386-41d1-9c7c-12d712dd287c-126120 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: autoevaluate/distilbert-base-cased-distilled-squad
* Dataset: autoevaluate/squad-sample
* Config: autoevaluate--squad-sample
* Split: test
T... | [
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1959f1c839c6003a0fe5b31e76565d2d2bc8be0c | # 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: autoevaluate/extractive-question-answering-not-evaluated
* Dataset: autoevaluate/squad-sample
* Config: a... | autoevaluate/autoeval-staging-eval-project-c3da4aa4-0386-41d1-9c7c-12d712dd287c-126119 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: autoevaluate/extractive-question-answering-not-evaluated
* Dataset: autoevaluate/squad-sample
* Config: autoevaluate--squad-sample
* Split: t... | [
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a6ce1ecc6756118e7ce49f67d740a5cc363b5488 | # 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: autoevaluate/translation-not-evaluated
* Dataset: autoevaluate/wmt16-ro-en-sample
* Config: autoevaluate--wmt16-... | autoevaluate/autoeval-staging-eval-project-d0f125bb-b6fe-4a56-8bed-0f8d3744fc42-127121 | [
"autotrain",
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] | 2022-12-02T16:50:07+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["autoevaluate/wmt16-ro-en-sample"], "eval_info": {"task": "translation", "model": "autoevaluate/translation-not-evaluated", "metrics": [], "dataset_name": "autoevaluate/wmt16-ro-en-sample", "dataset_config": "autoevaluate--wmt16-ro-en-sample", "d... | 2022-12-02T16:50:55+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: Translation
* Model: autoevaluate/translation-not-evaluated
* Dataset: autoevaluate/wmt16-ro-en-sample
* Config: autoevaluate--wmt16-ro-en-sample
* Split: test
To run n... | [
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ba71fd455999029eee07ccc606b6eeeed1319dd0 | test | Ni24601/test_Kim | [
"region:us"
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cbf86032c77298cddde7e677254db1283e8b95ed |
Data was obtained from [TMDB API](https://developers.themoviedb.org/3) | ashraq/tmdb-people-image | [
"region:us"
] | 2022-12-02T17:34:52+00:00 | {"dataset_info": {"features": [{"name": "adult", "dtype": "bool"}, {"name": "also_known_as", "dtype": "string"}, {"name": "biography", "dtype": "string"}, {"name": "birthday", "dtype": "string"}, {"name": "deathday", "dtype": "string"}, {"name": "gender", "dtype": "int64"}, {"name": "homepage", "dtype": "string"}, {"na... | 2023-04-21T19:02:31+00:00 | [] | [] | TAGS
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39e6ad0820ad1a3615506910030dc73cf006f036 | # Dataset Card for "imdb-movie-genres"
MDb (an acronym for Internet Movie Database) is an online database of information related to films, television programs, home videos, video games, and streaming content online – including cast, production crew and personal biographies, plot summaries, trivia, ratings, and fan and... | adrienheymans/imdb-movie-genres | [
"region:us"
] | 2022-12-02T17:44:56+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "genre", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 35392128, "num_examples": 54214}, {"name": "test", "num_bytes": 35393614, "num_examples": 54200}... | 2022-12-02T17:49:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "imdb-movie-genres"
MDb (an acronym for Internet Movie Database) is an online database of information related to films, television programs, home videos, video games, and streaming content online – including cast, production crew and personal biographies, plot summaries, trivia, ratings, and fan and... | [
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942d06f7e0aa48addeeea991fa62d8590507f6d7 | # 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: Artifact-AI/t5_base_courtlistener_billsum
* Dataset: billsum
* Config: default
* Split: test
To run new evalu... | autoevaluate/autoeval-eval-billsum-default-258166-2318473352 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-02T18:25:59+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["billsum"], "eval_info": {"task": "summarization", "model": "Artifact-AI/t5_base_courtlistener_billsum", "metrics": [], "dataset_name": "billsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": "su... | 2022-12-02T18:29:48+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: Artifact-AI/t5_base_courtlistener_billsum
* Dataset: billsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's aut... | [
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6d67f9ad7ecd5d0d2d44a273ff933819cfd6b17c |
# Dataset Card for "lmqg/qg_tweetqa"
## Dataset Description
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
- **Paper:** [https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992)
- **Point of Contact:** [Asahi Ushio](http://asahius... | lmqg/qg_tweetqa | [
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| Dataset Card for "lmqg/qg\_tweetqa"
===================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is the question & answer generation dataset based on the tweet\_qa. The test set of the original data is not pub... | [
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48e546938ba5143a4af5c62ac868fa4d357b557b |
# WIFI RSSI Indoor Positioning Dataset
A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.
We use an autonomous ... | Brosnan/WIFI_RSSI_Indoor_Positioning_Dataset | [
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"task_ids:tabular-single-column-regression",
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"indoor-positioning",
"indoor-localisation",
"wifi-rssi",
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"region:us... | 2022-12-02T20:14:17+00:00 | {"language_creators": ["expert-generated"], "license": "cc-by-nc-sa-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["tabular-classification"], "task_ids": ["tabular-single-column-regression"], "pretty_name": "WiFi RSSI Indoor Localization", "tags": ["wifi", "indoor-positioning", "indoor-localisation", "wifi... | 2022-12-02T20:42:32+00:00 | [] | [] | TAGS
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|
# WIFI RSSI Indoor Positioning Dataset
A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.
We use an autonomous ... | [
"# WIFI RSSI Indoor Positioning Dataset\n\nA reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.\n\nWe use an auto... | [
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0e6d7cda2bb2d1d5203f630bf67e7c04d085cd96 | # Dataset Card for "2000dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | omarelsayeed/2000dataset | [
"region:us"
] | 2022-12-02T21:19:25+00:00 | {"dataset_info": {"features": [{"name": "input_values", "struct": [{"name": "attention_mask", "sequence": {"sequence": "int32"}}, {"name": "input_values", "sequence": {"sequence": "float32"}}]}, {"name": "input_length", "dtype": "int64"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes... | 2022-12-02T21:20:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "2000dataset"
More Information needed | [
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65570bc1d5e12e29647fd99b34169179772486c0 | # Dataset Card for The Harvard USPTO Patent Dataset (HUPD)
## Dataset Description
- **Homepage:** [https://patentdataset.org/](https://patentdataset.org/)
- **Repository:** [HUPD GitHub repository](https://github.com/suzgunmirac/hupd)... | egm517/hupd_augmented | [
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"language:en"... | 2022-12-03T02:16:04+00:00 | {"language": ["en"], "license": ["cc-by-sa-4.0"], "task_categories": ["fill-mask", "summarization", "text-classification", "token-classification"], "task_ids": ["masked-language-modeling", "multi-class-classification", "topic-classification", "named-entity-recognition"], "pretty_name": "HUPD", "tags": ["patents"]} | 2022-12-10T19:02:49+00:00 | [
"2207.04043"
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!HUPD-Diagram
## Dataset Description
- Homepage: URL
- Repository: HUPD GitHub repository
- Paper: HUPD arXiv Submission
- Point of Contact: Mirac Suzgun
### Dataset Summary
The Harvard USPTO Dataset (HUPD) is a large-scale, well-structured, and multi-purpose c... | [
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fba364d22354b9e1b4b912235c1e3503df86bf5c | A dataset of AI-generated images, selected by the community, for fine tuning Stable Diffusion 1.5 and/or Stable Diffusion 2.0 on particular desired artstyles,
WITHOUT using any images owned by major media companies, nor images by artists who are uncomfortable with their works being used to train AI.
What to submit: Y... | DerrangedGadgeteer/SD-GAI | [
"region:us"
] | 2022-12-03T09:09:21+00:00 | {} | 2022-12-03T11:29:47+00:00 | [] | [] | TAGS
#region-us
| A dataset of AI-generated images, selected by the community, for fine tuning Stable Diffusion 1.5 and/or Stable Diffusion 2.0 on particular desired artstyles,
WITHOUT using any images owned by major media companies, nor images by artists who are uncomfortable with their works being used to train AI.
What to submit: Y... | [] | [
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de7daaad2535b935698a3df9a0d3fff8358a9970 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | DTU54DL/common-accent-augmented-proc | [
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"license:mit",
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] | 2022-12-03T12:05:58+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["token-classification-other-acronym-ide... | 2022-12-03T12:56:02+00:00 | [] | [
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# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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1c435ba41167bd40e8c2acae21ccdd9e3c168de0 | # Dataset Card for "common_voice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liangc40/common_voice | [
"region:us"
] | 2022-12-03T12:15:27+00:00 | {"dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 11871603408, "num_examples": 12360}, {"name": "test", "num_bytes": 4868697560, "num_examples": 5069}], "download_size": 2458690800, "dataset... | 2022-12-06T14:16:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "common_voice"
More Information needed | [
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84931371c374c20ac7c1f7595f3164990d968e84 | # Dataset Card for "Dvoice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/Dvoice | [
"region:us"
] | 2022-12-03T15:34:53+00:00 | {"dataset_info": {"features": [{"name": "path", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 52843034.0, "num_examples": 457}, {"name": "train", "num_bytes": 153498349.056, "num_examples": 1368}, {"nam... | 2022-12-03T15:39:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Dvoice"
More Information needed | [
"# Dataset Card for \"Dvoice\"\n\nMore Information needed"
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1b54fd7865d13e811ae87b56c0e54d55c6128a16 |
These embeddings result from applying SemAxis (https://arxiv.org/abs/1806.05521) to common sense knowledge graph embeddings (https://arxiv.org/abs/2012.11490).
| KnutJaegersberg/Interpretable_word_embeddings_large_cskg | [
"license:mit",
"arxiv:1806.05521",
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"region:us"
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#license-mit #arxiv-1806.05521 #arxiv-2012.11490 #region-us
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These embeddings result from applying SemAxis (URL to common sense knowledge graph embeddings (URL
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639d674fe76d48c588264a12e1ee6e6d6569ec21 | # Dataset Card for "sudanese_dialect_speech"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/sudanese_dialect_speech | [
"region:us"
] | 2022-12-03T17:44:20+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 1207318008.52, "num_examples": 3547}], "download_size": 1624404468, "dataset_size": 1207318008.52}} | 2022-12-04T16:44:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sudanese_dialect_speech"
More Information needed | [
"# Dataset Card for \"sudanese_dialect_speech\"\n\nMore Information needed"
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8b7b0ffe0d3c3c86eb28fc9381f17f36301b0068 | # Dataset Card for "lat_en_loeb_whitaker_split"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | grosenthal/lat_en_loeb_whitaker_split | [
"region:us"
] | 2022-12-03T19:29:27+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "la", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "file", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 30517119.261391733, "num_examples": 77774}], "download_size": 18966593, "dataset_size": 30517119.26139173... | 2023-01-25T17:47:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lat_en_loeb_whitaker_split"
More Information needed | [
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47d2ca79b915fe3e31acae2b7937da8ebe69c0ab | # Dataset Card for "Food-Prototype-Bruce"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | izou3/Food-Prototype-Bruce | [
"region:us"
] | 2022-12-03T20:14:30+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 74206828.0, "num_examples": 400}], "download_size": 73784241, "dataset_size": 74206828.0}} | 2022-12-03T20:20:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Food-Prototype-Bruce"
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6001dd3a96d44c22e2a6c5c8f937ba0f840c4d50 |
# V-D4RL
V-D4RL provides pixel-based analogues of the popular D4RL benchmarking tasks, derived from the **`dm_control`** suite, along with natural extensions of two state-of-the-art online pixel-based continuous control algorithms, DrQ-v2 and DreamerV2, to the offline setting. For further details, please see the pape... | conglu/vd4rl | [
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# V-D4RL
V-D4RL provides pixel-based analogues of the popular D4RL benchmarking tasks, derived from the 'dm_control' suite, along with natural extensions of two state-of-the-art online pixel-based continuous control algorithms, DrQ-v2 and DreamerV2, to the offline setting. For further details, please see the paper:
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5327d6f12267f6e189573e0dcfb5d41d2f35d149 |
# stacked-xsum-1024
a "stacked" version of `xsum`
1. Original Dataset: copy of the base dataset
2. Stacked Rows: The original dataset is processed by stacking rows based on certain criteria:
- Maximum Input Length: The maximum length for input sequences is 1024 tokens in the longt5 model tokenizer.
- Maximu... | stacked-summaries/stacked-xsum-1024 | [
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] | 2022-12-04T00:47:30+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "source_datasets": ["xsum"], "task_categories": ["summarization"], "pretty_name": "Stacked XSUM: 1024 tokens max", "tags": ["stacked summaries", "xsum"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data... | 2023-10-08T22:34:15+00:00 | [] | [
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|
# stacked-xsum-1024
a "stacked" version of 'xsum'
1. Original Dataset: copy of the base dataset
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- Maximum Input Length: The maximum length for input sequences is 1024 tokens in the longt5 model tokenizer.
- Maximu... | [
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8957daa3f265f824532bcd8187b20674e539b8ed |
# TU-Berlin Sketch Dataset
This is the full PNG dataset from [TU-Berlin](https://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/).
| kmewhort/tu-berlin-png | [
"license:cc-by-4.0",
"region:us"
] | 2022-12-04T02:32:17+00:00 | {"license": "cc-by-4.0", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "airplane", "1": "alarm clock", "2": "angel", "3": "ant", "4": "apple", "5": "arm", "6": "armchair", "7": "ashtray", "8": "axe", "9": "backpack", "10": "banana", "11": "... | 2022-12-19T15:01:51+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
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# TU-Berlin Sketch Dataset
This is the full PNG dataset from TU-Berlin.
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9beb0992d7452fc019f57e84a39b952bfde3a964 | # AutoTrain Dataset for project: whatsapp_chat_summarization
## Dataset Description
This dataset has been automatically processed by AutoTrain for project whatsapp_chat_summarization.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this datase... | dippatel11/autotrain-data-whatsapp_chat_summarization | [
"language:en",
"region:us"
] | 2022-12-04T04:33:48+00:00 | {"language": ["en"], "task_categories": ["conditional-text-generation"]} | 2022-12-04T04:44:33+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| AutoTrain Dataset for project: whatsapp\_chat\_summarization
============================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project whatsapp\_chat\_summarization.
### Languages
The BCP-47 code for the dataset's ... | [
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b41c9d5911d05c40762299bca2ab795f5d466a6e | # Dataset Card for "wmt16_sentence_lang"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sandipan1994/wmt16_sentence_lang | [
"region:us"
] | 2022-12-04T06:08:54+00:00 | {"dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "lang", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1427686436.0, "num_examples": 9097770}, {"name": "test", "num_bytes": 771496.0, "num_examples": 5998}, {"name": "validation", "num_bytes": 549009.0, "num_examples": 4338}... | 2022-12-04T06:13:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wmt16_sentence_lang"
More Information needed | [
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8774d7080d9ae9b4d8bc64185cf48fa732f5d9d5 | # AutoTrain Dataset for project: dippatel_summarizer
## Dataset Description
This dataset has been automatically processed by AutoTrain for project dippatel_summarizer.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as foll... | dippatel11/autotrain-data-dippatel_summarizer | [
"region:us"
] | 2022-12-04T06:20:12+00:00 | {"task_categories": ["conditional-text-generation"]} | 2022-12-04T06:37:40+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: dippatel\_summarizer
===================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project dippatel\_summarizer.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset ... | [
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832c5749f4710e89928b7b40af464d4218948d38 |
# Dataset Card for Yandex.Q
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Data... | its5Q/yandex-q | [
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"language... | 2022-12-04T06:56:33+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ru"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-generation", "question-answering"], "task_ids": ["language-modeli... | 2023-04-02T15:48:29+00:00 | [] | [
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# Dataset Card for Yandex.Q
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Fields
- Data Splits
- Dataset Creation
- Additional Information
- Dataset Curators
- Citation Information
## Dataset Description
- Repository: URL
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25f4994d14d10e8e21d49f0a828fc4b84f3259c9 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: google/pegasus-xsum
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging... | autoevaluate/autoeval-eval-xsum-default-604b3d-2333173628 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-04T08:37:02+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "google/pegasus-xsum", "metrics": ["rouge", "bleu", "meteor", "bertscore"], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document",... | 2022-12-04T09:10:58+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: google/pegasus-xsum
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: google/pegasus-xsum\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic mod... | [
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70b44b26f0dbdc9885f35f1c264eea284ab51dcf | # BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
## Overview
The Bayelemabaga dataset is a collection of 46976 aligned machine translation ready Bambara-French lines, originating from [Corpus Bambara de Reference](http://cormande.huma-num.fr/corbama/run.cgi/first_form). The dataset is constitued ... | RobotsMaliAI/bayelemabaga | [
"task_categories:translation",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:bm",
"language:fr",
"region:us"
] | 2022-12-04T08:47:14+00:00 | {"language": ["bm", "fr"], "size_categories": ["10K<n<100K"], "task_categories": ["translation", "text-generation"]} | 2023-04-24T15:56:24+00:00 | [] | [
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#task_categories-translation #task_categories-text-generation #size_categories-10K<n<100K #language-Bambara #language-French #region-us
| BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
====================================================================
Overview
--------
The Bayelemabaga dataset is a collection of 46976 aligned machine translation ready Bambara-French lines, originating from Corpus Bambara de Reference. The data... | [
"### Maintenance\n\n\n* This dataset is supposed to be actively maintained.",
"### Benchmarks:\n\n\n* 'Coming soon'",
"### Sources\n\n\n* 'sources'",
"### To note:\n\n\n* ʃ => (sh/shy) sound: Symbol left in the dataset, although not a part of bambara orthography nor French orthography.\n\n\nLicense\n-------\n... | [
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a71dd7fe273ea030307ce04af0dfae3c2cde1ecd | # Dataset Card for "Lab2scalable"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Victorlopo21/Lab2scalable | [
"region:us"
] | 2022-12-04T09:49:55+00:00 | {"dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 5726523552, "num_examples": 5962}, {"name": "test", "num_bytes": 2546311152, "num_examples": 2651}], "download_size": 1397383253, "dataset_s... | 2022-12-04T09:52:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Lab2scalable"
More Information needed | [
"# Dataset Card for \"Lab2scalable\"\n\nMore Information needed"
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d96443a5c95f4bbdbafd86f691936121b444f76e | # Dataset Card for "librispeech5k-augmentated-train-prepared"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | DTU54DL/librispeech5k-augmentated-train-prepared | [
"region:us"
] | 2022-12-04T10:12:34+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "chapter_id", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "input_features", "seq... | 2022-12-04T12:59:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "librispeech5k-augmentated-train-prepared"
More Information needed | [
"# Dataset Card for \"librispeech5k-augmentated-train-prepared\"\n\nMore Information needed"
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96eb342c58e9d4ba2286a20f8406126a6dac63a2 | # Dataset Card for "id2223_whisper_swedish"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jsra2/id2223_whisper_swedish | [
"region:us"
] | 2022-12-04T11:53:27+00:00 | {"dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 11871603408, "num_examples": 12360}, {"name": "test", "num_bytes": 4868697560, "num_examples": 5069}], "download_size": 2458684890, "dataset... | 2022-12-04T11:58:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "id2223_whisper_swedish"
More Information needed | [
"# Dataset Card for \"id2223_whisper_swedish\"\n\nMore Information needed"
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b186aa62836c86d22be8fba79a15e546e2b79d7d |
# stacked samsum 1024
Created with the `stacked-booksum` repo version v0.25. It contains:
1. Original Dataset: copy of the base dataset
2. Stacked Rows: The original dataset is processed by stacking rows based on certain criteria:
- Maximum Input Length: The maximum length for input sequences is 1024 tokens in t... | stacked-summaries/stacked-samsum-1024 | [
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"size_categories:10K<n<100K",
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"language:en",
"license:apache-2.0",
"stacked summaries",
"region:us"
] | 2022-12-04T12:22:28+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "source_datasets": ["samsum"], "task_categories": ["summarization"], "pretty_name": "Stacked Samsum - 1024", "tags": ["stacked summaries"]} | 2023-05-28T23:30:18+00:00 | [] | [
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#task_categories-summarization #size_categories-10K<n<100K #source_datasets-samsum #language-English #license-apache-2.0 #stacked summaries #region-us
|
# stacked samsum 1024
Created with the 'stacked-booksum' repo version v0.25. It contains:
1. Original Dataset: copy of the base dataset
2. Stacked Rows: The original dataset is processed by stacking rows based on certain criteria:
- Maximum Input Length: The maximum length for input sequences is 1024 tokens in t... | [
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6dce44cbfe5ea7c50ac1ba7fc10ee7fa6132626a |
# Dataset Card for Kathbath
## 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-structur... | ai4bharat/kathbath | [
"task_categories:automatic-speech-recognition",
"annotations_creators:expert-generated",
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|
# Dataset Card for Kathbath
## 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
- Persona... | [
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96591e8627e47aa1ede6922d30d393639f14ca5a | # Dataset Card for "Kimetsu-no-Yaiba-Image-Dataset-01"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Kurokabe/Kimetsu-no-Yaiba-Image-Dataset-01 | [
"region:us"
] | 2022-12-04T13:36:04+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 2005251870.0, "num_examples": 6000}, {"name": "validation", "num_bytes": 207003826.0, "num_examples": 809}], "download_size": 2135573514, "dataset_size": 2212255696.0}} | 2022-12-04T13:37:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Kimetsu-no-Yaiba-Image-Dataset-01"
More Information needed | [
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f934536471ab0b3968c0d56de4e7c19b8d9f0945 | # Dataset Card for "lcbsi-wbc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | polejowska/lcbsi-wbc | [
"region:us"
] | 2022-12-04T14:33:39+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "basophil", "1": "eosinophil", "2": "lymphocyte", "3": "monocyte", "4": "neutrophil"}}}}, {"name": "pixel_values", "sequence": {"sequence": {"sequence": "float32"}}}], "splits": [{"name": "train", "num_bytes": 1807214112, "num_exa... | 2022-12-04T16:00:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lcbsi-wbc"
More Information needed | [
"# Dataset Card for \"lcbsi-wbc\"\n\nMore Information needed"
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85998e63229fefc675c757d0891205d0ec505378 | # Dataset Card for "linustechtips"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fie... | Whispering-GPT/linustechtips-transcript-audio | [
"task_categories:automatic-speech-recognition",
"whisper",
"whispering",
"medium",
"region:us"
] | 2022-12-04T14:44:41+00:00 | {"task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "channel", "dtype": "string"}, {"name": "channel_id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "categories", "sequence": "string"}, {"name": "tags", "sequence": "stri... | 2022-12-05T11:09:56+00:00 | [] | [] | TAGS
#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us
| # Dataset Card for "linustechtips"
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- C... | [
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3e25b25e1de323772ec67b123ec4918feb7b4a72 | # Dataset Card for "librispeech-augmentated-validation-prepared"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | DTU54DL/librispeech-augmentated-validation-prepared | [
"region:us"
] | 2022-12-04T15:05:34+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "chapter_id", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "input_features", "seq... | 2022-12-04T15:13:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "librispeech-augmentated-validation-prepared"
More Information needed | [
"# Dataset Card for \"librispeech-augmentated-validation-prepared\"\n\nMore Information needed"
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42c0813e51fc632214206b9f20f2d125bfc69833 | Using it for assessment.
# Dataset for Multi Domain （Including Kitchen, Books, DVDs, and Electronics）
[Multi-Domain Sentiment Dataset](https://www.cs.jhu.edu/~mdredze/datasets/sentiment/index2.html) by John Blitzer, Mark Dredze, Fernando Pereira.
### Description：
The Multi-Domain Sentiment Dataset contains product r... | JSSICE/Multi-Domain-Sentiment-Dataset | [
"region:us"
] | 2022-12-04T15:31:40+00:00 | {} | 2022-12-04T17:38:17+00:00 | [] | [] | TAGS
#region-us
| Using it for assessment.
# Dataset for Multi Domain （Including Kitchen, Books, DVDs, and Electronics）
Multi-Domain Sentiment Dataset by John Blitzer, Mark Dredze, Fernando Pereira.
### Description：
The Multi-Domain Sentiment Dataset contains product reviews taken from URL from 4 product types (domains): Kitchen, Boo... | [
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e06c516556d8db1b484b75a78df73e6c6b646e47 | # 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: autoevaluate/summarization-not-evaluated
* Dataset: autoevaluate/xsum-sample
* Config: autoevaluate--xsum-samp... | autoevaluate/autoeval-staging-eval-project-a0b7f8d6-f4e4-45b3-a9ae-cefcb10962b0-128122 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-04T15:48:52+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["autoevaluate/xsum-sample"], "eval_info": {"task": "summarization", "model": "autoevaluate/summarization-not-evaluated", "metrics": [], "dataset_name": "autoevaluate/xsum-sample", "dataset_config": "autoevaluate--xsum-sample", "dataset_split": "t... | 2022-12-04T15:49:30+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: autoevaluate/summarization-not-evaluated
* Dataset: autoevaluate/xsum-sample
* Config: autoevaluate--xsum-sample
* Split: test
To run new evaluat... | [
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c8129741af418d9ae43cfc1fc4f285704e26035f | # Dataset Card for "farsi_paraphrase_detection"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | alighasemi/farsi_paraphrase_detection | [
"region:us"
] | 2022-12-04T16:11:53+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "not_equivalent", "1": "equivalent"}}}}], "splits": [{"name": "train", "num_bytes": 772532.4738052645, "num_examples": 6260}, {"name": "test", "nu... | 2022-12-06T18:39:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "farsi_paraphrase_detection"
More Information needed | [
"# Dataset Card for \"farsi_paraphrase_detection\"\n\nMore Information needed"
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b452ae2d1fa6618796774c33e81a9bb91b9ee4a8 |
# Dataset Card for Babelbox Voice
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | babelbox/babelbox_voice | [
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"language:sv",
"license:cc0-1.0",
"NST",
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] | 2022-12-04T18:25:31+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["sv"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pretty_name": "Babelbox Voice",... | 2023-02-13T21:27:17+00:00 | [] | [
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|
# Dataset Card for Babelbox Voice
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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af91e037ba86e29b8022288d0cbb44f2be04a4e5 | # Dataset Card for "english_wikipedia"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lucadiliello/english_wikipedia | [
"region:us"
] | 2022-12-04T18:59:49+00:00 | {"dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "maintext", "dtype": "string"}, {"name": "source_domain", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10569005563, "num_examples": 4184712}], "dow... | 2022-12-04T19:05:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "english_wikipedia"
More Information needed | [
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edb74e6c88abb38f0a0fc993a7068ab00a32db45 | # Dataset Card for "bookcorpusopen"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lucadiliello/bookcorpusopen | [
"region:us"
] | 2022-12-04T19:05:51+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "title", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6643459928, "num_examples": 17868}], "download_size": 3940589290, "dataset_size": 6643459928}} | 2022-12-04T19:09:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpusopen"
More Information needed | [
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3d5d95dafa03478d4295699c28d3f61941b8bbbc | # Dataset Card for "Food_Final"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | izou3/Food_Final | [
"region:us"
] | 2022-12-04T20:11:44+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 88626665.0, "num_examples": 611}], "download_size": 88172412, "dataset_size": 88626665.0}} | 2022-12-04T20:13:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Food_Final"
More Information needed | [
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778728fa3b6cae9334c506debd85de675c030e66 | # Dataset Card for "met-ds-0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pnadel/met-ds-0 | [
"region:us"
] | 2022-12-04T20:47:19+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 609545229.0, "num_examples": 628}], "download_size": 607994410, "dataset_size": 609545229.0}} | 2022-12-30T20:38:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "met-ds-0"
More Information needed | [
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0381dbda010bebd91d17c3862eec40207c5e44dd | # Dataset Card for "tokenized-recipe-nlg-gpt2-ners-ingredients-only"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pratultandon/tokenized-recipe-nlg-gpt2-ners-ingredients-only | [
"region:us"
] | 2022-12-05T01:28:02+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 1211189668, "num_examples": 2022671}, {"name": "test", "num_bytes": 63599856, "num_examples": 106202}], "download_size": 304111787, "dataset_size": 127478... | 2022-12-06T04:14:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tokenized-recipe-nlg-gpt2-ners-ingredients-only"
More Information needed | [
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b46791def9f75712df2c6c3ba59949d51734df98 | # Dataset Card for "github-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SatCat/github-issues | [
"region:us"
] | 2022-12-05T03:07:14+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "repository_url", "dtype": "string"}, {"name": "labels_url", "dtype": "string"}, {"name": "comments_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "int64"}, ... | 2022-12-05T03:07:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "github-issues"
More Information needed | [
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56b9ec571b4c465c1115b5ba9906fcd64eb8f5ba |
# Dataset Card for [UCLA Bashini Tamil Dataset]
## 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 Structur... | parambharat/ucla_dataset | [
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] | 2022-12-05T07:35:03+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["ta"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pretty_name": "UCLA Bashini Tamil Dataset",... | 2022-12-05T08:46:24+00:00 | [
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|
# Dataset Card for [UCLA Bashini Tamil Dataset]
## 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
- Ann... | [
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c6b53fa441f6e464ae8a5820ff3a9bb28c434505 |
# Dataset Summary
Russian split for [xP3](https://huggingface.co/datasets/bigscience/xP3).
Using the script in this repository as an example it is very easy to add new languages to xP3.
# Citation Information
```
@article{yong2022bloom+,
title={BLOOM+ 1: Adding Language Support to BLOOM for Zero-Shot Prompting},... | bs-la/xP3ru | [
"language:ru",
"arxiv:2211.01786",
"region:us"
] | 2022-12-05T07:35:25+00:00 | {"language": ["ru"]} | 2023-01-09T20:16:35+00:00 | [
"2211.01786"
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#language-Russian #arxiv-2211.01786 #region-us
|
# Dataset Summary
Russian split for xP3.
Using the script in this repository as an example it is very easy to add new languages to xP3.
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0e142d1253a815f7a180038baeb8eb480c8e1215 | # Dataset Card for "vie-book"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hieule/vie-book | [
"region:us"
] | 2022-12-05T09:39:49+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7481512027, "num_examples": 3620527}], "download_size": 3948213824, "dataset_size": 7481512027}} | 2022-12-13T10:40:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vie-book"
More Information needed | [
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e2a7f3ebf24b2914f5a8f24e703b864771a98ffa | # Dataset Card for "TH_corpora_parliament_processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Thanapon1998/TH_corpora_parliament_processed | [
"region:us"
] | 2022-12-05T10:13:25+00:00 | {"dataset_info": {"features": [{"name": "review_body", "dtype": "string"}, {"name": "star_rating", "dtype": {"class_label": {"names": {"0": "1", "1": "2", "2": "3", "3": "4", "4": "5"}}}}], "splits": [{"name": "train", "num_bytes": 60691412, "num_examples": 40000}], "download_size": 25964649, "dataset_size": 60691412}} | 2022-12-05T10:13:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "TH_corpora_parliament_processed"
More Information needed | [
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2c60fe7070a9e86ca7ba90258114a2e6595bed09 |
# Dataset Card for ATCO2 test set corpus (1hr set)
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages and Other Details](#languages-and-other-details)
- [Dataset Structure](... | Jzuluaga/atco2_corpus_1h | [
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|
# Dataset Card for ATCO2 test set corpus (1hr set)
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages and Other Details
- Dataset Structure
- Data Fields
- Additional Information
- Licensing Information
- Citation Information
## Dataset Descriptio... | [
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c86f52fc77bc019576c1a66375a47f2e64b93e6d |
### Dataset Summary
Augmented part of the test data of the LibriSpeech dataset.
As a basis, the original part of the test was taken, and augmentation was carried out to add extraneous noise.
| joefox/LibriSpeech_test_noise | [
"license:apache-2.0",
"region:us"
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#license-apache-2.0 #region-us
|
### Dataset Summary
Augmented part of the test data of the LibriSpeech dataset.
As a basis, the original part of the test was taken, and augmentation was carried out to add extraneous noise.
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b16eca1126c332cbd870e2dd4c7e474fa1b0b38e | # Dataset Card for "asnq"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lucadiliello/asnq | [
"region:us"
] | 2022-12-05T11:14:52+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "key", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 87612019, "num_examples": 466148}, {"name": "dev", "num_bytes": 87607015, "num_examples": 46391... | 2022-12-05T11:17:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "asnq"
More Information needed | [
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90a6e07f98068a397b406147acf323a6c64796db | # Dataset Card for DataTranslationDT
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-inst... | EmnaBou/DataTranslationDT | [
"task_categories:translation",
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"multilinguality:multilingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:ar",
"license:unknown",
"region:us"
] | 2022-12-05T11:30:07+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["ar"], "license": ["unknown"], "multilinguality": ["multilingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "DataTranslationDT", "dataset_info": ... | 2022-12-12T12:56:36+00:00 | [] | [
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#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-multilingual #size_categories-100K<n<1M #source_datasets-original #language-Arabic #license-unknown #region-us
| # Dataset Card for DataTranslationDT
## 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 Sensit... | [
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a809d84d5f8ac35d4e1737d347ec999922f594c5 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | parambharat/mile_dataset | [
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"Tamil ASR",
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# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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- Dataset Structure
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- Data Splits
- Dataset Creation
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1b0e9acd975a677bb7505d9f1ba88cf0c2f884b4 |
# Dataset Card for BibleTTS Hausa
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
-... | vpetukhov/bible_tts_hausa | [
"task_categories:automatic-speech-recognition",
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|
# Dataset Card for BibleTTS Hausa
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Fields
- Data Splits
- Additional Information
- Dataset Curators
- Licensing Information
- Citation Information
## Dataset Description
- Homepage: U... | [
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"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Languages\n- Dataset Structure\n - Data Fields\n - Data Splits\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information",
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0cd86b382b3e54ba4febdb6924baadb10f7ce45b |
### Dataset Summary
Augmented part of the test data of the Mozilla Common Voice (part 10, en, test) dataset.
As a basis, the original part of the test was taken, and augmentation was carried out to add extraneous noise.
Part dataset: test
| joefox/Mozilla_Common_Voice_en_test_noise | [
"license:apache-2.0",
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] | 2022-12-05T12:00:21+00:00 | {"license": "apache-2.0"} | 2022-12-06T11:15:48+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
### Dataset Summary
Augmented part of the test data of the Mozilla Common Voice (part 10, en, test) dataset.
As a basis, the original part of the test was taken, and augmentation was carried out to add extraneous noise.
Part dataset: test
| [
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] |
241bc5d7f6cb498fd3613e58e87d572d1a8d3971 |
### Dataset Summary
Augmented part of the test data of the Mozilla Common Voice (part 10, ru, test) dataset.
As a basis, the original part of the test was taken, and augmentation was carried out to add extraneous noise.
Part dataset: test
| joefox/Mozilla_Common_Voice_ru_test_noise | [
"license:apache-2.0",
"region:us"
] | 2022-12-05T12:01:35+00:00 | {"license": "apache-2.0"} | 2022-12-05T16:08:43+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
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### Dataset Summary
Augmented part of the test data of the Mozilla Common Voice (part 10, ru, test) dataset.
As a basis, the original part of the test was taken, and augmentation was carried out to add extraneous noise.
Part dataset: test
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ce6af0d17318e8d335f687f8380b78c0a477dd72 |
### Dataset Summary
Augmented part of the test data of the Russian LibriSpeech (RuLS) test part dataset.
As a basis, the original part of the test was taken, and augmentation was carried out to add extraneous noise.
Part dataset: test
| joefox/Russian_LibriSpeech_RuLS_test_noise | [
"license:apache-2.0",
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#license-apache-2.0 #region-us
|
### Dataset Summary
Augmented part of the test data of the Russian LibriSpeech (RuLS) test part dataset.
As a basis, the original part of the test was taken, and augmentation was carried out to add extraneous noise.
Part dataset: test
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b7947cfca7ad33753bd31831ce5f4e3457926be5 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: autoevaluate/multi-class-classification-not-evaluated
* Dataset: emotion
* Config: default
*... | autoevaluate/autoeval-staging-eval-emotion-default-a0d22e-17376346 | [
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"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: autoevaluate/multi-class-classification-not-evaluated
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation ... | [
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c305d1178b65afadcdb1cc333e6809b51e25c3d1 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
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... | autoevaluate/autoeval-staging-eval-emotion-default-a0d22e-17376347 | [
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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: Multi-class Text Classification
* Model: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hu... | [
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fb50c2a442ad3bc02637558aa84a52572b4d5183 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewtun/sagemaker-distilbert-emotion
* Dataset: emotion
* Config: default
* Split: test
To r... | autoevaluate/autoeval-staging-eval-emotion-default-73111d-17386348 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewtun/sagemaker-distilbert-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Huggin... | [
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6e1d51c08b728309212a96765eb85ab89aa2075d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewtun/minilm-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run n... | autoevaluate/autoeval-staging-eval-emotion-default-73111d-17386349 | [
"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: Multi-class Text Classification
* Model: lewtun/minilm-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Fa... | [
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8cadcca6588ed0f8bdf158c75b76f35467185e73 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewtun/sagemaker-distilbert-emotion-1
* Dataset: emotion
* Config: default
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To... | autoevaluate/autoeval-staging-eval-emotion-default-73111d-17386351 | [
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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: Multi-class Text Classification
* Model: lewtun/sagemaker-distilbert-emotion-1
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hugg... | [
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ca42ec21794d329c77cfb645b6aca758c7d30db5 | # Dataset Card for "pl-text-images-5000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Zombely/pl-text-images-5000 | [
"region:us"
] | 2022-12-05T14:23:08+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 379657561.26, "num_examples": 4018}, {"name": "test", "num_bytes": 49155811.0, "num_examples": 516}, {"name": "validation", "num_bytes": 44168746.0, "num_examples":... | 2022-12-05T14:24:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pl-text-images-5000"
More Information needed | [
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6eebe103a951d14d02f96d485542151acdd858e8 |
# Dataset Card for NoisyNER
## 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-structur... | phucdev/noisyner | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
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"1997-200... | 2022-12-05T14:30:17+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["et"], "license": ["cc-by-nc-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "... | 2023-01-05T12:09:58+00:00 | [
"2101.09763",
"2102.13129"
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"et"
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#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Estonian #license-cc-by-nc-4.0 #newspapers #1997-2009 #arxiv-2101.09763 #arxiv-2102.1... | Dataset Card for NoisyNER
=========================
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... | [
"### Dataset Summary\n\n\nNoisyNER is a dataset for the evaluation of methods to handle noisy labels when training machine learning models.\n\n\n* Entity Types: 'PER', 'ORG', 'LOC'\n\n\nIt is from the NLP/Information Extraction domain and was created through a realistic distant supervision technique. Some highlight... | [
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cea834486a49858f650c75b486b6939d30696971 | # Dataset Card for "trecqa"
TREC-QA dataset for Answer Sentence Selection. The dataset contains 2 additional splits which are `clean` versions of the original development and test sets. `clean` versions contain only questions which have at least a positive and a negative answer candidate. | lucadiliello/trecqa | [
"region:us"
] | 2022-12-05T15:04:54+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "answer", "dtype": "string"}, {"name": "key", "dtype": "int64"}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test_clean", "num_bytes": 298298, "num_examples": 1442}, {"name": "train_all", "num_bytes": 12030615, "num_examples... | 2022-12-05T15:10:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "trecqa"
TREC-QA dataset for Answer Sentence Selection. The dataset contains 2 additional splits which are 'clean' versions of the original development and test sets. 'clean' versions contain only questions which have at least a positive and a negative answer candidate. | [
"# Dataset Card for \"trecqa\"\n\nTREC-QA dataset for Answer Sentence Selection. The dataset contains 2 additional splits which are 'clean' versions of the original development and test sets. 'clean' versions contain only questions which have at least a positive and a negative answer candidate."
] | [
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"# Dataset Card for \"trecqa\"\n\nTREC-QA dataset for Answer Sentence Selection. The dataset contains 2 additional splits which are 'clean' versions of the original development and test sets. 'clean' versions contain only questions which have at least a positive and a negative answer candid... | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"trecqa\"\n\nTREC-QA dataset for Answer Sentence Selection. The dataset contains 2 additional splits which are 'clean' versions of the original development and test sets. 'clean' versions contain only questions which have at least a positive and a negative answer can... |
0c65aa7afa2205248e4ff201c467f79f55f2aa07 | # Dataset Card for "wikiqa"
WikiQA dataset for Answer Sentence Selection. The dataset contains 2 additional splits which are `clean` versions of the original development and test sets. `clean` versions contain only questions which have at least a positive and a negative answer candidate. | lucadiliello/wikiqa | [
"region:us"
] | 2022-12-05T15:06:32+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "answer", "dtype": "string"}, {"name": "key", "dtype": "int64"}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test_clean", "num_bytes": 449691, "num_examples": 2341}, {"name": "dev_clean", "num_bytes": 214886, "num_examples":... | 2022-12-05T15:09:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikiqa"
WikiQA dataset for Answer Sentence Selection. The dataset contains 2 additional splits which are 'clean' versions of the original development and test sets. 'clean' versions contain only questions which have at least a positive and a negative answer candidate. | [
"# Dataset Card for \"wikiqa\"\n\nWikiQA dataset for Answer Sentence Selection. The dataset contains 2 additional splits which are 'clean' versions of the original development and test sets. 'clean' versions contain only questions which have at least a positive and a negative answer candidate."
] | [
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"# Dataset Card for \"wikiqa\"\n\nWikiQA dataset for Answer Sentence Selection. The dataset contains 2 additional splits which are 'clean' versions of the original development and test sets. 'clean' versions contain only questions which have at least a positive and a negative answer candida... | [
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6925593a2b69dfeeef905ec5d5a8763e3b6012ba | ## Context
I got inspiration for this dataset from the [Rick&Morty Scripts](https://www.kaggle.com/datasets/andradaolteanu/rickmorty-scripts) by [Andrada Olteanu](https://www.kaggle.com/andradaolteanu) but felt like dataset was a little small and outdated
This dataset includes almost all the episodes till Season 5. ... | Prarabdha/Rick_and_Morty_Transcript | [
"license:mit",
"region:us"
] | 2022-12-05T16:02:12+00:00 | {"license": "mit"} | 2022-12-05T16:09:45+00:00 | [] | [] | TAGS
#license-mit #region-us
| ## Context
I got inspiration for this dataset from the Rick&Morty Scripts by Andrada Olteanu but felt like dataset was a little small and outdated
This dataset includes almost all the episodes till Season 5. More data will be updated
## Content
Rick and Morty Transcripts:
- index: index of the row
- speaker: the c... | [
"## Context\n\nI got inspiration for this dataset from the Rick&Morty Scripts by Andrada Olteanu but felt like dataset was a little small and outdated\n\nThis dataset includes almost all the episodes till Season 5. More data will be updated",
"## Content\nRick and Morty Transcripts:\n\n- index: index of the row\... | [
"TAGS\n#license-mit #region-us \n",
"## Context\n\nI got inspiration for this dataset from the Rick&Morty Scripts by Andrada Olteanu but felt like dataset was a little small and outdated\n\nThis dataset includes almost all the episodes till Season 5. More data will be updated",
"## Content\nRick and Morty Tran... | [
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"passage: TAGS\n#license-mit #region-us \n## Context\n\nI got inspiration for this dataset from the Rick&Morty Scripts by Andrada Olteanu but felt like dataset was a little small and outdated\n\nThis dataset includes almost all the episodes till Season 5. More data will be updated## Content\nRick and Morty Transcr... |
2ea389870752c7c33cc6cca3351e46c18774b79a | # Dataset Card for "ESCWA"
Collected over two days of meetings of the United Nations Economic and Social Commission for West Asia (ESCWA) in 2019. The data includes intrasentential code alternation between Arabic and English. In the case of Algerian, Tunisian, and Moroccan native speakers, the switch is between Arabic ... | arbml/ESCWA | [
"region:us"
] | 2022-12-05T16:03:38+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 783712001.0, "num_examples": 24}], "download_size": 766073404, "dataset_size": 783712001.0}} | 2022-12-05T20:06:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ESCWA"
Collected over two days of meetings of the United Nations Economic and Social Commission for West Asia (ESCWA) in 2019. The data includes intrasentential code alternation between Arabic and English. In the case of Algerian, Tunisian, and Moroccan native speakers, the switch is between Arabic ... | [
"# Dataset Card for \"ESCWA\"\nCollected over two days of meetings of the United Nations Economic and Social Commission for West Asia (ESCWA) in 2019. The data includes intrasentential code alternation between Arabic and English. In the case of Algerian, Tunisian, and Moroccan native speakers, the switch is between... | [
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"# Dataset Card for \"ESCWA\"\nCollected over two days of meetings of the United Nations Economic and Social Commission for West Asia (ESCWA) in 2019. The data includes intrasentential code alternation between Arabic and English. In the case of Algerian, Tunisian, and Moroccan native speake... | [
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f2ea4b91d6af899fac610c608ae8e90f1cb28448 | # Dataset Card for "clinical_trial_texts"
These are the text of clinical trials dowloaded from https://ClinicalTrials.gov/AllAPIJSON.zip on Dec 3rd 2022.
Total trials is 434977
Number of tokens is 2,184,397,556 (2.1bn tokens).
The tokens here are from the default BERT tokenizer in hugginface.
This data can be used ... | domenicrosati/clinical_trial_texts | [
"region:us"
] | 2022-12-05T16:45:55+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "trial_id", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 22784316806, "num_examples":... | 2022-12-05T17:34:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "clinical_trial_texts"
These are the text of clinical trials dowloaded from URL on Dec 3rd 2022.
Total trials is 434977
Number of tokens is 2,184,397,556 (2.1bn tokens).
The tokens here are from the default BERT tokenizer in hugginface.
This data can be used for pretraining in the clinical trial ... | [
"# Dataset Card for \"clinical_trial_texts\"\n\nThese are the text of clinical trials dowloaded from URL on Dec 3rd 2022.\n\nTotal trials is 434977\nNumber of tokens is 2,184,397,556 (2.1bn tokens).\n\nThe tokens here are from the default BERT tokenizer in hugginface.\n\nThis data can be used for pretraining in the... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"clinical_trial_texts\"\n\nThese are the text of clinical trials dowloaded from URL on Dec 3rd 2022.\n\nTotal trials is 434977\nNumber of tokens is 2,184,397,556 (2.1bn tokens).\n\nThe tokens here are from the default BERT tokenizer in hugginface.\n\nThis data can be us... | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"clinical_trial_texts\"\n\nThese are the text of clinical trials dowloaded from URL on Dec 3rd 2022.\n\nTotal trials is 434977\nNumber of tokens is 2,184,397,556 (2.1bn tokens).\n\nThe tokens here are from the default BERT tokenizer in hugginface.\n\nThis data can be... |
615c6cbedea89e67705b09020e4046d33698bbeb | # 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-1-1
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jo... | autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-5bee1b-2343673799 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-05T17:07:29+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "sshleifer/distilbart-xsum-1-1", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "article", "target": "h... | 2022-12-05T17:22:59+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: sshleifer/distilbart-xsum-1-1
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic m... | [
"# 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: sshleifer/distilbart-xsum-1-1\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Fac... | [
"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: sshleifer/distilbart-xsum-1-1\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\... | [
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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: sshleifer/distilbart-xsum-1-1\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: te... |
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