id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 68.7k ⌀ | citation stringlengths 0 10.7k ⌀ | cardData null | likes int64 0 3.55k | downloads int64 0 10.1M | card stringlengths 0 1.01M |
|---|---|---|---|---|---|---|---|---|---|
rezanayebi/Data0 | 2023-09-30T10:06:08.000Z | [
"license:apache-2.0",
"region:us"
] | rezanayebi | null | null | null | 0 | 0 | ---
license: apache-2.0
---
"The First Real Estate Pre-Sale System in Tehran"
The "First Real Estate Pre-Sale System in Tehran" represents a significant innovation in the real estate industry, offering remarkable benefits to individuals and prospective property buyers in Tehran. This system acts as a bridge between sellers and buyers, providing easy access to properties of interest.
This system alleviates common concerns and challenges associated with the property-buying process, such as finding accurate and up-to-date information, estimating fair prices, and negotiating deals. Some key features of this system include:
1. **Precise Search**: The ability to search for properties based on criteria such as location, property type, price, size, and other specifications, allowing you to quickly find your desired property.
2. **Comprehensive Property Information**: Detailed and comprehensive property information, including photos, technical specifications, descriptions, and property maps, is provided.
3. **Negotiations and Consultations**: The system enables direct communication with sellers to negotiate prices and deal terms. Additionally, real estate consultants are available to help you make informed decisions about property purchases.
4. **Property Pre-Sale**: You have the opportunity to consider properties that have not yet been released to the market and benefit from fair prices during the pre-sale phase.
5. **Comparison of Options**: You can compare various options and make the best choice for your needs.
6. **Customer-Centric Services**: The system offers post-sale services, legal consultation, and credit facilities.
7. https://www.tehran-borj.ir
The "First Real Estate Pre-Sale System in Tehran" allows you to navigate the property market with ease and confidence, making it one of the prominent examples of innovation in the real estate industry. |
Shivagopi/Shiva-2.0 | 2023-09-30T10:26:19.000Z | [
"license:apache-2.0",
"region:us"
] | Shivagopi | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
imadhajaz/project | 2023-09-30T10:44:09.000Z | [
"region:us"
] | imadhajaz | null | null | null | 0 | 0 | Entry not found |
ivmilkov/MusicDemos | 2023-09-30T11:00:35.000Z | [
"license:apache-2.0",
"region:us"
] | ivmilkov | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
aswin1906/llama2-sql-instruct-2k | 2023-09-30T11:34:46.000Z | [
"region:us"
] | aswin1906 | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 998694
num_examples: 2000
download_size: 192228
dataset_size: 998694
---
# Dataset Card for "llama2-sql-instruct-2k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Admin08077/Featureextractor | 2023-09-30T12:00:05.000Z | [
"license:unknown",
"doi:10.57967/hf/1162",
"region:us"
] | Admin08077 | null | null | null | 0 | 0 | ---
license: unknown
---
|
duwuonline/ielts_science1_v1 | 2023-09-30T13:11:55.000Z | [
"license:unknown",
"region:us"
] | duwuonline | null | null | null | 0 | 0 | ---
license: unknown
---
|
VedantPadwal/sea_creatures | 2023-09-30T12:51:32.000Z | [
"region:us"
] | VedantPadwal | null | null | null | 0 | 0 | Entry not found |
Rutson/Oneus | 2023-09-30T13:04:12.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
Rutson/Plave | 2023-09-30T13:06:18.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
Rutson/Rania | 2023-09-30T13:16:27.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
Rutson/Seventeen | 2023-09-30T13:24:01.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
Rutson/Sistar | 2023-09-30T13:27:02.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
Rutson/SNSD | 2023-10-09T20:22:00.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
Rutson/T-ARA | 2023-09-30T13:53:37.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
Rutson/WayV | 2023-09-30T13:55:15.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
Rutson/Weeekly | 2023-09-30T13:56:24.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
Rutson/WekiMeki | 2023-09-30T14:02:23.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
kanoyo/Applio | 2023-09-30T14:02:04.000Z | [
"license:mit",
"region:us"
] | kanoyo | null | null | null | 0 | 0 | ---
license: mit
---
|
manu/french_5p | 2023-09-30T14:29:05.000Z | [
"region:us"
] | manu | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
- name: dataset_id
dtype: string
splits:
- name: train
num_bytes: 28720999458
num_examples: 44392012
- name: test
num_bytes: 50741966
num_examples: 4035
download_size: 15225609944
dataset_size: 28771741424
---
# Dataset Card for "french_5p"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Rutson/X1 | 2023-09-30T14:19:40.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
manu/french_5p_separate | 2023-09-30T14:39:53.000Z | [
"region:us"
] | manu | null | null | null | 0 | 0 | Entry not found |
Rutson/ZB1 | 2023-09-30T14:42:18.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
Rutson/Soloist | 2023-09-30T14:56:50.000Z | [
"region:us"
] | Rutson | null | null | null | 0 | 0 | Entry not found |
Onegafer/e5_finetuning_dataset_cosine | 2023-09-30T15:11:28.000Z | [
"region:us"
] | Onegafer | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: score
dtype: float64
- name: short
dtype: string
- name: query
dtype: string
splits:
- name: train
num_bytes: 85541460
num_examples: 33279
download_size: 1277308
dataset_size: 85541460
---
# Dataset Card for "e5_finetuning_dataset_cosine"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
vorstcavry/mymodel1 | 2023-09-30T15:10:29.000Z | [
"region:us"
] | vorstcavry | null | null | null | 0 | 0 | Entry not found |
SageLiao/guanaco-llama2-1k | 2023-09-30T15:23:24.000Z | [
"region:us"
] | SageLiao | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 1654448
num_examples: 1000
download_size: 0
dataset_size: 1654448
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "guanaco-llama2-1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
breadlicker45/test-chat | 2023-09-30T15:29:27.000Z | [
"region:us"
] | breadlicker45 | null | null | null | 0 | 0 | Entry not found |
voidraven/repo_name | 2023-09-30T15:32:31.000Z | [
"region:us"
] | voidraven | null | null | null | 0 | 0 | Entry not found |
neelblabla/enron_labeled_emails_with_subjects-llama2-7b_finetuning | 2023-10-01T18:34:26.000Z | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:en",
"region:us"
] | neelblabla | null | null | null | 0 | 0 | ---
task_categories:
- text-classification
language:
- en
pretty_name: enron(unprocessed)_labeled_prompts
size_categories:
- 1K<n<10K
--- |
kpopsoulmate/KPop-Voice-dataset | 2023-09-30T15:53:38.000Z | [
"region:us"
] | kpopsoulmate | null | null | null | 0 | 0 | This dataset is collected for training an AI model cover, or voice cloning. |
AnasHXH/SR_dataset | 2023-09-30T15:48:03.000Z | [
"license:openrail",
"region:us"
] | AnasHXH | null | null | null | 0 | 0 | ---
license: openrail
---
|
Glasshes/DebateV3 | 2023-09-30T15:51:07.000Z | [
"region:us"
] | Glasshes | null | null | null | 0 | 0 | Entry not found |
distil-whisper/tedlium-dev-test | 2023-09-30T16:15:07.000Z | [
"region:us"
] | distil-whisper | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: speaker_id
dtype: string
- name: gender
dtype:
class_label:
names:
'0': unknown
'1': female
'2': male
- name: file
dtype: string
- name: id
dtype: string
splits:
- name: validation
num_bytes: 197798071.0
num_examples: 591
- name: test
num_bytes: 352803076.375
num_examples: 1469
download_size: 549654154
dataset_size: 550601147.375
---
# Dataset Card for "tedlium-dev-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Falah/anime_art_descriptions | 2023-09-30T16:51:21.000Z | [
"region:us"
] | Falah | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: prompts
dtype: string
splits:
- name: train
num_bytes: 1515657
num_examples: 10000
download_size: 81702
dataset_size: 1515657
---
# Dataset Card for "anime_art_descriptions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Ciros/Bleach | 2023-10-02T12:59:24.000Z | [
"region:us"
] | Ciros | null | null | null | 0 | 0 | Entry not found |
sajib009/baad | 2023-09-30T17:10:55.000Z | [
"license:apache-2.0",
"region:us"
] | sajib009 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
kanoyo/req | 2023-09-30T17:16:23.000Z | [
"license:mit",
"region:us"
] | kanoyo | null | null | null | 0 | 0 | ---
license: mit
---
|
aswin1906/github-advisory-2023 | 2023-09-30T17:25:35.000Z | [
"license:apache-2.0",
"region:us"
] | aswin1906 | null | null | null | 1 | 0 | ---
license: apache-2.0
---
|
DoctorWho264/Pin | 2023-09-30T17:34:15.000Z | [
"region:us"
] | DoctorWho264 | null | null | null | 0 | 0 | Entry not found |
aswin1906/github-advisory-2022 | 2023-09-30T17:40:56.000Z | [
"license:apache-2.0",
"region:us"
] | aswin1906 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
aswin1906/github-advisory-2021.csv | 2023-09-30T17:41:36.000Z | [
"license:apache-2.0",
"region:us"
] | aswin1906 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
aswin1906/github-advisory-2020.csv | 2023-09-30T17:42:16.000Z | [
"license:apache-2.0",
"region:us"
] | aswin1906 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
aswin1906/github-advisory-2019.csv | 2023-09-30T17:43:03.000Z | [
"license:apache-2.0",
"region:us"
] | aswin1906 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
aswin1906/github-advisory-2018.csv | 2023-09-30T17:43:40.000Z | [
"license:apache-2.0",
"region:us"
] | aswin1906 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
aswin1906/github-advisory-2017.csv | 2023-09-30T17:44:13.000Z | [
"license:apache-2.0",
"region:us"
] | aswin1906 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
Andriusem/test4 | 2023-09-30T17:44:38.000Z | [
"region:us"
] | Andriusem | null | null | null | 0 | 0 | Entry not found |
Writer/Palmyra-instract-30 | 2023-09-30T18:36:00.000Z | [
"region:us"
] | Writer | null | null | null | 1 | 0 | Entry not found |
takaTyphoon/kanyesing | 2023-09-30T18:43:27.000Z | [
"region:us"
] | takaTyphoon | null | null | null | 0 | 0 | Entry not found |
bulibasha/azteca | 2023-09-30T19:02:25.000Z | [
"license:openrail",
"region:us"
] | bulibasha | null | null | null | 0 | 0 | ---
license: openrail
---
|
KonradSzafer/index-instructor-large-512-m512-all_repos_above_50_stars | 2023-09-30T19:13:38.000Z | [
"region:us"
] | KonradSzafer | null | null | null | 0 | 0 | Entry not found |
uyjh/ytgytgh | 2023-09-30T19:18:18.000Z | [
"license:apache-2.0",
"region:us"
] | uyjh | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
Fggd/openrail | 2023-09-30T19:25:05.000Z | [
"license:apache-2.0",
"region:us"
] | Fggd | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
KonradSzafer/index-instructor-large-812-m512-all_repos_above_50_stars | 2023-09-30T19:46:34.000Z | [
"region:us"
] | KonradSzafer | null | null | null | 0 | 0 | Entry not found |
Admin08077/2 | 2023-09-30T21:43:25.000Z | [
"license:unknown",
"region:us"
] | Admin08077 | null | null | null | 0 | 0 | ---
license: unknown
---
|
semeru/Galeras-3k_deduped | 2023-09-30T20:43:16.000Z | [
"region:us"
] | semeru | null | null | null | 0 | 0 | Entry not found |
bongo2112/SunBank-blender-outputs | 2023-10-02T05:32:15.000Z | [
"region:us"
] | bongo2112 | null | null | null | 0 | 0 | Entry not found |
AmelieSchreiber/2600K_binding_sites | 2023-10-01T01:23:43.000Z | [
"license:mit",
"region:us"
] | AmelieSchreiber | null | null | null | 0 | 0 | ---
license: mit
---
This dataset is curated from UniProt. The test set was created by selecting entire families of proteins to separate out at random.
The train/test split is approximately 80/20. All binding site and active site annotations were merged. All sequences longer than
1000 amino acids were split into non-overlapping chunks of 1000 residues or less. |
ShuhongZheng/MTVS | 2023-10-02T20:05:54.000Z | [
"arxiv:2309.17450",
"region:us"
] | ShuhongZheng | null | null | null | 0 | 0 | https://arxiv.org/abs/2309.17450 |
AnasHXH/Image_enhannce | 2023-10-08T21:36:17.000Z | [
"region:us"
] | AnasHXH | null | null | null | 0 | 0 | Entry not found |
nikchar/retrieval_verification_distilbert | 2023-09-30T21:48:42.000Z | [
"region:us"
] | nikchar | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: claim
dtype: string
- name: evidence_wiki_url
dtype: string
- name: text
dtype: string
- name: retrieved_evidence_title
sequence: string
- name: retrieved_evidence_text
sequence: string
- name: labels
dtype: int64
- name: Retrieval_Success
dtype: bool
- name: Predicted_Labels
dtype: int64
- name: Predicted_Labels_Each_doc
sequence: int64
splits:
- name: train
num_bytes: 73601741
num_examples: 11073
download_size: 34426496
dataset_size: 73601741
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "retrieval_verification_distilbert"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
AdminIAM/Boss | 2023-10-01T16:29:12.000Z | [
"license:unknown",
"doi:10.57967/hf/1176",
"region:us"
] | AdminIAM | null | null | null | 0 | 0 | ---
license: unknown
---
|
Keyar/Marcos | 2023-09-30T22:21:25.000Z | [
"region:us"
] | Keyar | null | null | null | 0 | 0 | Entry not found |
BoliviaBayArea/reuters-for-summarization | 2023-09-30T23:04:42.000Z | [
"region:us"
] | BoliviaBayArea | null | null | null | 0 | 0 | Reuters model for my projects |
manu/old_code_20b_separate | 2023-10-01T04:05:34.000Z | [
"region:us"
] | manu | null | null | null | 0 | 0 | Entry not found |
Kinqkc/autotrain-data-kcstitches | 2023-09-30T23:16:34.000Z | [
"doi:10.57967/hf/1171",
"region:us"
] | Kinqkc | null | null | null | 0 | 0 | Entry not found |
freQuensy23/russian_rebellion_historical_data | 2023-10-01T12:18:10.000Z | [
"task_categories:token-classification",
"size_categories:10K<n<100K",
"language:ru",
"language:en",
"license:apache-2.0",
"seq2seq",
"historical",
"russia",
"region:us"
] | freQuensy23 | null | null | null | 0 | 0 | ---
license: apache-2.0
dataset_info:
features:
- name: date
dtype: timestamp[ns]
- name: rebellion_info
dtype: int64
splits:
- name: train
num_bytes: 140256
num_examples: 8766
download_size: 79236
dataset_size: 140256
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- token-classification
language:
- ru
- en
tags:
- seq2seq
- historical
- russia
size_categories:
- 10K<n<100K
---
# FULLY OPENSOURCE NOW (apache license)
## Dataset short info
This dataset contains all the information about the mutinies or military coups that took place in the 21st century. The dataset has about 10 thousand records and has been compiled for a long time. In addition to the archival value, this information can be used to train models to work with sequences (RNN, LSTM etc) - for example, seq2seq models.
## Data format
file: `data/train-....parquet`
- date: str - date string in default python datetime format (ex. "2000-01-01T00:00:00")
- rebellion_info: int64 - did a rebellion happen then (1 yes, 0 - no) (ex 0) [other 18,446,744,073,709,551,615 int64 values can be use as labels in the future] |
kunishou/amenokaku-code-instruct | 2023-10-03T11:38:43.000Z | [
"license:other",
"region:us"
] | kunishou | null | null | null | 3 | 0 | ---
license: other
license_name: mixed-liscence
license_link: LICENSE
---
# AmenokakuCode-instruct
## 概要
- コードに特化した5.2KのInstructionデータセットです。
- データセットに含まれるデータは商用利用できるラインセンスが付与されたプログラミング学習コンテンツから収集、加工し作成しました(英語のコンテンツは日本語に自動翻訳し、翻訳の不自然な箇所を手動で修正)。
- また、ライセンスが明記されていない学習コンテンツについては権利者に個別に連絡を取り、本データセットへの掲載の許諾を得ております。
## データセット詳細
指示タスクの内訳としてはコード生成(code_generation)が1050レコード、コードの挙動確認(check_code_behavor)が150レコード、コードのバグ修正(code_fix)が4000レコードになります。
詳細な内訳は以下の通りになります。
|source name|num record|liscence|url|
|:----|:----|:----|:----|
|データサイエンス100本ノック(構造化データ加工編)(Python解答)|100|[MIT](https://github.com/The-Japan-DataScientist-Society/100knocks-preprocess/blob/master/LICENSE)|https://github.com/The-Japan-DataScientist-Society/100knocks-preprocess|
|データサイエンス100本ノック(構造化データ加工編)(SQL解答)|100|[MIT](https://github.com/rootassist/100knocks-preprocess-inSQLandPython-withColab/blob/master/LICENSE)|https://github.com/rootassist/100knocks-preprocess-inSQLandPython-withColab|
|画像処理100本ノック|100|[MIT](https://github.com/ryoppippi/Gasyori100knock/blob/master/LICENSE)|https://github.com/ryoppippi/Gasyori100knock|
|言語処理100本ノック2020|100|[MIT](https://github.com/nlp100/nlp100.github.io/blob/develop/LICENSE)<br>[MIT](https://github.com/upura/nlp100v2020/blob/master/LICENSE)|(問題) https://github.com/nlp100/nlp100.github.io<br>(解答) https://github.com/upura/nlp100v2020|
|Python初学者のためのpandas100本ノック※|100|AmenokakuCode Liscence|https://qiita.com/kunishou/items/bd5fad9a334f4f5be51c|
|Python初学者のためのPolars100本ノック※|100|AmenokakuCode Liscence|https://qiita.com/kunishou/items/1386d14a136f585e504e|
|100 Numpy Execieses|100|[MIT](https://github.com/rougier/numpy-100/blob/master/LICENSE.txt)|https://github.com/rougier/numpy-100|
|100 Julia Exercises|100|The Unliscence|https://github.com/RoyiAvital/Julia100Exercises|
|自作Python100本ノック|100|AmenokakuCode Liscence|https://qiita.com/ahpjop/items/373f807d68044cda1c9b|
|Python-for-Beginners-Solve-50-Exercises-Live|50|[MIT](https://github.com/garg10may/Python-for-Beginners-Solve-50-Exercises-Live/blob/master/LICENSE)|https://github.com/garg10may/Python-for-Beginners-Solve-50-Exercises-Live|
|R初学者のためのtidyverse100本ノック|100|AmenokakuCode Liscence|https://qiita.com/nekobo/items/cbf32a13637273f229da|
|JavaScript Questions|155|[MIT](https://github.com/lydiahallie/javascript-questions/blob/master/LICENSE)|https://github.com/lydiahallie/javascript-questions|
|Break-It-Fix-It|4,000|[MIT](https://github.com/michiyasunaga/BIFI/blob/main/LICENSE)|https://github.com/michiyasunaga/BIFI|
※ 私が過去に作成した学習コンテンツです。
## ライセンス
個々のデータのライセンスは収集元のライセンスに従うため、データセット全体では混合ライセンスになります。
また、データ自体にライセンスが明記されておらず個別に権利者に言語モデル学習用途でデータセットへの掲載許諾を取ったデータに関しては [AmenokakuCode Liscence](https://github.com/kunishou/amenokaku-code-instruct/blob/main/AmenokakuCode%20Liscence) というライセンスを付与しています。このライセンスは、言語モデルでの学習用途に限り自由にデータを利用することを許可するものになります(そのため、データ自体を販売したり、配布することは認めていません)。
## データセットの更新
データセットについては、商用利用可能なプログラミング学習コンテンツを見つけたら今後随時追加していきたいと思います。
**もし、有益なコンテンツを見つけたり、自身で作成した学習コンテンツを提供しても良いという方がおりましたら是非ご連絡下さい。**
## データセット名
Amenokaku は古事記に登場する[天迦久神](http://kojiki.kokugakuin.ac.jp/shinmei/amenokakunokami/)(あめのかくのかみ)という鹿の神様の名前を参考にしました。
## Github
https://github.com/kunishou/amenokaku-code-instruct |
morizon/test | 2023-10-01T02:10:56.000Z | [
"license:apache-2.0",
"region:us"
] | morizon | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
lukegamedev/Hu3cat | 2023-10-01T02:15:36.000Z | [
"region:us"
] | lukegamedev | null | null | null | 0 | 0 | Entry not found |
W1lson/SystemRequirements | 2023-10-01T02:57:58.000Z | [
"license:openrail",
"region:us"
] | W1lson | null | null | null | 0 | 0 | ---
license: openrail
---
|
manu/old_french_30b_separate | 2023-10-02T03:06:15.000Z | [
"region:us"
] | manu | null | null | null | 0 | 0 | Entry not found |
BangumiBase/swordartonline | 2023-10-01T11:28:55.000Z | [
"size_categories:10K<n<100K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 10K<n<100K
---
# Bangumi Image Base of Sword Art Online
This is the image base of bangumi Sword Art Online, we detected 148 characters, 14651 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 | 861 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 86 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 14 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 396 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 19 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 35 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 63 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 38 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 24 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 661 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 51 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 19 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 289 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 12 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 51 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 55 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 1146 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 110 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 52 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 40 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 24 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 124 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 254 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 84 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 48 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 267 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 122 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 103 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 121 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 60 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 64 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
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| 33 | 207 | [Download](33/dataset.zip) |  |  |  |  |  |  |  |  |
| 34 | 26 | [Download](34/dataset.zip) |  |  |  |  |  |  |  |  |
| 35 | 38 | [Download](35/dataset.zip) |  |  |  |  |  |  |  |  |
| 36 | 28 | [Download](36/dataset.zip) |  |  |  |  |  |  |  |  |
| 37 | 18 | [Download](37/dataset.zip) |  |  |  |  |  |  |  |  |
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| 42 | 149 | [Download](42/dataset.zip) |  |  |  |  |  |  |  |  |
| 43 | 2782 | [Download](43/dataset.zip) |  |  |  |  |  |  |  |  |
| 44 | 118 | [Download](44/dataset.zip) |  |  |  |  |  |  |  |  |
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| 48 | 134 | [Download](48/dataset.zip) |  |  |  |  |  |  |  |  |
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| 58 | 44 | [Download](58/dataset.zip) |  |  |  |  |  |  |  |  |
| 59 | 19 | [Download](59/dataset.zip) |  |  |  |  |  |  |  |  |
| 60 | 32 | [Download](60/dataset.zip) |  |  |  |  |  |  |  |  |
| 61 | 23 | [Download](61/dataset.zip) |  |  |  |  |  |  |  |  |
| 62 | 19 | [Download](62/dataset.zip) |  |  |  |  |  |  |  |  |
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| 67 | 20 | [Download](67/dataset.zip) |  |  |  |  |  |  |  |  |
| 68 | 57 | [Download](68/dataset.zip) |  |  |  |  |  |  |  |  |
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| 71 | 297 | [Download](71/dataset.zip) |  |  |  |  |  |  |  |  |
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| 77 | 163 | [Download](77/dataset.zip) |  |  |  |  |  |  |  |  |
| 78 | 7 | [Download](78/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 79 | 27 | [Download](79/dataset.zip) |  |  |  |  |  |  |  |  |
| 80 | 28 | [Download](80/dataset.zip) |  |  |  |  |  |  |  |  |
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| 82 | 49 | [Download](82/dataset.zip) |  |  |  |  |  |  |  |  |
| 83 | 159 | [Download](83/dataset.zip) |  |  |  |  |  |  |  |  |
| 84 | 12 | [Download](84/dataset.zip) |  |  |  |  |  |  |  |  |
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| 87 | 63 | [Download](87/dataset.zip) |  |  |  |  |  |  |  |  |
| 88 | 30 | [Download](88/dataset.zip) |  |  |  |  |  |  |  |  |
| 89 | 64 | [Download](89/dataset.zip) |  |  |  |  |  |  |  |  |
| 90 | 22 | [Download](90/dataset.zip) |  |  |  |  |  |  |  |  |
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| 95 | 43 | [Download](95/dataset.zip) |  |  |  |  |  |  |  |  |
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| 100 | 15 | [Download](100/dataset.zip) |  |  |  |  |  |  |  |  |
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| 102 | 8 | [Download](102/dataset.zip) |  |  |  |  |  |  |  |  |
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| 105 | 118 | [Download](105/dataset.zip) |  |  |  |  |  |  |  |  |
| 106 | 10 | [Download](106/dataset.zip) |  |  |  |  |  |  |  |  |
| 107 | 8 | [Download](107/dataset.zip) |  |  |  |  |  |  |  |  |
| 108 | 14 | [Download](108/dataset.zip) |  |  |  |  |  |  |  |  |
| 109 | 12 | [Download](109/dataset.zip) |  |  |  |  |  |  |  |  |
| 110 | 7 | [Download](110/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 111 | 25 | [Download](111/dataset.zip) |  |  |  |  |  |  |  |  |
| 112 | 20 | [Download](112/dataset.zip) |  |  |  |  |  |  |  |  |
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| 116 | 98 | [Download](116/dataset.zip) |  |  |  |  |  |  |  |  |
| 117 | 33 | [Download](117/dataset.zip) |  |  |  |  |  |  |  |  |
| 118 | 15 | [Download](118/dataset.zip) |  |  |  |  |  |  |  |  |
| 119 | 15 | [Download](119/dataset.zip) |  |  |  |  |  |  |  |  |
| 120 | 17 | [Download](120/dataset.zip) |  |  |  |  |  |  |  |  |
| 121 | 7 | [Download](121/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 122 | 16 | [Download](122/dataset.zip) |  |  |  |  |  |  |  |  |
| 123 | 38 | [Download](123/dataset.zip) |  |  |  |  |  |  |  |  |
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| 128 | 60 | [Download](128/dataset.zip) |  |  |  |  |  |  |  |  |
| 129 | 223 | [Download](129/dataset.zip) |  |  |  |  |  |  |  |  |
| 130 | 6 | [Download](130/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 131 | 176 | [Download](131/dataset.zip) |  |  |  |  |  |  |  |  |
| 132 | 11 | [Download](132/dataset.zip) |  |  |  |  |  |  |  |  |
| 133 | 7 | [Download](133/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 134 | 13 | [Download](134/dataset.zip) |  |  |  |  |  |  |  |  |
| 135 | 105 | [Download](135/dataset.zip) |  |  |  |  |  |  |  |  |
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| 137 | 20 | [Download](137/dataset.zip) |  |  |  |  |  |  |  |  |
| 138 | 14 | [Download](138/dataset.zip) |  |  |  |  |  |  |  |  |
| 139 | 13 | [Download](139/dataset.zip) |  |  |  |  |  |  |  |  |
| 140 | 48 | [Download](140/dataset.zip) |  |  |  |  |  |  |  |  |
| 141 | 9 | [Download](141/dataset.zip) |  |  |  |  |  |  |  |  |
| 142 | 18 | [Download](142/dataset.zip) |  |  |  |  |  |  |  |  |
| 143 | 18 | [Download](143/dataset.zip) |  |  |  |  |  |  |  |  |
| 144 | 7 | [Download](144/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 145 | 7 | [Download](145/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 146 | 18 | [Download](146/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 617 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
yweslakarep123/finetuned-bert-mrpc | 2023-10-01T03:39:33.000Z | [
"license:apache-2.0",
"region:us"
] | yweslakarep123 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
Carmeninkunming/fast-repo-kaggle | 2023-10-09T14:43:26.000Z | [
"region:us"
] | Carmeninkunming | null | null | null | 0 | 0 | Entry not found |
jskajd/yin | 2023-10-01T03:54:30.000Z | [
"region:us"
] | jskajd | null | null | null | 0 | 0 | Entry not found |
Valarmathy/autotrain-data-imagine | 2023-10-01T17:11:32.000Z | [
"region:us"
] | Valarmathy | null | null | null | 0 | 0 | Entry not found |
diegomiranda/small_dataset | 2023-10-01T04:59:22.000Z | [
"region:us"
] | diegomiranda | null | @article{bender2023learning,
title={Learning to Taste: A Multimodal Wine Dataset},
author={Bender, Thoranna and S{\o}rensen, Simon M{\o}e and Kashani, Alireza and Hjorleifsson, K Eldjarn and Hyldig, Grethe and Hauberg, S{\o}ren and Belongie, Serge and Warburg, Frederik},
journal={arXiv preprint arXiv:2308.16900},
year={2023}
} | null | 0 | 0 | Entry not found |
ogiwemy/autotrain-data-rekomendasi-mata-kuliah | 2023-10-01T04:54:46.000Z | [
"region:us"
] | ogiwemy | null | null | null | 0 | 0 | Entry not found |
JacknJil/Dodit_Bot | 2023-10-01T04:30:08.000Z | [
"region:us"
] | JacknJil | null | null | null | 0 | 0 | Entry not found |
DamarJati/NSFW-filter-DecentScan | 2023-10-02T09:54:13.000Z | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"license:openrail",
"not-for-all-audiences",
"NSFW",
"region:us"
] | DamarJati | null | null | null | 0 | 0 | ---
task_categories:
- image-classification
license: openrail
tags:
- not-for-all-audiences
- NSFW
pretty_name: Decent Scan
size_categories:
- 1K<n<10K
interfrance: true
--- |
W1lson/dataset1 | 2023-10-01T04:52:28.000Z | [
"region:us"
] | W1lson | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: data
list:
- name: title
dtype: string
- name: paragraphs
list:
- name: context
dtype: string
- name: qas
list:
- name: question
dtype: string
- name: id
dtype: string
- name: answers
list:
- name: text
dtype: string
- name: answer_start
dtype: int64
splits:
- name: train
num_bytes: 557
num_examples: 1
download_size: 5526
dataset_size: 557
---
# Dataset Card for "dataset1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
atfat507/tot | 2023-10-01T05:04:48.000Z | [
"region:us"
] | atfat507 | null | null | null | 0 | 0 | Entry not found |
emny/indo_squad_dev_v2 | 2023-10-01T05:07:57.000Z | [
"license:apache-2.0",
"region:us"
] | emny | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
dougiefresh/awful_rust | 2023-10-01T05:16:06.000Z | [
"region:us"
] | dougiefresh | null | null | null | 0 | 0 | Entry not found |
BangumiBase/mirainikki | 2023-10-01T06:49:56.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Mirai Nikki
This is the image base of bangumi Mirai Nikki, we detected 27 characters, 2067 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 | 626 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 105 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 90 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 42 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 37 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 10 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 35 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 12 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 46 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 49 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 59 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 18 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 10 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 14 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 28 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 48 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 351 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 39 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 70 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 12 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 76 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 17 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 20 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 6 | [Download](23/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 24 | 25 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 6 | [Download](25/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| noise | 216 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
tanvirsrbd1/dataset1_two_app_annotated | 2023-10-01T05:30:53.000Z | [
"region:us"
] | tanvirsrbd1 | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: xml
dtype: string
- name: html
dtype: string
- name: response
dtype: string
- name: annotated
dtype: string
splits:
- name: train
num_bytes: 1934116.0
num_examples: 68
download_size: 266133
dataset_size: 1934116.0
---
# Dataset Card for "dataset1_two_app_annotated"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
tanvirsrbd1/dataset1_two_app_annotated1 | 2023-10-01T05:32:23.000Z | [
"region:us"
] | tanvirsrbd1 | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: xml
dtype: string
- name: html
dtype: string
- name: response
dtype: string
- name: annotated
dtype: string
splits:
- name: train
num_bytes: 1894327.1470588236
num_examples: 66
download_size: 265891
dataset_size: 1894327.1470588236
---
# Dataset Card for "dataset1_two_app_annotated1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
TobiasKG/SonicDreamcastEra | 2023-10-01T05:44:21.000Z | [
"region:us"
] | TobiasKG | null | null | null | 0 | 0 | Entry not found |
totally-not-an-llm/airoboros-1.4.1-graded | 2023-10-01T06:00:00.000Z | [
"license:other",
"region:us"
] | totally-not-an-llm | null | null | null | 0 | 0 | ---
license: other
license_name: airoboros
license_link: LICENSE
---
|
fillUp/people | 2023-10-01T06:08:37.000Z | [
"region:us"
] | fillUp | null | null | null | 0 | 0 | Entry not found |
ferdIF/ferd-dataset | 2023-10-01T06:23:37.000Z | [
"region:us"
] | ferdIF | null | null | null | 0 | 0 | Entry not found |
ChristophSchuhmann/OpenCLIP-B32-embs-captions-367M | 2023-10-01T21:09:53.000Z | [
"license:apache-2.0",
"region:us"
] | ChristophSchuhmann | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
pphuc25/vlsp2023-test1 | 2023-10-01T07:15:06.000Z | [
"region:us"
] | pphuc25 | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: audio
dtype: audio
splits:
- name: train
num_bytes: 5246006958.0
num_examples: 50000
download_size: 5764003517
dataset_size: 5246006958.0
---
# Dataset Card for "vlsp2023-test1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
kevinrego/dgen-clean | 2023-10-01T07:26:22.000Z | [
"license:openrail",
"region:us"
] | kevinrego | null | null | null | 0 | 0 | ---
license: openrail
---
|
kirito8963/khoabatocomgenow | 2023-10-01T13:44:31.000Z | [
"license:apache-2.0",
"region:us"
] | kirito8963 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
4eJIoBek/Minecraft-skins-26k | 2023-10-01T07:41:10.000Z | [
"license:unknown",
"region:us"
] | 4eJIoBek | null | null | null | 0 | 0 | ---
license: unknown
---
|
multi-train/emb_train_v1_1 | 2023-10-01T16:40:37.000Z | [
"region:us"
] | multi-train | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: query
dtype: string
- name: pos
sequence: string
- name: neg
sequence: string
- name: task
dtype: string
- name: instruction
struct:
- name: query
dtype: string
- name: pos
dtype: string
- name: neg
dtype: string
splits:
- name: train
num_bytes: 1246162354
num_examples: 730000
download_size: 526319699
dataset_size: 1246162354
---
# Dataset Card for "emb_train_v1_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
tazarov/test | 2023-10-01T08:16:45.000Z | [
"region:us"
] | tazarov | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: id
dtype: string
- name: embedding
sequence: float32
- name: document
dtype: string
- name: metadata._id
dtype: string
- name: metadata.title
dtype: string
splits:
- name: train
num_bytes: 660267
num_examples: 100
download_size: 947796
dataset_size: 660267
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Arabic-Clip/Arabic_dataset_1M_translated_feather_format | 2023-10-01T07:43:46.000Z | [
"region:us"
] | Arabic-Clip | null | null | null | 0 | 0 | Entry not found |
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