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28d96b7006c4e33958131a36639d15010453acbb | # Dataset Card for "moneybag"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Aehus/moneybag | [
"region:us"
] | 2023-06-21T17:43:58+00:00 | {"dataset_info": {"features": [{"name": "new_input", "dtype": "string"}, {"name": "new_output", "dtype": "string"}, {"name": "new_instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9154, "num_examples": 10}], "download_size": 0, "dataset_size": 9154}} | 2023-06-29T06:32:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "moneybag"
More Information needed | [
"# Dataset Card for \"moneybag\"\n\nMore Information needed"
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3f71b5c462d07bf0fb846f42305033e102125aec | # Dataset Card for A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering
Note: this is for SARA v1, for SARA v2 please see https://nlp.jhu.edu/law/ (will be on Huggingface soon!)
## Dataset Description
- **Repository:** [https://nlp.jhu.edu/law/](https://nlp.jhu.edu/law/)
- **Paper:** [https... | jhu-clsp/SARA | [
"size_categories:n<1K",
"language:en",
"legal",
"tax",
"nli",
"qa",
"region:us"
] | 2023-06-21T18:06:45+00:00 | {"language": ["en"], "size_categories": ["n<1K"], "pretty_name": "SARA", "tags": ["legal", "tax", "nli", "qa"]} | 2023-06-24T13:13:13+00:00 | [] | [
"en"
] | TAGS
#size_categories-n<1K #language-English #legal #tax #nli #qa #region-us
| # Dataset Card for A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering
Note: this is for SARA v1, for SARA v2 please see URL (will be on Huggingface soon!)
## Dataset Description
- Repository: URL
- Paper: URL
- Point of Contact: nils.holzenberger@URL
## Dataset Summary
If you use this ... | [
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1608ad98add8e0a4be4cf1e8c93e9b2c4bd6945d | # Dataset Card for "transfer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hts98/transfer | [
"region:us"
] | 2023-06-21T18:13:07+00:00 | {"dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 3288601960, "num_examples": 3420}, {"name": "test", "num_bytes": 823118568, "num_examples": 856}], "download_size": 3268835396, "dataset_siz... | 2023-06-21T18:16:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "transfer"
More Information needed | [
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e650cfb9d9c0828e9a7f324945bacccd0aef9813 |
### Acknowledgements
The PUZZLEQA is scraped from [NPR Sunday Puzzle Official Website](https://www.npr.org/series/4473090/sunday-puzzle) and [NPR Puzzle Synopsis](https://groups.google.com/g/nprpuzzle),
made by a group of fans by running a mailing list that distributed questions and answers for each week’s puzzle.
Th... | Jingmiao/PUZZLEQA | [
"language:en",
"license:apache-2.0",
"arxiv:2306.12255",
"region:us"
] | 2023-06-21T19:19:40+00:00 | {"language": ["en"], "license": "apache-2.0"} | 2023-06-28T01:56:19+00:00 | [
"2306.12255"
] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #arxiv-2306.12255 #region-us
|
### Acknowledgements
The PUZZLEQA is scraped from NPR Sunday Puzzle Official Website and NPR Puzzle Synopsis,
made by a group of fans by running a mailing list that distributed questions and answers for each week’s puzzle.
The authors of the dataset cleaned the data and made some multiple choice based on the question... | [
"### Acknowledgements\nThe PUZZLEQA is scraped from NPR Sunday Puzzle Official Website and NPR Puzzle Synopsis, \nmade by a group of fans by running a mailing list that distributed questions and answers for each week’s puzzle.\nThe authors of the dataset cleaned the data and made some multiple choice based on the q... | [
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4c5319bd57a39c6f94ccd4dad0c665d65a2a4011 | # Dataset Card for "viton_hd"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | forgeml/viton_hd | [
"region:us"
] | 2023-06-21T20:05:53+00:00 | {"dataset_info": {"features": [{"name": "cloth", "dtype": "image"}, {"name": "cloth_mask", "dtype": "image"}, {"name": "image", "dtype": "image"}, {"name": "pose", "dtype": "image"}, {"name": "agnostic", "dtype": "image"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3665304052.189... | 2023-06-22T18:47:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "viton_hd"
More Information needed | [
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09388ce135aa12a67f9d333c7545d44a89f1cf44 |
# DaNE+
This is a version of [DaNE](https://huggingface.co/datasets/dane), where the original NER labels have been updated to follow the ontonotes annotation scheme. The annotation process used the model trained on the Danish dataset [DANSK](https://huggingface.co/datasets/chcaa/DANSK) for the first round of annotati... | KennethEnevoldsen/dane_plus | [
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"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:dane",
"... | 2023-06-21T20:35:27+00:00 | {"annotations_creators": ["expert-generated", "machine-generated"], "language_creators": ["found"], "language": ["da"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["dane", "extended|other-Danish-Universal-Dependencies-treebank", "DANSK"], "task_c... | 2023-06-21T20:53:54+00:00 | [] | [
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# DaNE+
This is a version of DaNE, where the original NER labels have been updated to follow the ontonotes annotation scheme. The annotation process used the model trained on the Danish dataset DANSK for the first round of annotation and then all the discrepancies were manually reviewed and corrected by Kenneth C. En... | [
"# DaNE+\n\nThis is a version of DaNE, where the original NER labels have been updated to follow the ontonotes annotation scheme. The annotation process used the model trained on the Danish dataset DANSK for the first round of annotation and then all the discrepancies were manually reviewed and corrected by Kenneth... | [
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e18a86757832d6d793a7064e94cd4f45bc11ac2e |
## Dataset Description
- **Point of Contact:** [Sean Welleck](https://wellecks.com/)
# miniF2F+informal in Isabelle
[MiniF2F](https://arxiv.org/abs/2109.00110) is a formal mathematics benchmark (translated across multiple formal systems) consisting of
exercise statements from olympiads (AMC, AIME, IMO) as well as hi... | wellecks/minif2f_isabelle | [
"license:mit",
"math",
"theorem-proving",
"arxiv:2109.00110",
"region:us"
] | 2023-06-21T20:41:05+00:00 | {"license": "mit", "tags": ["math", "theorem-proving"]} | 2023-07-03T18:46:10+00:00 | [
"2109.00110"
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#license-mit #math #theorem-proving #arxiv-2109.00110 #region-us
|
## Dataset Description
- Point of Contact: Sean Welleck
# miniF2F+informal in Isabelle
MiniF2F is a formal mathematics benchmark (translated across multiple formal systems) consisting of
exercise statements from olympiads (AMC, AIME, IMO) as well as high-school and undergraduate maths
classes.
This dataset contains... | [
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fe7b3981bfb9042bd47ae2006a2c02b2bddcca73 | # Dataset Card for "Accel2ActivityCrawl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | alexshengzhili/Accel2ActivityCrawl | [
"region:us"
] | 2023-06-21T21:25:14+00:00 | {"dataset_info": {"features": [{"name": "x", "dtype": {"array2_d": {"shape": [3], "dtype": "float32"}}}, {"name": "pid", "dtype": "string"}, {"name": "y", "dtype": "string"}], "splits": [{"name": "realworld", "num_bytes": 60005114, "num_examples": 12446}, {"name": "wisdm", "num_bytes": 135013789, "num_examples": 27996}... | 2023-07-04T15:14:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Accel2ActivityCrawl"
More Information needed | [
"# Dataset Card for \"Accel2ActivityCrawl\"\n\nMore Information needed"
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"# Dataset Card for \"Accel2ActivityCrawl\"\n\nMore Information needed"
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25dcc8f422b0878fe6a56229e70fe55318c9289a | # Dataset Card for "test-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bhlim/test-dataset | [
"region:us"
] | 2023-06-21T21:48:27+00:00 | {"dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "cik", "dtype": "string"}, {"name": "year", "dtype": "string"}, {"name": "section_1", "dtype": "string"}, {"name": "section_1A", "dtype": "string"}, {"name": "section_1B", "dtype": "string"}, {"name": "section_2", "dtype": "string"}, {"nam... | 2023-06-23T14:49:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test-dataset"
More Information needed | [
"# Dataset Card for \"test-dataset\"\n\nMore Information needed"
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bb0046abca0d8397c33e72c663dd6dd090489486 | # Dataset Card for "gsm8k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rookshanks/gsm8k | [
"region:us"
] | 2023-06-21T21:53:41+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3566510.564699585, "num_examples": 6725}, {"name": "test", "num_bytes": 713732, "num_examples": 1319}, {"name": "validation", "num_bytes": 396691.4353004148, "num_exa... | 2023-06-21T21:55:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gsm8k"
More Information needed | [
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a0f9233abce0cf6978774e03a0db962dc85dd076 | # Dataset Card for "crash_course_subs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | P1ayer-1/crash_course_subs | [
"region:us"
] | 2023-06-21T22:21:06+00:00 | {"dataset_info": {"features": [{"name": "channel_id", "dtype": "string"}, {"name": "channel_url", "dtype": "string"}, {"name": "video_name", "dtype": "string"}, {"name": "video_id", "dtype": "string"}, {"name": "duration", "dtype": "int64"}, {"name": "chapters", "list": [{"name": "start_time", "dtype": "float64"}, {"na... | 2023-06-21T22:21:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "crash_course_subs"
More Information needed | [
"# Dataset Card for \"crash_course_subs\"\n\nMore Information needed"
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6c701e8a95d1ae3cb906497cf27e9ff5d9bb3f40 |
This is the registry of models in the WSInfer Model Zoo.
See https://wsinfer.readthedocs.io/en/latest/ and https://github.com/SBU-BMI/wsinfer-zoo for more information.
| kaczmarj/wsinfer-model-zoo-json | [
"license:cc-by-4.0",
"region:us"
] | 2023-06-21T23:15:52+00:00 | {"license": "cc-by-4.0", "pretty_name": "WSInfer Model Zoo Registry"} | 2024-01-13T02:58:27+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
This is the registry of models in the WSInfer Model Zoo.
See URL and URL for more information.
| [] | [
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15
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ecc6017e53b797793f5b8b7a8328276682f7f0ef | # AutoTrain Dataset for project: twitter-goemotions-binary-fear-classification
## Dataset Description
This dataset has been automatically processed by AutoTrain for project twitter-goemotions-binary-fear-classification.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data... | garrettbaber/twitter-roberta-goemotions-binary-fear-classification | [
"task_categories:text-classification",
"region:us"
] | 2023-06-21T23:16:43+00:00 | {"task_categories": ["text-classification"]} | 2023-06-21T23:51:22+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: twitter-goemotions-binary-fear-classification
============================================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project twitter-goemotions-binary-fear-classification.
##... | [
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1f3efd7a2930c71721d43fd14a01a481b0279be3 | # Dataset Card for "5_levels_subs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | P1ayer-1/5_levels_subs | [
"region:us"
] | 2023-06-21T23:20:53+00:00 | {"dataset_info": {"features": [{"name": "channel_id", "dtype": "string"}, {"name": "channel_url", "dtype": "string"}, {"name": "video_name", "dtype": "string"}, {"name": "video_id", "dtype": "string"}, {"name": "duration", "dtype": "int64"}, {"name": "chapters", "list": [{"name": "end_time", "dtype": "float64"}, {"name... | 2023-06-21T23:20:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "5_levels_subs"
More Information needed | [
"# Dataset Card for \"5_levels_subs\"\n\nMore Information needed"
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582748dfe856d72518e6ed77b85e673fcd2a3679 | # Dataset Card for "vungoi_question_type1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vietgpt/vungoi_question_type1 | [
"region:us"
] | 2023-06-22T00:40:20+00:00 | {"dataset_info": {"features": [{"name": "metadata", "struct": [{"name": "chapter", "dtype": "string"}, {"name": "difficult_degree", "dtype": "int64"}, {"name": "grade", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "subject", "dtype": "string"}]}, {"name": "question"... | 2023-06-22T13:06:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vungoi_question_type1"
More Information needed | [
"# Dataset Card for \"vungoi_question_type1\"\n\nMore Information needed"
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7baf5fc23e98cb364176b3c049f85698553a2838 | # Dataset Card for "DotCHA-100k-2D"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AlekseyKorshuk/DotCHA-100k-2D | [
"region:us"
] | 2023-06-22T01:41:19+00:00 | {"dataset_info": {"features": [{"name": "0", "dtype": "string"}, {"name": "1", "dtype": "string"}, {"name": "letter", "sequence": "int64"}, {"name": "buckets", "sequence": {"sequence": {"sequence": "float64"}}}], "splits": [{"name": "train", "num_bytes": 4351176493, "num_examples": 100000}], "download_size": 2830430898... | 2023-06-23T04:04:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DotCHA-100k-2D"
More Information needed | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"DotCHA-100k-2D\"\n\nMore Information needed"
] |
2828d29cc345f730644462b1dad6647b8a625f39 | # Dataset Card for "obelisc_23k_tr_190_01_64n_opt_step-34000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | VictorSanh/obelisc_23k_tr_190_01_64n_opt_step-34000 | [
"region:us"
] | 2023-06-22T02:14:18+00:00 | {"dataset_info": {"features": [{"name": "images", "list": "image"}, {"name": "texts", "list": "string"}, {"name": "key", "dtype": "string"}, {"name": "loss", "dtype": "float32"}, {"name": "embedding", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 5297605360.0, "num_examples": 24000}], "download_siz... | 2023-06-22T02:21:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "obelisc_23k_tr_190_01_64n_opt_step-34000"
More Information needed | [
"# Dataset Card for \"obelisc_23k_tr_190_01_64n_opt_step-34000\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"obelisc_23k_tr_190_01_64n_opt_step-34000\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"obelisc_23k_tr_190_01_64n_opt_step-34000\"\n\nMore Information needed"
] |
e14f3799cb23f24707855ea0136858f25c0dbe65 | Siesta from **Zero no Tsukaima/The Familiar of Zero**
- Works the best with ALL, MIDD, OUTD, and OUTALL LoRA weight blocks.
- Use 0.8 -1.0 weights. | Cheetor1996/Siesta_zero_no_tsukaima_V2 | [
"language:en",
"license:cc-by-2.0",
"art",
"region:us"
] | 2023-06-22T02:43:58+00:00 | {"language": ["en"], "license": "cc-by-2.0", "tags": ["art"]} | 2023-06-22T02:46:45+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-2.0 #art #region-us
| Siesta from Zero no Tsukaima/The Familiar of Zero
- Works the best with ALL, MIDD, OUTD, and OUTALL LoRA weight blocks.
- Use 0.8 -1.0 weights. | [] | [
"TAGS\n#language-English #license-cc-by-2.0 #art #region-us \n"
] | [
21
] | [
"passage: TAGS\n#language-English #license-cc-by-2.0 #art #region-us \n"
] |
78dff41b1df3f256b69465d3484f07161fec2bca |
The hindsight-neglect task from the [Inverse Scaling Prize](https://github.com/inverse-scaling/prize) | jmichaelov/inverse_scaling_prize-hindsight_neglect | [
"task_categories:multiple-choice",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-06-22T03:22:43+00:00 | {"language": ["en"], "license": "cc-by-4.0", "task_categories": ["multiple-choice"], "pretty_name": "Hindsight Neglect"} | 2023-08-23T04:37:56+00:00 | [] | [
"en"
] | TAGS
#task_categories-multiple-choice #language-English #license-cc-by-4.0 #region-us
|
The hindsight-neglect task from the Inverse Scaling Prize | [] | [
"TAGS\n#task_categories-multiple-choice #language-English #license-cc-by-4.0 #region-us \n"
] | [
31
] | [
"passage: TAGS\n#task_categories-multiple-choice #language-English #license-cc-by-4.0 #region-us \n"
] |
982b4131ca8283ecb0c23d9097ce31021e76b22a | # Dataset Card for "vungoi_question_type1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vietgpt-archive/vungoi_question_type1 | [
"region:us"
] | 2023-06-22T03:32:25+00:00 | {"dataset_info": {"features": [{"name": "question_raw", "dtype": "string"}, {"name": "options_raw", "list": [{"name": "answer_raw", "dtype": "string"}, {"name": "key", "dtype": "string"}]}, {"name": "answer_raw", "struct": [{"name": "answer_raw", "dtype": "string"}, {"name": "key", "dtype": "string"}]}, {"name": "solut... | 2023-06-22T03:32:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vungoi_question_type1"
More Information needed | [
"# Dataset Card for \"vungoi_question_type1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"vungoi_question_type1\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"vungoi_question_type1\"\n\nMore Information needed"
] |
529e10d44fc3e82fef7081f63b9a355c7d139ffb | # Dataset Card for "vicuna-v0-chatml"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AlekseyKorshuk/vicuna-v0-chatml | [
"region:us"
] | 2023-06-22T03:59:35+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "conversation", "list": [{"name": "content", "dtype": "string"}, {"name": "do_train", "dtype": "bool"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 1125413655.0, "num_examples": 268680}], "download_size"... | 2023-06-22T04:00:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vicuna-v0-chatml"
More Information needed | [
"# Dataset Card for \"vicuna-v0-chatml\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"vicuna-v0-chatml\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"vicuna-v0-chatml\"\n\nMore Information needed"
] |
2eb53a5726b26846e715b453df7a7f9f0287f0dd | The dataset features/columns here are almost similar to the original github instruction (please read the github documentation first to understand the dataset): https://github.com/upeee/GOO-GAZE2021/blob/main/dataset/goosynth-download.txt
To download goosynthtrain in huggingface, run the code below (https://huggingface... | markytools/goosyntheticv3 | [
"region:us"
] | 2023-06-22T04:14:13+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "split", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "bboxes", "dtype": "string"}, {"name": "labels", "dtype": "string"}, {"name": "cab", "dtype": "int64"}, {"name": "hum", "dtype": "... | 2023-06-25T00:19:55+00:00 | [] | [] | TAGS
#region-us
| The dataset features/columns here are almost similar to the original github instruction (please read the github documentation first to understand the dataset): URL
To download goosynthtrain in huggingface, run the code below (URL
from datasets import load_dataset</br>
dataset = load_dataset("markytools/goosyntheticv3... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
26b891a6025fc04fd1385a8b12007d7cf6b895dd | # Dataset Card for "korquad_aihub"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hsp9308/korquad_aihub | [
"region:us"
] | 2023-06-22T04:53:57+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "text", "sequence": "string"}]}], "splits": [{"n... | 2023-06-22T04:54:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "korquad_aihub"
More Information needed | [
"# Dataset Card for \"korquad_aihub\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"korquad_aihub\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"korquad_aihub\"\n\nMore Information needed"
] |
25fe0bdd67cfa157bafd5d71a301269ec4375ca6 | # Dataset Card for "VSI_biology_QA"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | n3rd0/VSI_biology_QA | [
"region:us"
] | 2023-06-22T05:22:02+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1341870, "num_examples": 4500}, {"name": "test", "num_bytes": 242060, "num_examples": 794}], "download_size": 518043, "dataset_size": 1583930}} | 2023-06-22T05:22:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VSI_biology_QA"
More Information needed | [
"# Dataset Card for \"VSI_biology_QA\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VSI_biology_QA\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VSI_biology_QA\"\n\nMore Information needed"
] |
adc1c38808f2cbb131ba31fe554b0c88bb5b80c6 | # Dataset Card for "seq2seq-squad-tokenized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | carlosejimenez/seq2seq-squad-tokenized | [
"region:us"
] | 2023-06-22T05:42:29+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 89432112, "num_examples": 87599}, {"name": "validation", "num_bytes": 10940273, "num_examples": 10570}], "downloa... | 2023-06-22T05:42:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "seq2seq-squad-tokenized"
More Information needed | [
"# Dataset Card for \"seq2seq-squad-tokenized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"seq2seq-squad-tokenized\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"seq2seq-squad-tokenized\"\n\nMore Information needed"
] |
575ddee63867d84fac3c3430f9ed50ba10336c56 | # Dataset Card for "seq2seq-cnndm-tokenized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | carlosejimenez/seq2seq-cnndm-tokenized | [
"region:us"
] | 2023-06-22T05:56:36+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 883654818, "num_examples": 287113}, {"name": "validation", "num_bytes": 41790866, "num_examples": 13368}, {"name"... | 2023-06-22T05:56:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "seq2seq-cnndm-tokenized"
More Information needed | [
"# Dataset Card for \"seq2seq-cnndm-tokenized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"seq2seq-cnndm-tokenized\"\n\nMore Information needed"
] | [
6,
23
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"passage: TAGS\n#region-us \n# Dataset Card for \"seq2seq-cnndm-tokenized\"\n\nMore Information needed"
] |
ed1e1cb9443bdfe9b4d7ecb6e17502a1e2436e2b | # Dataset Card for "hh-generated_flan_t5_large"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dongyoung4091/hh-generated_flan_t5_large | [
"region:us"
] | 2023-06-22T06:39:03+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "sequence": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1406677, "num_examples": 100}], "download_size": 586332, "dataset_size": 1406677}} | 2023-06-22T06:44:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hh-generated_flan_t5_large"
More Information needed | [
"# Dataset Card for \"hh-generated_flan_t5_large\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hh-generated_flan_t5_large\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"hh-generated_flan_t5_large\"\n\nMore Information needed"
] |
d8ce31e482bb9afba66eb3f2e41ea78b58e0e243 | # Dataset Card for "shp-generated_flan_t5_large"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dongyoung4091/shp-generated_flan_t5_large | [
"region:us"
] | 2023-06-22T06:46:45+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "sequence": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 6358460, "num_examples": 100}], "download_size": 1586813, "dataset_size": 6358460}} | 2023-06-22T06:46:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "shp-generated_flan_t5_large"
More Information needed | [
"# Dataset Card for \"shp-generated_flan_t5_large\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"shp-generated_flan_t5_large\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"shp-generated_flan_t5_large\"\n\nMore Information needed"
] |
d20f99381c25d868804ec53e11e416f24b3a59dd | # Introduction
VirgilCorpus is a dataset created using 26 livestreams from the KoMETA Vtuber "Virgil" ([her channel](https://www.youtube.com/@Virgil_KoMETA)).
OpenAI Whisper (medium and small.en) was used to transcribe the streams.
**Note**:The dataset contains vulgarity, swearing, and other inappropriate contents.
... | CooperElektrik/VirgilCorpus | [
"language:en",
"language:tl",
"license:openrail",
"not-for-all-audiences",
"region:us"
] | 2023-06-22T07:33:24+00:00 | {"language": ["en", "tl"], "license": "openrail", "tags": ["not-for-all-audiences"]} | 2023-06-22T07:47:23+00:00 | [] | [
"en",
"tl"
] | TAGS
#language-English #language-Tagalog #license-openrail #not-for-all-audiences #region-us
| # Introduction
VirgilCorpus is a dataset created using 26 livestreams from the KoMETA Vtuber "Virgil" (her channel).
OpenAI Whisper (medium and URL) was used to transcribe the streams.
Note:The dataset contains vulgarity, swearing, and other inappropriate contents.
# Description
- Created by: Cooper "Elektriksan" ... | [
"# Introduction\n\nVirgilCorpus is a dataset created using 26 livestreams from the KoMETA Vtuber \"Virgil\" (her channel). \nOpenAI Whisper (medium and URL) was used to transcribe the streams.\n\nNote:The dataset contains vulgarity, swearing, and other inappropriate contents.",
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5648793901362b3683bf12da3ecb8957ce935d26 |
This is the Japanese subset of [TyDi QA](https://github.com/google-research-datasets/tydiqa).
**number of examples**
- primary task
- train: 16288 (original: 166916)
- validation: 1709 (original: 18670)
- secondary task ... no japanese data
**filtering script**
```python
from datasets import load_dataset
da... | mkshing/tydiqa_ja | [
"license:apache-2.0",
"region:us"
] | 2023-06-22T07:44:37+00:00 | {"license": "apache-2.0"} | 2023-06-23T00:45:37+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This is the Japanese subset of TyDi QA.
number of examples
- primary task
- train: 16288 (original: 166916)
- validation: 1709 (original: 18670)
- secondary task ... no japanese data
filtering script
| [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
0b0872f24b93eb3f1e298c1b2161693ef836f29f | # Dataset Card for HellaSwag_TH_drop
### Dataset Description
This dataset is Thai translated version of [hellaswag](https://huggingface.co/datasets/hellaswag) using google translate with [Multilingual Universal Sentence Encoder](https://arxiv.org/abs/1907.04307) to calculate score for Thai translation.
The score was... | Patt/HellaSwag_TH_drop | [
"language:th",
"language:en",
"license:cc-by-sa-4.0",
"arxiv:1907.04307",
"region:us"
] | 2023-06-22T08:10:40+00:00 | {"language": ["th", "en"], "license": "cc-by-sa-4.0", "dataset_info": {"features": [{"name": "ind", "dtype": "int64"}, {"name": "activity_label", "dtype": "string"}, {"name": "activity_label_th", "dtype": "string"}, {"name": "ctx_a", "dtype": "string"}, {"name": "ctx_a_th", "dtype": "string"}, {"name": "ctx_b", "dtype"... | 2024-01-15T17:41:56+00:00 | [
"1907.04307"
] | [
"th",
"en"
] | TAGS
#language-Thai #language-English #license-cc-by-sa-4.0 #arxiv-1907.04307 #region-us
| # Dataset Card for HellaSwag_TH_drop
### Dataset Description
This dataset is Thai translated version of hellaswag using google translate with Multilingual Universal Sentence Encoder to calculate score for Thai translation.
The score was penalized by the length of original text compare to translated text. The row tha... | [
"# Dataset Card for HellaSwag_TH_drop",
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39bb28f7965d15de7ac5f9e2492c97d880d73058 | # AutoTrain Dataset for project: identifying-person-location-date
## Dataset Description
This dataset has been automatically processed by AutoTrain for project identifying-person-location-date.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from ... | PhaniManda/autotrain-data-identifying-person-location-date | [
"task_categories:token-classification",
"region:us"
] | 2023-06-22T08:16:09+00:00 | {"task_categories": ["token-classification"]} | 2023-06-22T08:17:06+00:00 | [] | [] | TAGS
#task_categories-token-classification #region-us
| AutoTrain Dataset for project: identifying-person-location-date
===============================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project identifying-person-location-date.
### Languages
The BCP-47 code for the d... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
"TAGS\n#task_categories-token-classification #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields ... | [
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cc070cbc79d0a40a0f558e93f926c733ccced164 | # lyra
## Dataset Description
- **Repository:** https://github.com/LIANGQINGYUAN/Lyra
- **Paper:** [Lyra: A Benchmark for Turducken-Style Code Generation](https://arxiv.org/abs/2108.12144) | d0rj/lyra | [
"task_categories:text2text-generation",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"language:zh",
"language:code",
"license:gpl-3.0",
"code",
"arxiv:2108.12144",
"region:us"
] | 2023-06-22T08:18:20+00:00 | {"language": ["en", "zh", "code"], "license": "gpl-3.0", "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text2text-generation"], "paperswithcode_id": "lyra", "pretty_name": "Lyra: A Benchmark for Turducken-Style Code Generation", "dataset_info"... | 2023-06-22T08:18:40+00:00 | [
"2108.12144"
] | [
"en",
"zh",
"code"
] | TAGS
#task_categories-text2text-generation #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-original #language-English #language-Chinese #language-code #license-gpl-3.0 #code #arxiv-2108.12144 #region-us
| # lyra
## Dataset Description
- Repository: URL
- Paper: Lyra: A Benchmark for Turducken-Style Code Generation | [
"# lyra",
"## Dataset Description\n\n- Repository: URL\n- Paper: Lyra: A Benchmark for Turducken-Style Code Generation"
] | [
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de698621ed1991fad1211b1b533aef2bcace4c0e | # Project AIO (AI王) Data
This contains the data distributed for the [AI王 quiz competition](https://sites.google.com/view/project-aio/home).
## License
See [the original license information](https://sites.google.com/view/project-aio/dataset#h.wmban968zoh3).
The data for the second and third competitions, used here... | polm-stability/project-aio | [
"region:us"
] | 2023-06-22T08:39:33+00:00 | {} | 2023-06-22T08:54:49+00:00 | [] | [] | TAGS
#region-us
| # Project AIO (AI王) Data
This contains the data distributed for the AI王 quiz competition.
## License
See the original license information.
The data for the second and third competitions, used here, is distributed under a CC-BY-SA 4.0 license.
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] |
af70f6fc42b3d30856d252708181df30b237abe7 | # Dataset Card for "e107145a"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | results-sd-v1-5-sd-v2-1-if-v1-0-karlo/e107145a | [
"region:us"
] | 2023-06-22T10:17:22+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 178, "num_examples": 10}], "download_size": 1330, "dataset_size": 178}} | 2023-06-22T10:17:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "e107145a"
More Information needed | [
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b88ad416e092c4dfdffc6071f4b8e2d057a160f9 | # CMU Arctic Dataset | MikhailT/cmu-arctic | [
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"region:us"
] | 2023-06-22T10:34:43+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "pretty_name": "CMU Arctic", "dataset_info": {"features": [{"name": "speaker", "dtype": "string"}, {"name": "file", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits... | 2023-06-23T08:07:03+00:00 | [] | [
"en"
] | TAGS
#size_categories-10K<n<100K #language-English #license-mit #region-us
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171dd41196e5d39db22d0754d3efb1dfd196d96c | # Dataset Card for "us_patent_hub"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | factored/us_patent_hub | [
"region:us"
] | 2023-06-22T11:16:57+00:00 | {"dataset_info": {"features": [{"name": "description", "dtype": "string"}, {"name": "abstract", "dtype": "string"}, {"name": "cpc", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 3999772077.0, "num_examples": 130164}], "download_size": 1624852320, "dataset_size": 3999772077.0}} | 2023-06-25T15:28:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "us_patent_hub"
More Information needed | [
"# Dataset Card for \"us_patent_hub\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"us_patent_hub\"\n\nMore Information needed"
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7465b9d0e966a82f7cad782dc59925eedbc0cab7 | # Dataset Card for "turkishReviews-ds-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Mursel/turkishReviews-ds-mini | [
"language:tr",
"region:us"
] | 2023-06-22T11:37:53+00:00 | {"language": ["tr"], "dataset_info": {"features": [{"name": "review", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1252876.2642514652, "num_examples": 3378}, {"name": "validation", "num_bytes": 139455.7357485349, "num_examples": 376}], "download_size": 8966... | 2023-10-13T19:50:47+00:00 | [] | [
"tr"
] | TAGS
#language-Turkish #region-us
| # Dataset Card for "turkishReviews-ds-mini"
More Information needed | [
"# Dataset Card for \"turkishReviews-ds-mini\"\n\nMore Information needed"
] | [
"TAGS\n#language-Turkish #region-us \n",
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90153410462bc4a8101274883b6aea1942acb62b |
# Amod/mental_health_counseling_conversations
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | Amod/mental_health_counseling_conversations | [
"task_categories:conversational",
"task_categories:text-generation",
"task_categories:question-answering",
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"task_ids:language-modeling",
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"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"... | 2023-06-22T11:52:50+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": "openrail", "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["conversational", "text-generation", "question-answering"], "task_ids": ["senti... | 2023-07-20T18:00:46+00:00 | [] | [
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# Amod/mental_health_counseling_conversations
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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16335b7f819595da92c42ad9b48abbed28996524 | # AutoTrain Dataset for project: demo-on-token-classification
## Dataset Description
This dataset has been automatically processed by AutoTrain for project demo-on-token-classification.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dat... | PhaniManda/autotrain-data-demo-on-token-classification | [
"task_categories:token-classification",
"region:us"
] | 2023-06-22T11:52:58+00:00 | {"task_categories": ["token-classification"]} | 2023-06-22T11:53:55+00:00 | [] | [] | TAGS
#task_categories-token-classification #region-us
| AutoTrain Dataset for project: demo-on-token-classification
===========================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project demo-on-token-classification.
### Languages
The BCP-47 code for the dataset's lan... | [
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"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
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79c8a8598d3612d53f1728cc247b56ffc429d204 | # Dataset Card for "fold3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ltkw98/fold3 | [
"region:us"
] | 2023-06-22T12:00:57+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "tec_name", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2814407, "num_examples": 19083}, {"name": "validation", "num_bytes": 924741, "num_examples": 6360}, {"name": "test", "num_bytes... | 2023-06-22T12:01:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fold3"
More Information needed | [
"# Dataset Card for \"fold3\"\n\nMore Information needed"
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b22302c6fc5db97f8692efe08878813ca44704d5 | # Dataset Card for "mapping"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ltkw98/mapping | [
"region:us"
] | 2023-06-22T12:01:46+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "tec_name", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 369062, "num_examples": 2358}], "download_size": 165236, "dataset_size": 369062}} | 2023-06-22T12:01:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mapping"
More Information needed | [
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c0ab142e29a4fa13c2b04ae14a2db6d089f60e69 |
# Dataset Card for `hlm-paraphrase-multilingual-mpnet-base-v2`
### Dataset Summary
Chromadb vectorstore for 红楼梦, created with
```
import os
from langchain.document_loaders import TextLoader
from langchain.embeddings import SentenceTransformerEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplit... | mikeee/chroma-paraphrase-multilingual-mpnet-base-v2 | [
"region:us"
] | 2023-06-22T12:09:47+00:00 | {} | 2023-06-22T12:17:53+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for 'hlm-paraphrase-multilingual-mpnet-base-v2'
### Dataset Summary
Chromadb vectorstore for 红楼梦, created with
### How to use
Download the 'hlm' directory to a local directory, e.g., 'db', for example
Load the vectorestore:
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] |
1e68d4f278013211462cfa6aeddd7a66e7120d9e |
# Dataset Card for MultiRC_TH_drop
### Dataset Description
This dataset is Thai translated version of [multirc](https://huggingface.co/datasets/super_glue/viewer/multirc) using google translate with [Multilingual Universal Sentence Encoder](https://arxiv.org/abs/1907.04307) to calculate score for Thai translation.
Th... | Patt/MultiRC_TH_drop | [
"task_categories:text-classification",
"language:en",
"language:th",
"license:cc-by-sa-4.0",
"arxiv:1907.04307",
"region:us"
] | 2023-06-22T12:20:37+00:00 | {"language": ["en", "th"], "license": "cc-by-sa-4.0", "task_categories": ["text-classification"], "dataset_info": {"features": [{"name": "paragraph", "dtype": "string"}, {"name": "paragraph_TH", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "question_TH", "dtype": "string"}, {"name": "answer", "... | 2024-01-15T17:31:51+00:00 | [
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"th"
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#task_categories-text-classification #language-English #language-Thai #license-cc-by-sa-4.0 #arxiv-1907.04307 #region-us
|
# Dataset Card for MultiRC_TH_drop
### Dataset Description
This dataset is Thai translated version of multirc using google translate with Multilingual Universal Sentence Encoder to calculate score for Thai translation.
The score was penalized by the length of original text compare to translated text. The row that any... | [
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b75edf14e5ebe2360981e9ea4e61c0c974e2ab67 | This is the collection of datasets used for the creation of our Gujarati Grammarly. It consists of correct-incorrect sentence pairs and correct incorrect spelling pairs datasets.
The sentence pairs are provided in various sizes for ease of prototyping and scaling. | autopilot-ai/Gujarati-Grammarly-Datasets | [
"license:afl-3.0",
"region:us"
] | 2023-06-22T12:28:20+00:00 | {"license": "afl-3.0"} | 2023-06-22T14:23:06+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
| This is the collection of datasets used for the creation of our Gujarati Grammarly. It consists of correct-incorrect sentence pairs and correct incorrect spelling pairs datasets.
The sentence pairs are provided in various sizes for ease of prototyping and scaling. | [] | [
"TAGS\n#license-afl-3.0 #region-us \n"
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3fdea1806ff29128c7e5284c1209f15ac3706503 |
# Dataset Card for ReCoRD_TH_drop
### Dataset Description
This dataset is Thai translated version of [ReCoRD](https://huggingface.co/datasets/super_glue/viewer/record) using google translate with [Multilingual Universal Sentence Encoder](https://arxiv.org/abs/1907.04307) to calculate score for Thai translation.
Drop ... | Patt/ReCoRD_TH_drop | [
"task_categories:text-classification",
"language:en",
"language:th",
"license:cc-by-sa-4.0",
"arxiv:1907.04307",
"region:us"
] | 2023-06-22T12:34:05+00:00 | {"language": ["en", "th"], "license": "cc-by-sa-4.0", "task_categories": ["text-classification"], "dataset_info": {"features": [{"name": "passage", "dtype": "string"}, {"name": "passage_TH", "dtype": "string"}, {"name": "query", "dtype": "string"}, {"name": "query_TH", "dtype": "string"}, {"name": "entities", "sequence... | 2024-01-15T17:37:59+00:00 | [
"1907.04307"
] | [
"en",
"th"
] | TAGS
#task_categories-text-classification #language-English #language-Thai #license-cc-by-sa-4.0 #arxiv-1907.04307 #region-us
|
# Dataset Card for ReCoRD_TH_drop
### Dataset Description
This dataset is Thai translated version of ReCoRD using google translate with Multilingual Universal Sentence Encoder to calculate score for Thai translation.
Drop every row that score_answers < 0.8 and every row that score < 0.5 after penalty.
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721c1a19fead8a7ac2f2860dadfaea73137c7a90 | # Dataset Card for "bev_da_d_pedx_walkway_carpark"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | samuelsze/bev_da_d_pedx_walkway_carpark | [
"region:us"
] | 2023-06-22T12:41:43+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 544986388.919, "num_examples": 40157}], "download_size": 307989767, "dataset_size": 544986388.919}} | 2023-06-22T12:44:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bev_da_d_pedx_walkway_carpark"
More Information needed | [
"# Dataset Card for \"bev_da_d_pedx_walkway_carpark\"\n\nMore Information needed"
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88aa1d1831a24f750f89d08e51c50068f3e089b0 | # Dataset Card for "processed_dwi_soft_edge_from_semantic"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | deetsadi/processed_dwi_soft_edge_from_semantic | [
"region:us"
] | 2023-06-22T12:59:53+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "conditioning_image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 11886866.0, "num_examples": 200}], "download_size": 11716359, "dataset_size": 11886866.0}} | 2023-06-22T13:00:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_dwi_soft_edge_from_semantic"
More Information needed | [
"# Dataset Card for \"processed_dwi_soft_edge_from_semantic\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"processed_dwi_soft_edge_from_semantic\"\n\nMore Information needed"
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6,
25
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"passage: TAGS\n#region-us \n# Dataset Card for \"processed_dwi_soft_edge_from_semantic\"\n\nMore Information needed"
] |
060e58863931ccbb7366639f62b723c34d72bc53 |
0 : not clickbait
1 : clickbait
Dataset cleaned from duplicates and kept only the first appearing text.
Dataset split into train and test sets using 0.2 split ratio.
Dataset split into test and validation sets using 0.2 split ratio.
Size of training set: 43.802
Size of test set: 8.760
Size of validation set: 2... | christinacdl/clickbait_notclickbait_dataset | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-06-22T13:38:07+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"]} | 2023-06-22T13:42:37+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
|
0 : not clickbait
1 : clickbait
Dataset cleaned from duplicates and kept only the first appearing text.
Dataset split into train and test sets using 0.2 split ratio.
Dataset split into test and validation sets using 0.2 split ratio.
Size of training set: 43.802
Size of test set: 8.760
Size of validation set: 2... | [] | [
"TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n"
] | [
41
] | [
"passage: TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n"
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05945c56006ff732d38143b38ecd7f8040c6d868 | # BLOOM Model Stories
These are stories generated on nlp.henzi.org using BLOOM. Some were
generated using the full sized model but most are generated using the 560m
sized model (with very similar results frankly).
## Purpose or Usage
Potential ability to understand prompting of LLMs such as those the size of
BLOOM. ... | JHenzi/BLOOMStories | [
"language:en",
"license:bigscience-openrail-m",
"region:us"
] | 2023-06-22T14:09:35+00:00 | {"language": ["en"], "license": "bigscience-openrail-m", "pretty_name": "BLOOM Model Stories"} | 2023-06-22T14:33:36+00:00 | [] | [
"en"
] | TAGS
#language-English #license-bigscience-openrail-m #region-us
| # BLOOM Model Stories
These are stories generated on URL using BLOOM. Some were
generated using the full sized model but most are generated using the 560m
sized model (with very similar results frankly).
## Purpose or Usage
Potential ability to understand prompting of LLMs such as those the size of
BLOOM. Each of th... | [
"# BLOOM Model Stories\n\nThese are stories generated on URL using BLOOM. Some were\ngenerated using the full sized model but most are generated using the 560m\nsized model (with very similar results frankly).",
"## Purpose or Usage\n\nPotential ability to understand prompting of LLMs such as those the size of\nB... | [
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"## Purpose or Usage\n\nPote... | [
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"passage: TAGS\n#language-English #license-bigscience-openrail-m #region-us \n# BLOOM Model Stories\n\nThese are stories generated on URL using BLOOM. Some were\ngenerated using the full sized model but most are generated using the 560m\nsized model (with very similar results frankly).## Purpose or Usage\n\nPotenti... |
d5396e316c2d70f7088a68a5175d1352a0d1bd5b | # dsa
Created from AIOD platform | mtkinit/dsa | [
"super",
"truper",
"region:us"
] | 2023-06-22T14:22:53+00:00 | {"pretty_name": "dsa", "tags": ["super", "truper"]} | 2023-06-22T14:26:43+00:00 | [] | [] | TAGS
#super #truper #region-us
| # dsa
Created from AIOD platform | [
"# dsa\nCreated from AIOD platform"
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"passage: TAGS\n#super #truper #region-us \n# dsa\nCreated from AIOD platform"
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a3896b495b7069ec433834e093be854a20b1f207 | # dsaaseas
Created from AIOD platform | mtkinit/dsaaseas | [
"region:us"
] | 2023-06-22T14:27:32+00:00 | {"pretty_name": "dsaaseas"} | 2023-06-22T14:27:57+00:00 | [] | [] | TAGS
#region-us
| # dsaaseas
Created from AIOD platform | [
"# dsaaseas\nCreated from AIOD platform"
] | [
"TAGS\n#region-us \n",
"# dsaaseas\nCreated from AIOD platform"
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"passage: TAGS\n#region-us \n# dsaaseas\nCreated from AIOD platform"
] |
c7d0c699152e5a310ad6b793bba5e302f28699ba | # Dataset Card for "MJSynth_text_recognition"
This is the MJSynth dataset for text recognition on document images, synthetically generated, covering 90K English words.
It includes training, validation and test splits.
Source of the dataset: https://www.robots.ox.ac.uk/~vgg/data/text/
Use dataset streaming functionali... | priyank-m/MJSynth_text_recognition | [
"task_categories:image-to-text",
"size_categories:1M<n<10M",
"language:en",
"region:us"
] | 2023-06-22T14:33:18+00:00 | {"language": ["en"], "size_categories": ["1M<n<10M"], "task_categories": ["image-to-text"], "pretty_name": "MJSynth", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12173747703, "num_examples": 7224600}, {"name": "val",... | 2023-07-04T19:49:10+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-text #size_categories-1M<n<10M #language-English #region-us
| # Dataset Card for "MJSynth_text_recognition"
This is the MJSynth dataset for text recognition on document images, synthetically generated, covering 90K English words.
It includes training, validation and test splits.
Source of the dataset: URL
Use dataset streaming functionality to try out the dataset quickly withou... | [
"# Dataset Card for \"MJSynth_text_recognition\"\n\nThis is the MJSynth dataset for text recognition on document images, synthetically generated, covering 90K English words.\nIt includes training, validation and test splits.\nSource of the dataset: URL\n\nUse dataset streaming functionality to try out the dataset q... | [
"TAGS\n#task_categories-image-to-text #size_categories-1M<n<10M #language-English #region-us \n",
"# Dataset Card for \"MJSynth_text_recognition\"\n\nThis is the MJSynth dataset for text recognition on document images, synthetically generated, covering 90K English words.\nIt includes training, validation and test... | [
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"passage: TAGS\n#task_categories-image-to-text #size_categories-1M<n<10M #language-English #region-us \n# Dataset Card for \"MJSynth_text_recognition\"\n\nThis is the MJSynth dataset for text recognition on document images, synthetically generated, covering 90K English words.\nIt includes training, validation and t... |
d005aedc35dbe2d40895194c363daecc898de689 | # Dataset Card for "med_chat_8"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | stoddur/med_chat_8 | [
"region:us"
] | 2023-06-22T14:48:41+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 173561040.0, "num_examples": 112410}], "download_size": 4062144, "dataset_size": 173561040.0}} | 2023-06-22T14:48:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "med_chat_8"
More Information needed | [
"# Dataset Card for \"med_chat_8\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"med_chat_8\"\n\nMore Information needed"
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da1214d75ad092f9c7ed06f113696c924d09eeb4 | # Dataset Card for "18c4ecbf"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | results-sd-v1-5-sd-v2-1-if-v1-0-karlo/18c4ecbf | [
"region:us"
] | 2023-06-22T15:10:17+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 180, "num_examples": 10}], "download_size": 1330, "dataset_size": 180}} | 2023-06-22T15:10:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "18c4ecbf"
More Information needed | [
"# Dataset Card for \"18c4ecbf\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"18c4ecbf\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"18c4ecbf\"\n\nMore Information needed"
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d1146c7a974452b2c1d3f79b8c9087e928f10303 | # Dataset Card for "vina-cased_mlm_wwm_chunked_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | phunc20/vina-cased_mlm_wwm_chunked_dataset | [
"region:us"
] | 2023-06-22T15:12:42+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "word_ids", "sequence": "int64"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 5380537328, "num_examples": 991987}], "download_size": 1379723543, "da... | 2023-06-22T15:41:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vina-cased_mlm_wwm_chunked_dataset"
More Information needed | [
"# Dataset Card for \"vina-cased_mlm_wwm_chunked_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"vina-cased_mlm_wwm_chunked_dataset\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"vina-cased_mlm_wwm_chunked_dataset\"\n\nMore Information needed"
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da9c473d1177a39b8b5c15827c2cabc54391d0ac | # Dataset Card for "deepgui_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mattlc/deepgui | [
"region:us"
] | 2023-06-22T15:24:40+00:00 | {"dataset_info": {"features": [{"name": "file_name", "dtype": "image"}, {"name": "caption", "dtype": "string"}, {"name": "conditioning_image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 184059306.0, "num_examples": 400}], "download_size": 85178148, "dataset_size": 184059306.0}} | 2023-06-22T15:25:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "deepgui_v2"
More Information needed | [
"# Dataset Card for \"deepgui_v2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"deepgui_v2\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"deepgui_v2\"\n\nMore Information needed"
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ff746aff2276802a8b0596b7aa381c6a49db978e |
# MMLU in Russian (Massive Multitask Language Understanding)
## Overview of the Dataset
MMLU dataset for EN/RU, without auxiliary train.
The dataset contains `dev`/`val`/`test` splits for both, English and Russian languages.
Note it doesn't include `auxiliary_train` split, which wasn't translated.
Totally the datas... | NLPCoreTeam/mmlu_ru | [
"task_categories:question-answering",
"task_categories:multiple-choice",
"task_ids:multiple-choice-qa",
"size_categories:10K<n<100K",
"language:ru",
"language:en",
"arxiv:2009.03300",
"region:us"
] | 2023-06-22T15:25:12+00:00 | {"language": ["ru", "en"], "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "multiple-choice"], "task_ids": ["multiple-choice-qa"], "pretty_name": "MMLU RU/EN", "dataset_info": [{"config_name": "abstract_algebra", "features": [{"name": "question_en", "dtype": "string"}, {"name": "choices_en"... | 2023-06-28T18:21:48+00:00 | [
"2009.03300"
] | [
"ru",
"en"
] | TAGS
#task_categories-question-answering #task_categories-multiple-choice #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Russian #language-English #arxiv-2009.03300 #region-us
|
# MMLU in Russian (Massive Multitask Language Understanding)
## Overview of the Dataset
MMLU dataset for EN/RU, without auxiliary train.
The dataset contains 'dev'/'val'/'test' splits for both, English and Russian languages.
Note it doesn't include 'auxiliary_train' split, which wasn't translated.
Totally the datas... | [
"# MMLU in Russian (Massive Multitask Language Understanding)",
"## Overview of the Dataset\n\nMMLU dataset for EN/RU, without auxiliary train.\nThe dataset contains 'dev'/'val'/'test' splits for both, English and Russian languages.\nNote it doesn't include 'auxiliary_train' split, which wasn't translated.\nTotal... | [
"TAGS\n#task_categories-question-answering #task_categories-multiple-choice #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Russian #language-English #arxiv-2009.03300 #region-us \n",
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7d2c87d9e37e10cdcac7e3a9064eef3021b8ba30 |
This is [Allen AI's open-instruct dataset.](https://github.com/allenai/open-instruct)
It is used to train the Tulu family of models.
- https://huggingface.co/allenai/tulu-7b
- https://huggingface.co/allenai/tulu-13b
- https://huggingface.co/allenai/tulu-30b
- https://huggingface.co/allenai/tulu-65b
I have done the ... | cognitivecomputations/open-instruct-uncensored | [
"license:apache-2.0",
"region:us"
] | 2023-06-22T15:36:28+00:00 | {"license": "apache-2.0"} | 2023-06-22T17:41:10+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This is Allen AI's open-instruct dataset.
It is used to train the Tulu family of models.
- URL
- URL
- URL
- URL
I have done the following:
1) Download the open-instruct repo
2) Execute the scripts/prepare_train_data.sh modified to download the "unfiltered" version of sharegpt dataset
3) Merged data/processed//*.j... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
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9d55b1946370f79ad611b240d16360ee1fab7209 | # Dataset Card for "un_pdf_random10032_preprocessed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bot-yaya/un_pdf_random10032_preprocessed | [
"region:us"
] | 2023-06-22T15:58:36+00:00 | {"dataset_info": {"features": [{"name": "zh", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "fr", "dtype": "string"}, {"name": "es", "dtype": "string"}, {"name": "ru", "dtype": "string"}, {"name": "record", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1937297678, "num_examples": 1003... | 2023-06-22T16:15:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "un_pdf_random10032_preprocessed"
More Information needed | [
"# Dataset Card for \"un_pdf_random10032_preprocessed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"un_pdf_random10032_preprocessed\"\n\nMore Information needed"
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b3cb9bbbafad79e8e78f03c0c51df5be54878c98 | # Lua code from Starcoderdata that has been ranked using a heuristic
Heuristic code found here: https://github.com/cassanof/lua-dataset-heuristics
## Usage
This datasets uses different git branches to keep different kinds of datasets. The main branch will remain empty.
The DatasetInfo file in each branch contains the ... | cassanof/starcoderdata-lua-ranked | [
"region:us"
] | 2023-06-22T16:30:59+00:00 | {} | 2023-06-22T16:49:13+00:00 | [] | [] | TAGS
#region-us
| # Lua code from Starcoderdata that has been ranked using a heuristic
Heuristic code found here: URL
## Usage
This datasets uses different git branches to keep different kinds of datasets. The main branch will remain empty.
The DatasetInfo file in each branch contains the code for heuristic function that generated the ... | [
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352bda4b22d2fa1667b2152911430b4a03a21d3b | # Dataset Card for "musiccaps_mel_spectrograms"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | deetsadi/musiccaps_mel_spectrograms | [
"region:us"
] | 2023-06-22T16:50:51+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 117739026.0, "num_examples": 999}], "download_size": 115824318, "dataset_size": 117739026.0}} | 2023-06-22T16:50:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "musiccaps_mel_spectrograms"
More Information needed | [
"# Dataset Card for \"musiccaps_mel_spectrograms\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"musiccaps_mel_spectrograms\"\n\nMore Information needed"
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56d33d9eb495d20ec57117232368ceae4210a216 | goosynthtrainsegm.zip ---> gaze on object (goo) synthetic train set segmentation data (.npy files)
goosynthtestsegm.zip ---> gaze on object (goo) synthetic test set segmentation data (.npy files)
goorealtestsegm.zip ---> gaze on object (goo) real test set segmentation data (.npy files) | markytools/goosegmv3 | [
"license:mit",
"region:us"
] | 2023-06-22T17:56:00+00:00 | {"license": "mit"} | 2023-06-24T04:09:41+00:00 | [] | [] | TAGS
#license-mit #region-us
| URL ---> gaze on object (goo) synthetic train set segmentation data (.npy files)
URL ---> gaze on object (goo) synthetic test set segmentation data (.npy files)
URL ---> gaze on object (goo) real test set segmentation data (.npy files) | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
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7be3694d89662b43a66f638e90472ad8c4cfd0c4 |
# scan_4
See https://confirmlabs.org/posts/catalog.html for details.
- `text`: The long prompt text with the the first token surrounded by square brackets.
- `token_short`: The model's prediction for the most likely token given the short prompt.
- `token_long`: The model's prediction for the most likely token given ... | Confirm-Labs/pile_scan_4 | [
"region:us"
] | 2023-06-22T18:08:37+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "token_short", "dtype": "string"}, {"name": "token_long", "dtype": "string"}, {"name": "p_short", "dtype": "float32"}, {"name": "p_long", "dtype": "float32"}, {"name": "JS", "dtype": "float32"}, {"name": "long_ids", "sequence": "int32"}, {"nam... | 2023-06-25T02:04:42+00:00 | [] | [] | TAGS
#region-us
|
# scan_4
See URL for details.
- 'text': The long prompt text with the the first token surrounded by square brackets.
- 'token_short': The model's prediction for the most likely token given the short prompt.
- 'token_long': The model's prediction for the most likely token given the long prompt.
- 'p_short': The model... | [
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889645fa95f5aaa7950cb364a7ecd7500a5d3298 | If you found this from a search engine or randomly stumbled upon this "dataset", go to https://huggingface.co/PokerMon/PokemonHorizons, as this is not the intended location of what you're looking for.
The link above leads to all Pokemon Horizons episodes, whether it is subbed or not.
This dataset is not maintained an... | PokerMon/PokemonHorizons | [
"license:unknown",
"region:us"
] | 2023-06-22T19:11:43+00:00 | {"license": "unknown"} | 2023-07-16T18:46:44+00:00 | [] | [] | TAGS
#license-unknown #region-us
| If you found this from a search engine or randomly stumbled upon this "dataset", go to URL as this is not the intended location of what you're looking for.
The link above leads to all Pokemon Horizons episodes, whether it is subbed or not.
This dataset is not maintained and was only for testing purposes. | [] | [
"TAGS\n#license-unknown #region-us \n"
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37e6ed966fe162cae01859163988cc26b6c6d05c | This dataset is the result of roughly 1.2k instruction/response pairs generated by Claude, with instances of blatant alignment removed.
1020 instructions remain.
The instructions were generated synethically using a method that can be tenatively described as "multi-instruct." These instructions consist of numerous dis... | Norquinal/claude_multi_instruct_1k | [
"region:us"
] | 2023-06-22T19:49:57+00:00 | {} | 2023-06-22T20:16:51+00:00 | [] | [] | TAGS
#region-us
| This dataset is the result of roughly 1.2k instruction/response pairs generated by Claude, with instances of blatant alignment removed.
1020 instructions remain.
The instructions were generated synethically using a method that can be tenatively described as "multi-instruct." These instructions consist of numerous dis... | [] | [
"TAGS\n#region-us \n"
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6
] | [
"passage: TAGS\n#region-us \n"
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2cbd6c0c1dea3e3ec98bb028f141ee5a4684dfa8 | # Dataset Card for bank reviews dataset
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
The dataset is collected from the [banki.ru](https://www.banki.ru/services/responses/list/?is_countable=on) website.
It contains customer ... | Romjiik/Russian_bank_reviews | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:ru",
"finance",
"region:us"
] | 2023-06-22T20:15:12+00:00 | {"language": ["ru"], "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "bank reviews", "tags": ["finance"]} | 2023-06-22T20:29:37+00:00 | [] | [
"ru"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-Russian #finance #region-us
| # Dataset Card for bank reviews dataset
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
The dataset is collected from the URL website.
It contains customer reviews of various banks. In total, the dataset contains 12399 reviews.
The dataset is su... | [
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6ff9554963b0ac3274bcdf5c7639ca51e3c1207a | # Dataset Card for "fiduciary_concatenated"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LawInformedAI/fiduciary_concatenated | [
"region:us"
] | 2023-06-22T20:35:25+00:00 | {"dataset_info": {"features": [{"name": "timestep", "dtype": "int64"}, {"name": "key", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "positive", "dtype": "string"}, {"name": "negative", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 26859542, "num_examples": 26957}], "download_size... | 2023-06-22T20:35:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fiduciary_concatenated"
More Information needed | [
"# Dataset Card for \"fiduciary_concatenated\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"fiduciary_concatenated\"\n\nMore Information needed"
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998c5e91ade58a1dad93987ca7afe899f2150ba0 | # Dataset Card for "fold0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ltkw98/fold0 | [
"region:us"
] | 2023-06-22T20:57:28+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "tec_name", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2798036, "num_examples": 19082}, {"name": "validation", "num_bytes": 941112, "num_examples": 6361}, {"name": "test", "num_bytes... | 2023-06-22T20:57:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fold0"
More Information needed | [
"# Dataset Card for \"fold0\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"fold0\"\n\nMore Information needed"
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7795a2764c787e187245ad9fe1d0a657d262cd00 | # Dataset Card for "fold1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ltkw98/fold1 | [
"region:us"
] | 2023-06-22T20:57:56+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "tec_name", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2801888, "num_examples": 19082}, {"name": "validation", "num_bytes": 937260, "num_examples": 6361}, {"name": "test", "num_bytes... | 2023-06-22T20:57:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fold1"
More Information needed | [
"# Dataset Card for \"fold1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"fold1\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"fold1\"\n\nMore Information needed"
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7e4516c74eda0aed6d2e7f831a18d27e96f705b3 | # Dataset Card for "fold2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ltkw98/fold2 | [
"region:us"
] | 2023-06-22T20:58:13+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "tec_name", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2803113, "num_examples": 19082}, {"name": "validation", "num_bytes": 936035, "num_examples": 6361}, {"name": "test", "num_bytes... | 2023-06-23T01:28:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fold2"
More Information needed | [
"# Dataset Card for \"fold2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"fold2\"\n\nMore Information needed"
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8823d2e6575e844e79a2c6291beaacf3c3b104e9 | # Dataset Card for "samanantar_100K_hindi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rd124/samanantar_100K_hindi | [
"region:us"
] | 2023-06-22T21:14:11+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int64"}, {"name": "src", "dtype": "string"}, {"name": "tgt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35534615.07770421, "num_examples": 100000}, {"name": "validation", "num_bytes": 3553461.507770421, "num_examples": 10000}], "download_size"... | 2023-06-22T21:14:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "samanantar_100K_hindi"
More Information needed | [
"# Dataset Card for \"samanantar_100K_hindi\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"samanantar_100K_hindi\"\n\nMore Information needed"
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f5513a71c9cf1eecc2692339a801f91568b4766a | # Dataset Card for "fuel_surcharge_vqa_positive"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | piercemaloney/fuel_surcharge_vqa_positive | [
"region:us"
] | 2023-06-22T21:27:47+00:00 | {"dataset_info": {"features": [{"name": "artifact_qid", "dtype": "string"}, {"name": "pixel_values", "dtype": {"array3_d": {"shape": [3, 224, 224], "dtype": "float32"}}}, {"name": "input_ids", "sequence": "int64"}, {"name": "attention_mask", "sequence": "int64"}, {"name": "bbox", "dtype": {"array2_d": {"shape": [512, 4... | 2023-06-22T21:30:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fuel_surcharge_vqa_positive"
More Information needed | [
"# Dataset Card for \"fuel_surcharge_vqa_positive\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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43f5f71386e3bdfc19e36f8298fa517fcb6631e3 | # Dataset Card for "chatModel"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AngelOS95/chatModel | [
"region:us"
] | 2023-06-22T21:46:11+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 40980.0, "num_examples": 5}, {"name": "test", "num_bytes": 8196, "num_examples": 1}], "download_size": 32624, "dataset_size": 49176.0}} | 2023-06-23T13:19:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chatModel"
More Information needed | [
"# Dataset Card for \"chatModel\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"chatModel\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"chatModel\"\n\nMore Information needed"
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8f419acf2b7e925f922bb7708d3ddd83bbdb3362 | # Dataset Card for "med_chat_9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | stoddur/med_chat_9 | [
"region:us"
] | 2023-06-22T22:02:07+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 193941840.0, "num_examples": 125610}], "download_size": 4637775, "dataset_size": 193941840.0}} | 2023-06-23T14:44:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "med_chat_9"
More Information needed | [
"# Dataset Card for \"med_chat_9\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"med_chat_9\"\n\nMore Information needed"
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1cd4d64b26ed364b278fd72dc148c27b2d81c13a | # Dataset Card for "accentsDB-with-transcripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | prince-canuma/accentsDB-with-transcripts | [
"region:us"
] | 2023-06-22T22:14:17+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1885630770.23, "num_examples": 12585}], "download_size": 728047519, "dataset_size": 1885630770.23}} | 2023-06-23T01:04:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "accentsDB-with-transcripts"
More Information needed | [
"# Dataset Card for \"accentsDB-with-transcripts\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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51ac5f2f4b10d94860af3ba6fad1cd06b69d7cc6 |
# Dataset Card for Time Series Extrinsic Regression
## Dataset Description
- **Homepage:** [Time Series Extrinsic Regression Repository](http://tseregression.org/)
- **Repository:** [GitHub code repository](https://github.com/ChangWeiTan/TS-Extrinsic-Regression/tree/master), [Raw data repository](https://zenodo.org/... | foxy-steve/monash_uea_ucr_tser | [
"task_categories:time-series-forecasting",
"size_categories:10K<n<100K",
"language:en",
"license:gpl-3.0",
"arxiv:2006.10996",
"region:us"
] | 2023-06-22T22:29:15+00:00 | {"language": ["en"], "license": "gpl-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["time-series-forecasting"], "pretty_name": "Appliances Energy Regression Dataset", "dataset_info": {"features": [{"name": "start", "dtype": "timestamp[s]"}, {"name": "feat_static_cat", "dtype": "uint64"}, {"name": "to_pred... | 2023-06-23T16:07:18+00:00 | [
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] | TAGS
#task_categories-time-series-forecasting #size_categories-10K<n<100K #language-English #license-gpl-3.0 #arxiv-2006.10996 #region-us
|
# Dataset Card for Time Series Extrinsic Regression
## Dataset Description
- Homepage: Time Series Extrinsic Regression Repository
- Repository: GitHub code repository, Raw data repository
- Paper: Monash University, UEA, UCR Time Series Extrinsic Regression Archive
- Leaderboard: Baseline results
- Point of Contact... | [
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edcaa5b1aecc69f799bd630ac07716142cd3bfa5 | # AutoTrain Dataset for project: bnr-ia-v1
## Dataset Description
This dataset has been automatically processed by AutoTrain for project bnr-ia-v1.
### 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
[
{
... | bacelar/autotrain-data-bnr-ia-v1 | [
"region:us"
] | 2023-06-22T22:36:28+00:00 | {} | 2023-06-23T01:13:43+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: bnr-ia-v1
========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project bnr-ia-v1.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
###... | [
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6e20b67c52909229aef941a3e9f49f55db7199db | # BLUEX
There is a repository with the minimal code for using this dataset available [here](https://github.com/Portuguese-Benchmark-Datasets/BLUEX). If you use this dataset for research, please cite the paper:
```bibtex
@misc{almeida2023bluex,
title={BLUEX: A benchmark based on Brazilian Leading Universities Ent... | portuguese-benchmark-datasets/BLUEX | [
"arxiv:2307.05410",
"region:us"
] | 2023-06-22T22:40:14+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "number", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "alternatives", "sequence": "string"}, {"name": "associated_images", "sequence": "string"}, {"name": "answer", "dtype": "string"}, {"name": "has_associated_images", "... | 2023-12-22T20:36:53+00:00 | [
"2307.05410"
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#arxiv-2307.05410 #region-us
| # BLUEX
There is a repository with the minimal code for using this dataset available here. If you use this dataset for research, please cite the paper:
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4e6ada930daf629bf5fbfb8894f7c0b5ee8121e4 |
## DreamEditBench for Subject Replacement task and Subject Addition task.
## Dataset Description
- **Homepage:** https://dreameditbenchteam.github.io
- **Repository:** https://github.com/DreamEditBenchTeam/DreamEdit
<!-- **Paper:** https://arxiv.org/abs/2306.12624 -->
The goal of subject replacement is to replace a... | tianleliphoebe/DreamEditBench | [
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"size_categories:n<1K",
"language:en",
"license:cc-by-4.0",
"arxiv:2306.12624",
"region:us"
] | 2023-06-22T23:19:24+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["n<1K"], "task_categories": ["image-to-image", "text-to-image"]} | 2023-06-23T04:05:09+00:00 | [
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#task_categories-image-to-image #task_categories-text-to-image #size_categories-n<1K #language-English #license-cc-by-4.0 #arxiv-2306.12624 #region-us
|
## DreamEditBench for Subject Replacement task and Subject Addition task.
## Dataset Description
- Homepage: URL
- Repository: URL
The goal of subject replacement is to replace a subject from a source image with a customized subject. In contrast, the aim of the subject addition task is to add a customized
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a3236e1dee690fbb4ce9ceadac24b2be375f5503 | # Dataset Card for "khatt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Fakhraddin/khatt | [
"region:us"
] | 2023-06-22T23:53:58+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19343138.2, "num_examples": 1400}, {"name": "validation", "num_bytes": 3065142.0, "num_examples": 233}], "download_size": 14478571, "dataset_size": 22408280.2}} | 2023-06-23T00:10:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "khatt"
More Information needed | [
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c319e9cebf932dd29edff194d77294b99fd7d611 |
# Rakuda - Questions for Japanese models
**Repository**: [https://github.com/yuzu-ai/japanese-llm-ranking](https://github.com/yuzu-ai/japanese-llm-ranking)
This is a set of 40 questions in Japanese about Japanese-specific topics designed to evaluate the capabilities of AI Assistants in Japanese.
The questions are e... | yuzuai/rakuda-questions | [
"task_categories:conversational",
"task_categories:question-answering",
"size_categories:n<1K",
"source_datasets:original",
"language:ja",
"license:mit",
"region:us"
] | 2023-06-23T00:08:52+00:00 | {"language": ["ja"], "license": "mit", "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["conversational", "question-answering"], "pretty_name": "Rakuda - Questions for Japanese Models"} | 2023-06-23T07:01:35+00:00 | [] | [
"ja"
] | TAGS
#task_categories-conversational #task_categories-question-answering #size_categories-n<1K #source_datasets-original #language-Japanese #license-mit #region-us
|
# Rakuda - Questions for Japanese models
Repository: URL
This is a set of 40 questions in Japanese about Japanese-specific topics designed to evaluate the capabilities of AI Assistants in Japanese.
The questions are evenly distributed between four categories: history, society, government, and geography.
Questions ... | [
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73da93eff8e3a9dac0b81d78c4b6383d7946556a | # Dataset Card for "wiki-vegitable-corpus"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tmfi/wiki-vegitable-corpus | [
"region:us"
] | 2023-06-23T00:59:20+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2430092, "num_examples": 5230}], "download_size": 1135324, "dataset_size": 2430092}} | 2023-06-23T00:59:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wiki-vegitable-corpus"
More Information needed | [
"# Dataset Card for \"wiki-vegitable-corpus\"\n\nMore Information needed"
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12d568be7344215b8eb61456015e4fc6bc55fa2f |
This dataset contains 8 NetCDF files.
Ground truth derived from [CRUST1.0](https://igppweb.ucsd.edu/~gabi/crust1.html):
* truth.nc
Predictions made by plate models:
* hs.nc
* psm.nc
* gdh1.nc
* h13.nc
Predictions made by ML models:
* ridge.nc
* svr.nc
* mlp.nc | torchgeo/bathymetry | [
"size_categories:10K<n<100K",
"license:cc-by-4.0",
"region:us"
] | 2023-06-23T01:18:35+00:00 | {"license": "cc-by-4.0", "size_categories": ["10K<n<100K"]} | 2023-06-23T01:25:14+00:00 | [] | [] | TAGS
#size_categories-10K<n<100K #license-cc-by-4.0 #region-us
|
This dataset contains 8 NetCDF files.
Ground truth derived from CRUST1.0:
* URL
Predictions made by plate models:
* URL
* URL
* URL
* URL
Predictions made by ML models:
* URL
* URL
* URL | [] | [
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82c29a2005017809fb681ad6f4f6fa68bc7cfdc3 |
# Dataset Card for Falling through the Skies
## Dataset Description
- **Homepage:** Nowhere else except here.
- **Repository:** Here!
- **Paper:** Nil
- **Leaderboard:** Nil
- **Point of Contact:** KaraKaraWitch
### Dataset Summary
*Falling through the Skies* is an unfiltered dump of **592k stories** literotica.
... | RyokoExtra/FallingThroughTheSkies-592k | [
"task_categories:text-classification",
"task_categories:text-generation",
"task_categories:text2text-generation",
"task_categories:text-retrieval",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"not-for-all-audiences",
"region:us"
] | 2023-06-23T02:31:19+00:00 | {"language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "task_categories": ["text-classification", "text-generation", "text2text-generation", "text-retrieval"], "pretty_name": "Falling through the Skies", "tags": ["not-for-all-audiences"]} | 2023-08-09T14:24:26+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-text-generation #task_categories-text2text-generation #task_categories-text-retrieval #multilinguality-monolingual #size_categories-100K<n<1M #language-English #license-mit #not-for-all-audiences #region-us
|
# Dataset Card for Falling through the Skies
## Dataset Description
- Homepage: Nowhere else except here.
- Repository: Here!
- Paper: Nil
- Leaderboard: Nil
- Point of Contact: KaraKaraWitch
### Dataset Summary
*Falling through the Skies* is an unfiltered dump of 592k stories literotica.
### Supported Tasks and ... | [
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"... | [
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f73178c38851b0496a962ec18e007d536580b0c1 |
# Preset Arena dataset
## Description
* **dataset.json**: contains pairs of completions generated with different presets for the same prompts. The chat prompts were constructed based on [SODA](https://huggingface.co/datasets/allenai/soda), whereas the instruct prompts were extracted from [WizardLM_evol_instruct_70k]... | oobabooga/preset-arena | [
"license:cc-by-4.0",
"region:us"
] | 2023-06-23T03:05:36+00:00 | {"license": "cc-by-4.0"} | 2023-06-23T04:32:28+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
# Preset Arena dataset
## Description
* URL: contains pairs of completions generated with different presets for the same prompts. The chat prompts were constructed based on SODA, whereas the instruct prompts were extracted from WizardLM_evol_instruct_70k.
* URL: the votes given by users. Each vote contains two field... | [
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97f545a3baa0f5edf1c1516c7cc20b71b69c31c0 | # Dataset Card for "COCOStuff10K"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | GATE-engine/COCOStuff10K | [
"region:us"
] | 2023-06-23T03:55:07+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "mask", "dtype": "image"}], "splits": [{"name": "test", "num_bytes": 490670380.0, "num_examples": 1000}, {"name": "train", "num_bytes": 4380309288.0, "num_examples": 9000}], "download_size": 4871873017, "dataset_size": 4870979668.0}} | 2023-06-23T04:01:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "COCOStuff10K"
More Information needed | [
"# Dataset Card for \"COCOStuff10K\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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d59fec79653d8c1013b0868a1728e626438ffc2d | # Dataset Card for "for_finetune_calm_ja"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Jumtra/for_finetune_calm_ja | [
"region:us"
] | 2023-06-23T04:00:13+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 222653673.7977204, "num_examples": 221007}, {"name": "test", "num_bytes": 9277614.202279598, "num_examples": 9209}], "download_size": 114087325, "dataset_size": 23193... | 2023-06-23T04:00:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "for_finetune_calm_ja"
More Information needed | [
"# Dataset Card for \"for_finetune_calm_ja\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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209e40274ed066aaa1e7ab1a529f312dbd83d107 | # Dataset Card for "OCR_10k_01"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | DataStudio/OCR_10k_01 | [
"region:us"
] | 2023-06-23T05:36:38+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 661472532.875, "num_examples": 10521}], "download_size": 659756871, "dataset_size": 661472532.875}} | 2023-06-23T05:36:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OCR_10k_01"
More Information needed | [
"# Dataset Card for \"OCR_10k_01\"\n\nMore Information needed"
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0ca49873b33d5784581b74c23bccd9e9db8dec7c | # Dataset Card for "nyaya-st-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sukantan/nyaya-st-test | [
"region:us"
] | 2023-06-23T05:44:04+00:00 | {"dataset_info": {"features": [{"name": "test_id", "dtype": "string"}, {"name": "act", "dtype": "string"}, {"name": "section_no", "dtype": "string"}, {"name": "case_matter", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 94271, "num_examples": 492}], "download_size": 45018, "dataset_size": 94271}} | 2023-06-23T05:57:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nyaya-st-test"
More Information needed | [
"# Dataset Card for \"nyaya-st-test\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"nyaya-st-test\"\n\nMore Information needed"
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bda561799bc8803d486f6a6f1e7dca771163c77f | # SuperDataset
Created from AIOD platform | mtkinit/SuperDataset | [
"region:us"
] | 2023-06-23T06:09:18+00:00 | {"pretty_name": "SuperDataset"} | 2023-06-23T06:09:19+00:00 | [] | [] | TAGS
#region-us
| # SuperDataset
Created from AIOD platform | [
"# SuperDataset\nCreated from AIOD platform"
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2902039a7e836ee6baeb01975e521905ff77656e | # AutoTrain Dataset for project: based-in-fact
## Dataset Description
This dataset has been automatically processed by AutoTrain for project based-in-fact.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```jso... | safufu/autotrain-data-based-in-fact | [
"task_categories:text-classification",
"language:zh",
"region:us"
] | 2023-06-23T06:31:05+00:00 | {"language": ["zh"], "task_categories": ["text-classification"]} | 2023-06-24T02:47:14+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-classification #language-Chinese #region-us
| AutoTrain Dataset for project: based-in-fact
============================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project based-in-fact.
### 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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c2f01b80bb423d470b69bd4b322f304e88f25dc6 | # Super-dataset-33
Created from AIOD platform | mtkinit/Super-dataset-33 | [
"region:us"
] | 2023-06-23T06:45:06+00:00 | {"pretty_name": "Super-dataset-33"} | 2023-06-23T06:45:07+00:00 | [] | [] | TAGS
#region-us
| # Super-dataset-33
Created from AIOD platform | [
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f04bb20ddce4b1dbcfb95b10e5573121d871bf5f | # LJ Speech Dataset | MikhailT/lj-speech | [
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-06-23T07:10:31+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "pretty_name": "LJ Speech", "dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "spoken_text", "dtype": "string"}, {"name": "normalized_text", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate"... | 2023-06-23T08:05:50+00:00 | [] | [
"en"
] | TAGS
#size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us
| # LJ Speech Dataset | [
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6f26f89f312546037aa11e6cd0605cf77e2c0e4e | # Dataset Card for "test_data_100QA"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Jumtra/test_data_100QA | [
"region:us"
] | 2023-06-23T07:15:43+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19333, "num_examples": 100}], "download_size": 12956, "dataset_size": 19333}} | 2023-06-23T07:15:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_data_100QA"
More Information needed | [
"# Dataset Card for \"test_data_100QA\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"test_data_100QA\"\n\nMore Information needed"
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d5b19e6ff1d45ecac005da2e10d5423746b75c19 | DBpedia Abstracts | gryffindor-ISWS/dbpedia_abstracts_fictional_characters_with_img | [
"language:en",
"license:gpl-3.0",
"region:us"
] | 2023-06-23T07:50:51+00:00 | {"language": ["en"], "license": "gpl-3.0"} | 2023-06-23T08:09:45+00:00 | [] | [
"en"
] | TAGS
#language-English #license-gpl-3.0 #region-us
| DBpedia Abstracts | [] | [
"TAGS\n#language-English #license-gpl-3.0 #region-us \n"
] | [
18
] | [
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65cdfcf1c6b4baff4ea965382b3e47e702fcd4c6 | from transformers import pipeline
dataset_name = "GannaHelal/smile.Ai_traindataset"
faces = load_dataset(dataset_name)
faces = faces["train"]
captioner = pipeline("image-to-text",model="Salesforce/blip-image-captioning-large", device=0)
def caption_image_data(example):
image = example["image"]
image_caption ... | GannaHelal/smile.Ai_traindataset | [
"region:us"
] | 2023-06-23T08:11:36+00:00 | {} | 2023-06-23T14:10:19+00:00 | [] | [] | TAGS
#region-us
| from transformers import pipeline
dataset_name = "GannaHelal/smile.Ai_traindataset"
faces = load_dataset(dataset_name)
faces = faces["train"]
captioner = pipeline("image-to-text",model="Salesforce/blip-image-captioning-large", device=0)
def caption_image_data(example):
image = example["image"]
image_caption ... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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038b8778ce14396aeabae08b295265ee0fa9f16f | # Dataset Card for "caab9c3c"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | results-sd-v1-5-sd-v2-1-if-v1-0-karlo/caab9c3c | [
"region:us"
] | 2023-06-23T08:17:19+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 180, "num_examples": 10}], "download_size": 1329, "dataset_size": 180}} | 2023-06-23T08:17:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "caab9c3c"
More Information needed | [
"# Dataset Card for \"caab9c3c\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"caab9c3c\"\n\nMore Information needed"
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] |
43ca5dcf773c10fbcf223ffa5912c149e6d5a14a | start
export
end | ipaseras/000 | [
"region:us"
] | 2023-06-23T09:10:05+00:00 | {} | 2023-06-23T09:11:13+00:00 | [] | [] | TAGS
#region-us
| start
export
end | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
a1deb33f2f22fea2ab37ab52277bbfc50dcc7118 | # Dataset Card for "nature-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mertcobanov/nature-dataset | [
"region:us"
] | 2023-06-23T09:36:31+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2479032885.0, "num_examples": 50000}], "download_size": 2613171621, "dataset_size": 2479032885.0}} | 2023-06-23T10:22:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nature-dataset"
More Information needed | [
"# Dataset Card for \"nature-dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"nature-dataset\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"nature-dataset\"\n\nMore Information needed"
] |
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