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Dloring1/the-pile-mini-5
2023-09-30T00:22:56.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/the-pile-mini-6
2023-09-30T00:23:00.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/the-pile-mini-7
2023-09-30T00:23:06.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/the-pile-mini-8
2023-09-30T00:23:12.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/the-pile-mini-9
2023-09-30T00:23:16.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/the-pile-mini-10
2023-09-30T00:23:22.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
marasama/nva-julietta
2023-09-30T00:29:58.000Z
[ "region:us" ]
marasama
null
null
null
0
0
Entry not found
Dloring1/wikipedia-mini-1
2023-09-30T00:33:51.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/wikipedia-mini-2
2023-09-30T00:33:56.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/wikipedia-mini-3
2023-09-30T00:34:02.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/wikipedia-mini-4
2023-09-30T00:34:08.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/wikipedia-mini-5
2023-09-30T00:34:14.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/wikipedia-mini-6
2023-09-30T00:34:19.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/wikipedia-mini-7
2023-09-30T00:34:24.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/wikipedia-mini-8
2023-09-30T00:34:30.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/wikipedia-mini-9
2023-09-30T00:34:37.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/wikipedia-mini-10
2023-09-30T00:34:42.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/math-mini-1
2023-09-30T00:47:47.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 11093600 num_examples: 199999 download_size: 5325362 dataset_size: 11093600 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "math-mini-1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/math-mini-2
2023-09-30T00:47:51.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 11089174 num_examples: 199999 download_size: 5323843 dataset_size: 11089174 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "math-mini-2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/math-mini-3
2023-09-30T00:47:56.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 11090672 num_examples: 199999 download_size: 5324467 dataset_size: 11090672 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "math-mini-3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/math-mini-4
2023-09-30T00:47:59.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 10201951 num_examples: 199999 download_size: 4504516 dataset_size: 10201951 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "math-mini-4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/math-mini-5
2023-09-30T00:48:03.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 9757239 num_examples: 199999 download_size: 4096459 dataset_size: 9757239 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "math-mini-5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/math-mini-6
2023-09-30T00:48:07.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 9758878 num_examples: 199999 download_size: 4098340 dataset_size: 9758878 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "math-mini-6" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/math-mini-7
2023-09-30T00:48:11.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 10691032 num_examples: 199999 download_size: 4984467 dataset_size: 10691032 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "math-mini-7" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/math-mini-8
2023-09-30T00:48:15.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 12553893 num_examples: 199999 download_size: 6754151 dataset_size: 12553893 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "math-mini-8" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/math-mini-9
2023-09-30T00:48:19.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 12551772 num_examples: 199999 download_size: 6751942 dataset_size: 12551772 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "math-mini-9" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/math-mini-10
2023-09-30T00:48:23.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 12547351 num_examples: 199999 download_size: 6750152 dataset_size: 12547351 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "math-mini-10" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/c4-mini-1
2023-09-30T00:46:42.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-2
2023-09-30T00:46:48.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-3
2023-09-30T00:46:53.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-4
2023-09-30T00:46:58.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-5
2023-09-30T00:47:03.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-6
2023-09-30T00:47:08.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-7
2023-09-30T00:47:18.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-8
2023-09-30T00:47:24.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-9
2023-09-30T00:47:31.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-10
2023-09-30T00:47:40.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-11
2023-09-30T01:00:09.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-12
2023-09-30T01:00:14.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-13
2023-09-30T01:00:19.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-14
2023-09-30T01:00:24.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-15
2023-09-30T01:00:30.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-16
2023-09-30T01:00:36.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-17
2023-09-30T01:00:44.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-18
2023-09-30T01:00:50.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-19
2023-09-30T01:00:58.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-20
2023-09-30T01:01:02.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-21
2023-09-30T01:01:08.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
12345testing/echo_testing
2023-09-30T01:01:15.000Z
[ "region:us" ]
12345testing
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 524579.0 num_examples: 8 download_size: 525593 dataset_size: 524579.0 --- # Dataset Card for "echo_testing" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/c4-mini-22
2023-09-30T01:01:12.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-23
2023-09-30T01:01:18.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-24
2023-09-30T01:01:23.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-25
2023-09-30T01:01:29.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-26
2023-09-30T01:01:35.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-27
2023-09-30T01:01:42.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-28
2023-09-30T01:01:47.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-29
2023-09-30T01:01:53.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-30
2023-09-30T01:01:58.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-31
2023-09-30T01:02:11.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-32
2023-09-30T01:02:16.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-33
2023-09-30T01:02:21.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-34
2023-09-30T01:02:26.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-35
2023-09-30T01:02:31.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-36
2023-09-30T01:02:38.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-37
2023-09-30T01:02:44.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-38
2023-09-30T01:02:49.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-39
2023-09-30T01:02:54.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/c4-mini-40
2023-09-30T01:03:01.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Binho7/victorino
2023-09-30T03:50:54.000Z
[ "license:openrail", "region:us" ]
Binho7
null
null
null
0
0
--- license: openrail ---
lazyTsunday/whatisarepo
2023-09-30T02:24:54.000Z
[ "region:us" ]
lazyTsunday
null
null
null
0
0
Entry not found
manu/code_5p_data
2023-09-30T03:31:46.000Z
[ "region:us" ]
manu
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: id dtype: string - name: text dtype: string - name: dataset_id dtype: string splits: - name: train num_bytes: 9842414063 num_examples: 2211562 - name: test num_bytes: 4833827 num_examples: 642 download_size: 4214480484 dataset_size: 9847247890 --- # Dataset Card for "code_5p_data" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
madmaxima/guanaco-llama2-1k
2023-09-30T02:47:14.000Z
[ "region:us" ]
madmaxima
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1654448 num_examples: 1000 download_size: 966693 dataset_size: 1654448 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "guanaco-llama2-1k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Xokito/datasetsv2
2023-09-30T03:11:53.000Z
[ "license:openrail", "region:us" ]
Xokito
null
null
null
0
0
--- license: openrail ---
BangumiBase/newgame
2023-09-30T04:56:10.000Z
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
BangumiBase
null
null
null
0
0
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of New Game! This is the image base of bangumi New Game!, we detected 25 characters, 4097 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 this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------| | 0 | 1097 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 319 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 10 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 14 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 288 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 227 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 231 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 38 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 10 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 114 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 142 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 282 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 26 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 335 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 9 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 483 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 48 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 23 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 11 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 12 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 130 | [Download](20/dataset.zip) | ![preview 1](20/preview_1.png) | ![preview 2](20/preview_2.png) | ![preview 3](20/preview_3.png) | ![preview 4](20/preview_4.png) | ![preview 5](20/preview_5.png) | ![preview 6](20/preview_6.png) | ![preview 7](20/preview_7.png) | ![preview 8](20/preview_8.png) | | 21 | 7 | [Download](21/dataset.zip) | ![preview 1](21/preview_1.png) | ![preview 2](21/preview_2.png) | ![preview 3](21/preview_3.png) | ![preview 4](21/preview_4.png) | ![preview 5](21/preview_5.png) | ![preview 6](21/preview_6.png) | ![preview 7](21/preview_7.png) | N/A | | 22 | 12 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 6 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | N/A | N/A | | noise | 223 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
qgyd2021/rlhf_reward_dataset
2023-10-10T11:11:01.000Z
[ "task_categories:question-answering", "task_categories:text-generation", "size_categories:100M<n<1B", "language:zh", "language:en", "license:apache-2.0", "reward model", "rlhf", "arxiv:2204.05862", "region:us" ]
qgyd2021
null
@dataset{rlhf_reward_dataset, author = {Xing Tian}, title = {rlhf_reward_dataset}, month = sep, year = 2023, publisher = {Xing Tian}, version = {1.0}, }
null
4
0
--- license: apache-2.0 task_categories: - question-answering - text-generation language: - zh - en tags: - reward model - rlhf size_categories: - 100M<n<1B --- ## RLHF Reward Model Dataset 奖励模型数据集。 数据集从网上收集整理如下: | 数据 | 语言 | 原始数据/项目地址 | 样本个数 | 原始数据描述 | 替代数据下载地址 | | :--- | :---: | :---: | :---: | :---: | :---: | | beyond | chinese | [beyond/rlhf-reward-single-round-trans_chinese](https://huggingface.co/datasets/beyond/rlhf-reward-single-round-trans_chinese) | 24858 | | | | helpful_and_harmless | chinese | [dikw/hh_rlhf_cn](https://huggingface.co/datasets/dikw/hh_rlhf_cn) | harmless train 42394 条,harmless test 2304 条,helpful train 43722 条,helpful test 2346 条, | 基于 Anthropic 论文 [Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback](https://arxiv.org/abs/2204.05862) 开源的 helpful 和harmless 数据,使用翻译工具进行了翻译。 | [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf) | | zhihu_3k | chinese | [liyucheng/zhihu_rlhf_3k](https://huggingface.co/datasets/liyucheng/zhihu_rlhf_3k) | 3460 | 知乎上的问答有用户的点赞数量,它应该是根据点赞数量来判断答案的优先级。 | | | SHP | english | [stanfordnlp/SHP](https://huggingface.co/datasets/stanfordnlp/SHP) | 385K | 涉及18个子领域,偏好表示是否有帮助。 | | <details> <summary>参考的数据来源,展开查看</summary> <pre><code> https://huggingface.co/datasets/ticoAg/rlhf_zh https://huggingface.co/datasets/beyond/rlhf-reward-single-round-trans_chinese https://huggingface.co/datasets/dikw/hh_rlhf_cn https://huggingface.co/datasets/liyucheng/zhihu_rlhf_3k </code></pre> </details>
manu/code_5p_data_separate
2023-09-30T03:36:37.000Z
[ "region:us" ]
manu
null
null
null
0
0
--- configs: - config_name: default data_files: - split: StarcoderdataPythonTrain path: data/StarcoderdataPythonTrain-* - split: StarcoderdataPythonTest path: data/StarcoderdataPythonTest-* - split: StarcoderdataMarkdownTrain path: data/StarcoderdataMarkdownTrain-* - split: StarcoderdataMarkdownTest path: data/StarcoderdataMarkdownTest-* - split: StarcoderdataJupyterScriptsDedupFilteredTrain path: data/StarcoderdataJupyterScriptsDedupFilteredTrain-* - split: StarcoderdataJupyterScriptsDedupFilteredTest path: data/StarcoderdataJupyterScriptsDedupFilteredTest-* - split: StarcoderdataJupyterStructuredCleanDedupTrain path: data/StarcoderdataJupyterStructuredCleanDedupTrain-* - split: StarcoderdataJupyterStructuredCleanDedupTest path: data/StarcoderdataJupyterStructuredCleanDedupTest-* - split: StarcoderdataJsonTrain path: data/StarcoderdataJsonTrain-* - split: StarcoderdataJsonTest path: data/StarcoderdataJsonTest-* - split: CodeContestsTrain path: data/CodeContestsTrain-* - split: CodeContestsTest path: data/CodeContestsTest-* - split: PypiCleanTrain path: data/PypiCleanTrain-* - split: PypiCleanTest path: data/PypiCleanTest-* dataset_info: features: - name: id dtype: string - name: text dtype: string - name: dataset_id dtype: string splits: - name: StarcoderdataPythonTrain num_bytes: 3077290405 num_examples: 643232 - name: StarcoderdataPythonTest num_bytes: 546326 num_examples: 100 - name: StarcoderdataMarkdownTrain num_bytes: 4054448273 num_examples: 1051364 - name: StarcoderdataMarkdownTest num_bytes: 680799 num_examples: 100 - name: StarcoderdataJupyterScriptsDedupFilteredTrain num_bytes: 401590417 num_examples: 45626 - name: StarcoderdataJupyterScriptsDedupFilteredTest num_bytes: 724111 num_examples: 100 - name: StarcoderdataJupyterStructuredCleanDedupTrain num_bytes: 316718609 num_examples: 33337 - name: StarcoderdataJupyterStructuredCleanDedupTest num_bytes: 971655 num_examples: 100 - name: StarcoderdataJsonTrain num_bytes: 291208312 num_examples: 237477 - name: StarcoderdataJsonTest num_bytes: 112941 num_examples: 100 - name: CodeContestsTrain num_bytes: 151487748 num_examples: 78717 - name: CodeContestsTest num_bytes: 79396 num_examples: 42 - name: PypiCleanTrain num_bytes: 1549670299 num_examples: 121809 - name: PypiCleanTest num_bytes: 1718599 num_examples: 100 download_size: 4213817063 dataset_size: 9847247890 --- # Dataset Card for "code_5p_data_separate" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
BangumiBase/majonotabitabi
2023-09-30T05:00:42.000Z
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
BangumiBase
null
null
null
0
0
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Majo No Tabitabi This is the image base of bangumi Majo no Tabitabi, we detected 35 characters, 1477 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 this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------| | 0 | 494 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 33 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 16 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 29 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 32 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 20 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 11 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 13 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 79 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 33 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 18 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 82 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 41 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 30 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 18 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 15 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 16 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 21 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 17 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 13 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 15 | [Download](20/dataset.zip) | ![preview 1](20/preview_1.png) | ![preview 2](20/preview_2.png) | ![preview 3](20/preview_3.png) | ![preview 4](20/preview_4.png) | ![preview 5](20/preview_5.png) | ![preview 6](20/preview_6.png) | ![preview 7](20/preview_7.png) | ![preview 8](20/preview_8.png) | | 21 | 16 | [Download](21/dataset.zip) | ![preview 1](21/preview_1.png) | ![preview 2](21/preview_2.png) | ![preview 3](21/preview_3.png) | ![preview 4](21/preview_4.png) | ![preview 5](21/preview_5.png) | ![preview 6](21/preview_6.png) | ![preview 7](21/preview_7.png) | ![preview 8](21/preview_8.png) | | 22 | 9 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 28 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | ![preview 7](23/preview_7.png) | ![preview 8](23/preview_8.png) | | 24 | 11 | [Download](24/dataset.zip) | ![preview 1](24/preview_1.png) | ![preview 2](24/preview_2.png) | ![preview 3](24/preview_3.png) | ![preview 4](24/preview_4.png) | ![preview 5](24/preview_5.png) | ![preview 6](24/preview_6.png) | ![preview 7](24/preview_7.png) | ![preview 8](24/preview_8.png) | | 25 | 8 | [Download](25/dataset.zip) | ![preview 1](25/preview_1.png) | ![preview 2](25/preview_2.png) | ![preview 3](25/preview_3.png) | ![preview 4](25/preview_4.png) | ![preview 5](25/preview_5.png) | ![preview 6](25/preview_6.png) | ![preview 7](25/preview_7.png) | ![preview 8](25/preview_8.png) | | 26 | 6 | [Download](26/dataset.zip) | ![preview 1](26/preview_1.png) | ![preview 2](26/preview_2.png) | ![preview 3](26/preview_3.png) | ![preview 4](26/preview_4.png) | ![preview 5](26/preview_5.png) | ![preview 6](26/preview_6.png) | N/A | N/A | | 27 | 6 | [Download](27/dataset.zip) | ![preview 1](27/preview_1.png) | ![preview 2](27/preview_2.png) | ![preview 3](27/preview_3.png) | ![preview 4](27/preview_4.png) | ![preview 5](27/preview_5.png) | ![preview 6](27/preview_6.png) | N/A | N/A | | 28 | 11 | [Download](28/dataset.zip) | ![preview 1](28/preview_1.png) | ![preview 2](28/preview_2.png) | ![preview 3](28/preview_3.png) | ![preview 4](28/preview_4.png) | ![preview 5](28/preview_5.png) | ![preview 6](28/preview_6.png) | ![preview 7](28/preview_7.png) | ![preview 8](28/preview_8.png) | | 29 | 17 | [Download](29/dataset.zip) | ![preview 1](29/preview_1.png) | ![preview 2](29/preview_2.png) | ![preview 3](29/preview_3.png) | ![preview 4](29/preview_4.png) | ![preview 5](29/preview_5.png) | ![preview 6](29/preview_6.png) | ![preview 7](29/preview_7.png) | ![preview 8](29/preview_8.png) | | 30 | 29 | [Download](30/dataset.zip) | ![preview 1](30/preview_1.png) | ![preview 2](30/preview_2.png) | ![preview 3](30/preview_3.png) | ![preview 4](30/preview_4.png) | ![preview 5](30/preview_5.png) | ![preview 6](30/preview_6.png) | ![preview 7](30/preview_7.png) | ![preview 8](30/preview_8.png) | | 31 | 15 | [Download](31/dataset.zip) | ![preview 1](31/preview_1.png) | ![preview 2](31/preview_2.png) | ![preview 3](31/preview_3.png) | ![preview 4](31/preview_4.png) | ![preview 5](31/preview_5.png) | ![preview 6](31/preview_6.png) | ![preview 7](31/preview_7.png) | ![preview 8](31/preview_8.png) | | 32 | 67 | [Download](32/dataset.zip) | ![preview 1](32/preview_1.png) | ![preview 2](32/preview_2.png) | ![preview 3](32/preview_3.png) | ![preview 4](32/preview_4.png) | ![preview 5](32/preview_5.png) | ![preview 6](32/preview_6.png) | ![preview 7](32/preview_7.png) | ![preview 8](32/preview_8.png) | | 33 | 10 | [Download](33/dataset.zip) | ![preview 1](33/preview_1.png) | ![preview 2](33/preview_2.png) | ![preview 3](33/preview_3.png) | ![preview 4](33/preview_4.png) | ![preview 5](33/preview_5.png) | ![preview 6](33/preview_6.png) | ![preview 7](33/preview_7.png) | ![preview 8](33/preview_8.png) | | noise | 198 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
KonradSzafer/index-instructor-large-512-m512-notebooks
2023-09-30T04:07:10.000Z
[ "region:us" ]
KonradSzafer
null
null
null
0
0
Entry not found
ai4ce/NYC-Event-VPR
2023-10-08T15:24:19.000Z
[ "license:mit", "region:us" ]
ai4ce
null
null
null
1
0
--- license: mit ---
chunpingvi/dataset_format6
2023-09-30T09:02:14.000Z
[ "region:us" ]
chunpingvi
null
null
null
0
0
Entry not found
yuyijiong/booksum-zh
2023-09-30T05:19:30.000Z
[ "task_categories:summarization", "task_categories:text-generation", "language:zh", "license:unknown", "region:us" ]
yuyijiong
null
null
null
0
0
--- license: unknown task_categories: - summarization - text-generation language: - zh --- booksum数据集,谷歌翻译成中文。 任务:将一本书的某个章节总结为几句话。 源数据来自 togethercomputer/Long-Data-Collections
yuyijiong/multi-doc-qa-zh
2023-10-10T10:19:18.000Z
[ "task_categories:text-generation", "task_categories:question-answering", "language:zh", "license:unknown", "region:us" ]
yuyijiong
null
null
null
0
0
--- license: unknown task_categories: - text-generation - question-answering language: - zh --- 多文档qa数据集,谷歌翻译成中文,用于微调长度更大的模型。\ 任务:给定多个参考文档和一个问题,只有一个文档包含有用信息,模型需要根据参考文档回答问题,并指出哪个文档包含有用信息。\ 对于每个question,会提供几十或上百个文档片段,只有一个文档包含有用信息,gold_document_id表示含有有用信息的文档序号,注意文档是从1开始编号。\ 源数据来自 togethercomputer/Long-Data-Collections\
alpayariyak/orca_mini_v1_600_samples
2023-09-30T05:45:45.000Z
[ "region:us" ]
alpayariyak
null
null
null
0
0
--- dataset_info: features: - name: system dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 593574 num_examples: 600 download_size: 284137 dataset_size: 593574 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "orca_mini_v1_600_samples" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Rayhan588/AliRaHan
2023-09-30T05:55:22.000Z
[ "license:apache-2.0", "region:us" ]
Rayhan588
null
null
null
0
0
--- license: apache-2.0 ---
Monkaro/Woman-Class-Images
2023-09-30T07:11:09.000Z
[ "region:us" ]
Monkaro
null
null
null
0
0
Entry not found
cec-neurips23/data
2023-10-02T06:02:00.000Z
[ "license:mit", "region:us" ]
cec-neurips23
null
null
null
0
0
--- license: mit ---
ThrustEra/videos
2023-10-09T04:25:14.000Z
[ "license:mit", "region:us" ]
ThrustEra
null
null
null
0
0
--- license: mit ---
TanvirOnHF/programming-languages
2023-09-30T08:15:18.000Z
[ "size_categories:n<1K", "language:en", "license:cc-by-4.0", "List", "Name", "region:us" ]
TanvirOnHF
null
null
null
0
0
--- license: cc-by-4.0 pretty_name: Programming Languages tags: - List - Name language: - en size_categories: - n<1K --- # programming-languages [TXT dataset] A dataset consisting of a compilation of programming languages obtained from diverse and multiple sources. ## Data Source * [List of programming languages](https://en.wikipedia.org/wiki/List_of_programming_languages) * [List of programming languages by type](https://en.wikipedia.org/wiki/List_of_programming_languages_by_type) * [Programming Languages - Rosetta Code](https://www.rosettacode.org/wiki/Category:Programming_Languages) * [Full List Of Computer Languages - AntiFandom Wiki](https://antifandom.com/computerscience/wiki/Full_List_Of_Computer_Languages) * [List of Markup Languages - AntiFandom Wiki](https://antifandom.com/computerscience/wiki/List_Of_Markup_Languages) * [Awesome low-level programming languages](https://github.com/robertmuth/awesome-low-level-programming-languages) * [Awesome programming languages](https://github.com/ChessMax/awesome-programming-languages) * [List of All the 700+ Programming Languages in the World - Compile Blog](https://compile.blog/programming-languages-list/) ## TODO Add JSON dataset which will contain the following fields: ```json [ { "name": "...", "description": "...", "type": "...", "paradigm": "...", "license": "...", } ] ``` ## Disclaimer Please note that while I strive to maintain data quality, I cannot guarantee the accuracy or quality of all entries in this dataset. Use it responsibly and exercise caution when relying on the data for any critical applications. Your feedback and contributions are greatly appreciated for improving the dataset's overall quality.
BangumiBase/adachitoshimamura
2023-09-30T10:32:24.000Z
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
BangumiBase
null
null
null
0
0
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Adachi To Shimamura This is the image base of bangumi Adachi to Shimamura, we detected 20 characters, 2012 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 this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------| | 0 | 630 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 86 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 15 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 63 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 20 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 145 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 560 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 16 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 40 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 12 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 93 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 11 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 11 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 22 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 13 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 46 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 14 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 79 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 13 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | noise | 123 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
BangumiBase/sakuratrick
2023-09-30T09:02:27.000Z
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
BangumiBase
null
null
null
0
0
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Sakura Trick This is the image base of bangumi Sakura Trick, we detected 17 characters, 1556 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 this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------| | 0 | 322 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 16 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 103 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 167 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 22 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 153 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 94 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 11 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 27 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 243 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 45 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 139 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 13 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 11 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 51 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 8 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | noise | 131 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
imadhajaz/plant_village
2023-09-30T08:22:14.000Z
[ "region:us" ]
imadhajaz
null
null
null
0
0
Entry not found
imadhajaz/plantvillage
2023-09-30T08:27:05.000Z
[ "region:us" ]
imadhajaz
null
null
null
0
0
Entry not found
Kosuke-Yamada/livedoor-news-corpus
2023-09-30T09:27:35.000Z
[ "task_categories:summarization", "size_categories:1K<n<10K", "language:ja", "news", "region:us" ]
Kosuke-Yamada
null
null
null
0
0
--- task_categories: - summarization language: - ja tags: - news pretty_name: livedoor-news-corpus size_categories: - 1K<n<10K --- # Dataset Card for llm-book/ner-wikinews-dataset 書籍『大規模言語モデル入門』で使用する、株式会社ロンウイットが提供する「livedoorニュースコーパス」によるデータセットです。 [オリジナルのサイト](https://www.rondhuit.com/download.html)と同じものを使用しています。 本コーパスは、NHN Japan株式会社が運営する「livedoor ニュース」のうち、下記のクリエイティブ・コモンズライセンスが適用されるニュース記事を収集し、可能な限りHTMLタグを取り除いて作成したものです。 ### Licence Attribution-NoDerivs 2.1 Japan (CC BY-ND 2.1 JP) License
memef4rmer/SD_models
2023-09-30T09:31:30.000Z
[ "license:openrail", "region:us" ]
memef4rmer
null
null
null
0
0
--- license: openrail ---
bulibasha/aztecadata
2023-09-30T09:34:38.000Z
[ "license:openrail", "region:us" ]
bulibasha
null
null
null
0
0
--- license: openrail ---
Muhammedm/Ffgff
2023-09-30T09:43:52.000Z
[ "region:us" ]
Muhammedm
null
null
null
0
0
Entry not found
superpiggyjr/out
2023-09-30T09:46:22.000Z
[ "region:us" ]
superpiggyjr
null
null
null
0
0
Entry not found
AnonySub628/medical-flashcards
2023-09-30T09:49:02.000Z
[ "region:us" ]
AnonySub628
null
null
null
0
0
Entry not found
AnonySub628/biology-scienceqa
2023-09-30T09:50:30.000Z
[ "region:us" ]
AnonySub628
null
null
null
0
0
Entry not found
AnonySub628/physics-scienceqa
2023-09-30T09:51:25.000Z
[ "region:us" ]
AnonySub628
null
null
null
0
0
Entry not found