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NomeIncrivel/Orlandodrummond-puro-osso
NomeIncrivel
2023-11-11T15:00:26Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:00:26Z
2023-11-11T14:59:54.000Z
2023-11-11T14:59:54
--- license: openrail ---
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null
null
null
null
null
null
null
null
null
null
null
null
null
uatafaque/wuanthd
uatafaque
2023-11-11T15:33:26Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:33:26Z
2023-11-11T15:33:07.000Z
2023-11-11T15:33:07
--- license: openrail ---
[ -0.12853369116783142, -0.18616779148578644, 0.6529126167297363, 0.49436280131340027, -0.193193256855011, 0.2360745668411255, 0.36071979999542236, 0.05056314915418625, 0.5793651342391968, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.7102248668670654, -0.04782580211758613...
null
null
null
null
null
null
null
null
null
null
null
null
null
Vitorbr2009/Afanaubeto
Vitorbr2009
2023-11-11T15:35:03Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:35:03Z
2023-11-11T15:33:43.000Z
2023-11-11T15:33:43
--- license: openrail ---
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null
null
null
null
null
null
null
null
null
null
null
null
null
NomeIncrivel/Ash-Fabiolucindo
NomeIncrivel
2023-11-11T15:40:16Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:40:16Z
2023-11-11T15:36:24.000Z
2023-11-11T15:36:24
--- license: openrail ---
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null
null
null
null
null
null
null
null
null
null
null
null
null
NomeIncrivel/Fujin
NomeIncrivel
2023-11-11T15:41:42Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:41:42Z
2023-11-11T15:41:10.000Z
2023-11-11T15:41:10
--- license: openrail ---
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null
null
null
null
null
null
null
null
null
null
null
null
null
NomeIncrivel/Banana-Joe
NomeIncrivel
2023-11-11T15:42:41Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:42:41Z
2023-11-11T15:42:06.000Z
2023-11-11T15:42:06
--- license: openrail ---
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null
null
null
null
null
null
null
null
null
null
null
null
null
NomeIncrivel/Billy
NomeIncrivel
2023-11-11T15:43:46Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:43:46Z
2023-11-11T15:43:15.000Z
2023-11-11T15:43:15
--- license: openrail ---
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null
null
null
null
null
null
null
null
null
null
null
null
null
NomeIncrivel/narrador-anime-cartoonnetwork
NomeIncrivel
2023-11-11T15:44:51Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:44:51Z
2023-11-11T15:44:20.000Z
2023-11-11T15:44:20
--- license: openrail ---
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null
null
null
null
null
null
null
null
null
null
null
null
null
leharris3/basketball-shot-test-dataset
leharris3
2023-11-11T15:46:24Z
0
0
null
[ "license:mit", "region:us" ]
2023-11-11T15:46:24Z
2023-11-11T15:44:25.000Z
2023-11-11T15:44:25
--- license: mit ---
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null
null
null
null
null
null
null
null
null
null
null
null
null
NomeIncrivel/Spok
NomeIncrivel
2023-11-11T15:49:02Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:49:02Z
2023-11-11T15:48:29.000Z
2023-11-11T15:48:29
--- license: openrail ---
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null
null
null
null
null
null
null
null
null
null
null
null
null
NomeIncrivel/Gumball
NomeIncrivel
2023-11-11T15:51:13Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:51:13Z
2023-11-11T15:50:42.000Z
2023-11-11T15:50:42
--- license: openrail ---
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null
null
null
null
null
null
null
null
null
null
null
null
null
NomeIncrivel/Primo
NomeIncrivel
2023-11-11T15:52:36Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:52:36Z
2023-11-11T15:51:55.000Z
2023-11-11T15:51:55
--- license: openrail ---
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null
null
null
null
null
null
null
null
null
null
null
null
null
NomeIncrivel/Burro
NomeIncrivel
2023-11-11T15:53:22Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T15:53:22Z
2023-11-11T15:52:51.000Z
2023-11-11T15:52:51
--- license: openrail ---
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null
null
null
null
null
null
null
null
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tanvirsrbd1/nov1_without_position
tanvirsrbd1
2023-11-11T16:10:12Z
0
0
null
[ "region:us" ]
2023-11-11T16:10:12Z
2023-11-11T16:10:06.000Z
2023-11-11T16:10:06
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: html dtype: string - name: response dtype: string splits: - name: train num_bytes: 1568423 num_examples: 3107 download_size: 509819 dataset_size: 1568423 --- # Dataset Card for "nov1_without_position" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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null
null
null
null
null
null
null
null
null
null
null
null
null
tanvirsrbd1/expected_dataset_nov1
tanvirsrbd1
2023-11-11T16:15:54Z
0
0
null
[ "region:us" ]
2023-11-11T16:15:54Z
2023-11-11T16:15:48.000Z
2023-11-11T16:15:48
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: html dtype: string - name: response dtype: string splits: - name: train num_bytes: 1568423 num_examples: 3107 download_size: 509819 dataset_size: 1568423 --- # Dataset Card for "expected_dataset_nov1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.6146662831306458, -0.21850571036338806, 0.22706881165504456, 0.280309796333313, -0.5040239095687866, -0.3132164478302002, 0.3827647566795349, -0.13835293054580688, 0.9526997208595276, 0.41781818866729736, -0.9634671211242676, -0.7684797048568726, -0.7660484313964844, -0.1510221213102340...
null
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detakarang/sql-create-context-id
detakarang
2023-11-18T05:40:11Z
0
0
null
[ "task_categories:text-generation", "task_categories:question-answering", "task_categories:table-question-answering", "size_categories:10K<n<100K", "language:id", "license:cc-by-4.0", "SQL", "code", "NLP", "text-to-sql", "context-sql", "spider", "wikisql", "sqlglot", "region:us" ]
2023-11-18T05:40:11Z
2023-11-11T16:22:56.000Z
2023-11-11T16:22:56
--- license: cc-by-4.0 task_categories: - text-generation - question-answering - table-question-answering language: - id tags: - SQL - code - NLP - text-to-sql - context-sql - spider - wikisql - sqlglot pretty_name: sql-create-context-id size_categories: - 10K<n<100K --- #### Overview This dataset is a fork from [sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context) <br> This dataset builds from [WikiSQL](https://huggingface.co/datasets/wikisql) and [Spider](https://huggingface.co/datasets/spider). There are 78,577 examples of natural language queries, SQL CREATE TABLE statements, and SQL Query answering the question using the CREATE statement as context. This dataset was built with text-to-sql LLMs in mind, intending to prevent hallucination of column and table names often seen when trained on text-to-sql datasets. The CREATE TABLE statement can often be copy and pasted from different DBMS and provides table names, column names and their data types. By providing just the CREATE TABLE statement as context, we can hopefully provide better grounding for models without having to provide actual rows of data, limiting token usage and exposure to private, sensitive, or proprietary data. #### Cleansing and Augmentation Cleansing and data augmentation has been done on the combined WikiSQL and Spider data. I used [SQLGlot](https://github.com/tobymao/sqlglot) on queries from Spider and WikiSQL and parsed them into different tables and columns, I then inferred column data types based on usage of `>` `<` operators as well as the use of `MIN()` `MAX()` `AVG()` `SUM()` on columns. While this isn't perfect, it increases the likelihood of inferring the correct datatype for a column, the columns otherwise default to VARCHAR type. These tables and columns are then used to generate CREATE TABLE statements using the inferred types. SQLGlot is used again to ensure both the SQL queries and CREATE TABLE statements parse without errors. Some queries that do not have column names, e.g. SELECT * FROM table, have a default Id column added to the CREATE TABLE statement. Some other queries which use the generic `table` as the FROM table have instead been changed to a variation of `table_name_1` or some other number which is also reflected in the CREATE TABLE statement. #### TODO - Further augment the data by converting queries and CREATE TABLE statements into different SQL dialects, this can be done with SQLGlot. Reference to the dialect might also be added to the question. - Support other informative contexts beyond CREATE TABLE - Better parse datatypes to clean up things like numbers for column names and other numbers as strings If you have any edits you'd like to see in a version 2 of this dataset, let me know. Random sample: ```json { "question": "Berapa banyak kepala departemen yang lebih tua dari 56 tahun?", "context": "CREATE TABLE head (age INTEGER)", "answer": "SELECT COUNT(*) FROM head WHERE age > 56" }, { "question": "Sebutkan nama, lahir negara bagian mana dan usia kepala departemen yang dipesan berdasarkan usia.", "context": "CREATE TABLE head (name VARCHAR, born_state VARCHAR, age VARCHAR)", "answer": "SELECT name, born_state, age FROM head ORDER BY age" }, ```
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matheushmart/MusicBox
matheushmart
2023-11-11T16:29:27Z
0
0
null
[ "region:us" ]
2023-11-11T16:29:27Z
2023-11-11T16:28:53.000Z
2023-11-11T16:28:53
Entry not found
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atom-in-the-universe/bild-deduped-2
atom-in-the-universe
2023-11-27T14:30:55Z
0
0
null
[ "region:us" ]
2023-11-27T14:30:55Z
2023-11-11T16:30:02.000Z
2023-11-11T16:30:02
Entry not found
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atom-in-the-universe/bild-deduped-0
atom-in-the-universe
2023-11-23T18:36:32Z
0
0
null
[ "region:us" ]
2023-11-23T18:36:32Z
2023-11-11T16:30:02.000Z
2023-11-11T16:30:02
Entry not found
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atom-in-the-universe/bild-deduped-1
atom-in-the-universe
2023-11-26T19:47:03Z
0
0
null
[ "region:us" ]
2023-11-26T19:47:03Z
2023-11-11T16:30:02.000Z
2023-11-11T16:30:02
Entry not found
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derrickmbarani/mozilla_hackathon
derrickmbarani
2023-11-11T16:52:04Z
0
0
null
[ "license:mit", "region:us" ]
2023-11-11T16:52:04Z
2023-11-11T16:52:04.000Z
2023-11-11T16:52:04
--- license: mit ---
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BangumiBase/imaizuminchiwadouyaragalnotamaribaninatterurashii
BangumiBase
2023-11-12T05:37:44Z
0
0
null
[ "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
2023-11-12T05:37:44Z
2023-11-11T16:55:17.000Z
2023-11-11T16:55:17
--- license: mit tags: - art - not-for-all-audiences size_categories: - n<1K --- # Bangumi Image Base of Imaizumin Chi Wa Douyara Gal No Tamariba Ni Natteru Rashii This is the image base of bangumi Imaizumin Chi wa Douyara Gal no Tamariba ni Natteru Rashii, we detected 6 characters, 145 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 | 21 | [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 | 10 | [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 | 17 | [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 | 37 | [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 | 25 | [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) | | noise | 35 | [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) |
[ -0.8116350769996643, -0.314459890127182, 0.14731355011463165, 0.44643425941467285, -0.35496243834495544, -0.06944116950035095, 0.06790167093276978, -0.4786304831504822, 0.49743616580963135, 0.6169781684875488, -1.0309888124465942, -0.8157803416252136, -0.7065395712852478, 0.497276484966278...
null
null
null
null
null
null
null
null
null
null
null
null
null
BangumiBase/mankitsuhappening
BangumiBase
2023-11-12T05:37:23Z
0
0
null
[ "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
2023-11-12T05:37:23Z
2023-11-11T16:56:03.000Z
2023-11-11T16:56:03
--- license: mit tags: - art - not-for-all-audiences size_categories: - n<1K --- # Bangumi Image Base of Mankitsu Happening This is the image base of bangumi Mankitsu Happening, we detected 7 characters, 475 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 | 70 | [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 | 58 | [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 | 17 | [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 | 103 | [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 | 88 | [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 | 106 | [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) | | noise | 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) |
[ -0.7573673725128174, -0.2058381736278534, 0.19523371756076813, 0.40582746267318726, -0.33710992336273193, -0.05588048696517944, 0.15172401070594788, -0.48414844274520874, 0.4957641661167145, 0.6064426302909851, -1.054275631904602, -0.8164307475090027, -0.7080425024032593, 0.384185761213302...
null
null
null
null
null
null
null
null
null
null
null
null
null
seonglae/wikipedia_token
seonglae
2023-11-12T02:42:37Z
0
0
null
[ "region:us" ]
2023-11-12T02:42:37Z
2023-11-11T17:11:05.000Z
2023-11-11T17:11:05
--- dataset_info: config_name: gpt-4 features: - name: id dtype: string - name: title dtype: string - name: text dtype: string - name: token_length dtype: int64 - name: text_length dtype: int64 splits: - name: train num_bytes: 19998333901 num_examples: 6458670 download_size: 11604627673 dataset_size: 19998333901 configs: - config_name: gpt-4 data_files: - split: train path: gpt-4/train-* --- # Dataset Card for "wikipedia_token" ```ts Token count { '~1024': 5320881, '1024~2048': 693911, '2048~4096': 300935, '4096~8192': 106221, '8192~16384': 30611, '16384~32768': 4812, '32768~65536': 1253, '65536~128000': 46, '128000~': 0 } Text count { '0~1024': 2751539, '1024~2048': 1310778, '2048~4096': 1179150, '4096~8192': 722101, '8192~16384': 329062, '16384~32768': 121237, '32768~65536': 36894, '65536~': 7909 } Token percent { '~1024': '82.38%', '1024~2048': '10.74%', '2048~4096': '4.66%', '4096~8192': '1.64%', '8192~16384': '0.47%', '16384~32768': '0.07%', '32768~65536': '0.02%', '65536~128000': '0.00%', '128000~': '0.00%' } Text percent { '0~1024': '42.60%', '1024~2048': '20.29%', '2048~4096': '18.26%', '4096~8192': '11.18%', '8192~16384': '5.09%', '16384~32768': '1.88%', '32768~65536': '0.57%', '65536~': '0.12%' } ```
[ -0.41343700885772705, -0.4329761862754822, 0.04755975306034088, -0.004820505157113075, -0.6530136466026306, 0.00950081367045641, -0.16530315577983856, 0.27048540115356445, 0.6959664225578308, 0.30828580260276794, -0.809922456741333, -1.333448886871338, -0.8912175297737122, 0.19736525416374...
null
null
null
null
null
null
null
null
null
null
null
null
null
Davyzaumm/sara
Davyzaumm
2023-11-11T17:39:10Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T17:39:10Z
2023-11-11T17:38:14.000Z
2023-11-11T17:38:14
--- license: openrail ---
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
null
null
null
null
null
null
null
null
null
null
null
null
null
idleheroevich2/Mordekaiser
idleheroevich2
2023-11-11T18:12:24Z
0
0
null
[ "license:unknown", "region:us" ]
2023-11-11T18:12:24Z
2023-11-11T17:57:29.000Z
2023-11-11T17:57:29
--- license: unknown ---
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
null
null
null
null
null
null
null
null
null
null
null
null
null
taennil/Jirapon
taennil
2023-11-11T18:33:00Z
0
0
null
[ "region:us" ]
2023-11-11T18:33:00Z
2023-11-11T18:29:59.000Z
2023-11-11T18:29:59
Entry not found
[ -0.3227647542953491, -0.22568407654762268, 0.8622258901596069, 0.4346148371696472, -0.5282984972000122, 0.7012965083122253, 0.7915717959403992, 0.07618629932403564, 0.7746022343635559, 0.2563222348690033, -0.785281777381897, -0.22573848068714142, -0.9104482531547546, 0.5715669393539429, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
nikchar/paper_test_set
nikchar
2023-11-11T18:47:10Z
0
0
null
[ "region:us" ]
2023-11-11T18:47:10Z
2023-11-11T18:47:08.000Z
2023-11-11T18:47:08
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: label dtype: string - name: claim dtype: string - name: evidence_wiki_url dtype: string - name: text dtype: string splits: - name: train num_bytes: 15920562 num_examples: 11073 download_size: 6320618 dataset_size: 15920562 --- # Dataset Card for "paper_test_set" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.5687390565872192, -0.37130337953567505, 0.10805867612361908, 0.1299532949924469, -0.12309139966964722, -0.0034445850178599358, 0.21424369513988495, 0.011239657178521156, 0.7763845920562744, 0.378657728433609, -0.6556196808815002, -0.6235228776931763, -0.5800383687019348, -0.275412648916...
null
null
null
null
null
null
null
null
null
null
null
null
null
Gabriel1322/joao
Gabriel1322
2023-11-11T19:18:09Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T19:18:09Z
2023-11-11T19:16:34.000Z
2023-11-11T19:16:34
--- license: openrail ---
[ -0.12853369116783142, -0.18616779148578644, 0.6529126167297363, 0.49436280131340027, -0.193193256855011, 0.2360745668411255, 0.36071979999542236, 0.05056314915418625, 0.5793651342391968, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.7102248668670654, -0.04782580211758613...
null
null
null
null
null
null
null
null
null
null
null
null
null
Hardel-DW/Pixel-ai
Hardel-DW
2023-11-11T19:29:47Z
0
0
null
[ "task_categories:token-classification", "task_categories:summarization", "task_categories:image-classification", "size_categories:1K<n<10K", "language:en", "art", "game", "pixelart", "minecraft", "region:us" ]
2023-11-11T19:29:47Z
2023-11-11T19:23:32.000Z
2023-11-11T19:23:32
--- task_categories: - token-classification - summarization - image-classification language: - en tags: - art - game - pixelart - minecraft pretty_name: Minecraft Dataset size_categories: - 1K<n<10K ---
[ -0.12853369116783142, -0.18616779148578644, 0.6529126167297363, 0.49436280131340027, -0.193193256855011, 0.2360745668411255, 0.36071979999542236, 0.05056314915418625, 0.5793651342391968, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.7102248668670654, -0.04782580211758613...
null
null
null
null
null
null
null
null
null
null
null
null
null
Vidharv/HighCourt
Vidharv
2023-11-11T19:37:52Z
0
1
null
[ "license:mit", "region:us" ]
2023-11-11T19:37:52Z
2023-11-11T19:29:14.000Z
2023-11-11T19:29:14
--- license: mit ---
[ -0.12853369116783142, -0.18616779148578644, 0.6529126167297363, 0.49436280131340027, -0.193193256855011, 0.2360745668411255, 0.36071979999542236, 0.05056314915418625, 0.5793651342391968, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.7102248668670654, -0.04782580211758613...
null
null
null
null
null
null
null
null
null
null
null
null
null
huanTn/camxuc
huanTn
2023-11-11T20:07:19Z
0
0
null
[ "license:apache-2.0", "region:us" ]
2023-11-11T20:07:19Z
2023-11-11T20:05:46.000Z
2023-11-11T20:05:46
--- license: apache-2.0 ---
[ -0.12853369116783142, -0.18616779148578644, 0.6529126167297363, 0.49436280131340027, -0.193193256855011, 0.2360745668411255, 0.36071979999542236, 0.05056314915418625, 0.5793651342391968, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.7102248668670654, -0.04782580211758613...
null
null
null
null
null
null
null
null
null
null
null
null
null
sivanagendra/usd-qanda
sivanagendra
2023-11-12T20:09:44Z
0
0
null
[ "license:mit", "region:us" ]
2023-11-12T20:09:44Z
2023-11-11T20:06:36.000Z
2023-11-11T20:06:36
--- license: mit ---
[ -0.12853367626667023, -0.18616794049739838, 0.6529126763343811, 0.4943627417087555, -0.19319313764572144, 0.23607443273067474, 0.36071979999542236, 0.05056338757276535, 0.5793654322624207, 0.7400138974189758, -0.6508103013038635, -0.23783987760543823, -0.710224986076355, -0.047825977206230...
null
null
null
null
null
null
null
null
null
null
null
null
null
auguedes/teste_seguros
auguedes
2023-11-11T21:04:19Z
0
0
null
[ "region:us" ]
2023-11-11T21:04:19Z
2023-11-11T21:03:21.000Z
2023-11-11T21:03:21
Entry not found
[ -0.3227649927139282, -0.225684255361557, 0.862226128578186, 0.43461498618125916, -0.5282987952232361, 0.7012963891029358, 0.7915717363357544, 0.07618629932403564, 0.7746025919914246, 0.2563219666481018, -0.7852816581726074, -0.2257382869720459, -0.9104480743408203, 0.5715669393539429, -0...
null
null
null
null
null
null
null
null
null
null
null
null
null
RAND-Corporation/Wallace_LitReview
RAND-Corporation
2023-11-11T21:18:37Z
0
0
null
[ "region:us" ]
2023-11-11T21:18:37Z
2023-11-11T21:16:50.000Z
2023-11-11T21:16:50
Entry not found
[ -0.3227649927139282, -0.225684255361557, 0.862226128578186, 0.43461498618125916, -0.5282987952232361, 0.7012963891029358, 0.7915717363357544, 0.07618629932403564, 0.7746025919914246, 0.2563219666481018, -0.7852816581726074, -0.2257382869720459, -0.9104480743408203, 0.5715669393539429, -0...
null
null
null
null
null
null
null
null
null
null
null
null
null
Taylor658/7btrain
Taylor658
2023-11-11T21:23:47Z
0
0
null
[ "license:apache-2.0", "region:us" ]
2023-11-11T21:23:47Z
2023-11-11T21:23:04.000Z
2023-11-11T21:23:04
--- license: apache-2.0 ---
[ -0.12853367626667023, -0.18616794049739838, 0.6529126763343811, 0.4943627417087555, -0.19319313764572144, 0.23607443273067474, 0.36071979999542236, 0.05056338757276535, 0.5793654322624207, 0.7400138974189758, -0.6508103013038635, -0.23783987760543823, -0.710224986076355, -0.047825977206230...
null
null
null
null
null
null
null
null
null
null
null
null
null
AlphaBetaGamaDelta/models
AlphaBetaGamaDelta
2023-11-11T21:25:14Z
0
0
null
[ "region:us" ]
2023-11-11T21:25:14Z
2023-11-11T21:23:42.000Z
2023-11-11T21:23:42
Entry not found
[ -0.3227649927139282, -0.225684255361557, 0.862226128578186, 0.43461498618125916, -0.5282987952232361, 0.7012963891029358, 0.7915717363357544, 0.07618629932403564, 0.7746025919914246, 0.2563219666481018, -0.7852816581726074, -0.2257382869720459, -0.9104480743408203, 0.5715669393539429, -0...
null
null
null
null
null
null
null
null
null
null
null
null
null
Hucas/Allan
Hucas
2023-11-11T21:30:57Z
0
0
null
[ "region:us" ]
2023-11-11T21:30:57Z
2023-11-11T21:30:57.000Z
2023-11-11T21:30:57
Entry not found
[ -0.3227649927139282, -0.225684255361557, 0.862226128578186, 0.43461498618125916, -0.5282987952232361, 0.7012963891029358, 0.7915717363357544, 0.07618629932403564, 0.7746025919914246, 0.2563219666481018, -0.7852816581726074, -0.2257382869720459, -0.9104480743408203, 0.5715669393539429, -0...
null
null
null
null
null
null
null
null
null
null
null
null
null
Hucas/allan_historia
Hucas
2023-11-13T21:32:31Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-13T21:32:31Z
2023-11-11T21:31:58.000Z
2023-11-11T21:31:58
--- license: openrail ---
[ -0.12853367626667023, -0.18616794049739838, 0.6529126763343811, 0.4943627417087555, -0.19319313764572144, 0.23607443273067474, 0.36071979999542236, 0.05056338757276535, 0.5793654322624207, 0.7400138974189758, -0.6508103013038635, -0.23783987760543823, -0.710224986076355, -0.047825977206230...
null
null
null
null
null
null
null
null
null
null
null
null
null
Alexbofa/PPS-Notebooks
Alexbofa
2023-11-26T16:03:47Z
0
0
null
[ "region:us" ]
2023-11-26T16:03:47Z
2023-11-11T22:09:23.000Z
2023-11-11T22:09:23
Entry not found
[ -0.3227649927139282, -0.225684255361557, 0.862226128578186, 0.43461498618125916, -0.5282987952232361, 0.7012963891029358, 0.7915717363357544, 0.07618629932403564, 0.7746025919914246, 0.2563219666481018, -0.7852816581726074, -0.2257382869720459, -0.9104480743408203, 0.5715669393539429, -0...
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wagnergrangeiro/edlima
wagnergrangeiro
2023-11-11T22:10:59Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-11T22:10:59Z
2023-11-11T22:09:27.000Z
2023-11-11T22:09:27
--- license: openrail ---
[ -0.1285335123538971, -0.1861683875322342, 0.6529128551483154, 0.49436232447624207, -0.19319400191307068, 0.23607441782951355, 0.36072009801864624, 0.05056373029947281, 0.5793656706809998, 0.7400146722793579, -0.650810182094574, -0.23784008622169495, -0.7102247476577759, -0.0478255338966846...
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null
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null
Zerenidel/Nannie_Aisnobel_Nov
Zerenidel
2023-11-11T22:45:28Z
0
0
null
[ "region:us" ]
2023-11-11T22:45:28Z
2023-11-11T22:42:42.000Z
2023-11-11T22:42:42
Entry not found
[ -0.3227645754814148, -0.22568479180335999, 0.8622263669967651, 0.43461522459983826, -0.52829909324646, 0.7012971639633179, 0.7915719747543335, 0.07618614286184311, 0.774603009223938, 0.2563217282295227, -0.7852813005447388, -0.22573819756507874, -0.9104475975036621, 0.5715674161911011, -...
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BangumiBase/yugioh
BangumiBase
2023-11-12T03:43:04Z
0
0
null
[ "size_categories:10K<n<100K", "license:mit", "art", "region:us" ]
2023-11-12T03:43:04Z
2023-11-11T22:43:28.000Z
2023-11-11T22:43:28
--- license: mit tags: - art size_categories: - 10K<n<100K --- # Bangumi Image Base of Yu-gi-oh! This is the image base of bangumi Yu-Gi-Oh!, we detected 90 characters, 17815 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 | 4726 | [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 | 40 | [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 | 265 | [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 | 597 | [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 | 101 | [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 | 549 | [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 | 143 | [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 | 363 | [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 | 47 | [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 | 44 | [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 | 2134 | [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 | 2013 | [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 | 17 | [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 | 47 | [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 | 26 | [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 | 326 | [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 | 494 | [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 | 20 | [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 | 46 | [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 | 144 | [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 | 97 | [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 | 967 | [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 | 90 | [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 | 150 | [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 | 171 | [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 | 105 | [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 | 26 | [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) | ![preview 7](26/preview_7.png) | ![preview 8](26/preview_8.png) | | 27 | 34 | [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) | ![preview 7](27/preview_7.png) | ![preview 8](27/preview_8.png) | | 28 | 42 | [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 | 40 | [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 | 78 | [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 | 12 | [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 | 21 | [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 | 118 | [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) | | 34 | 14 | [Download](34/dataset.zip) | ![preview 1](34/preview_1.png) | ![preview 2](34/preview_2.png) | ![preview 3](34/preview_3.png) | ![preview 4](34/preview_4.png) | ![preview 5](34/preview_5.png) | ![preview 6](34/preview_6.png) | ![preview 7](34/preview_7.png) | ![preview 8](34/preview_8.png) | | 35 | 36 | [Download](35/dataset.zip) | ![preview 1](35/preview_1.png) | ![preview 2](35/preview_2.png) | ![preview 3](35/preview_3.png) | ![preview 4](35/preview_4.png) | ![preview 5](35/preview_5.png) | ![preview 6](35/preview_6.png) | ![preview 7](35/preview_7.png) | ![preview 8](35/preview_8.png) | | 36 | 13 | [Download](36/dataset.zip) | ![preview 1](36/preview_1.png) | ![preview 2](36/preview_2.png) | ![preview 3](36/preview_3.png) | ![preview 4](36/preview_4.png) | ![preview 5](36/preview_5.png) | ![preview 6](36/preview_6.png) | ![preview 7](36/preview_7.png) | ![preview 8](36/preview_8.png) | | 37 | 144 | [Download](37/dataset.zip) | ![preview 1](37/preview_1.png) | ![preview 2](37/preview_2.png) | ![preview 3](37/preview_3.png) | ![preview 4](37/preview_4.png) | ![preview 5](37/preview_5.png) | ![preview 6](37/preview_6.png) | ![preview 7](37/preview_7.png) | ![preview 8](37/preview_8.png) | | 38 | 21 | [Download](38/dataset.zip) | ![preview 1](38/preview_1.png) | ![preview 2](38/preview_2.png) | ![preview 3](38/preview_3.png) | ![preview 4](38/preview_4.png) | ![preview 5](38/preview_5.png) | ![preview 6](38/preview_6.png) | ![preview 7](38/preview_7.png) | ![preview 8](38/preview_8.png) | | 39 | 65 | [Download](39/dataset.zip) | ![preview 1](39/preview_1.png) | ![preview 2](39/preview_2.png) | ![preview 3](39/preview_3.png) | ![preview 4](39/preview_4.png) | ![preview 5](39/preview_5.png) | ![preview 6](39/preview_6.png) | ![preview 7](39/preview_7.png) | ![preview 8](39/preview_8.png) | | 40 | 24 | [Download](40/dataset.zip) | ![preview 1](40/preview_1.png) | ![preview 2](40/preview_2.png) | ![preview 3](40/preview_3.png) | ![preview 4](40/preview_4.png) | ![preview 5](40/preview_5.png) | ![preview 6](40/preview_6.png) | ![preview 7](40/preview_7.png) | ![preview 8](40/preview_8.png) | | 41 | 13 | [Download](41/dataset.zip) | ![preview 1](41/preview_1.png) | ![preview 2](41/preview_2.png) | ![preview 3](41/preview_3.png) | ![preview 4](41/preview_4.png) | ![preview 5](41/preview_5.png) | ![preview 6](41/preview_6.png) | ![preview 7](41/preview_7.png) | ![preview 8](41/preview_8.png) | | 42 | 37 | [Download](42/dataset.zip) | ![preview 1](42/preview_1.png) | ![preview 2](42/preview_2.png) | ![preview 3](42/preview_3.png) | ![preview 4](42/preview_4.png) | ![preview 5](42/preview_5.png) | ![preview 6](42/preview_6.png) | ![preview 7](42/preview_7.png) | ![preview 8](42/preview_8.png) | | 43 | 889 | [Download](43/dataset.zip) | ![preview 1](43/preview_1.png) | ![preview 2](43/preview_2.png) | ![preview 3](43/preview_3.png) | ![preview 4](43/preview_4.png) | ![preview 5](43/preview_5.png) | ![preview 6](43/preview_6.png) | ![preview 7](43/preview_7.png) | ![preview 8](43/preview_8.png) | | 44 | 159 | [Download](44/dataset.zip) | ![preview 1](44/preview_1.png) | ![preview 2](44/preview_2.png) | ![preview 3](44/preview_3.png) | ![preview 4](44/preview_4.png) | ![preview 5](44/preview_5.png) | ![preview 6](44/preview_6.png) | ![preview 7](44/preview_7.png) | ![preview 8](44/preview_8.png) | | 45 | 23 | [Download](45/dataset.zip) | ![preview 1](45/preview_1.png) | ![preview 2](45/preview_2.png) | ![preview 3](45/preview_3.png) | ![preview 4](45/preview_4.png) | ![preview 5](45/preview_5.png) | ![preview 6](45/preview_6.png) | ![preview 7](45/preview_7.png) | ![preview 8](45/preview_8.png) | | 46 | 11 | [Download](46/dataset.zip) | ![preview 1](46/preview_1.png) | ![preview 2](46/preview_2.png) | ![preview 3](46/preview_3.png) | ![preview 4](46/preview_4.png) | ![preview 5](46/preview_5.png) | ![preview 6](46/preview_6.png) | ![preview 7](46/preview_7.png) | ![preview 8](46/preview_8.png) | | 47 | 10 | [Download](47/dataset.zip) | ![preview 1](47/preview_1.png) | ![preview 2](47/preview_2.png) | ![preview 3](47/preview_3.png) | ![preview 4](47/preview_4.png) | ![preview 5](47/preview_5.png) | ![preview 6](47/preview_6.png) | ![preview 7](47/preview_7.png) | ![preview 8](47/preview_8.png) | | 48 | 69 | [Download](48/dataset.zip) | ![preview 1](48/preview_1.png) | ![preview 2](48/preview_2.png) | ![preview 3](48/preview_3.png) | ![preview 4](48/preview_4.png) | ![preview 5](48/preview_5.png) | ![preview 6](48/preview_6.png) | ![preview 7](48/preview_7.png) | ![preview 8](48/preview_8.png) | | 49 | 241 | [Download](49/dataset.zip) | ![preview 1](49/preview_1.png) | ![preview 2](49/preview_2.png) | ![preview 3](49/preview_3.png) | ![preview 4](49/preview_4.png) | ![preview 5](49/preview_5.png) | ![preview 6](49/preview_6.png) | ![preview 7](49/preview_7.png) | ![preview 8](49/preview_8.png) | | 50 | 20 | [Download](50/dataset.zip) | ![preview 1](50/preview_1.png) | ![preview 2](50/preview_2.png) | ![preview 3](50/preview_3.png) | ![preview 4](50/preview_4.png) | ![preview 5](50/preview_5.png) | ![preview 6](50/preview_6.png) | ![preview 7](50/preview_7.png) | ![preview 8](50/preview_8.png) | | 51 | 156 | [Download](51/dataset.zip) | ![preview 1](51/preview_1.png) | ![preview 2](51/preview_2.png) | ![preview 3](51/preview_3.png) | ![preview 4](51/preview_4.png) | ![preview 5](51/preview_5.png) | ![preview 6](51/preview_6.png) | ![preview 7](51/preview_7.png) | ![preview 8](51/preview_8.png) | | 52 | 17 | [Download](52/dataset.zip) | ![preview 1](52/preview_1.png) | ![preview 2](52/preview_2.png) | ![preview 3](52/preview_3.png) | ![preview 4](52/preview_4.png) | ![preview 5](52/preview_5.png) | ![preview 6](52/preview_6.png) | ![preview 7](52/preview_7.png) | ![preview 8](52/preview_8.png) | | 53 | 12 | [Download](53/dataset.zip) | ![preview 1](53/preview_1.png) | ![preview 2](53/preview_2.png) | ![preview 3](53/preview_3.png) | ![preview 4](53/preview_4.png) | ![preview 5](53/preview_5.png) | ![preview 6](53/preview_6.png) | ![preview 7](53/preview_7.png) | ![preview 8](53/preview_8.png) | | 54 | 324 | [Download](54/dataset.zip) | ![preview 1](54/preview_1.png) | ![preview 2](54/preview_2.png) | ![preview 3](54/preview_3.png) | ![preview 4](54/preview_4.png) | ![preview 5](54/preview_5.png) | ![preview 6](54/preview_6.png) | ![preview 7](54/preview_7.png) | ![preview 8](54/preview_8.png) | | 55 | 175 | [Download](55/dataset.zip) | ![preview 1](55/preview_1.png) | ![preview 2](55/preview_2.png) | ![preview 3](55/preview_3.png) | ![preview 4](55/preview_4.png) | ![preview 5](55/preview_5.png) | ![preview 6](55/preview_6.png) | ![preview 7](55/preview_7.png) | ![preview 8](55/preview_8.png) | | 56 | 10 | [Download](56/dataset.zip) | ![preview 1](56/preview_1.png) | ![preview 2](56/preview_2.png) | ![preview 3](56/preview_3.png) | ![preview 4](56/preview_4.png) | ![preview 5](56/preview_5.png) | ![preview 6](56/preview_6.png) | ![preview 7](56/preview_7.png) | ![preview 8](56/preview_8.png) | | 57 | 13 | [Download](57/dataset.zip) | ![preview 1](57/preview_1.png) | ![preview 2](57/preview_2.png) | ![preview 3](57/preview_3.png) | ![preview 4](57/preview_4.png) | ![preview 5](57/preview_5.png) | ![preview 6](57/preview_6.png) | ![preview 7](57/preview_7.png) | ![preview 8](57/preview_8.png) | | 58 | 17 | [Download](58/dataset.zip) | ![preview 1](58/preview_1.png) | ![preview 2](58/preview_2.png) | ![preview 3](58/preview_3.png) | ![preview 4](58/preview_4.png) | ![preview 5](58/preview_5.png) | ![preview 6](58/preview_6.png) | ![preview 7](58/preview_7.png) | ![preview 8](58/preview_8.png) | | 59 | 14 | [Download](59/dataset.zip) | ![preview 1](59/preview_1.png) | ![preview 2](59/preview_2.png) | ![preview 3](59/preview_3.png) | ![preview 4](59/preview_4.png) | ![preview 5](59/preview_5.png) | ![preview 6](59/preview_6.png) | ![preview 7](59/preview_7.png) | ![preview 8](59/preview_8.png) | | 60 | 76 | [Download](60/dataset.zip) | ![preview 1](60/preview_1.png) | ![preview 2](60/preview_2.png) | ![preview 3](60/preview_3.png) | ![preview 4](60/preview_4.png) | ![preview 5](60/preview_5.png) | ![preview 6](60/preview_6.png) | ![preview 7](60/preview_7.png) | ![preview 8](60/preview_8.png) | | 61 | 11 | [Download](61/dataset.zip) | ![preview 1](61/preview_1.png) | ![preview 2](61/preview_2.png) | ![preview 3](61/preview_3.png) | ![preview 4](61/preview_4.png) | ![preview 5](61/preview_5.png) | ![preview 6](61/preview_6.png) | ![preview 7](61/preview_7.png) | ![preview 8](61/preview_8.png) | | 62 | 20 | [Download](62/dataset.zip) | ![preview 1](62/preview_1.png) | ![preview 2](62/preview_2.png) | ![preview 3](62/preview_3.png) | ![preview 4](62/preview_4.png) | ![preview 5](62/preview_5.png) | ![preview 6](62/preview_6.png) | ![preview 7](62/preview_7.png) | ![preview 8](62/preview_8.png) | | 63 | 9 | [Download](63/dataset.zip) | ![preview 1](63/preview_1.png) | ![preview 2](63/preview_2.png) | ![preview 3](63/preview_3.png) | ![preview 4](63/preview_4.png) | ![preview 5](63/preview_5.png) | ![preview 6](63/preview_6.png) | ![preview 7](63/preview_7.png) | ![preview 8](63/preview_8.png) | | 64 | 27 | [Download](64/dataset.zip) | ![preview 1](64/preview_1.png) | ![preview 2](64/preview_2.png) | ![preview 3](64/preview_3.png) | ![preview 4](64/preview_4.png) | ![preview 5](64/preview_5.png) | ![preview 6](64/preview_6.png) | ![preview 7](64/preview_7.png) | ![preview 8](64/preview_8.png) | | 65 | 55 | [Download](65/dataset.zip) | ![preview 1](65/preview_1.png) | ![preview 2](65/preview_2.png) | ![preview 3](65/preview_3.png) | ![preview 4](65/preview_4.png) | ![preview 5](65/preview_5.png) | ![preview 6](65/preview_6.png) | ![preview 7](65/preview_7.png) | ![preview 8](65/preview_8.png) | | 66 | 111 | [Download](66/dataset.zip) | ![preview 1](66/preview_1.png) | ![preview 2](66/preview_2.png) | ![preview 3](66/preview_3.png) | ![preview 4](66/preview_4.png) | ![preview 5](66/preview_5.png) | ![preview 6](66/preview_6.png) | ![preview 7](66/preview_7.png) | ![preview 8](66/preview_8.png) | | 67 | 18 | [Download](67/dataset.zip) | ![preview 1](67/preview_1.png) | ![preview 2](67/preview_2.png) | ![preview 3](67/preview_3.png) | ![preview 4](67/preview_4.png) | ![preview 5](67/preview_5.png) | ![preview 6](67/preview_6.png) | ![preview 7](67/preview_7.png) | ![preview 8](67/preview_8.png) | | 68 | 14 | [Download](68/dataset.zip) | ![preview 1](68/preview_1.png) | ![preview 2](68/preview_2.png) | ![preview 3](68/preview_3.png) | ![preview 4](68/preview_4.png) | ![preview 5](68/preview_5.png) | ![preview 6](68/preview_6.png) | ![preview 7](68/preview_7.png) | ![preview 8](68/preview_8.png) | | 69 | 6 | [Download](69/dataset.zip) | ![preview 1](69/preview_1.png) | ![preview 2](69/preview_2.png) | ![preview 3](69/preview_3.png) | ![preview 4](69/preview_4.png) | ![preview 5](69/preview_5.png) | ![preview 6](69/preview_6.png) | N/A | N/A | | 70 | 11 | [Download](70/dataset.zip) | ![preview 1](70/preview_1.png) | ![preview 2](70/preview_2.png) | ![preview 3](70/preview_3.png) | ![preview 4](70/preview_4.png) | ![preview 5](70/preview_5.png) | ![preview 6](70/preview_6.png) | ![preview 7](70/preview_7.png) | ![preview 8](70/preview_8.png) | | 71 | 108 | [Download](71/dataset.zip) | ![preview 1](71/preview_1.png) | ![preview 2](71/preview_2.png) | ![preview 3](71/preview_3.png) | ![preview 4](71/preview_4.png) | ![preview 5](71/preview_5.png) | ![preview 6](71/preview_6.png) | ![preview 7](71/preview_7.png) | ![preview 8](71/preview_8.png) | | 72 | 23 | [Download](72/dataset.zip) | ![preview 1](72/preview_1.png) | ![preview 2](72/preview_2.png) | ![preview 3](72/preview_3.png) | ![preview 4](72/preview_4.png) | ![preview 5](72/preview_5.png) | ![preview 6](72/preview_6.png) | ![preview 7](72/preview_7.png) | ![preview 8](72/preview_8.png) | | 73 | 10 | [Download](73/dataset.zip) | ![preview 1](73/preview_1.png) | ![preview 2](73/preview_2.png) | ![preview 3](73/preview_3.png) | ![preview 4](73/preview_4.png) | ![preview 5](73/preview_5.png) | ![preview 6](73/preview_6.png) | ![preview 7](73/preview_7.png) | ![preview 8](73/preview_8.png) | | 74 | 214 | [Download](74/dataset.zip) | ![preview 1](74/preview_1.png) | ![preview 2](74/preview_2.png) | ![preview 3](74/preview_3.png) | ![preview 4](74/preview_4.png) | ![preview 5](74/preview_5.png) | ![preview 6](74/preview_6.png) | ![preview 7](74/preview_7.png) | ![preview 8](74/preview_8.png) | | 75 | 30 | [Download](75/dataset.zip) | ![preview 1](75/preview_1.png) | ![preview 2](75/preview_2.png) | ![preview 3](75/preview_3.png) | ![preview 4](75/preview_4.png) | ![preview 5](75/preview_5.png) | ![preview 6](75/preview_6.png) | ![preview 7](75/preview_7.png) | ![preview 8](75/preview_8.png) | | 76 | 14 | [Download](76/dataset.zip) | ![preview 1](76/preview_1.png) | ![preview 2](76/preview_2.png) | ![preview 3](76/preview_3.png) | ![preview 4](76/preview_4.png) | ![preview 5](76/preview_5.png) | ![preview 6](76/preview_6.png) | ![preview 7](76/preview_7.png) | ![preview 8](76/preview_8.png) | | 77 | 6 | [Download](77/dataset.zip) | ![preview 1](77/preview_1.png) | ![preview 2](77/preview_2.png) | ![preview 3](77/preview_3.png) | ![preview 4](77/preview_4.png) | ![preview 5](77/preview_5.png) | ![preview 6](77/preview_6.png) | N/A | N/A | | 78 | 8 | [Download](78/dataset.zip) | ![preview 1](78/preview_1.png) | ![preview 2](78/preview_2.png) | ![preview 3](78/preview_3.png) | ![preview 4](78/preview_4.png) | ![preview 5](78/preview_5.png) | ![preview 6](78/preview_6.png) | ![preview 7](78/preview_7.png) | ![preview 8](78/preview_8.png) | | 79 | 10 | [Download](79/dataset.zip) | ![preview 1](79/preview_1.png) | ![preview 2](79/preview_2.png) | ![preview 3](79/preview_3.png) | ![preview 4](79/preview_4.png) | ![preview 5](79/preview_5.png) | ![preview 6](79/preview_6.png) | ![preview 7](79/preview_7.png) | ![preview 8](79/preview_8.png) | | 80 | 11 | [Download](80/dataset.zip) | ![preview 1](80/preview_1.png) | ![preview 2](80/preview_2.png) | ![preview 3](80/preview_3.png) | ![preview 4](80/preview_4.png) | ![preview 5](80/preview_5.png) | ![preview 6](80/preview_6.png) | ![preview 7](80/preview_7.png) | ![preview 8](80/preview_8.png) | | 81 | 130 | [Download](81/dataset.zip) | ![preview 1](81/preview_1.png) | ![preview 2](81/preview_2.png) | ![preview 3](81/preview_3.png) | ![preview 4](81/preview_4.png) | ![preview 5](81/preview_5.png) | ![preview 6](81/preview_6.png) | ![preview 7](81/preview_7.png) | ![preview 8](81/preview_8.png) | | 82 | 14 | [Download](82/dataset.zip) | ![preview 1](82/preview_1.png) | ![preview 2](82/preview_2.png) | ![preview 3](82/preview_3.png) | ![preview 4](82/preview_4.png) | ![preview 5](82/preview_5.png) | ![preview 6](82/preview_6.png) | ![preview 7](82/preview_7.png) | ![preview 8](82/preview_8.png) | | 83 | 10 | [Download](83/dataset.zip) | ![preview 1](83/preview_1.png) | ![preview 2](83/preview_2.png) | ![preview 3](83/preview_3.png) | ![preview 4](83/preview_4.png) | ![preview 5](83/preview_5.png) | ![preview 6](83/preview_6.png) | ![preview 7](83/preview_7.png) | ![preview 8](83/preview_8.png) | | 84 | 70 | [Download](84/dataset.zip) | ![preview 1](84/preview_1.png) | ![preview 2](84/preview_2.png) | ![preview 3](84/preview_3.png) | ![preview 4](84/preview_4.png) | ![preview 5](84/preview_5.png) | ![preview 6](84/preview_6.png) | ![preview 7](84/preview_7.png) | ![preview 8](84/preview_8.png) | | 85 | 7 | [Download](85/dataset.zip) | ![preview 1](85/preview_1.png) | ![preview 2](85/preview_2.png) | ![preview 3](85/preview_3.png) | ![preview 4](85/preview_4.png) | ![preview 5](85/preview_5.png) | ![preview 6](85/preview_6.png) | ![preview 7](85/preview_7.png) | N/A | | 86 | 8 | [Download](86/dataset.zip) | ![preview 1](86/preview_1.png) | ![preview 2](86/preview_2.png) | ![preview 3](86/preview_3.png) | ![preview 4](86/preview_4.png) | ![preview 5](86/preview_5.png) | ![preview 6](86/preview_6.png) | ![preview 7](86/preview_7.png) | ![preview 8](86/preview_8.png) | | 87 | 6 | [Download](87/dataset.zip) | ![preview 1](87/preview_1.png) | ![preview 2](87/preview_2.png) | ![preview 3](87/preview_3.png) | ![preview 4](87/preview_4.png) | ![preview 5](87/preview_5.png) | ![preview 6](87/preview_6.png) | N/A | N/A | | 88 | 6 | [Download](88/dataset.zip) | ![preview 1](88/preview_1.png) | ![preview 2](88/preview_2.png) | ![preview 3](88/preview_3.png) | ![preview 4](88/preview_4.png) | ![preview 5](88/preview_5.png) | ![preview 6](88/preview_6.png) | N/A | N/A | | noise | 152 | [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) |
[ -0.6981713771820068, -0.1879730373620987, 0.16670392453670502, 0.1573827862739563, -0.2707415223121643, -0.11363136768341064, -0.011159172281622887, -0.35961660742759705, 0.6849061846733093, 0.5070766806602478, -0.9206852912902832, -0.8570385575294495, -0.6664474606513977, 0.48930767178535...
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null
efederici/alpaca_vs_alpaca
efederici
2023-11-12T01:38:51Z
0
0
null
[ "task_categories:conversational", "size_categories:10K<n<100K", "language:en", "dpo", "rlhf", "region:us" ]
2023-11-12T01:38:51Z
2023-11-11T23:04:26.000Z
2023-11-11T23:04:26
--- language: - en size_categories: - 10K<n<100K task_categories: - conversational pretty_name: alpaca_vs_alpaca dataset_info: features: - name: prompt dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 64319355 num_examples: 49194 download_size: 36898348 dataset_size: 64319355 configs: - config_name: default data_files: - split: train path: data/train-* tags: - dpo - rlhf --- # Alpaca vs. Alpaca <img src="./alpacavsalpaca.jpeg" style="display: block; margin-left: auto; margin-right: auto; width: 30%;"> ## Dataset Description The Alpaca vs. Alpaca dataset is a curated blend of the [Alpaca dataset](https://huggingface.co/datasets/tatsu-lab/alpaca) and the [Alpaca GPT-4 dataset](https://huggingface.co/datasets/vicgalle/alpaca-gpt4), both available on HuggingFace Datasets. It uses the standard GPT dataset as the 'rejected' answer, steering the model towards the GPT-4 answer, which is considered as the 'chosen' one. However, it's important to note that the 'correctness' here is not absolute. The premise is based on the assumption that GPT-4 answers are generally superior in terms of coherence, grammar, and style, and therefore, would be preferred in a human evaluation context. This might not always be the case. The dataset has been filtered to exclude rows referencing GPT-4, rows with identical outputs from both models, and instances where GPT-4 declined to respond (some of them). The dataset is primarily designed for conversational tasks, to train reward models or apply techniques like DPO. ### Citation Information If you use this dataset in your work, please cite the original Alpaca dataset: ``` @misc{alpaca, author = {Rohan Taori and Ishaan Gulrajani and Tianyi Zhang and Yann Dubois and Xuechen Li and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto }, title = {Stanford Alpaca: An Instruction-following LLaMA model}, year = {2023}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/tatsu-lab/stanford_alpaca}}, } ```
[ -0.4521266222000122, -0.7366247773170471, 0.5669018030166626, 0.2820265591144562, -0.4130057394504547, -0.03967919573187828, -0.03882310166954994, -0.6986774206161499, 0.37168601155281067, 0.11135043948888779, -0.6675506234169006, -0.3690119683742523, -0.7993048429489136, 0.299323201179504...
null
null
null
null
null
null
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null
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null
null
null
null
Meru32/heitor
Meru32
2023-11-11T23:34:33Z
0
0
null
[ "region:us" ]
2023-11-11T23:34:33Z
2023-11-11T23:13:55.000Z
2023-11-11T23:13:55
Entry not found
[ -0.32276472449302673, -0.22568407654762268, 0.8622258901596069, 0.4346148371696472, -0.5282984972000122, 0.7012965679168701, 0.7915717363357544, 0.07618629932403564, 0.7746022939682007, 0.2563222646713257, -0.785281777381897, -0.22573848068714142, -0.9104482531547546, 0.5715669393539429, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
mb23/GraySpectrotram_example
mb23
2023-11-11T23:45:07Z
0
0
null
[ "region:us" ]
2023-11-11T23:45:07Z
2023-11-11T23:43:55.000Z
2023-11-11T23:43:55
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: caption dtype: string - name: data_idx dtype: int32 - name: number dtype: int32 - name: label dtype: class_label: names: '0': blues '1': classical '2': country '3': disco '4': hiphop '5': metal '6': pop '7': reggae '8': rock '9': jazz splits: - name: train num_bytes: 1063512266.0 num_examples: 9258 - name: test num_bytes: 983072759.0 num_examples: 8722 download_size: 2042103711 dataset_size: 2046585025.0 --- # Dataset Card for "GraySpectrotram_example" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.6672295331954956, -0.20941399037837982, 0.322054386138916, 0.2022893726825714, -0.45657646656036377, -0.1844390630722046, 0.26128214597702026, -0.04767567664384842, 0.6876909136772156, 0.2728329300880432, -0.8650264739990234, -0.7829538583755493, -0.5306930541992188, -0.3888288140296936...
null
null
null
null
null
null
null
null
null
null
null
null
null
sdadasfgdfgfdg/diggo
sdadasfgdfgfdg
2023-11-12T00:18:44Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T00:18:44Z
2023-11-11T23:53:32.000Z
2023-11-11T23:53:32
--- license: openrail ---
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
null
null
null
null
null
null
null
null
null
null
null
null
null
mdass/236_images
mdass
2023-11-12T01:11:26Z
0
0
null
[ "region:us" ]
2023-11-12T01:11:26Z
2023-11-12T00:56:38.000Z
2023-11-12T00:56:38
--- dataset_info: features: - name: logoName dtype: string - name: fileName dtype: string - name: image dtype: binary - name: name dtype: string splits: - name: train num_bytes: 1799478 num_examples: 100 download_size: 1789315 dataset_size: 1799478 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "236_images" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.7757123708724976, 0.05891719087958336, 0.2651008665561676, 0.330083966255188, -0.437080442905426, -0.22687822580337524, 0.3032534718513489, -0.1596774160861969, 0.8826954364776611, 0.6303544640541077, -0.7588775157928467, -0.7240001559257507, -0.6718462705612183, -0.12019529193639755, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
Julianarosabr/jujuvoz
Julianarosabr
2023-11-12T01:12:53Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T01:12:53Z
2023-11-12T01:11:31.000Z
2023-11-12T01:11:31
--- license: openrail ---
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
null
null
null
null
null
null
null
null
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null
null
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mdass/236_rand_images
mdass
2023-11-12T01:15:11Z
0
0
null
[ "region:us" ]
2023-11-12T01:15:11Z
2023-11-12T01:12:15.000Z
2023-11-12T01:12:15
--- dataset_info: features: - name: image dtype: image - name: name dtype: string splits: - name: train num_bytes: 1996549.0 num_examples: 100 download_size: 1991185 dataset_size: 1996549.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "236_rand_images" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.7950465679168701, 0.0938376784324646, 0.28133276104927063, 0.45058655738830566, -0.45083996653556824, -0.24178405106067657, 0.15519389510154724, -0.07612497359514236, 0.807264506816864, 0.6490961909294128, -0.7944836020469666, -0.6594064831733704, -0.5476186275482178, -0.143948614597320...
null
null
null
null
null
null
null
null
null
null
null
null
null
mdass/236_rand__images
mdass
2023-11-12T01:15:33Z
0
0
null
[ "region:us" ]
2023-11-12T01:15:33Z
2023-11-12T01:15:31.000Z
2023-11-12T01:15:31
--- dataset_info: features: - name: image dtype: image - name: name dtype: string splits: - name: train num_bytes: 1996549.0 num_examples: 100 download_size: 1991185 dataset_size: 1996549.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "236_rand__images" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.7654207944869995, 0.09789396077394485, 0.2583661675453186, 0.4484184980392456, -0.45971551537513733, -0.24592545628547668, 0.1540028154850006, -0.07698659598827362, 0.7840521931648254, 0.6552020311355591, -0.7898008227348328, -0.6729164719581604, -0.5514531135559082, -0.1495478153228759...
null
null
null
null
null
null
null
null
null
null
null
null
null
sdadasfgdfgfdg/sasuke
sdadasfgdfgfdg
2023-11-12T01:35:21Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T01:35:21Z
2023-11-12T01:33:47.000Z
2023-11-12T01:33:47
--- license: openrail ---
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
null
null
null
null
null
null
null
null
null
null
null
null
null
RickyChen-Infinirc/llm
RickyChen-Infinirc
2023-11-12T01:59:07Z
0
0
null
[ "region:us" ]
2023-11-12T01:59:07Z
2023-11-12T01:56:56.000Z
2023-11-12T01:56:56
Entry not found
[ -0.3227648138999939, -0.22568459808826447, 0.8622260093688965, 0.43461498618125916, -0.5282989144325256, 0.701296329498291, 0.7915719151496887, 0.07618649303913116, 0.7746025323867798, 0.2563220262527466, -0.7852813601493835, -0.22573833167552948, -0.9104480743408203, 0.5715669393539429, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
Pablao0948/Juliette
Pablao0948
2023-11-12T02:55:00Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T02:55:00Z
2023-11-12T02:54:41.000Z
2023-11-12T02:54:41
--- license: openrail ---
[ -0.12853379547595978, -0.18616773188114166, 0.6529127955436707, 0.4943625330924988, -0.19319316744804382, 0.23607458174228668, 0.36071985960006714, 0.05056329071521759, 0.5793651938438416, 0.740013837814331, -0.6508100628852844, -0.23783975839614868, -0.710224986076355, -0.0478257611393928...
null
null
null
null
null
null
null
null
null
null
null
null
null
PunkWe1ght/embers
PunkWe1ght
2023-11-12T03:43:08Z
0
0
null
[ "license:mit", "region:us" ]
2023-11-12T03:43:08Z
2023-11-12T03:00:59.000Z
2023-11-12T03:00:59
--- license: mit --- Recipe and flavor pairings dataset(s) to be used for LLM training.
[ 0.2631819248199463, -0.22891268134117126, 0.35856595635414124, 0.3768008053302765, -0.22344394028186798, 0.08448304235935211, 0.1068471223115921, 0.372894287109375, 0.9692619442939758, 1.0893975496292114, -0.7547381520271301, -0.2638738453388214, -0.5153950452804565, 0.2801516652107239, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
sdadasfgdfgfdg/sasuke_v2
sdadasfgdfgfdg
2023-11-12T03:25:54Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T03:25:54Z
2023-11-12T03:08:07.000Z
2023-11-12T03:08:07
--- license: openrail ---
[ -0.12853379547595978, -0.18616773188114166, 0.6529127955436707, 0.4943625330924988, -0.19319316744804382, 0.23607458174228668, 0.36071985960006714, 0.05056329071521759, 0.5793651938438416, 0.740013837814331, -0.6508100628852844, -0.23783975839614868, -0.710224986076355, -0.0478257611393928...
null
null
null
null
null
null
null
null
null
null
null
null
null
kirp/wisdomBar
kirp
2023-11-12T03:56:45Z
0
0
null
[ "task_categories:text-generation", "size_categories:100K<n<1M", "language:zh", "license:apache-2.0", "region:us" ]
2023-11-12T03:56:45Z
2023-11-12T03:35:51.000Z
2023-11-12T03:35:51
--- license: apache-2.0 task_categories: - text-generation language: - zh pretty_name: 弱智吧数据集 size_categories: - 100K<n<1M --- # 弱智吧数据集 wisdomBar dataset 弱智吧是百度贴吧中的一个非常受欢迎的论坛,以创作短小精悍而闻名。 这里是截至2023/11/10日前的raw data。 ## Todo - get the top 5 answers to each post - clean the data - a joke dataset(pure text/multimodal) - a feasibility dataset - a new benchmark for LLM
[ -0.1761501431465149, -0.9007567167282104, -0.14791330695152283, 0.08940446376800537, -0.8236379623413086, -0.38035517930984497, 0.03589751198887825, -0.3261491358280182, 0.6197705268859863, 0.6746015548706055, -0.7799645662307739, -0.8608586192131042, -0.5272950530052185, -0.23192861676216...
null
null
null
null
null
null
null
null
null
null
null
null
null
Kaue123456/PauloTeixeiraPatati
Kaue123456
2023-11-12T03:44:28Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T03:44:28Z
2023-11-12T03:42:52.000Z
2023-11-12T03:42:52
--- license: openrail ---
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
null
null
null
null
null
null
null
null
null
null
null
null
null
Praghxx/Bryan
Praghxx
2023-11-12T03:44:27Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T03:44:27Z
2023-11-12T03:43:45.000Z
2023-11-12T03:43:45
--- license: openrail ---
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
null
null
null
null
null
null
null
null
null
null
null
null
null
adarshxs/Openhermes-01ai-yi-format
adarshxs
2023-11-12T04:10:38Z
0
0
null
[ "region:us" ]
2023-11-12T04:10:38Z
2023-11-12T04:03:41.000Z
2023-11-12T04:03:41
Entry not found
[ -0.32276472449302673, -0.22568407654762268, 0.8622258901596069, 0.4346148371696472, -0.5282984972000122, 0.7012965679168701, 0.7915717363357544, 0.07618629932403564, 0.7746022939682007, 0.2563222646713257, -0.785281777381897, -0.22573848068714142, -0.9104482531547546, 0.5715669393539429, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
zhiyuan123/sd
zhiyuan123
2023-11-12T06:48:01Z
0
0
null
[ "region:us" ]
2023-11-12T06:48:01Z
2023-11-12T04:04:26.000Z
2023-11-12T04:04:26
Entry not found
[ -0.3227649927139282, -0.225684255361557, 0.862226128578186, 0.43461498618125916, -0.5282987952232361, 0.7012963891029358, 0.7915717363357544, 0.07618629932403564, 0.7746025919914246, 0.2563219666481018, -0.7852816581726074, -0.2257382869720459, -0.9104480743408203, 0.5715669393539429, -0...
null
null
null
null
null
null
null
null
null
null
null
null
null
GiovanniHD/Naomi
GiovanniHD
2023-11-12T04:07:37Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T04:07:37Z
2023-11-12T04:06:38.000Z
2023-11-12T04:06:38
--- license: openrail ---
[ -0.12853367626667023, -0.18616794049739838, 0.6529126763343811, 0.4943627417087555, -0.19319313764572144, 0.23607443273067474, 0.36071979999542236, 0.05056338757276535, 0.5793654322624207, 0.7400138974189758, -0.6508103013038635, -0.23783987760543823, -0.710224986076355, -0.047825977206230...
null
null
null
null
null
null
null
null
null
null
null
null
null
davozing223/auluskawasew
davozing223
2023-11-12T04:11:49Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T04:11:49Z
2023-11-12T04:08:24.000Z
2023-11-12T04:08:24
--- license: openrail ---
[ -0.12853367626667023, -0.18616794049739838, 0.6529126763343811, 0.4943627417087555, -0.19319313764572144, 0.23607443273067474, 0.36071979999542236, 0.05056338757276535, 0.5793654322624207, 0.7400138974189758, -0.6508103013038635, -0.23783987760543823, -0.710224986076355, -0.047825977206230...
null
null
null
null
null
null
null
null
null
null
null
null
null
sdadasfgdfgfdg/sasuke4
sdadasfgdfgfdg
2023-11-12T04:42:03Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T04:42:03Z
2023-11-12T04:38:48.000Z
2023-11-12T04:38:48
--- license: openrail ---
[ -0.12853367626667023, -0.18616794049739838, 0.6529126763343811, 0.4943627417087555, -0.19319313764572144, 0.23607443273067474, 0.36071979999542236, 0.05056338757276535, 0.5793654322624207, 0.7400138974189758, -0.6508103013038635, -0.23783987760543823, -0.710224986076355, -0.047825977206230...
null
null
null
null
null
null
null
null
null
null
null
null
null
seonglae/wiki_dpr_token
seonglae
2023-11-12T15:55:28Z
0
0
null
[ "region:us" ]
2023-11-12T15:55:28Z
2023-11-12T04:39:03.000Z
2023-11-12T04:39:03
--- dataset_info: config_name: gpt-4 features: - name: id dtype: string - name: title dtype: string - name: text dtype: string - name: token_length dtype: int64 - name: text_length dtype: int64 splits: - name: train num_bytes: 14112430156 num_examples: 21015300 download_size: 7635924562 dataset_size: 14112430156 configs: - config_name: gpt-4 data_files: - split: train path: gpt-4/train-* --- # Dataset Card for "wiki_dpr_token" ## Distribution ```ts [ { // Token length '~128': 2625007, '128~256': 18370607, '256~512': 19066, '512~1024': 571, '1024~2048': 47, '2048~4096': 2, '4096~8192': 0, '8192~16384': 0, '16384~32768': 0, '32768~65536': 0, '65536~128000': 0, '128000~': 0, }, { // Text length '~512': 86519, '512~1024': 20927180, '1024~2048': 1557, '2048~4096': 43, '4096~8192': 1, '8192~16384': 0, '16384~32768': 0, '32768~65536': 0, '65536~': 0, }, { // Token distribution '~128': '12.49%', '128~256': '87.42%', '256~512': '0.09%', '512~1024': '0.00%', '1024~2048': '0.00%', '2048~4096': '0.00%', '4096~8192': '0.00%', '8192~16384': '0.00%', '16384~32768': '0.00%', '32768~65536': '0.00%', '65536~128000': '0.00%', '128000~': '0.00%', }, { // Text distribution '~512': '0.41%', '512~1024': '99.58%', '1024~2048': '0.01%', '2048~4096': '0.00%', '4096~8192': '0.00%', '8192~16384': '0.00%', '16384~32768': '0.00%', '32768~65536': '0.00%', '65536~': '0.00%', } ] ```
[ -0.40398189425468445, -0.21247105300426483, 0.0013450029073283076, 0.12170998007059097, -0.6957863569259644, -0.00812150165438652, -0.06718593090772629, 0.24613499641418457, 0.5451313853263855, 0.19234353303909302, -0.8047128915786743, -1.1563600301742554, -0.7399603724479675, 0.2954148948...
null
null
null
null
null
null
null
null
null
null
null
null
null
iohadrubin/ICPT-1T
iohadrubin
2023-11-12T05:12:35Z
0
0
null
[ "region:us" ]
2023-11-12T05:12:35Z
2023-11-12T05:04:35.000Z
2023-11-12T05:04:35
Entry not found
[ -0.32276487350463867, -0.22568444907665253, 0.8622263073921204, 0.43461570143699646, -0.5282988548278809, 0.7012969255447388, 0.7915717363357544, 0.07618642598390579, 0.7746027112007141, 0.25632190704345703, -0.7852815389633179, -0.22573848068714142, -0.910447895526886, 0.5715675354003906,...
null
null
null
null
null
null
null
null
null
null
null
null
null
juntaoyuan/elements
juntaoyuan
2023-11-12T05:55:07Z
0
0
null
[ "license:apache-2.0", "region:us" ]
2023-11-12T05:55:07Z
2023-11-12T05:24:20.000Z
2023-11-12T05:24:20
--- license: apache-2.0 ---
[ -0.1285339742898941, -0.18616800010204315, 0.6529127359390259, 0.4943626821041107, -0.1931934952735901, 0.2360742688179016, 0.360720157623291, 0.05056300014257431, 0.5793654322624207, 0.7400140166282654, -0.6508105993270874, -0.23783984780311584, -0.7102248668670654, -0.047826044261455536,...
null
null
null
null
null
null
null
null
null
null
null
null
null
furry-br/stella
furry-br
2023-11-12T05:33:11Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T05:33:11Z
2023-11-12T05:32:30.000Z
2023-11-12T05:32:30
--- license: openrail ---
[ -0.1285339742898941, -0.18616800010204315, 0.6529127359390259, 0.4943626821041107, -0.1931934952735901, 0.2360742688179016, 0.360720157623291, 0.05056300014257431, 0.5793654322624207, 0.7400140166282654, -0.6508105993270874, -0.23783984780311584, -0.7102248668670654, -0.047826044261455536,...
null
null
null
null
null
null
null
null
null
null
null
null
null
dpquoc/wiki-faiss-index
dpquoc
2023-11-15T15:50:44Z
0
0
null
[ "region:us" ]
2023-11-15T15:50:44Z
2023-11-12T06:02:28.000Z
2023-11-12T06:02:28
Entry not found
[ -0.3227647542953491, -0.22568407654762268, 0.8622258901596069, 0.4346148371696472, -0.5282984972000122, 0.7012965083122253, 0.7915717959403992, 0.07618629932403564, 0.7746022343635559, 0.2563222348690033, -0.785281777381897, -0.22573848068714142, -0.9104482531547546, 0.5715669393539429, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
IndonesiaAI/translated-samples
IndonesiaAI
2023-11-12T06:28:00Z
0
0
null
[ "region:us" ]
2023-11-12T06:28:00Z
2023-11-12T06:02:47.000Z
2023-11-12T06:02:47
--- dataset_info: features: - name: qid dtype: int64 - name: question dtype: string - name: response_j dtype: string - name: response_k dtype: string splits: - name: train num_bytes: 27784014.883398503 num_examples: 10000 download_size: 16825459 dataset_size: 27784014.883398503 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "translated-samples" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.5297178626060486, -0.24699433147907257, 0.23797763884067535, 0.4299267828464508, -0.25085654854774475, -0.05215200409293175, -0.11163271218538284, -0.3274547755718231, 0.8743180632591248, 0.5677041411399841, -0.8493641018867493, -0.9252721071243286, -0.6726356744766235, -0.0226201713085...
null
null
null
null
null
null
null
null
null
null
null
null
null
nguyenth1312/traditional_clothes
nguyenth1312
2023-11-12T06:03:13Z
0
0
null
[ "region:us" ]
2023-11-12T06:03:13Z
2023-11-12T06:03:08.000Z
2023-11-12T06:03:08
--- dataset_info: features: - name: image dtype: image - name: 'Unnamed: 0' dtype: int64 - name: text dtype: string splits: - name: train num_bytes: 148739545.0 num_examples: 59 download_size: 110961466 dataset_size: 148739545.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "traditional_clothes" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.50131756067276, -0.3685667812824249, -0.011533631943166256, 0.0561845488846302, -0.4336625933647156, -0.021600773558020592, 0.11109491437673569, -0.37449756264686584, 0.8454861044883728, 0.6924247741699219, -1.0070942640304565, -0.9383095502853394, -0.3810863792896271, -0.15950362384319...
null
null
null
null
null
null
null
null
null
null
null
null
null
PanJianxiong/InboxPrivate
PanJianxiong
2023-11-15T09:16:29Z
0
0
null
[ "license:mit", "region:us" ]
2023-11-15T09:16:29Z
2023-11-12T06:34:01.000Z
2023-11-12T06:34:01
--- license: mit ---
[ -0.12853392958641052, -0.18616779148578644, 0.6529127955436707, 0.49436280131340027, -0.19319361448287964, 0.23607419431209564, 0.36072003841400146, 0.050563063472509384, 0.579365611076355, 0.7400140762329102, -0.6508104205131531, -0.23783954977989197, -0.7102249264717102, -0.0478260256350...
null
null
null
null
null
null
null
null
null
null
null
null
null
BangumiBase/yakinbyoutou
BangumiBase
2023-11-12T07:34:43Z
0
0
null
[ "size_categories:1K<n<10K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
2023-11-12T07:34:43Z
2023-11-12T06:47:32.000Z
2023-11-12T06:47:32
--- license: mit tags: - art - not-for-all-audiences size_categories: - 1K<n<10K --- # Bangumi Image Base of Yakin Byoutou This is the image base of bangumi Yakin Byoutou, we detected 28 characters, 2053 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 | 194 | [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 | 84 | [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 | 106 | [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 | 228 | [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 | 228 | [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 | 32 | [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 | 15 | [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 | 184 | [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 | 48 | [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 | 35 | [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 | 35 | [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 | 52 | [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 | 50 | [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 | 52 | [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 | 79 | [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 | 24 | [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 | 12 | [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 | 16 | [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 | 41 | [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 | 29 | [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 | 122 | [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 | 27 | [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 | 33 | [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 | 56 | [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 | 24 | [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 | 10 | [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) | ![preview 7](26/preview_7.png) | ![preview 8](26/preview_8.png) | | noise | 209 | [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) |
[ -0.6966972351074219, -0.1323566883802414, 0.15146426856517792, 0.17533843219280243, -0.2733374536037445, -0.09307929128408432, -0.03498057276010513, -0.3639022707939148, 0.6317560076713562, 0.548574686050415, -0.9801311492919922, -0.841823160648346, -0.6963640451431274, 0.5009596943855286,...
null
null
null
null
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null
null
null
ErhaChen/game_icon
ErhaChen
2023-11-12T15:38:06Z
0
2
null
[ "task_categories:text-to-image", "size_categories:n<1K", "license:apache-2.0", "art", "region:us" ]
2023-11-12T15:38:06Z
2023-11-12T07:08:42.000Z
2023-11-12T07:08:42
--- license: apache-2.0 task_categories: - text-to-image tags: - art size_categories: - n<1K ---
[ -0.1285335123538971, -0.1861683875322342, 0.6529128551483154, 0.49436232447624207, -0.19319400191307068, 0.23607441782951355, 0.36072009801864624, 0.05056373029947281, 0.5793656706809998, 0.7400146722793579, -0.650810182094574, -0.23784008622169495, -0.7102247476577759, -0.0478255338966846...
null
null
null
null
null
null
null
null
null
null
null
null
null
nhuquynh10/firstdataset
nhuquynh10
2023-11-12T07:13:57Z
0
0
null
[ "region:us" ]
2023-11-12T07:13:57Z
2023-11-12T07:12:39.000Z
2023-11-12T07:12:39
Entry not found
[ -0.3227645754814148, -0.22568479180335999, 0.8622263669967651, 0.43461522459983826, -0.52829909324646, 0.7012971639633179, 0.7915719747543335, 0.07618614286184311, 0.774603009223938, 0.2563217282295227, -0.7852813005447388, -0.22573819756507874, -0.9104475975036621, 0.5715674161911011, -...
null
null
null
null
null
null
null
null
null
null
null
null
null
Msun/sunrgbd
Msun
2023-11-12T07:17:15Z
0
0
null
[ "license:wtfpl", "region:us" ]
2023-11-12T07:17:15Z
2023-11-12T07:17:15.000Z
2023-11-12T07:17:15
--- license: wtfpl ---
[ -0.1285335123538971, -0.1861683875322342, 0.6529128551483154, 0.49436232447624207, -0.19319400191307068, 0.23607441782951355, 0.36072009801864624, 0.05056373029947281, 0.5793656706809998, 0.7400146722793579, -0.650810182094574, -0.23784008622169495, -0.7102247476577759, -0.0478255338966846...
null
null
null
null
null
null
null
null
null
null
null
null
null
Pablao0948/Relampago_Mac
Pablao0948
2023-11-12T07:35:09Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T07:35:09Z
2023-11-12T07:34:42.000Z
2023-11-12T07:34:42
--- license: openrail ---
[ -0.1285335123538971, -0.1861683875322342, 0.6529128551483154, 0.49436232447624207, -0.19319400191307068, 0.23607441782951355, 0.36072009801864624, 0.05056373029947281, 0.5793656706809998, 0.7400146722793579, -0.650810182094574, -0.23784008622169495, -0.7102247476577759, -0.0478255338966846...
null
null
null
null
null
null
null
null
null
null
null
null
null
CyberHarem/airi_akizuki_onichichi
CyberHarem
2023-11-12T07:57:44Z
0
0
null
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
2023-11-12T07:57:44Z
2023-11-12T07:42:56.000Z
2023-11-12T07:42:56
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Airi Akizuki This is the dataset of Airi Akizuki, containing 799 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 799 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 1719 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 2063 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 799 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 799 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 799 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 1719 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 1719 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 1452 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 2063 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 2063 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
[ -0.7467423677444458, -0.23382939398288727, 0.33755654096603394, -0.008903310634195805, -0.14556801319122314, -0.2474575638771057, 0.20812299847602844, -0.4642055332660675, 0.7065121531486511, 0.669062077999115, -0.8319153189659119, -0.6697864532470703, -0.6334646940231323, 0.15873752534389...
null
null
null
null
null
null
null
null
null
null
null
null
null
Pablao0948/Joe_Goldberg
Pablao0948
2023-11-12T07:53:06Z
0
0
null
[ "license:openrail", "region:us" ]
2023-11-12T07:53:06Z
2023-11-12T07:53:06.000Z
2023-11-12T07:53:06
--- license: openrail ---
[ -0.1285335123538971, -0.1861683875322342, 0.6529128551483154, 0.49436232447624207, -0.19319400191307068, 0.23607441782951355, 0.36072009801864624, 0.05056373029947281, 0.5793656706809998, 0.7400146722793579, -0.650810182094574, -0.23784008622169495, -0.7102247476577759, -0.0478255338966846...
null
null
null
null
null
null
null
null
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null
CyberHarem/sana_kuranaka_onichichi
CyberHarem
2023-11-12T08:10:59Z
0
0
null
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
2023-11-12T08:10:59Z
2023-11-12T08:05:54.000Z
2023-11-12T08:05:54
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Sana Kuranaka This is the dataset of Sana Kuranaka, containing 134 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 134 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 293 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 353 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 134 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 134 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 134 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 293 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 293 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 213 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 353 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 353 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
[ -0.5548481345176697, -0.3137645125389099, 0.48229411244392395, 0.18732251226902008, -0.28353461623191833, -0.032934535294771194, 0.1763107031583786, -0.5565305352210999, 0.7499037384986877, 0.7422572374343872, -0.6408746242523193, -0.7619327306747437, -0.6428501009941101, 0.352456659078598...
null
null
null
null
null
null
null
null
null
null
null
null
null
CyberHarem/marina_akizuki_onichichi
CyberHarem
2023-11-12T08:39:58Z
0
0
null
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
2023-11-12T08:39:58Z
2023-11-12T08:32:35.000Z
2023-11-12T08:32:35
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Marina Akizuki This is the dataset of Marina Akizuki, containing 300 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 300 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 588 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 730 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 300 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 300 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 300 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 588 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 588 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 502 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 730 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 730 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
[ -0.6440930962562561, -0.09333758801221848, 0.4429987967014313, 0.16897183656692505, -0.15106531977653503, -0.19094081223011017, 0.27332815527915955, -0.43532246351242065, 0.7107693552970886, 0.7358489036560059, -0.8123044371604919, -0.8798071146011353, -0.45346692204475403, 0.2671457529067...
null
null
null
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null
null
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null
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null
null
null
null
arieg/bw_spec_cls_4_02_s_200
arieg
2023-11-12T08:35:09Z
0
0
null
[ "region:us" ]
2023-11-12T08:35:09Z
2023-11-12T08:35:06.000Z
2023-11-12T08:35:06
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '197' '1': '200' '2': '203' '3': '204' splits: - name: train num_bytes: 47753451.0 num_examples: 800 - name: test num_bytes: 1194763.0 num_examples: 20 download_size: 42540369 dataset_size: 48948214.0 --- # Dataset Card for "bw_spec_cls_4_02_s_200" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.6066014170646667, 0.005203680135309696, 0.3285408616065979, 0.5002720355987549, -0.19682131707668304, -0.15689481794834137, 0.09010592848062515, -0.12728054821491241, 0.5761499404907227, 0.5121768116950989, -0.847625732421875, -0.6695631742477417, -0.45244258642196655, 0.021600604057312...
null
null
null
null
null
null
null
null
null
null
null
null
null
arieg/bw_spec_cls_4_03_s_200
arieg
2023-11-12T08:42:17Z
0
0
null
[ "region:us" ]
2023-11-12T08:42:17Z
2023-11-12T08:42:13.000Z
2023-11-12T08:42:13
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '207' '1': '210' '2': '211' '3': '212' splits: - name: train num_bytes: 46577441.0 num_examples: 800 - name: test num_bytes: 1167064.0 num_examples: 20 download_size: 41422161 dataset_size: 47744505.0 --- # Dataset Card for "bw_spec_cls_4_03_s_200" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.6555031538009644, -0.0027654615696519613, 0.3801825940608978, 0.5456936955451965, -0.19380922615528107, -0.18932846188545227, 0.10506681352853775, -0.1077766939997673, 0.5466234683990479, 0.5301920771598816, -0.860305666923523, -0.7204134464263916, -0.45134544372558594, 0.06564027816057...
null
null
null
null
null
null
null
null
null
null
null
null
null
arieg/bw_spec_cls_4_04_s_200
arieg
2023-11-12T08:49:12Z
0
0
null
[ "region:us" ]
2023-11-12T08:49:12Z
2023-11-12T08:49:08.000Z
2023-11-12T08:49:08
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '213' '1': '255' '2': '256' '3': '368' splits: - name: train num_bytes: 42954830.0 num_examples: 800 - name: test num_bytes: 1066370.0 num_examples: 20 download_size: 38269047 dataset_size: 44021200.0 --- # Dataset Card for "bw_spec_cls_4_04_s_200" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.6626312136650085, 0.027474798262119293, 0.36677393317222595, 0.5155748724937439, -0.21591030061244965, -0.1509811133146286, 0.0335860550403595, -0.11629065126180649, 0.553954005241394, 0.5010084509849548, -0.8391304612159729, -0.7402644753456116, -0.4297713041305542, 0.13429991900920868...
null
null
null
null
null
null
null
null
null
null
null
null
null
CyberHarem/natsume_makino_onichichi
CyberHarem
2023-11-12T08:54:46Z
0
0
null
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
2023-11-12T08:54:46Z
2023-11-12T08:51:32.000Z
2023-11-12T08:51:32
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Natsume Makino This is the dataset of Natsume Makino, containing 168 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 168 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 363 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 460 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 168 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 168 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 168 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 363 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 363 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 311 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 460 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 460 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
[ -0.7966846823692322, -0.36560478806495667, 0.41857653856277466, 0.07248497009277344, -0.2689269781112671, -0.12687230110168457, 0.23121629655361176, -0.5055691599845886, 0.8236060738563538, 0.8475004434585571, -0.9155920147895813, -0.700315535068512, -0.5374956130981445, 0.4476656615734100...
null
null
null
null
null
null
null
null
null
null
null
null
null
arieg/bw_spec_cls_4_05_s_200
arieg
2023-11-12T08:56:17Z
0
0
null
[ "region:us" ]
2023-11-12T08:56:17Z
2023-11-12T08:56:14.000Z
2023-11-12T08:56:14
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '424' '1': '534' '2': '540' '3': '546' splits: - name: train num_bytes: 43665640.0 num_examples: 800 - name: test num_bytes: 1066495.0 num_examples: 20 download_size: 38201487 dataset_size: 44732135.0 --- # Dataset Card for "bw_spec_cls_4_05_s_200" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.663140594959259, 0.05413602292537689, 0.36416497826576233, 0.5074619054794312, -0.20672854781150818, -0.16263815760612488, 0.0472235232591629, -0.1244979202747345, 0.5351376533508301, 0.47520911693573, -0.8829666972160339, -0.8059123158454895, -0.41448575258255005, 0.123198002576828, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
mesolitica/translated-LLaVA-Pretrain
mesolitica
2023-11-12T08:58:40Z
0
0
null
[ "region:us" ]
2023-11-12T08:58:40Z
2023-11-12T08:57:59.000Z
2023-11-12T08:57:59
Entry not found
[ -0.32276487350463867, -0.22568444907665253, 0.8622263073921204, 0.43461570143699646, -0.5282988548278809, 0.7012969255447388, 0.7915717363357544, 0.07618642598390579, 0.7746027112007141, 0.25632190704345703, -0.7852815389633179, -0.22573848068714142, -0.910447895526886, 0.5715675354003906,...
null
null
null
null
null
null
null
null
null
null
null
null
null
arieg/bw_spec_cls_4_06_s_200
arieg
2023-11-12T09:03:21Z
0
0
null
[ "region:us" ]
2023-11-12T09:03:21Z
2023-11-12T09:03:18.000Z
2023-11-12T09:03:18
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '574' '1': '615' '2': '620' '3': '621' splits: - name: train num_bytes: 42703982.0 num_examples: 800 - name: test num_bytes: 1070833.0 num_examples: 20 download_size: 38425177 dataset_size: 43774815.0 --- # Dataset Card for "bw_spec_cls_4_06_s_200" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.6333335041999817, 0.007091899868100882, 0.32117700576782227, 0.4681473970413208, -0.2102147936820984, -0.1969158798456192, 0.0435682088136673, -0.14187252521514893, 0.5607542991638184, 0.49391788244247437, -0.861576497554779, -0.731291651725769, -0.4570977985858917, 0.10500245541334152,...
null
null
null
null
null
null
null
null
null
null
null
null
null
CyberHarem/haruka_makino_onichichi
CyberHarem
2023-11-12T09:10:17Z
0
0
null
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
2023-11-12T09:10:17Z
2023-11-12T09:07:22.000Z
2023-11-12T09:07:22
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Haruka Makino This is the dataset of Haruka Makino, containing 185 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 185 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 444 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 517 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 185 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 185 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 185 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 444 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 444 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 400 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 517 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 517 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
[ -0.7180719375610352, -0.412854939699173, 0.39668452739715576, 0.03130511939525604, -0.2153787761926651, -0.11585048586130142, 0.16471798717975616, -0.49412092566490173, 0.87018221616745, 0.7681222558021545, -0.863214910030365, -0.7431104779243469, -0.5678723454475403, 0.31830549240112305, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
arieg/bw_spec_cls_4_07_s_200
arieg
2023-11-12T09:10:13Z
0
0
null
[ "region:us" ]
2023-11-12T09:10:13Z
2023-11-12T09:10:09.000Z
2023-11-12T09:10:09
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '625' '1': '666' '2': '667' '3': '676' splits: - name: train num_bytes: 44126695.0 num_examples: 800 - name: test num_bytes: 1096929.0 num_examples: 20 download_size: 37934265 dataset_size: 45223624.0 --- # Dataset Card for "bw_spec_cls_4_07_s_200" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.6640438437461853, 0.0570526048541069, 0.3171175420284271, 0.5343756079673767, -0.23140910267829895, -0.1816752552986145, 0.06242308393120766, -0.13680051267147064, 0.5167774558067322, 0.5415626168251038, -0.8368721008300781, -0.7837145328521729, -0.44824621081352234, 0.13526493310928345...
null
null
null
null
null
null
null
null
null
null
null
null
null
CyberHarem/perlica_arknights
CyberHarem
2023-11-12T09:18:39Z
0
0
null
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
2023-11-12T09:18:39Z
2023-11-12T09:17:04.000Z
2023-11-12T09:17:04
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of perlica_arknights This is the dataset of perlica_arknights, containing 82 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 82 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 219 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 241 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 82 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 82 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 82 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 219 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 219 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 193 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 241 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 241 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
[ -0.60081547498703, -0.2512018084526062, 0.516343891620636, 0.29662570357322693, -0.1592050939798355, -0.06162910908460617, 0.2960684597492218, -0.4392456114292145, 0.7058335542678833, 0.8955930471420288, -0.8249198198318481, -0.9540302157402039, -0.5207240581512451, 0.4670713245868683, -...
null
null
null
null
null
null
null
null
null
null
null
null
null
arieg/bw_spec_cls_4_08_s_200
arieg
2023-11-12T09:17:11Z
0
0
null
[ "region:us" ]
2023-11-12T09:17:11Z
2023-11-12T09:17:07.000Z
2023-11-12T09:17:07
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '694' '1': '695' '2': '714' '3': '715' splits: - name: train num_bytes: 43724008.0 num_examples: 800 - name: test num_bytes: 1098572.0 num_examples: 20 download_size: 38859883 dataset_size: 44822580.0 --- # Dataset Card for "bw_spec_cls_4_08_s_200" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.6267104744911194, 0.0035652737133204937, 0.30928778648376465, 0.5128897428512573, -0.1942598521709442, -0.18896347284317017, 0.07755893468856812, -0.16321058571338654, 0.594372034072876, 0.5553060173988342, -0.7771031856536865, -0.6980000734329224, -0.421481728553772, 0.1287685930728912...
null
null
null
null
null
null
null
null
null
null
null
null
null
CyberHarem/endministrator_arknights
CyberHarem
2023-11-12T09:20:56Z
0
0
null
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
2023-11-12T09:20:56Z
2023-11-12T09:20:27.000Z
2023-11-12T09:20:27
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of endministrator_arknights This is the dataset of endministrator_arknights, containing 24 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 24 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 65 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 70 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 24 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 24 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 24 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 65 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 65 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 48 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 70 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 70 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
[ -0.7372404932975769, -0.283639520406723, 0.3863863945007324, 0.0886542871594429, -0.281808465719223, 0.009549351409077644, 0.21428340673446655, -0.6033030152320862, 0.7606754899024963, 0.888256311416626, -0.8806825280189514, -0.7487618327140808, -0.5409161448478699, 0.4189162850379944, -...
null
null
null
null
null
null
null
null
null
null
null
null
null
arieg/bw_spec_cls_4_09_s_200
arieg
2023-11-12T09:23:59Z
0
0
null
[ "region:us" ]
2023-11-12T09:23:59Z
2023-11-12T09:23:56.000Z
2023-11-12T09:23:56
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '716' '1': '718' '2': '777' '3': '814' splits: - name: train num_bytes: 42982359.0 num_examples: 800 - name: test num_bytes: 1090889.0 num_examples: 20 download_size: 38084510 dataset_size: 44073248.0 --- # Dataset Card for "bw_spec_cls_4_09_s_200" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.6372247338294983, 0.0387895293533802, 0.3333956003189087, 0.5016828775405884, -0.2269991785287857, -0.09798096120357513, 0.03839440643787384, -0.13626421988010406, 0.6036463975906372, 0.522549569606781, -0.821504533290863, -0.7026784420013428, -0.44455820322036743, 0.112028568983078, ...
null
null
null
null
null
null
null
null
null
null
null
null
null
CyberHarem/akira_makino_onichichi
CyberHarem
2023-11-12T09:59:57Z
0
0
null
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
2023-11-12T09:59:57Z
2023-11-12T09:26:01.000Z
2023-11-12T09:26:01
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Akira Makino This is the dataset of Akira Makino, containing 198 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 198 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 420 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 511 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 198 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 198 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 198 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 420 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 420 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 390 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 511 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 511 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
[ -0.7654381990432739, -0.3487338721752167, 0.5939781069755554, -0.09255717694759369, -0.2817828357219696, -0.14801275730133057, 0.26146242022514343, -0.4435562193393707, 0.9882054328918457, 0.829270601272583, -0.9109504818916321, -0.8134366869926453, -0.6061036586761475, 0.3327731490135193,...
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DarkVision/major_project
DarkVision
2023-11-12T09:38:06Z
0
0
null
[ "region:us" ]
2023-11-12T09:38:06Z
2023-11-12T09:28:47.000Z
2023-11-12T09:28:47
Entry not found
[ -0.32276487350463867, -0.22568444907665253, 0.8622263073921204, 0.43461570143699646, -0.5282988548278809, 0.7012969255447388, 0.7915717363357544, 0.07618642598390579, 0.7746027112007141, 0.25632190704345703, -0.7852815389633179, -0.22573848068714142, -0.910447895526886, 0.5715675354003906,...
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arieg/bw_spec_cls_4_10_s_200
arieg
2023-11-12T09:30:42Z
0
0
null
[ "region:us" ]
2023-11-12T09:30:42Z
2023-11-12T09:30:38.000Z
2023-11-12T09:30:38
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '821' '1': '822' '2': '825' '3': '853' splits: - name: train num_bytes: 43884906.0 num_examples: 800 - name: test num_bytes: 1117368.0 num_examples: 20 download_size: 38172148 dataset_size: 45002274.0 --- # Dataset Card for "bw_spec_cls_4_10_s_200" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.7272742986679077, -0.001252516289241612, 0.3255336582660675, 0.5174636244773865, -0.16779226064682007, -0.10479516535997391, -0.002202287781983614, -0.14508937299251556, 0.6387783885002136, 0.46659576892852783, -0.8039999008178711, -0.7047280073165894, -0.5082037448883057, 0.07564147561...
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arieg/bw_spec_cls_4_11_s_200
arieg
2023-11-12T09:37:36Z
0
0
null
[ "region:us" ]
2023-11-12T09:37:36Z
2023-11-12T09:37:32.000Z
2023-11-12T09:37:32
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '897' '1': '995' '2': '997' '3': '998' splits: - name: train num_bytes: 36533192.0 num_examples: 800 - name: test num_bytes: 907504.0 num_examples: 20 download_size: 33482081 dataset_size: 37440696.0 --- # Dataset Card for "bw_spec_cls_4_11_s_200" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.7120288014411926, -0.007052069064229727, 0.331341952085495, 0.4647495448589325, -0.20956118404865265, -0.06621530652046204, 0.025468606501817703, -0.16187268495559692, 0.6432182788848877, 0.46331772208213806, -0.7965380549430847, -0.733536958694458, -0.533970296382904, 0.020293258130550...
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kjappelbaum/chemnlp-arxiv
kjappelbaum
2023-11-12T10:30:54Z
0
0
null
[ "region:us" ]
2023-11-12T10:30:54Z
2023-11-12T09:42:42.000Z
2023-11-12T09:42:42
--- dataset_info: features: - name: text dtype: string - name: meta dtype: string splits: - name: train num_bytes: 27416294241 num_examples: 1558306 download_size: 12753172611 dataset_size: 27416294241 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "chemnlp-arxiv" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.4851554036140442, 0.022368308156728745, 0.2865917980670929, 0.07046648859977722, -0.07158689945936203, 0.09704522043466568, 0.35784146189689636, -0.10463282465934753, 0.7131902575492859, 0.5614611506462097, -0.7617377638816833, -0.8585578203201294, -0.4562873840332031, -0.19715757668018...
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arieg/bw_spec_cls_4_12_s_200
arieg
2023-11-12T09:44:24Z
0
0
null
[ "region:us" ]
2023-11-12T09:44:24Z
2023-11-12T09:44:21.000Z
2023-11-12T09:44:21
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '1039' '1': '1040' '2': '1082' '3': '1083' splits: - name: train num_bytes: 42878965.0 num_examples: 800 - name: test num_bytes: 1081274.0 num_examples: 20 download_size: 37601716 dataset_size: 43960239.0 --- # Dataset Card for "bw_spec_cls_4_12_s_200" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[ -0.6931368708610535, -0.009605739265680313, 0.3202645480632782, 0.518151044845581, -0.19577710330486298, -0.06089368090033531, 0.004567616619169712, -0.14504213631153107, 0.6162028908729553, 0.4408780634403229, -0.8954127430915833, -0.7467309236526489, -0.507652997970581, 0.027998818084597...
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