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4249ba622beb5a668ee5eedc1e0f44c029254b13 | # Overview
This dataset is a subset of the huggingface wikipedia dataset with ~70'000 rows, each about a person on wikipedia.
Each row contains the original wikipedia texts as sentences,
as well as a paraphrased version of each sentence. For both versions full texts with the entity the wikipedia page is about being mas... | Skatinger/wikipedia-persons-masked | [
"region:us"
] | 2022-12-05T18:23:48+00:00 | {} | 2023-01-19T15:08:52+00:00 | [] | [] | TAGS
#region-us
| # Overview
This dataset is a subset of the huggingface wikipedia dataset with ~70'000 rows, each about a person on wikipedia.
Each row contains the original wikipedia texts as sentences,
as well as a paraphrased version of each sentence. For both versions full texts with the entity the wikipedia page is about being mas... | [
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5cff6ebd7229a9f33a4ba18bd66795cb9dc2b2b6 | # Dataset Card for "sarcastic-news-headlines-1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liamvbetts/sarcastic-news-headlines-1 | [
"region:us"
] | 2022-12-05T18:42:23+00:00 | {"dataset_info": {"features": [{"name": "headline", "dtype": "string"}, {"name": "is_sarcastic", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1947706, "num_examples": 26709}], "download_size": 1328814, "dataset_size": 1947706}} | 2022-12-05T18:42:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sarcastic-news-headlines-1"
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006684c68df888b6fe2789e83c12731e5cfee854 | # Dataset Card for "sarcastic-news-headlines-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liamvbetts/sarcastic-news-headlines-v2 | [
"region:us"
] | 2022-12-05T19:02:06+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1947706, "num_examples": 26709}], "download_size": 1328187, "dataset_size": 1947706}} | 2022-12-05T19:03:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sarcastic-news-headlines-v2"
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284f57e8bb5ed25b5e309cc0136b2cefcf2ef166 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewiswatson/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
*... | autoevaluate/autoeval-staging-eval-emotion-default-34e541-17396354 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-05T19:24:17+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "lewiswatson/distilbert-base-uncased-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"tex... | 2022-12-05T19:24:44+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewiswatson/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation ... | [
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3e0bb192ffa2691ac4a497c245a893b1189d82e4 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewtun/minilm-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run n... | autoevaluate/autoeval-staging-eval-emotion-default-34e541-17396352 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-05T19:24:17+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "lewtun/minilm-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": ... | 2022-12-05T19:24:42+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewtun/minilm-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Fa... | [
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3d24acf758fe45c0496c9eef0de8e343ee6da88f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewtun/sagemaker-distilbert-emotion
* Dataset: emotion
* Config: default
* Split: test
To r... | autoevaluate/autoeval-staging-eval-emotion-default-34e541-17396353 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-05T19:24:17+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "lewtun/sagemaker-distilbert-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "targe... | 2022-12-05T19:24:45+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewtun/sagemaker-distilbert-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Huggin... | [
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40fef67a9c92949796bd9e1e396b278b28fc3cc2 | boats | Telecom-BGDAI/boats | [
"region:us"
] | 2022-12-05T19:45:34+00:00 | {} | 2022-12-05T19:47:13+00:00 | [] | [] | TAGS
#region-us
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d3ccf9d510142f299b65d9d1be0189be6ebe198a | # Dataset Card for "librispeech5k_augm_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CristianaLazar/librispeech5k_augm_train | [
"region:us"
] | 2022-12-05T19:57:05+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "chapter_id", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "input_features", "seq... | 2022-12-05T20:11:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "librispeech5k_augm_train"
More Information needed | [
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dc67ba949f055429bca9598c7761fee26594055b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: autoevaluate/summarization
* Dataset: autoevaluate/xsum-sample
* Config: autoevaluate--xsum-sample
* Split: te... | autoevaluate/autoeval-staging-eval-autoevaluate__xsum-sample-autoevaluate__xsum-sample-437a8a-17406355 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-05T20:08:52+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["autoevaluate/xsum-sample"], "eval_info": {"task": "summarization", "model": "autoevaluate/summarization", "metrics": [], "dataset_name": "autoevaluate/xsum-sample", "dataset_config": "autoevaluate--xsum-sample", "dataset_split": "test", "col_map... | 2022-12-05T20:09:15+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: autoevaluate/summarization
* Dataset: autoevaluate/xsum-sample
* Config: autoevaluate--xsum-sample
* Split: test
To run new evaluation jobs, visi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: autoevaluate/summarization\n* Dataset: autoevaluate/xsum-sample\n* Config: autoevaluate--xsum-sample\n* Split: test\n\nTo run new evalua... | [
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05901479683557d2843ab4ab0b3105193403c690 | # ObjectNet (Test set only)
Original paper: [ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models](https://objectnet.dev/objectnet-a-large-scale-bias-controlled-dataset-for-pushing-the-limits-of-object-recognition-models.pdf)
Homepage: https://objectnet.dev/
Bibtex:
``... | djghosh/wds_objectnet_test | [
"region:us"
] | 2022-12-05T20:28:14+00:00 | {} | 2022-12-12T21:18:15+00:00 | [] | [] | TAGS
#region-us
| # ObjectNet (Test set only)
Original paper: ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
Homepage: URL
Bibtex:
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e8aad2d4865abb219eda627f20161a9f5e2934ad | # RESISC45 (Test set only)
Original paper: [Remote Sensing Image Scene Classification: Benchmark and State of the Art](https://arxiv.org/abs/1703.00121v1)
Homepage (broken link): http://www.escience.cn/people/JunweiHan/NWPU-RESISC45.html
Bibtex:
```
@article{DBLP:journals/corr/ChengHL17,
author = {Gong Cheng an... | djghosh/wds_vtab-resisc45_test | [
"arxiv:1703.00121",
"region:us"
] | 2022-12-05T20:55:55+00:00 | {} | 2022-12-12T22:10:10+00:00 | [
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#arxiv-1703.00121 #region-us
| # RESISC45 (Test set only)
Original paper: Remote Sensing Image Scene Classification: Benchmark and State of the Art
Homepage (broken link): URL
Bibtex:
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0840d3af4684ffee0372cb54a2f9b76fd40bcccc |
# Dataset Card for Czech Court Decisions NER
## Dataset Description
Czech Court Decisions NER is a dataset of 300 court decisions published by The Supreme Court of the Czech Republic and the Constitutional Court of the Czech Republic.
In the documents, 4 types of named entities are selected.
## Dataset Features
E... | fewshot-goes-multilingual/cs_czech-court-decisions-ner | [
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"court decisi... | 2022-12-05T22:03:19+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["other"], "language": ["cs"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pre... | 2022-12-05T23:01:04+00:00 | [] | [
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|
# Dataset Card for Czech Court Decisions NER
## Dataset Description
Czech Court Decisions NER is a dataset of 300 court decisions published by The Supreme Court of the Czech Republic and the Constitutional Court of the Czech Republic.
In the documents, 4 types of named entities are selected.
## Dataset Features
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2de016a42923bd78c9ddac2e570af07745b3c936 | # Dataset Card for "xsum_tiny_ood"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SpeedOfMagic/xsum_tiny_ood | [
"region:us"
] | 2022-12-05T22:21:21+00:00 | {"dataset_info": {"features": [{"name": "document", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2343786.0, "num_examples": 1100}, {"name": "dev", "num_bytes": 398593.0, "num_examples": 200}, {"name": "test", "num_bytes": 468841.0, "num_examples": 200}], "download_... | 2022-12-05T22:22:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "xsum_tiny_ood"
More Information needed | [
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0d3d437768d386e97e513943daf34adb44e7c3b5 | # SUN397 (Test set only)
Original paper: [SUN Database: Exploring a Large Collection of Scene Categories](https://vision.princeton.edu/projects/2010/SUN/paperIJCV.pdf)
Homepage: https://vision.princeton.edu/projects/2010/SUN/
Bibtex:
```
@ARTICLE{Xiao2016-ix,
title = "{SUN} database: Exploring a large collecti... | djghosh/wds_sun397_test | [
"region:us"
] | 2022-12-05T22:21:47+00:00 | {} | 2022-12-12T22:20:12+00:00 | [] | [] | TAGS
#region-us
| # SUN397 (Test set only)
Original paper: SUN Database: Exploring a Large Collection of Scene Categories
Homepage: URL
Bibtex:
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69a8ae244cfd6d825135ae01591a2582ed020c56 | # AutoTrain Dataset for project: acc_keys
## Dataset Description
This dataset has been automatically processed by AutoTrain for project acc_keys.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
... | alanila/autotrain-data-acc_keys | [
"task_categories:text-classification",
"region:us"
] | 2022-12-05T22:25:46+00:00 | {"task_categories": ["text-classification"]} | 2022-12-05T22:26:22+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: acc\_keys
========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project acc\_keys.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
###... | [
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"### Dataset Splits\n\n\nThis d... | [
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8c4b45bd4e8683f0d8bdf2b64696a6420e989c4d | # 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: Palak/albert-base-v2_squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluati... | autoevaluate/autoeval-eval-squad-plain_text-9c2592-2347273870 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-05T23:51:00+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "Palak/albert-base-v2_squad", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "context", "... | 2022-12-05T23:54:03+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: Palak/albert-base-v2_squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's automa... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: Palak/albert-base-v2_squad\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, visit Huggin... | [
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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: Palak/albert-base-v2_squad\n* Dataset: squad\n* Config: plain_text\n* Split: val... |
ee280a672a3428cd539f6a4df09dcd26488137a5 | # 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: Palak/albert-base-v2_squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluati... | autoevaluate/autoeval-eval-squad-plain_text-26d159-2347473871 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-05T23:51:06+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "Palak/albert-base-v2_squad", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "context", "... | 2022-12-05T23:54:05+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: Palak/albert-base-v2_squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's automa... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: Palak/albert-base-v2_squad\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, visit Huggin... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: Palak/albert-base-v2_squad\n* Dataset: squad\n* Config: plain_text\n* Split: valida... | [
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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: Palak/albert-base-v2_squad\n* Dataset: squad\n* Config: plain_text\n* Split: val... |
ac9f3639760fe11e707d945d179d82afbb447af0 | # Dataset Card for "stack-filtered-pii-1M-java"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | loubnabnl/stack-filtered-pii-1M-java | [
"region:us"
] | 2022-12-06T01:26:31+00:00 | {"dataset_info": {"features": [{"name": "hexsha", "dtype": "string"}, {"name": "size", "dtype": "int64"}, {"name": "ext", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "max_stars_repo_path", "dtype": "string"}, {"name": "max_stars_repo_name", "dtype": "string"}, {"name": "max_stars_repo_head_hexsha"... | 2022-12-06T01:28:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "stack-filtered-pii-1M-java"
More Information needed | [
"# Dataset Card for \"stack-filtered-pii-1M-java\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"stack-filtered-pii-1M-java\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"stack-filtered-pii-1M-java\"\n\nMore Information needed"
] |
d16cd5478bd7423b8dfd8f206e2bc59f921d6ba6 | # python datasets
| kidd2012/kidd-github-issues | [
"region:us"
] | 2022-12-06T03:37:20+00:00 | {} | 2022-12-06T05:28:52+00:00 | [] | [] | TAGS
#region-us
| # python datasets
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"# python datasets"
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"passage: TAGS\n#region-us \n# python datasets"
] |
a51db0a390d45703ce29b1422e116b93a94a3f1c | # Dataset Card for "nsc_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dlproject/nsc_test | [
"region:us"
] | 2022-12-06T04:26:53+00:00 | {"dataset_info": {"features": [{"name": "input_values", "sequence": {"sequence": {"sequence": "float32"}}}, {"name": "attention_mask", "sequence": {"sequence": "int32"}}, {"name": "labels", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 233563168, "num_examples": 1769}], "download_size": 222492491, "data... | 2022-12-06T04:29:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nsc_test"
More Information needed | [
"# Dataset Card for \"nsc_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"nsc_test\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"nsc_test\"\n\nMore Information needed"
] |
8ff0f0dc8eb0711a340f4715b7104b9e8603999c | This repository contains the intermediate checkpoints for the model https://huggingface.co/laion/CLIP-ViT-H-14-laion2B-s32B-b79K.
Each "epoch" corresponds to an additional 32B/256 samples seen.
The purpose of releasing these checkpoints and optimizer states is to enable analysis.
For the first 121 "epcohs", training wa... | laion/CLIP-ViT-H-14-laion2B-s32B-b79K-all-checkpoints | [
"license:mit",
"region:us"
] | 2022-12-06T04:43:52+00:00 | {"license": "mit"} | 2022-12-09T03:23:17+00:00 | [] | [] | TAGS
#license-mit #region-us
| This repository contains the intermediate checkpoints for the model URL
Each "epoch" corresponds to an additional 32B/256 samples seen.
The purpose of releasing these checkpoints and optimizer states is to enable analysis.
For the first 121 "epcohs", training was done with float16 mixed precision before switching to bf... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
60d053949f6f112d60373b33c603523b8d473afb | # Dataset Card for "tokenized-recipe-nlg-gpt2-ingredients-to-recipe-end"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pratultandon/tokenized-recipe-nlg-gpt2-ingredients-to-recipe-end | [
"region:us"
] | 2022-12-06T04:59:44+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 2217334238, "num_examples": 2022671}, {"name": "test", "num_bytes": 116785866, "num_examples": 106202}], "download_size": 749380879, "dataset_size": 23341... | 2022-12-06T05:35:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tokenized-recipe-nlg-gpt2-ingredients-to-recipe-end"
More Information needed | [
"# Dataset Card for \"tokenized-recipe-nlg-gpt2-ingredients-to-recipe-end\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"tokenized-recipe-nlg-gpt2-ingredients-to-recipe-end\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"tokenized-recipe-nlg-gpt2-ingredients-to-recipe-end\"\n\nMore Information needed"
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11a2d28556692050723773cd8e02b02498b646a4 |
See [DistilGPT2 Stable Diffusion](https://huggingface.co/FredZhang7/distilgpt2-stable-diffusion) | FredZhang7/krea-ai-prompts | [
"license:mit",
"region:us"
] | 2022-12-06T05:23:09+00:00 | {"license": "mit"} | 2022-12-06T05:37:07+00:00 | [] | [] | TAGS
#license-mit #region-us
|
See DistilGPT2 Stable Diffusion | [] | [
"TAGS\n#license-mit #region-us \n"
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11
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c8bfafd883966295d3a443d40af81681814e0958 | # Dataset Card for "olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295-exact-dedup-only"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295-exact-dedup-only | [
"region:us"
] | 2022-12-06T06:03:22+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "crawl_timestamp", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 33889845422, "num_examples": 5782492}], "download_size": 20360314176, "dataset_size": 33889845422}} | 2022-12-06T16:58:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295-exact-dedup-only"
More Information needed | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295-exact-dedup-only\"\n\nMore Information needed"
] |
e2f37e95cc5eb38359b6aefc2cbf98a50fd1b7e4 |
## Dataset Description
A small subset in each dataset of `pile-v2`(~1000 samples) of [pile-v2]() dataset, each has 1,000 random samples from the original dataset. The dataset has 255MB of text (code and english).
## Languages
The dataset contains technical text on programming languages and natural language with the... | CarperAI/pile-v2-small-filtered | [
"task_categories:text-generation",
"task_ids:language-modeling",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:unknown",
"language:en",
"language:code",
"region:us"
] | 2022-12-06T06:08:44+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced"], "language": ["en", "code"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"]} | 2022-12-06T14:16:11+00:00 | [] | [
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#task_categories-text-generation #task_ids-language-modeling #language_creators-crowdsourced #multilinguality-multilingual #size_categories-unknown #language-English #language-code #region-us
|
## Dataset Description
A small subset in each dataset of 'pile-v2'(~1000 samples) of [pile-v2]() dataset, each has 1,000 random samples from the original dataset. The dataset has 255MB of text (code and english).
## Languages
The dataset contains technical text on programming languages and natural language with the... | [
"## Dataset Description\n\nA small subset in each dataset of 'pile-v2'(~1000 samples) of [pile-v2]() dataset, each has 1,000 random samples from the original dataset. The dataset has 255MB of text (code and english).",
"## Languages\nThe dataset contains technical text on programming languages and natural languag... | [
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025b58466d24eaa7462689bad4fd7c0aa2fdd631 |
# Dataset Card for librispeech_asr
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-insta... | nguyenvulebinh/libris_clean_100 | [
"task_categories:automatic-speech-recognition",
"task_categories:audio-classification",
"task_ids:speaker-identification",
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"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"sou... | 2022-12-06T07:19:09+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition", "audio-classi... | 2022-12-06T07:28:15+00:00 | [] | [
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=================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Dat... | [
"### Dataset Summary\n\n\nLibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and aligned.",
"### Supported Tasks and... | [
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b93d8a9da47a40a289a5ac0914e16ceb3248bafd | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-cnn
* Dataset: gigaword
* Config: default
* Split: test
To run new evaluation jobs, visit... | autoevaluate/autoeval-eval-gigaword-default-2df74a-2350473902 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-06T08:07:04+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["gigaword"], "eval_info": {"task": "summarization", "model": "facebook/bart-large-cnn", "metrics": ["rouge"], "dataset_name": "gigaword", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document", "target": "summary... | 2022-12-06T08:12:27+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-cnn
* Dataset: gigaword
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model eval... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: facebook/bart-large-cnn\n* Dataset: gigaword\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's autom... | [
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01600ce7eabbf42a5ee7c82b82f49a11597b3a5f |
# Dataset Card for MultiSports
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-struc... | MCG-NJU/MultiSports | [
"task_categories:image-classification",
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"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"li... | 2022-12-06T08:32:53+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-nc-4.0"], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": ["original"], "task_categories": ["image-classification", "object-detection", "other"], "task_ids": ["multi... | 2022-12-13T07:47:16+00:00 | [
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============================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ ... | [
"### Dataset Summary\n\n\nSpatio-temporal action localization is an important and challenging problem in video understanding. Previous action detection benchmarks are limited in aspects of small numbers of instances in a trimmed video or low-level atomic actions. MultiSports is a multi-person dataset of spatio-temp... | [
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d4dc2845e2a15fbb32b480c5881ec724b81a6705 | Over 20,000 512x512 mel spectrograms of 5 second samples of music from my Spotify liked playlist. The code to convert from audio to spectrogram and vice versa can be found in https://github.com/teticio/audio-diffusion along with scripts to train and run inference using De-noising Diffusion Probabilistic Models.
```
x_r... | teticio/audio-diffusion-512 | [
"task_categories:image-to-image",
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"spectrograms",
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] | 2022-12-06T09:26:24+00:00 | {"size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["image-to-image"], "task_ids": [], "pretty_name": "Mel spectrograms of music", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "audio_file", "dtype": "string"}, {"name": "slice", "dtype": "int16"}], "splits": [{"n... | 2023-06-19T19:34:16+00:00 | [] | [] | TAGS
#task_categories-image-to-image #size_categories-10K<n<100K #audio #spectrograms #region-us
| Over 20,000 512x512 mel spectrograms of 5 second samples of music from my Spotify liked playlist. The code to convert from audio to spectrogram and vice versa can be found in URL along with scripts to train and run inference using De-noising Diffusion Probabilistic Models.
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cd0134d435c080bb352b8b352a799ff35007dbb9 | # Dataset Card for "librispeech5k_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CristianaLazar/librispeech5k_train | [
"region:us"
] | 2022-12-06T10:51:00+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "chapter_id", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "input_features", "seq... | 2022-12-06T11:07:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "librispeech5k_train"
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308e97469d4cc58caaef04f110ebbd65dce628fc | # Dataset Card for "uber-reviews"
## Dataset Description
- **Homepage:** Kaggle Challenge
- **Repository:** https://www.kaggle.com/datasets/jschne61701/uber-rides-costumer-reviews-dataset
- **Paper:** N.A.
- **Leaderboard:** N.A.
- **Point of Contact:** N.A.
### Dataset Summary
Using Python's Beautiful Soup library... | argilla/uber-reviews | [
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] | 2022-12-06T11:47:18+00:00 | {"language": ["en"], "license": ["unknown"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"name": "text", "dtype": ... | 2022-12-06T12:00:28+00:00 | [] | [
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#task_categories-text-classification #task_ids-sentiment-classification #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #region-us
| # Dataset Card for "uber-reviews"
## Dataset Description
- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.
### Dataset Summary
Using Python's Beautiful Soup library and Scrappy framework, scraped date, star rating, and comment from all reviews from 2013 - 2019... | [
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d42d44b7dea25b643c58fc02fc19f5b81ee1d372 |
This DataSet contain nba games from 2019 tp 2022
| KDAM1/BasketballGames | [
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] | 2022-12-06T11:56:33+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": [], "task_categories": ["other"], "task_ids": [], "pretty_name": "BasketballGames", "tags": []} | 2022-12-06T12:11:11+00:00 | [] | [
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f57199dde555a1e4858be6fdb307dc0d5060761f | # Dataset Card for "tripadvisor-hotel-reviews"
## Dataset Description
- **Homepage:** Kaggle Challenge
- **Repository:** https://www.kaggle.com/datasets/andrewmvd/trip-advisor-hotel-reviews
- **Paper:** https://zenodo.org/record/1219899
- **Leaderboard:** N.A.
- **Point of Contact:** N.A.
### Dataset Summary
Hotels pla... | argilla/tripadvisor-hotel-reviews | [
"task_categories:text-classification",
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] | 2022-12-06T13:04:42+00:00 | {"language": ["en"], "license": ["cc-by-nc-4.0"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"name": "text", "d... | 2022-12-07T07:10:56+00:00 | [] | [
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#task_categories-text-classification #task_ids-sentiment-classification #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #region-us
| # Dataset Card for "tripadvisor-hotel-reviews"
## Dataset Description
- Homepage: Kaggle Challenge
- Repository: URL
- Paper: URL
- Leaderboard: N.A.
- Point of Contact: N.A.
### Dataset Summary
Hotels play a crucial role in traveling and with the increased access to information new pathways of selecting the best ones ... | [
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f88caaaae5963fd57542ed0a0b80eff469cbf9f5 | # Dataset Card for "twitter-genderbias"
## Dataset Description
- **Homepage:** Kaggle Challenge
- **Repository:** https://www.kaggle.com/datasets/kevinmorgado/gender-bias-spanish
- **Paper:** N.A.
- **Leaderboard:** N.A.
- **Point of Contact:** N.A.
### Dataset Summary
This dataset contains more than 1900 labeled S... | argilla/twitter-genderbias | [
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] | 2022-12-06T13:17:03+00:00 | {"language": ["es"], "license": ["unknown"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification", "sentiment-analysis"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"na... | 2022-12-06T16:21:21+00:00 | [] | [
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| # Dataset Card for "twitter-genderbias"
## Dataset Description
- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.
### Dataset Summary
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4d56aff3af34b027cace01c0dcc3b1f9445872f4 | # Dataset Card for "twitter-coronavirus"
## Dataset Description
- **Homepage:** Kaggle Challenge
- **Repository:** https://www.kaggle.com/datasets/datatattle/covid-19-nlp-text-classification
- **Paper:** N.A.
- **Leaderboard:** N.A.
- **Point of Contact:** N.A.
### Dataset Summary
Perform Text Classification on the... | argilla/twitter-coronavirus | [
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#task_categories-text-classification #task_ids-sentiment-classification #task_ids-sentiment-analysis #size_categories-10K<n<100K #source_datasets-original #language-English #license-unknown #region-us
| # Dataset Card for "twitter-coronavirus"
## Dataset Description
- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.
### Dataset Summary
Perform Text Classification on the data. The tweets have been pulled from Twitter and manual tagging has been done then.
The n... | [
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5f7b5b3276e087b395a0157e5aa8f37ff8679f62 | # Dataset Card for "scalableMLDL1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | marvmk/scalableMLDL1 | [
"region:us"
] | 2022-12-06T14:03:14+00:00 | {"dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 5726523552, "num_examples": 5962}, {"name": "test", "num_bytes": 2546311152, "num_examples": 2651}], "download_size": 1397383253, "dataset_s... | 2022-12-06T14:05:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "scalableMLDL1"
More Information needed | [
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9c42976fd43cd0dd562b3627e7f2b43419181455 | # Dataset Card for "librispeech_validation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CristianaLazar/librispeech_validation | [
"region:us"
] | 2022-12-06T14:19:25+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "chapter_id", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "input_features", "seq... | 2022-12-06T14:28:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "librispeech_validation"
More Information needed | [
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08ea56d47b74bc85ef202198f1f896d4a18561f1 | # Dataset Card for "speech2emotion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | wofeishenling/speech2emotion | [
"region:us"
] | 2022-12-06T14:31:10+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "label", "dtype": {"class_label": {"names": {"0": "neu", "1": "hap", "2": "ang", "3": "sad"}}}}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "session1", "n... | 2023-02-15T07:42:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "speech2emotion"
More Information needed | [
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390eadd23da82efb8905eb877dda85a73c8a6d0d | # Dataset Card for "leicester_loaded_annotations"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
| davanstrien/leicester_loaded_annotations | [
"region:us"
] | 2022-12-06T14:55:00+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "choice", "dtype": "string"}, {"name": "annotator", "dtype": "int64"}, {"name": "annotation_id", "dtype": "int64"}, {"name": "created_at", "dtype": "string"}, {"name": "updated_at", "dtype": "string"}, {"name... | 2022-12-06T20:17:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "leicester_loaded_annotations"
More Information needed
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04a26f61e5df35b37f763582d1157b4c763470ea | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: knkarthick/MEETING_SUMMARY
* Dataset: bazzhangz/sumdataset
* Config: bazzhangz--sumdataset
* Split: train
To ... | autoevaluate/autoeval-eval-bazzhangz__sumdataset-bazzhangz__sumdataset-18687b-2355774138 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: knkarthick/MEETING_SUMMARY
* Dataset: bazzhangz/sumdataset
* Config: bazzhangz--sumdataset
* Split: train
To run new evaluation jobs, visit Huggi... | [
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4111ff2c9a6086993cbadf8e57cb0c4178494282 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: google/pegasus-cnn_dailymail
* Dataset: cnn_dailymail
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To run new evaluation job... | autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-5c4aa4-2355874139 | [
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: google/pegasus-cnn_dailymail
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic mo... | [
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dd64a3ea4fda4d360487cf28888ffeb65b91fd32 | # Dataset Card for "leicester_loaded_annotations_binary"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | davanstrien/leicester_loaded_annotations_binary | [
"region:us"
] | 2022-12-06T15:57:06+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "labels", "dtype": {"class_label": {"names": {"0": "other", "1": "county_trades"}}}}], "splits": [{"name": "train", "num_bytes": 1090143420.0, "num_examples": 525}], "download_size": 0, "dataset_size": 1090143420.0}} | 2022-12-07T13:59:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "leicester_loaded_annotations_binary"
More Information needed | [
"# Dataset Card for \"leicester_loaded_annotations_binary\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"leicester_loaded_annotations_binary\"\n\nMore Information needed"
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6,
23
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"passage: TAGS\n#region-us \n# Dataset Card for \"leicester_loaded_annotations_binary\"\n\nMore Information needed"
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1aa02586aa87aa4123fc625a03b6a8ecfb45aac8 | # Dataset Card for "librispeech_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CristianaLazar/librispeech_test | [
"region:us"
] | 2022-12-06T17:15:36+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "chapter_id", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "input_features", "seq... | 2022-12-06T17:22:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "librispeech_test"
More Information needed | [
"# Dataset Card for \"librispeech_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"librispeech_test\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"librispeech_test\"\n\nMore Information needed"
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f2dd0c74d63d03f3932d0f9b85bc827ec2779d99 | # ImageNet-1k (Test set only)
Original paper: [ImageNet Large Scale Visual Recognition Challenge](https://arxiv.org/abs/1409.0575)
Homepage: https://www.image-net.org/
Bibtex:
```
@article{ILSVRC15,
Author = {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Hu... | djghosh/wds_imagenet1k_test | [
"arxiv:1409.0575",
"region:us"
] | 2022-12-06T18:43:25+00:00 | {} | 2022-12-12T21:01:44+00:00 | [
"1409.0575"
] | [] | TAGS
#arxiv-1409.0575 #region-us
| # ImageNet-1k (Test set only)
Original paper: ImageNet Large Scale Visual Recognition Challenge
Homepage: URL
Bibtex:
| [
"# ImageNet-1k (Test set only)\n\nOriginal paper: ImageNet Large Scale Visual Recognition Challenge\n\nHomepage: URL\n\nBibtex:"
] | [
"TAGS\n#arxiv-1409.0575 #region-us \n",
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5e2ef70db24ea5ac74fd863ba2a416a2dc698379 |
# Araina Text Corpus
Text corpus in [Aranese variety of Gascon dialect of Occitan](https://en.wikipedia.org/wiki/Aranese_dialect).
## Corpora
- `_nogues`: Literary texts translated by Antòni Nogués. Sourced from [institutestudisaranesi.cat](http://www.institutestudisaranesi.cat/colleccion-antoni-nogues/#15410136465... | collectivat/araina-text-corpus | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:oc",
"license:cc0-1.0",
"region:us"
] | 2022-12-06T18:59:41+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["oc"], "license": "cc0-1.0", "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"]} | 2022-12-30T15:42:30+00:00 | [] | [
"oc"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-Occitan (post 1500) #license-cc0-1.0 #region-us
|
# Araina Text Corpus
Text corpus in Aranese variety of Gascon dialect of Occitan.
## Corpora
- '_nogues': Literary texts translated by Antòni Nogués. Sourced from URL
- '_suils': Language educational material by Jordi Suïls Subirà
- '_conselh': Administrative proceedings from Conselh Generau d'Aran
## Project Arai... | [
"# Araina Text Corpus\n\nText corpus in Aranese variety of Gascon dialect of Occitan.",
"## Corpora\n\n- '_nogues': Literary texts translated by Antòni Nogués. Sourced from URL\n- '_suils': Language educational material by Jordi Suïls Subirà\n- '_conselh': Administrative proceedings from Conselh Generau d'Aran",
... | [
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070a7c8bdf18d2e9c2f2552f593a18673548f66c | Custom Marist QA dataset to train Kevin - version 12/01/22 | Bonorinoa/kevin_train_12_6 | [
"region:us"
] | 2022-12-06T19:03:46+00:00 | {} | 2022-12-06T19:05:08+00:00 | [] | [] | TAGS
#region-us
| Custom Marist QA dataset to train Kevin - version 12/01/22 | [] | [
"TAGS\n#region-us \n"
] | [
6
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eab24cf63fc482f610795ecc93c6e5bc40317a68 | # Dataset Card for "librispeech_augm_validation-tiny"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CristianaLazar/librispeech_augm_validation-tiny | [
"region:us"
] | 2022-12-06T19:11:18+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "chapter_id", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "input_features", "seq... | 2022-12-06T19:23:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "librispeech_augm_validation-tiny"
More Information needed | [
"# Dataset Card for \"librispeech_augm_validation-tiny\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"librispeech_augm_validation-tiny\"\n\nMore Information needed"
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ee99e225418ab025716b664a25f535cee4bee363 | # Dataset Card for "starter2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Generated by a fine-tuned GPT3 curie model over 2020 and 2022 on 10.000 conversation starters.
Generation pipeline:
- generate 3 conversation starters
- fi... | Langame/starter2 | [
"region:us"
] | 2022-12-06T19:26:51+00:00 | {"viewer": true, "dataset_info": {"features": [{"name": "content", "dtype": "string"}, {"name": "state", "dtype": "string"}, {"name": "apiCompletionModel", "dtype": "string"}, {"name": "createdAt", "dtype": "timestamp[ns, tz=UTC]"}, {"name": "completionType", "dtype": "float64"}, {"name": "apiClassificationModel", "dty... | 2023-02-23T08:40:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "starter2"
More Information needed
Generated by a fine-tuned GPT3 curie model over 2020 and 2022 on 10.000 conversation starters.
Generation pipeline:
- generate 3 conversation starters
- fine-tuned curie classify 0-1
- take top 1
Humans have reviewed and fixed/deleted these conversation starters... | [
"# Dataset Card for \"starter2\"\n\nMore Information needed\n\nGenerated by a fine-tuned GPT3 curie model over 2020 and 2022 on 10.000 conversation starters.\n\nGeneration pipeline:\n- generate 3 conversation starters\n- fine-tuned curie classify 0-1\n- take top 1\n\nHumans have reviewed and fixed/deleted these con... | [
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ede3b50f99f5a4bdf343ef3a0bbea3482198d790 |
# Pastel Style Embedding / Textual Inversion
<img alt="Showcase" src="https://huggingface.co/datasets/Nerfgun3/pastel_style/resolve/main/pastel_style.jpg"/>
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```... | Nerfgun3/pastel_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2022-12-06T19:33:11+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "thumbnail": "https://huggingface.co/datasets/Nerfgun3/pastel_style/resolve/main/pastel_style.jpg", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2022-12-06T19:38:55+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
|
# Pastel Style Embedding / Textual Inversion
<img alt="Showcase" src="URL
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
Personally, I would recommend to use my embeddings with a strength of 0.8, like
I ... | [
"# Pastel Style Embedding / Textual Inversion\n\n<img alt=\"Showcase\" src=\"URL",
"## Usage\n\nTo use this embedding you have to download the file aswell as drop it into the \"\\stable-diffusion-webui\\embeddings\" folder\n\nTo use it in a prompt: \n\nPersonally, I would recommend to use my embeddings with a str... | [
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"## Usage\n\nTo use this embedding you have to download the file aswell as drop it into the \"\\stable-diffu... | [
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d00c469f1dc9f5b8f968b95321eedeebe6bd35ea | # Dataset Card for "gal_yair_large"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | galman33/gal_yair_166000_1664x832_fixed | [
"region:us"
] | 2022-12-06T19:49:12+00:00 | {"dataset_info": {"features": [{"name": "lat", "dtype": "float64"}, {"name": "lon", "dtype": "float64"}, {"name": "country_code", "dtype": {"class_label": {"names": {"0": "ad", "1": "ae", "2": "al", "3": "aq", "4": "ar", "5": "au", "6": "bd", "7": "be", "8": "bg", "9": "bm", "10": "bo", "11": "br", "12": "bt", "13": "b... | 2022-12-06T20:36:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gal_yair_large"
More Information needed | [
"# Dataset Card for \"gal_yair_large\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"gal_yair_large\"\n\nMore Information needed"
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6,
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63b1d0965e3a941703e33272b61ba508411376d0 | # Dataset Card for "scalableMLDL2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | marvmk/scalableMLDL2 | [
"region:us"
] | 2022-12-06T20:53:05+00:00 | {"dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 5726523552, "num_examples": 5962}, {"name": "test", "num_bytes": 2546311152, "num_examples": 2651}], "download_size": 1397392104, "dataset_s... | 2022-12-06T22:08:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "scalableMLDL2"
More Information needed | [
"# Dataset Card for \"scalableMLDL2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"scalableMLDL2\"\n\nMore Information needed"
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6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"scalableMLDL2\"\n\nMore Information needed"
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6e48c15a2ea7559cac10e5c5a453a2ef5913577e |
# Splash Art Style Embedding / Textual Inversion
<img alt="Showcase" src="https://huggingface.co/datasets/Nerfgun3/splash_art/resolve/main/splashart.jpg"/>
## Usage
I uploaded two different versions. Both embeddings create splash art images, although the splash_art2 is more consistent, splash_art generates more gen... | Nerfgun3/splash_art | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2022-12-06T20:55:26+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "thumbnail": "https://huggingface.co/datasets/Nerfgun3/splash_art/resolve/main/splashart.jpg", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2022-12-06T21:01:28+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
|
# Splash Art Style Embedding / Textual Inversion
<img alt="Showcase" src="URL
## Usage
I uploaded two different versions. Both embeddings create splash art images, although the splash_art2 is more consistent, splash_art generates more generic images than splash_art2. Enjoy!
To use this embedding you have to downl... | [
"# Splash Art Style Embedding / Textual Inversion\n\n<img alt=\"Showcase\" src=\"URL",
"## Usage\n\nI uploaded two different versions. Both embeddings create splash art images, although the splash_art2 is more consistent, splash_art generates more generic images than splash_art2. Enjoy! \n\nTo use this embedding ... | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us \n",
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36ab7c5086b4abfb1f13576b048abac0ceb4fea5 | # Dataset Card for "cantonese_processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tilos/cantonese_processed | [
"region:us"
] | 2022-12-06T21:53:29+00:00 | {"dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 18830225280, "num_examples": 19605}], "download_size": 1276665418, "dataset_size": 18830225280}} | 2022-12-06T22:26:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cantonese_processed"
More Information needed | [
"# Dataset Card for \"cantonese_processed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cantonese_processed\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"cantonese_processed\"\n\nMore Information needed"
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e560d7c1989174b135a17e69e68889dbf38e0628 | # Dataset Card for "image50"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Steven0633/image50 | [
"region:us"
] | 2022-12-06T22:19:21+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "arrange chairs", "1": "arrange flowers", "2": "bake potato", "3": "beat eggs", "4": "bend knee", "5": "bend tree", "6": "bind hair", "7": "bite apple", "8": "block door", "9": "block window", ... | 2022-12-06T22:38:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "image50"
More Information needed | [
"# Dataset Card for \"image50\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"image50\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"image50\"\n\nMore Information needed"
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d1b52887a64651e934e908daba767954f8299ac0 | # Dataset Card for "595Gao"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | epigone707/595Gao | [
"region:us"
] | 2022-12-06T22:22:59+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "arrange+chairs", "1": "arrange+flowers", "2": "bake+potato", "3": "beat+eggs", "4": "bend+knee", "5": "bend+tree", "6": "bind+hair", "7": "bite+apple", "8": "block+door", "9": "block+window", ... | 2022-12-07T00:40:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "595Gao"
More Information needed | [
"# Dataset Card for \"595Gao\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"595Gao\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"595Gao\"\n\nMore Information needed"
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d590bb4a2b1c16c734401837fced22716efdcdaf | # Dataset Card for "tagesschau"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tillschwoerer/tagesschau | [
"task_categories:text-classification",
"task_ids:topic-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:de",
"newspapers",
"germany",
"2022",
"region:us"
] | 2022-12-06T23:08:19+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["de"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["topic-classification"], "pretty_name": "tagesschau", "tags": ["news... | 2022-12-06T23:21:09+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-classification #task_ids-topic-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #language-German #newspapers #germany #2022 #region-us
| # Dataset Card for "tagesschau"
More Information needed | [
"# Dataset Card for \"tagesschau\"\n\n\n\nMore Information needed"
] | [
"TAGS\n#task_categories-text-classification #task_ids-topic-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #language-German #newspapers #germany #2022 #region-us \n",
"# Dataset Card for \"tagesschau\"\n\n\n\nMore Information needed"
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] |
4aa60b5519c07adf32aec7f2417b73de0238c351 | # Dataset Card for "sheet_music_ede2110"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EmileEsmaili/sheet_music_ede2110 | [
"region:us"
] | 2022-12-07T00:03:50+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 2229356112.491, "num_examples": 9219}], "download_size": 1211789844, "dataset_size": 2229356112.491}} | 2022-12-09T06:41:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sheet_music_ede2110"
More Information needed | [
"# Dataset Card for \"sheet_music_ede2110\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"sheet_music_ede2110\"\n\nMore Information needed"
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49ec483e772970fbf6f46919372c4e9b6a60bcee | # Dataset Card for "lyoko-ultimate"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Madiator2011/lyoko-ultimate | [
"region:us"
] | 2022-12-07T00:14:50+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24808769.89, "num_examples": 1435}], "download_size": 24242906, "dataset_size": 24808769.89}} | 2022-12-07T00:20:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lyoko-ultimate"
More Information needed | [
"# Dataset Card for \"lyoko-ultimate\"\n\nMore Information needed"
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4299deb1ab6aa43c277fb79d8da1c3e2e52a144b | # Dataset Card for "news_corpus_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hieule/news_corpus_v2 | [
"region:us"
] | 2022-12-07T04:59:58+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "sapo", "dtype": "string"}, {"name": "cates", "sequence": "string"}, {"name": "publish", "dtype": "timestamp[us]"}, {"name": "text_content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes":... | 2022-12-07T07:27:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "news_corpus_v2"
More Information needed | [
"# Dataset Card for \"news_corpus_v2\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"news_corpus_v2\"\n\nMore Information needed"
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96123958828d02684be0db371e5876c0bbe0f2de | # Dataset Card for "news-summary"
## Dataset Description
- **Homepage:** Kaggle Challenge
- **Repository:** https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset?select=True.csv
- **Paper:** N.A.
- **Leaderboard:** N.A.
- **Point of Contact:** N.A.
### Dataset Summary
Officially it was suppose... | argilla/news-summary | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | 2022-12-07T05:39:38+00:00 | {"language": ["en"], "license": ["cc-by-nc-4.0"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": ["news-articles-summarization"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "prediction", "list": [{"name": "score", "d... | 2023-03-16T09:36:12+00:00 | [] | [
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#task_categories-summarization #task_ids-news-articles-summarization #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #region-us
| # Dataset Card for "news-summary"
## Dataset Description
- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.
### Dataset Summary
Officially it was supposed to be used for classification but, can you use this data set to summarize news articles?
### Languages
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9eadedec22e78a74591874b01d1472d6a7f4a02a | # AutoTrain Dataset for project: enzydg
## Dataset Description
This dataset has been automatically processed by AutoTrain for project enzydg.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"i... | Shone/autotrain-data-enzydg | [
"region:us"
] | 2022-12-07T05:53:14+00:00 | {} | 2022-12-07T05:54:50+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: enzydg
=====================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project enzydg.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Data Ins... | [
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2d2d471b4fcbb11b3486bbc9ffef249db55d6b15 | # Dataset Card for "news-fakenews"
## Dataset Description
- **Homepage:** Kaggle Challenge
- **Repository:** https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset?select=True.csv
- **Paper:** N.A.
- **Leaderboard:** N.A.
- **Point of Contact:** N.A.
### Dataset Summary
Can you use this data set... | argilla/news-fakenews | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"region:us"
] | 2022-12-07T06:37:24+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"name": "text", "dtype": "string"}]}, {"name": "prediction", "list": [{"name": "label", "... | 2022-12-07T07:09:34+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #source_datasets-original #language-English #region-us
| # Dataset Card for "news-fakenews"
## Dataset Description
- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.
### Dataset Summary
Can you use this data set to make an algorithm able to determine if an article is fake news or not ?
### Languages
english
Ack... | [
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7e9e5c457c4a57965c113925d2d94cc885861821 | # Dataset Card for "olm-october-2022-tokenized-1024-exact-dedup-only"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/olm-october-2022-tokenized-1024-exact-dedup-only | [
"region:us"
] | 2022-12-07T07:01:16+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "special_tokens_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 81122930784.0, "num_examples": 13177864}], "download_size": 21799520270, "dataset_size": 81122930784.... | 2022-12-07T07:49:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "olm-october-2022-tokenized-1024-exact-dedup-only"
More Information needed | [
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2e8f1098ddeaca92b7300156a5a9395662992eda | # Dataset Card for "python-code-ds-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dipesh/python-code-ds-mini | [
"region:us"
] | 2022-12-07T07:07:26+00:00 | {"dataset_info": {"features": [{"name": "code", "dtype": "string"}, {"name": "code_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1455104.6452533905, "num_examples": 2521}, {"name": "validation", "num_bytes": 162191.35474660958, "num_examples": 281}], "download_size": 742200, "dataset_size": 161... | 2022-12-09T23:33:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "python-code-ds-mini"
More Information needed | [
"# Dataset Card for \"python-code-ds-mini\"\n\nMore Information needed"
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58103080018cf8568802b39651be1e008765d6d6 | # Dataset Card for "olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295-no-bigscience-filters"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295-no-bigscience-filters | [
"region:us"
] | 2022-12-07T07:11:06+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "crawl_timestamp", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 33670789930.82474, "num_examples": 16442332}], "download_size": 21113002013, "dataset_size": 33670789930.82474}} | 2022-12-07T07:36:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295-no-bigscience-filters"
More Information needed | [
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] |
15d1d222788d13a1db7f17992ad4bef5aff06dad | # Dataset Card for "Process_tested"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Shularp/Process_tested | [
"region:us"
] | 2022-12-07T08:18:22+00:00 | {"dataset_info": {"features": [{"name": "sentence_arb_Arab", "dtype": "string"}, {"name": "sentence_eng_Latn", "dtype": "string"}], "splits": [{"name": "dev", "num_bytes": 333842, "num_examples": 997}, {"name": "devtest", "num_bytes": 351455, "num_examples": 1012}], "download_size": 411360, "dataset_size": 685297}} | 2022-12-07T08:20:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Process_tested"
More Information needed | [
"# Dataset Card for \"Process_tested\"\n\nMore Information needed"
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5fbf1af3b9112e7ec74ca4fd94bf92fd9b8abaf0 | # Dataset Card for "Process_tested_02"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Shularp/Process_tested_02 | [
"region:us"
] | 2022-12-07T08:20:24+00:00 | {"dataset_info": {"features": [{"name": "translation", "struct": [{"name": "ar", "dtype": "string"}, {"name": "en", "dtype": "string"}]}, {"name": "id", "sequence": "int64"}], "splits": [{"name": "dev", "num_bytes": 361758, "num_examples": 997}], "download_size": 199462, "dataset_size": 361758}} | 2022-12-07T08:20:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Process_tested_02"
More Information needed | [
"# Dataset Card for \"Process_tested_02\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Process_tested_02\"\n\nMore Information needed"
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0f3e7aab79bf370979764275e3d12d74d8235bc6 | # Dataset Card for "medical-domain"
## Dataset Description
- **Homepage:** Kaggle Challenge
- **Repository:** https://www.kaggle.com/datasets/tboyle10/medicaltranscriptions
- **Paper:** N.A.
- **Leaderboard:** N.A.
- **Point of Contact:** N.A.
### Dataset Summary
Medical transcription data scraped from mtsamples.co... | argilla/medical-domain | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"region:us"
] | 2022-12-07T08:47:29+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "inputs", "struct": [{"name": "text", "dtype": "string"}]}, {"name": "prediction", "list": [{"name": "label", "... | 2022-12-07T11:57:58+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #source_datasets-original #language-English #region-us
| # Dataset Card for "medical-domain"
## Dataset Description
- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.
### Dataset Summary
Medical transcription data scraped from URL
Medical data is extremely hard to find due to HIPAA privacy regulations. This dataset o... | [
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1f2a465dcf1201ead498edc5051e35225b0c479c | # Dataset Card for "banking_sentiment_setfit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | argilla/banking_sentiment_setfit | [
"region:us"
] | 2022-12-07T09:03:18+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "neutral"}}}}], "splits": [{"name": "train", "num_bytes": 7433.25, "num_examples": 108}, {"name": "test", "num_bytes": 2477.75, "num_examples": 36}], "download_size": 8087, "da... | 2022-12-07T09:08:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "banking_sentiment_setfit"
More Information needed | [
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7bb3b21e604df9388b7525812d3f723ef9e677b3 | # AutoTrain Dataset for project: boolq
## Dataset Description
This dataset has been automatically processed by AutoTrain for project boolq.
### 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
[
{
"cont... | kn0w1dge/BoolQTrueFalse | [
"language:en",
"doi:10.57967/hf/0175",
"region:us"
] | 2022-12-07T09:29:37+00:00 | {"language": ["en"]} | 2022-12-07T09:34:15+00:00 | [] | [
"en"
] | TAGS
#language-English #doi-10.57967/hf/0175 #region-us
| AutoTrain Dataset for project: boolq
====================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project boolq.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
-----------------
### Data Instanc... | [
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d5578010787ddb0996fba9bc1b136ad011c590da | # Dataset Card for "Process_tested-facebook-flores"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Shularp/Process_tested-facebook-flores | [
"region:us"
] | 2022-12-07T09:43:46+00:00 | {"dataset_info": {"features": [{"name": "translation", "struct": [{"name": "ar", "dtype": "string"}, {"name": "en", "dtype": "string"}]}, {"name": "id", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 361758, "num_examples": 997}, {"name": "test", "num_bytes": 379791, "num_examples": 1012}], "download_... | 2022-12-07T10:09:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Process_tested-facebook-flores"
More Information needed | [
"# Dataset Card for \"Process_tested-facebook-flores\"\n\nMore Information needed"
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24f3995831700f0ee85092eb40f0a8d0be57d50c | # Dataset Card for "librispeech15k_augm_train-tiny"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CristianaLazar/librispeech15k_augm_train-tiny | [
"region:us"
] | 2022-12-07T09:51:40+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "chapter_id", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "input_features", "seq... | 2022-12-07T11:13:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "librispeech15k_augm_train-tiny"
More Information needed | [
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f25de9b018404f9cc708b6835a326d1c38b923a3 | # Dataset Card for "Process_tested-Shularp-Process_tested-facebook-floresarb_Arab_to_eng_Latn"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Shularp/Process_tested-Shularp-Process_tested-facebook-floresarb_Arab_to_eng_Latn | [
"region:us"
] | 2022-12-07T10:18:20+00:00 | {"dataset_info": {"features": [{"name": "translation", "struct": [{"name": "ar", "dtype": "string"}, {"name": "en", "dtype": "string"}]}, {"name": "id", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 361758, "num_examples": 997}, {"name": "test", "num_bytes": 379791, "num_examples": 1012}], "download_... | 2022-12-07T10:18:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Process_tested-Shularp-Process_tested-facebook-floresarb_Arab_to_eng_Latn"
More Information needed | [
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12141ed192361f8a2721aaae8c391b435a397365 | # Dataset Card for "news_commentary"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Shularp/news_commentary | [
"region:us"
] | 2022-12-07T10:29:05+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["ar", "en"]}}}], "splits": [{"name": "train", "num_bytes": 72589357.6306394, "num_examples": 74868}, {"name": "test", "num_bytes": 8065807.369360597, "num_examples": 8319}], "download_size":... | 2022-12-07T10:29:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "news_commentary"
More Information needed | [
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f61ed293f976a0b025b4004c06d41b12ecfd799c | About Dataset
This is a subset of the ArXiv dataset from Kaggle
https://www.kaggle.com/datasets/Cornell-University/arxiv
About ArXiv
For nearly 30 years, ArXiv has served the public and research communities by providing open access to scholarly articles, from the vast branches of physics to the many subdisciplines... | mwitiderrick/arXiv | [
"license:cc0-1.0",
"region:us"
] | 2022-12-07T10:30:20+00:00 | {"license": "cc0-1.0"} | 2022-12-07T10:46:56+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
| About Dataset
This is a subset of the ArXiv dataset from Kaggle
URL
About ArXiv
For nearly 30 years, ArXiv has served the public and research communities by providing open access to scholarly articles, from the vast branches of physics to the many subdisciplines of computer science to everything in between, includ... | [] | [
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d9f5eae4f7a61c89806edec33e450230b880091e | # Dataset Card for "un_multi-ar-en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Shularp/un_multi-ar-en | [
"region:us"
] | 2022-12-07T10:56:27+00:00 | {"dataset_info": {"features": [{"name": "translation", "dtype": {"translation": {"languages": ["ar", "en"]}}}], "splits": [{"name": "train", "num_bytes": 4189844561, "num_examples": 9759125}], "download_size": 1926773979, "dataset_size": 4189844561}} | 2022-12-07T11:00:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "un_multi-ar-en"
More Information needed | [
"# Dataset Card for \"un_multi-ar-en\"\n\nMore Information needed"
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11ab6c4fb880495f2e3ef4298b57e36cd0b2cfb5 | # Dataset Card for "medical-keywords"
## Dataset Description
- **Homepage:** Kaggle Challenge
- **Repository:** https://www.kaggle.com/datasets/tboyle10/medicaltranscriptions
- **Paper:** N.A.
- **Leaderboard:** N.A.
- **Point of Contact:** N.A.
### Dataset Summary
Medical transcription data scraped from mtsamples.... | argilla/medical-keywords | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"region:us"
] | 2022-12-07T11:49:17+00:00 | {"language": ["en"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["keyphrase-extraction", "named-entity-recognition"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "pr... | 2022-12-07T12:00:34+00:00 | [] | [
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#task_categories-token-classification #task_ids-named-entity-recognition #size_categories-100K<n<1M #source_datasets-original #language-English #region-us
| # Dataset Card for "medical-keywords"
## Dataset Description
- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.
### Dataset Summary
Medical transcription data scraped from URL
Medical data is extremely hard to find due to HIPAA privacy regulations. This dataset... | [
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660af60fe25551275f1f67914a152ed359e8b935 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewtun/minilm-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run n... | autoevaluate/autoeval-staging-eval-emotion-default-e0ea2e-17426357 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-12-07T12:27:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "lewtun/minilm-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": ... | 2022-12-07T12:27:54+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewtun/minilm-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Fa... | [
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782f20d6e116a526d592b5cf249d429dee73719f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewtun/sagemaker-distilbert-emotion
* Dataset: emotion
* Config: default
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: lewtun/sagemaker-distilbert-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Huggin... | [
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c16fc003e832c68a86ce8f451915f04ac3883817 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewiswatson/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
*... | autoevaluate/autoeval-staging-eval-emotion-default-e0ea2e-17426359 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: lewiswatson/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation ... | [
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3c96f3e1bb9fe73d0100d8680b5e84f6984c2186 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: autoevaluate/roberta-base-squad2
* Dataset: autoevaluate/squad-sample
* Config: autoevaluate--squad-sampl... | autoevaluate/autoeval-staging-eval-autoevaluate__squad-sample-autoevaluate__squad-sample-778ba0-17436361 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: autoevaluate/roberta-base-squad2
* Dataset: autoevaluate/squad-sample
* Config: autoevaluate--squad-sample
* Split: test
To run new evaluati... | [
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e617dfb7c33abc745d247e8155215edcf32b3a8d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: autoevaluate/extractive-question-answering
* Dataset: autoevaluate/squad-sample
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: autoevaluate/extractive-question-answering
* Dataset: autoevaluate/squad-sample
* Config: autoevaluate--squad-sample
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aa68f82199d3686be94fe56eb7097dc979573a6a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: autoevaluate/extractive-question-answering-not-evaluated
* Dataset: autoevaluate/squad-sample
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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41aef9650901fa2169213f38d49bd6491eb9b77a |
# CLUE-NER 命名实体识别数据集
字段说明
+ `text`: 文本
+ `entities`: 文本中包含的实体
+ `id`: 实体 `id`
+ `entity`: 实体对应的字符串
+ `start_offset`: 实体开始位置
+ `end_offset`: 实体结束位置的下一位
+ `label`: 实体对应的开始位置
| xusenlin/clue-ner | [
"language:zh",
"license:apache-2.0",
"named entity recognition",
"clue",
"region:us"
] | 2022-12-07T13:14:03+00:00 | {"language": ["zh"], "license": "apache-2.0", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "id", "dtype": "int64"}, {"name": "entity", "dtype": "string"}, {"name": "start_offset", "dtype": "int64"}, {"name": "end_offset", "dtype": "int64"}, {"name": "label", ... | 2022-12-07T14:22:37+00:00 | [] | [
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#language-Chinese #license-apache-2.0 #named entity recognition #clue #region-us
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# CLUE-NER 命名实体识别数据集
字段说明
+ 'text': 文本
+ 'entities': 文本中包含的实体
+ 'id': 实体 'id'
+ 'entity': 实体对应的字符串
+ 'start_offset': 实体开始位置
+ 'end_offset': 实体结束位置的下一位
+ 'label': 实体对应的开始位置
| [
"# CLUE-NER 命名实体识别数据集\n\n字段说明\n\n+ 'text': 文本\n\n+ 'entities': 文本中包含的实体\n\n + 'id': 实体 'id'\n\n + 'entity': 实体对应的字符串\n\n + 'start_offset': 实体开始位置\n\n + 'end_offset': 实体结束位置的下一位\n\n + 'label': 实体对应的开始位置"
] | [
"TAGS\n#language-Chinese #license-apache-2.0 #named entity recognition #clue #region-us \n",
"# CLUE-NER 命名实体识别数据集\n\n字段说明\n\n+ 'text': 文本\n\n+ 'entities': 文本中包含的实体\n\n + 'id': 实体 'id'\n\n + 'entity': 实体对应的字符串\n\n + 'start_offset': 实体开始位置\n\n + 'end_offset': 实体结束位置的下一位\n\n + 'label': 实体对应的开始位置"
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"passage: TAGS\n#language-Chinese #license-apache-2.0 #named entity recognition #clue #region-us \n# CLUE-NER 命名实体识别数据集\n\n字段说明\n\n+ 'text': 文本\n\n+ 'entities': 文本中包含的实体\n\n + 'id': 实体 'id'\n\n + 'entity': 实体对应的字符串\n\n + 'start_offset': 实体开始位置\n\n + 'end_offset': 实体结束位置的下一位\n\n + 'label': 实体对应的开始位置"
] |
f3208919bc8a6695b6612a77e990db4180c0b000 | # Dataset Card for "arxiv-pyserini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cakiki/arxiv-pyserini | [
"region:us"
] | 2022-12-07T13:27:11+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "submitter", "dtype": "string"}, {"name": "authors", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "comments", "dtype": "string"}, {"name": "journal-ref", "dtype": "string"}, {"name": "doi", "dtype": "string"}, {"name": "rep... | 2022-12-07T15:31:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "arxiv-pyserini"
More Information needed | [
"# Dataset Card for \"arxiv-pyserini\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"arxiv-pyserini\"\n\nMore Information needed"
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6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"arxiv-pyserini\"\n\nMore Information needed"
] |
9bbf3992d70b4282f5f98b09b56bc43160fe45ed | # Dataset Card for "small-oscar-dedup"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ola13/small-oscar-dedup | [
"region:us"
] | 2022-12-07T13:44:16+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "domain", "dtype": "string"}, {"name": "perplexity", "dtype": "float64"}, {"name": "dup_ratio", "dtype": "float64"}, {"name": "pairs", "sequence": {"sequence": "int64"}}, {"... | 2022-12-07T15:48:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "small-oscar-dedup"
More Information needed | [
"# Dataset Card for \"small-oscar-dedup\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"small-oscar-dedup\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"small-oscar-dedup\"\n\nMore Information needed"
] |
870af1f0f8f400666648265478d86b6dd1524bbb | # Dataset Card for "small-oscar-repetitions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ola13/small-oscar-repetitions | [
"region:us"
] | 2022-12-07T13:44:34+00:00 | {"dataset_info": {"features": [{"name": "repetition", "dtype": "binary"}, {"name": "ids", "sequence": "int64"}, {"name": "num_docs", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 55598378, "num_examples": 166667}], "download_size": 0, "dataset_size": 55598378}} | 2022-12-07T15:49:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "small-oscar-repetitions"
More Information needed | [
"# Dataset Card for \"small-oscar-repetitions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"small-oscar-repetitions\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"small-oscar-repetitions\"\n\nMore Information needed"
] |
05c3d12fab6ce69c72e9288a0fee86c021e40f71 | # Dataset Card for "olm-october-2022-tokenized-1024-no-bigscience-filters"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/olm-october-2022-tokenized-1024-no-bigscience-filters | [
"region:us"
] | 2022-12-07T14:01:41+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "special_tokens_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 79176169656.0, "num_examples": 12861626}], "download_size": 21440888036, "dataset_size": 79176169656.... | 2022-12-07T14:49:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "olm-october-2022-tokenized-1024-no-bigscience-filters"
More Information needed | [
"# Dataset Card for \"olm-october-2022-tokenized-1024-no-bigscience-filters\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"olm-october-2022-tokenized-1024-no-bigscience-filters\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"olm-october-2022-tokenized-1024-no-bigscience-filters\"\n\nMore Information needed"
] |
7b405c185b5d8ce3bc0d74767e2c9107cc69a58a |
# CMeEE 中文医学命名实体识别数据集
字段说明
+ `text`: 文本
+ `entities`: 文本中包含的实体
+ `id`: 实体 `id`
+ `entity`: 实体对应的字符串
+ `start_offset`: 实体开始位置
+ `end_offset`: 实体结束位置的下一位
+ `label`: 实体对应的开始位置
| xusenlin/cmeee | [
"region:us"
] | 2022-12-07T14:16:08+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "id", "dtype": "int64"}, {"name": "entity", "dtype": "string"}, {"name": "start_offset", "dtype": "int64"}, {"name": "end_offset", "dtype": "int64"}, {"name": "label", "dtype": "string"}]}], "splits": [{"name": "t... | 2022-12-07T14:24:00+00:00 | [] | [] | TAGS
#region-us
|
# CMeEE 中文医学命名实体识别数据集
字段说明
+ 'text': 文本
+ 'entities': 文本中包含的实体
+ 'id': 实体 'id'
+ 'entity': 实体对应的字符串
+ 'start_offset': 实体开始位置
+ 'end_offset': 实体结束位置的下一位
+ 'label': 实体对应的开始位置
| [
"# CMeEE 中文医学命名实体识别数据集\n\n字段说明\n\n+ 'text': 文本\n\n+ 'entities': 文本中包含的实体\n\n + 'id': 实体 'id'\n\n + 'entity': 实体对应的字符串\n\n + 'start_offset': 实体开始位置\n\n + 'end_offset': 实体结束位置的下一位\n\n + 'label': 实体对应的开始位置"
] | [
"TAGS\n#region-us \n",
"# CMeEE 中文医学命名实体识别数据集\n\n字段说明\n\n+ 'text': 文本\n\n+ 'entities': 文本中包含的实体\n\n + 'id': 实体 'id'\n\n + 'entity': 实体对应的字符串\n\n + 'start_offset': 实体开始位置\n\n + 'end_offset': 实体结束位置的下一位\n\n + 'label': 实体对应的开始位置"
] | [
6,
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"passage: TAGS\n#region-us \n# CMeEE 中文医学命名实体识别数据集\n\n字段说明\n\n+ 'text': 文本\n\n+ 'entities': 文本中包含的实体\n\n + 'id': 实体 'id'\n\n + 'entity': 实体对应的字符串\n\n + 'start_offset': 实体开始位置\n\n + 'end_offset': 实体结束位置的下一位\n\n + 'label': 实体对应的开始位置"
] |
0b87dc36a9332970a119ee6d719c0729b1ced900 | # 人民日报命名实体识别数据集
字段说明
+ `text`: 文本
+ `entities`: 文本中包含的实体
+ `id`: 实体 `id`
+ `entity`: 实体对应的字符串
+ `start_offset`: 实体开始位置
+ `end_offset`: 实体结束位置的下一位
+ `label`: 实体对应的开始位置
| xusenlin/people-daily-ner | [
"region:us"
] | 2022-12-07T14:28:09+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "id", "dtype": "int64"}, {"name": "entity", "dtype": "string"}, {"name": "start_offset", "dtype": "int64"}, {"name": "end_offset", "dtype": "int64"}, {"name": "label", "dtype": "string"}]}], "splits": [{"name": "t... | 2022-12-07T14:31:42+00:00 | [] | [] | TAGS
#region-us
| # 人民日报命名实体识别数据集
字段说明
+ 'text': 文本
+ 'entities': 文本中包含的实体
+ 'id': 实体 'id'
+ 'entity': 实体对应的字符串
+ 'start_offset': 实体开始位置
+ 'end_offset': 实体结束位置的下一位
+ 'label': 实体对应的开始位置
| [
"# 人民日报命名实体识别数据集\n\n字段说明\n\n+ 'text': 文本\n\n+ 'entities': 文本中包含的实体\n\n + 'id': 实体 'id'\n\n + 'entity': 实体对应的字符串\n\n + 'start_offset': 实体开始位置\n\n + 'end_offset': 实体结束位置的下一位\n\n + 'label': 实体对应的开始位置"
] | [
"TAGS\n#region-us \n",
"# 人民日报命名实体识别数据集\n\n字段说明\n\n+ 'text': 文本\n\n+ 'entities': 文本中包含的实体\n\n + 'id': 实体 'id'\n\n + 'entity': 实体对应的字符串\n\n + 'start_offset': 实体开始位置\n\n + 'end_offset': 实体结束位置的下一位\n\n + 'label': 实体对应的开始位置"
] | [
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"passage: TAGS\n#region-us \n# 人民日报命名实体识别数据集\n\n字段说明\n\n+ 'text': 文本\n\n+ 'entities': 文本中包含的实体\n\n + 'id': 实体 'id'\n\n + 'entity': 实体对应的字符串\n\n + 'start_offset': 实体开始位置\n\n + 'end_offset': 实体结束位置的下一位\n\n + 'label': 实体对应的开始位置"
] |
2efa75f1087ac76dc82534a615a9467b0e9b9d8e | # DuIE 关系抽取数据集
字段说明
+ `text`: 文本
+ `spo_list`: 文本中包含的关系三元组
+ `subject`: 头实体（主语）
+ `subject_type`: 头实体（主语）的类型
+ `object`: 尾实体（主语）
+ `object_type`: 尾实体（主语）的类型
+ `predicate`: 关系
| xusenlin/duie | [
"region:us"
] | 2022-12-07T14:41:25+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "spo_list", "list": [{"name": "predicate", "dtype": "string"}, {"name": "object_type", "dtype": "string"}, {"name": "subject_type", "dtype": "string"}, {"name": "object", "dtype": "string"}, {"name": "subject", "dtype": "string"}]}], "splits":... | 2022-12-07T14:49:54+00:00 | [] | [] | TAGS
#region-us
| # DuIE 关系抽取数据集
字段说明
+ 'text': 文本
+ 'spo_list': 文本中包含的关系三元组
+ 'subject': 头实体（主语）
+ 'subject_type': 头实体（主语）的类型
+ 'object': 尾实体（主语）
+ 'object_type': 尾实体（主语）的类型
+ 'predicate': 关系
| [
"# DuIE 关系抽取数据集\n\n字段说明\n\n+ 'text': 文本\n\n+ 'spo_list': 文本中包含的关系三元组\n\n + 'subject': 头实体（主语）\n\n + 'subject_type': 头实体（主语）的类型\n\n + 'object': 尾实体（主语）\n\n + 'object_type': 尾实体（主语）的类型\n\n + 'predicate': 关系"
] | [
"TAGS\n#region-us \n",
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] |
f124af73444fb36f19a8c4cab2436c2079d61a94 | # Dataset Card for "banking_with_vectors"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dvilasuero/banking_with_vectors | [
"region:us"
] | 2022-12-07T14:52:52+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "activate_my_card", "1": "age_limit", "2": "apple_pay_or_google_pay", "3": "atm_support", "4": "automatic_top_up", "5": "balance_not_updated_after_bank_transfer", "6": "balance_not_updated_afte... | 2022-12-07T14:53:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "banking_with_vectors"
More Information needed | [
"# Dataset Card for \"banking_with_vectors\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"banking_with_vectors\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"banking_with_vectors\"\n\nMore Information needed"
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a37e2f0d19c749948fd7e0a090936832a3dae865 | # Dataset Card for "banking77_vectors"
Install `pip install fast-sentence-transformers`
```python
from fast_sentence_transformers import FastSentenceTransformer as SentenceTransformer
from datasets import load_dataset
# use any sentence-transformer
encoder = SentenceTransformer("all-MiniLM-L6-v2", device="cpu")
data... | dvilasuero/banking77_vectors | [
"region:us"
] | 2022-12-07T14:54:00+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "activate_my_card", "1": "age_limit", "2": "apple_pay_or_google_pay", "3": "atm_support", "4": "automatic_top_up", "5": "balance_not_updated_after_bank_transfer", "6": "balance_not_updated_afte... | 2022-12-07T14:56:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "banking77_vectors"
Install 'pip install fast-sentence-transformers'
More Information needed | [
"# Dataset Card for \"banking77_vectors\"\n\n\nInstall 'pip install fast-sentence-transformers'\n\n\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"banking77_vectors\"\n\n\nInstall 'pip install fast-sentence-transformers'\n\n\n\nMore Information needed"
] |
f2e1c4c7628e20d6919b9192a7cd8f576c3a0603 |
Each line includes one example, represented as a JSON object. The critical fields are:
sentence: The natural language sentence describing the pair of images for this example.\
left_url: The URL of the left image in the pair.\
right_url: The URL of the right image in the pair.\
label: The label: true or false.\
identi... | HuggingFaceM4/NLVR2 | [
"license:cc-by-4.0",
"region:us"
] | 2022-12-07T15:44:41+00:00 | {"license": "cc-by-4.0"} | 2022-12-21T15:45:19+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
Each line includes one example, represented as a JSON object. The critical fields are:
sentence: The natural language sentence describing the pair of images for this example.\
left_url: The URL of the left image in the pair.\
right_url: The URL of the right image in the pair.\
label: The label: true or false.\
identi... | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
] |
50836aef3cb9e4b7a4b040ece9eabe1f71ca4f39 | # Dataset Card for "testcocotrade"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | davanstrien/testcocotrade | [
"region:us"
] | 2022-12-07T16:02:52+00:00 | {"dataset_info": {"features": [{"name": "image_id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "width", "dtype": "int32"}, {"name": "height", "dtype": "int32"}, {"name": "objects", "list": [{"name": "category_id", "dtype": {"class_label": {"names": {"0": "Image", "1": "Main heading (CAPS)", "2": "... | 2022-12-07T16:03:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "testcocotrade"
More Information needed | [
"# Dataset Card for \"testcocotrade\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"testcocotrade\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"testcocotrade\"\n\nMore Information needed"
] |
ec1b0fb9b9b7741fb241f4379ff6d2be4d1fbf6c |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | parambharat/tamil_asr_corpus | [
"task_categories:automatic-speech-recognition",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|common_voice",
"source_datasets:extended|openslr",
"language:ta",
"license:cc-by-4.0",
"region:us"
] | 2022-12-07T16:36:05+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["ta"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|common_voice", "extended|openslr"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "... | 2022-12-07T17:32:59+00:00 | [] | [
"ta"
] | TAGS
#task_categories-automatic-speech-recognition #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|common_voice #source_datasets-extended|openslr #language-Tamil #license-cc-by-4.0 #region-us
|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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20b5dcbdbc4776c1412131c0b06b319eac97ef8b | # Dataset Card for NKJP1M – The manually annotated subcorpus of the National Corpus of Polish
## 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)
... | ipipan/nkjp1m | [
"task_categories:token-classification",
"task_ids:part-of-speech",
"task_ids:lemmatization",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:pl",
"license:cc-by-4.0",
... | 2022-12-07T16:41:20+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["pl"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["part-of-speech", "lem... | 2022-12-07T16:47:51+00:00 | [] | [
"pl"
] | TAGS
#task_categories-token-classification #task_ids-part-of-speech #task_ids-lemmatization #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Polish #license-cc-by-4.0 #National Corpus of Polish #Narodo... | Dataset Card for NKJP1M – The manually annotated subcorpus of the National Corpus of Polish
===========================================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards... | [
"### Dataset Summary\n\n\nThis is the official dataset for NKJP1M – the 1-million token balanced subcorpus of the National Corpus of Polish (Narodowy Korpus Języka Polskiego)\n\n\nBesides the text (divided into paragraphs/samples and sentences) the set contains lemmas and morpho-syntactic tags for all tokens in the... | [
"TAGS\n#task_categories-token-classification #task_ids-part-of-speech #task_ids-lemmatization #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Polish #license-cc-by-4.0 #National Corpus of Polish #... | [
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"passage: TAGS\n#task_categories-token-classification #task_ids-part-of-speech #task_ids-lemmatization #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Polish #license-cc-by-4.0 #National Corpus of... |
a09f12672eb54455d73f6c4dd23f728900100cf7 | # Dataset Card for "fa-paraphrase"
This dataset contains over 1.1 million rows. Each row contains a pair of Farsi sentences which are a paraphrase of each other. The datasets used to create this dataset can be found here:
* [tapaco](https://huggingface.co/datasets/tapaco)
* [kaggle](https://www.kaggle.com/datasets/ar... | alighasemi/fa-paraphrase | [
"region:us"
] | 2022-12-07T17:13:10+00:00 | {"Tasks": ["Text2Text Generation"], "Fine-Grained Tasks": ["paraphrase", "query-paraphrasing"], "Languages": ["Persian"], "Multilinguality": ["monolingual", "fa", "fa-IR"], "Sizes": ["n>1M"], "dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}], "splits": [{"... | 2022-12-07T17:33:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fa-paraphrase"
This dataset contains over 1.1 million rows. Each row contains a pair of Farsi sentences which are a paraphrase of each other. The datasets used to create this dataset can be found here:
* tapaco
* kaggle
More Information needed | [
"# Dataset Card for \"fa-paraphrase\"\n\nThis dataset contains over 1.1 million rows. Each row contains a pair of Farsi sentences which are a paraphrase of each other. The datasets used to create this dataset can be found here:\n\n* tapaco\n* kaggle\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"fa-paraphrase\"\n\nThis dataset contains over 1.1 million rows. Each row contains a pair of Farsi sentences which are a paraphrase of each other. The datasets used to create this dataset can be found here:\n\n* tapaco\n* kaggle\n\nMore Information needed"
] | [
6,
70
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"passage: TAGS\n#region-us \n# Dataset Card for \"fa-paraphrase\"\n\nThis dataset contains over 1.1 million rows. Each row contains a pair of Farsi sentences which are a paraphrase of each other. The datasets used to create this dataset can be found here:\n\n* tapaco\n* kaggle\n\nMore Information needed"
] |
e9c5fce8b29f5d64e1ee45ce9222b1269ac6e729 | # Dataset Card for "medmcqa_age_gender_custom"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | society-ethics/medmcqa_age_gender_custom | [
"region:us"
] | 2022-12-07T18:29:43+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "opa", "dtype": "string"}, {"name": "opb", "dtype": "string"}, {"name": "opc", "dtype": "string"}, {"name": "opd", "dtype": "string"}, {"name": "cop", "dtype": {"class_label": {"names": {"0": "a", "1": "b... | 2022-12-07T18:30:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "medmcqa_age_gender_custom"
More Information needed | [
"# Dataset Card for \"medmcqa_age_gender_custom\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"medmcqa_age_gender_custom\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"medmcqa_age_gender_custom\"\n\nMore Information needed"
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620b1279d40e6081d8f782318268dc082b9c945b | # Dataset Card for "olm-bookcorpus-tokenized-1024"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/olm-bookcorpus-tokenized-1024 | [
"region:us"
] | 2022-12-07T19:28:08+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "special_tokens_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 8534733804.0, "num_examples": 1386409}], "download_size": 2291578601, "dataset_size": 8534733804.0}} | 2022-12-07T19:33:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "olm-bookcorpus-tokenized-1024"
More Information needed | [
"# Dataset Card for \"olm-bookcorpus-tokenized-1024\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"olm-bookcorpus-tokenized-1024\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"olm-bookcorpus-tokenized-1024\"\n\nMore Information needed"
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