sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ba4f8e48ba4afaca6c6831ee2341004a03cc2df7 |
Source: https://github.com/rudinger/winogender-schemas/tree/master
```
@InProceedings{rudinger-EtAl:2018:N18,
author = {Rudinger, Rachel and Naradowsky, Jason and Leonard, Brian and {Van Durme}, Benjamin},
title = {Gender Bias in Coreference Resolution},
booktitle = {Proceedings of the 2018 Confere... | oskarvanderwal/winogender | [
"language:en",
"license:mit",
"gender bias",
"region:us"
] | 2023-11-28T15:50:16+00:00 | {"language": ["en"], "license": "mit", "pretty_name": "Winogender", "tags": ["gender bias"], "configs": [{"config_name": "all", "data_files": [{"split": "test", "path": "test.tsv"}]}, {"config_name": "gotcha", "data_files": [{"split": "test", "path": "gotcha.tsv"}]}]} | 2023-12-20T10:26:26+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #gender bias #region-us
|
Source: URL
| [] | [
"TAGS\n#language-English #license-mit #gender bias #region-us \n"
] | [
20
] | [
"passage: TAGS\n#language-English #license-mit #gender bias #region-us \n"
] |
a7e9786e3930b57ae95d38859106e4b50444f943 | # Dataset Card for "google-argentinian-spanish"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ylacombe/google-argentinian-spanish | [
"region:us"
] | 2023-11-28T15:57:18+00:00 | {"dataset_info": [{"config_name": "female", "features": [{"name": "audio", "dtype": "audio"}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1928460472.968, "num_examples": 3921}], "download_size": 1625565296, "dataset_size": 1928460472.968}, {"... | 2023-11-28T15:59:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "google-argentinian-spanish"
More Information needed | [
"# Dataset Card for \"google-argentinian-spanish\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"google-argentinian-spanish\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"google-argentinian-spanish\"\n\nMore Information needed"
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18c187b1bfa6f5ada649e4886d02744ea9acafa2 | # Dataset Card for "google-colombian-spanish"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ylacombe/google-colombian-spanish | [
"region:us"
] | 2023-11-28T15:58:13+00:00 | {"dataset_info": [{"config_name": "female", "features": [{"name": "audio", "dtype": "audio"}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1280346176.08, "num_examples": 2369}], "download_size": 1038790546, "dataset_size": 1280346176.08}, {"co... | 2023-11-28T15:59:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "google-colombian-spanish"
More Information needed | [
"# Dataset Card for \"google-colombian-spanish\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"google-colombian-spanish\"\n\nMore Information needed"
] | [
6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"google-colombian-spanish\"\n\nMore Information needed"
] |
5271b0be5f3acfa9b066b6ecf2430e6bb08fec27 | # Dataset Card for "google-gujarati"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ylacombe/google-gujarati | [
"region:us"
] | 2023-11-28T15:59:19+00:00 | {"dataset_info": [{"config_name": "female", "features": [{"name": "audio", "dtype": "audio"}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1481707913.184, "num_examples": 2219}], "download_size": 1171501409, "dataset_size": 1481707913.184}, {"... | 2023-11-28T16:00:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "google-gujarati"
More Information needed | [
"# Dataset Card for \"google-gujarati\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"google-gujarati\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"google-gujarati\"\n\nMore Information needed"
] |
c7ab886515fbc6d1f0fa7cc53df3019e9f381762 | # Dataset Card for "google-marathi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ylacombe/google-marathi | [
"region:us"
] | 2023-11-28T16:00:41+00:00 | {"dataset_info": {"config_name": "female", "features": [{"name": "audio", "dtype": "audio"}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1044821483.114, "num_examples": 1569}], "download_size": 866109308, "dataset_size": 1044821483.114}, "con... | 2023-11-28T16:01:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "google-marathi"
More Information needed | [
"# Dataset Card for \"google-marathi\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"google-marathi\"\n\nMore Information needed"
] | [
6,
13
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"passage: TAGS\n#region-us \n# Dataset Card for \"google-marathi\"\n\nMore Information needed"
] |
4943c6038da98ca71f0f61ae7fd5ea5bf7c3d060 | ## MVTec Capsule Category
### Dataset Labels
```
{0: "normal", 1: "abnormal"}
```
### Number of Images
```json
{'train': 219, 'test': 132}
```
### How to Use
- Install [datasets](https://pypi.org/project/datasets/):
```bash
pip install datasets
```
- Load the dataset:
```python
from datasets import load_data... | alexsu52/mvtec_capsule | [
"task_categories:image-classification",
"task_categories:image-segmentation",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-11-28T16:06:49+00:00 | {"license": "cc-by-nc-sa-4.0", "task_categories": ["image-classification", "image-segmentation"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "mask", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "normal", "1": "abnormal"}}}}], "splits": [{"name": "train",... | 2023-12-01T10:52:17+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-image-segmentation #license-cc-by-nc-sa-4.0 #region-us
| ## MVTec Capsule Category
### Dataset Labels
### Number of Images
### How to Use
- Install datasets:
- Load the dataset:
### MVTEC Dataset Page
URL
Paul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, Carsten Steger: The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset fo... | [
"## MVTec Capsule Category",
"### Dataset Labels",
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"### MVTEC Dataset Page\nURL\n\nPaul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, Carsten Steger: The MVTec Anomaly Detection Dataset: A Comprehensive... | [
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"### Dataset Labels",
"### Number of Images",
"### How to Use\n\n- Install datasets:\n\n\n\n- Load the dataset:",
"### MVTEC Dataset Page\nURL\n\nPaul Berg... | [
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12e0ad9679599912c7aecb5eac814b6891c2f3f9 | Dataset using the bert-cased tokenizer, cutoff sentences to 512 length (not sentence pairs), all sentence pairs extracted.
Original datasets:
- https://huggingface.co/datasets/bookcorpus
- https://huggingface.co/datasets/wikipedia Variant: 20220301.en | gmongaras/BERT_Base_Cased_512_Dataset | [
"region:us"
] | 2023-11-28T16:22:43+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36961083473, "num_examples": 136338653}], "download_size": 13895887135, "dataset_size": 36961083473}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-28T19:38:13+00:00 | [] | [] | TAGS
#region-us
| Dataset using the bert-cased tokenizer, cutoff sentences to 512 length (not sentence pairs), all sentence pairs extracted.
Original datasets:
- URL
- URL Variant: URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
4ee347e5d8edd1efb3cd74ca2e7612c1983522c2 | # Dataset Card for "iliad_odyssey_aligned_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pnadel/iliad_odyssey_aligned_prompts | [
"region:us"
] | 2023-11-28T16:48:53+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "sentid", "dtype": "string"}, {"name": "cit", "dtype": "string"}, {"name": "Eng", "dtype": "string"}, {"name": "Gk", "dtype": "string"}, ... | 2023-11-28T16:48:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "iliad_odyssey_aligned_prompts"
More Information needed | [
"# Dataset Card for \"iliad_odyssey_aligned_prompts\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"iliad_odyssey_aligned_prompts\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"iliad_odyssey_aligned_prompts\"\n\nMore Information needed"
] |
c9da69ef5f4afe8a19073a1c04b839a83987ac29 | colab notebook: https://colab.research.google.com/drive/1LoT0hGbwRwmsVITQLNzTDuFjyWlcfyxL#scrollTo=VOmUDbrYlUYe | Hasan-Mesbaul-420/TEST_testing_audio01 | [
"region:us"
] | 2023-11-28T16:49:41+00:00 | {"dataset_info": {"features": [{"name": "Audio File Path", "dtype": "string"}, {"name": "array", "sequence": "float64"}, {"name": "sampling_rate", "dtype": "int64"}, {"name": "audio", "struct": [{"name": "array", "sequence": "float64"}, {"name": "path", "dtype": "string"}, {"name": "sampling_rate", "dtype": "int64"}]}]... | 2023-11-28T16:54:09+00:00 | [] | [] | TAGS
#region-us
| colab notebook: URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
db871e75c268f062e3ca5913ac7debf7924a5f29 |
# Creating Cloud-Cloudless Paired Dataset
To generate the Cloud-Cloudless Paired Dataset, we utilize an existing dataset that encompasses imagery from five municipalities in Colombia. This dataset is structured with each municipality containing 165 images, acquired through the satellite_extractor API and based on S... | MITCriticalData/cloud2cloudless_dataset_5_municipalities | [
"license:mit",
"region:us"
] | 2023-11-28T18:42:07+00:00 | {"license": "mit"} | 2023-11-29T14:12:25+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Creating Cloud-Cloudless Paired Dataset
To generate the Cloud-Cloudless Paired Dataset, we utilize an existing dataset that encompasses imagery from five municipalities in Colombia. This dataset is structured with each municipality containing 165 images, acquired through the satellite_extractor API and based on S... | [
"# Creating Cloud-Cloudless Paired Dataset\n\n\n\nTo generate the Cloud-Cloudless Paired Dataset, we utilize an existing dataset that encompasses imagery from five municipalities in Colombia. This dataset is structured with each municipality containing 165 images, acquired through the satellite_extractor API and ba... | [
"TAGS\n#license-mit #region-us \n",
"# Creating Cloud-Cloudless Paired Dataset\n\n\n\nTo generate the Cloud-Cloudless Paired Dataset, we utilize an existing dataset that encompasses imagery from five municipalities in Colombia. This dataset is structured with each municipality containing 165 images, acquired thro... | [
11,
490
] | [
"passage: TAGS\n#license-mit #region-us \n# Creating Cloud-Cloudless Paired Dataset\n\n\n\nTo generate the Cloud-Cloudless Paired Dataset, we utilize an existing dataset that encompasses imagery from five municipalities in Colombia. This dataset is structured with each municipality containing 165 images, acquired t... |
d0577ba2b207de1af48de00500135088a3d41595 | # Dataset Card for "perturbed-explanations-tiny"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cyrilzhang/perturbed-explanations-tiny | [
"region:us"
] | 2023-11-28T18:46:45+00:00 | {"dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "response_worse", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10701.0, "num_examples": 18}, {"name": "test", "num_bytes": 1189.0, "num_examples": 2}], "download_size": 0, "dataset_si... | 2023-11-28T18:47:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "perturbed-explanations-tiny"
More Information needed | [
"# Dataset Card for \"perturbed-explanations-tiny\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"perturbed-explanations-tiny\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"perturbed-explanations-tiny\"\n\nMore Information needed"
] |
1683f557fcd4a61838d093e55afc8bf0b3d7e2a0 |
This is a very small sample from PKU-Alignment/PKU-SafeRLHF-10K that has been processed for QA. | MelioAI/safety-qa-sample | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-11-28T19:02:26+00:00 | {"license": "cc-by-nc-4.0", "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "context", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 219061.38757718852, "num_examples": 500}, {"name": "valid", "num_bytes": 43812.2775154377, "nu... | 2023-11-30T14:44:34+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
This is a very small sample from PKU-Alignment/PKU-SafeRLHF-10K that has been processed for QA. | [] | [
"TAGS\n#license-cc-by-nc-4.0 #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n"
] |
ea1ee8abe656c6606df03392c3a7e0092dd4a8b8 | # Dataset Card for "contracts_v8"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | paul-w-qs/contracts_v8 | [
"region:us"
] | 2023-11-28T19:32:45+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "TABLE_STYLE", "dtype": "string"}, {"name": "JSON_LABEL", "dtype": "string"}, {"name": "DICT_LABEL", "dtype": "string"}, {"name": "question", ... | 2023-11-28T19:34:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "contracts_v8"
More Information needed | [
"# Dataset Card for \"contracts_v8\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"contracts_v8\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"contracts_v8\"\n\nMore Information needed"
] |
ccbc49eba186c2e042a99bac3013b97ba40fd0a8 | Dataset using the bert-cased tokenizer, cutoff sentences to 512 length (not sentence pairs), all sentence pairs extracted.
Original datasets:
https://huggingface.co/datasets/bookcorpus
https://huggingface.co/datasets/wikipedia Variant: 20220301.en
Mapped from: https://huggingface.co/datasets/gmongaras/BERT_Base_Cas... | gmongaras/BERT_Base_Cased_512_Dataset_Mapped | [
"region:us"
] | 2023-11-28T19:43:32+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 52875464012.02522, "num_examples": 136226984}], "download_size": 17583618282, "dataset_size": 52875464012.... | 2023-11-29T07:10:37+00:00 | [] | [] | TAGS
#region-us
| Dataset using the bert-cased tokenizer, cutoff sentences to 512 length (not sentence pairs), all sentence pairs extracted.
Original datasets:
URL
URL Variant: URL
Mapped from: URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
4c0312ebe79c2946cefa60c32f5c35bbfc7cd56b |
# Bangumi Image Base of Nodame Cantabile
This is the image base of bangumi Nodame Cantabile, we detected 31 characters, 5634 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train mo... | BangumiBase/nodamecantabile | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-28T19:55:05+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-28T22:32:30+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Nodame Cantabile
======================================
This is the image base of bangumi Nodame Cantabile, we detected 31 characters, 5634 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you inte... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
7efd8fa83b0f8b6c3e0c9fa0ef83cb535a4503e8 |
# Bangumi Image Base of Mahou Shoujo Pretty Sammy
This is the image base of bangumi Mahou Shoujo Pretty Sammy, we detected 40 characters, 2878 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to... | BangumiBase/mahoushoujoprettysammy | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-28T19:56:15+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-29T03:23:04+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Mahou Shoujo Pretty Sammy
===============================================
This is the image base of bangumi Mahou Shoujo Pretty Sammy, we detected 40 characters, 2878 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may b... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
d8c2e79aac8c569d3686110f9504512d26c876a8 | # Dataset Card for "bootstrap_sms"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | BubbleJoe/bootstrap_sms | [
"region:us"
] | 2023-11-28T20:05:50+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 473170, "num_examples": 1325}], "download_size": 106042, "dataset_size": 473170}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-28T20:05:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bootstrap_sms"
More Information needed | [
"# Dataset Card for \"bootstrap_sms\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bootstrap_sms\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bootstrap_sms\"\n\nMore Information needed"
] |
fad97e0aa292e6c855d01b0b8e94ad20a30e113d |
# Bangumi Image Base of Hinamatsuri
This is the image base of bangumi Hinamatsuri, we detected 23 characters, 1820 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using... | BangumiBase/hinamatsuri | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-28T20:08:48+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-28T21:12:18+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Hinamatsuri
=================================
This is the image base of bangumi Hinamatsuri, we detected 23 characters, 1820 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually ... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
e6caf949d7419debf3ef97bdf198c02d233f8296 | # Dataset Card for "summarize_from_feedback_oai_preprocessing_gpt2_153"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vwxyzjn/summarize_from_feedback_oai_preprocessing_gpt2_153 | [
"region:us"
] | 2023-11-28T20:17:54+00:00 | {"dataset_info": {"features": [{"name": "info", "struct": [{"name": "id", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "site", "dtype": "string"}, {"name": "article", "dtype": "string"}]}, {"name": "summaries", "list": ... | 2023-12-24T22:52:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_from_feedback_oai_preprocessing_gpt2_153"
More Information needed | [
"# Dataset Card for \"summarize_from_feedback_oai_preprocessing_gpt2_153\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"summarize_from_feedback_oai_preprocessing_gpt2_153\"\n\nMore Information needed"
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6,
31
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"passage: TAGS\n#region-us \n# Dataset Card for \"summarize_from_feedback_oai_preprocessing_gpt2_153\"\n\nMore Information needed"
] |
e54c05f5f5eb5c852d2692de02cd36dfccf036ba | # TL;DR SFT Dataset for OpenAI's [Summarize from Feedback](https://openai.com/blog/summarization/) task
The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset
These columns are taken directly from the aforementioned datase... | vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_pythia-160m_53 | [
"region:us"
] | 2023-11-28T20:28:58+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "query_token", "sequence": "int64"}, {"name": "query", "dtype": "string"}, {"name": "ref... | 2023-12-24T23:01:57+00:00 | [] | [] | TAGS
#region-us
| # TL;DR SFT Dataset for OpenAI's Summarize from Feedback task
The dataset is directly taken from URL
These columns are taken directly from the aforementioned dataset:
* id: unique identifier for the post
* subreddit: subreddit the post was taken from
* title: title of the post
* post: body of the post
* summary: sum... | [
"# TL;DR SFT Dataset for OpenAI's Summarize from Feedback task\n\nThe dataset is directly taken from URL\n\nThese columns are taken directly from the aforementioned dataset:\n\n* id: unique identifier for the post\n* subreddit: subreddit the post was taken from\n* title: title of the post\n* post: body of the post\... | [
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da6f8f9fda14201d119047b9c6c6cd647037e33f | # Dataset Card for "summarize_from_feedback_oai_preprocessing_pythia-160m_169"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vwxyzjn/summarize_from_feedback_oai_preprocessing_pythia-160m_169 | [
"region:us"
] | 2023-11-28T20:29:54+00:00 | {"dataset_info": {"features": [{"name": "info", "struct": [{"name": "id", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "site", "dtype": "string"}, {"name": "article", "dtype": "string"}]}, {"name": "summaries", "list": ... | 2023-12-24T23:04:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_from_feedback_oai_preprocessing_pythia-160m_169"
More Information needed | [
"# Dataset Card for \"summarize_from_feedback_oai_preprocessing_pythia-160m_169\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"summarize_from_feedback_oai_preprocessing_pythia-160m_169\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"summarize_from_feedback_oai_preprocessing_pythia-160m_169\"\n\nMore Information needed"
] |
14a4b752c3f885bfd46bb7e50d334c3912826c9e | # Dataset Card for "es-2811-no-demoji-m"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gg-ai/es-2811-no-demoji-m | [
"region:us"
] | 2023-11-28T20:34:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "clean_text", "dtype": "string"}, {"name": "sent", "dtype": ... | 2023-11-28T20:34:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "es-2811-no-demoji-m"
More Information needed | [
"# Dataset Card for \"es-2811-no-demoji-m\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"es-2811-no-demoji-m\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"es-2811-no-demoji-m\"\n\nMore Information needed"
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902d1f41cc22600653dcdb0835123a9f710c0a64 | data for 182 | aldenn13l/182-fine-tune | [
"region:us"
] | 2023-11-28T21:28:08+00:00 | {"dataset_info": {"features": [{"name": "original_image", "dtype": "image"}, {"name": "edit_prompt", "dtype": "string"}, {"name": "new_image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1432179908.95, "num_examples": 1291}], "download_size": 1428584756, "dataset_size": 1432179908.95}, "configs": [{"c... | 2023-12-06T09:27:26+00:00 | [] | [] | TAGS
#region-us
| data for 182 | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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5e2f486995e97034ef68a711d5c8fa8a1269ae5c | # Dataset Card for "french_poetry"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | manu/french_poetry | [
"region:us"
] | 2023-11-28T22:18:48+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "poet", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "link", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3286614, "num_examples": 1821}], "download_size": 2072389, "da... | 2023-11-28T22:24:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "french_poetry"
More Information needed | [
"# Dataset Card for \"french_poetry\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"french_poetry\"\n\nMore Information needed"
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6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"french_poetry\"\n\nMore Information needed"
] |
1802898ca3935339dd37117394f47682b535ed62 | # Dataset Card for "pretrain_sts_extend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | xwjzds/pretrain_sts_extend | [
"region:us"
] | 2023-11-28T22:44:25+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1664682, "num_examples": 5657}], "download_size": 1024627, "dataset_size": 1664682}} | 2023-11-28T22:44:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pretrain_sts_extend"
More Information needed | [
"# Dataset Card for \"pretrain_sts_extend\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pretrain_sts_extend\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"pretrain_sts_extend\"\n\nMore Information needed"
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e0430c60721c9f61cf90055a8cb77d5eca7b0b95 | # ChatML DPO Pairs
This is a preprocessed version of [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) using the [ChatML](https://huggingface.co/docs/transformers/chat_templating) format.
Like the original dataset, it contains 12k examples from [Orca](https://arxiv.org/abs/2306.02707) style... | mlabonne/chatml_dpo_pairs | [
"task_categories:text-generation",
"task_categories:question-answering",
"task_categories:summarization",
"task_categories:conversational",
"size_categories:10K<n<100K",
"license:apache-2.0",
"arxiv:2306.02707",
"region:us"
] | 2023-11-28T23:22:38+00:00 | {"license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation", "question-answering", "summarization", "conversational"], "pretty_name": "ChatML DPO Pairs", "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected"... | 2023-11-28T23:27:55+00:00 | [
"2306.02707"
] | [] | TAGS
#task_categories-text-generation #task_categories-question-answering #task_categories-summarization #task_categories-conversational #size_categories-10K<n<100K #license-apache-2.0 #arxiv-2306.02707 #region-us
| # ChatML DPO Pairs
This is a preprocessed version of Intel/orca_dpo_pairs using the ChatML format.
Like the original dataset, it contains 12k examples from Orca style dataset Open-Orca/OpenOrca.
Here is the code used to preprocess it:
| [
"# ChatML DPO Pairs\n\nThis is a preprocessed version of Intel/orca_dpo_pairs using the ChatML format.\n\nLike the original dataset, it contains 12k examples from Orca style dataset Open-Orca/OpenOrca.\n\nHere is the code used to preprocess it:"
] | [
"TAGS\n#task_categories-text-generation #task_categories-question-answering #task_categories-summarization #task_categories-conversational #size_categories-10K<n<100K #license-apache-2.0 #arxiv-2306.02707 #region-us \n",
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8185e74b8e6f29af244c46be9c4af9d83a3b2576 | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
Language models (LMs) commonly report perplexity on monolithic data held out from the training distribution.
Implicitly or explicitly, this data is composed of domains—variations in the distribution of language. Rather than assuming perp... | allenai/paloma | [
"arxiv:2312.10523",
"arxiv:2305.13169",
"region:us"
] | 2023-11-28T23:51:50+00:00 | {"extra_gated_prompt": "Access to this dataset is automatically granted upon accepting the [**AI2 ImpACT License \u2013 Low Risk Artifacts (\u201cLR Agreement\u201d)**](https://allenai.org/licenses/impact-lr) and completing all fields below. All data subsets in this dataset are licensed under the LR Agreement, except f... | 2023-12-20T21:55:08+00:00 | [
"2312.10523",
"2305.13169"
] | [] | TAGS
#arxiv-2312.10523 #arxiv-2305.13169 #region-us
| Dataset Card for Dataset Name
=============================
Language models (LMs) commonly report perplexity on monolithic data held out from the training distribution.
Implicitly or explicitly, this data is composed of domains—variations in the distribution of language. Rather than assuming perplexity on one distrib... | [
"### Benchmark Inference and Submissions\n\n\nWe invite submissions to our benchmark and organize results by comparability based on compliance with guidelines such as the removal of benchmark contamination from pretraining. Standardized inference code for running comprable evaluations and details about making submi... | [
"TAGS\n#arxiv-2312.10523 #arxiv-2305.13169 #region-us \n",
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58ca69c580dd550e42026452a57e53db571b84da |
# Mosaic format for filtered combine dataset to finetune TinyLlama models
This repository is to store dataset shards using mosaic format.
1. https://github.com/malaysia-ai/dedup-text-dataset/blob/main/tinyllama/combine-dataset.ipynb
2. using tokenizer https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step... | malaysia-ai/mosaic-tinyllama | [
"language:ms",
"region:us"
] | 2023-11-29T00:52:51+00:00 | {"language": ["ms"]} | 2023-11-29T06:27:54+00:00 | [] | [
"ms"
] | TAGS
#language-Malay (macrolanguage) #region-us
|
# Mosaic format for filtered combine dataset to finetune TinyLlama models
This repository is to store dataset shards using mosaic format.
1. URL
2. using tokenizer URL
3. 4096 context length.
## how-to
1. git clone,
2. load it,
| [
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] |
2e4080bf31f4ab4fa360e1c3ea0d5aaad5a4b9c9 | Origianl Datasets
- Open-Orca/OpenOrca
- kyujinpy/OpenOrca-KO | jhflow/orca_ko_en_pair | [
"region:us"
] | 2023-11-29T01:41:24+00:00 | {} | 2023-12-04T02:31:53+00:00 | [] | [] | TAGS
#region-us
| Origianl Datasets
- Open-Orca/OpenOrca
- kyujinpy/OpenOrca-KO | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
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034d1935a4e3268ab3cefd02f46e4c1faa380282 |
### Dataset Description
#### Title
**Legal Texts and Summaries Dataset**
#### Description
This dataset is a collection of legal documents and their associated summaries, subjects (materia), and keywords (voces). It is primarily focused on the field of labor law, with particular emphasis on legal proceedings, labor ... | harpomaxx/jurisgpt | [
"license:openrail",
"region:us"
] | 2023-11-29T02:03:28+00:00 | {"license": "openrail", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "train_set.json"}, {"split": "test", "path": "test_set.json"}]}]} | 2023-11-29T14:24:29+00:00 | [] | [] | TAGS
#license-openrail #region-us
|
### Dataset Description
#### Title
Legal Texts and Summaries Dataset
#### Description
This dataset is a collection of legal documents and their associated summaries, subjects (materia), and keywords (voces). It is primarily focused on the field of labor law, with particular emphasis on legal proceedings, labor righ... | [
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675a205c3527a5dbc59adb59139c7ec94e9a704c |
# Bangumi Image Base of Seirei No Moribito
This is the image base of bangumi Seirei no Moribito, we detected 26 characters, 2981 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually trai... | BangumiBase/seireinomoribito | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-29T02:18:40+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-29T04:06:55+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Seirei No Moribito
========================================
This is the image base of bangumi Seirei no Moribito, we detected 26 characters, 2981 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If yo... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
6517e60c771b3054cbe1cdd19e1a1678c24ee04e |
# Bangumi Image Base of Jigoku Shoujo - Yoi No Togi
This is the image base of bangumi Jigoku Shoujo - Yoi no Togi, we detected 53 characters, 2595 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you inten... | BangumiBase/jigokushoujoyoinotogi | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-29T02:50:13+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-29T04:33:53+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Jigoku Shoujo - Yoi No Togi
=================================================
This is the image base of bangumi Jigoku Shoujo - Yoi no Togi, we detected 53 characters, 2595 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
d892b0fc6184bdd711f44088cf787333f3eaffd1 |
# Bangumi Image Base of Jigoku Shoujo
This is the image base of bangumi Jigoku Shoujo, we detected 89 characters, 6611 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models u... | BangumiBase/jigokushoujo | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-29T02:55:17+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-29T05:08:17+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Jigoku Shoujo
===================================
This is the image base of bangumi Jigoku Shoujo, we detected 89 characters, 6611 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to man... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
94f8f27169236642b3242f405dfb784690f25d56 | # Dataset Card for "repo_name"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nikalal/repo_name | [
"region:us"
] | 2023-11-29T03:24:00+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1441016.0, "num_e... | 2023-12-01T06:29:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "repo_name"
More Information needed | [
"# Dataset Card for \"repo_name\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"repo_name\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"repo_name\"\n\nMore Information needed"
] |
a1ec3c7be11b11ca96850afef741d77893d0ff05 | # Dataset Card for "SurfaceRoughness"
### Dataset Summary
A collection of data representing surface roughness categories of B, C, and D according to ASCE 7-16 26.7.2
### Data Structure
An example looks like below:
```python
{'image': <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=1041x639>,
'label': 0,}
`... | sh-zheng/SurfaceRoughness | [
"region:us"
] | 2023-11-29T03:31:08+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "RoughnessB", "1": "RoughnessC", "2": "RoughnessD"}}}}], "splits": [{"name": "train", "num_bytes": 49679719.0, "num_examples": 66}, {"name": "validation", "num_bytes": 17272712.0, "num_examples... | 2023-11-29T04:06:42+00:00 | [] | [] | TAGS
#region-us
| Dataset Card for "SurfaceRoughness"
===================================
### Dataset Summary
A collection of data representing surface roughness categories of B, C, and D according to ASCE 7-16 26.7.2
### Data Structure
An example looks like below:
### Data Split
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] |
fe725b939224152a19b580e99b16f90ca962e361 |
# Bangumi Image Base of Jigokuraku
This is the image base of bangumi Jigokuraku, we detected 36 characters, 2877 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using t... | BangumiBase/jigokuraku | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-29T03:45:45+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-29T05:56:41+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Jigokuraku
================================
This is the image base of bangumi Jigokuraku, we detected 36 characters, 2877 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually tra... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
cc500f6a14191fb98b64df6c2065acdbe38c372c |
Portuguese and English Translations of readme are available here.
----
UNCLEANED VERSION - XLS format, which could be combined and cleaned
Combined and partially cleaned, partially reformatted, partial ETL version is available at Solshine/Portuguese-English-Vocab-PartiallyTransformed
*English Readme:*
**Bridging ... | Solshine/Portuguese-English_MPC_for_NLP_UNCLEANED | [
"license:mit",
"region:us"
] | 2023-11-29T05:16:53+00:00 | {"license": "mit"} | 2023-12-03T08:16:50+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Portuguese and English Translations of readme are available here.
----
UNCLEANED VERSION - XLS format, which could be combined and cleaned
Combined and partially cleaned, partially reformatted, partial ETL version is available at Solshine/Portuguese-English-Vocab-PartiallyTransformed
*English Readme:*
Bridging La... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
1a8a3f88c959b057ddd44c8bcef6846f10df9104 | # Dataset Card for "RedPajama-combined-15B-6K-llama"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | awettig/RedPajama-combined-15B-6K-llama | [
"region:us"
] | 2023-11-29T05:23:32+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 1422094968, "num_examples": 17802}, {"name": "train", "num_bytes": 192480977304, "num_examples": 2409506}], "downl... | 2023-11-29T16:45:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "RedPajama-combined-15B-6K-llama"
More Information needed | [
"# Dataset Card for \"RedPajama-combined-15B-6K-llama\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"RedPajama-combined-15B-6K-llama\"\n\nMore Information needed"
] |
4173bee130948ad01d2412694c0e6ff515c08aa2 | --- | Jession01/English-Cebuano-Translation | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-11-29T05:24:24+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation"]} | 2023-11-30T01:26:55+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #license-apache-2.0 #region-us
| --- | [] | [
"TAGS\n#task_categories-text-generation #language-English #license-apache-2.0 #region-us \n"
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bc8519dde97c31462d6d55815c6f3da3a6d538b5 | # Dataset Card for "RedPajama-combined-15B-8K-llama"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | awettig/RedPajama-combined-15B-8k-llama | [
"region:us"
] | 2023-11-29T05:26:03+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 3181819992, "num_examples": 29874}, {"name": "train", "num_bytes": 188533325564, "num_examples": 1770133}], "downl... | 2023-11-30T07:16:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "RedPajama-combined-15B-8K-llama"
More Information needed | [
"# Dataset Card for \"RedPajama-combined-15B-8K-llama\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"RedPajama-combined-15B-8K-llama\"\n\nMore Information needed"
] |
60c4c8e207a82d7ba693767a26a036dc1af7877e | # Dataset Card for "ImageSearch"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jarvisx17/ImageSearch | [
"region:us"
] | 2023-11-29T05:26:29+00:00 | {"dataset_info": {"features": [{"name": "ID", "dtype": "string"}, {"name": "Filename", "dtype": "string"}, {"name": "link", "dtype": "string"}, {"name": "embeddings", "sequence": "float64"}], "splits": [{"name": "train", "num_bytes": 168391982, "num_examples": 31196}], "download_size": 135058186, "dataset_size": 168391... | 2023-11-29T05:26:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ImageSearch"
More Information needed | [
"# Dataset Card for \"ImageSearch\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ImageSearch\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ImageSearch\"\n\nMore Information needed"
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2dcdd05ca76ca3033433b78cc696459884d16977 |
### Load Dataset
```shell
pip install datasets
```
```python
from datasets import load_dataset
electricity = load_dataset("worldboss/electricity-prices", split="train")
pd.DataFrame(electricity).head()
```
### Author
The data was constructed by Theophilus Siameh (theodondre@gmail.com). | worldboss/electricity-prices | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:afl-3.0",
"ghana",
"electricity",
"region:us"
] | 2023-11-29T05:46:29+00:00 | {"language": ["en"], "license": "afl-3.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation"], "tags": ["ghana", "electricity"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "Oper Day", "dtype": "string"}... | 2023-11-29T05:52:38+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-1K<n<10K #language-English #license-afl-3.0 #ghana #electricity #region-us
|
### Load Dataset
### Author
The data was constructed by Theophilus Siameh (theodondre@URL). | [
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] |
70c47fd6decd9ad79649ff56ca34847b622982a7 | This dataset contains almost the entire history of the /r/puertorico subreddit (2012-2021), filtered into comment/reply pairs. Childness comments are omitted, and so is the OP content.
Format: ChatML
Disclaimer:
Content has not been filtered so if you look for things that you don't like, you are sure to find them.
T... | unclegravity/puertorico-reddit | [
"region:us"
] | 2023-11-29T05:54:58+00:00 | {} | 2023-12-16T07:02:06+00:00 | [] | [] | TAGS
#region-us
| This dataset contains almost the entire history of the /r/puertorico subreddit (2012-2021), filtered into comment/reply pairs. Childness comments are omitted, and so is the OP content.
Format: ChatML
Disclaimer:
Content has not been filtered so if you look for things that you don't like, you are sure to find them.
T... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
8a394d4e841485a66e0ae5ec8858f6cdddec3add |
Dataset presented in the paper "Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method" https://arxiv.org/abs/2209.09207
If you use this dataset, please cite this paper:
```
Haloi, M., Shekhar, S., Fande, N., & Dash, S. S. (2022). Table Detection in the Wild: A Novel Diverse Table Detection ... | n3011/STDW | [
"license:mit",
"arxiv:2209.09207",
"region:us"
] | 2023-11-29T06:20:59+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 7332835310.55, "num_examples": 7470}], "download_size": 6054347502, "dataset_size": 7332835310.55}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/trai... | 2023-11-30T06:22:06+00:00 | [
"2209.09207"
] | [] | TAGS
#license-mit #arxiv-2209.09207 #region-us
|
Dataset presented in the paper "Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method" URL
If you use this dataset, please cite this paper:
| [] | [
"TAGS\n#license-mit #arxiv-2209.09207 #region-us \n"
] | [
20
] | [
"passage: TAGS\n#license-mit #arxiv-2209.09207 #region-us \n"
] |
2a1086255d9a8c2df903c79a2324764d648991db | This dataset is a fork of [counsel-chat](https://huggingface.co/datasets/nbertagnolli/counsel-chat) modified to adhere to the alpaca instruction format.
`alpaca`: instruction; input(optional)
```json
{"instruction": "...", "input": "...", "output": "..."}
``` | steve-cse/counsel_chat | [
"region:us"
] | 2023-11-29T06:37:27+00:00 | {} | 2024-01-02T15:08:44+00:00 | [] | [] | TAGS
#region-us
| This dataset is a fork of counsel-chat modified to adhere to the alpaca instruction format.
'alpaca': instruction; input(optional)
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
60662f71dafe12fad38d6e2cd2af125668b02043 | { "from": "human", "value": "Your name is Su Wen" } | krisrod/test_name | [
"license:llama2",
"region:us"
] | 2023-11-29T06:40:49+00:00 | {"license": "llama2"} | 2023-11-29T06:59:57+00:00 | [] | [] | TAGS
#license-llama2 #region-us
| { "from": "human", "value": "Your name is Su Wen" } | [] | [
"TAGS\n#license-llama2 #region-us \n"
] | [
13
] | [
"passage: TAGS\n#license-llama2 #region-us \n"
] |
ef2b1a2a40ac78751a1fc37f377c16ca4a706471 | # Dataset Card for "Camera-Blur"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Adi-0-0-Gupta/Camera-Blur | [
"region:us"
] | 2023-11-29T06:47:25+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "valid", "path": "data/valid-*"}]}], "dataset_info": {"features": [{"name": "image", "struct": [{"name": "bytes", "dtype": "binary"}, {"name": "path", "dtype": "null"}]}, {"name": "label", "dtype": "int64"}], "s... | 2023-12-14T08:04:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Camera-Blur"
More Information needed | [
"# Dataset Card for \"Camera-Blur\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Camera-Blur\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"Camera-Blur\"\n\nMore Information needed"
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9107887a43766c770fe3e639ecab55fe08245e72 | ## 句子翻译指令数据集
其中包含**机器翻译**数据集，也包含**汉语文言文与白话文之间的翻译**数据集。
在做[qgyd2021/few_shot_intent_sft](https://huggingface.co/datasets/qgyd2021/few_shot_intent_sft)时，我意识到可能需要同时让模型具有翻译的能力以实现知识在不同语言之间的传递，因此决定制作此数据集。
| qgyd2021/few_shot_translation_sft | [
"task_categories:question-answering",
"task_categories:translation",
"task_categories:conversational",
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:100M<n<1B",
"language:zh",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-11-29T06:50:22+00:00 | {"language": ["zh", "en"], "license": "apache-2.0", "size_categories": ["100M<n<1B"], "task_categories": ["question-answering", "translation", "conversational", "text-generation", "text2text-generation"]} | 2023-11-29T06:54:23+00:00 | [] | [
"zh",
"en"
] | TAGS
#task_categories-question-answering #task_categories-translation #task_categories-conversational #task_categories-text-generation #task_categories-text2text-generation #size_categories-100M<n<1B #language-Chinese #language-English #license-apache-2.0 #region-us
| ## 句子翻译指令数据集
其中包含机器翻译数据集，也包含汉语文言文与白话文之间的翻译数据集。
在做qgyd2021/few_shot_intent_sft时，我意识到可能需要同时让模型具有翻译的能力以实现知识在不同语言之间的传递，因此决定制作此数据集。
| [
"## 句子翻译指令数据集\n\n其中包含机器翻译数据集，也包含汉语文言文与白话文之间的翻译数据集。\n\n在做qgyd2021/few_shot_intent_sft时，我意识到可能需要同时让模型具有翻译的能力以实现知识在不同语言之间的传递，因此决定制作此数据集。"
] | [
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af366dc5d172c42d24253d76cce452bcb74a320e |
This is the dataset of *Moir´e Photo Restoration Using Multiresolution Convolutional Neural Networks*. | zxbsmk/TIP-2018 | [
"task_categories:image-to-image",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"region:us"
] | 2023-11-29T06:51:44+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["image-to-image"], "viewer": false} | 2023-12-01T13:24:43+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-image #size_categories-100K<n<1M #language-English #license-mit #region-us
|
This is the dataset of *Moir´e Photo Restoration Using Multiresolution Convolutional Neural Networks*. | [] | [
"TAGS\n#task_categories-image-to-image #size_categories-100K<n<1M #language-English #license-mit #region-us \n"
] | [
39
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31aae750c0ac578e71d3e6b8afd390f285f50792 | The implicit toxicity data used in our paper:
> Unveiling Implicit Toxicity in Large Language Models. | jiaxin-wen/Implicit-Toxicity | [
"region:us"
] | 2023-11-29T07:06:37+00:00 | {} | 2023-11-29T07:31:32+00:00 | [] | [] | TAGS
#region-us
| The implicit toxicity data used in our paper:
> Unveiling Implicit Toxicity in Large Language Models. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
a422effc987977b876ac71750928d6eee5652416 | Word-level Images for 5 language(En, Fr, De, Zh, Cs) | BrianFu1105/Word-levelImage | [
"region:us"
] | 2023-11-29T07:23:05+00:00 | {} | 2023-11-29T07:39:38+00:00 | [] | [] | TAGS
#region-us
| Word-level Images for 5 language(En, Fr, De, Zh, Cs) | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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3567527737430becd85eddc9d838f7f083216b39 | # MultiFactor-HotpotQA-SuppFacts
<!-- Provide a quick summary of the dataset. -->
The MultiFactor datasets -- HotpotQA-Supporting Facts part in EMNLP 2023 Findings: [*Improving Question Generation with Multi-level Content Planning*](https://arxiv.org/abs/2310.13512).
## 1. Dataset Details
### 1.1 Dataset Descripti... | zeaver/multifactor_hotpotqa_suppfacts | [
"task_categories:text-generation",
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"question-generation",
"HotpotQA",
"arxiv:2310.13512",
"arxiv:1809.09600",
"arxiv:1809.02922",
"region:us"
] | 2023-11-29T07:44:10+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation", "question-answering"], "tags": ["question-generation", "HotpotQA"]} | 2023-11-29T12:01:23+00:00 | [
"2310.13512",
"1809.09600",
"1809.02922"
] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-question-answering #size_categories-10K<n<100K #language-English #license-mit #question-generation #HotpotQA #arxiv-2310.13512 #arxiv-1809.09600 #arxiv-1809.02922 #region-us
| # MultiFactor-HotpotQA-SuppFacts
The MultiFactor datasets -- HotpotQA-Supporting Facts part in EMNLP 2023 Findings: *Improving Question Generation with Multi-level Content Planning*.
## 1. Dataset Details
### 1.1 Dataset Description
Supporting Facts setting on HotpotQA dataset [1] in EMNLP 2023 Findings: *Improv... | [
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b01cf1cc74db572ca45315001c122837e8095068 |
### Dataset description
This dataset contains both English and Vietnamese samples.
Each sample has 3 solutions including a coding solution, an explanation solution and a direct solution. They are distinguished by the tokens \<sol\>, \<exp\> and \<dir\>, respectively.
For coding solution, execute the Python code wrap... | thanhdath/vietnamese-mathcoder | [
"region:us"
] | 2023-11-29T07:45:53+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 21151768, "num_examples": 22825}], "download_size": 7937515, "dataset_size": 21151768}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": ... | 2023-12-25T14:55:11+00:00 | [] | [] | TAGS
#region-us
|
### Dataset description
This dataset contains both English and Vietnamese samples.
Each sample has 3 solutions including a coding solution, an explanation solution and a direct solution. They are distinguished by the tokens \<sol\>, \<exp\> and \<dir\>, respectively.
For coding solution, execute the Python code wrap... | [
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4f2091a95a40ac335c99199ee241ef220122142f |
Notebook: https://www.kaggle.com/code/hasanmesbaulalitaher/tamil-voice-dataset-preparation/notebook | Hasan-Mesbaul-420/Tamil_speech | [
"region:us"
] | 2023-11-29T07:58:13+00:00 | {"dataset_info": {"features": [{"name": "path", "dtype": "string"}, {"name": "array", "sequence": "float64"}, {"name": "sampling_rate", "dtype": "int64"}, {"name": "Text File Path", "dtype": "string"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2280662818, "num_examples": 908}, ... | 2023-12-12T01:48:23+00:00 | [] | [] | TAGS
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Notebook: URL | [] | [
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d1797f4357fcaafd237c3c930966ae8aed9c6200 | ## Data Description
With the rapid development of large language models, the demand for high-quality datasets in both the industry and academia is growing. These datasets not only need to contain a vast amount of information but also require rigorous screening and cleaning to ensure their accuracy and the safety of dow... | BAAI/CCI-Data | [
"task_categories:text-generation",
"size_categories:10M<n<100M",
"language:zh",
"region:us"
] | 2023-11-29T08:10:39+00:00 | {"language": ["zh"], "size_categories": ["10M<n<100M"], "task_categories": ["text-generation"]} | 2023-11-29T08:23:42+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-generation #size_categories-10M<n<100M #language-Chinese #region-us
| Data Description
----------------
With the rapid development of large language models, the demand for high-quality datasets in both the industry and academia is growing. These datasets not only need to contain a vast amount of information but also require rigorous screening and cleaning to ensure their accuracy and t... | [
"### BAAI DataHub\n\n\nUsers can click the link CCI Dataset to view the data files, and click to download.\n\n\nNote that users need to register on BAAI DataHub to use the data, and filling out a survey questionnaire is required before their first download.",
"### Huggingface\n\n\nTo use the data, you can load it... | [
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c44d705fe0cb1ab0d3edaa257c9a10571969efaa |
# Bangumi Image Base of Durarara!!
This is the image base of bangumi Durarara!!, we detected 78 characters, 7823 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using t... | BangumiBase/durarara | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-29T08:18:01+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-29T12:43:52+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Durarara!!
================================
This is the image base of bangumi Durarara!!, we detected 78 characters, 7823 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually tra... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
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4b6ed414b340a8a7e3bc975dfecdf6b3f80cd54c | # Dataset Card for "capstone_fromgpt_without_gold_v7"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Deojoandco/capstone_fromgpt_without_gold_v7 | [
"region:us"
] | 2023-11-29T08:21:29+00:00 | {"dataset_info": {"features": [{"name": "dialog_id", "dtype": "int64"}, {"name": "dialogue", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gold_tags", "dtype": "string"}, {"name": "gpt_success", "dtype": "bool"}, {"name": "gpt_response", "dtype": "string"}, {"name": "gold_tags_tokens_count", "dt... | 2023-11-29T08:21:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "capstone_fromgpt_without_gold_v7"
More Information needed | [
"# Dataset Card for \"capstone_fromgpt_without_gold_v7\"\n\nMore Information needed"
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149f378f5b6a2721ca8aaeac0b3aa59c81de6959 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | akramovic/american-airlines-hr | [
"region:us"
] | 2023-11-29T08:33:12+00:00 | {} | 2023-11-29T08:53:34+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
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- Shared by [optional]:
- Language(s) (NLP):
- License:
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2b29cea241ee1722b6ffffaa3f00dfe9bad207d5 | # Dataset Card for "gsm8k-llama-2-7b-sft-dpo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tianduo/gsm8k-llama-2-7b-sft-dpo | [
"region:us"
] | 2023-11-29T08:34:40+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "gold_ans", "dtype": "string"}, {"name": "positives", "sequence": "string"}, {"name": "negatives", "sequence": "string"}], "splits": [{"na... | 2023-11-29T08:34:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gsm8k-llama-2-7b-sft-dpo"
More Information needed | [
"# Dataset Card for \"gsm8k-llama-2-7b-sft-dpo\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"gsm8k-llama-2-7b-sft-dpo\"\n\nMore Information needed"
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6ef26cf57f1ee37294b30f349363c87b98f4dd3f | # Dataset Card for "capstone_fromgpt_without_gold_v8"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Deojoandco/capstone_fromgpt_without_gold_v8 | [
"region:us"
] | 2023-11-29T08:38:45+00:00 | {"dataset_info": {"features": [{"name": "dialog_id", "dtype": "int64"}, {"name": "dialogue", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gold_tags", "dtype": "string"}, {"name": "gpt_success", "dtype": "bool"}, {"name": "gpt_response", "dtype": "string"}, {"name": "gold_tags_tokens_count", "dt... | 2023-11-29T08:38:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "capstone_fromgpt_without_gold_v8"
More Information needed | [
"# Dataset Card for \"capstone_fromgpt_without_gold_v8\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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2c1859d89e0d3dc175e609246bbb10f4e33cea5e | # Dataset Card for "capstone_fromgpt_without_gold_v9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Deojoandco/capstone_fromgpt_without_gold_v9 | [
"region:us"
] | 2023-11-29T08:52:50+00:00 | {"dataset_info": {"features": [{"name": "dialog_id", "dtype": "int64"}, {"name": "dialogue", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gold_tags", "dtype": "string"}, {"name": "gpt_success", "dtype": "bool"}, {"name": "gpt_response", "dtype": "string"}, {"name": "gold_tags_tokens_count", "dt... | 2023-11-29T08:52:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "capstone_fromgpt_without_gold_v9"
More Information needed | [
"# Dataset Card for \"capstone_fromgpt_without_gold_v9\"\n\nMore Information needed"
] | [
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13d77438d779558bbea3cbdb0195e37691bd3275 | # Dataset Card for "ultrachat-75k-vi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nguyenthanhdo/ultrachat-75k-vi | [
"region:us"
] | 2023-11-29T08:59:26+00:00 | {"dataset_info": {"features": [{"name": "prompt_id", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train_sft", "num_bytes": 382341861, "num_examples": 74465}], "download_size":... | 2023-11-29T08:59:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrachat-75k-vi"
More Information needed | [
"# Dataset Card for \"ultrachat-75k-vi\"\n\nMore Information needed"
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b15636dccdde3c1865dbc72ca3d9fcdcdadd9eda | # Dataset Card for "contracts_v9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | paul-w-qs/contracts_v9 | [
"region:us"
] | 2023-11-29T09:07:06+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "JSON_LABEL", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 84923820.0, "num_examples": 514}], "download_size": 84024431, "da... | 2023-11-29T23:08:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "contracts_v9"
More Information needed | [
"# Dataset Card for \"contracts_v9\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"contracts_v9\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"contracts_v9\"\n\nMore Information needed"
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dcd0aa0f069c2d266d9813d40dc8e6ba167d9090 |
CURRENTLY UNDER CONSTRUCTION
English Readme:
Bridging Language Barriers and Empowering Marginalized Communities through increasing open Portuguese Language Education Text training data:
In the realm of natural language processing (NLP), the availability of high-quality language data is crucial for developing effec... | Solshine/Portuguese_Language_Education_Texts | [
"license:mit",
"region:us"
] | 2023-11-29T09:31:53+00:00 | {"license": "mit"} | 2023-11-29T09:40:55+00:00 | [] | [] | TAGS
#license-mit #region-us
|
CURRENTLY UNDER CONSTRUCTION
English Readme:
Bridging Language Barriers and Empowering Marginalized Communities through increasing open Portuguese Language Education Text training data:
In the realm of natural language processing (NLP), the availability of high-quality language data is crucial for developing effec... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
59d47be65296b92865454f04e5645e37a40331e8 | # Dataset Card for "capstone_fromgpt_without_gold_v9_all"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Deojoandco/capstone_fromgpt_without_gold_v9_all | [
"region:us"
] | 2023-11-29T09:55:19+00:00 | {"dataset_info": {"features": [{"name": "dialog_id", "dtype": "int64"}, {"name": "dialogue", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gold_tags", "dtype": "string"}, {"name": "gpt_success", "dtype": "bool"}, {"name": "gpt_response", "dtype": "string"}, {"name": "gold_tags_tokens_count", "dt... | 2023-11-29T09:55:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "capstone_fromgpt_without_gold_v9_all"
More Information needed | [
"# Dataset Card for \"capstone_fromgpt_without_gold_v9_all\"\n\nMore Information needed"
] | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"capstone_fromgpt_without_gold_v9_all\"\n\nMore Information needed"
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b97191a697e7e0255303c9461b58541c96fab4ee |
# Turkish Event Detection Tweet Dataset: BilTweetNews
The dataset contains tweets related to six major events from Turkish news sources between May 4, 2015
and Jan 8, 2017.
There are 7 event classes:
- E1: May 25, 2015 One of the popular football clubs in Turkey, Galatasaray, wins the 2015
Turkish Super League.
- ... | ctoraman/BilTweetNews-event-detection | [
"task_categories:text-classification",
"size_categories:n<1K",
"language:tr",
"license:cc-by-nc-sa-4.0",
"text classification",
"event detection",
"topic detection",
"tweets",
"social media",
"topic classification",
"region:us"
] | 2023-11-29T10:53:10+00:00 | {"language": ["tr"], "license": "cc-by-nc-sa-4.0", "size_categories": ["n<1K"], "task_categories": ["text-classification"], "tags": ["text classification", "event detection", "topic detection", "tweets", "social media", "topic classification"]} | 2023-11-29T11:09:34+00:00 | [] | [
"tr"
] | TAGS
#task_categories-text-classification #size_categories-n<1K #language-Turkish #license-cc-by-nc-sa-4.0 #text classification #event detection #topic detection #tweets #social media #topic classification #region-us
|
# Turkish Event Detection Tweet Dataset: BilTweetNews
The dataset contains tweets related to six major events from Turkish news sources between May 4, 2015
and Jan 8, 2017.
There are 7 event classes:
- E1: May 25, 2015 One of the popular football clubs in Turkey, Galatasaray, wins the 2015
Turkish Super League.
- ... | [
"# Turkish Event Detection Tweet Dataset: BilTweetNews\n\nThe dataset contains tweets related to six major events from Turkish news sources between May 4, 2015\nand Jan 8, 2017. \n\nThere are 7 event classes:\n\n- E1: May 25, 2015 One of the popular football clubs in Turkey, Galatasaray, wins the 2015\nTurkish Supe... | [
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] |
013aa97621ce626c7a93504c09697027d742e318 |
# ShareGPT4V-ru
## Dataset Description
- **Paper:** https://huggingface.co/papers/2311.12793
- **Repository** https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V
- **Homepage** https://ShareGPT4V.github.io/
This is translated version **ShareGPT4V(102k)** subset of [Lin-Chen/ShareGPT4V](http... | d0rj/ShareGPT4V-ru | [
"task_categories:visual-question-answering",
"task_categories:question-answering",
"task_categories:conversational",
"language_creators:translated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:Lin-Chen/ShareGPT4V",
"language:ru",
"license:cc-by-nc-4.0",
"chat",
"... | 2023-11-29T11:04:35+00:00 | {"language_creators": ["translated"], "language": ["ru"], "license": "cc-by-nc-4.0", "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["Lin-Chen/ShareGPT4V"], "task_categories": ["visual-question-answering", "question-answering", "conversational"], "paperswithcode_id": "sharegpt4... | 2023-11-30T08:56:12+00:00 | [
"2311.12793"
] | [
"ru"
] | TAGS
#task_categories-visual-question-answering #task_categories-question-answering #task_categories-conversational #language_creators-translated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-Lin-Chen/ShareGPT4V #language-Russian #license-cc-by-nc-4.0 #chat #visual-chat #multimodal-chat #arxi... |
# ShareGPT4V-ru
## Dataset Description
- Paper: URL
- Repository URL
- Homepage URL
This is translated version ShareGPT4V(102k) subset of Lin-Chen/ShareGPT4V dataset into Russian. | [
"# ShareGPT4V-ru",
"## Dataset Description\n\n- Paper: URL\n- Repository URL\n- Homepage URL\n\nThis is translated version ShareGPT4V(102k) subset of Lin-Chen/ShareGPT4V dataset into Russian."
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30ab97c829cca0bf0dad2d9b10cd34a99171ac37 |
# Dataset Card for oasst_response_comparison
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#... | nataliaElv/oasst_response_comparison | [
"size_categories:1K<n<10K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-11-29T11:24:31+00:00 | {"size_categories": "1K<n<10K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2023-11-29T11:24:39+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us
| Dataset Card for oasst\_response\_comparison
============================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dat... | [
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible wi... | [
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4d28fddd820f9c5f9ecf6a2eca70026b2089dce7 |
# MatSynth
MatSynth is a Physically Based Rendering (PBR) materials dataset designed for modern AI applications.
This dataset consists of over 4,000 ultra-high resolution, offering unparalleled scale, diversity, and detail.
Meticulously collected and curated, MatSynth is poised to drive innovation in material acqui... | gvecchio/MatSynth | [
"task_categories:image-to-image",
"task_categories:unconditional-image-generation",
"task_categories:image-classification",
"task_categories:text-to-image",
"language:en",
"materials",
"pbr",
"4d",
"graphics",
"rendering",
"svbrdf",
"region:us"
] | 2023-11-29T11:24:57+00:00 | {"language": ["en"], "task_categories": ["image-to-image", "unconditional-image-generation", "image-classification", "text-to-image"], "pretty_name": "MatSynth", "tags": ["materials", "pbr", "4d", "graphics", "rendering", "svbrdf"]} | 2024-01-16T22:26:33+00:00 | [] | [
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|
# MatSynth
MatSynth is a Physically Based Rendering (PBR) materials dataset designed for modern AI applications.
This dataset consists of over 4,000 ultra-high resolution, offering unparalleled scale, diversity, and detail.
Meticulously collected and curated, MatSynth is poised to drive innovation in material acqui... | [
"# MatSynth\n\nMatSynth is a Physically Based Rendering (PBR) materials dataset designed for modern AI applications.\nThis dataset consists of over 4,000 ultra-high resolution, offering unparalleled scale, diversity, and detail. \n\nMeticulously collected and curated, MatSynth is poised to drive innovation in mater... | [
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d4e4c8f4799e80ac4c85837c0652a17ef1b85213 | # Dataset Card for "dpo_anthropic_hh_rlhf"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Palash123/dpo_anthropic_hh_rlhf | [
"region:us"
] | 2023-11-29T11:27:11+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train... | 2023-12-04T07:17:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dpo_anthropic_hh_rlhf"
More Information needed | [
"# Dataset Card for \"dpo_anthropic_hh_rlhf\"\n\nMore Information needed"
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1e3aefaaa8926e66cfd6675513402f5c3b2b753f |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | AkilaRajini/MES-Dataset-1 | [
"region:us"
] | 2023-11-29T11:31:35+00:00 | {} | 2023-11-29T11:32:22+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
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2d4cc05fd0c0932e75ad1b58ff5942f17c3a34a3 | # Dataset Card for "filtered_big_literalist_ds"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tr416/filtered_big_literalist_ds | [
"region:us"
] | 2023-11-29T11:33:58+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 953191, "num_examples": 764}], "download_size": 483558, "dataset_size": 953191}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "... | 2023-11-29T11:34:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "filtered_big_literalist_ds"
More Information needed | [
"# Dataset Card for \"filtered_big_literalist_ds\"\n\nMore Information needed"
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efc364239b42d71c137846651cd96e92cbb7996b |
(This dataset contains raw text, which are unlabeled.)
5,844 Turkish news articles obtained from the Milliyet newspaper between 9 September 2009 and 31 October 2009
Github Repo: https://github.com/BilkentInformationRetrievalGroup/BilFront2009
# If you would like to use any material in this repository, please cite t... | ctoraman/front-page-news | [
"task_categories:text-generation",
"task_categories:text-classification",
"language:tr",
"license:cc-by-nc-sa-4.0",
"front-page-news",
"front-page",
"news",
"region:us"
] | 2023-11-29T11:36:47+00:00 | {"language": ["tr"], "license": "cc-by-nc-sa-4.0", "task_categories": ["text-generation", "text-classification"], "tags": ["front-page-news", "front-page", "news"]} | 2023-11-29T12:17:29+00:00 | [] | [
"tr"
] | TAGS
#task_categories-text-generation #task_categories-text-classification #language-Turkish #license-cc-by-nc-sa-4.0 #front-page-news #front-page #news #region-us
|
(This dataset contains raw text, which are unlabeled.)
5,844 Turkish news articles obtained from the Milliyet newspaper between 9 September 2009 and 31 October 2009
Github Repo: URL
# If you would like to use any material in this repository, please cite the following paper:
Toraman, C., & Can, F. (2015). A front-pa... | [
"# If you would like to use any material in this repository, please cite the following paper:\nToraman, C., & Can, F. (2015). A front-page news-selection algorithm based on topic modelling using raw text. Journal of Information Science, 41(5), 676-685."
] | [
"TAGS\n#task_categories-text-generation #task_categories-text-classification #language-Turkish #license-cc-by-nc-sa-4.0 #front-page-news #front-page #news #region-us \n",
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38eacd4a6cf4e19b23f4849d9a111da945545450 |
# Public Protest Event Detection in Turkish
80 news events/articles occurred between 2015 and 017. Each event is listed with its origin date, place, news url, public-reaction category, and reaction tags.
Protest labels are determined in terms of dimensions and directions.
Dimensions are in terms of national, local,... | ctoraman/protest-event-prediction | [
"task_categories:text-classification",
"language:tr",
"license:cc-by-nc-sa-4.0",
"protest event detection",
"protest detection",
"public reaction",
"region:us"
] | 2023-11-29T11:52:02+00:00 | {"language": ["tr"], "license": "cc-by-nc-sa-4.0", "task_categories": ["text-classification"], "tags": ["protest event detection", "protest detection", "public reaction"]} | 2023-11-29T12:02:47+00:00 | [] | [
"tr"
] | TAGS
#task_categories-text-classification #language-Turkish #license-cc-by-nc-sa-4.0 #protest event detection #protest detection #public reaction #region-us
|
# Public Protest Event Detection in Turkish
80 news events/articles occurred between 2015 and 017. Each event is listed with its origin date, place, news url, public-reaction category, and reaction tags.
Protest labels are determined in terms of dimensions and directions.
Dimensions are in terms of national, local,... | [
"# Public Protest Event Detection in Turkish\n\n80 news events/articles occurred between 2015 and 017. Each event is listed with its origin date, place, news url, public-reaction category, and reaction tags.\n\nProtest labels are determined in terms of dimensions and directions.\n\nDimensions are in terms of nation... | [
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e4b4653d68cde5ba90badc2a5558b8ecd47ca125 |
(This dataset contains raw text, which are unlabeled.)
1,656 Turkish news articles from Sözcü Newspaper (http://www.sozcu.com.tr) between December 20, 2013, and March 11, 2014.
GitHub Repo: https://github.com/BilkentInformationRetrievalGroup/TUBITAK113E249/
# If you would like to use any material in this repository... | ctoraman/sozcu-news-2014 | [
"task_categories:text-generation",
"task_categories:text-classification",
"language:tr",
"license:cc-by-nc-sa-4.0",
"news",
"corpus",
"news articles",
"region:us"
] | 2023-11-29T12:06:32+00:00 | {"language": ["tr"], "license": "cc-by-nc-sa-4.0", "task_categories": ["text-generation", "text-classification"], "tags": ["news", "corpus", "news articles"]} | 2023-11-29T12:17:44+00:00 | [] | [
"tr"
] | TAGS
#task_categories-text-generation #task_categories-text-classification #language-Turkish #license-cc-by-nc-sa-4.0 #news #corpus #news articles #region-us
|
(This dataset contains raw text, which are unlabeled.)
1,656 Turkish news articles from Sözcü Newspaper (URL) between December 20, 2013, and March 11, 2014.
GitHub Repo: URL
# If you would like to use any material in this repository, please cite this paper:
Toraman, C. and Can, F. (2017), Discovering story chains: ... | [
"# If you would like to use any material in this repository, please cite this paper:\nToraman, C. and Can, F. (2017), Discovering story chains: A framework based on zigzagged search and news actors. Journal of the Association for Information Science and Technology, 68: 2795-2808. URL"
] | [
"TAGS\n#task_categories-text-generation #task_categories-text-classification #language-Turkish #license-cc-by-nc-sa-4.0 #news #corpus #news articles #region-us \n",
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49bfb470a921a09a2222945b19dc34c77b973974 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | hoangquang27/validation-data | [
"region:us"
] | 2023-11-29T12:22:53+00:00 | {} | 2023-11-29T12:26:48+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
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- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
### Dataset Sources [opt... | [
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28606b504bb7b2c7e04f06a156740395e9c5586b | # Dataset Card for Wikiquotes German
This dataset contains german quotes from [wikiquote](https://de.wikiquote.org/wiki/Hauptseite). It consists of two columns named 'author' and 'quote'.
For regenerating the dataset we provided the source code in this repo. You can use it as follows:
```sh
pip install bs4 pandas
pytho... | caretech-owl/wikiquote-de-quotes | [
"language:de",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-11-29T12:52:19+00:00 | {"language": ["de"], "license": "cc-by-sa-4.0"} | 2023-12-22T12:49:04+00:00 | [] | [
"de"
] | TAGS
#language-German #license-cc-by-sa-4.0 #region-us
| # Dataset Card for Wikiquotes German
This dataset contains german quotes from wikiquote. It consists of two columns named 'author' and 'quote'.
For regenerating the dataset we provided the source code in this repo. You can use it as follows:
For usag in python just include
after installing datasets ().
* Attribu... | [
"# Dataset Card for Wikiquotes German\nThis dataset contains german quotes from wikiquote. It consists of two columns named 'author' and 'quote'.\nFor regenerating the dataset we provided the source code in this repo. You can use it as follows:\n\n\nFor usag in python just include \n\nafter installing datasets ().... | [
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3b014f29111b8ab2e5fe630ffbaa7b536efaab81 | # Dataset Card for "opinions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | raminass/opinions | [
"region:us"
] | 2023-11-29T13:05:08+00:00 | {"dataset_info": {"features": [{"name": "author_name", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "per_curiam", "dtype": "bool"}, {"name": "case_name", "dtype": "string"}, {"name": "date_filed", "dtype": "timestamp[ns]"}, {"name": "federal_cite_one", "dtype": "string"}, {"name": "absolute_url... | 2023-12-10T11:35:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "opinions"
More Information needed | [
"# Dataset Card for \"opinions\"\n\nMore Information needed"
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4856805499162fdac11ba1d030def08c71b39f79 | # Dataset Card for "300_curated_prompt_v0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tr416/300_curated_prompt_v0 | [
"region:us"
] | 2023-11-29T13:13:02+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 432638, "num_examples": 300}], "download_size": 195038, "dataset_size": 432638}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "... | 2023-11-29T13:13:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "300_curated_prompt_v0"
More Information needed | [
"# Dataset Card for \"300_curated_prompt_v0\"\n\nMore Information needed"
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a2339691eba6637bf1206d161d9e582d4b7c3f44 |
The ATIS (Airline Travel Information System) Dataset includes spoken queries (i.e., utterances) annotated for the task of slot filling in conversational systems.
This dataset, ATISNER, includes airline spoken queries translated from English to Turkish, customized for Named Entity Recognition.
Train and test splits ... | ctoraman/atis-ner-turkish | [
"task_categories:token-classification",
"language:tr",
"license:cc-by-nc-sa-4.0",
"named entity recognition",
"ner",
"atis",
"utterance",
"spoken query",
"region:us"
] | 2023-11-29T13:33:11+00:00 | {"language": ["tr"], "license": "cc-by-nc-sa-4.0", "task_categories": ["token-classification"], "tags": ["named entity recognition", "ner", "atis", "utterance", "spoken query"]} | 2023-11-29T13:45:29+00:00 | [] | [
"tr"
] | TAGS
#task_categories-token-classification #language-Turkish #license-cc-by-nc-sa-4.0 #named entity recognition #ner #atis #utterance #spoken query #region-us
|
The ATIS (Airline Travel Information System) Dataset includes spoken queries (i.e., utterances) annotated for the task of slot filling in conversational systems.
This dataset, ATISNER, includes airline spoken queries translated from English to Turkish, customized for Named Entity Recognition.
Train and test splits ... | [
"# If you would like to use any material in this repository, please cite the following paper:\nOguzhan Ozcelik and Cagri Toraman. 2022. Named entity recognition in Turkish: A comparative study with detailed error analysis. Inf. Process. Manage. 59, 6 (Nov 2022). URL"
] | [
"TAGS\n#task_categories-token-classification #language-Turkish #license-cc-by-nc-sa-4.0 #named entity recognition #ner #atis #utterance #spoken query #region-us \n",
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c2dca5db3c429cdbd7228b6d2276081a5f245c37 | # Dataset Card for "cai-conversation-prod-h4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vwxyzjn/cai-conversation-prod-h4 | [
"region:us"
] | 2023-11-29T13:50:22+00:00 | {"dataset_info": {"features": [{"name": "index", "dtype": "int64"}, {"name": "prompt", "dtype": "string"}, {"name": "init_prompt", "struct": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "init_response", "struct": [{"name": "content", "dtype": "string"}, {"name": "role", "dtyp... | 2023-11-29T13:50:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cai-conversation-prod-h4"
More Information needed | [
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8af1554d5f079aa16a50d4897018d49eb9359264 | # Dataset Card for "thai-wiki-dataset-v3"
This dataset collects all Thai Wikimedia project that cleaned all text for Thai language. Example: [Wikipedia](https://th.wikipedia.org/), [Wikiquote](https://th.wikiquote.org/), [Wikibooks](https://th.wikibooks.org/), [Wikisource](https://th.wikisource.org), and [Wiktionary](... | pythainlp/thai-wiki-dataset-v3 | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:th",
"license:cc-by-sa-3.0",
"region:us"
] | 2023-11-29T13:53:19+00:00 | {"language": ["th"], "license": "cc-by-sa-3.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "text", "dtype": "st... | 2024-01-20T07:16:36+00:00 | [] | [
"th"
] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-Thai #license-cc-by-sa-3.0 #region-us
| # Dataset Card for "thai-wiki-dataset-v3"
This dataset collects all Thai Wikimedia project that cleaned all text for Thai language. Example: Wikipedia, Wikiquote, Wikibooks, Wikisource, and Wiktionary.
Use cause: RAG, and pretraining model.
License: cc-by-sa-3.0 | [
"# Dataset Card for \"thai-wiki-dataset-v3\"\n\nThis dataset collects all Thai Wikimedia project that cleaned all text for Thai language. Example: Wikipedia, Wikiquote, Wikibooks, Wikisource, and Wiktionary.\n\nUse cause: RAG, and pretraining model.\n\nLicense: cc-by-sa-3.0"
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a105c73e17805804bdc26b49f70166848fcee7f2 | # Dataset Card for "vsums_test_phillip_jones_full"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Xapien/vsums_test_phillip_jones_full | [
"region:us"
] | 2023-11-29T14:00:07+00:00 | {"dataset_info": {"features": [{"name": "subject_A", "dtype": "string"}, {"name": "entity_sourcetext_A", "dtype": "string"}, {"name": "entity_fingerprint_A", "dtype": "string"}, {"name": "DRE_A", "dtype": "string"}, {"name": "new_entity_description_A", "dtype": "string"}, {"name": "subject_B", "dtype": "string"}, {"nam... | 2023-11-29T14:00:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vsums_test_phillip_jones_full"
More Information needed | [
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f3191b391b3963e1947c6a70ae5d97b50fe9d648 |
The "gender identity" subset of the large-scale dataset published in the LREC 2022 paper "Large-Scale Hate Speech Detection with Cross-Domain Transfer".
This subset is used in the experiments of "Şahinuç, F., Yilmaz, E. H., Toraman, C., & Koç, A. (2023). The effect of gender bias on hate speech detection. Signal, Im... | ctoraman/gender-hate-speech | [
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"gender identity",
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"region:us"
] | 2023-11-29T14:10:28+00:00 | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "task_categories": ["text-classification"], "tags": ["hate speech", "hate speech detection", "hate-speech", "tweets", "social media", "hate-speech-detection", "gender identity", "gender"]} | 2023-11-30T12:02:34+00:00 | [] | [
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|
The "gender identity" subset of the large-scale dataset published in the LREC 2022 paper "Large-Scale Hate Speech Detection with Cross-Domain Transfer".
This subset is used in the experiments of "Şahinuç, F., Yilmaz, E. H., Toraman, C., & Koç, A. (2023). The effect of gender bias on hate speech detection. Signal, Im... | [
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ec96b0a45588b8ec376d7d471c21830edcb16cbe |
The "gender identity" subset of the large-scale dataset published in the LREC 2022 paper "Large-Scale Hate Speech Detection with Cross-Domain Transfer".
This subset is also used in the experiments of "Şahinuç, F., Yilmaz, E. H., Toraman, C., & Koç, A. (2023). The effect of gender bias on hate speech detection. Signa... | ctoraman/gender-hate-speech-turkish | [
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] | 2023-11-29T14:13:15+00:00 | {"language": ["tr"], "license": "cc-by-nc-sa-4.0", "task_categories": ["text-classification"], "tags": ["hate speech", "hate speech detection", "hate-speech", "tweets", "social media", "topic", "hate-speech-detection", "gender identity", "gender"]} | 2023-11-30T12:03:50+00:00 | [] | [
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|
The "gender identity" subset of the large-scale dataset published in the LREC 2022 paper "Large-Scale Hate Speech Detection with Cross-Domain Transfer".
This subset is also used in the experiments of "Şahinuç, F., Yilmaz, E. H., Toraman, C., & Koç, A. (2023). The effect of gender bias on hate speech detection. Signa... | [
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7c5ba140d8546753f4f8d4301c176ecda7e35450 |
# Formatted MMLU dataset
MMLU Dataset preprocessed and split by [qLoRA](https://github.com/artidoro/qlora/tree/main)
# References
```
@article{hendryckstest2021,
title={Measuring Massive Multitask Language Understanding},
author={Dan Hendrycks and Collin Burns and Steven Basart and Andy Zou and Mant... | Cheng98/mmlu | [
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"region:us"
] | 2023-11-29T14:19:34+00:00 | {"language": ["en"], "task_categories": ["text-classification"], "configs": [{"config_name": "zero-shot", "data_files": [{"split": "validation", "path": "data/five-shot/val.json"}, {"split": "test", "path": "data/five-shot/test.json"}]}, {"config_name": "five-shot", "data_files": [{"split": "validation", "path": "data/... | 2023-11-29T23:51:38+00:00 | [] | [
"en"
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|
# Formatted MMLU dataset
MMLU Dataset preprocessed and split by qLoRA
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98db8c3479a72076fa833886faf053fadcc954b7 | # Dataset Card for "disaster-tweets-ru"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | galthran/disaster-tweets-ru | [
"region:us"
] | 2023-11-29T14:31:13+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "keyword", "dtype": "string"}, {"name": "location", "dtype": "s... | 2023-11-30T08:29:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disaster-tweets-ru"
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7bd687b357f424f7f6bb41a6e50dd052194837fa |
# Dataset Card for Dataset Name
## Dataset Details
### Dataset Description
This extensive dataset, hosted on Huggingface, is a comprehensive resource for Optical Character Recognition (OCR) in the Telugu language, featuring an impressive array of 90+ configurations. Each configuration in this dataset corresponds ... | gksriharsha/chitralekha | [
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"language:te",
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"region:us"
] | 2023-11-29T14:31:24+00:00 | {"language": ["te"], "license": "gpl-3.0", "size_categories": ["1M<n<10M"], "task_categories": ["image-to-text"], "dataset_info": [{"config_name": "Dhurjati", "features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1298445060.3780885, "num_exampl... | 2023-12-15T23:32:02+00:00 | [] | [
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1e2ac223250fc7a93b61b365b8c3195650d14e11 |
# Dataset Card for end2end_textclassification_with_metadata
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load wit... | argilla/end2end_textclassification_with_metadata | [
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#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us
| Dataset Card for end2end\_textclassification\_with\_metadata
============================================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' librar... | [
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a1cedfdf2d4c036f3d5da07f6586bf54806e4b2f |
# Dataset Card for end2end_textclassification_with_vectors
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with... | argilla/end2end_textclassification_with_vectors | [
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#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us
| Dataset Card for end2end\_textclassification\_with\_vectors
===========================================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library ... | [
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103e0fab2505aa619d90577d6680197c2ec8bb36 | # Dataset Card for "paragraphs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | raminass/paragraphs | [
"region:us"
] | 2023-11-29T14:54:43+00:00 | {"dataset_info": {"features": [{"name": "author_name", "dtype": "string"}, {"name": "year", "dtype": "int64"}, {"name": "label", "dtype": "int64"}, {"name": "category", "dtype": "string"}, {"name": "case_name", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"na... | 2023-12-10T12:10:04+00:00 | [] | [] | TAGS
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| # Dataset Card for "paragraphs"
More Information needed | [
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e578ae6a2eab01219b28dbf109632e1849d64455 | # Dataset Card for "plantbert-vanilla-cased"
The original data comes from [Plant Science Corpus](https://zenodo.org/records/10022686). | shius/plantbert-vanilla-cased | [
"region:us"
] | 2023-11-29T14:55:27+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 573766969.1417043, "num_examp... | 2023-11-29T15:05:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "plantbert-vanilla-cased"
The original data comes from Plant Science Corpus. | [
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c0a7df5a4c2d3585f0ad7c9595fcabd08507832b | # Dataset Card for "ade20k_dino"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | danjacobellis/ade20k_dino | [
"region:us"
] | 2023-11-29T15:02:33+00:00 | {"dataset_info": {"features": [{"name": "annotation", "dtype": "image"}, {"name": "scene_category", "dtype": {"class_label": {"names": {"0": "airport_terminal", "1": "art_gallery", "2": "badlands", "3": "ball_pit", "4": "bathroom", "5": "beach", "6": "bedroom", "7": "booth_indoor", "8": "botanical_garden", "9": "bridge... | 2023-11-29T22:36:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ade20k_dino"
More Information needed | [
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d8612939450a4b70ca8b9fbdc8f8bc24c13a91b6 |
## Dataset Description
- **Homepage** [Projecte AINA](https://projecteaina.cat/tech/)
- **Repository** [HuggingFace](https://huggingface.co/projecte-aina)
- **Paper** ["A CURATEd CATalog: Rethinking the Extraction of Pretraining Corpora for Mid-Resourced Languages"]()
- **Leaderboard** N/A
- **Point of Contact** lang... | projecte-aina/CATalog | [
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"multilinguality:monolingual",
"size_categories:10B<n<100B",
"source_data... | 2023-11-29T15:04:58+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["ca"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10B<n<100B"], "source_datasets": ["extended|mc4", "extended|oscar", "extended|cawac"], "task_categories": ["fill-mask", "text-gener... | 2024-02-08T12:13:34+00:00 | [
"2104.08758",
"2109.07445"
] | [
"ca"
] | TAGS
#task_categories-fill-mask #task_categories-text-generation #task_ids-masked-language-modeling #task_ids-slot-filling #task_ids-language-modeling #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-10B<n<100B #source_datasets-extended|mc4 #source_datasets-... | Dataset Description
-------------------
* Homepage Projecte AINA
* Repository HuggingFace
* Paper "A CURATEd CATalog: Rethinking the Extraction of Pretraining Corpora for Mid-Resourced Languages"
* Leaderboard N/A
* Point of Contact langtech@URL
### Dataset Summary
CATalog is a diverse, open-source Catalan corpus... | [
"### Dataset Summary\n\n\nCATalog is a diverse, open-source Catalan corpus for language modelling. It consists of text documents from 26 different sources, including web crawling, news, forums, digital libraries and public institutions, totaling in 17.45 billion words.",
"### Supported Tasks and Leaderboards\n\n\... | [
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7bf308cf5b27aec0e3184cba4568ec96bf2db528 | Instruction チューニングの評価用データセットです。[kunishou/hh-rlhf-49k-ja](https://huggingface.co/datasets/kunishou/hh-rlhf-49k-ja/tree/main) からランダムに3000データを抽出しました。
任意のデータセットで Instruction チューニングをする際に常にこちらの評価データセットを指定することで validation loss を横並びに比較することができます。
なお、kunishou/hh-rlhf-49k-ja のデータセットでチューニングする際は以下のコードでこの評価用データセットを除外するようにして下さ... | kunishou/hh-rlhf-eval-3k-ja | [
"license:mit",
"region:us"
] | 2023-11-29T15:12:19+00:00 | {"license": "mit"} | 2023-11-29T15:43:10+00:00 | [] | [] | TAGS
#license-mit #region-us
| Instruction チューニングの評価用データセットです。kunishou/hh-rlhf-49k-ja からランダムに3000データを抽出しました。
任意のデータセットで Instruction チューニングをする際に常にこちらの評価データセットを指定することで validation loss を横並びに比較することができます。
なお、kunishou/hh-rlhf-49k-ja のデータセットでチューニングする際は以下のコードでこの評価用データセットを除外するようにして下さい。
hh-rlhf repository
URL
Anthropic/hh-rlhf
URL
mosaicml/do... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
12cf4f6ade67ba4c72cf37c15091089baef247f1 |
# Dataset Card for CA-ZH Parallel Corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Splits](#data-instances)
- [Datas... | projecte-aina/CA-ZH_Parallel_Corpus | [
"task_categories:translation",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:ca",
"language:zh",
"language:multilingual",
"region:us"
] | 2023-11-29T15:14:32+00:00 | {"language": ["ca", "zh", "multilingual"], "multilinguality": ["translation"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "CA-ZH Parallel Corpus"} | 2024-01-17T13:52:31+00:00 | [] | [
"ca",
"zh",
"multilingual"
] | TAGS
#task_categories-translation #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #language-Catalan #language-Chinese #language-multilingual #region-us
| Dataset Card for CA-ZH Parallel Corpus
======================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Splits
* Dataset Creation
+ Source Data
+ Data preparation
+ Personal and Sensitive Information
* ... | [
"### Dataset Summary\n\n\nThe CA-ZH Parallel Corpus is a Catalan-Chinese dataset of 6.833.114 parallel sentences. The dataset was created to support Catalan NLP tasks, e.g.,\nMachine Translation.",
"### Supported Tasks and Leaderboards\n\n\nThe dataset can be used to train a model for Multilingual Machine Transla... | [
"TAGS\n#task_categories-translation #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #language-Catalan #language-Chinese #language-multilingual #region-us \n",
"### Dataset Summary\n\n\nThe CA-ZH Parallel Corpus is a Catalan-Chinese dataset of 6.833.114 parallel sentences. The data... | [
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"passage: TAGS\n#task_categories-translation #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #language-Catalan #language-Chinese #language-multilingual #region-us \n### Dataset Summary\n\n\nThe CA-ZH Parallel Corpus is a Catalan-Chinese dataset of 6.833.114 parallel sentences. The d... |
83f6491ed95561f362ce9cbd98d62820ec0888f0 |
# Dataset Card for end2end_textclassification_with_suggestions_and_responses
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` lib... | argilla/end2end_textclassification_with_suggestions_and_responses | [
"size_categories:1K<n<10K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-11-29T15:15:26+00:00 | {"size_categories": "1K<n<10K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2024-02-13T00:59:24+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us
| Dataset Card for end2end\_textclassification\_with\_suggestions\_and\_responses
===============================================================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or us... | [
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible wi... | [
"TAGS\n#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us \n",
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.f... | [
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"passage: TAGS\n#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us \n### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDatase... |
115e902cd3869ad5459c48d2921fbb0a7778adf3 | # Dataset Card for "aozora_kids"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ohtaman/aozora_kids | [
"region:us"
] | 2023-11-29T15:34:52+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "author", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "filename", "dtype":... | 2023-11-29T15:35:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "aozora_kids"
More Information needed | [
"# Dataset Card for \"aozora_kids\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"aozora_kids\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"aozora_kids\"\n\nMore Information needed"
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e27304e0e560a6fd6d603bb4786951eef2011ad4 |
# The Tensor Trust dataset (v1) (mirror of [GitHub version](https://github.com/HumanCompatibleAI/tensor-trust-data))
**Other Tensor Trust links:** [[Game]](https://tensortrust.ai/) [[Code]](https://github.com/HumanCompatibleAI/tensor-trust) [[Paper]](https://arxiv.org/abs/2311.01011)
This HF dataset contains the raw... | qxcv/tensor-trust | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"arxiv:2311.01011",
"region:us"
] | 2023-11-29T16:08:39+00:00 | {"size_categories": ["100K<n<1M"], "task_categories": ["text-generation"]} | 2023-11-29T16:15:08+00:00 | [
"2311.01011"
] | [] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #arxiv-2311.01011 #region-us
|
# The Tensor Trust dataset (v1) (mirror of GitHub version)
Other Tensor Trust links: [[Game]](URL [[Code]](URL [[Paper]](URL
This HF dataset contains the raw data and derived benchmarks for the Tensor Trust project.
An interactive explanation of how to load and use the data (including the meaning of the columns) is ... | [
"# The Tensor Trust dataset (v1) (mirror of GitHub version)\n\nOther Tensor Trust links: [[Game]](URL [[Code]](URL [[Paper]](URL\n\nThis HF dataset contains the raw data and derived benchmarks for the Tensor Trust project.\nAn interactive explanation of how to load and use the data (including the meaning of the col... | [
"TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #arxiv-2311.01011 #region-us \n",
"# The Tensor Trust dataset (v1) (mirror of GitHub version)\n\nOther Tensor Trust links: [[Game]](URL [[Code]](URL [[Paper]](URL\n\nThis HF dataset contains the raw data and derived benchmarks for the Tensor Trust... | [
38,
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"passage: TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #arxiv-2311.01011 #region-us \n# The Tensor Trust dataset (v1) (mirror of GitHub version)\n\nOther Tensor Trust links: [[Game]](URL [[Code]](URL [[Paper]](URL\n\nThis HF dataset contains the raw data and derived benchmarks for the Tensor Tr... |
c900297e450ef3cb0d9e1454bb8a9833d3516636 | SLTPvA
Dataset:
- Alpaca format
- All MICH Angiospermae entries as of 28-11-2023 (v1-0)
Synthetic OCR:
- C25 25% of cells will be randomly ALL CAPS
- L25 25% of cells will be randomly all lowercase
- E25 25% of all rows will be subjected to synthetic OCR augmentation
- R05 5% chance that a given character in an OCR a... | phyloforfun/HLT_MICH_Angiospermae_SLTPvA_v1-0__OCR-C25-L25-E25-R05 | [
"license:cc-by-sa-4.0",
"region:us"
] | 2023-11-29T16:23:53+00:00 | {"license": "cc-by-sa-4.0", "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16878481512, "num_examples": 10134076}], "download_size": 1579045698, "dataset_size": 16878481512}... | 2023-11-29T21:40:32+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
| SLTPvA
Dataset:
- Alpaca format
- All MICH Angiospermae entries as of 28-11-2023 (v1-0)
Synthetic OCR:
- C25 25% of cells will be randomly ALL CAPS
- L25 25% of cells will be randomly all lowercase
- E25 25% of all rows will be subjected to synthetic OCR augmentation
- R05 5% chance that a given character in an OCR a... | [] | [
"TAGS\n#license-cc-by-sa-4.0 #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-cc-by-sa-4.0 #region-us \n"
] |
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