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Hack90/ncbi_genbank_part_30
2023-10-06T17:34:42.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 32901664415 num_examples: 168885 download_size: 14692414119 dataset_size: 32901664415 --- # Dataset Card for "ncbi_genbank_part_30" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_9
2023-10-06T19:46:23.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 20591910291 num_examples: 12188 download_size: 4208046819 dataset_size: 20591910291 --- # Dataset Card for "ncbi_genbank_part_9" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_50
2023-10-06T19:50:52.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 26640706946 num_examples: 3973282 download_size: 10256237433 dataset_size: 26640706946 --- # Dataset Card for "ncbi_genbank_part_50" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_41
2023-10-06T17:59:33.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 31049128200 num_examples: 273326 download_size: 13996445609 dataset_size: 31049128200 --- # Dataset Card for "ncbi_genbank_part_41" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_21
2023-10-07T03:00:47.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 12245208393 num_examples: 15929500 download_size: 5119781029 dataset_size: 12245208393 --- # Dataset Card for "ncbi_genbank_part_21" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
autoevaluate/autoeval-eval-samsum-samsum-3cd2fc-93464145850
2023-10-06T18:00:28.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - samsum eval_info: task: summarization model: google/pegasus-multi_news metrics: [] dataset_name: samsum dataset_config: samsum dataset_split: test col_mapping: text: dialogue target: summary --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: google/pegasus-multi_news * Dataset: samsum * Config: samsum * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@sasha](https://huggingface.co/sasha) for evaluating this model.
autoevaluate/autoeval-eval-xsum-default-7e15d4-93465145851
2023-10-06T21:11:34.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: google/pegasus-multi_news metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: google/pegasus-multi_news * Dataset: xsum * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@sasha](https://huggingface.co/sasha) for evaluating this model.
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-9ea0d3-93467145852
2023-10-06T21:24:22.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: google/pegasus-multi_news metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: google/pegasus-multi_news * Dataset: cnn_dailymail * Config: 3.0.0 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@sasha](https://huggingface.co/sasha) for evaluating this model.
Hack90/ncbi_genbank_part_31
2023-10-06T18:01:43.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 29120787399 num_examples: 2140631 download_size: 12705990582 dataset_size: 29120787399 --- # Dataset Card for "ncbi_genbank_part_31" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Poolq/we
2023-10-06T17:52:41.000Z
[ "region:us" ]
Poolq
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-squad-plain_text-b337fc-93468145853
2023-10-06T17:59:39.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-squad-plain_text-b337fc-93468145854
2023-10-06T17:59:43.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-squad-plain_text-b337fc-93468145855
2023-10-06T17:59:49.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-squad-plain_text-b337fc-93468145856
2023-10-06T17:59:55.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-squad-plain_text-b337fc-93468145857
2023-10-06T18:00:02.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
Hack90/ncbi_genbank_part_42
2023-10-06T18:26:01.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 30230002901 num_examples: 184506 download_size: 13696357931 dataset_size: 30230002901 --- # Dataset Card for "ncbi_genbank_part_42" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_22
2023-10-06T18:26:05.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 16393902737 num_examples: 12591387 download_size: 6879416017 dataset_size: 16393902737 --- # Dataset Card for "ncbi_genbank_part_22" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Intuit-GenSRF/sexting-nsfw-adultconten-es
2023-10-06T18:24:43.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: labels sequence: string - name: processed_text sequence: string - name: text_es dtype: string splits: - name: train num_bytes: 89678 num_examples: 538 download_size: 0 dataset_size: 89678 --- # Dataset Card for "sexting-nsfw-adultconten-es" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_43
2023-10-06T18:28:55.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 1748784064 num_examples: 250557 download_size: 733720481 dataset_size: 1748784064 --- # Dataset Card for "ncbi_genbank_part_43" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
SouBryan/Cod_MW2019_Precision_Airstrike_Dataset
2023-10-06T18:44:59.000Z
[ "license:mit", "region:us" ]
SouBryan
null
null
null
0
0
--- license: mit ---
Hack90/ncbi_genbank_part_23
2023-10-06T19:04:38.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 32376257548 num_examples: 660870 download_size: 14556362694 dataset_size: 32376257548 --- # Dataset Card for "ncbi_genbank_part_23" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Eu001/Aurora
2023-10-06T20:03:50.000Z
[ "license:openrail", "region:us" ]
Eu001
null
null
null
0
0
--- license: openrail ---
nathanlu/posthog
2023-10-06T19:03:24.000Z
[ "region:us" ]
nathanlu
null
null
null
0
0
Entry not found
Sharka/CIVQA_easyocr_encode_valid
2023-10-06T19:19:19.000Z
[ "region:us" ]
Sharka
null
null
null
0
0
--- dataset_info: features: - name: input_ids sequence: int64 - name: bbox dtype: array2_d: shape: - 512 - 4 dtype: int64 - name: attention_mask sequence: int64 - name: image dtype: array3_d: shape: - 3 - 224 - 224 dtype: int64 - name: start_positions dtype: int64 - name: end_positions dtype: int64 - name: questions dtype: string - name: answers dtype: string splits: - name: validation num_bytes: 21069068623 num_examples: 17079 download_size: 707118847 dataset_size: 21069068623 --- # Dataset Card for "CIVQA_easyocr_encode_valid" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_192150
2023-10-06T19:21:52.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73785 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_192150" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_192401
2023-10-06T19:24:02.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73925 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_192401" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_24
2023-10-06T19:42:58.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 33717252746 num_examples: 41233 download_size: 15120789725 dataset_size: 33717252746 --- # Dataset Card for "ncbi_genbank_part_24" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_192902
2023-10-06T19:29:03.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73832 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_192902" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_193224
2023-10-06T19:32:26.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73841 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_193224" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_44
2023-10-06T19:39:07.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 15146612055 num_examples: 19935938 download_size: 5700205740 dataset_size: 15146612055 --- # Dataset Card for "ncbi_genbank_part_44" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_32
2023-10-06T19:48:32.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 30511651329 num_examples: 2195743 download_size: 13612451510 dataset_size: 30511651329 --- # Dataset Card for "ncbi_genbank_part_32" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Intuit-GenSRF/toxigen-train-annotated-es
2023-10-06T19:38:23.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: labels sequence: string - name: processed_text sequence: string - name: text_es dtype: string splits: - name: train num_bytes: 2822955 num_examples: 8960 download_size: 1685693 dataset_size: 2822955 --- # Dataset Card for "toxigen-train-annotated-es" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_193820
2023-10-06T19:38:21.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 74219 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_193820" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_193945
2023-10-06T19:39:46.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73904 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_193945" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_194015
2023-10-06T19:40:17.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73778 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_194015" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_194418
2023-10-06T19:44:19.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73758 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_194418" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_194657
2023-10-06T19:46:58.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 74091 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_194657" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Intuit-GenSRF/haternet-es
2023-10-06T19:50:41.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: labels sequence: string - name: processed_text sequence: string - name: text_en dtype: string splits: - name: train num_bytes: 2211676 num_examples: 6000 download_size: 1501046 dataset_size: 2211676 --- # Dataset Card for "haternet-en" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
BangumiBase/theidolmsteranime
2023-10-06T22:54:36.000Z
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
BangumiBase
null
null
null
1
0
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of The Idolm@ster [anime] This is the image base of bangumi THE IDOLM@STER [Anime], we detected 45 characters, 7376 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 | 570 | [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 | 710 | [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 | 456 | [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 | 75 | [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 | 99 | [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 | 54 | [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 | 86 | [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 | 19 | [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 | 28 | [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 | 39 | [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 | 357 | [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 | 27 | [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 | 28 | [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 | 76 | [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 | 296 | [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 | 327 | [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 | 280 | [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 | 58 | [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 | 403 | [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 | 16 | [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 | 13 | [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 | 350 | [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 | 788 | [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 | 43 | [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 | 26 | [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 | 26 | [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 | 363 | [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 | 8 | [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 | 30 | [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 | 7 | [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) | N/A | | 30 | 37 | [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 | 53 | [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 | 25 | [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 | 20 | [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 | 48 | [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 | 11 | [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 | 23 | [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 | 8 | [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 | 160 | [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 | 439 | [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 | 27 | [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 | 7 | [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) | N/A | | 42 | 5 | [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) | N/A | N/A | N/A | | 43 | 254 | [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) | | noise | 601 | [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) |
towhid/guanaco-llama2-1k
2023-10-06T20:02:23.000Z
[ "region:us" ]
towhid
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1654448 num_examples: 1000 download_size: 966693 dataset_size: 1654448 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "guanaco-llama2-1k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_45
2023-10-06T20:08:01.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 14300153721 num_examples: 25055512 download_size: 5495669961 dataset_size: 14300153721 --- # Dataset Card for "ncbi_genbank_part_45" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Intuit-GenSRF/tweet-eval-hate-es
2023-10-06T20:05:33.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: labels sequence: string - name: processed_text sequence: string - name: text_es dtype: string splits: - name: train num_bytes: 3680715 num_examples: 9000 download_size: 2493022 dataset_size: 3680715 --- # Dataset Card for "tweet_eval-hate-es" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_33
2023-10-06T20:17:12.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 26425956795 num_examples: 6163404 download_size: 11468522245 dataset_size: 26425956795 --- # Dataset Card for "ncbi_genbank_part_33" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_200650
2023-10-06T20:06:51.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73595 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_200650" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_200728
2023-10-06T20:07:29.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 74080 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_200728" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
BangumiBase/blackclover
2023-10-07T18:02:59.000Z
[ "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 Black Clover This is the image base of bangumi Black Clover, we detected 187 characters, 19538 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 | 367 | [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 | 332 | [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 | 168 | [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 | 155 | [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 | 401 | [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 | 198 | [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 | 27 | [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 | 109 | [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 | 55 | [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 | 55 | [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 | 168 | [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 | 2568 | [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 | 112 | [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 | 113 | [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 | 179 | [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 | 407 | [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 | 124 | [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 | 102 | [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 | 58 | [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 | 44 | [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 | 275 | [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 | 69 | [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 | 73 | [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 | 190 | [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 | 76 | [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 | 18 | [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 | 223 | [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 | 30 | [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 | 162 | [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 | 192 | [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 | 303 | [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 | 39 | [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 | 193 | [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 | 45 | [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 | 174 | [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 | 988 | [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 | 113 | [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 | 25 | [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 | 107 | [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 | 150 | [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 | 104 | [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 | 45 | [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 | 85 | [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 | 60 | [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 | 33 | [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 | 43 | [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 | 34 | [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 | 24 | [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 | 128 | [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 | 24 | [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 | 92 | [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 | 22 | [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 | 52 | [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 | 33 | [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 | 52 | [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 | 36 | [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 | 93 | [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 | 38 | [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 | 58 | [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 | 599 | [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 | 47 | [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 | 53 | [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 | 69 | [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 | 140 | [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 | 52 | [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 | 29 | [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 | 73 | [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 | 31 | [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 | 134 | [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 | 28 | [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 | 36 | [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 | 81 | [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 | 56 | [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 | 25 | [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 | 113 | [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 | 24 | [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 | 45 | [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 | 60 | [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 | 42 | [Download](78/dataset.zip) | ![preview 1](78/preview_1.png) | ![preview 2](78/preview_2.png) | ![preview 3](78/preview_3.png) | ![preview 4](78/preview_4.png) | ![preview 5](78/preview_5.png) | ![preview 6](78/preview_6.png) | ![preview 7](78/preview_7.png) | ![preview 8](78/preview_8.png) | | 79 | 24 | [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 | 26 | [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 | 25 | [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 | 28 | [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 | 84 | [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 | 18 | [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 | 38 | [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 | 46 | [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 | 34 | [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 | 37 | [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 | 112 | [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 | 68 | [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 | 51 | [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 | 26 | [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 | 43 | [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 | 136 | [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 | 62 | [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 | 475 | [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 | 14 | [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 | 31 | [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 | 23 | [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 | 55 | [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 | 246 | [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 | 65 | [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 | 48 | [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 | 12 | [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 | 40 | [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 | 67 | [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 | 15 | [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 | 28 | [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 | 48 | [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 | 20 | [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) | ![preview 8](110/preview_8.png) | | 111 | 34 | [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 | 36 | [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 | 590 | [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 | 23 | [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 | 64 | [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 | 76 | [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 | 63 | [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 | 36 | [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 | 120 | [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 | 53 | [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) | ![preview 8](121/preview_8.png) | | 122 | 36 | [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 | 16 | [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 | 14 | [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 | 19 | [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 | 80 | [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 | 26 | [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 | 18 | [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 | 145 | [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 | 17 | [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) | ![preview 7](130/preview_7.png) | ![preview 8](130/preview_8.png) | | 131 | 386 | [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 | 31 | [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 | 20 | [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) | ![preview 8](133/preview_8.png) | | 134 | 25 | [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 | 13 | [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 | 21 | [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 | 45 | [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 | 154 | [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 | 12 | [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 | 177 | [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 | 36 | [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 | 25 | [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 | 93 | [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 | 35 | [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) | ![preview 8](144/preview_8.png) | | 145 | 24 | [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) | ![preview 8](145/preview_8.png) | | 146 | 187 | [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) | | 147 | 32 | [Download](147/dataset.zip) | ![preview 1](147/preview_1.png) | ![preview 2](147/preview_2.png) | ![preview 3](147/preview_3.png) | ![preview 4](147/preview_4.png) | ![preview 5](147/preview_5.png) | ![preview 6](147/preview_6.png) | ![preview 7](147/preview_7.png) | ![preview 8](147/preview_8.png) | | 148 | 30 | [Download](148/dataset.zip) | ![preview 1](148/preview_1.png) | ![preview 2](148/preview_2.png) | ![preview 3](148/preview_3.png) | ![preview 4](148/preview_4.png) | ![preview 5](148/preview_5.png) | ![preview 6](148/preview_6.png) | ![preview 7](148/preview_7.png) | ![preview 8](148/preview_8.png) | | 149 | 11 | [Download](149/dataset.zip) | ![preview 1](149/preview_1.png) | ![preview 2](149/preview_2.png) | ![preview 3](149/preview_3.png) | ![preview 4](149/preview_4.png) | ![preview 5](149/preview_5.png) | ![preview 6](149/preview_6.png) | ![preview 7](149/preview_7.png) | ![preview 8](149/preview_8.png) | | 150 | 13 | [Download](150/dataset.zip) | ![preview 1](150/preview_1.png) | ![preview 2](150/preview_2.png) | ![preview 3](150/preview_3.png) | ![preview 4](150/preview_4.png) | ![preview 5](150/preview_5.png) | ![preview 6](150/preview_6.png) | ![preview 7](150/preview_7.png) | ![preview 8](150/preview_8.png) | | 151 | 13 | [Download](151/dataset.zip) | ![preview 1](151/preview_1.png) | ![preview 2](151/preview_2.png) | ![preview 3](151/preview_3.png) | ![preview 4](151/preview_4.png) | ![preview 5](151/preview_5.png) | ![preview 6](151/preview_6.png) | ![preview 7](151/preview_7.png) | ![preview 8](151/preview_8.png) | | 152 | 14 | [Download](152/dataset.zip) | ![preview 1](152/preview_1.png) | ![preview 2](152/preview_2.png) | ![preview 3](152/preview_3.png) | ![preview 4](152/preview_4.png) | ![preview 5](152/preview_5.png) | ![preview 6](152/preview_6.png) | ![preview 7](152/preview_7.png) | ![preview 8](152/preview_8.png) | | 153 | 24 | [Download](153/dataset.zip) | ![preview 1](153/preview_1.png) | ![preview 2](153/preview_2.png) | ![preview 3](153/preview_3.png) | ![preview 4](153/preview_4.png) | ![preview 5](153/preview_5.png) | ![preview 6](153/preview_6.png) | ![preview 7](153/preview_7.png) | ![preview 8](153/preview_8.png) | | 154 | 20 | [Download](154/dataset.zip) | ![preview 1](154/preview_1.png) | ![preview 2](154/preview_2.png) | ![preview 3](154/preview_3.png) | ![preview 4](154/preview_4.png) | ![preview 5](154/preview_5.png) | ![preview 6](154/preview_6.png) | ![preview 7](154/preview_7.png) | ![preview 8](154/preview_8.png) | | 155 | 1323 | [Download](155/dataset.zip) | ![preview 1](155/preview_1.png) | ![preview 2](155/preview_2.png) | ![preview 3](155/preview_3.png) | ![preview 4](155/preview_4.png) | ![preview 5](155/preview_5.png) | ![preview 6](155/preview_6.png) | ![preview 7](155/preview_7.png) | ![preview 8](155/preview_8.png) | | 156 | 18 | [Download](156/dataset.zip) | ![preview 1](156/preview_1.png) | ![preview 2](156/preview_2.png) | ![preview 3](156/preview_3.png) | ![preview 4](156/preview_4.png) | ![preview 5](156/preview_5.png) | ![preview 6](156/preview_6.png) | ![preview 7](156/preview_7.png) | ![preview 8](156/preview_8.png) | | 157 | 46 | [Download](157/dataset.zip) | ![preview 1](157/preview_1.png) | ![preview 2](157/preview_2.png) | ![preview 3](157/preview_3.png) | ![preview 4](157/preview_4.png) | ![preview 5](157/preview_5.png) | ![preview 6](157/preview_6.png) | ![preview 7](157/preview_7.png) | ![preview 8](157/preview_8.png) | | 158 | 30 | [Download](158/dataset.zip) | ![preview 1](158/preview_1.png) | ![preview 2](158/preview_2.png) | ![preview 3](158/preview_3.png) | ![preview 4](158/preview_4.png) | ![preview 5](158/preview_5.png) | ![preview 6](158/preview_6.png) | ![preview 7](158/preview_7.png) | ![preview 8](158/preview_8.png) | | 159 | 26 | [Download](159/dataset.zip) | ![preview 1](159/preview_1.png) | ![preview 2](159/preview_2.png) | ![preview 3](159/preview_3.png) | ![preview 4](159/preview_4.png) | ![preview 5](159/preview_5.png) | ![preview 6](159/preview_6.png) | ![preview 7](159/preview_7.png) | ![preview 8](159/preview_8.png) | | 160 | 79 | [Download](160/dataset.zip) | ![preview 1](160/preview_1.png) | ![preview 2](160/preview_2.png) | ![preview 3](160/preview_3.png) | ![preview 4](160/preview_4.png) | ![preview 5](160/preview_5.png) | ![preview 6](160/preview_6.png) | ![preview 7](160/preview_7.png) | ![preview 8](160/preview_8.png) | | 161 | 17 | [Download](161/dataset.zip) | ![preview 1](161/preview_1.png) | ![preview 2](161/preview_2.png) | ![preview 3](161/preview_3.png) | ![preview 4](161/preview_4.png) | ![preview 5](161/preview_5.png) | ![preview 6](161/preview_6.png) | ![preview 7](161/preview_7.png) | ![preview 8](161/preview_8.png) | | 162 | 21 | [Download](162/dataset.zip) | ![preview 1](162/preview_1.png) | ![preview 2](162/preview_2.png) | ![preview 3](162/preview_3.png) | ![preview 4](162/preview_4.png) | ![preview 5](162/preview_5.png) | ![preview 6](162/preview_6.png) | ![preview 7](162/preview_7.png) | ![preview 8](162/preview_8.png) | | 163 | 56 | [Download](163/dataset.zip) | ![preview 1](163/preview_1.png) | ![preview 2](163/preview_2.png) | ![preview 3](163/preview_3.png) | ![preview 4](163/preview_4.png) | ![preview 5](163/preview_5.png) | ![preview 6](163/preview_6.png) | ![preview 7](163/preview_7.png) | ![preview 8](163/preview_8.png) | | 164 | 22 | [Download](164/dataset.zip) | ![preview 1](164/preview_1.png) | ![preview 2](164/preview_2.png) | ![preview 3](164/preview_3.png) | ![preview 4](164/preview_4.png) | ![preview 5](164/preview_5.png) | ![preview 6](164/preview_6.png) | ![preview 7](164/preview_7.png) | ![preview 8](164/preview_8.png) | | 165 | 38 | [Download](165/dataset.zip) | ![preview 1](165/preview_1.png) | ![preview 2](165/preview_2.png) | ![preview 3](165/preview_3.png) | ![preview 4](165/preview_4.png) | ![preview 5](165/preview_5.png) | ![preview 6](165/preview_6.png) | ![preview 7](165/preview_7.png) | ![preview 8](165/preview_8.png) | | 166 | 38 | [Download](166/dataset.zip) | ![preview 1](166/preview_1.png) | ![preview 2](166/preview_2.png) | ![preview 3](166/preview_3.png) | ![preview 4](166/preview_4.png) | ![preview 5](166/preview_5.png) | ![preview 6](166/preview_6.png) | ![preview 7](166/preview_7.png) | ![preview 8](166/preview_8.png) | | 167 | 14 | [Download](167/dataset.zip) | ![preview 1](167/preview_1.png) | ![preview 2](167/preview_2.png) | ![preview 3](167/preview_3.png) | ![preview 4](167/preview_4.png) | ![preview 5](167/preview_5.png) | ![preview 6](167/preview_6.png) | ![preview 7](167/preview_7.png) | ![preview 8](167/preview_8.png) | | 168 | 26 | [Download](168/dataset.zip) | ![preview 1](168/preview_1.png) | ![preview 2](168/preview_2.png) | ![preview 3](168/preview_3.png) | ![preview 4](168/preview_4.png) | ![preview 5](168/preview_5.png) | ![preview 6](168/preview_6.png) | ![preview 7](168/preview_7.png) | ![preview 8](168/preview_8.png) | | 169 | 9 | [Download](169/dataset.zip) | ![preview 1](169/preview_1.png) | ![preview 2](169/preview_2.png) | ![preview 3](169/preview_3.png) | ![preview 4](169/preview_4.png) | ![preview 5](169/preview_5.png) | ![preview 6](169/preview_6.png) | ![preview 7](169/preview_7.png) | ![preview 8](169/preview_8.png) | | 170 | 11 | [Download](170/dataset.zip) | ![preview 1](170/preview_1.png) | ![preview 2](170/preview_2.png) | ![preview 3](170/preview_3.png) | ![preview 4](170/preview_4.png) | ![preview 5](170/preview_5.png) | ![preview 6](170/preview_6.png) | ![preview 7](170/preview_7.png) | ![preview 8](170/preview_8.png) | | 171 | 19 | [Download](171/dataset.zip) | ![preview 1](171/preview_1.png) | ![preview 2](171/preview_2.png) | ![preview 3](171/preview_3.png) | ![preview 4](171/preview_4.png) | ![preview 5](171/preview_5.png) | ![preview 6](171/preview_6.png) | ![preview 7](171/preview_7.png) | ![preview 8](171/preview_8.png) | | 172 | 15 | [Download](172/dataset.zip) | ![preview 1](172/preview_1.png) | ![preview 2](172/preview_2.png) | ![preview 3](172/preview_3.png) | ![preview 4](172/preview_4.png) | ![preview 5](172/preview_5.png) | ![preview 6](172/preview_6.png) | ![preview 7](172/preview_7.png) | ![preview 8](172/preview_8.png) | | 173 | 14 | [Download](173/dataset.zip) | ![preview 1](173/preview_1.png) | ![preview 2](173/preview_2.png) | ![preview 3](173/preview_3.png) | ![preview 4](173/preview_4.png) | ![preview 5](173/preview_5.png) | ![preview 6](173/preview_6.png) | ![preview 7](173/preview_7.png) | ![preview 8](173/preview_8.png) | | 174 | 61 | [Download](174/dataset.zip) | ![preview 1](174/preview_1.png) | ![preview 2](174/preview_2.png) | ![preview 3](174/preview_3.png) | ![preview 4](174/preview_4.png) | ![preview 5](174/preview_5.png) | ![preview 6](174/preview_6.png) | ![preview 7](174/preview_7.png) | ![preview 8](174/preview_8.png) | | 175 | 46 | [Download](175/dataset.zip) | ![preview 1](175/preview_1.png) | ![preview 2](175/preview_2.png) | ![preview 3](175/preview_3.png) | ![preview 4](175/preview_4.png) | ![preview 5](175/preview_5.png) | ![preview 6](175/preview_6.png) | ![preview 7](175/preview_7.png) | ![preview 8](175/preview_8.png) | | 176 | 12 | [Download](176/dataset.zip) | ![preview 1](176/preview_1.png) | ![preview 2](176/preview_2.png) | ![preview 3](176/preview_3.png) | ![preview 4](176/preview_4.png) | ![preview 5](176/preview_5.png) | ![preview 6](176/preview_6.png) | ![preview 7](176/preview_7.png) | ![preview 8](176/preview_8.png) | | 177 | 10 | [Download](177/dataset.zip) | ![preview 1](177/preview_1.png) | ![preview 2](177/preview_2.png) | ![preview 3](177/preview_3.png) | ![preview 4](177/preview_4.png) | ![preview 5](177/preview_5.png) | ![preview 6](177/preview_6.png) | ![preview 7](177/preview_7.png) | ![preview 8](177/preview_8.png) | | 178 | 16 | [Download](178/dataset.zip) | ![preview 1](178/preview_1.png) | ![preview 2](178/preview_2.png) | ![preview 3](178/preview_3.png) | ![preview 4](178/preview_4.png) | ![preview 5](178/preview_5.png) | ![preview 6](178/preview_6.png) | ![preview 7](178/preview_7.png) | ![preview 8](178/preview_8.png) | | 179 | 44 | [Download](179/dataset.zip) | ![preview 1](179/preview_1.png) | ![preview 2](179/preview_2.png) | ![preview 3](179/preview_3.png) | ![preview 4](179/preview_4.png) | ![preview 5](179/preview_5.png) | ![preview 6](179/preview_6.png) | ![preview 7](179/preview_7.png) | ![preview 8](179/preview_8.png) | | 180 | 14 | [Download](180/dataset.zip) | ![preview 1](180/preview_1.png) | ![preview 2](180/preview_2.png) | ![preview 3](180/preview_3.png) | ![preview 4](180/preview_4.png) | ![preview 5](180/preview_5.png) | ![preview 6](180/preview_6.png) | ![preview 7](180/preview_7.png) | ![preview 8](180/preview_8.png) | | 181 | 52 | [Download](181/dataset.zip) | ![preview 1](181/preview_1.png) | ![preview 2](181/preview_2.png) | ![preview 3](181/preview_3.png) | ![preview 4](181/preview_4.png) | ![preview 5](181/preview_5.png) | ![preview 6](181/preview_6.png) | ![preview 7](181/preview_7.png) | ![preview 8](181/preview_8.png) | | 182 | 8 | [Download](182/dataset.zip) | ![preview 1](182/preview_1.png) | ![preview 2](182/preview_2.png) | ![preview 3](182/preview_3.png) | ![preview 4](182/preview_4.png) | ![preview 5](182/preview_5.png) | ![preview 6](182/preview_6.png) | ![preview 7](182/preview_7.png) | ![preview 8](182/preview_8.png) | | 183 | 20 | [Download](183/dataset.zip) | ![preview 1](183/preview_1.png) | ![preview 2](183/preview_2.png) | ![preview 3](183/preview_3.png) | ![preview 4](183/preview_4.png) | ![preview 5](183/preview_5.png) | ![preview 6](183/preview_6.png) | ![preview 7](183/preview_7.png) | ![preview 8](183/preview_8.png) | | 184 | 6 | [Download](184/dataset.zip) | ![preview 1](184/preview_1.png) | ![preview 2](184/preview_2.png) | ![preview 3](184/preview_3.png) | ![preview 4](184/preview_4.png) | ![preview 5](184/preview_5.png) | ![preview 6](184/preview_6.png) | N/A | N/A | | 185 | 6 | [Download](185/dataset.zip) | ![preview 1](185/preview_1.png) | ![preview 2](185/preview_2.png) | ![preview 3](185/preview_3.png) | ![preview 4](185/preview_4.png) | ![preview 5](185/preview_5.png) | ![preview 6](185/preview_6.png) | N/A | N/A | | noise | 474 | [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) |
tr416/dataset_20231006_201232
2023-10-06T20:12:33.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73794 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_201232" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_201304
2023-10-06T20:13:06.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73952 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_201304" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_10
2023-10-06T20:36:54.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 18860452767 num_examples: 1911681 download_size: 8308479889 dataset_size: 18860452767 --- # Dataset Card for "ncbi_genbank_part_10" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_202109
2023-10-06T20:21:10.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73882 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_202109" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_202208
2023-10-06T20:22:09.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 74223 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_202208" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_202418
2023-10-06T20:24:19.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73698 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_202418" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
sunlab/PySecDB
2023-10-06T21:12:06.000Z
[ "task_categories:feature-extraction", "task_categories:text-classification", "task_categories:summarization", "task_categories:text-generation", "size_categories:1K<n<10K", "language:en", "license:apache-2.0", "code", "commit", "patch", "region:us" ]
sunlab
null
null
null
0
0
--- license: apache-2.0 task_categories: - feature-extraction - text-classification - summarization - text-generation tags: - code - commit - patch language: - en pretty_name: PySecDB size_categories: - 1K<n<10K --- # PySecDB: security commit dataset in Python ## Description To foster large-scale research on vulnerability mitigation and to enable a comparison of different detection approaches, we make our dataset ***PySecDB*** from our ICSME23 paper publicly available. PySecDB is a real-world Python security commit dataset that contains around 1.2K security commits and 2.8K non-security commits. You can find more details on the dataset in the paper *"[Exploring Security Commits in Python](https://csis.gmu.edu/ksun/)"*. ## Data Structure PySecDB is stored in `json` format, where each sample contains 5 keys and has the following format; ```json { "id": the id for each entry, "label": the type of patch, value:"security" or "non-security", "content": the content of patch, type: str, "source": the source of patch, value: "MITRE" or "wild", "CVE-ID": the CVE ID if it exists, value: "CVE-XXXX-XXXXX" or "NA", } ``` ## Disclaimer & Download Agreement<span id="jump"></span> To download the PySecDB dataset, you must agree with the succeeding Disclaimer & Download Agreement items. You should carefully read the following terms before submitting the PySecDB request form. - PySecDB is constructed and cross-checked by 3 experts that work in security patch research. Due to the potential misclassification led by subjective factors, the Sun Security Laboratory (SunLab) cannot guarantee 100% accuracy for samples in the dataset. - The copyright of the PySecDB dataset is owned by SunLab. - The purpose of using PySecDB should be non-commercial research and/or personal use. The dataset should not be used for commercial use or any profitable purpose. - The PySecDB dataset should not be re-sell or redistributed. Anyone who has obtained PySecDB should not share the dataset with others without permission from SunLab. ## Team The PySecDB dataset is built by [Sun Security Laboratory](https://sunlab-gmu.github.io/) (SunLab) at [George Mason University](https://www2.gmu.edu/), Fairfax, VA. ## Citations **If you are using PySecDB for work that will result in a publication (thesis, dissertation, paper, article), please use the following citation:** ```bibtex @article{sun2023exploring, title={Exploring Security Commits in Python}, author={Sun, Shiyu and Wang, Shu and Wang, Xinda and Xing, Yunlong and Zhang, Elisa and Sun, Kun}, journal={arXiv preprint arXiv:2307.11853}, year={2023} } ```
Hack90/ncbi_genbank_part_34
2023-10-06T20:44:06.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 33614209063 num_examples: 62458 download_size: 15102741772 dataset_size: 33614209063 --- # Dataset Card for "ncbi_genbank_part_34" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_203135
2023-10-06T20:31:36.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73705 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_203135" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Leeps/IIT_Affordances_2017
2023-10-06T20:36:04.000Z
[ "license:afl-3.0", "region:us" ]
Leeps
null
null
null
0
0
--- license: afl-3.0 ---
tr416/dataset_20231006_203612
2023-10-06T20:36:14.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73868 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_203612" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
towhid/aesir-test2
2023-10-07T16:46:04.000Z
[ "region:us" ]
towhid
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string splits: - name: test num_bytes: 68 num_examples: 17 download_size: 707 dataset_size: 68 configs: - config_name: default data_files: - split: test path: data/test-* --- # Dataset Card for "aesir-test2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_35
2023-10-06T21:10:19.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 31326431657 num_examples: 1222 download_size: 14219174128 dataset_size: 31326431657 --- # Dataset Card for "ncbi_genbank_part_35" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_36
2023-10-06T21:37:05.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 32019675075 num_examples: 1276 download_size: 14482789388 dataset_size: 32019675075 --- # Dataset Card for "ncbi_genbank_part_36" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_37
2023-10-06T22:04:57.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 33117444507 num_examples: 1628 download_size: 14926056837 dataset_size: 33117444507 --- # Dataset Card for "ncbi_genbank_part_37" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Sjdsafari/Nasdaq_full_1_month_2007_to_2023
2023-10-06T22:09:55.000Z
[ "license:apache-2.0", "region:us" ]
Sjdsafari
null
null
null
0
0
--- license: apache-2.0 ---
evanfrick/rlaif
2023-10-06T22:31:26.000Z
[ "region:us" ]
evanfrick
null
null
null
0
0
Entry not found
Sjdsafari/Nasdaq_full_1_week_2007_to_2023
2023-10-06T22:02:48.000Z
[ "license:apache-2.0", "region:us" ]
Sjdsafari
null
null
null
0
0
--- license: apache-2.0 ---
Hack90/ncbi_genbank_part_25
2023-10-06T22:26:10.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 33302381831 num_examples: 1638 download_size: 15008913174 dataset_size: 33302381831 --- # Dataset Card for "ncbi_genbank_part_25" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Sjdsafari/Nasdaq_full_1_day_2007_to_2023
2023-10-06T22:07:15.000Z
[ "license:apache-2.0", "region:us" ]
Sjdsafari
null
null
null
0
0
--- license: apache-2.0 ---
Sjdsafari/Nasdaq_240min_2007_to_2023
2023-10-06T22:12:57.000Z
[ "license:apache-2.0", "region:us" ]
Sjdsafari
null
null
null
0
0
--- license: apache-2.0 ---
Sjdsafari/Nasdaq_60min_2007_to_2023
2023-10-06T22:51:20.000Z
[ "license:apache-2.0", "region:us" ]
Sjdsafari
null
null
null
0
0
--- license: apache-2.0 ---
Intuit-GenSRF/hate-speech-offensive-es
2023-10-06T22:24:18.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: labels sequence: string - name: processed_text sequence: string - name: text_es dtype: string splits: - name: train num_bytes: 7320813 num_examples: 24783 download_size: 4759804 dataset_size: 7320813 --- # Dataset Card for "hate_speech_offensive-es" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Intuit-GenSRF/hackathon-somos-nlp-2023-suicide-comments-es-en
2023-10-06T22:27:58.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: labels sequence: string - name: processed_text sequence: string - name: num_tokens dtype: int64 - name: text_en dtype: string splits: - name: train num_bytes: 2629537 num_examples: 8824 download_size: 1693102 dataset_size: 2629537 --- # Dataset Card for "hackathon-somos-nlp-2023-suicide-comments-es-en" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_61
2023-10-06T22:45:22.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 32323629638 num_examples: 119131 download_size: 14698797773 dataset_size: 32323629638 --- # Dataset Card for "ncbi_genbank_part_61" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_71
2023-10-07T00:00:16.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
Entry not found
Intuit-GenSRF/tweets-hate-speech-detection-es
2023-10-06T22:30:30.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: labels sequence: string - name: processed_text sequence: string - name: text_es dtype: string splits: - name: train num_bytes: 8933354 num_examples: 31962 download_size: 6104746 dataset_size: 8933354 --- # Dataset Card for "tweets_hate_speech_detection-es" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1899Deposit38-ECV/Joaosaldanha
2023-10-06T22:43:27.000Z
[ "region:us" ]
1899Deposit38-ECV
null
null
null
0
0
Entry not found
Hack90/ncbi_genbank_part_62
2023-10-06T23:11:13.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 23316507081 num_examples: 4572223 download_size: 10026708270 dataset_size: 23316507081 --- # Dataset Card for "ncbi_genbank_part_62" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ZelaAI/test_repo
2023-10-07T21:31:09.000Z
[ "region:us" ]
ZelaAI
null
null
null
0
0
Entry not found
tr416/dataset_20231006_231107
2023-10-06T23:11:08.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73705 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_231107" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_231419
2023-10-06T23:14:20.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73847 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_231419" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_231926
2023-10-06T23:19:27.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73865 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_231926" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_232347
2023-10-06T23:23:48.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 74080 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_232347" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_233006
2023-10-06T23:30:07.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73943 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_233006" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_63
2023-10-06T23:35:56.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 12920615864 num_examples: 13999730 download_size: 5041172591 dataset_size: 12920615864 --- # Dataset Card for "ncbi_genbank_part_63" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_233701
2023-10-06T23:37:02.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 74101 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_233701" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_233908
2023-10-06T23:39:09.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73813 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_233908" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231006_234030
2023-10-06T23:40:31.000Z
[ "region:us" ]
tr416
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: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 762696.0 num_examples: 297 - name: test num_bytes: 7704.0 num_examples: 3 download_size: 73965 dataset_size: 770400.0 --- # Dataset Card for "dataset_20231006_234030" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_64
2023-10-07T00:01:49.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 23605755944 num_examples: 1596418 download_size: 10216572338 dataset_size: 23605755944 --- # Dataset Card for "ncbi_genbank_part_64" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
BEE-spoke-data/coedit-reworded-deduped
2023-10-10T20:07:34.000Z
[ "license:apache-2.0", "arxiv:2305.09857", "region:us" ]
BEE-spoke-data
null
null
null
0
0
--- license: apache-2.0 dataset_info: - config_name: dedup-by-target features: - name: task dtype: string - name: id dtype: string - name: original_instruction dtype: string - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 23629242 num_examples: 79943 download_size: 11836738 dataset_size: 23629242 - config_name: default features: - name: task dtype: string - name: id dtype: string - name: original_instruction dtype: string - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 23629242 num_examples: 79943 download_size: 11836739 dataset_size: 23629242 configs: - config_name: dedup-by-target data_files: - split: train path: dedup-by-target/train-* - config_name: default data_files: - split: train path: data/train-* source_dataasets: chargoddard/coedit-reworded --- # BEE-spoke-data/coedit-reworded-deduped Minhash deduplication on the `target` column. Source data from [coedit-reworded](https://hf.co/chargoddard/coedit-reworded) ## Citation Original dataset courtesy of Grammarly: ``` @article{raheja2023coedit, title={CoEdIT: Text Editing by Task-Specific Instruction Tuning}, author={Vipul Raheja and Dhruv Kumar and Ryan Koo and Dongyeop Kang}, year={2023}, eprint={2305.09857}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```
autoevaluate/autoeval-eval-amazon_polarity-amazon_polarity-afc8c5-93509145863
2023-10-07T00:19:46.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - amazon_polarity eval_info: task: binary_classification model: AdamCodd/distilbert-base-uncased-finetuned-sentiment-amazon metrics: [] dataset_name: amazon_polarity dataset_config: amazon_polarity dataset_split: test col_mapping: text: content target: label --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: AdamCodd/distilbert-base-uncased-finetuned-sentiment-amazon * Dataset: amazon_polarity * Config: amazon_polarity * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@AdamCodd](https://huggingface.co/AdamCodd) for evaluating this model.
Hack90/ncbi_genbank_part_26
2023-10-07T00:35:15.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 34342592523 num_examples: 98914 download_size: 15597412855 dataset_size: 34342592523 --- # Dataset Card for "ncbi_genbank_part_26" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_65
2023-10-07T00:26:31.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 19753145244 num_examples: 1476991 download_size: 8576777094 dataset_size: 19753145244 --- # Dataset Card for "ncbi_genbank_part_65" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
teleprint-me/function-calling
2023-10-07T02:06:25.000Z
[ "license:cc-by-nc-sa-4.0", "region:us" ]
teleprint-me
null
null
null
0
0
--- license: cc-by-nc-sa-4.0 --- # Function Calling Dataset ## Description The Function Calling Dataset is designed to facilitate the training of natural language models to understand and generate structured function calls within a conversational context. This dataset contains a collection of interactions where users engage in conversations with a virtual assistant and request specific actions or information using structured function calls. ## Dataset Contents - Regular Conversations: The dataset includes standard conversational cues where users ask questions, make requests, or seek information. - Structured Function Calls: Using the `[FUNC]` tag, the dataset provides examples of how to generate structured outputs, representing function calls. These function calls encompass various tasks and actions. - Marrying Structure and Natural Language: Following each function call, there are natural language explanations or elaborations. This ensures that the dataset strikes a balance between structured and human-friendly responses. ## Usage This dataset is intended for training and fine-tuning natural language models, enabling them to understand and generate structured function calls in response to user queries. It can be valuable for projects involving virtual assistants, chatbots, or any application where structured actions are required within a conversational context. ## License This dataset is made available under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/). ---
naiviv1000/poncho
2023-10-07T00:32:23.000Z
[ "license:apache-2.0", "region:us" ]
naiviv1000
null
null
null
0
0
--- license: apache-2.0 ---
Hack90/ncbi_genbank_part_66
2023-10-07T00:47:28.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
Entry not found
Hack90/ncbi_genbank_part_16
2023-10-07T00:50:32.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 9781284891 num_examples: 14048187 download_size: 4047367895 dataset_size: 9781284891 --- # Dataset Card for "ncbi_genbank_part_16" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
artdwn/stable-diffusion-backup
2023-10-07T01:49:58.000Z
[ "arxiv:2211.06679", "region:us" ]
artdwn
null
null
null
0
0
# Stable Diffusion web UI A browser interface based on Gradio library for Stable Diffusion. ![](screenshot.png) ## Features [Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features): - Original txt2img and img2img modes - One click install and run script (but you still must install python and git) - Outpainting - Inpainting - Color Sketch - Prompt Matrix - Stable Diffusion Upscale - Attention, specify parts of text that the model should pay more attention to - a man in a `((tuxedo))` - will pay more attention to tuxedo - a man in a `(tuxedo:1.21)` - alternative syntax - select text and press `Ctrl+Up` or `Ctrl+Down` (or `Command+Up` or `Command+Down` if you're on a MacOS) to automatically adjust attention to selected text (code contributed by anonymous user) - Loopback, run img2img processing multiple times - X/Y/Z plot, a way to draw a 3 dimensional plot of images with different parameters - Textual Inversion - have as many embeddings as you want and use any names you like for them - use multiple embeddings with different numbers of vectors per token - works with half precision floating point numbers - train embeddings on 8GB (also reports of 6GB working) - Extras tab with: - GFPGAN, neural network that fixes faces - CodeFormer, face restoration tool as an alternative to GFPGAN - RealESRGAN, neural network upscaler - ESRGAN, neural network upscaler with a lot of third party models - SwinIR and Swin2SR ([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers - LDSR, Latent diffusion super resolution upscaling - Resizing aspect ratio options - Sampling method selection - Adjust sampler eta values (noise multiplier) - More advanced noise setting options - Interrupt processing at any time - 4GB video card support (also reports of 2GB working) - Correct seeds for batches - Live prompt token length validation - Generation parameters - parameters you used to generate images are saved with that image - in PNG chunks for PNG, in EXIF for JPEG - can drag the image to PNG info tab to restore generation parameters and automatically copy them into UI - can be disabled in settings - drag and drop an image/text-parameters to promptbox - Read Generation Parameters Button, loads parameters in promptbox to UI - Settings page - Running arbitrary python code from UI (must run with `--allow-code` to enable) - Mouseover hints for most UI elements - Possible to change defaults/mix/max/step values for UI elements via text config - Tiling support, a checkbox to create images that can be tiled like textures - Progress bar and live image generation preview - Can use a separate neural network to produce previews with almost none VRAM or compute requirement - Negative prompt, an extra text field that allows you to list what you don't want to see in generated image - Styles, a way to save part of prompt and easily apply them via dropdown later - Variations, a way to generate same image but with tiny differences - Seed resizing, a way to generate same image but at slightly different resolution - CLIP interrogator, a button that tries to guess prompt from an image - Prompt Editing, a way to change prompt mid-generation, say to start making a watermelon and switch to anime girl midway - Batch Processing, process a group of files using img2img - Img2img Alternative, reverse Euler method of cross attention control - Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions - Reloading checkpoints on the fly - Checkpoint Merger, a tab that allows you to merge up to 3 checkpoints into one - [Custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community - [Composable-Diffusion](https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/), a way to use multiple prompts at once - separate prompts using uppercase `AND` - also supports weights for prompts: `a cat :1.2 AND a dog AND a penguin :2.2` - No token limit for prompts (original stable diffusion lets you use up to 75 tokens) - DeepDanbooru integration, creates danbooru style tags for anime prompts - [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add `--xformers` to commandline args) - via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI - Generate forever option - Training tab - hypernetworks and embeddings options - Preprocessing images: cropping, mirroring, autotagging using BLIP or deepdanbooru (for anime) - Clip skip - Hypernetworks - Loras (same as Hypernetworks but more pretty) - A separate UI where you can choose, with preview, which embeddings, hypernetworks or Loras to add to your prompt - Can select to load a different VAE from settings screen - Estimated completion time in progress bar - API - Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML - via extension: [Aesthetic Gradients](https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embeds (implementation of [https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients)) - [Stable Diffusion 2.0](https://github.com/Stability-AI/stablediffusion) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20) for instructions - [Alt-Diffusion](https://arxiv.org/abs/2211.06679) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alt-diffusion) for instructions - Now without any bad letters! - Load checkpoints in safetensors format - Eased resolution restriction: generated image's dimension must be a multiple of 8 rather than 64 - Now with a license! - Reorder elements in the UI from settings screen ## Installation and Running Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for: - [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) - [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs. - [Intel CPUs, Intel GPUs (both integrated and discrete)](https://github.com/openvinotoolkit/stable-diffusion-webui/wiki/Installation-on-Intel-Silicon) (external wiki page) Alternatively, use online services (like Google Colab): - [List of Online Services](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Online-Services) ### Installation on Windows 10/11 with NVidia-GPUs using release package 1. Download `sd.webui.zip` from [v1.0.0-pre](https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.0.0-pre) and extract it's contents. 2. Run `update.bat`. 3. Run `run.bat`. > For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) ### Automatic Installation on Windows 1. Install [Python 3.10.6](https://www.python.org/downloads/release/python-3106/) (Newer version of Python does not support torch), checking "Add Python to PATH". 2. Install [git](https://git-scm.com/download/win). 3. Download the stable-diffusion-webui repository, for example by running `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`. 4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user. ### Automatic Installation on Linux 1. Install the dependencies: ```bash # Debian-based: sudo apt install wget git python3 python3-venv libgl1 libglib2.0-0 # Red Hat-based: sudo dnf install wget git python3 # Arch-based: sudo pacman -S wget git python3 ``` 2. Navigate to the directory you would like the webui to be installed and execute the following command: ```bash wget -q https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh ``` 3. Run `webui.sh`. 4. Check `webui-user.sh` for options. ### Installation on Apple Silicon Find the instructions [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon). ## Contributing Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing) ## Documentation The documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki). For the purposes of getting Google and other search engines to crawl the wiki, here's a link to the (not for humans) [crawlable wiki](https://github-wiki-see.page/m/AUTOMATIC1111/stable-diffusion-webui/wiki). ## Credits Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file. - Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers - k-diffusion - https://github.com/crowsonkb/k-diffusion.git - GFPGAN - https://github.com/TencentARC/GFPGAN.git - CodeFormer - https://github.com/sczhou/CodeFormer - ESRGAN - https://github.com/xinntao/ESRGAN - SwinIR - https://github.com/JingyunLiang/SwinIR - Swin2SR - https://github.com/mv-lab/swin2sr - LDSR - https://github.com/Hafiidz/latent-diffusion - MiDaS - https://github.com/isl-org/MiDaS - Ideas for optimizations - https://github.com/basujindal/stable-diffusion - Cross Attention layer optimization - Doggettx - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing. - Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion) - Sub-quadratic Cross Attention layer optimization - Alex Birch (https://github.com/Birch-san/diffusers/pull/1), Amin Rezaei (https://github.com/AminRezaei0x443/memory-efficient-attention) - Textual Inversion - Rinon Gal - https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas). - Idea for SD upscale - https://github.com/jquesnelle/txt2imghd - Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot - CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator - Idea for Composable Diffusion - https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch - xformers - https://github.com/facebookresearch/xformers - DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru - Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://github.com/Birch-san/diffusers-play/tree/92feee6) - Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix - Security advice - RyotaK - UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC - TAESD - Ollin Boer Bohan - https://github.com/madebyollin/taesd - LyCORIS - KohakuBlueleaf - Restart sampling - lambertae - https://github.com/Newbeeer/diffusion_restart_sampling - Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user. - (You)
REDTMX/J
2023-10-07T00:53:39.000Z
[ "license:apache-2.0", "region:us" ]
REDTMX
null
null
null
0
0
--- license: apache-2.0 ---
Hack90/ncbi_genbank_part_27
2023-10-07T01:12:17.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 32872955172 num_examples: 183931 download_size: 14877735882 dataset_size: 32872955172 --- # Dataset Card for "ncbi_genbank_part_27" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Intuit-GenSRF/tweet-eval-offensive-es
2023-10-07T01:13:41.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: labels sequence: string - name: processed_text sequence: string - name: num_tokens dtype: int64 - name: text_es dtype: string splits: - name: train num_bytes: 4941865 num_examples: 11519 download_size: 3088828 dataset_size: 4941865 --- # Dataset Card for "tweet_eval-offensive-es" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
johannes-garstenauer/embeddings_from_distilbert_class_heaps_and_eval_part0
2023-10-07T01:17:36.000Z
[ "region:us" ]
johannes-garstenauer
null
null
null
1
0
--- dataset_info: features: - name: struct dtype: string - name: label dtype: int64 - name: pred dtype: int64 - name: cls_layer_6 sequence: float32 - name: cls_layer_5 sequence: float32 - name: cls_layer_4 sequence: float32 splits: - name: train num_bytes: 1282993344 num_examples: 134592 download_size: 1493427157 dataset_size: 1282993344 --- # Dataset Card for "embeddings_from_distilbert_class_heaps_and_eval_part0" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hack90/ncbi_genbank_part_17
2023-10-07T01:37:04.000Z
[ "region:us" ]
Hack90
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: sequence dtype: string - name: name dtype: string - name: description dtype: string - name: features dtype: int64 - name: seq_length dtype: int64 splits: - name: train num_bytes: 9388521444 num_examples: 13063434 download_size: 3796686652 dataset_size: 9388521444 --- # Dataset Card for "ncbi_genbank_part_17" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)