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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) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 86 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 14 | [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 | 396 | [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 | 19 | [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 | 35 | [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 | 63 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 38 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 24 | [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 | 661 | [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 | 51 | [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 | 19 | [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 | 289 | [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 | 12 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 51 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 55 | [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 | 1146 | [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 | 110 | [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 | 52 | [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 | 40 | [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 | 24 | [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 | 124 | [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 | 254 | [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 | 84 | [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 | 48 | [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 | 267 | [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 | 122 | [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 | 103 | [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 | 121 | [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 | 60 | [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 | 64 | [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 | 48 | [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 | 46 | [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 | 207 | [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 | 26 | [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 | 38 | [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 | 28 | [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 | 18 | [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 | 19 | [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 | 15 | [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 | 31 | [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 | 36 | [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 | 149 | [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 | 2782 | [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 | 118 | [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 | 140 | [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 | 44 | [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 | 280 | [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 | 134 | [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 | 194 | [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 | 160 | [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 | 33 | [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 | 105 | [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 | 67 | [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 | 21 | [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 | 29 | [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 | 30 | [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 | 45 | [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 | 44 | [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 | 19 | [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 | 32 | [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 | 23 | [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 | 19 | [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 | 36 | [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 | 33 | [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 | 19 | [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 | 37 | [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 | 20 | [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 | 57 | [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 | 95 | [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) | ![preview 7](69/preview_7.png) | ![preview 8](69/preview_8.png) | | 70 | 66 | [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 | 297 | [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 | 22 | [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 | 33 | [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 | 168 | [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 | 23 | [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 | 104 | [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 | 163 | [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) | ![preview 7](77/preview_7.png) | ![preview 8](77/preview_8.png) | | 78 | 7 | [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) | N/A | | 79 | 27 | [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 | 28 | [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 | 79 | [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 | 49 | [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 | 159 | [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 | 12 | [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 | 15 | [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) | ![preview 8](85/preview_8.png) | | 86 | 17 | [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 | 63 | [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) | ![preview 7](87/preview_7.png) | ![preview 8](87/preview_8.png) | | 88 | 30 | [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) | ![preview 7](88/preview_7.png) | ![preview 8](88/preview_8.png) | | 89 | 64 | [Download](89/dataset.zip) | ![preview 1](89/preview_1.png) | ![preview 2](89/preview_2.png) | ![preview 3](89/preview_3.png) | ![preview 4](89/preview_4.png) | ![preview 5](89/preview_5.png) | ![preview 6](89/preview_6.png) | ![preview 7](89/preview_7.png) | ![preview 8](89/preview_8.png) | | 90 | 22 | [Download](90/dataset.zip) | ![preview 1](90/preview_1.png) | ![preview 2](90/preview_2.png) | ![preview 3](90/preview_3.png) | ![preview 4](90/preview_4.png) | ![preview 5](90/preview_5.png) | ![preview 6](90/preview_6.png) | ![preview 7](90/preview_7.png) | ![preview 8](90/preview_8.png) | | 91 | 90 | [Download](91/dataset.zip) | ![preview 1](91/preview_1.png) | ![preview 2](91/preview_2.png) | ![preview 3](91/preview_3.png) | ![preview 4](91/preview_4.png) | ![preview 5](91/preview_5.png) | ![preview 6](91/preview_6.png) | ![preview 7](91/preview_7.png) | ![preview 8](91/preview_8.png) | | 92 | 16 | [Download](92/dataset.zip) | ![preview 1](92/preview_1.png) | ![preview 2](92/preview_2.png) | ![preview 3](92/preview_3.png) | ![preview 4](92/preview_4.png) | ![preview 5](92/preview_5.png) | ![preview 6](92/preview_6.png) | ![preview 7](92/preview_7.png) | ![preview 8](92/preview_8.png) | | 93 | 25 | [Download](93/dataset.zip) | ![preview 1](93/preview_1.png) | ![preview 2](93/preview_2.png) | ![preview 3](93/preview_3.png) | ![preview 4](93/preview_4.png) | ![preview 5](93/preview_5.png) | ![preview 6](93/preview_6.png) | ![preview 7](93/preview_7.png) | ![preview 8](93/preview_8.png) | | 94 | 80 | [Download](94/dataset.zip) | ![preview 1](94/preview_1.png) | ![preview 2](94/preview_2.png) | ![preview 3](94/preview_3.png) | ![preview 4](94/preview_4.png) | ![preview 5](94/preview_5.png) | ![preview 6](94/preview_6.png) | ![preview 7](94/preview_7.png) | ![preview 8](94/preview_8.png) | | 95 | 43 | [Download](95/dataset.zip) | ![preview 1](95/preview_1.png) | ![preview 2](95/preview_2.png) | ![preview 3](95/preview_3.png) | ![preview 4](95/preview_4.png) | ![preview 5](95/preview_5.png) | ![preview 6](95/preview_6.png) | ![preview 7](95/preview_7.png) | ![preview 8](95/preview_8.png) | | 96 | 14 | [Download](96/dataset.zip) | ![preview 1](96/preview_1.png) | ![preview 2](96/preview_2.png) | ![preview 3](96/preview_3.png) | ![preview 4](96/preview_4.png) | ![preview 5](96/preview_5.png) | ![preview 6](96/preview_6.png) | ![preview 7](96/preview_7.png) | ![preview 8](96/preview_8.png) | | 97 | 73 | [Download](97/dataset.zip) | ![preview 1](97/preview_1.png) | ![preview 2](97/preview_2.png) | ![preview 3](97/preview_3.png) | ![preview 4](97/preview_4.png) | ![preview 5](97/preview_5.png) | ![preview 6](97/preview_6.png) | ![preview 7](97/preview_7.png) | ![preview 8](97/preview_8.png) | | 98 | 24 | [Download](98/dataset.zip) | ![preview 1](98/preview_1.png) | ![preview 2](98/preview_2.png) | ![preview 3](98/preview_3.png) | ![preview 4](98/preview_4.png) | ![preview 5](98/preview_5.png) | ![preview 6](98/preview_6.png) | ![preview 7](98/preview_7.png) | ![preview 8](98/preview_8.png) | | 99 | 31 | [Download](99/dataset.zip) | ![preview 1](99/preview_1.png) | ![preview 2](99/preview_2.png) | ![preview 3](99/preview_3.png) | ![preview 4](99/preview_4.png) | ![preview 5](99/preview_5.png) | ![preview 6](99/preview_6.png) | ![preview 7](99/preview_7.png) | ![preview 8](99/preview_8.png) | | 100 | 15 | [Download](100/dataset.zip) | ![preview 1](100/preview_1.png) | ![preview 2](100/preview_2.png) | ![preview 3](100/preview_3.png) | ![preview 4](100/preview_4.png) | ![preview 5](100/preview_5.png) | ![preview 6](100/preview_6.png) | ![preview 7](100/preview_7.png) | ![preview 8](100/preview_8.png) | | 101 | 34 | [Download](101/dataset.zip) | ![preview 1](101/preview_1.png) | ![preview 2](101/preview_2.png) | ![preview 3](101/preview_3.png) | ![preview 4](101/preview_4.png) | ![preview 5](101/preview_5.png) | ![preview 6](101/preview_6.png) | ![preview 7](101/preview_7.png) | ![preview 8](101/preview_8.png) | | 102 | 8 | [Download](102/dataset.zip) | ![preview 1](102/preview_1.png) | ![preview 2](102/preview_2.png) | ![preview 3](102/preview_3.png) | ![preview 4](102/preview_4.png) | ![preview 5](102/preview_5.png) | ![preview 6](102/preview_6.png) | ![preview 7](102/preview_7.png) | ![preview 8](102/preview_8.png) | | 103 | 20 | [Download](103/dataset.zip) | ![preview 1](103/preview_1.png) | ![preview 2](103/preview_2.png) | ![preview 3](103/preview_3.png) | ![preview 4](103/preview_4.png) | ![preview 5](103/preview_5.png) | ![preview 6](103/preview_6.png) | ![preview 7](103/preview_7.png) | ![preview 8](103/preview_8.png) | | 104 | 14 | [Download](104/dataset.zip) | ![preview 1](104/preview_1.png) | ![preview 2](104/preview_2.png) | ![preview 3](104/preview_3.png) | ![preview 4](104/preview_4.png) | ![preview 5](104/preview_5.png) | ![preview 6](104/preview_6.png) | ![preview 7](104/preview_7.png) | ![preview 8](104/preview_8.png) | | 105 | 118 | [Download](105/dataset.zip) | ![preview 1](105/preview_1.png) | ![preview 2](105/preview_2.png) | ![preview 3](105/preview_3.png) | ![preview 4](105/preview_4.png) | ![preview 5](105/preview_5.png) | ![preview 6](105/preview_6.png) | ![preview 7](105/preview_7.png) | ![preview 8](105/preview_8.png) | | 106 | 10 | [Download](106/dataset.zip) | ![preview 1](106/preview_1.png) | ![preview 2](106/preview_2.png) | ![preview 3](106/preview_3.png) | ![preview 4](106/preview_4.png) | ![preview 5](106/preview_5.png) | ![preview 6](106/preview_6.png) | ![preview 7](106/preview_7.png) | ![preview 8](106/preview_8.png) | | 107 | 8 | [Download](107/dataset.zip) | ![preview 1](107/preview_1.png) | ![preview 2](107/preview_2.png) | ![preview 3](107/preview_3.png) | ![preview 4](107/preview_4.png) | ![preview 5](107/preview_5.png) | ![preview 6](107/preview_6.png) | ![preview 7](107/preview_7.png) | ![preview 8](107/preview_8.png) | | 108 | 14 | [Download](108/dataset.zip) | ![preview 1](108/preview_1.png) | ![preview 2](108/preview_2.png) | ![preview 3](108/preview_3.png) | ![preview 4](108/preview_4.png) | ![preview 5](108/preview_5.png) | ![preview 6](108/preview_6.png) | ![preview 7](108/preview_7.png) | ![preview 8](108/preview_8.png) | | 109 | 12 | [Download](109/dataset.zip) | ![preview 1](109/preview_1.png) | ![preview 2](109/preview_2.png) | ![preview 3](109/preview_3.png) | ![preview 4](109/preview_4.png) | ![preview 5](109/preview_5.png) | ![preview 6](109/preview_6.png) | ![preview 7](109/preview_7.png) | ![preview 8](109/preview_8.png) | | 110 | 7 | [Download](110/dataset.zip) | ![preview 1](110/preview_1.png) | ![preview 2](110/preview_2.png) | ![preview 3](110/preview_3.png) | ![preview 4](110/preview_4.png) | ![preview 5](110/preview_5.png) | ![preview 6](110/preview_6.png) | ![preview 7](110/preview_7.png) | N/A | | 111 | 25 | [Download](111/dataset.zip) | ![preview 1](111/preview_1.png) | ![preview 2](111/preview_2.png) | ![preview 3](111/preview_3.png) | ![preview 4](111/preview_4.png) | ![preview 5](111/preview_5.png) | ![preview 6](111/preview_6.png) | ![preview 7](111/preview_7.png) | ![preview 8](111/preview_8.png) | | 112 | 20 | [Download](112/dataset.zip) | ![preview 1](112/preview_1.png) | ![preview 2](112/preview_2.png) | ![preview 3](112/preview_3.png) | ![preview 4](112/preview_4.png) | ![preview 5](112/preview_5.png) | ![preview 6](112/preview_6.png) | ![preview 7](112/preview_7.png) | ![preview 8](112/preview_8.png) | | 113 | 13 | [Download](113/dataset.zip) | ![preview 1](113/preview_1.png) | ![preview 2](113/preview_2.png) | ![preview 3](113/preview_3.png) | ![preview 4](113/preview_4.png) | ![preview 5](113/preview_5.png) | ![preview 6](113/preview_6.png) | ![preview 7](113/preview_7.png) | ![preview 8](113/preview_8.png) | | 114 | 48 | [Download](114/dataset.zip) | ![preview 1](114/preview_1.png) | ![preview 2](114/preview_2.png) | ![preview 3](114/preview_3.png) | ![preview 4](114/preview_4.png) | ![preview 5](114/preview_5.png) | ![preview 6](114/preview_6.png) | ![preview 7](114/preview_7.png) | ![preview 8](114/preview_8.png) | | 115 | 41 | [Download](115/dataset.zip) | ![preview 1](115/preview_1.png) | ![preview 2](115/preview_2.png) | ![preview 3](115/preview_3.png) | ![preview 4](115/preview_4.png) | ![preview 5](115/preview_5.png) | ![preview 6](115/preview_6.png) | ![preview 7](115/preview_7.png) | ![preview 8](115/preview_8.png) | | 116 | 98 | [Download](116/dataset.zip) | ![preview 1](116/preview_1.png) | ![preview 2](116/preview_2.png) | ![preview 3](116/preview_3.png) | ![preview 4](116/preview_4.png) | ![preview 5](116/preview_5.png) | ![preview 6](116/preview_6.png) | ![preview 7](116/preview_7.png) | ![preview 8](116/preview_8.png) | | 117 | 33 | [Download](117/dataset.zip) | ![preview 1](117/preview_1.png) | ![preview 2](117/preview_2.png) | ![preview 3](117/preview_3.png) | ![preview 4](117/preview_4.png) | ![preview 5](117/preview_5.png) | ![preview 6](117/preview_6.png) | ![preview 7](117/preview_7.png) | ![preview 8](117/preview_8.png) | | 118 | 15 | [Download](118/dataset.zip) | ![preview 1](118/preview_1.png) | ![preview 2](118/preview_2.png) | ![preview 3](118/preview_3.png) | ![preview 4](118/preview_4.png) | ![preview 5](118/preview_5.png) | ![preview 6](118/preview_6.png) | ![preview 7](118/preview_7.png) | ![preview 8](118/preview_8.png) | | 119 | 15 | [Download](119/dataset.zip) | ![preview 1](119/preview_1.png) | ![preview 2](119/preview_2.png) | ![preview 3](119/preview_3.png) | ![preview 4](119/preview_4.png) | ![preview 5](119/preview_5.png) | ![preview 6](119/preview_6.png) | ![preview 7](119/preview_7.png) | ![preview 8](119/preview_8.png) | | 120 | 17 | [Download](120/dataset.zip) | ![preview 1](120/preview_1.png) | ![preview 2](120/preview_2.png) | ![preview 3](120/preview_3.png) | ![preview 4](120/preview_4.png) | ![preview 5](120/preview_5.png) | ![preview 6](120/preview_6.png) | ![preview 7](120/preview_7.png) | ![preview 8](120/preview_8.png) | | 121 | 7 | [Download](121/dataset.zip) | ![preview 1](121/preview_1.png) | ![preview 2](121/preview_2.png) | ![preview 3](121/preview_3.png) | ![preview 4](121/preview_4.png) | ![preview 5](121/preview_5.png) | ![preview 6](121/preview_6.png) | ![preview 7](121/preview_7.png) | N/A | | 122 | 16 | [Download](122/dataset.zip) | ![preview 1](122/preview_1.png) | ![preview 2](122/preview_2.png) | ![preview 3](122/preview_3.png) | ![preview 4](122/preview_4.png) | ![preview 5](122/preview_5.png) | ![preview 6](122/preview_6.png) | ![preview 7](122/preview_7.png) | ![preview 8](122/preview_8.png) | | 123 | 38 | [Download](123/dataset.zip) | ![preview 1](123/preview_1.png) | ![preview 2](123/preview_2.png) | ![preview 3](123/preview_3.png) | ![preview 4](123/preview_4.png) | ![preview 5](123/preview_5.png) | ![preview 6](123/preview_6.png) | ![preview 7](123/preview_7.png) | ![preview 8](123/preview_8.png) | | 124 | 10 | [Download](124/dataset.zip) | ![preview 1](124/preview_1.png) | ![preview 2](124/preview_2.png) | ![preview 3](124/preview_3.png) | ![preview 4](124/preview_4.png) | ![preview 5](124/preview_5.png) | ![preview 6](124/preview_6.png) | ![preview 7](124/preview_7.png) | ![preview 8](124/preview_8.png) | | 125 | 13 | [Download](125/dataset.zip) | ![preview 1](125/preview_1.png) | ![preview 2](125/preview_2.png) | ![preview 3](125/preview_3.png) | ![preview 4](125/preview_4.png) | ![preview 5](125/preview_5.png) | ![preview 6](125/preview_6.png) | ![preview 7](125/preview_7.png) | ![preview 8](125/preview_8.png) | | 126 | 38 | [Download](126/dataset.zip) | ![preview 1](126/preview_1.png) | ![preview 2](126/preview_2.png) | ![preview 3](126/preview_3.png) | ![preview 4](126/preview_4.png) | ![preview 5](126/preview_5.png) | ![preview 6](126/preview_6.png) | ![preview 7](126/preview_7.png) | ![preview 8](126/preview_8.png) | | 127 | 17 | [Download](127/dataset.zip) | ![preview 1](127/preview_1.png) | ![preview 2](127/preview_2.png) | ![preview 3](127/preview_3.png) | ![preview 4](127/preview_4.png) | ![preview 5](127/preview_5.png) | ![preview 6](127/preview_6.png) | ![preview 7](127/preview_7.png) | ![preview 8](127/preview_8.png) | | 128 | 60 | [Download](128/dataset.zip) | ![preview 1](128/preview_1.png) | ![preview 2](128/preview_2.png) | ![preview 3](128/preview_3.png) | ![preview 4](128/preview_4.png) | ![preview 5](128/preview_5.png) | ![preview 6](128/preview_6.png) | ![preview 7](128/preview_7.png) | ![preview 8](128/preview_8.png) | | 129 | 223 | [Download](129/dataset.zip) | ![preview 1](129/preview_1.png) | ![preview 2](129/preview_2.png) | ![preview 3](129/preview_3.png) | ![preview 4](129/preview_4.png) | ![preview 5](129/preview_5.png) | ![preview 6](129/preview_6.png) | ![preview 7](129/preview_7.png) | ![preview 8](129/preview_8.png) | | 130 | 6 | [Download](130/dataset.zip) | ![preview 1](130/preview_1.png) | ![preview 2](130/preview_2.png) | ![preview 3](130/preview_3.png) | ![preview 4](130/preview_4.png) | ![preview 5](130/preview_5.png) | ![preview 6](130/preview_6.png) | N/A | N/A | | 131 | 176 | [Download](131/dataset.zip) | ![preview 1](131/preview_1.png) | ![preview 2](131/preview_2.png) | ![preview 3](131/preview_3.png) | ![preview 4](131/preview_4.png) | ![preview 5](131/preview_5.png) | ![preview 6](131/preview_6.png) | ![preview 7](131/preview_7.png) | ![preview 8](131/preview_8.png) | | 132 | 11 | [Download](132/dataset.zip) | ![preview 1](132/preview_1.png) | ![preview 2](132/preview_2.png) | ![preview 3](132/preview_3.png) | ![preview 4](132/preview_4.png) | ![preview 5](132/preview_5.png) | ![preview 6](132/preview_6.png) | ![preview 7](132/preview_7.png) | ![preview 8](132/preview_8.png) | | 133 | 7 | [Download](133/dataset.zip) | ![preview 1](133/preview_1.png) | ![preview 2](133/preview_2.png) | ![preview 3](133/preview_3.png) | ![preview 4](133/preview_4.png) | ![preview 5](133/preview_5.png) | ![preview 6](133/preview_6.png) | ![preview 7](133/preview_7.png) | N/A | | 134 | 13 | [Download](134/dataset.zip) | ![preview 1](134/preview_1.png) | ![preview 2](134/preview_2.png) | ![preview 3](134/preview_3.png) | ![preview 4](134/preview_4.png) | ![preview 5](134/preview_5.png) | ![preview 6](134/preview_6.png) | ![preview 7](134/preview_7.png) | ![preview 8](134/preview_8.png) | | 135 | 105 | [Download](135/dataset.zip) | ![preview 1](135/preview_1.png) | ![preview 2](135/preview_2.png) | ![preview 3](135/preview_3.png) | ![preview 4](135/preview_4.png) | ![preview 5](135/preview_5.png) | ![preview 6](135/preview_6.png) | ![preview 7](135/preview_7.png) | ![preview 8](135/preview_8.png) | | 136 | 123 | [Download](136/dataset.zip) | ![preview 1](136/preview_1.png) | ![preview 2](136/preview_2.png) | ![preview 3](136/preview_3.png) | ![preview 4](136/preview_4.png) | ![preview 5](136/preview_5.png) | ![preview 6](136/preview_6.png) | ![preview 7](136/preview_7.png) | ![preview 8](136/preview_8.png) | | 137 | 20 | [Download](137/dataset.zip) | ![preview 1](137/preview_1.png) | ![preview 2](137/preview_2.png) | ![preview 3](137/preview_3.png) | ![preview 4](137/preview_4.png) | ![preview 5](137/preview_5.png) | ![preview 6](137/preview_6.png) | ![preview 7](137/preview_7.png) | ![preview 8](137/preview_8.png) | | 138 | 14 | [Download](138/dataset.zip) | ![preview 1](138/preview_1.png) | ![preview 2](138/preview_2.png) | ![preview 3](138/preview_3.png) | ![preview 4](138/preview_4.png) | ![preview 5](138/preview_5.png) | ![preview 6](138/preview_6.png) | ![preview 7](138/preview_7.png) | ![preview 8](138/preview_8.png) | | 139 | 13 | [Download](139/dataset.zip) | ![preview 1](139/preview_1.png) | ![preview 2](139/preview_2.png) | ![preview 3](139/preview_3.png) | ![preview 4](139/preview_4.png) | ![preview 5](139/preview_5.png) | ![preview 6](139/preview_6.png) | ![preview 7](139/preview_7.png) | ![preview 8](139/preview_8.png) | | 140 | 48 | [Download](140/dataset.zip) | ![preview 1](140/preview_1.png) | ![preview 2](140/preview_2.png) | ![preview 3](140/preview_3.png) | ![preview 4](140/preview_4.png) | ![preview 5](140/preview_5.png) | ![preview 6](140/preview_6.png) | ![preview 7](140/preview_7.png) | ![preview 8](140/preview_8.png) | | 141 | 9 | [Download](141/dataset.zip) | ![preview 1](141/preview_1.png) | ![preview 2](141/preview_2.png) | ![preview 3](141/preview_3.png) | ![preview 4](141/preview_4.png) | ![preview 5](141/preview_5.png) | ![preview 6](141/preview_6.png) | ![preview 7](141/preview_7.png) | ![preview 8](141/preview_8.png) | | 142 | 18 | [Download](142/dataset.zip) | ![preview 1](142/preview_1.png) | ![preview 2](142/preview_2.png) | ![preview 3](142/preview_3.png) | ![preview 4](142/preview_4.png) | ![preview 5](142/preview_5.png) | ![preview 6](142/preview_6.png) | ![preview 7](142/preview_7.png) | ![preview 8](142/preview_8.png) | | 143 | 18 | [Download](143/dataset.zip) | ![preview 1](143/preview_1.png) | ![preview 2](143/preview_2.png) | ![preview 3](143/preview_3.png) | ![preview 4](143/preview_4.png) | ![preview 5](143/preview_5.png) | ![preview 6](143/preview_6.png) | ![preview 7](143/preview_7.png) | ![preview 8](143/preview_8.png) | | 144 | 7 | [Download](144/dataset.zip) | ![preview 1](144/preview_1.png) | ![preview 2](144/preview_2.png) | ![preview 3](144/preview_3.png) | ![preview 4](144/preview_4.png) | ![preview 5](144/preview_5.png) | ![preview 6](144/preview_6.png) | ![preview 7](144/preview_7.png) | N/A | | 145 | 7 | [Download](145/dataset.zip) | ![preview 1](145/preview_1.png) | ![preview 2](145/preview_2.png) | ![preview 3](145/preview_3.png) | ![preview 4](145/preview_4.png) | ![preview 5](145/preview_5.png) | ![preview 6](145/preview_6.png) | ![preview 7](145/preview_7.png) | N/A | | 146 | 18 | [Download](146/dataset.zip) | ![preview 1](146/preview_1.png) | ![preview 2](146/preview_2.png) | ![preview 3](146/preview_3.png) | ![preview 4](146/preview_4.png) | ![preview 5](146/preview_5.png) | ![preview 6](146/preview_6.png) | ![preview 7](146/preview_7.png) | ![preview 8](146/preview_8.png) | | noise | 617 | [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) |
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) | ![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 | 105 | [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 | 90 | [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 | 42 | [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 | 37 | [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 | 10 | [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 | 35 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 12 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 46 | [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 | 49 | [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 | 59 | [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 | 18 | [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 | 10 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 14 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 28 | [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 | 48 | [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 | 351 | [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 | 39 | [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 | 70 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 12 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 76 | [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 | 17 | [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 | 20 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 6 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | N/A | N/A | | 24 | 25 | [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 | 6 | [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) | N/A | N/A | | noise | 216 | [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) |
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