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f8b94a675924121f7d3785ebbf46c198187dc6ae | # Dataset Card for "MULTI_VALUE_MNLI_that_resultative_past_participle"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_mnli_that_resultative_past_participle | [
"region:us"
] | 2022-12-15T12:12:31+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 82248, "num_examples": 348}, {"name": "dev_matched", "... | 2022-12-15T12:12:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_MNLI_that_resultative_past_participle"
More Information needed | [
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2263f4a1af106cba10d01d39e88c0ca2305b6f25 | # Dataset Card for "text_recognition_en_zh_clean"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | priyank-m/text_recognition_en_zh_clean | [
"region:us"
] | 2022-12-15T12:22:22+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "val", "num_bytes": 53886975.51, "num_examples": 2910}, {"name": "test", "num_bytes": 55192498.476, "num_examples": 2894}, {"name": "train", "num_bytes": 26744379885.02228, "num_examples": 13967... | 2022-12-16T18:05:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "text_recognition_en_zh_clean"
More Information needed | [
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82793ac62e2e86dd2e4ffce8a0a63b87408c47a3 | # Dataset Card for "preprocessed_jsut_jsss_css10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vumichien/preprocessed_jsut_jsss_css10 | [
"region:us"
] | 2022-12-15T13:03:03+00:00 | {"dataset_info": {"features": [{"name": "audio", "struct": [{"name": "array", "sequence": "float32"}, {"name": "path", "dtype": "string"}, {"name": "sampling_rate", "dtype": "int64"}]}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7003135912, "num_examples": 18160}], "download_siz... | 2022-12-15T13:06:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "preprocessed_jsut_jsss_css10"
More Information needed | [
"# Dataset Card for \"preprocessed_jsut_jsss_css10\"\n\nMore Information needed"
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4ad3df7317bd71f9da11dee39898120bcb95ed86 | # Dataset Card for "preprocessed_jsut_jsss_css10_common_voice_11"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vumichien/preprocessed_jsut_jsss_css10_common_voice_11 | [
"region:us"
] | 2022-12-15T13:10:37+00:00 | {"dataset_info": {"features": [{"name": "audio", "struct": [{"name": "array", "sequence": "float32"}, {"name": "path", "dtype": "string"}, {"name": "sampling_rate", "dtype": "int64"}]}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10432449169, "num_examples": 29150}, {"name": "tes... | 2022-12-15T13:17:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "preprocessed_jsut_jsss_css10_common_voice_11"
More Information needed | [
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91ccf68006210c5b6d3811bb2800ed0f26f2de81 | # Dataset Card for "clinic-work"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | fathyshalab/clinic-work | [
"region:us"
] | 2022-12-15T13:25:12+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "label_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 39848.2, "num_examples": 525}, {"name": "test", "num_bytes": 17077.8, "num_examples": 2... | 2022-12-24T05:55:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "clinic-work"
More Information needed | [
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2b2254931a8229c449f08bf937d4405b2a3c4b79 | # Dataset Card for "yannic-kilcher-transcript-audio"
## 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... | Whispering-GPT/yannick-kilcher-transcript-audio | [
"task_categories:automatic-speech-recognition",
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#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us
| # Dataset Card for "yannic-kilcher-transcript-audio"
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
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60512e89e68841b6b5ed1be59caf97b169f0d27a |
# 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-s... | masakhane/masakhaner2 | [
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"langu... | 2022-12-15T13:28:09+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["bm", "bbj", "ee", "fon", "ha", "ig", "rw", "lg", "luo", "mos", "ny", "pcm", "sn", "sw", "tn", "tw", "wo", "xh", "yo", "zu"], "license": ["afl-3.0"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"... | 2023-09-11T17:00:07+00:00 | [
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===============================
Table of Contents
-----------------
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* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
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33e7302db76eda5e1cf963615605ed03434f4513 | # Dataset Card for "NLQuAD"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits... | LLukas22/NLQuAD | [
"task_ids:extractive-qa",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-3.0",
"region:us"
] | 2022-12-15T15:05:57+00:00 | {"language": ["en"], "license": ["cc-by-3.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_ids": ["extractive-qa"], "pretty_name": "NLQuAD", "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "paragraphs", "list": [{"name": ... | 2022-12-23T13:04:58+00:00 | [] | [
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| Dataset Card for "NLQuAD"
=========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
* Dataset Structure
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+ Data Fields
+ Data Splits
* Additional Information
+ Licensing Information
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Dataset Description
---... | [
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39773343c536d17028c3311abaf50ef0bc49bd24 |
# Dataset Card for Multi<sup>3</sup>NLU++
## 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](#dat... | uoe-nlp/multi3-nlu | [
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|
# Dataset Card for Multi<sup>3</sup>NLU++
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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- Personal and Sensitive Inform... | [
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145d48995c3839609d2a7e7460c9bb9a5be6df66 | # Dataset Card for "common_voice_11_0_id_filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | evanarlian/common_voice_11_0_id_filtered | [
"region:us"
] | 2022-12-15T16:05:49+00:00 | {"dataset_info": {"features": [{"name": "client_id", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}, {"name": "up_votes", "dtype": "int64"}, {"name": "down_votes", "dtype": "int64"}, {"name": "age", "dtype... | 2022-12-15T16:06:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "common_voice_11_0_id_filtered"
More Information needed | [
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b7b603a637c056fe07d381f21c878d6002bd4758 | # Dataset Card for "python_vul_cvefix"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EddieChen372/python_vul_cvefix | [
"region:us"
] | 2022-12-15T16:39:23+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "CWE-22", "1": "CWE-79", "2": "CWE-89", "3": "CWE-352", "4": "CWE-601", "5": "CWE-94"}}}}, {"name": "code_before", "dtype": "string"}, {"name": "code_after", "dtype": "string"}, {"name": "label_text", "dtype": "string"}, {"name": ... | 2022-12-15T16:40:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "python_vul_cvefix"
More Information needed | [
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34a2b1e78876a914e12d94f2492aad0f4d700df0 | # Dataset Card for "titanic"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lewtun/titanic | [
"kaggle",
"region:us"
] | 2022-12-15T17:56:38+00:00 | {"tags": ["kaggle"], "dataset_info": {"features": [{"name": "PassengerId", "dtype": "int64"}, {"name": "Survived", "dtype": "int64"}, {"name": "Pclass", "dtype": "int64"}, {"name": "Name", "dtype": "string"}, {"name": "Sex", "dtype": "string"}, {"name": "Age", "dtype": "float64"}, {"name": "SibSp", "dtype": "int64"}, {... | 2022-12-15T17:59:50+00:00 | [] | [] | TAGS
#kaggle #region-us
| # Dataset Card for "titanic"
More Information needed | [
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a881ea99d11c85b7e7263d818be38d87415132b8 | 18/1-22/10 pixiv monthly ranking top50 & yandere images 110k
with txt | haor/pixiv-yandere | [
"license:openrail",
"region:us"
] | 2022-12-15T18:38:01+00:00 | {"license": "openrail"} | 2022-12-16T12:32:39+00:00 | [] | [] | TAGS
#license-openrail #region-us
| 18/1-22/10 pixiv monthly ranking top50 & yandere images 110k
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7016f3062103cde04b4551204be4ae99d950db0b |
This dataset is a random 1/3 slice of the original [told-br](https://huggingface.co/datasets/told-br) | alexandreteles/told_br_binary_sm | [
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dc95e5c611f14a95f798dfeb236a6f67aa8252ae | # AutoTrain Dataset for project: told_br_binary_sm
## Dataset Description
This dataset has been automatically processed by AutoTrain for project told_br_binary_sm.
### Languages
The BCP-47 code for the dataset's language is pt.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
... | alexandreteles/autotrain-data-told_br_binary_sm | [
"task_categories:text-classification",
"language:pt",
"region:us"
] | 2022-12-15T21:28:30+00:00 | {"language": ["pt"], "task_categories": ["text-classification"]} | 2022-12-15T21:29:16+00:00 | [] | [
"pt"
] | TAGS
#task_categories-text-classification #language-Portuguese #region-us
| AutoTrain Dataset for project: told\_br\_binary\_sm
===================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project told\_br\_binary\_sm.
### Languages
The BCP-47 code for the dataset's language is pt.
Dataset S... | [
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84de4ed4ed041e25f9d3bb95ebb7bf3f4e3551ff |
This post was originally published on the [Hugging Face blog 🤗](https://huggingface.co/blog/ethics-soc-2)
# Ethics and Society Newsletter #2
## Let’s Talk about Bias!
_Bias in ML is ubiquitous, and Bias in ML is complex; so complex in fact that no single technical intervention is likely to meaningfully address the ... | yjernite/EthicsSocietyBlogBias | [
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|
This post was originally published on the Hugging Face blog
# Ethics and Society Newsletter #2
## Let’s Talk about Bias!
_Bias in ML is ubiquitous, and Bias in ML is complex; so complex in fact that no single technical intervention is likely to meaningfully address the problems it engenders. ML models, as sociotech... | [
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fe54a6270b82e5076657694d18b4930ddbedc9a8 |
This post was originally published on the [Hugging Face blog 🤗](https://huggingface.co/blog/ethics-soc-2)
# Ethics and Society Newsletter #2
## Let’s Talk about Bias!
_Bias in ML is ubiquitous, and Bias in ML is complex; so complex in fact that no single technical intervention is likely to meaningfully address the ... | society-ethics/BlogPostBias | [
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|
This post was originally published on the Hugging Face blog
# Ethics and Society Newsletter #2
## Let’s Talk about Bias!
_Bias in ML is ubiquitous, and Bias in ML is complex; so complex in fact that no single technical intervention is likely to meaningfully address the problems it engenders. ML models, as sociotech... | [
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"passage: ## Let’s Talk about Bias!\n\n_Bias in ML is ubiquitous, and Bias in ML is complex; so complex in fact that ... |
4e17be0aeca4ff010c61c0cbaa53beaf67b225fa | # AutoTrain Dataset for project: told_br_binary_sm_bertimbau
## Dataset Description
This dataset has been automatically processed by AutoTrain for project told_br_binary_sm_bertimbau.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this datas... | alexandreteles/autotrain-data-told_br_binary_sm_bertimbau | [
"task_categories:text-classification",
"region:us"
] | 2022-12-15T22:29:35+00:00 | {"task_categories": ["text-classification"]} | 2022-12-15T22:30:17+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: told\_br\_binary\_sm\_bertimbau
==============================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project told\_br\_binary\_sm\_bertimbau.
### Languages
The BCP-47 code for the data... | [
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07c68c26cba253dd00e08d69ef9f9cc1d4f262bf | # Dataset Card for "clinic-utility"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
```
@inproceedings{larson-etal-2019-evaluation,
title = "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction",
author ... | fathyshalab/clinic-utility | [
"region:us"
] | 2022-12-15T23:22:54+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "label_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 33764.5, "num_examples": 525}, {"name": "test", "num_bytes": 14470.5, "num_examples": 2... | 2023-05-15T07:51:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "clinic-utility"
More Information needed
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b26be3e5d8bbcafbf6f1f5a28ed17e66d194fa67 | # Dataset Card for "butterflies_10k_names_multiple"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sasha/butterflies_10k_names_multiple | [
"region:us"
] | 2022-12-15T23:37:13+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "description", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "sim_score", "dtype": "float64"}, {"name": "name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 260929983.907, "num_examples": 7061}], "download_... | 2022-12-15T23:37:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "butterflies_10k_names_multiple"
More Information needed | [
"# Dataset Card for \"butterflies_10k_names_multiple\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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9255cf3d7c8184c91fdfcbacda3bd0f0ea4af2b6 | # Dataset Card for "mnli_AppE"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/mnli_AppE | [
"region:us"
] | 2022-12-16T01:33:18+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 77770885, "num_examples": 383973}, {"name": "dev_matched", "num_bytes": 1943955, "num_examp... | 2022-12-16T01:37:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mnli_AppE"
More Information needed | [
"# Dataset Card for \"mnli_AppE\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"mnli_AppE\"\n\nMore Information needed"
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513e54e089197671f12d4acc87f3c9b6be0aebd6 | annotations_creators:
- expert-generated
language_creators:
- other
-
license:
- mit
pretty_name: mnist extended
size_categories:
- 10K<n<100K
task_categories:
- image-classification
| seftontycho/mnist-extended-1 | [
"region:us"
] | 2022-12-16T01:33:35+00:00 | {} | 2022-12-16T01:40:20+00:00 | [] | [] | TAGS
#region-us
| annotations_creators:
- expert-generated
language_creators:
- other
-
license:
- mit
pretty_name: mnist extended
size_categories:
- 10K<n<100K
task_categories:
- image-classification
| [] | [
"TAGS\n#region-us \n"
] | [
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593c095f859fcc32d9f09c78a676fa6344fabf7c | # Dataset Card for "mnli_ChcE"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/mnli_ChcE | [
"region:us"
] | 2022-12-16T01:37:48+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 75380580, "num_examples": 383734}, {"name": "dev_matched", "num_bytes": 1887265, "num_examp... | 2022-12-16T01:38:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mnli_ChcE"
More Information needed | [
"# Dataset Card for \"mnli_ChcE\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"mnli_ChcE\"\n\nMore Information needed"
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253e0ec30f757fb87e8186d742028ff5e46d9dc0 | # Dataset Card for "mnli_CollSgE"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/mnli_CollSgE | [
"region:us"
] | 2022-12-16T01:39:15+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 70113002, "num_examples": 383726}, {"name": "dev_matched", "num_bytes": 1755041, "num_examp... | 2022-12-16T01:39:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mnli_CollSgE"
More Information needed | [
"# Dataset Card for \"mnli_CollSgE\"\n\nMore Information needed"
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1608d4a261af219df1c1f406695cc2a46af2649b | # Dataset Card for "mnli_IndE"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/mnli_IndE | [
"region:us"
] | 2022-12-16T01:40:49+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 75917760, "num_examples": 383924}, {"name": "dev_matched", "num_bytes": 1900229, "num_examp... | 2022-12-16T01:41:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mnli_IndE"
More Information needed | [
"# Dataset Card for \"mnli_IndE\"\n\nMore Information needed"
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264c7c9f6a91bf5a72606a9df2c37f3efed5b1b6 | # Dataset Card for "mnli_MULTI"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/mnli_MULTI | [
"region:us"
] | 2022-12-16T01:43:06+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 79281363, "num_examples": 384388}, {"name": "dev_matched", "num_bytes": 1983976, "num_examp... | 2022-12-16T01:43:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mnli_MULTI"
More Information needed | [
"# Dataset Card for \"mnli_MULTI\"\n\nMore Information needed"
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"# Dataset Card for \"mnli_MULTI\"\n\nMore Information needed"
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b20791392860e0919ab7c0f94b6f590da8c5f350 |
This dataset is extracted from the Visual Novel "Milk inside a bag of milk inside a bag of milk."
Please refer to the `milk_dialog_dataset.ipynb` file to see how the dataset was pre-processed. | alexandreteles/milk | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-12-16T03:10:11+00:00 | {"language": ["en"], "license": "other", "multilinguality": ["monolingual"], "pretty_name": "milk", "language_bcp47": ["en-US"]} | 2022-12-27T17:49:14+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
This dataset is extracted from the Visual Novel "Milk inside a bag of milk inside a bag of milk."
Please refer to the 'milk_dialog_dataset.ipynb' file to see how the dataset was pre-processed. | [] | [
"TAGS\n#multilinguality-monolingual #language-English #license-other #region-us \n"
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43e39604a2a1ff24fe3857ef13c112368a6e45ac | # Dataset Card for "common_voice_11_0_th_w2v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Botnoi/common_voice_11_0_th_w2v2 | [
"region:us"
] | 2022-12-16T04:21:21+00:00 | {"dataset_info": {"features": [{"name": "input_values", "sequence": "float32"}, {"name": "input_length", "dtype": "int64"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 12075286848.556108, "num_examples": 42779}, {"name": "validation", "num_bytes": 1632681586.0, "num_examples": 54... | 2023-02-01T12:25:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "common_voice_11_0_th_w2v2"
More Information needed | [
"# Dataset Card for \"common_voice_11_0_th_w2v2\"\n\nMore Information needed"
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4c3562fbc67afe83a70873fc782a5c1411d1b7fd | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad
* Dataset: squad
* Config: p... | autoevaluate/autoeval-eval-squad-plain_text-58f506-2493576894 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-16T07:23:54+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "va... | 2022-12-16T07:28:12+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To ru... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad\n* ... |
18fe77b882f32df0575bfb911dda5a3a212d492a | # Dataset Card for "OSD-Dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
This is a reformat of Huggingface Project's [SD Multiplayer Dataset](https://huggingface.co/datasets/huggingface-projects/sd-multiplayer-data)
It conver... | BirdL/OSD-Dataset | [
"region:us"
] | 2022-12-16T07:30:34+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7440671071.55, "num_examples": 198771}], "download_size": 7196594621, "dataset_size": 7440671071.55}} | 2022-12-19T19:43:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OSD-Dataset"
More Information needed
This is a reformat of Huggingface Project's SD Multiplayer Dataset
It converts the image bucket into a parquet format. The text column is the prompt + the timestamp for it to the minutes precision.
The model finetuned on it is here | [
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0f465b676513506f29f15c39ec19ccdcb0687562 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad
* Dataset: squad_v2
* Config... | autoevaluate/autoeval-eval-squad_v2-squad_v2-878283-2493776900 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-16T07:35:38+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad", "metrics": ["precision", "recall"], "dataset_name": "squad_v2", "dataset_config": "squad_... | 2022-12-16T07:40:00+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To r... | [
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62dfdc0c261fd6029582f165b8d772f05712253b | # Dataset Card for "yannick-kilcher-transcript-wav"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | matallanas/yannick-kilcher-transcript-wav | [
"region:us"
] | 2022-12-16T07:49:11+00:00 | {"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": "string"}, {"name": "description", "dtype": "string"}, {"n... | 2022-12-16T10:11:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "yannick-kilcher-transcript-wav"
More Information needed | [
"# Dataset Card for \"yannick-kilcher-transcript-wav\"\n\nMore Information needed"
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9253555e8c5ec0890c85f4cddfe8053aaef49247 | # Dataset Card for "kaggle-mbti-cleaned-augmented"
This dataset is built upon [Shunian/kaggle-mbti-cleaned](https://huggingface.co/datasets/Shunian/kaggle-mbti-cleaned) to address the sample imbalance problem.
Thanks to the [Parrot Paraphraser](https://github.com/PrithivirajDamodaran/Parrot_Paraphraser) and [NLP AUG](... | Shunian/kaggle-mbti-cleaned-augmented | [
"region:us"
] | 2022-12-16T09:30:11+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 74489242, "num_examples": 478389}, {"name": "test", "num_bytes": 12922409, "num_examples": 81957}], "download_size": 56815784, "dataset_size": 87411651}} | 2022-12-16T09:46:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "kaggle-mbti-cleaned-augmented"
This dataset is built upon Shunian/kaggle-mbti-cleaned to address the sample imbalance problem.
Thanks to the Parrot Paraphraser and NLP AUG, some of the skewness issue are addressed in the training data, make it grows from 328,660 samples to 478,389 samples in total.... | [
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926a3f36d6d4066dea2cca2736494af477dc1864 | # Dataset Card for "swiss_parliament_corpus"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yanickschraner/swiss_parliament_corpus | [
"region:us"
] | 2022-12-16T10:13:00+00:00 | {"dataset_info": {"features": [{"name": "client_id", "dtype": "int64"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}, {"name": "up_votes", "dtype": "float64"}, {"name": "down_votes", "dtype": "float64"}, {"name": "age", "dtype": "float64"}, {"name": "gender", ... | 2022-12-16T13:44:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "swiss_parliament_corpus"
More Information needed | [
"# Dataset Card for \"swiss_parliament_corpus\"\n\nMore Information needed"
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d667b8e3420edef64bbf14e8c26030d156e2e012 | Hi, this is my first dataset. If you know how to make it better, please leave a comment | sbad/biographySummaries | [
"license:cc",
"region:us"
] | 2022-12-16T12:47:25+00:00 | {"license": "cc"} | 2022-12-17T10:15:55+00:00 | [] | [] | TAGS
#license-cc #region-us
| Hi, this is my first dataset. If you know how to make it better, please leave a comment | [] | [
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b804913a330ab772fa9340c9e53ab50d688a4d5e | # Dataset Card for "test_torch"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | polinaeterna/test_torch | [
"region:us"
] | 2022-12-16T14:26:59+00:00 | {"dataset_info": {"features": [{"name": "data", "dtype": "float64"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 368, "num_examples": 16}], "download_size": 1376, "dataset_size": 368}} | 2022-12-16T14:27:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_torch"
More Information needed | [
"# Dataset Card for \"test_torch\"\n\nMore Information needed"
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f8024be1cf47d74a090b46b9b7c57caff075589f |
# Dataset Card for "Wikiomnia"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Dataset Creation](#dataset-creation)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-informa... | RussianNLP/wikiomnia | [
"task_categories:question-answering",
"size_categories:1M<n<10M",
"language:ru",
"license:apache-2.0",
"wikipedia",
"wikiomnia",
"squad",
"QA",
"arxiv:2204.08009",
"region:us"
] | 2022-12-16T16:03:40+00:00 | {"language": ["ru"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["question-answering"], "pretty_name": "WikiOmnia", "dataset_info": [{"config_name": "wikiomnia_ruT5_raw", "features": [{"name": "title", "dtype": "string"}, {"name": "categories", "dtype": "string"}, {"name": "summary", "... | 2023-04-07T05:43:59+00:00 | [
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#task_categories-question-answering #size_categories-1M<n<10M #language-Russian #license-apache-2.0 #wikipedia #wikiomnia #squad #QA #arxiv-2204.08009 #region-us
|
# Dataset Card for "Wikiomnia"
## Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Structure
- Dataset Creation
- Additional Information
- Licensing Information
- Citation Information
- Contributions
## Dataset Description
- Repository: URL
- Paper: WikiOmnia: filtration and evaluation o... | [
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91c9ffe6599c9029b106dd781591ae5ccede72ef | https://images.unsplash.com/photo-1611915387288-fd8d2f5f928b?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxleHBsb3JlLWZlZWR8MXx8fGVufDB8fHx8&w=1000&q=80 , a cat lookng | Hisjhsshh/DatasetImageDescribe | [
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#region-us
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879e19a2c9bb7ef03f9cf962089cf7d008f91e27 |
## Dataset Description
- **Repository:** [openai/gpt2](https://github.com/openai/gpt-2)
- **Paper:** Radford et al. [Language Models are Unsupervised Multitask Learners](https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf)
### Dataset Summary
This dataset is comprised of the LAMBADA test ... | EleutherAI/lambada_openai | [
"task_ids:language-modeling",
"language_creators:machine-generated",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:lambada",
"language:de",
"language:en",
"language:es",
"language:fr",
"language:it",
"license:mit",
"region:us"
] | 2022-12-16T16:35:07+00:00 | {"language_creators": ["machine-generated"], "language": ["de", "en", "es", "fr", "it"], "license": "mit", "multilinguality": ["translation"], "size_categories": ["1K<n<10K"], "source_datasets": ["lambada"], "task_ids": ["language-modeling"], "pretty_name": "LAMBADA OpenAI", "dataset_info": [{"config_name": "default", ... | 2022-12-16T19:53:23+00:00 | [] | [
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| Dataset Description
-------------------
* Repository: openai/gpt2
* Paper: Radford et al. Language Models are Unsupervised Multitask Learners
### Dataset Summary
This dataset is comprised of the LAMBADA test split as pre-processed by OpenAI (see relevant discussions here and here). It also contains machine transl... | [
"### Dataset Summary\n\n\nThis dataset is comprised of the LAMBADA test split as pre-processed by OpenAI (see relevant discussions here and here). It also contains machine translated versions of the split in German, Spanish, French, and Italian.\n\n\nLAMBADA is used to evaluate the capabilities of computational mod... | [
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a8833d9ce9d08dcb1fdd1a4a926c94a05a6e7a84 | # Dataset Card for "australian_sea_slugs"
This is a filtered version of the [Nudibranchs of the Sunshine Coast Australia](https://www.gbif.org/dataset/ee412fa2-edc9-4c6b-91f3-ff2a02c245e0) dataset.
## Citation
```
Atlas of Living Australia (2019). Nudibranchs of the Sunshine Coast Australia. Occurrence dataset https:... | sasha/australian_sea_slugs | [
"region:us"
] | 2022-12-16T17:34:52+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 86677304.65602817, "num_examples": 2107}], "download_size": 87406259, "dataset_size": 86677304.65602817}} | 2022-12-16T17:37:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "australian_sea_slugs"
This is a filtered version of the Nudibranchs of the Sunshine Coast Australia dataset.
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50b606e9d78a38848b8452d72072678cbeaedd05 | This dataset contains information about the 9761 witches from the Crypto Coven NFT project (https://www.cryptocoven.xyz/) collected using OpenSea API.
The folder 'witch_images' includes the images of each witch in three different sizes.
I briefly describe the data in the `witches.csv` below:
- `id`: the id of the w... | harrywang/crypto-coven | [
"license:mit",
"region:us"
] | 2022-12-16T17:57:33+00:00 | {"license": "mit"} | 2022-12-16T18:00:36+00:00 | [] | [] | TAGS
#license-mit #region-us
| This dataset contains information about the 9761 witches from the Crypto Coven NFT project (URL collected using OpenSea API.
The folder 'witch_images' includes the images of each witch in three different sizes.
I briefly describe the data in the 'URL' below:
- 'id': the id of the witch
- 'num_sales': number of sale... | [] | [
"TAGS\n#license-mit #region-us \n"
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11
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75f72c304cfde536c03d1ecb0b63e564424338da | # Dataset Card for "full-hh-rlhf"
Anthropic's HH dataset reformatted into prompt, chosen, rejected samples. | Dahoas/full-hh-rlhf | [
"region:us"
] | 2022-12-16T20:45:27+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 203150123, "num_examples": 112052}, {"name": "test", "num_bytes": 22606646, "num_examp... | 2023-02-23T17:29:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "full-hh-rlhf"
Anthropic's HH dataset reformatted into prompt, chosen, rejected samples. | [
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49677eb53625813b5a9ce88938e1c7a40ce97c0d | # Dataset Card for "QuadraticEquations2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | snork-maiden/QuadraticEquations2 | [
"region:us"
] | 2022-12-17T07:14:36+00:00 | {"dataset_info": {"features": [{"name": "text", "sequence": "int64"}, {"name": "label", "dtype": "int64"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 3520000, "num_examples": 80000}, {"name": "test", "num_bytes": 880000, "num_examples": 20000}], "download_size": 1308051,... | 2022-12-17T07:35:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "QuadraticEquations2"
More Information needed | [
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6c125a5f38f2f1d45d9cfdf71834ecdcf2565fd2 | # Dataset Card for "salvadoran-news"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | justinian336/salvadoran-news | [
"region:us"
] | 2022-12-17T07:32:24+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "link", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 276670922, "num_examples": 102366}], "download_size": 159243312, "dataset_size": 276670922}} | 2023-03-21T05:38:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "salvadoran-news"
More Information needed | [
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fe0dd8b35b749f383c063d9bab4dc35fddbe1896 | # Dataset Card for "natural_questions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | maximedb/natural_questions | [
"region:us"
] | 2022-12-17T08:16:54+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10087609, "num_examples": 130233}, {"name": "validation", "num_bytes": 714323, "num_examples": 8643}], "download_size": 6827128, "dataset_size": 10801932}} | 2022-12-17T08:17:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "natural_questions"
More Information needed | [
"# Dataset Card for \"natural_questions\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"natural_questions\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"natural_questions\"\n\nMore Information needed"
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4b0deef671013a7379b62f0b3c18e718a079560e |
## Download
| Windows-CUDA11.6 | Windows-CUDA11.3 |
| ------------------------ | ------------------------ |
| [Download](./116env.zip) | [Download](./113env.zip) |
## Usage
```bash
./{folder name}/Scripts/Activate.ps1
```
| HuanLin/DiffSVC-WindowsENV | [
"license:gpl",
"region:us"
] | 2022-12-17T12:46:19+00:00 | {"license": "gpl"} | 2022-12-17T12:58:21+00:00 | [] | [] | TAGS
#license-gpl #region-us
| Download
--------
Usage
-----
| [] | [
"TAGS\n#license-gpl #region-us \n"
] | [
12
] | [
"passage: TAGS\n#license-gpl #region-us \n"
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d05e3a37229b15ffd95ef2f7c24356c85cc9575d |
tweets in english positive negative | ad321/test-tweets | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
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] | 2022-12-17T13:39:02+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "prett... | 2022-12-17T14:34:45+00:00 | [] | [
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|
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] |
b8b5d13bb5657c0b8b93a10ab987decac868214e |
# Doc2Query Generated Queries for `msmarco-passage`
This dataset provides the pre-computed generated queries for the [`msmarco-passage`](https://ir-datasets.com/msmarco-passage) dataset,
for use when indexing Doc2Query.
The generated queries from from the T5 Doc2Query model, released by the original authors [here](h... | macavaney/d2q-msmarco-passage | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:no-annotation",
"language_creators:machine-generated",
"source_datasets:msmarco-passage",
"document-expansion",
"doc2query",
"region:us"
] | 2022-12-17T14:53:07+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated"], "language": [], "license": [], "source_datasets": ["msmarco-passage"], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "pretty_name": "Doc2Query Generated Queries for `msmarco-passage`", "tags": ["document... | 2022-12-18T20:12:57+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-no-annotation #language_creators-machine-generated #source_datasets-msmarco-passage #document-expansion #doc2query #region-us
|
# Doc2Query Generated Queries for 'msmarco-passage'
This dataset provides the pre-computed generated queries for the 'msmarco-passage' dataset,
for use when indexing Doc2Query.
The generated queries from from the T5 Doc2Query model, released by the original authors here.
## Getting started
This artefact is meant t... | [
"# Doc2Query Generated Queries for 'msmarco-passage'\n\nThis dataset provides the pre-computed generated queries for the 'msmarco-passage' dataset,\nfor use when indexing Doc2Query.\n\nThe generated queries from from the T5 Doc2Query model, released by the original authors here.",
"## Getting started\n\nThis arte... | [
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32d6db2e304ddfb33cbb6e2243ad42caf4ab32ab |
# Dataset Card for PolQA Dataset
## Dataset Description
- **Paper:** [Improving Question Answering Performance through Manual Annotation: Costs, Benefits and Strategies](https://arxiv.org/abs/2212.08897)
- **Point of Contact:** [Piotr Rybak](mailto:piotr.cezary.rybak@gmail.com)
### Dataset Summary
PolQA is the fi... | ipipan/polqa | [
"task_categories:question-answering",
"task_categories:text-retrieval",
"task_categories:text2text-generation",
"task_ids:open-domain-qa",
"task_ids:document-retrieval",
"task_ids:abstractive-qa",
"annotations_creators:expert-generated",
"size_categories:10K<n<100K",
"language:pl",
"license:cc-by-... | 2022-12-17T15:03:58+00:00 | {"annotations_creators": ["expert-generated"], "language": ["pl"], "license": "cc-by-sa-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "text-retrieval", "text2text-generation"], "task_ids": ["open-domain-qa", "document-retrieval", "abstractive-qa"], "pretty_name": "PolQA"} | 2023-09-09T12:37:44+00:00 | [
"2212.08897"
] | [
"pl"
] | TAGS
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==============================
Dataset Description
-------------------
* Paper: Improving Question Answering Performance through Manual Annotation: Costs, Benefits and Strategies
* Point of Contact: Piotr Rybak
### Dataset Summary
PolQA is the first Polish dataset for open-domain ... | [
"### Dataset Summary\n\n\nPolQA is the first Polish dataset for open-domain question answering. It consists of 7,000 questions, 87,525 manually labeled evidence passages, and a corpus of over 7 million candidate passages. The dataset can be used to train both a passage retriever and an abstractive reader.",
"### ... | [
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c671fd20220e568e25b7b65c723daf9eddfdf677 |
# Doc2Query ELECTRA Relevance Scores for `msmarco-passage`
This dataset provides the pre-computed query relevance scores for the [`msmarco-passage`](https://ir-datasets.com/msmarco-passage) dataset,
for use with Doc2Query--.
The generated queries come from [`macavaney/d2q-msmarco-passage`](https://huggingface.co/dat... | macavaney/d2q-msmarco-passage-scores-electra | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:no-annotation",
"language_creators:machine-generated",
"source_datasets:msmarco-passage",
"document-expansion",
"doc2query--",
"region:us"
] | 2022-12-17T15:18:38+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated"], "language": [], "license": [], "source_datasets": ["msmarco-passage"], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "pretty_name": "Doc2Query ELECTRA Relevance Scores for `msmarco-passage`", "tags": ["d... | 2022-12-18T20:12:10+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-no-annotation #language_creators-machine-generated #source_datasets-msmarco-passage #document-expansion #doc2query-- #region-us
|
# Doc2Query ELECTRA Relevance Scores for 'msmarco-passage'
This dataset provides the pre-computed query relevance scores for the 'msmarco-passage' dataset,
for use with Doc2Query--.
The generated queries come from 'macavaney/d2q-msmarco-passage' and
were scored with 'crystina-z/monoELECTRA_LCE_nneg31'.
## Getting s... | [
"# Doc2Query ELECTRA Relevance Scores for 'msmarco-passage'\n\nThis dataset provides the pre-computed query relevance scores for the 'msmarco-passage' dataset,\nfor use with Doc2Query--.\n\nThe generated queries come from 'macavaney/d2q-msmarco-passage' and\nwere scored with 'crystina-z/monoELECTRA_LCE_nneg31'.",
... | [
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a257ab4fcfa09707711f7453885105230f634998 |
# Doc2Query monoT5 Relevance Scores for `msmarco-passage`
This dataset provides the pre-computed query relevance scores for the [`msmarco-passage`](https://ir-datasets.com/msmarco-passage) dataset,
for use with Doc2Query--.
The generated queries come from [`macavaney/d2q-msmarco-passage`](https://huggingface.co/data... | macavaney/d2q-msmarco-passage-scores-monot5 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:no-annotation",
"language_creators:machine-generated",
"source_datasets:msmarco-passage",
"document-expansion",
"doc2query--",
"region:us"
] | 2022-12-17T15:19:01+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated"], "language": [], "license": [], "source_datasets": ["msmarco-passage"], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "pretty_name": "Doc2Query monoT5 Relevance Scores for `msmarco-passage`", "tags": ["do... | 2022-12-18T20:13:58+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-no-annotation #language_creators-machine-generated #source_datasets-msmarco-passage #document-expansion #doc2query-- #region-us
|
# Doc2Query monoT5 Relevance Scores for 'msmarco-passage'
This dataset provides the pre-computed query relevance scores for the 'msmarco-passage' dataset,
for use with Doc2Query--.
The generated queries come from 'macavaney/d2q-msmarco-passage' and
were scored with 'castorini/monot5-base-msmarco'.
## Getting starte... | [
"# Doc2Query monoT5 Relevance Scores for 'msmarco-passage'\n\nThis dataset provides the pre-computed query relevance scores for the 'msmarco-passage' dataset,\nfor use with Doc2Query--.\n\nThe generated queries come from 'macavaney/d2q-msmarco-passage' and\nwere scored with 'castorini/monot5-base-msmarco'.",
"## ... | [
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9d19c8e11a1715ad1ec70122561bad5488eec68e |
# Doc2Query TCT Relevance Scores for `msmarco-passage`
This dataset provides the pre-computed query relevance scores for the [`msmarco-passage`](https://ir-datasets.com/msmarco-passage) dataset,
for use with Doc2Query--.
The generated queries come from [`macavaney/d2q-msmarco-passage`](https://huggingface.co/dataset... | macavaney/d2q-msmarco-passage-scores-tct | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:no-annotation",
"language_creators:machine-generated",
"source_datasets:msmarco-passage",
"document-expansion",
"doc2query--",
"region:us"
] | 2022-12-17T15:19:11+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated"], "language": [], "license": [], "source_datasets": ["msmarco-passage"], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "pretty_name": "Doc2Query TCT Relevance Scores for `msmarco-passage`", "tags": ["docum... | 2022-12-18T20:13:32+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-no-annotation #language_creators-machine-generated #source_datasets-msmarco-passage #document-expansion #doc2query-- #region-us
|
# Doc2Query TCT Relevance Scores for 'msmarco-passage'
This dataset provides the pre-computed query relevance scores for the 'msmarco-passage' dataset,
for use with Doc2Query--.
The generated queries come from 'macavaney/d2q-msmarco-passage' and
were scored with 'castorini/tct_colbert-v2-hnp-msmarco'.
## Getting st... | [
"# Doc2Query TCT Relevance Scores for 'msmarco-passage'\n\nThis dataset provides the pre-computed query relevance scores for the 'msmarco-passage' dataset,\nfor use with Doc2Query--.\n\nThe generated queries come from 'macavaney/d2q-msmarco-passage' and\nwere scored with 'castorini/tct_colbert-v2-hnp-msmarco'.",
... | [
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b7293a0e2ddb95e0eaa520029301a93d01bafd7f |
## Table of Contents
- [Dataset Description](#dataset-description)
-
# Utilising Weak Supervision to Create S3D: A Sarcasm Annotated Dataset
This is the repository for the S3D dataset published at EMNLP 2022. The dataset can help build sarcasm detection models.
# S3D-v2 Summary
The S3D-v2 dataset is our silver stan... | surrey-nlp/S3D-v2 | [
"task_categories:text-classification",
"annotations_creators:Jordan Painter, Diptesh Kanojia",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2022-12-17T18:00:12+00:00 | {"annotations_creators": ["Jordan Painter, Diptesh Kanojia"], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "pretty_name": "Utilising Weak Supervision to create S3D: A Sa... | 2022-12-17T18:17:27+00:00 | [] | [
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] | TAGS
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|
## Table of Contents
- Dataset Description
-
# Utilising Weak Supervision to Create S3D: A Sarcasm Annotated Dataset
This is the repository for the S3D dataset published at EMNLP 2022. The dataset can help build sarcasm detection models.
# S3D-v2 Summary
The S3D-v2 dataset is our silver standard dataset of 100,000 ... | [
"## Table of Contents\n- Dataset Description\n\n-",
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37beb97b7900281cd67ac189d4fb91c589b25582 | # Dataset Card for Birdsnap Dataset v 1.1.
Welcome to the Birdsnap dataset, consisting of 49,829 images of 500 species of North American birds, collected from Flickr, and corresponding species, bounding box, and part labels.
The dataset distribution also consists of the following files:
1. species.txt
This file lis... | sasha/birdsnap | [
"region:us"
] | 2022-12-17T20:35:55+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 63184668691.7, "num_examples": 39860}], "download_size": 69093722465, "dataset_size": 63184668691.7}} | 2022-12-17T21:29:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for Birdsnap Dataset v 1.1.
Welcome to the Birdsnap dataset, consisting of 49,829 images of 500 species of North American birds, collected from Flickr, and corresponding species, bounding box, and part labels.
The dataset distribution also consists of the following files:
1. URL
This file lists the s... | [
"# Dataset Card for Birdsnap Dataset v 1.1.\n\nWelcome to the Birdsnap dataset, consisting of 49,829 images of 500 species of North American birds, collected from Flickr, and corresponding species, bounding box, and part labels.\n\n\nThe dataset distribution also consists of the following files:\n\n1. URL\nThis fil... | [
"TAGS\n#region-us \n",
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883fc9343999ef5f3d5b1f23a1ef78f517106433 | # Dataset Card for "unet-lsun-256"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Dahoas/unet-lsun-256 | [
"region:us"
] | 2022-12-17T21:18:33+00:00 | {"dataset_info": {"features": [{"name": "images", "sequence": {"sequence": {"sequence": "float32"}}}], "splits": [{"name": "train", "num_bytes": 39513896960, "num_examples": 50048}], "download_size": 39351524715, "dataset_size": 39513896960}} | 2022-12-19T16:02:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "unet-lsun-256"
More Information needed | [
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a29a9757125f4bb1c26445ad0d2ef7d9b2cc9c4c | Preprocessed version of Super-Natural-Instructions from https://github.com/allenai/natural-instructions/tree/master/splits. The same inputs may appear with different outputs, thus to avoid duplicate inputs, you can deduplicate by the `id` or the `inputs` field.
Train Tasks:
```
['task001_quoref_question_generation', '... | Muennighoff/natural-instructions | [
"task_categories:other",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100M<n<1B",
"language:en",
"region:us"
] | 2022-12-17T21:45:01+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "multilinguality": ["monolingual"], "size_categories": ["100M<n<1B"], "task_categories": ["other"]} | 2022-12-23T20:08:44+00:00 | [] | [
"en"
] | TAGS
#task_categories-other #annotations_creators-crowdsourced #annotations_creators-expert-generated #multilinguality-monolingual #size_categories-100M<n<1B #language-English #region-us
| Preprocessed version of Super-Natural-Instructions from URL The same inputs may appear with different outputs, thus to avoid duplicate inputs, you can deduplicate by the 'id' or the 'inputs' field.
Train Tasks:
Validation Tasks:
Test Tasks:
| [] | [
"TAGS\n#task_categories-other #annotations_creators-crowdsourced #annotations_creators-expert-generated #multilinguality-monolingual #size_categories-100M<n<1B #language-English #region-us \n"
] | [
64
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"passage: TAGS\n#task_categories-other #annotations_creators-crowdsourced #annotations_creators-expert-generated #multilinguality-monolingual #size_categories-100M<n<1B #language-English #region-us \n"
] |
af494fe1b62762178d37c0b71b4a7160f0534f1a |
# Dataset Card for "squad_v2_dutch"
## Dataset Description
- **Homepage:** [https://rajpurkar.github.io/SQuAD-explorer/](https://rajpurkar.github.io/SQuAD-explorer/)
## Dataset Summary
The squad_v2_dutch dataset is a machine-translated version of the SQuAD v2 dataset from English to Dutch.
The SQuAD v2 dataset com... | yhavinga/squad_v2_dutch | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"task_ids:extractive-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:nl",
"license:cc-by-sa-4.0",
"arxiv:... | 2022-12-17T22:50:45+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["nl"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["open-domain-qa", "extractive-... | 2023-01-21T13:53:27+00:00 | [
"1606.05250"
] | [
"nl"
] | TAGS
#task_categories-question-answering #task_ids-open-domain-qa #task_ids-extractive-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Dutch #license-cc-by-sa-4.0 #arxiv-1606.05250 #region-us
|
# Dataset Card for "squad_v2_dutch"
## Dataset Description
- Homepage: URL
## Dataset Summary
The squad_v2_dutch dataset is a machine-translated version of the SQuAD v2 dataset from English to Dutch.
The SQuAD v2 dataset combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adv... | [
"# Dataset Card for \"squad_v2_dutch\"",
"## Dataset Description\n\n- Homepage: URL",
"## Dataset Summary\n\nThe squad_v2_dutch dataset is a machine-translated version of the SQuAD v2 dataset from English to Dutch.\nThe SQuAD v2 dataset combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable qu... | [
"TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #task_ids-extractive-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Dutch #license-cc-by-sa-4.0 #arxiv-1606.05250 #region-us \n",
"... | [
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"passage: TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #task_ids-extractive-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Dutch #license-cc-by-sa-4.0 #arxiv-1606.05250 #region-us... |
c47ace8e29d2712c22ddb223653b377f4175b2da | # Quick!Draw! 1pct Sample (per-row bin format)
This is a sample 1-percent of the entire 50M-row [QuickDraw! dataset](https://github.com/googlecreativelab/quickdraw-dataset). The row for each drawing contains a byte-encoded packed representation of the drawing and data, which you can unpack using the following snippet... | kmewhort/quickdraw-bins-1pct-sample | [
"region:us"
] | 2022-12-18T02:37:21+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "The Eiffel Tower", "1": "The Great Wall of China", "2": "The Mona Lisa", "3": "aircraft carrier", "4": "airplane", "5": "alarm clock", "6": "ambulance", "7": "angel", "8": "animal migration", "9": "ant", "10": "anvil", "11": "app... | 2022-12-19T15:09:12+00:00 | [] | [] | TAGS
#region-us
| # Quick!Draw! 1pct Sample (per-row bin format)
This is a sample 1-percent of the entire 50M-row QuickDraw! dataset. The row for each drawing contains a byte-encoded packed representation of the drawing and data, which you can unpack using the following snippet:
The 'image' in the above is still in line vector form... | [
"# Quick!Draw! 1pct Sample (per-row bin format)\n\nThis is a sample 1-percent of the entire 50M-row QuickDraw! dataset. The row for each drawing contains a byte-encoded packed representation of the drawing and data, which you can unpack using the following snippet:\n\n\n\nThe 'image' in the above is still in line ... | [
"TAGS\n#region-us \n",
"# Quick!Draw! 1pct Sample (per-row bin format)\n\nThis is a sample 1-percent of the entire 50M-row QuickDraw! dataset. The row for each drawing contains a byte-encoded packed representation of the drawing and data, which you can unpack using the following snippet:\n\n\n\nThe 'image' in th... | [
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"passage: TAGS\n#region-us \n# Quick!Draw! 1pct Sample (per-row bin format)\n\nThis is a sample 1-percent of the entire 50M-row QuickDraw! dataset. The row for each drawing contains a byte-encoded packed representation of the drawing and data, which you can unpack using the following snippet:\n\n\n\nThe 'image' in... |
e63637e4ae28e74c8a2d4da90809764ce104428d | # AutoTrain Dataset for project: honor
## Dataset Description
This dataset has been automatically processed by AutoTrain for project honor.
### 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
[
{
"text... | freddiezhang/honordata | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-12-18T05:56:24+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-12-19T04:48:12+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: honor
====================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project honor.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
-----------------
### Data Instanc... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
"TAGS\n#task_categories-text-classification #language-English #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the f... | [
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"passage: TAGS\n#task_categories-text-classification #language-English #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following ... |
49d1f5cd8716bd0780f61bd12caacb48242cd06d |
# Dataset Card for "lmqg/qag_dequad"
## 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/qag_dequad | [
"task_categories:text-generation",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:1k<n<10K",
"source_datasets:lmqg/qg_dequad",
"language:de",
"license:cc-by-sa-4.0",
"question-generation",
"arxiv:2210.03992",
"region:us"
] | 2022-12-18T07:04:59+00:00 | {"language": "de", "license": "cc-by-sa-4.0", "multilinguality": "monolingual", "size_categories": "1k<n<10K", "source_datasets": "lmqg/qg_dequad", "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "SQuAD for question generation", "tags": ["question-generation"]} | 2022-12-18T08:14:09+00:00 | [
"2210.03992"
] | [
"de"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_dequad #language-German #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us
| Dataset Card for "lmqg/qag\_dequad"
===================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is the question & answer generation dataset based on the DEQuAD.
### Supported Tasks and Leaderboards
* 'que... | [
"### Dataset Summary\n\n\nThis is the question & answer generation dataset based on the DEQuAD.",
"### Supported Tasks and Leaderboards\n\n\n* 'question-answer-generation': The dataset is assumed to be used to train a model for question & answer generation.\nSuccess on this task is typically measured by achieving... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_dequad #language-German #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us \n",
"### Dataset Summary\n\n\nThis is the question & answer generatio... | [
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"passage: TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_dequad #language-German #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us \n### Dataset Summary\n\n\nThis is the question & answer genera... |
cc90041343272411122d092d816a2eabb9f8d9d1 |
# Dataset Card for "lmqg/qag_koquad"
## 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/qag_koquad | [
"task_categories:text-generation",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:1k<n<10K",
"source_datasets:lmqg/qg_koquad",
"language:ko",
"license:cc-by-sa-4.0",
"question-generation",
"arxiv:2210.03992",
"region:us"
] | 2022-12-18T07:05:17+00:00 | {"language": "ko", "license": "cc-by-sa-4.0", "multilinguality": "monolingual", "size_categories": "1k<n<10K", "source_datasets": "lmqg/qg_koquad", "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "SQuAD for question generation", "tags": ["question-generation"]} | 2022-12-18T08:03:53+00:00 | [
"2210.03992"
] | [
"ko"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_koquad #language-Korean #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us
| Dataset Card for "lmqg/qag\_koquad"
===================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is the question & answer generation dataset based on the KOQuAD.
### Supported Tasks and Leaderboards
* 'que... | [
"### Dataset Summary\n\n\nThis is the question & answer generation dataset based on the KOQuAD.",
"### Supported Tasks and Leaderboards\n\n\n* 'question-answer-generation': The dataset is assumed to be used to train a model for question & answer generation.\nSuccess on this task is typically measured by achieving... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_koquad #language-Korean #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us \n",
"### Dataset Summary\n\n\nThis is the question & answer generatio... | [
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"passage: TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_koquad #language-Korean #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us \n### Dataset Summary\n\n\nThis is the question & answer genera... |
eb342671ce8e5abdbb856c2c06520ff7c3af50fa |
# Dataset Card for "lmqg/qag_jaquad"
## 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/qag_jaquad | [
"task_categories:text-generation",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:1k<n<10K",
"source_datasets:lmqg/qg_jaquad",
"language:ja",
"license:cc-by-sa-4.0",
"question-generation",
"arxiv:2210.03992",
"region:us"
] | 2022-12-18T07:05:33+00:00 | {"language": "ja", "license": "cc-by-sa-4.0", "multilinguality": "monolingual", "size_categories": "1k<n<10K", "source_datasets": "lmqg/qg_jaquad", "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "SQuAD for question generation", "tags": ["question-generation"]} | 2022-12-18T07:54:08+00:00 | [
"2210.03992"
] | [
"ja"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_jaquad #language-Japanese #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us
| Dataset Card for "lmqg/qag\_jaquad"
===================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is the question & answer generation dataset based on the JAQuAD.
### Supported Tasks and Leaderboards
* 'que... | [
"### Dataset Summary\n\n\nThis is the question & answer generation dataset based on the JAQuAD.",
"### Supported Tasks and Leaderboards\n\n\n* 'question-answer-generation': The dataset is assumed to be used to train a model for question & answer generation.\nSuccess on this task is typically measured by achieving... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_jaquad #language-Japanese #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us \n",
"### Dataset Summary\n\n\nThis is the question & answer generat... | [
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694439c98de5edcc2bc45eac0dda37b79ed2328e |
# Dataset Card for "lmqg/qag_ruquad"
## 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/qag_ruquad | [
"task_categories:text-generation",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:1k<n<10K",
"source_datasets:lmqg/qg_ruquad",
"language:ru",
"license:cc-by-sa-4.0",
"question-generation",
"arxiv:2210.03992",
"region:us"
] | 2022-12-18T07:05:48+00:00 | {"language": "ru", "license": "cc-by-sa-4.0", "multilinguality": "monolingual", "size_categories": "1k<n<10K", "source_datasets": "lmqg/qg_ruquad", "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "SQuAD for question generation", "tags": ["question-generation"]} | 2022-12-18T07:59:33+00:00 | [
"2210.03992"
] | [
"ru"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_ruquad #language-Russian #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us
| Dataset Card for "lmqg/qag\_ruquad"
===================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is the question & answer generation dataset based on the RUQuAD.
### Supported Tasks and Leaderboards
* 'que... | [
"### Dataset Summary\n\n\nThis is the question & answer generation dataset based on the RUQuAD.",
"### Supported Tasks and Leaderboards\n\n\n* 'question-answer-generation': The dataset is assumed to be used to train a model for question & answer generation.\nSuccess on this task is typically measured by achieving... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_ruquad #language-Russian #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us \n",
"### Dataset Summary\n\n\nThis is the question & answer generati... | [
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"passage: TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_ruquad #language-Russian #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us \n### Dataset Summary\n\n\nThis is the question & answer gener... |
7d46cefe86891484d70e0bf81d81a4a0d945d350 |
# Dataset Card for "lmqg/qag_esquad"
## 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/qag_esquad | [
"task_categories:text-generation",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:1k<n<10K",
"source_datasets:lmqg/qg_esquad",
"language:es",
"license:cc-by-sa-4.0",
"question-generation",
"arxiv:2210.03992",
"region:us"
] | 2022-12-18T07:06:04+00:00 | {"language": "es", "license": "cc-by-sa-4.0", "multilinguality": "monolingual", "size_categories": "1k<n<10K", "source_datasets": "lmqg/qg_esquad", "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "SQuAD for question generation", "tags": ["question-generation"]} | 2022-12-18T08:01:13+00:00 | [
"2210.03992"
] | [
"es"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_esquad #language-Spanish #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us
| Dataset Card for "lmqg/qag\_esquad"
===================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is the question & answer generation dataset based on the ESQuAD.
### Supported Tasks and Leaderboards
* 'que... | [
"### Dataset Summary\n\n\nThis is the question & answer generation dataset based on the ESQuAD.",
"### Supported Tasks and Leaderboards\n\n\n* 'question-answer-generation': The dataset is assumed to be used to train a model for question & answer generation.\nSuccess on this task is typically measured by achieving... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_esquad #language-Spanish #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us \n",
"### Dataset Summary\n\n\nThis is the question & answer generati... | [
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"passage: TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_esquad #language-Spanish #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us \n### Dataset Summary\n\n\nThis is the question & answer gener... |
0460b6ccd0fcc44d904e71fd44a5d5cb43ab71e7 |
# Dataset Card for "lmqg/qag_itquad"
## 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/qag_itquad | [
"task_categories:text-generation",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:1k<n<10K",
"source_datasets:lmqg/qg_itquad",
"language:it",
"license:cc-by-sa-4.0",
"question-generation",
"arxiv:2210.03992",
"region:us"
] | 2022-12-18T08:05:18+00:00 | {"language": "it", "license": "cc-by-sa-4.0", "multilinguality": "monolingual", "size_categories": "1k<n<10K", "source_datasets": "lmqg/qg_itquad", "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "SQuAD for question generation", "tags": ["question-generation"]} | 2022-12-18T08:21:31+00:00 | [
"2210.03992"
] | [
"it"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_itquad #language-Italian #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us
| Dataset Card for "lmqg/qag\_itquad"
===================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is the question & answer generation dataset based on the ITQuAD.
### Supported Tasks and Leaderboards
* 'que... | [
"### Dataset Summary\n\n\nThis is the question & answer generation dataset based on the ITQuAD.",
"### Supported Tasks and Leaderboards\n\n\n* 'question-answer-generation': The dataset is assumed to be used to train a model for question & answer generation.\nSuccess on this task is typically measured by achieving... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-1k<n<10K #source_datasets-lmqg/qg_itquad #language-Italian #license-cc-by-sa-4.0 #question-generation #arxiv-2210.03992 #region-us \n",
"### Dataset Summary\n\n\nThis is the question & answer generati... | [
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51fd75a81f7b31a9fed289ec82c6352980854d50 | # Dataset Card for "twentyquestions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | maximedb/twentyquestions | [
"region:us"
] | 2022-12-18T09:01:42+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "answer", "dtype": "bool"}], "splits": [{"name": "train", "num_bytes": 1658790, "num_examples": 46566}, {"name": "validation", "num_bytes": 548147, "num_examples": 15403}, {"name": "test", "num_bytes... | 2022-12-18T09:02:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "twentyquestions"
More Information needed | [
"# Dataset Card for \"twentyquestions\"\n\nMore Information needed"
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09d86f82f054236847bb2e15cf254195e6845ffc | *Tập dữ liệu này do bởi Shayo Chủ sở hữu thực hiện*
Sử dụng tập dữ liệu này cho tất cả bot | Shaxo/Shayo_Application | [
"license:apache-2.0",
"region:us"
] | 2022-12-18T09:47:00+00:00 | {"license": "apache-2.0"} | 2022-12-18T12:12:29+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| *Tập dữ liệu này do bởi Shayo Chủ sở hữu thực hiện*
Sử dụng tập dữ liệu này cho tất cả bot | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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019e9040608fffc3168983d87dffcbd831db427f | This is an attempt! | Gprime1977/AnimeGirlz | [
"region:us"
] | 2022-12-18T11:52:23+00:00 | {} | 2022-12-18T12:43:17+00:00 | [] | [] | TAGS
#region-us
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26a81ce6c3b7308296dd17406f76a463730ed9af | # Dataset Card for "salvadoran-news-ner"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | justinian336/salvadoran-news-ner | [
"region:us"
] | 2022-12-18T12:11:41+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 73983057.36422747, "num_examples": 56025}], "download_size": 43634286, "dataset_size": 73983057.36422747}} | 2022-12-18T12:11:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "salvadoran-news-ner"
More Information needed | [
"# Dataset Card for \"salvadoran-news-ner\"\n\nMore Information needed"
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ae67baea224991acef61f34fd7a9a958d0e90cc7 | # Dataset Card for "vintage-blip-captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Norod78/vintage-blip-captions | [
"region:us"
] | 2022-12-18T14:52:31+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 593662581.43, "num_examples": 1370}], "download_size": 593666132, "dataset_size": 593662581.43}} | 2022-12-20T16:41:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vintage-blip-captions"
More Information needed | [
"# Dataset Card for \"vintage-blip-captions\"\n\nMore Information needed"
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1041b4472ece1b0bda924f90ffeea15ab690fc30 | # 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: srcocotero/bert-qa-en
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jo... | autoevaluate/autoeval-eval-squad-plain_text-0a0542-2518877374 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-18T17:35:11+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "srcocotero/bert-qa-en", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "context", "quest... | 2022-12-18T17:38:00+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: srcocotero/bert-qa-en
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic m... | [
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f30e1bd2f0a51535b493de36d3686cfcfff47abe | # Dataset Card for WebGPT Comparisons
## Dataset Description
In the [WebGPT paper](https://arxiv.org/abs/2112.09332), the authors trained a reward model from human feedback.
They used the reward model to train a long form question answering model to align with human preferences.
This is the dataset of all comparisons... | openai/webgpt_comparisons | [
"arxiv:2112.09332",
"region:us"
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#arxiv-2112.09332 #region-us
| # Dataset Card for WebGPT Comparisons
## Dataset Description
In the WebGPT paper, the authors trained a reward model from human feedback.
They used the reward model to train a long form question answering model to align with human preferences.
This is the dataset of all comparisons that were marked as suitable for re... | [
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dd2ede6faaea338ef6b1e2966f06808656975a23 |
# Dataset Card for CSFD movie reviews (Czech)
## Dataset Description
The dataset contains user reviews from Czech/Slovak movie databse website <https://csfd.cz>.
Each review contains text, rating, date, and basic information about the movie (or TV series).
The dataset has in total (train+validation+test) 30,000 r... | fewshot-goes-multilingual/cs_csfd-movie-reviews | [
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"rat... | 2022-12-18T20:05:15+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["cs"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"],... | 2022-12-18T21:30:56+00:00 | [] | [
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|
# Dataset Card for CSFD movie reviews (Czech)
## Dataset Description
The dataset contains user reviews from Czech/Slovak movie databse website <URL>.
Each review contains text, rating, date, and basic information about the movie (or TV series).
The dataset has in total (train+validation+test) 30,000 reviews. The ... | [
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23a20c659d868740ef9c54854de631fe19cd5c17 |
# Dataset Card for CSFD movie reviews (Slovak)
## Dataset Description
The dataset contains user reviews from Czech/Slovak movie databse website <https://csfd.cz>.
Each review contains text, rating, date, and basic information about the movie (or TV series).
The dataset has in total (train+validation+test) 30,000 ... | fewshot-goes-multilingual/sk_csfd-movie-reviews | [
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|
# Dataset Card for CSFD movie reviews (Slovak)
## Dataset Description
The dataset contains user reviews from Czech/Slovak movie databse website <URL>.
Each review contains text, rating, date, and basic information about the movie (or TV series).
The dataset has in total (train+validation+test) 30,000 reviews. The... | [
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c963bed0544cf090214329c4b2e9fc0c84168115 | # Dataset Card for "twitter"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hayleyg/twitter | [
"region:us"
] | 2022-12-18T21:33:52+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 332000, "num_examples": 2000}, {"name": "test", "num_bytes": 83000, "num_examples": 500}], "download_size": 128444, "... | 2022-12-18T21:34:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "twitter"
More Information needed | [
"# Dataset Card for \"twitter\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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e490d6a7e54b88291411f00565533043ea3150ca | # Dataset Card for "mbti-cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | echodpp/mbti-cleaned | [
"region:us"
] | 2022-12-18T22:31:08+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 51651122, "num_examples": 327828}, {"name": "test", "num_bytes": 12922409, "num_examples": 81957}], "download_size": 42684526, "dataset_size": 64573531}} | 2022-12-18T22:31:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mbti-cleaned"
More Information needed | [
"# Dataset Card for \"mbti-cleaned\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mbti-cleaned\"\n\nMore Information needed"
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7e1fccd916c1a6cff958a94f1f8c3c49226210f2 | # Dataset Card for "yelp"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hayleyg/yelp | [
"region:us"
] | 2022-12-18T22:33:39+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 332000, "num_examples": 2000}, {"name": "test", "num_bytes": 83000, "num_examples": 500}], "download_size": 174280, "... | 2022-12-18T22:34:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "yelp"
More Information needed | [
"# Dataset Card for \"yelp\"\n\nMore Information needed"
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59c8ab191f9f7140d0e7dad526d4bf9c3ce55e76 | # Dataset Card for "learning-segformer-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nickponline/learning-segformer-dataset | [
"region:us"
] | 2022-12-19T00:19:48+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 402128.0, "num_examples": 100}], "download_size": 326407, "dataset_size": 402128.0}} | 2022-12-19T00:20:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "learning-segformer-dataset"
More Information needed | [
"# Dataset Card for \"learning-segformer-dataset\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"learning-segformer-dataset\"\n\nMore Information needed"
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dc2ec07406a7c223385f323044a5dc2ad6d0c6b1 | # Quick!Draw! Dataset (per-row bin format)
This is the full 50M-row dataset from [QuickDraw! dataset](https://github.com/googlecreativelab/quickdraw-dataset). The row for each drawing contains a byte-encoded packed representation of the drawing and data, which you can unpack using the following snippet:
```
def unpa... | kmewhort/quickdraw-bins-50M | [
"region:us"
] | 2022-12-19T03:43:02+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "The Eiffel Tower", "1": "The Great Wall of China", "2": "The Mona Lisa", "3": "aircraft carrier", "4": "airplane", "5": "alarm clock", "6": "ambulance", "7": "angel", "8": "animal migration", "9": "ant", "10": "anvil", "11": "app... | 2022-12-19T18:12:46+00:00 | [] | [] | TAGS
#region-us
| # Quick!Draw! Dataset (per-row bin format)
This is the full 50M-row dataset from QuickDraw! dataset. The row for each drawing contains a byte-encoded packed representation of the drawing and data, which you can unpack using the following snippet:
The 'image' in the above is still in line vector format. To convert... | [
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9415be17ea63d0b4dc471f8557a0817f3d7cfa9a |
В качестве фактов использовались предложения из Википедии, а в качестве негативных - худлит и новости
Модель обученная на этом датасете [Den4ikAI/ruBert_base_fact_detection](https://huggingface.co/Den4ikAI/ruBert_base_fact_detection)
delimiter='|' | Den4ikAI/fact_detection | [
"language:ru",
"license:mit",
"region:us"
] | 2022-12-19T03:44:27+00:00 | {"language": ["ru"], "license": "mit"} | 2022-12-19T04:02:52+00:00 | [] | [
"ru"
] | TAGS
#language-Russian #license-mit #region-us
|
В качестве фактов использовались предложения из Википедии, а в качестве негативных - худлит и новости
Модель обученная на этом датасете Den4ikAI/ruBert_base_fact_detection
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b614668eb410f35b3acda675116bbe6ae6ccff54 | # Dataset Card for "python_vul_cvefix_small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EddieChen372/python_vul_cvefix_small | [
"region:us"
] | 2022-12-19T05:08:10+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "CWE-22", "1": "CWE-79", "2": "CWE-601"}}}}, {"name": "code_before", "dtype": "string"}, {"name": "code_after", "dtype": "string"}, {"name": "label_text", "dtype": "string"}, {"name": "deleted", "struct": [{"name": "code", "sequen... | 2022-12-19T05:08:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "python_vul_cvefix_small"
More Information needed | [
"# Dataset Card for \"python_vul_cvefix_small\"\n\nMore Information needed"
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f8bd83e996e4392dbc0d5f643040e3128f0f9607 | stable diffusion
Azuki
| wheart/aiazuki | [
"license:openrail",
"region:us"
] | 2022-12-19T07:44:46+00:00 | {"license": "openrail"} | 2022-12-19T07:59:47+00:00 | [] | [] | TAGS
#license-openrail #region-us
| stable diffusion
Azuki
| [] | [
"TAGS\n#license-openrail #region-us \n"
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"passage: TAGS\n#license-openrail #region-us \n"
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ccbdbc3ff8ac98aa73be4581bc3d23f5345f3092 | # Dataset Card for "corgi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lewtun/corgi | [
"region:us"
] | 2022-12-19T08:44:51+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 5590698.0, "num_examples": 5}], "download_size": 5591635, "dataset_size": 5590698.0}} | 2022-12-19T08:45:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "corgi"
More Information needed | [
"# Dataset Card for \"corgi\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"corgi\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"corgi\"\n\nMore Information needed"
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0a94cf73e560e3376e14aaefba1e7ad16e6c4e94 |
# Dataset Card for The Stack Metadata
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Changelog](#changelog)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Dataset Structure](#datase... | bigcode/the-stack-metadata | [
"task_categories:text-generation",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:unknown",
"language:code",
"license:other",
"arxiv:2211.15533",
"region:us"
] | 2022-12-19T09:17:28+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced", "expert-generated"], "language": ["code"], "license": ["other"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": [], "pretty_name": "The-Stack-Metadata", "ex... | 2023-03-16T13:58:24+00:00 | [
"2211.15533"
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#task_categories-text-generation #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categories-unknown #language-code #license-other #arxiv-2211.15533 #region-us
| Dataset Card for The Stack Metadata
===================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Changelog
+ Dataset Summary
+ Supported Tasks and Leaderboards
* Dataset Structure
+ Data Fields
+ Usage Example
* Dataset Creation
* Considerations for Using ... | [
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08f6acc1dad21b10087cc654d5ac9ef19ed34ecc | # Dataset Card for "news_classification"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | phd411r1/news_classification | [
"region:us"
] | 2022-12-19T12:27:30+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 850939, "num_examples": 7997}, {"name": "test", "num_bytes": 178204, "num_examples": 1669}], "download_size": 551232, "dataset_size": 1029143}} | 2022-12-19T12:27:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "news_classification"
More Information needed | [
"# Dataset Card for \"news_classification\"\n\nMore Information needed"
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e773ddeb1edfeb8e4f04afc63e10473fd33a0542 | # Dataset Card for "xrays"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lewtun/xrays | [
"region:us"
] | 2022-12-19T13:03:53+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1483315.0, "num_examples": 15}], "download_size": 1483649, "dataset_size": 1483315.0}} | 2022-12-19T13:04:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "xrays"
More Information needed | [
"# Dataset Card for \"xrays\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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7523293e36fa4f11d4fdb40f7ca1e6d9dbf44ef2 | # Dataset Card for "galaxies"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lewtun/galaxies | [
"region:us"
] | 2022-12-19T13:12:44+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 193327.0, "num_examples": 15}], "download_size": 193973, "dataset_size": 193327.0}} | 2022-12-19T13:12:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "galaxies"
More Information needed | [
"# Dataset Card for \"galaxies\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"galaxies\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"galaxies\"\n\nMore Information needed"
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56c0215d08fb430e30f8425ffc80ec0ad1682e0f |
# Dataset Card for "Hansel"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Splits](#data-splits)
- [Citation](#citation)
## Dataset Description
- **Homepage:** ht... | HIT-TMG/Hansel | [
"task_categories:text-retrieval",
"task_ids:entity-linking-retrieval",
"annotations_creators:crowdsourced",
"annotations_creators:found",
"language_creators:found",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
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"source_data... | 2022-12-19T13:28:24+00:00 | {"annotations_creators": ["crowdsourced", "found"], "language_creators": ["found", "crowdsourced"], "language": ["zh"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M", "1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-retrieval"], "task_ids": ["enti... | 2023-03-13T11:52:56+00:00 | [
"2207.13005"
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=========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
* Dataset Structure
+ Data Instances
+ Data Splits
* Citation
Dataset Description
-------------------
* Homepage: URL
* Paper: URL
Hansel is a high-quality human-annotated Chines... | [
"### Data Instances\n\n\n\n```\n{\"id\": \"hansel-eval-zs-1463\", \n \"text\": \"1905电影网讯 已经筹备了十余年的吉尔莫·德尔·托罗的《匹诺曹》，在上个月顺利被网飞公司买下，成为了流媒体巨头旗下的新片。近日，这部备受关注的影片确定了自己的档期：2021年。虽然具体时间未定，但影片却已经实实在在地向前迈出了一步。\", \n \"start\": 29, \n \"end\": 32, \n \"mention\": \"匹诺曹\", \n \"gold_id\": \"Q73895818\", \n \"source\": \"URL \n ... | [
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15420106f9ebc5a7596d0f5b95f3bfbc5db18219 | ---
pipeline_tag: text-generation
tags:
- code
model-index:
- name: VeriGen
results:
- task:
type: text-generation
dataset:
type:
name:
extra_gated_prompt: >-
## Model License Agreement
Please read the BigCode [OpenRAIL-M
license](https://huggingface.co/spaces/bigcode/bigcode-mod... | shailja/Verilog_GitHub | [
"license:mit",
"arxiv:2212.11140",
"region:us"
] | 2022-12-19T15:19:55+00:00 | {"license": "mit"} | 2023-09-20T16:14:18+00:00 | [
"2212.11140"
] | [] | TAGS
#license-mit #arxiv-2212.11140 #region-us
| ---
pipeline_tag: text-generation
tags:
- code
model-index:
- name: VeriGen
results:
- task:
type: text-generation
dataset:
type:
name:
extra_gated_prompt: >-
## Model License Agreement
Please read the BigCode OpenRAIL-M
license
agreement before accepting it.
extra_gated_f... | [
"## Model License Agreement\n\n Please read the BigCode OpenRAIL-M\n license\n agreement before accepting it.\n \nextra_gated_fields:\n I accept the above license agreement, and will use the Model complying with the set of use restrictions and sharing requirements: checkbox\n---",
"# VeriGen",
"## Table... | [
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1b7a925e3c7cb0ed9d0dd32b08f269f9585040a0 | # Dataset Card for "ps_news_2020_100K-sentences_processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ihanif/ps_news_2020_100K-sentences_processed | [
"size_categories:10K<n<100K",
"language:ps",
"region:us"
] | 2022-12-19T15:32:22+00:00 | {"language": ["ps"], "size_categories": ["10K<n<100K"], "pretty_name": "Pashto News 100K Sentences Cleaned", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20452491, "num_examples": 100000}], "download_size": 10143557, "dataset_size": 20452491}} | 2023-06-16T19:53:34+00:00 | [] | [
"ps"
] | TAGS
#size_categories-10K<n<100K #language-Pushto #region-us
| # Dataset Card for "ps_news_2020_100K-sentences_processed"
More Information needed | [
"# Dataset Card for \"ps_news_2020_100K-sentences_processed\"\n\nMore Information needed"
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f1165fe5fee96f2540196dc7e9ab50053de56e91 | # Dataset Card for "hamburgers"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lewtun/hamburgers | [
"region:us"
] | 2022-12-19T15:53:09+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 22977927.0, "num_examples": 10}], "download_size": 22973038, "dataset_size": 22977927.0}} | 2022-12-19T15:53:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hamburgers"
More Information needed | [
"# Dataset Card for \"hamburgers\"\n\nMore Information needed"
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0d7a5476f7420b21dc9f4807fdf766c821ad9cb1 | # Dataset Card for "alps"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lewtun/alps | [
"region:us"
] | 2022-12-19T17:30:05+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 27913166.0, "num_examples": 10}], "download_size": 27914963, "dataset_size": 27913166.0}} | 2022-12-19T17:30:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "alps"
More Information needed | [
"# Dataset Card for \"alps\"\n\nMore Information needed"
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09688bd198af1dea3646f3df4a7c75907ae8a15f | # Dataset Card for "turkishReviews-ds-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ozz/turkishReviews-ds-mini | [
"region:us"
] | 2022-12-19T18:31:32+00:00 | {"dataset_info": {"features": [{"name": "review", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 134598991.2416305, "num_examples": 362520}, {"name": "validation", "num_bytes": 14955814.758369517, "num_examples": 40281}], "download_size": 95987466, "dataset_s... | 2022-12-19T18:33:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "turkishReviews-ds-mini"
More Information needed | [
"# Dataset Card for \"turkishReviews-ds-mini\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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a34376c527c1ff080d71cd5a863ec4e6d696133f | # Dataset Card for "muppet-blip-captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Norod78/muppet-blip-captions | [
"region:us"
] | 2022-12-19T19:47:56+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 318180055.0, "num_examples": 976}], "download_size": 316787074, "dataset_size": 318180055.0}} | 2022-12-19T19:48:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "muppet-blip-captions"
More Information needed | [
"# Dataset Card for \"muppet-blip-captions\"\n\nMore Information needed"
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8c54c9f78834d91ebb4541fe55388c536735d1b6 |
# Dataset Card for IMDB Kurdish
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-stru... | razhan/imdb_ckb | [
"task_categories:text-classification",
"task_ids:sentiment-analysis",
"task_ids:sentiment-classification",
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"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|imdb",
"language:ckb",
"langu... | 2022-12-19T20:31:55+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["ckb", "ku"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|imdb"], "task_categories": ["text-classification"], "task_ids": ["sentiment-analysis... | 2023-01-13T17:41:39+00:00 | [] | [
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#task_categories-text-classification #task_ids-sentiment-analysis #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|imdb #language-Central Kurdish #language-Kurdish #license-ot... | Dataset Card for IMDB Kurdish
=============================
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
... | [
"### Dataset Summary\n\n\nCentral Kurdish translation of the famous IMDB movie reviews dataset.\n\n\nThe dataset contains 50K highly polar movie reviews, divided into two equal classes of positive and negative reviews. We can perform binary sentiment classification using this dataset.\nThe availability of datasets ... | [
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280bfaff1399973dea85fe9a9fe9085ac7ca171f | # 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: BirdL/OLM-GPT2-Yannic
* Dataset: mathemakitten/winobias_antistereotype_dev
* Config: mathemaki... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_dev-mathemakitte-398e1c-2536177709 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-19T22:03:24+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_dev"], "eval_info": {"task": "text_zero_shot_classification", "model": "BirdL/OLM-GPT2-Yannic", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_dev", "dataset_config": "mathemakitten--w... | 2022-12-19T22:04:15+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: BirdL/OLM-GPT2-Yannic
* Dataset: mathemakitten/winobias_antistereotype_dev
* Config: mathemakitten--winobias_antistereotype_dev
* ... | [
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f888c2e82ccf3939b486e1ecd6b44b82b5f4594c | All the datasets from https://huggingface.co/Whispering-GPT concated together to finetune [OLM-GPT2](https://huggingface.co/Tristan/olm-gpt2-oct-2022) | BirdL/WhisperGPTFull | [
"license:apache-2.0",
"region:us"
] | 2022-12-20T01:00:27+00:00 | {"license": "apache-2.0"} | 2022-12-20T01:04:24+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| All the datasets from URL concated together to finetune OLM-GPT2 | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
6af9b0e29d574b3d0a067c2c47ac75f8a9e256be | # Dataset Card for "DalleCatsAndDogs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | BirdL/DalleCatsAndDogs | [
"region:us"
] | 2022-12-20T04:33:34+00:00 | {"dataset_info": {"features": [{"name": "Images", "dtype": "image"}, {"name": "class", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 49662722.0, "num_examples": 500}], "download_size": 49664703, "dataset_size": 49662722.0}} | 2022-12-20T04:50:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DalleCatsAndDogs"
More Information needed | [
"# Dataset Card for \"DalleCatsAndDogs\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"DalleCatsAndDogs\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"DalleCatsAndDogs\"\n\nMore Information needed"
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dba2660b61c1a1f82372a0b1443aad3bd2922483 | # Dataset Card for "cathode-1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AxuJI/cathode-1 | [
"region:us"
] | 2022-12-20T06:25:00+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 55347464.0, "num_examples": 56}], "download_size": 51606062, "dataset_size": 55347464.0}} | 2022-12-20T07:48:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cathode-1"
More Information needed | [
"# Dataset Card for \"cathode-1\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"cathode-1\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"cathode-1\"\n\nMore Information needed"
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175c10ffdb77fd920f8ab86b735331282be1ee18 |
# CISLR: Corpus for Indian Sign Language Recognition
This repository contains the Indian Sign Language Dataset proposed in the following paper
> **Paper:** CISLR: Corpus for Indian Sign Language Recognition https://preview.aclanthology.org/emnlp-22-ingestion/2022.emnlp-main.707/
> **Authors:** Abhinav Joshi, Ashwan... | IIT-K/CISLR | [
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:sgn",
"license:afl-3.0",
"Indian Sign Language",
"Sign Language Recognition",
"region:us"
] | 2022-12-20T07:42:08+00:00 | {"language": ["sgn"], "license": ["afl-3.0"], "multilinguality": ["translation"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "pretty_name": "CISLR", "tags": ["Indian Sign Language", "Sign Language Recognition"]} | 2022-12-20T08:39:26+00:00 | [] | [
"sgn"
] | TAGS
#multilinguality-translation #size_categories-1K<n<10K #source_datasets-original #language-sgn #license-afl-3.0 #Indian Sign Language #Sign Language Recognition #region-us
|
# CISLR: Corpus for Indian Sign Language Recognition
This repository contains the Indian Sign Language Dataset proposed in the following paper
> Paper: CISLR: Corpus for Indian Sign Language Recognition URL
> Authors: Abhinav Joshi, Ashwani Bhat, Pradeep S, Priya Gole, Shashwat Gupta, Shreyansh Agarwal, Ashutosh Mo... | [
"# CISLR: Corpus for Indian Sign Language Recognition\n\nThis repository contains the Indian Sign Language Dataset proposed in the following paper\n\n> Paper: CISLR: Corpus for Indian Sign Language Recognition URL\n\n> Authors: Abhinav Joshi, Ashwani Bhat, Pradeep S, Priya Gole, Shashwat Gupta, Shreyansh Agarwal, A... | [
"TAGS\n#multilinguality-translation #size_categories-1K<n<10K #source_datasets-original #language-sgn #license-afl-3.0 #Indian Sign Language #Sign Language Recognition #region-us \n",
"# CISLR: Corpus for Indian Sign Language Recognition\n\nThis repository contains the Indian Sign Language Dataset proposed in the... | [
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