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DamarJati/IND-number-plate
2023-09-29T22:06:24.000Z
[ "task_categories:text-classification", "size_categories:n<1K", "region:us" ]
DamarJati
null
null
null
0
0
--- task_categories: - text-classification size_categories: - n<1K --- Original datasets: https://www.kaggle.com/datasets/firqaaa/indonesian-vehicle-plate-numbers
stepfn/notebooks
2023-10-03T08:12:23.000Z
[ "region:us" ]
stepfn
null
null
null
0
0
Entry not found
farhanyh/freesia-example
2023-09-29T13:30:21.000Z
[ "region:us" ]
farhanyh
null
null
null
0
0
Entry not found
shreyans92dhankhar/test
2023-09-29T13:35:35.000Z
[ "region:us" ]
shreyans92dhankhar
null
null
null
0
0
Entry not found
amitraheja82/Market_Mail_Synthetic_DataSet1
2023-09-29T13:37:19.000Z
[ "region:us" ]
amitraheja82
null
null
null
0
0
--- dataset_info: features: - name: product dtype: string - name: description dtype: string - name: marketing_email dtype: string splits: - name: train num_bytes: 19809 num_examples: 10 download_size: 25170 dataset_size: 19809 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "Market_Mail_Synthetic_DataSet1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
NebulaSense/Legal_Clause_Instructions
2023-10-03T13:46:10.000Z
[ "license:cc-by-nc-4.0", "region:us" ]
NebulaSense
null
null
null
0
0
--- license: cc-by-nc-4.0 ---
onigetoc/Test
2023-09-29T13:43:28.000Z
[ "license:mit", "region:us" ]
onigetoc
null
null
null
0
0
--- license: mit ---
jefi/lsfb_isol
2023-09-29T14:00:55.000Z
[ "region:us" ]
jefi
null
null
null
0
0
Entry not found
PulsarAI/user-orgs-huggingface-leaderboard
2023-10-11T00:45:40.000Z
[ "license:cc-by-nc-4.0", "region:us" ]
PulsarAI
null
null
null
0
0
--- license: cc-by-nc-4.0 --- # Huggingface Leaderboard's Dataset 🏆 This is the dataset of [Huggingface Leaderboard](https://huggingface.co/spaces/PulsarAI/huggingface-leaderboard). 🗒️ This dataset contains usernames and organization names in a TXT file. ⌛ This dataset is automatically updated using GitHub Actions. ## Leaderboard Link 🔗 [PulsarAI/huggingface-leaderboard](https://huggingface.co/spaces/PulsarAI/huggingface-leaderboard)
Tim793/MCQ_Chapter_1
2023-10-04T21:15:10.000Z
[ "region:us" ]
Tim793
null
null
null
0
0
Entry not found
diegomiranda/wine-images-dataset
2023-09-29T14:50:34.000Z
[ "region:us" ]
diegomiranda
null
null
null
0
0
Entry not found
yazhou80/paper
2023-09-29T15:35:20.000Z
[ "region:us" ]
yazhou80
null
null
null
0
0
Entry not found
shihuojian/test
2023-09-29T15:08:35.000Z
[ "region:us" ]
shihuojian
null
null
null
0
0
Entry not found
yazhou80/paper2
2023-09-29T15:22:27.000Z
[ "region:us" ]
yazhou80
null
null
null
0
0
Entry not found
mariosasko/imdb_push_to_hub_single_commit
2023-09-29T15:33:08.000Z
[ "region:us" ]
mariosasko
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': neg '1': pos splits: - name: train num_bytes: 33432823 num_examples: 25000 download_size: 21062498 dataset_size: 33432823 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "imdb_push_to_hub_single_commit" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
alternativerealitystudio/stablediffusion
2023-09-29T15:41:31.000Z
[ "license:mit", "region:us" ]
alternativerealitystudio
null
null
null
0
0
--- license: mit ---
fiveflow/korquad_v2_sample
2023-09-29T15:41:48.000Z
[ "region:us" ]
fiveflow
null
null
null
0
0
--- dataset_info: features: - name: context dtype: string splits: - name: train num_bytes: 61993804 num_examples: 3034 - name: validation num_bytes: 38581196 num_examples: 1916 download_size: 24996643 dataset_size: 100575000 --- # Dataset Card for "korquad_v2_sample" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
JackJoerns/MTE
2023-09-29T15:54:23.000Z
[ "region:us" ]
JackJoerns
null
null
null
0
0
Entry not found
totally-not-an-llm/airomerge1.4.1-2.2.1
2023-09-29T15:59:47.000Z
[ "license:other", "region:us" ]
totally-not-an-llm
null
null
null
0
0
--- license: other license_name: airoboros license_link: LICENSE ---
diegomiranda/testing-image-upload
2023-09-29T16:09:03.000Z
[ "region:us" ]
diegomiranda
null
null
null
0
0
Entry not found
totally-not-an-llm/airoboros-textbook-gpt4-graded
2023-10-01T05:12:45.000Z
[ "license:other", "region:us" ]
totally-not-an-llm
null
null
null
1
0
--- license: other license_name: airoboros license_link: LICENSE --- Graded by gpt4-0314 with this prompt: ``` A textbook entry has been proposed that would be written following the instruction: {instruction} Rate the educational value of the proposal from 1-100 for a LLM trying to learn english, general knowledge, python coding, logic, reasoning, etc. Simply give the numerical rating with no explanation. ``` Currently unfinished
jclian91/open_domain_triple_extraction
2023-09-29T16:29:37.000Z
[ "license:mit", "region:us" ]
jclian91
null
null
null
0
0
--- license: mit --- 开放领域三元组抽取数据(主要为人物关系,职务头衔等),个人手动收集整理。 训练数据(train):spo.json,共 5259 条数据。 测试数据(test):evaluate_data.xlsx,共 100 条数据。
BangumiBase/gabrieldropout
2023-09-29T17:23:04.000Z
[ "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 Gabriel Dropout This is the image base of bangumi Gabriel Dropout, we detected 20 characters, 1684 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 | 340 | [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 | 27 | [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 | 12 | [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 | 84 | [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 | 13 | [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 | 11 | [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 | 312 | [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 | 12 | [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 | 8 | [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 | 8 | [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 | 382 | [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 | 40 | [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 | 19 | [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 | 14 | [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 | 54 | [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 | 11 | [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 | 9 | [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 | 228 | [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 | 77 | [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) |
Cmohno/Fake_news_detection_datasets
2023-09-29T16:48:48.000Z
[ "region:us" ]
Cmohno
null
null
null
0
0
Entry not found
vladisha3000/NewDataIcons
2023-09-29T17:24:05.000Z
[ "region:us" ]
vladisha3000
null
null
null
0
0
--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 43477.0 num_examples: 16 - name: validation num_bytes: 2666.0 num_examples: 1 - name: test num_bytes: 51422.0 num_examples: 17 download_size: 121172 dataset_size: 97565.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* --- # Dataset Card for "NewDataIcons" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
LaZouzoute/mastu
2023-09-29T17:15:05.000Z
[ "region:us" ]
LaZouzoute
null
null
null
0
0
Entry not found
KaraKaraWitch/EducatedGuess.py
2023-09-29T20:47:26.000Z
[ "region:us" ]
KaraKaraWitch
null
null
null
0
0
Entry not found
theurbanblockchain/test
2023-09-29T18:12:56.000Z
[ "license:apache-2.0", "region:us" ]
theurbanblockchain
null
null
null
0
0
--- license: apache-2.0 ---
rookshanks/dart_fdistill_format
2023-09-29T18:37:21.000Z
[ "region:us" ]
rookshanks
null
null
null
0
0
--- dataset_info: features: - name: context dtype: string - name: response dtype: string splits: - name: train num_bytes: 16093785 num_examples: 62659 - name: validation num_bytes: 531172 num_examples: 2775 - name: test num_bytes: 982476 num_examples: 5106 download_size: 4417222 dataset_size: 17607433 --- # Dataset Card for "dart_fdistill_format" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
jonathanasdf/MathGLM-dataset
2023-09-29T20:05:59.000Z
[ "license:afl-3.0", "region:us" ]
jonathanasdf
null
null
null
0
0
--- license: afl-3.0 --- https://github.com/THUDM/MathGLM
toloka/crowdkit-datasets
2023-09-29T19:30:07.000Z
[ "license:cc", "region:us" ]
toloka
null
null
null
0
0
--- license: cc ---
Dmitriy/proc_with_lm
2023-09-29T19:16:23.000Z
[ "region:us" ]
Dmitriy
null
null
null
0
0
Entry not found
BangumiBase/watashinitenshigamaiorita
2023-09-29T20:22:42.000Z
[ "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 Watashi Ni Tenshi Ga Maiorita! This is the image base of bangumi Watashi ni Tenshi ga Maiorita!, we detected 24 characters, 2822 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 | 431 | [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 | 34 | [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 | 184 | [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 | 435 | [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 | 36 | [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 | 452 | [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 | 55 | [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 | 22 | [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 | 6 | [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) | N/A | N/A | | 9 | 59 | [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 | 70 | [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 | 8 | [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 | 593 | [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 | 18 | [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 | 43 | [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 | 17 | [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 | 10 | [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 | 7 | [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) | N/A | | 18 | 166 | [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 | 6 | [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) | N/A | N/A | | 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 | 18 | [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) | | noise | 133 | [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) |
Retsadila/kateee
2023-09-29T19:22:59.000Z
[ "region:us" ]
Retsadila
null
null
null
0
0
Entry not found
jonathanasdf/MathGLM-dataset-500k
2023-09-29T19:35:38.000Z
[ "license:afl-3.0", "region:us" ]
jonathanasdf
null
null
null
0
0
--- license: afl-3.0 --- Every 100th row from https://github.com/THUDM/MathGLM (original dataset has 50M entries)
Nicolas-BZRD/DILA_OPENDATA_FR_2023
2023-10-04T18:44:41.000Z
[ "task_categories:text-classification", "task_categories:question-answering", "task_categories:text-generation", "size_categories:10M<n<100M", "language:fr", "license:odc-by", "finance", "legal", "region:us" ]
Nicolas-BZRD
null
null
null
0
0
--- license: odc-by configs: - config_name: default data_files: - split: acco path: data/acco/*.arrow - split: balo path: data/balo/*.arrow - split: capp path: data/capp/*.arrow - split: cass path: data/cass/*.arrow - split: cnil path: data/cnil/*.arrow - split: constit path: data/constit/*.arrow - split: debats path: data/debats/*.arrow - split: dole path: data/dole/*.arrow - split: inca path: data/inca/*.arrow - split: jade path: data/jade/*.arrow - split: jorf path: data/jorf/*.arrow - split: kali path: data/kali/*.arrow - split: legi path: data/legi/*.arrow - split: qr path: data/qr/*.arrow - split: sarde path: data/sarde/*.arrow task_categories: - text-classification - question-answering - text-generation language: - fr tags: - finance - legal size_categories: - 10M<n<100M pretty_name: French Government Open Data (DILA) Dataset - 2023 --- # French Government Open Data (DILA) Dataset - 2023 ## Overview The French Government Open Data (DILA) Dataset is a collection of text data extracted from various sources provided by the French government, specifically the Direction de l'information légale et administrative (DILA). This dataset contains a wide range of legal, administrative, and legislative documents. The data has been organized into several categories for easy access and analysis. ## Dataset Splits The dataset is organized into the following splits or categories: - acco: Legal documents related to accounting and finance. - balo: Documents related to the Bulletin des Annonces Légales Obligatoires (BALO), which publishes legal notices. - capp: Administrative documents related to public policies and planning. - cass: Documents related to the Cour de cassation (Court of Cassation), France's highest judicial court. - cnil: Documents related to the Commission nationale de l'informatique et des libertés (CNIL), which deals with data protection and privacy. - constit: Documents related to the French constitution and constitutional law. - debats: Transcripts of parliamentary debates and discussions. - dole: Documents related to employment and unemployment benefits. - inca: Documents related to the Institut National du Cancer (INCa), which deals with cancer research and policy. - jade: Legal documents related to jurisprudence and legal decisions. - jorf: Documents related to the Journal Officiel de la République Française (JORF), the official journal of the French government. - kali: Documents related to the Kali database, which contains collective agreements. - legi: Legal documents related to French legislation. - qr: Questions and answers related to parliamentary sessions. - sarde: Documents related to the Service d'administration des réseaux de l'État (SARDE), which manages government networks. ## Dataset Details Size: 25.65 GB (25 647 979 364 bytes)<br> Languages: French<br> Data Format: Plain text<br> License: OPEN LICENCE<br> Data Sources: https://echanges.dila.gouv.fr/OPENDATA/<br> Data Collection Date: October, 2023<br> Data Structure: Id, Text<br> - Id: A unique identifier for each document, consisting of the split name and the file name (split/file_name.txt). - Text: The main text content of the document. ## Citation If you use this dataset in your research or projects, please cite it using the following citation : ``` @misc{nicolasbzrd2023dila, title={French Government Open Data (DILA) Dataset - 2023}, author={Nicolas Boizard, Manuel Faysse}, year={2023} } ``` ## Acknowledgments We would like to acknowledge the French government and the Direction de l'information légale et administrative (DILA) for providing access to the data used in this dataset. ## License Information The French Government Open Data (DILA) Dataset is made available under the terms of the "LICENCE OUVERTE / OPEN LICENCE Version 2.0." LICENCE OUVERTE / OPEN LICENCE Version 2.0<br> License Name: LICENCE OUVERTE / OPEN LICENCE Version 2.0<br> License Text: The full text of the LICENCE OUVERTE / OPEN LICENCE Version 2.0 can be found [here](https://www.etalab.gouv.fr/wp-content/uploads/2017/04/ETALAB-Licence-Ouverte-v2.0.pdf) (in French).<br> Summary: This license allows you to: - Copy, modify, publish, translate, distribute, or otherwise exploit the data, in any medium, mode, or format, for any lawful purpose. - Acknowledge the source of the data by providing appropriate attribution when using the data. - Ensure that you do not use the data in a way that suggests any official status or endorsement by the French Government or the Direction de l'information légale et administrative (DILA). - Comply with the terms and conditions of the license. By using this dataset, you agree to comply with the terms and conditions specified in the LICENCE OUVERTE / OPEN LICENCE Version 2.0. For more details, please review the full text of the license provided at the link above.
vlsp-2023-vllm/vllms-leaderboard
2023-10-09T03:26:37.000Z
[ "region:us" ]
vlsp-2023-vllm
null
null
null
0
0
Entry not found
Ratinomest/Semeval2024
2023-09-29T20:49:03.000Z
[ "region:us" ]
Ratinomest
null
null
null
0
0
Entry not found
MBZUAI/VideoInstruct-100K
2023-09-29T21:58:17.000Z
[ "license:cc-by-sa-4.0", "region:us" ]
MBZUAI
null
null
null
1
0
--- license: cc-by-sa-4.0 --- VideoInstruct100K is a high-quality video conversation dataset generated using human-assisted and semi-automatic annotation techniques. The question answers in the dataset are related to, - Video Summariazation - Description-based question-answers (exploring spatial, temporal, relationships, and reasoning concepts) - Creative/generative question-answers For mored details, please visit [Oryx/VideoChatGPT/video-instruction-data-generation](https://github.com/mbzuai-oryx/Video-ChatGPT/blob/main/data/README.md). If you find this dataset useful, please consider citing the paper, ```bibtex @article{Maaz2023VideoChatGPT, title={Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models}, author={Muhammad Maaz, Hanoona Rasheed, Salman Khan and Fahad Khan}, journal={ArXiv 2306.05424}, year={2023} } ```
abdulhade/Test_Asosoft_WER
2023-09-29T22:03:32.000Z
[ "task_categories:feature-extraction", "size_categories:n<1K", "language:ku", "license:apache-2.0", "code", "region:us" ]
abdulhade
null
null
null
0
0
--- license: apache-2.0 language: - ku size_categories: - n<1K task_categories: - feature-extraction tags: - code pretty_name: wer --- WER evaluation asosoft test set with large v2 whisper model
indiejoseph/cantonese-cot
2023-09-29T22:19:05.000Z
[ "region:us" ]
indiejoseph
null
null
null
0
0
--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 27894398 num_examples: 74771 download_size: 0 dataset_size: 27894398 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "cantonese-cot" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
hfpic/neun23
2023-09-29T23:45:13.000Z
[ "region:us" ]
hfpic
null
null
null
0
0
Entry not found
DamarJati/GreenLabel-Waste-Types
2023-09-30T06:54:29.000Z
[ "task_categories:text-classification", "size_categories:10K<n<100K", "language:en", "region:us" ]
DamarJati
null
null
null
1
0
--- viewer: true task_categories: - text-classification language: - en pretty_name: GreenLabel-Waste-Types size_categories: - 10K<n<100K --- Original Datasets: https://www.kaggle.com/datasets/techsash/waste-classification-data?select=DATASET
WrongCoward/HuTao
2023-09-29T22:27:48.000Z
[ "license:openrail", "region:us" ]
WrongCoward
null
null
null
0
0
--- license: openrail ---
ppxscal/arxiv_embeddings
2023-09-29T22:53:32.000Z
[ "license:mit", "region:us" ]
ppxscal
null
null
null
0
0
--- license: mit ---
Dloring1/OpenOrca-mini-2
2023-09-29T23:54:10.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 761062829 num_examples: 423392 download_size: 434880819 dataset_size: 761062829 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "OpenOrca-mini-2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/OpenOrca-mini-3
2023-09-29T23:55:19.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 725347673 num_examples: 423392 download_size: 416612793 dataset_size: 725347673 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "OpenOrca-mini-3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/OpenOrca-mini-4
2023-09-29T23:56:19.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 710639997 num_examples: 423392 download_size: 409286898 dataset_size: 710639997 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "OpenOrca-mini-4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/OpenOrca-mini-5
2023-09-29T23:57:19.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 710955891 num_examples: 423392 download_size: 409461673 dataset_size: 710955891 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "OpenOrca-mini-5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/OpenOrca-mini-6
2023-09-29T23:58:22.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 709917966 num_examples: 423392 download_size: 409156650 dataset_size: 709917966 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "OpenOrca-mini-6" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/OpenOrca-mini-7
2023-09-29T23:59:22.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 707896660 num_examples: 423392 download_size: 407762213 dataset_size: 707896660 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "OpenOrca-mini-7" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/OpenOrca-mini-8
2023-09-30T00:00:25.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 711252613 num_examples: 423392 download_size: 409802930 dataset_size: 711252613 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "OpenOrca-mini-8" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/OpenOrca-mini-9
2023-09-30T00:01:24.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 710843539 num_examples: 423392 download_size: 409529126 dataset_size: 710843539 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "OpenOrca-mini-9" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/OpenOrca-mini-10
2023-09-30T00:02:24.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 710982774 num_examples: 423392 download_size: 409681120 dataset_size: 710982774 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "OpenOrca-mini-10" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
evanfrick/chess
2023-09-29T23:25:20.000Z
[ "region:us" ]
evanfrick
null
null
null
0
0
Entry not found
Monda/arabic_poetry
2023-09-29T23:46:18.000Z
[ "region:us" ]
Monda
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-1
2023-09-30T00:06:15.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-2
2023-09-30T00:06:23.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-3
2023-09-30T00:06:29.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-4
2023-09-30T00:06:35.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-5
2023-09-30T00:06:41.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-6
2023-09-30T00:06:47.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-7
2023-09-30T00:06:53.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-8
2023-09-30T00:07:00.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-9
2023-09-30T00:07:05.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-10
2023-09-30T00:07:11.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-11
2023-09-30T00:07:30.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-12
2023-09-30T00:07:35.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-13
2023-09-30T00:07:41.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-14
2023-09-30T00:07:48.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-15
2023-09-30T00:07:54.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-16
2023-09-30T00:07:59.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-17
2023-09-30T00:08:06.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-18
2023-09-30T00:08:11.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-19
2023-09-30T00:08:17.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-20
2023-09-30T00:08:36.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-21
2023-09-30T00:08:43.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-22
2023-09-30T00:08:49.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-23
2023-09-30T00:08:54.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-24
2023-09-30T00:09:00.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-25
2023-09-30T00:09:06.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-26
2023-09-30T00:09:14.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-27
2023-09-30T00:09:19.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-28
2023-09-30T00:09:27.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-29
2023-09-30T00:09:33.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-30
2023-09-30T00:09:39.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-31
2023-09-30T00:09:46.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-32
2023-09-30T00:09:52.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-33
2023-09-30T00:09:58.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-34
2023-09-30T00:10:04.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-35
2023-09-30T00:10:10.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-36
2023-09-30T00:10:17.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-37
2023-09-30T00:10:45.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-38
2023-09-30T00:10:51.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-39
2023-09-30T00:10:57.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/falcon-refinedweb-mini-40
2023-09-30T00:11:03.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/the-pile-mini-1
2023-09-30T00:22:31.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/the-pile-mini-2
2023-09-30T00:22:35.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/the-pile-mini-3
2023-09-30T00:22:42.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found
Dloring1/the-pile-mini-4
2023-09-30T00:22:49.000Z
[ "region:us" ]
Dloring1
null
null
null
0
0
Entry not found