Datasets:
davanstrien
/
dataset_cards_with_long_context_embeddins

Dataset card Data Studio Files
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gfbati/AjwaOrMedjool
2023-10-09T07:47:47.000Z
[ "task_categories:image-classification", "task_categories:tabular-classification", "language:ar", "language:en", "license:cc-by-4.0", "doi:10.57967/hf/1116", "region:us" ]
gfbati
null
null
1
5
2023-09-15T10:08:08
--- license: cc-by-4.0 task_categories: - image-classification - tabular-classification language: - ar - en --- The dataset contains three subsets: 1) a dataset containing hand-crafted features to classify two types of organic dates (Ajwa or Medjool); 2) a dataset containing tabular data with features created automatically using deep learning to classify the two organic date types (Ajwa or Medjool); 3) a dataset for images of Ajwa and Medjool. This study is considered as the first work in Arabic using shallow machine learning and deep learning to create accurate models for classifying organic Saudi dates, which would enable scholars, researchers, and developers to create machine learning applications for classifying Saudi dates in various forms like websites, mobile apps, microcontrollers, tiny machine learning and internet of things applications. Please cite the following paper: Bati GF. Ajwa or Medjool: a binary balanced dataset to teach machine learning. Journal of Information Studies & Technology 2023:2.12. https://doi.org/10.5339/jist.2023.12 عجوة أو مجدول هي مجموعة بيانات متوازنة الصنفين لتصنيف التمور السعودية العضوية تتكون من ثلاث مجموعات فرعية: الأولى: تحوي البيانات المجدولة ذات الخصائص اليدوية لتصنيف التمور العضوية (عجوة أو مجدول)، والثانية: تجمع البيانات المجدولة ذات الخصائص المولدة أتوماتيكيّاً باستخدام التعلم العميق لتصنيف التمور العضوية (عجوة أو مجدول)، والثالثة: تجمع صوراً لتمور العجوة والمجدول. كما أنه أول بحث باللغة العربية يستخدم نماذج تعلم الآلة التقليدية والتعلم العميق لإنشاء نماذج ذات أداء عالٍ لتصنيف التمور السعودية العضوية بدون برمجة، مما يمكن الدارسين والباحثين والمطورين من تطوير تطبيقات تعلم آلة لتصنيف التمور السعودية بأشكال متنوعة في مواقع الإنترنت أو تطبيقات الجوالات أو في المتحكمات الدقيقة وتطبيقات إنترنت الأشياء وتعلم الآلات الصغيرة. كرماً الاستشهاد بالبحث التالي عند استخدام مجموعة البيانات: Bati GF. Ajwa or Medjool: a binary balanced dataset to teach machine learning. Journal of Information Studies & Technology 2023:2.12. https://doi.org/10.5339/jist.2023.12 فيديوهات عربية تشرح مجموعة البيانات: https://youtu.be/bPYHOYo4_Tw?feature=shared&t=1418 https://youtu.be/ADOuweANc5I?feature=shared&t=5775 https://youtu.be/PThKbc1kTSM?feature=shared&t=3253
2,218
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adityarra07/master_test
2023-09-16T17:03:26.000Z
[ "region:us" ]
adityarra07
null
null
0
5
2023-09-16T16:39:41
--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string - name: id dtype: string splits: - name: train num_bytes: 337025121.8032651 num_examples: 2000 download_size: 330351099 dataset_size: 337025121.8032651 --- # Dataset Card for "master_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
484
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duckaiml/Polylingual_Id
2023-10-12T16:58:37.000Z
[ "license:other", "region:us" ]
duckaiml
\
0
5
2023-09-16T17:33:13
--- license: other --- # Polylingual Indonesia Dataset/Model Card ## Description Polylingual Indonesia is a diverse dataset composed of a collection of publicly available data and some self-crawled data in the Indonesian language. The data originates from various sources including news articles, books, forums, and stories. This dataset is processed and filtered through specific techniques detailed in the sections below. ## Prerequisites To run and utilize this dataset, make sure you have the `zstandard` package installed in your environment. ## Format The original format of the dataset is JSONL with zstandard compressed ## Dataset Details ### Filtering The dataset undergoes a filtration process using a specific filter from BigScience. Detailed information about the filter used can be found here: [BigScience Filter](https://drive.google.com/file/d/1cCJ8sWE88TRLDAa3eHLmXO4JlkR2QzLY/view?usp=sharing). ### Data Sources The data originates from various sources, and each folder in the dataset represents the source from where the original data came. Here are the details of each folder/source: #### 1. HPLT_filtered - Link: [HPLT Project](https://hplt-project.org/datasets/v1) - Source : Internet Archive Snapshot WIDE15 and WIDE17 and CC-MAIN-2022-40 #### 2. Mc4-und-id - Data is filtered from the undefined language segment of MC4 (c4-und) using FastText, BigScience filters. - Sample: [MC4 Sample](https://huggingface.co/datasets/allenai/c4/blob/mC4310/multilingual/c4-und.00000-00001-00002-00003-00004-00005-00006-00007.json.gz) #### 3. Indonesia-Crawl This folder contains a collection of the Common Crawl dataset and self crawled data, specific for the Indonesian language, accumulated from various snapshots. The data is divided into several sections: - **Mc4 original(dedup)**: Ranging from snapshot CC-2013-20 to CC-2020-34. - **Kopi-CC(dedup)**: This covers data from snapshot CC-2020-34 to CC-2023-06. More details can be found [here](https://huggingface.co/datasets/acul3/KoPI-CC) (Note: Last snapshot to be uploaded). - **KoPI-CC_News**: This includes the Common Crawl News Dataset ranging from the year 2016 to 2022. Detailed information can be accessed [here](https://huggingface.co/datasets/acul3/KoPI-CC) (Note: Last snapshot to be uploaded). - **Self Crawled Data**: consists of data crawled from various platforms including news sites, story sites, forums, and others. ## Usage install zstandard first ``` from datasets import load_dataset hplt = load_dataset('duckaiml/Polylingual_Id','hplt') #hplt only mc4_und = load_dataset('duckaiml/Polylingual_Id','mc4_und') #mc4_und only indonesia_crawl = load_dataset('duckaiml/Polylingual_Id','indonesia_crawl') #indonesia_crawl only load_dataset('duckaiml/Polylingual_Id','full') #load all ``` ## Limitation/Issue - Although some source data already dedup separately, some duplicate might be found as dataset need dedup as whole dataset ## Contributing Feel free to contribute to the dataset by adding more diverse sources or helping in enhancing the filtration process. ## License The data is collected from public sources, and it's recommended to refer to the original data sources for information on licensing and usage restrictions. ## Contact For any queries or contributions to the dataset, please feel free to reach out (contact information to be added).
3,363
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BEE-spoke-data/SYSK-Transcripts
2023-10-10T20:27:51.000Z
[ "size_categories:1K<n<10K", "license:cc-by-4.0", "region:us" ]
BEE-spoke-data
null
null
0
5
2023-09-17T21:38:31
--- license: cc-by-4.0 size_categories: - 1K<n<10K dataset_info: - config_name: default features: - name: id dtype: string - name: title dtype: string - name: link dtype: string - name: desc dtype: string - name: summary dtype: string - name: pubDate dtype: string - name: pubFormatted dtype: string - name: enc_len dtype: string - name: enc_type dtype: string - name: audio_url dtype: string - name: transcript dtype: string splits: - name: train num_bytes: 72117648 num_examples: 1965 download_size: 40830798 dataset_size: 72117648 - config_name: segmented features: - name: id dtype: string - name: title dtype: string - name: link dtype: string - name: desc dtype: string - name: summary dtype: string - name: text dtype: string splits: - name: train num_bytes: 69521425.32519084 num_examples: 1911 download_size: 40832338 dataset_size: 69521425.32519084 configs: - config_name: default data_files: - split: train path: data/train-* - config_name: segmented data_files: - split: train path: segmented/train-* --- # Dataset Card for "SYSK_Transcripts" Transcriptions + Summaries of _Stuff You Should Know_. DOI 10.17605/OSF.IO/VM9NT ```python Dataset({ features: ['id', 'title', 'link', 'desc', 'summary', 'pubDate', 'pubFormatted', 'enc_len', 'enc_type', 'audio_url', 'transcript'], num_rows: 1965 }) ``` ## citation ``` @article{https://doi.org/10.17605/osf.io/vm9nt, doi = {10.17605/OSF.IO/VM9NT}, url = {https://osf.io/vm9nt/}, author = {Pierson, Britt}, keywords = {audio processing, audio timestamp, corpus, dataset, natural language processing, nlp, podcast, podcasts trancripts, podcasts transcript, podcast transcript, podcast transcripts, sentiment analysis, transcript, transcripts, transcripts of podcast, transcripts of podcasts}, title = {"Stuff You Should Know" Podcast Transcripts - Full Dataset with Transcript of All Episodes (SYSK_Transcripts)}, publisher = {Open Science Framework}, year = {2022}, copyright = {CC-By Attribution 4.0 International} } ```
2,176
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hungeni/amrutaDB
2023-09-18T11:11:08.000Z
[ "task_categories:text-generation", "size_categories:1K<n<10K", "language:en", "language:vi", "language:hi", "license:other", "region:us" ]
hungeni
null
null
0
5
2023-09-18T11:02:51
--- license: other task_categories: - text-generation language: - en - vi - hi size_categories: - 1K<n<10K --- This dataset clone from amruta.org for training LLM Contact: hungbui@sahajayoga.edu.vn By the grace of Our H.H. Shri Mataji Nirmala Devi
250
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spyropoulos/products
2023-09-18T11:54:21.000Z
[ "region:us" ]
spyropoulos
null
null
0
5
2023-09-18T11:53:51
Entry not found
15
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fia24/banel_including_pos_training_dataset_90
2023-09-18T12:36:47.000Z
[ "region:us" ]
fia24
null
null
0
5
2023-09-18T12:36:44
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: id dtype: string - name: translation struct: - name: en dtype: string - name: fr dtype: string splits: - name: train num_bytes: 1386207 num_examples: 18105 - name: test num_bytes: 155599 num_examples: 2012 download_size: 621202 dataset_size: 1541806 --- # Dataset Card for "banel_including_pos_training_dataset_90" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
667
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mertkarabacak/NCDB-Meningioma
2023-09-18T19:25:32.000Z
[ "region:us" ]
mertkarabacak
null
null
0
5
2023-09-18T19:25:22
Entry not found
15
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changjacHp/lol_champions_abilities
2023-09-21T06:25:51.000Z
[ "region:us" ]
changjacHp
null
null
0
5
2023-09-21T06:25:37
Entry not found
15
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dharun2049/autotrain-data-skinnnnnnn
2023-09-21T22:51:24.000Z
[ "task_categories:image-classification", "region:us" ]
dharun2049
null
null
0
5
2023-09-21T22:49:57
--- task_categories: - image-classification --- # AutoTrain Dataset for project: skinnnnnnn ## Dataset Description This dataset has been automatically processed by AutoTrain for project skinnnnnnn. ### Languages The BCP-47 code for the dataset's language is unk. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "image": "<224x224 RGB PIL image>", "target": 0 }, { "image": "<224x224 RGB PIL image>", "target": 1 } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(names=['benign', 'malignant'], id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 397 | | valid | 101 |
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mychen76/receipt_cord_ocr_v2
2023-09-22T22:21:40.000Z
[ "region:us" ]
mychen76
null
null
0
5
2023-09-22T22:20:48
--- dataset_info: features: - name: image dtype: image - name: id dtype: string - name: parsed_data dtype: string - name: raw_data dtype: string splits: - name: train num_bytes: 119205560.0 num_examples: 800 - name: test num_bytes: 15152937.0 num_examples: 100 - name: valid num_bytes: 15152937.0 num_examples: 100 download_size: 147437931 dataset_size: 149511434.0 --- # Dataset Card for "receipt_cord_ocr_v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
605
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Mireu-Lab/CIC-IDS
2023-10-07T11:30:24.000Z
[ "task_categories:feature-extraction", "code", "region:us" ]
Mireu-Lab
null
null
0
5
2023-09-23T16:13:47
--- task_categories: - feature-extraction tags: - code --- # CIC-IDS This dataset is a dataset that sorts multiple tracks that are attacked by the network. The data on that dataset are as follows. ## 자료 The types of Attacks are as follows. - DDoS - Web_Attack_�_Brute_Force - Infiltration - DoS_GoldenEye - DoS_Hulk - Heartbleed - Bot - DoS_Slowhttptest - Web_Attack_�_XSS - DoS_slowloris - FTP-Patator - SSH-Patator - Web_Attack_�_Sql_Injection - PortScan The percentage of attack attempts is as follows. ![image-20230926151821430](./image-20230926151821430.png) Detailed Attack Rate Chart <img src="./image-20230926152655774.png" alt="image-20230926152655774" style="zoom:40%;" /> ![image-20230926152729901](./image-20230926152729901.png) A dataset made up of . In addition, the data set is configured with files as follows. | File Name | the manner of attack | weight of attack (%) | | ----------------------------------------------------------- | ------------------------------------------------------------ | ------------- | | Friday-WorkingHours-Afternoon-DDos.pcap_ISCX.csv | DDoS | 56 | | Tuesday-WorkingHours.pcap_ISCX.csv | FTP-Patator, SSH-Patator | 3 | | Friday-WorkingHours-Afternoon-PortScan.pcap_ISCX.csv | PortScan | 55 | | Thursday-WorkingHours-Afternoon-Infilteration.pcap_ISCX.csv | Infiltration | 0.01 | | Wednesday-workingHours.pcap_ISCX.csv | DoS_Hulk, DoS_Slowhttptest, DoS_GoldenEye, Heartbleed, DoS_slowloris | 36 | | Friday-WorkingHours-Morning.pcap_ISCX.csv | Bot | 1.02 | | Thursday-WorkingHours-Morning-WebAttacks.pcap_ISCX.csv | Web_Attack_�_XSS, Web_Attack_�_Brute_Force, Web_Attack_�_Sql_Injection | 1.27 | - License The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip) are publicly available for researchers. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles: Iman Sharafaldin, Arash Habibi Lashkari, and Ali A. Ghorbani, “Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization”, 4th International Conference on Information Systems Security and Privacy (ICISSP), Portugal, January 2018
2,892
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sarahpann/gsm8k_small_test
2023-09-23T20:21:36.000Z
[ "region:us" ]
sarahpann
null
null
0
5
2023-09-23T20:18:53
--- configs: - config_name: default data_files: - split: test path: data/test-* dataset_info: features: - name: prompt dtype: string - name: answer dtype: string splits: - name: test num_bytes: 109109 num_examples: 200 download_size: 64934 dataset_size: 109109 --- # Dataset Card for "gsm8k_small_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
473
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ASR-HypR/AISHELL1_withLM
2023-09-24T15:04:06.000Z
[ "region:us" ]
ASR-HypR
null
null
0
5
2023-09-24T13:36:28
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: dev path: data/dev-* dataset_info: features: - name: ref dtype: string - name: hyps sequence: string - name: ctc_score sequence: float64 - name: att_score sequence: float64 - name: lm_score sequence: float64 - name: utt_id dtype: string - name: score sequence: float64 splits: - name: train num_bytes: 572977340 num_examples: 120098 - name: test num_bytes: 34410820 num_examples: 7176 - name: dev num_bytes: 67924134 num_examples: 14326 download_size: 355095107 dataset_size: 675312294 --- # Dataset Card for "AISHELL1_withLM" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
882
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larryvrh/belle_resampled_78K_CN
2023-09-26T05:01:58.000Z
[ "task_categories:text-generation", "task_categories:conversational", "size_categories:10K<n<100K", "language:zh", "region:us" ]
larryvrh
null
null
1
5
2023-09-25T02:35:33
--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: id dtype: string - name: category dtype: string splits: - name: train num_bytes: 197491538 num_examples: 78000 download_size: 108247334 dataset_size: 197491538 configs: - config_name: default data_files: - split: train path: data/train-* task_categories: - text-generation - conversational language: - zh size_categories: - 10K<n<100K --- # Dataset Card for "belle_resampled_78K_CN" 通过启发式方法过滤后的[BelleGroup/train_3.5M_CN](https://huggingface.co/datasets/BelleGroup/train_3.5M_CN)，移除了语料中明显的错误和低质量内容。 之后进行了均匀采样，从每个类别中提取出6000条最长的对话。 ## 样例 ``` { "id":"66623028", "conversations":[ { "from":"human", "value":"归纳介绍三种不同类型的电影题材" }, { "from":"assistant", "value":"1. 动作片：动作片通常强调动作和战斗场面，故事情节紧凑，充满了紧张和兴奋的氛围。主角一般是具有超凡实力或特殊技能的英雄人物，往往会与反派角色进行一系列激烈的格斗，追逐和爆破等酷炫场面。例如《速度与激情》和《复仇者联盟》等。\n2. 爱情片：爱情片是以爱情为主题的电影，着重呈现角色之间的感情纠葛，展现了爱情的美好和悲壮。情节与角色之间的发展令人深思，增加了观众的感性体验。这种电影的故事情节主要以人类与人类之间的情感变化为主题。例如《泰坦尼克号》和《让子弹飞》等。\n3. 科幻片：科幻片是以未来科技和未知世界为主题的电影，通常包括时间旅行、外星人、虚拟现实、未来社会等各种奇幻的元素。这种电影描绘了一种比现实更加宏伟、更加神秘和惊奇的世界。例如《星际穿越》和《发条橙》等。" } ] } { "id":"18205437", "conversations":[ { "from":"human", "value":"根据给定的食材，编写一道美食菜谱。\n鸡腿肉、蘑菇、洋葱" }, { "from":"assistant", "value":"鸡肉炒蘑菇洋葱\n食材：\n- 鸡腿肉 400克，去骨去皮切成小块\n- 蘑菇 200克，切片\n- 洋葱 1个，切丝\n- 生姜 适量，切丝\n- 酱油 2勺\n- 料酒 1勺\n- 盐 适量\n- 白胡椒粉 适量\n- 植物油 适量\n做法：\n1. 在一个碗里放入切好的鸡腿肉块，加入酱油、料酒和适量的白胡椒粉，搅拌均匀，腌制10分钟。\n2. 热锅凉油，加入姜丝翻炒，放入腌好的鸡肉块翻炒至变色。\n3. 加入洋葱丝和蘑菇，翻炒2-3分钟至蘑菇变软。\n4. 加入适量的盐和少量的水，盖上锅盖焖煮5分钟直至鸡肉熟透。\n5. 最后翻炒几下，使汤汁变浓稠即可。\n温馨提示：\n1. 在腌制鸡肉时，如果想让肉质更嫩滑，可以加入少量的淀粉和蛋清。\n2. 可以根据个人口味加入其他调料，如蒜末、辣椒等。\n3. 洋葱和蘑菇可以用其他蔬菜代替，如青椒、胡萝卜等。" }, { "from":"human", "value":"太好了，我会试着照着你教的做一次，但是我最近买了一部新相机，想让你推荐一些好的拍照地点。" }, { "from":"assistant", "value":"当地的风景区、公园、景点等等都是比较适合拍照的地点。如果你想要一些特别的地方，可以考虑一些建筑群，街道巷子、咖啡馆、书店等具有文艺气息的地方。" }, { "from":"human", "value":"嗯，这些地方都很不错，但是我还想找一些可以体验当地文化和风俗的地点，你有什么好的建议吗？" }, { "from":"assistant", "value":"如果你想要更深入地了解当地文化和风俗，可以考虑参加一些游学活动，比如参观当地的博物馆、参加民俗节庆、尝试当地美食等等。此外，也可以去一些小城镇，感受那里的古朴风情。" } ] } ``` ### 字段： ``` id: 数据id conversations: 数据内容，以对话形式给出，包括多轮和单轮对话的数据 category: 数据类别 ```
2,509
[ [ -0.038330078125, -0.04083251953125, 0.00186920166015625, 0.0229339599609375, -0.03143310546875, -0.0270538330078125, 0.00804901123046875, -0.0266876220703125, 0.0618896484375, 0.04901123046875, -0.043426513671875, -0.046844482421875, -0.045928955078125, 0.02...
NusaCrowd/korpus_nusantara
2023-09-26T12:31:37.000Z
[ "language:ind", "language:jav", "language:xdy", "language:bug", "language:sun", "language:mad", "language:bjn", "language:bbc", "language:msa", "language:min", "license:unknown", "machine-translation", "region:us" ]
NusaCrowd
This parallel corpus was collected from several studies, assignments, and thesis of students of the Informatics Study Program, Tanjungpura University. Some of the corpus are used in the translation machine from Indonesian to local languages http://nustor.untan.ac.id/cammane/. This corpus can be used freely for research purposes by citing the paper https://ijece.iaescore.com/index.php/IJECE/article/download/20046/13738. The dataset is a combination of multiple machine translation works from the author, Herry Sujaini, covering Indonesian to 25 local dialects in Indonesia. Since not all dialects have ISO639-3 standard coding, as agreed with Pak Herry , we decided to group the dataset into the closest language family, i.e.: Javanese, Dayak, Buginese, Sundanese, Madurese, Banjar, Batak Toba, Khek, Malay, Minangkabau, and Tiociu.
@article{sujaini2020improving, title={Improving the role of language model in statistical machine translation (Indonesian-Javanese)}, author={Sujaini, Herry}, journal={International Journal of Electrical and Computer Engineering}, volume={10}, number={2}, pages={2102}, year={2020}, publisher={IAES Institute of Advanced Engineering and Science} }
0
5
2023-09-26T11:15:53
--- license: unknown tags: - machine-translation language: - ind - jav - xdy - bug - sun - mad - bjn - bbc - msa - min --- # korpus_nusantara This parallel corpus was collected from several studies, assignments, and thesis of students of the Informatics Study Program, Tanjungpura University. Some of the corpus are used in the translation machine from Indonesian to local languages http://nustor.untan.ac.id/cammane/. This corpus can be used freely for research purposes by citing the paper https://ijece.iaescore.com/index.php/IJECE/article/download/20046/13738. The dataset is a combination of multiple machine translation works from the author, Herry Sujaini, covering Indonesian to 25 local dialects in Indonesia. Since not all dialects have ISO639-3 standard coding, as agreed with Pak Herry , we decided to group the dataset into the closest language family, i.e.: Javanese, Dayak, Buginese, Sundanese, Madurese, Banjar, Batak Toba, Khek, Malay, Minangkabau, and Tiociu. ## Dataset Usage Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`. ## Citation ``` @article{sujaini2020improving, title={Improving the role of language model in statistical machine translation (Indonesian-Javanese)}, author={Sujaini, Herry}, journal={International Journal of Electrical and Computer Engineering}, volume={10}, number={2}, pages={2102}, year={2020}, publisher={IAES Institute of Advanced Engineering and Science} } ``` ## License Unknown ## Homepage [https://github.com/herrysujaini/korpusnusantara](https://github.com/herrysujaini/korpusnusantara) ### NusaCatalogue For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
1,767
[ [ -0.0362548828125, -0.019012451171875, 0.00933074951171875, 0.024688720703125, -0.01282501220703125, -0.01444244384765625, -0.0382080078125, -0.01404571533203125, 0.022064208984375, 0.0662841796875, -0.01055145263671875, -0.0390625, -0.03228759765625, 0.06457...
sc3069/zx
2023-09-27T09:47:20.000Z
[ "region:us" ]
sc3069
null
null
0
5
2023-09-26T12:27:13
--- dataset_info: features: - name: input dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 10329536 num_examples: 350 download_size: 1991265 dataset_size: 10329536 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "zx" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
465
[ [ -0.0457763671875, 0.0012865066528320312, 0.033843994140625, 0.01067352294921875, -0.024566650390625, -0.00214385986328125, 0.0213470458984375, -0.011505126953125, 0.0572509765625, 0.03192138671875, -0.0780029296875, -0.06768798828125, -0.0362548828125, -0.01...
amitness/mlrs-pos-mt
2023-09-26T16:27:07.000Z
[ "region:us" ]
amitness
null
null
0
5
2023-09-26T16:05:32
--- dataset_info: features: - name: pos_tags sequence: class_label: names: '0': ADJ '1': ADV '2': COMP '3': CONJ_CORD '4': CONJ_SUB '5': DEF '6': FOC '7': FUT '8': GEN '9': GEN_DEF '10': GEN_PRON '11': HEMM '12': INT '13': KIEN '14': LIL '15': LIL_DEF '16': LIL_PRON '17': NEG '18': NOUN '19': NOUN_PROP '20': NUM_CRD '21': NUM_FRC '22': NUM_ORD '23': NUM_WHD '24': PART_ACT '25': PART_PASS '26': PREP '27': PREP_DEF '28': PREP_PRON '29': PROG '30': PRON_DEM '31': PRON_DEM_DEF '32': PRON_INDEF '33': PRON_INT '34': PRON_PERS '35': PRON_PERS_NEG '36': PRON_REC '37': PRON_REF '38': QUAN '39': VERB '40': VERB_PSEU '41': X_ABV '42': X_BOR '43': X_DIG '44': X_ENG '45': X_FOR '46': X_PUN - name: tokens sequence: string splits: - name: train num_bytes: 1443609 num_examples: 4935 - name: validation num_bytes: 234214 num_examples: 616 - name: test num_bytes: 212745 num_examples: 616 download_size: 0 dataset_size: 1890568 --- # Dataset Card for "mlrs-pos-mt" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1,624
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pixel-coping/pubmed_derived
2023-10-06T02:26:15.000Z
[ "language:en", "region:us" ]
pixel-coping
null
null
0
5
2023-09-28T11:45:25
--- configs: - config_name: default data_files: - split: pubmed path: data/pubmed-* - split: nonbiomedical path: data/nonbiomedical-* - split: counterfactual path: data/counterfactual-* - split: casual path: data/casual-* - split: rap path: data/rap-* dataset_info: features: - name: PubmedData struct: - name: ArticleIdList sequence: - name: ArticleId sequence: string - name: PublicationStatus dtype: string - name: History struct: - name: PubMedPubDate sequence: - name: Year dtype: int32 - name: Month dtype: int32 - name: Day dtype: int32 - name: ReferenceList sequence: - name: Citation dtype: string - name: CitationId dtype: int32 - name: text dtype: string splits: - name: pubmed num_bytes: 1166668 num_examples: 1000 - name: nonbiomedical num_bytes: 1141909 num_examples: 1000 - name: counterfactual num_bytes: 1179347 num_examples: 991 - name: casual num_bytes: 1205949 num_examples: 1000 - name: rap num_bytes: 1252260 num_examples: 1000 download_size: 3357032 dataset_size: 5946133 language: - en --- # A corpus of rewritten pubmed abstracts This corpus contains a 1k example subset from the [pubmed](https://huggingface.co/datasets/pubmed) corpus and various rewritten versions. The rewritten versions change one aspect of the orginal text and keeps other aspects unchanged as much as possible. - **Paper:** [Dissecting learning and forgetting in language model finetuning](link pending) Another corpus of rewritten general text is provided here: [c4_derived](https://huggingface.co/datasets/pixel-coping/c4_derived) ### Data Splits - pubmed: a 1k example subset from the original pubmed corpus - nonbiomedical: main topic of text changed to nonbiomedical topic - counerfactual: factuals knowledge in text replaced by incorrect factuals - casual: style of text changed to a casual style - rap: style of text changed to a rap style ## Dataset Creation Text is generated by ChatGPT with corresponding prompts. Refer to the paper for the instructions used to generate text in each derived subsets. Please check the terms and conditions of pubmed data [here](https://www.nlm.nih.gov/databases/download/terms_and_conditions.html). ### Citation Information ``` pending ```
2,449
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skaltenp/textworld_turn_top_demonstrations_no_drop
2023-09-29T09:55:38.000Z
[ "region:us" ]
skaltenp
null
null
0
5
2023-09-28T15:56:52
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* - split: test path: data/test-* dataset_info: features: - name: id dtype: string - name: demonstration sequence: sequence: string - name: moves dtype: int64 - name: score dtype: int64 splits: - name: train num_bytes: 9260283 num_examples: 2640 - name: valid num_bytes: 453898 num_examples: 132 - name: test num_bytes: 1343379 num_examples: 268 download_size: 1932762 dataset_size: 11057560 --- # Dataset Card for "textworld_turn_top_demonstrations_no_drop" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
793
[ [ -0.047332763671875, -0.03302001953125, 0.00771331787109375, 0.02325439453125, -0.01462554931640625, -0.0028018951416015625, 0.005313873291015625, 0.00640106201171875, 0.036285400390625, 0.040313720703125, -0.08587646484375, -0.0633544921875, -0.05218505859375, ...
adityarra07/ATC_5
2023-09-28T22:36:31.000Z
[ "region:us" ]
adityarra07
null
null
0
5
2023-09-28T22:36:27
--- dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string - name: id dtype: string splits: - name: train num_bytes: 113637638.0 num_examples: 504 download_size: 112879747 dataset_size: 113637638.0 --- # Dataset Card for "ATC_5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
429
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AnikaBasu/CyberbullyingDataset
2023-09-29T17:59:07.000Z
[ "region:us" ]
AnikaBasu
null
null
1
5
2023-09-29T03:35:47
Entry not found
15
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Honaker/eurosat_dataset
2023-10-24T13:01:03.000Z
[ "task_categories:image-classification", "license:mit", "region:us" ]
Honaker
null
null
0
5
2023-09-29T15:07:13
--- license: mit dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': AnnualCrop '1': Forest '2': HerbaceousVegetation '3': Highway '4': Industrial '5': Pasture '6': PermanentCrop '7': Residential '8': River '9': SeaLake splits: - name: train num_bytes: 70666516.8 num_examples: 21600 - name: validation num_bytes: 8700747.8 num_examples: 2700 - name: test num_bytes: 8631409.1 num_examples: 2700 download_size: 93886033 dataset_size: 87998673.69999999 task_categories: - image-classification --- # Dataset Card for EuroSat ## Table of Contents - [How to Use](#How-to-Use) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Additional Information](#additional-information) - [Licensing Information](#licensing-information) ## How to Use - Install [datasets](https://pypi.org/project/datasets/): ```bash pip install datasets ``` - How to use in Python ```py from datasets import load_dataset train_data = load_dataset("Honaker/eurosat_dataset", split="train") ``` ## Dataset Description - **Homepage:** https://zenodo.org/record/7711810#.ZAm3k-zMKEA ### Dataset Summary EuroSat is an image classification dataset with 10 different classes on satellite imagery. There is over 27,000 labeled images. ## Dataset Structure The dataset is structured as follows: ```py DatasetDict({ train: Dataset({ features: ['image', 'labels'], num_rows: 21600 }) validation: Dataset({ features: ['image', 'labels'], num_rows: 2700 }) test: Dataset({ features: ['image', 'labels'], num_rows: 2700 }) }) ``` ### Data Instances An example of the data for one image is: ```py { 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=64x64>, 'labels': 0 } ``` With the type of each field being defined as: ```py { 'image': <PIL.JpegImagePlugin.JpegImageFile>, 'labels': Integer ``` ### Data Fields The dataset has the following fields: - 'image': Satellite image that is of type <PIL.TiffImagePlugin.TiffImageFile image> - 'labels': the label of the Satellite image as an integer ### Data Splits | | Train | Validation | Test | |----------------|--------|------------|------| | Images | 21600 | 2700 | 2700 | ## Additional Information ### Licensing Information EuroSat is licensed under a MIT
2,705
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decoy4600/sgm-shiro1
2023-09-29T16:02:56.000Z
[ "region:us" ]
decoy4600
null
null
0
5
2023-09-29T15:52:47
Entry not found
15
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shelvin94/Darija_translation
2023-09-29T16:38:45.000Z
[ "task_categories:translation", "language:en", "language:ar", "region:us" ]
shelvin94
null
null
1
5
2023-09-29T16:14:53
--- task_categories: - translation language: - en - ar pretty_name: Darija_translation --- multilinguality: - multilingual language: - en - TRANSCRIBED MOROCCAN ARABIC
176
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DamarJati/GreenLabel-Waste-Types
2023-09-30T06:54:29.000Z
[ "task_categories:text-classification", "size_categories:10K<n<100K", "language:en", "region:us" ]
DamarJati
null
null
1
5
2023-09-29T22:14:22
--- viewer: true task_categories: - text-classification language: - en pretty_name: GreenLabel-Waste-Types size_categories: - 10K<n<100K --- Original Datasets: https://www.kaggle.com/datasets/techsash/waste-classification-data?select=DATASET
242
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MaxReynolds/Lee_Souder_RocketLauncher
2023-09-30T01:57:33.000Z
[ "region:us" ]
MaxReynolds
null
null
0
5
2023-09-29T23:50:29
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 279829.0 num_examples: 28 download_size: 0 dataset_size: 279829.0 --- # Dataset Card for "Lee_Souder_RocketLauncher" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
480
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nfliu/decontextualization
2023-10-01T00:32:58.000Z
[ "region:us" ]
nfliu
null
null
0
5
2023-10-01T00:32:38
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: example_id dtype: int64 - name: original_sentence dtype: string - name: page_title dtype: string - name: section_title sequence: string - name: paragraph_text dtype: string - name: sentence_start_byte_offset dtype: int64 - name: sentence_end_byte_offset dtype: int64 - name: article_url dtype: string - name: annotations list: - name: category dtype: string - name: decontextualized_sentence dtype: string - name: example_id dtype: int64 - name: original_sentence dtype: string - name: worker_id dtype: int64 splits: - name: train num_bytes: 15224065 num_examples: 11290 - name: validation num_bytes: 5315183 num_examples: 1945 - name: test num_bytes: 5359001 num_examples: 1945 download_size: 13617475 dataset_size: 25898249 --- # Dataset Card for "decontextualization" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1,255
[ [ -0.0362548828125, -0.0183258056640625, 0.00662994384765625, 0.0256500244140625, -0.020294189453125, 0.0024261474609375, 0.0132904052734375, -0.02740478515625, 0.058258056640625, 0.01354217529296875, -0.048980712890625, -0.0673828125, -0.047119140625, -0.0125...
Spiderman01/Domestic_violence_info_support_fromposts
2023-10-02T10:22:42.000Z
[ "region:us" ]
Spiderman01
null
null
0
5
2023-10-02T08:03:26
--- dataset_info: features: - name: train dtype: string - name: text dtype: string splits: - name: train num_bytes: 945794 num_examples: 273 download_size: 527319 dataset_size: 945794 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "Domestic_violence_info_support_fromposts" This is the dataset of posts from domestic violence victim, which include the content of the post and its kinds of information support. There are total 14 kinds of info support need:\ (1) Shelters/ DV center/ Agency\ (2) Legal\ (3) Childbearing\ (4) Police\ (5) Wound assessment/record\ (6) DV report procedure/Documentation\ (7) Safety planning\ (8) Finance\ (9) Housing\ (10) Healthcare information (counselling, psychiatrist, doctor etc.)\ (11) DV survivors’ network/ (Online) support groups\ (12) DV knowledge\ (13) Communication\ (14) Miscellaneous (Other) [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1,063
[ [ -0.018157958984375, -0.049346923828125, 0.0262908935546875, 0.032257080078125, -0.0263214111328125, -0.00511932373046875, 0.0364990234375, 0.01091766357421875, 0.015655517578125, 0.035064697265625, -0.06597900390625, -0.050811767578125, -0.05413818359375, 0....
Sviluppo/test02
2023-10-03T07:46:26.000Z
[ "region:us" ]
Sviluppo
null
null
0
5
2023-10-02T13:54:41
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/datasets-cards {} --- # Dataset Card for Dataset Name ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
1,732
[ [ -0.038177490234375, -0.02984619140625, -0.0036067962646484375, 0.027130126953125, -0.0323486328125, 0.0037822723388671875, -0.01727294921875, -0.02020263671875, 0.049041748046875, 0.04046630859375, -0.0634765625, -0.08062744140625, -0.052947998046875, 0.0020...
nairaxo/shimaore-asr
2023-10-02T18:19:28.000Z
[ "region:us" ]
nairaxo
null
null
0
5
2023-10-02T18:15:40
--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: path dtype: string - name: sentence dtype: string splits: - name: train num_bytes: 375585328.0 num_examples: 787 download_size: 373013374 dataset_size: 375585328.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "shikomori-asr" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
556
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ayoubkirouane/arxiv-physics
2023-10-02T19:00:27.000Z
[ "region:us" ]
ayoubkirouane
null
null
0
5
2023-10-02T19:00:24
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 21113244.0 num_examples: 30231 download_size: 11217441 dataset_size: 21113244.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "arxiv-physics" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
488
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nguyenthanhdo/viettel_v3.2
2023-10-03T08:52:34.000Z
[ "region:us" ]
nguyenthanhdo
null
null
0
5
2023-10-03T08:52:17
--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: translated dtype: bool - name: output_len dtype: int64 - name: source dtype: string - name: input dtype: string splits: - name: train num_bytes: 327564182.0 num_examples: 100000 download_size: 157982995 dataset_size: 327564182.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "viettel_v3.2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
638
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rohanbalkondekar/generate_json_long
2023-10-05T11:58:38.000Z
[ "region:us" ]
rohanbalkondekar
null
null
0
5
2023-10-03T12:24:09
Entry not found
15
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DialogueCharacter/english_general_instruction_with_reward_score_judged_by_13B_llama2
2023-10-29T03:49:25.000Z
[ "region:us" ]
DialogueCharacter
null
null
0
5
2023-10-03T14:34:05
--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: reward_score dtype: float64 splits: - name: train num_bytes: 3053305957 num_examples: 1006809 download_size: 1633060464 dataset_size: 3053305957 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "general_instruction_with_reward_score_judged_by_13B_llama2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
576
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shossain/qa-no-pad-16384
2023-10-15T03:21:50.000Z
[ "region:us" ]
shossain
null
null
0
5
2023-10-04T04:56:35
--- dataset_info: features: - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: train num_bytes: 691233451 num_examples: 14119 download_size: 181098407 dataset_size: 691233451 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "qa-no-pad-16384" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
538
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Mxode/University-News-Instruction-Zh
2023-10-04T09:43:25.000Z
[ "task_categories:zero-shot-classification", "task_categories:summarization", "task_categories:text-generation", "size_categories:100K<n<1M", "language:zh", "license:apache-2.0", "news", "campus", "region:us" ]
Mxode
null
null
0
5
2023-10-04T09:09:32
--- license: apache-2.0 task_categories: - zero-shot-classification - summarization - text-generation tags: - news - campus size_categories: - 100K<n<1M language: - zh --- 一些高校校园新闻，约 65k * 3(类任务) 条，**稍微做了一点点脱敏，尽可能地遮盖了作者名等**。数据已经整理成了指令的形式，格式如下： ```json { "id": <id>, "category": "(title_summarize|news_classify|news_generate)", "instruction": <对应的具体指令>, "input": <空>, "output": <指令对应的输出> } ``` 总共三类任务：**标题总结**、**栏目分类**、**新闻生成**，本质上是利用新闻元数据中的标题、栏目、内容排列组合生成的，所以可以保证数据完全准确。每个字段内容已经整理成了**单行**的格式。下面是三类任务的样例： ```json // 标题总结 { "id": 22106, "category": "title_summarize", "instruction": "请你给下面的新闻取一则标题：\n点击图片观看视频 　　科技创新潜质人才是海院自主选拔的一种新尝试，根据规定，凡在高中阶段获得省级科技创新大赛一等奖或以上的应届高中毕业生，都可申请报名。今年苏浙沪三地共有300多名学生，申请以科技创新潜质人才身份入学海城海院。经过专家甄选，今天上午，有82名学生参加了考试。 　　上午的面试不考语数外，考生要靠自己的科技成果来证明自己是具有科技创新潜质的人才。记者发现，学生们带来的创新成果五花八门，涉及生物、微电子等多种前沿学科。经过上午的筛选，下午只剩下一半的学生进入了特色测试部分,这部分仍不考语数外，重点考察学生的发散性思维，及兴趣爱好和潜质，海院将根据测试结果，最终确定获得科技创新潜质人才的自主选拔认定名单，进入名单的考生，高考成绩只要达到当地的一本线，就能被海院录取。", "input": "", "output": "该新闻的标题可以是：《不考语数外 海院自主选拔创新潜质人才》" } ``` ```json // 栏目分类 { "id": 134781, "category": "news_classify", "instruction": "根据下面的新闻，归纳出它的分类：\n## 英国格拉斯哥大学医学院副院长访问海城海院生命学院\n\n11月20日，英国格拉斯哥大学（University of Glasgow，以下简称格大）医学院副院长Chris Loughrey一行访问海城海院生命科学技术学院，生命学院副院长张晓君出席会议，魏芳、王晓雷、徐沁等多位教师与会参加交流。格大和海城海院同为国际大学交流组织Universitas 21的成员，在生命和医学领域合作紧密。双方互相介绍了两校在生命科学领域的学科专业、课程体系、学生培养等发展情况。在相互交流中，双方希望在这个宏观的合作框架下，逐步增进相互了解，在人才培养、科学研究等方面形成更多更实质性的合作。格拉斯哥大学是英联邦地区建校历史最悠久的四所大学之一。研究经费及教育质量均排名英国前十，出过7位诺奖获得者及3位英国首相。格大下设四大学院，其中医学院有教职员工2000余人，学生5000余人，医学院下设七个研究中心，涉及分子/细胞/系统生物学、植物、微生物、免疫、癌症、生物多样性、神经科学、心血管医学等领域。", "input": "", "output": "本则新闻的分类栏目是：综合新闻" } ``` ```json // 新闻生成 { "id": 61402, "category": "news_generate", "instruction": "帮我写一则综合新闻栏目的新闻，标题是机械与动力工程学院举办心理健康月系列活动之“与压力一路同行”", "input": "", "output": "《机械与动力工程学院举办心理健康月系列活动之“与压力一路同行”》：\n\n5月27日，机械与动力工程学院心理健康月系列活动之“与压力一路同行”讲座在高田会堂举行。活动特邀海城铁路学院兼职心理咨询师李毅作为主讲嘉宾，与大家分享如何正确认识压力以及积极应对压力 。本次活动由机械与动力工程学院王睿瑞主持。相较于受到心理教育较为全面的本科生同学，研究生同学面临更多的现实问题，更加需要心理健康的知识，来实现压力与情绪的合理管理。李毅首先结合心理学知识，从生理学、心理学等多个角度带领同学们认识了压力的本质，并指出并非所有压力都是有害的，负性的慢性压力对人产生危害，合理规避有害的压力尤为重要，关键是找到自己的最佳压力水平。李毅进一步讲述了心理压力与认知、情绪、行为之间的关系。通过对“情绪的身体地图”的说明，使同学们更加深刻地体会到了“情绪丰富了体验，情绪述说着需求，情绪激发出行为，情绪联结了他人”的含义。最后，李毅从时间管理、简化生活、认知需求、活在当下、友善待人等方面给出了应对压力的建议，并寄语大家“与并不完美的自我共处，与压力一路同行”。机械与动力工程学院心理健康月系列活动已举办4年，覆盖2700余名研究生，力求以多样的活动形式帮助学生和导师了解更多的心理知识，引导大家关爱自己、关心他人。" } ``` 这里也给出数据的分位点（`instruction` + `output` 的长度），可按需修剪： ``` count 196101.000000 mean 1059.199912 std 571.623822 min 32.000000 0% 32.000000 5% 369.000000 10% 471.000000 15% 539.000000 20% 596.000000 25% 649.000000 30% 700.000000 35% 753.000000 40% 806.000000 45% 862.000000 50% 920.000000 55% 983.000000 60% 1053.000000 65% 1132.000000 70% 1225.000000 75% 1337.000000 80% 1473.000000 85% 1652.000000 90% 1898.000000 95% 2270.000000 max 3054.000000 ```
3,012
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legacy107/qa_wikipedia_sentence_transformer_negative_farming
2023-10-04T13:45:59.000Z
[ "region:us" ]
legacy107
null
null
0
5
2023-10-04T13:45:45
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answer dtype: string - name: negatives sequence: string - name: positive dtype: string splits: - name: train num_bytes: 147665416 num_examples: 27742 - name: test num_bytes: 18591659 num_examples: 3468 - name: validation num_bytes: 18443101 num_examples: 3458 download_size: 37917812 dataset_size: 184700176 --- # Dataset Card for "qa_wikipedia_sentence_transformer_negative_farming" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
920
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derekiya/sql-create-context-llama2-78k
2023-10-05T00:03:58.000Z
[ "region:us" ]
derekiya
null
null
0
5
2023-10-04T15:13:55
This is dataset contain (78k samples) of the excellent [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context/viewer/default/train) and changed to [derekiya/sql-create-context-llama2-78k](https://huggingface.co/datasets/derekiya/sql-create-context-llama2-78k/viewer/default/train) dataset, processed to match Llama 2's prompt format as described in this article. Useful if you don't want to reformat it by yourself (e.g., using a script). It was designed for this article about fine-tuning a Llama 2 (chat)
536
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ewre324/appy-llama2-1k
2023-10-06T13:28:59.000Z
[ "region:us" ]
ewre324
null
null
0
5
2023-10-04T16:06:49
--- dataset_info: features: - name: prompt dtype: large_string - name: main_topic dtype: large_string - name: subtopic dtype: large_string - name: adjective dtype: large_string - name: action_verb dtype: large_string - name: scenario dtype: large_string - name: target_audience dtype: large_string - name: programming_language dtype: large_string - name: common_sense_topic dtype: large_string - name: idx dtype: int64 - name: response dtype: large_string - name: text dtype: string splits: - name: train num_bytes: 236790880 num_examples: 100000 download_size: 100584419 dataset_size: 236790880 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "appy-llama2-1k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
944
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LLMGlobalyTest/categories-11k
2023-10-04T16:42:01.000Z
[ "region:us" ]
LLMGlobalyTest
null
null
0
5
2023-10-04T16:40:20
Entry not found
15
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autoevaluate/autoeval-eval-medical_questions_pairs-default-d0c070-68078145610
2023-10-04T17:31:43.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
0
5
2023-10-04T17:30:06
--- type: predictions tags: - autotrain - evaluation datasets: - medical_questions_pairs eval_info: task: summarization model: ARTeLab/it5-summarization-ilpost metrics: [] dataset_name: medical_questions_pairs dataset_config: default dataset_split: train col_mapping: text: question_1 target: question_2 --- # 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: ARTeLab/it5-summarization-ilpost * Dataset: medical_questions_pairs * Config: default * Split: train To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@halmj](https://huggingface.co/halmj) for evaluating this model.
874
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Intuit-GenSRF/toxigen-test-annotated
2023-10-05T01:50:16.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
0
5
2023-10-05T01:50:15
--- dataset_info: features: - name: text dtype: string - name: labels sequence: string splits: - name: train num_bytes: 103023 num_examples: 940 download_size: 64072 dataset_size: 103023 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "toxigen-test-annotated" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
483
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mrabhi0505/instruction_output_dataset
2023-10-05T11:38:37.000Z
[ "region:us" ]
mrabhi0505
null
null
0
5
2023-10-05T11:37:59
Entry not found
15
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jfrei/GPTNERMED
2023-10-08T22:05:18.000Z
[ "task_categories:token-classification", "task_ids:named-entity-recognition", "annotations_creators:machine-generated", "language_creators:machine-generated", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:de", "bio", "biomedical", "medical", "c...
jfrei
GPTNERMED is a novel open synthesized dataset and neural named-entity-recognition (NER) model for German texts in medical natural language processing (NLP).
@article{FREI2023104478, title = {Annotated dataset creation through large language models for non-english medical NLP}, journal = {Journal of Biomedical Informatics}, volume = {145}, pages = {104478}, year = {2023}, issn = {1532-0464}, doi = {https://doi.org/10.1016/j.jbi.2023.104478}, url = {https://www.sciencedirect.com/science/article/pii/S1532046423001995}, author = {Johann Frei and Frank Kramer}, keywords = {Natural language processing, Information extraction, Named entity recognition, Data augmentation, Knowledge distillation, Medication detection}, abstract = {Obtaining text datasets with semantic annotations is an effortful process, yet crucial for supervised training in natural language processing (NLP). In general, developing and applying new NLP pipelines in domain-specific contexts for tasks often requires custom-designed datasets to address NLP tasks in a supervised machine learning fashion. When operating in non-English languages for medical data processing, this exposes several minor and major, interconnected problems such as the lack of task-matching datasets as well as task-specific pre-trained models. In our work, we suggest to leverage pre-trained large language models for training data acquisition in order to retrieve sufficiently large datasets for training smaller and more efficient models for use-case-specific tasks. To demonstrate the effectiveness of your approach, we create a custom dataset that we use to train a medical NER model for German texts, GPTNERMED, yet our method remains language-independent in principle. Our obtained dataset as well as our pre-trained models are publicly available at https://github.com/frankkramer-lab/GPTNERMED.} }
0
5
2023-10-05T12:39:54
--- annotations_creators: - machine-generated language: - de language_creators: - machine-generated license: [] multilinguality: - monolingual pretty_name: GPTNERMED size_categories: - 1K<n<10K source_datasets: - original tags: - bio - biomedical - medical - clinical task_categories: - token-classification task_ids: - named-entity-recognition --- # GPTNERMED Dataset for German medical NER entities ## Dataset Description - **Repository:** https://github.com/frankkramer-lab/GPTNERMED - **Paper:** https://doi.org/10.1016/j.jbi.2023.104478 - **ArXiv-Preprint:** https://arxiv.org/abs/2208.14493 ## Dataset Summary This dataset contains the synthetic German sentences with annotated entities (`Medikation`, `Dosis`, `Diagnose`) from the GPTNERMED project. The sentences as well as the annotations are **not** manually validated by medical professionals and therefore this dataset is **no** gold standard dataset. The dataset consists of 9,845 sentences (121,027 tokens by SpaCy Tokenizer, 245,107 tokens by the GPT tokenizer) with the following labels: | Label | Count | #Tokens (SpaCy) | | --- | --- | -- | | Medikation | 9868 | 10138 | | Dosis | 7547 | 15845 | | Diagnose | 5996 | 7656 | ## Dataset Structure The train/test/dev-split (80%, 10%, 10%) of the data loader is as follows:\ `<-- train: 0.8 --><-- test: 0.1 --><-- dev: 0.1 -->`\ The splits are selected arbitrarily as the dataloader requires a split configuration. All sample sentences are however homogeneous in origin and splits could also be performed otherwise. Every sample is a sentence with its text (property `sentence`) and its corresponding NER labels (property `ner_labels` / List of labels).\ Every NER label entry has a char-wise start and stop index (property `start`, `stop`) and a label class (property `ner_class`). ### Citation Information If you like our work, cite our paper and give us a star on GitHub.\ (See the links above)
1,934
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teragron/reviews
2023-10-09T23:55:54.000Z
[ "task_categories:text-generation", "size_categories:1M<n<10M", "language:en", "license:mit", "finance", "region:us" ]
teragron
null
null
0
5
2023-10-05T13:32:32
--- license: mit language: - en tags: - finance pretty_name: review_me size_categories: - 1M<n<10M task_categories: - text-generation --- Following packages are necessary to compile the model in C: ```bash sudo apt install gcc-7 ``` ```bash sudo apt-get install build-essential ``` ```python for i in range(1,21): !wget https://huggingface.co/datasets/teragron/reviews/resolve/main/chunk_{i}.bin ``` ```bash git clone https://github.com/karpathy/llama2.c.git ``` ```bash cd llama2.c ``` ```bash pip install -r requirements.txt ``` Path: data/TinyStories_all_data
570
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slaqrichi/processed_Cosmic_dataset_V3_inst_splitted
2023-10-05T14:01:46.000Z
[ "region:us" ]
slaqrichi
null
null
0
5
2023-10-05T14:01:37
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 77676.57894736843 num_examples: 85 - name: test num_bytes: 4569.210526315789 num_examples: 5 - name: valid num_bytes: 4569.210526315789 num_examples: 5 download_size: 42971 dataset_size: 86815.0 --- # Dataset Card for "processed_Cosmic_dataset_V3_inst_splitted" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
690
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Fraol/RunMetrics
2023-10-05T15:59:41.000Z
[ "region:us" ]
Fraol
null
null
0
5
2023-10-05T15:59:22
--- dataset_info: features: - name: source dtype: string - name: path_name dtype: string - name: file_name dtype: string - name: ref_type dtype: string - name: ref_status dtype: string - name: hash dtype: string - name: class_name dtype: string - name: method_name dtype: string - name: row_number dtype: int64 splits: - name: train num_bytes: 2296248627 num_examples: 385811 download_size: 480698181 dataset_size: 2296248627 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "RunMetrics" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
752
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librarian-bots/arxiv_abstracts
2023-10-12T09:26:52.000Z
[ "region:us" ]
librarian-bots
null
null
0
5
2023-10-05T18:42:24
--- dataset_info: features: - name: title dtype: string - name: abstract dtype: string - name: url dtype: string - name: category dtype: string - name: prediction dtype: string - name: probability dtype: float64 - name: arxiv_id dtype: string splits: - name: train num_bytes: 715878 num_examples: 500 download_size: 411327 dataset_size: 715878 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "arxiv_abstracts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
663
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joey234/sst2_affix_pos
2023-10-23T02:28:30.000Z
[ "region:us" ]
joey234
null
null
0
5
2023-10-05T23:27:32
--- dataset_info: features: - name: idx dtype: int32 - name: sentence dtype: string - name: label dtype: class_label: names: '0': negative '1': positive - name: words_with_affixes sequence: string splits: - name: validation num_bytes: 8687 num_examples: 55 download_size: 9498 dataset_size: 8687 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "sst2_affix_pos" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
640
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Falah/Islamic_forest_image_prompts
2023-10-06T07:54:16.000Z
[ "region:us" ]
Falah
null
null
0
5
2023-10-06T07:54:15
--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3517467 num_examples: 10000 download_size: 151517 dataset_size: 3517467 --- # Dataset Card for "Islamic_forest_image_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
373
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lafnac/sl-dataset
2023-10-06T10:09:07.000Z
[ "task_categories:text-classification", "size_categories:1M<n<10M", "language:ar", "license:afl-3.0", "region:us" ]
lafnac
null
null
0
5
2023-10-06T10:01:10
--- license: afl-3.0 task_categories: - text-classification language: - ar size_categories: - 1M<n<10M --- # Dataset Card for Dataset Name ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
1,638
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carnival13/massive_val_DA2_tokenized
2023-10-06T13:41:11.000Z
[ "region:us" ]
carnival13
null
null
0
5
2023-10-06T13:41:06
--- dataset_info: features: - name: pass_label dtype: int64 - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 16518290 num_examples: 24160 download_size: 3770585 dataset_size: 16518290 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "massive_val_DA2_tokenized" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
545
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Intuit-GenSRF/tweet-eval-hate-es
2023-10-06T20:05:33.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
0
5
2023-10-06T20:05:31
--- 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)
566
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Intuit-GenSRF/hate-speech-offensive-es
2023-10-06T22:24:18.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
0
5
2023-10-06T22:24:15
--- 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)
573
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ContextualAI/hellaswag
2023-10-06T23:57:13.000Z
[ "region:us" ]
ContextualAI
null
null
0
5
2023-10-06T23:56:54
--- dataset_info: features: - name: query dtype: string - name: choices sequence: string - name: gold_generation dtype: string splits: - name: dev num_bytes: 9610103 num_examples: 10042 - name: test num_bytes: 7885767 num_examples: 10003 download_size: 10451785 dataset_size: 17495870 --- # Dataset Card for "hellaswag" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
498
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Fraol/DedupedRefDatasetWMetricF
2023-10-07T01:04:15.000Z
[ "region:us" ]
Fraol
null
null
0
5
2023-10-07T01:03:46
--- dataset_info: features: - name: source dtype: string - name: path_name dtype: string - name: file_name dtype: string - name: ref_type dtype: string - name: ref_status dtype: string - name: hash dtype: string - name: class_name dtype: string - name: method_name dtype: string - name: row_number dtype: int64 - name: cbo dtype: float64 - name: wmc dtype: float64 - name: lcom* dtype: float64 - name: loc dtype: float64 splits: - name: train num_bytes: 2308835214 num_examples: 385811 download_size: 482442415 dataset_size: 2308835214 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "DedupedRefDatasetWMetricF" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
901
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gayathrimanoj/dataset_cpp
2023-10-07T09:06:39.000Z
[ "region:us" ]
gayathrimanoj
null
null
1
5
2023-10-07T09:06:18
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
Intuit-GenSRF/joangaes-depression-es
2023-10-07T12:00:23.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
0
5
2023-10-07T12:00:20
--- 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: 31578828 num_examples: 25828 download_size: 19244935 dataset_size: 31578828 --- # Dataset Card for "joangaes-depression-es" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
612
[ [ -0.036651611328125, -0.0207366943359375, 0.0266571044921875, 0.0298919677734375, -0.0125274658203125, -0.01523590087890625, 0.01255035400390625, 0.002140045166015625, 0.08013916015625, 0.0335693359375, -0.06951904296875, -0.0650634765625, -0.05828857421875, ...
Buffett/ntuadl_hw1
2023-10-07T12:59:32.000Z
[ "region:us" ]
Buffett
null
null
0
5
2023-10-07T12:39:58
Entry not found
15
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layoric/tiny-codes-alpaca-csharp
2023-10-08T02:45:13.000Z
[ "region:us" ]
layoric
null
null
0
5
2023-10-08T02:33:48
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: instruction dtype: string - name: main_topic dtype: string - name: subtopic dtype: string - name: adjective dtype: string - name: action_verb dtype: string - name: scenario dtype: string - name: target_audience dtype: string - name: programming_language dtype: string - name: common_sense_topic dtype: string - name: idx dtype: int64 - name: output dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 326727978 num_examples: 125478 download_size: 126103184 dataset_size: 326727978 --- # Dataset Card for "tiny-codes-alpaca-csharp" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
909
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Prisha290/Dataset_onlycorrect
2023-10-08T05:58:51.000Z
[ "region:us" ]
Prisha290
null
null
0
5
2023-10-08T05:57:42
Entry not found
15
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rongrong77/ADL_HW1
2023-10-08T06:52:58.000Z
[ "region:us" ]
rongrong77
null
null
0
5
2023-10-08T06:47:03
Entry not found
15
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Ronal999/finance-alpaca-demo
2023-10-08T12:51:43.000Z
[ "region:us" ]
Ronal999
null
null
1
5
2023-10-08T12:51:39
--- dataset_info: features: - name: text dtype: string - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: prompt dtype: string splits: - name: train num_bytes: 825832 num_examples: 690 download_size: 456544 dataset_size: 825832 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "finance-alpaca-demo" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
587
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lollox/math_dataset_50k
2023-10-08T14:51:58.000Z
[ "region:us" ]
lollox
null
null
0
5
2023-10-08T14:04:54
task_categories: - question-answering ---
42
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AryanNsc/spacehubdataset
2023-10-08T16:41:27.000Z
[ "region:us" ]
AryanNsc
null
null
0
5
2023-10-08T16:15:48
Entry not found
15
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hanifabdlh/quac-merged
2023-10-09T02:15:54.000Z
[ "region:us" ]
hanifabdlh
null
null
0
5
2023-10-09T02:15:37
--- dataset_info: features: - name: context dtype: string - name: instruction dtype: string - name: response dtype: string - name: instruction_source dtype: string splits: - name: train num_bytes: 271212149 num_examples: 482055 download_size: 142626540 dataset_size: 271212149 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "quac-merged" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
574
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d4un/training-bias
2023-10-09T05:12:26.000Z
[ "region:us" ]
d4un
null
null
0
5
2023-10-09T03:15:54
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/datasets-cards {} --- # Dataset Card for Dataset Name ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ### Supported Tasks and Leaderboards [More Information Needed] ### Languages This dataset is purely in English. Some of the responses were generated by ChatGPT. ### Discussion of Biases This dataset intentionally carries gender and job-related biases which reflect ones that exist in society, for the research purposes of examining the effects the biases have on the model. Creators do not support these biases.
1,029
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kelzla/ds_test1
2023-10-09T05:35:13.000Z
[ "region:us" ]
kelzla
null
null
0
5
2023-10-09T05:22:40
Entry not found
15
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kelzla/ds_test2
2023-10-09T07:14:01.000Z
[ "region:us" ]
kelzla
null
null
0
5
2023-10-09T07:02:05
Entry not found
15
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Falah/coloring_book_animals
2023-10-09T09:09:03.000Z
[ "region:us" ]
Falah
null
null
0
5
2023-10-09T09:09:02
--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 284135 num_examples: 1000 download_size: 3100 dataset_size: 284135 --- # Dataset Card for "coloring_book_animals" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
361
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Globaly/clases21k
2023-10-09T15:49:09.000Z
[ "region:us" ]
Globaly
null
null
0
5
2023-10-09T15:36:25
Entry not found
15
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ContextualAI/tiny-nq_open
2023-10-09T19:42:33.000Z
[ "region:us" ]
ContextualAI
null
null
0
5
2023-10-09T19:42:30
--- dataset_info: features: - name: query dtype: string - name: gold_generation sequence: string splits: - name: dev num_bytes: 7565 num_examples: 100 download_size: 7451 dataset_size: 7565 configs: - config_name: default data_files: - split: dev path: data/dev-* --- # Dataset Card for "tiny-nq_open" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
472
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FinGPT/fingpt-fineval
2023-10-10T06:45:52.000Z
[ "region:us" ]
FinGPT
null
null
0
5
2023-10-10T06:44:46
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: input dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 441991 num_examples: 1056 - name: test num_bytes: 117516 num_examples: 265 download_size: 269193 dataset_size: 559507 --- # Dataset Card for "fingpt-fineval" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
612
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Linyuyu/zhanglunwen
2023-10-12T10:41:33.000Z
[ "region:us" ]
Linyuyu
null
null
0
5
2023-10-10T07:04:43
Entry not found
15
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relaxtraffic/ggenerator2
2023-10-10T09:19:12.000Z
[ "region:us" ]
relaxtraffic
null
null
0
5
2023-10-10T09:16:04
Entry not found
15
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johannes-garstenauer/pooling_net_embeddings_dim_16_masked_dataset_1p
2023-10-10T09:50:55.000Z
[ "region:us" ]
johannes-garstenauer
null
null
0
5
2023-10-10T09:50:52
--- dataset_info: features: - name: last_hs sequence: float32 - name: label dtype: int64 splits: - name: train num_bytes: 51148 num_examples: 673 download_size: 61004 dataset_size: 51148 --- # Dataset Card for "pooling_net_embeddings_dim_16_masked_dataset_1p" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
422
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atulsinghphd/e2r-finetune-data1
2023-10-10T12:18:08.000Z
[ "region:us" ]
atulsinghphd
null
null
0
5
2023-10-10T12:18:07
--- dataset_info: features: - name: text dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 120837 num_examples: 430 download_size: 26024 dataset_size: 120837 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "e2r-finetune-data1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
486
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mponty/code_champs_solutions
2023-10-10T15:34:13.000Z
[ "region:us" ]
mponty
null
null
1
5
2023-10-10T14:43:15
--- dataset_info: features: - name: submission_id dtype: string - name: problem_id dtype: string - name: date dtype: int64 - name: language dtype: string - name: verdict dtype: string - name: cpu_time dtype: int64 - name: memory dtype: int64 - name: code dtype: string - name: source dtype: string - name: testcount dtype: int64 - name: lenght dtype: int64 splits: - name: train num_bytes: 48699691541 num_examples: 34994861 download_size: 18591747965 dataset_size: 48699691541 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "code_champs_solutions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
827
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si3mshady/aws_whitepapers
2023-10-10T20:15:26.000Z
[ "region:us" ]
si3mshady
null
null
0
5
2023-10-10T20:13:40
Entry not found
15
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Coldog2333/tiage
2023-10-11T06:27:05.000Z
[ "size_categories:n<1K", "language:en", "license:mit", "dialogue segmentation", "region:us" ]
Coldog2333
\
\
0
5
2023-10-11T06:15:49
--- license: mit language: - en tags: - dialogue segmentation size_categories: - n<1K --- # Dataset Card for SuperDialseg ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [https://github.com/HuiyuanXie/tiage](https://github.com/HuiyuanXie/tiage) - **Repository:** [https://github.com/HuiyuanXie/tiage](https://github.com/HuiyuanXie/tiage) - **Paper:** TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling - **Leaderboard:** - **Point of Contact:** ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ### Languages: English ## Dataset Structure ### Data Instances ``` { "dial_data": { "tiage": [ { "dial_id": "tiage_dial_001", "turns": [ { "da": "", "role": "user", "turn_id": 0, "utterance": "hello , how are you doing tonight ?", "topic_id": 0, "segmentation_label": 0 }, ... { "da": "", "role": "user", "turn_id": 15, "utterance": "i bet it is oh i could not", "topic_id": 4, "segmentation_label": 1 } ], ... } ] } ``` ### Data Fields #### Dialogue-Level + `dial_id`: ID of a dialogue; + `turns`: All utterances of a dialogue. #### Utterance-Level + `da`: Dialogue Act annotation (here is Null); + `role`: Role annotation (here is user/agent/user/agent... in default); + `turn_id`: ID of an utterance; + `utterance`: Text of the utterance; + `topic_id`: ID (order) of the current topic; + `segmentation_label`: 1: it is the end of a topic; 0: others. ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information MIT ### Citation Information ``` @article{xie2021tiage, title={TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling}, author={Xie, Huiyuan and Liu, Zhenghao and Xiong, Chenyan and Liu, Zhiyuan and Copestake, Ann}, journal={arXiv preprint arXiv:2109.04562}, year={2021} } ``` ### Contributions + Thanks to [@HuiyuanXie](https://github.com/HuiyuanXie/) for collecting this dataset. + Thanks to [@Coldog2333](https://github.com/Coldog2333) for adding this dataset.
4,019
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arifzanko/conversation_kelantan
2023-10-11T06:50:24.000Z
[ "region:us" ]
arifzanko
null
null
0
5
2023-10-11T06:24:34
Entry not found
15
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tanvirsrbd1/vary_merge_dataset_filter_number1
2023-10-11T06:45:43.000Z
[ "region:us" ]
tanvirsrbd1
null
null
0
5
2023-10-11T06:45:38
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: html dtype: string - name: response dtype: string splits: - name: train num_bytes: 3301248 num_examples: 5960 download_size: 1069863 dataset_size: 3301248 --- # Dataset Card for "vary_merge_dataset_filter_number1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
498
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timestap/fighter_jet_captions
2023-10-11T19:09:27.000Z
[ "region:us" ]
timestap
null
null
0
5
2023-10-11T19:09:17
--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 4591975.0 num_examples: 25 download_size: 4584088 dataset_size: 4591975.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "fighter_jet_captions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
483
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smangrul/hf-stack-peft
2023-10-12T06:43:30.000Z
[ "region:us" ]
smangrul
null
null
0
5
2023-10-12T06:43:27
--- dataset_info: features: - name: repo_id dtype: string - name: file_path dtype: string - name: content dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 1280407 num_examples: 158 download_size: 424682 dataset_size: 1280407 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "hf-stack-peft" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
561
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renumics/spotlight-textvqa-enrichment
2023-10-13T10:32:18.000Z
[ "region:us" ]
renumics
null
null
0
5
2023-10-12T14:03:30
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: image_id.embedding sequence: float32 length: 2 - name: question.embedding sequence: float32 length: 2 - name: image.embedding sequence: float32 length: 2 - name: flickr_original_url.embedding sequence: float32 length: 2 - name: flickr_300k_url.embedding sequence: float32 length: 2 - name: set_name.embedding sequence: float32 length: 2 splits: - name: train num_bytes: 1660896 num_examples: 34602 - name: validation num_bytes: 240000 num_examples: 5000 - name: test num_bytes: 275232 num_examples: 5734 download_size: 3028800 dataset_size: 2176128 --- # Dataset Card for "spotlight-textvqa-enrichment" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1,043
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kakooch/ganjoor-processed
2023-10-14T06:21:52.000Z
[ "language:fa", "license:gpl-2.0", "region:us" ]
kakooch
null
null
0
5
2023-10-12T14:04:32
--- name: Persian Poetry Dataset description: | This dataset contains a rich collection of Persian poems along with metadata about the poets and the verses. The data spans various poets and their poems, and includes the verses with associated information about their position within each poem. The dataset is split into a training set and a test set, with 90% of the verses of each poem for each poet used for training and 10% used for testing. license: gpl-2.0 url: https://github.com/ganjoor/desktop/releases/tag/v2.81 citation: | Persian Poetry Dataset. Collected by Kakooch from the Ganjoor Project. Available at: https://huggingface.co/datasets/persian_poetry size: "Custom" language: - fa splits: train: description: "This split contains 90% of the verses of each poem for each poet and is used for training." test: description: "This split contains 10% of the verses of each poem for each poet and is used for testing." --- # Persian Poetry Dataset ## Dataset Description ### Overview This dataset contains a rich collection of Persian poems along with metadata about the poets and the verses. The data spans various poets and their poems, and includes the verses with associated information about their position within each poem. ### Data Collection - **Data Collection Source:** The data is sourced from the [Ganjoor project](https://github.com/ganjoor/). The specific database file can be found in the [releases section](https://github.com/ganjoor/desktop/releases/tag/v2.81) of their GitHub repository. - **Time Period:** Oct-12-2023 - **Collection Methods:** The data was collected by downloading the raw database file from the Ganjoor project's GitHub repository. ### Data Structure The dataset is structured into multiple tables, notably `poem`, `poet`, and `verse` tables which contain information about the poems, poets, and verses respectively. The tables are linked through various ID fields that allow the data to be connected and queried together. - **Poem Table:** - `id`: The unique identifier of a poem. - `cat_id`: A category identifier linking to poet information. - `title`: The title of the poem. - `url`: A URL associated with the poem. - **Poet Table:** - `id`: The unique identifier of a poet. - `name`: The name of the poet. - `cat_id`: A category identifier. - `description`: A textual description or biography of the poet. - **Verse Table:** - `poem_id`: Identifier linking the verse to a particular poem. - `vorder`: Order of the verse within the poem. - `position`: Position of the verse, used to determine if two verses form a hemistich. - `text`: The text of the verse. ### Data Example ```json { "poet": "Sample Poet", "title": "Sample Poem Title", "content": [ { "hemistich": { "verse0": "First part of a hemistich", "verse1": "Second part of a hemistich" } }, { "verse": {"text": "A standalone verse"} } ] } ``` ## Dataset Usage ### Use Cases This dataset can be utilized for various Natural Language Processing and analysis tasks related to Persian poetry, such as: - Poem generation - Poet identification - Style analysis ### Challenges & Limitations - The dataset does not contain long verses that are over 100 characters. - Some poems may contain verses that form hemistichs, which are represented with specific structure in the dataset. ### License GPL-2 (GNU General Public License) inherited from the original source ## Additional Information ### Citation ``` Persian Poetry Dataset. Collected by Kakooch from the Ganjoor Project. Available at: https://huggingface.co/datasets/persian_poetry ``` ### Dataset Link [Download the dataset from Hugging Face](https://huggingface.co/datasets/persian_poetry) ### Contact Email: [kakooch@gmail.com](mailto:kakooch@gmail.com) | GitHub: [kakooch](https://github.com/kakooch) --- *This README was generated by Kakooch.*
3,996
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rouabelgacem/autotrain-data-nlp-bert-ner-testing
2023-10-12T14:53:16.000Z
[ "region:us" ]
rouabelgacem
null
null
0
5
2023-10-12T14:44:39
Entry not found
15
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carnival13/xlmr_test_10shot
2023-10-12T15:00:02.000Z
[ "region:us" ]
carnival13
null
null
0
5
2023-10-12T14:59:28
--- dataset_info: features: - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 948566820 num_examples: 900000 download_size: 204962722 dataset_size: 948566820 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "xlmr_test_10shot" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
503
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surathisin/nvse-dataset-test-1
2023-10-13T06:24:23.000Z
[ "region:us" ]
surathisin
null
null
0
5
2023-10-12T15:23:30
Entry not found
15
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tyzhu/eval_tag_nq_dev_v11_first
2023-10-12T15:36:30.000Z
[ "region:us" ]
tyzhu
null
null
0
5
2023-10-12T15:26:50
--- dataset_info: features: - name: question dtype: string - name: title dtype: string - name: inputs dtype: string - name: targets dtype: string - name: answers struct: - name: answer_start sequence: 'null' - name: text sequence: string - name: id dtype: string - name: titles dtype: string splits: - name: train num_bytes: 3340 num_examples: 10 - name: validation num_bytes: 2403269 num_examples: 6515 download_size: 1389023 dataset_size: 2406609 --- # Dataset Card for "eval_tag_nq_dev_v11_first" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
722
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hippocrates/MedNLI_test
2023-10-18T19:46:58.000Z
[ "region:us" ]
hippocrates
null
null
0
5
2023-10-12T15:48:06
--- dataset_info: features: - name: id dtype: string - name: query dtype: string - name: answer dtype: string - name: choices sequence: string - name: gold dtype: int64 splits: - name: train num_bytes: 4828284 num_examples: 11232 - name: valid num_bytes: 606323 num_examples: 1395 - name: test num_bytes: 605516 num_examples: 1422 download_size: 0 dataset_size: 6040123 --- # Dataset Card for "MedNLI_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
607
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kakooch/persian-poetry-qa
2023-10-14T10:22:45.000Z
[ "language:fa", "license:gpl-2.0", "region:us" ]
kakooch
null
null
0
5
2023-10-12T16:38:52
--- name: Persian Poetry QA Dataset description: | This dataset is structured in a question-answering format derived from a rich collection of Persian poems along with metadata about the poets and the verses. It is designed to be utilized for various Natural Language Processing and analysis tasks related to Persian poetry, such as Question Answering, Text Generation, Language Modeling, and Style Analysis. license: gpl-2.0 url: https://github.com/ganjoor/desktop/releases/tag/v2.81 citation: | Persian Poetry QA Dataset. Collected by Kakooch from the Ganjoor Project. Available at: https://huggingface.co/datasets/persian_poetry size: "Custom" language: - fa splits: train: description: "This split contains Persian poems structured for QA, where each row asks for a sample poem from a specific poet with the poem or verse as the answer." validation: description: "This split contains random selection of 1% of Persian poems in original dataset." features: context: description: "A static string which is 'Persian Poetry or شعر فارسی'." type: "string" question: description: "A string that asks for a sample poem from a specific poet in the format 'یک نمونه از شعر [POET_NAME]'." type: "string" answer: description: "Text of a hemistich or verse." type: "string" answer_start: description: "The starting character index of `answer` within `context` (Note: this is always -1 in the current dataset as `answer` is not a substring of `context`)." type: "int32" configs: - config_name: default data_files: - split: train path: poems-qa.csv --- # Persian Poetry Dataset ## Dataset Description ### Overview This dataset contains a collection of Persian poems structured in a question-answering format. The dataset is derived from various Persian poets and their poems, providing a rich source for exploring Persian poetry in a structured manner suitable for machine learning applications, especially in natural language processing tasks like question answering. ### Data Collection - **Data Collection Source:** The data is sourced from the [Ganjoor project](https://github.com/ganjoor/). The specific database file can be found in the [releases section](https://github.com/ganjoor/desktop/releases/tag/v2.81) of their GitHub repository. - **Time Period:** Oct-12-2023 - **Collection Methods:** The data was collected by downloading the raw database file from the Ganjoor project's GitHub repository. ### Data Structure The dataset is structured into a CSV file with the following columns: - `context`: A static string which is "Persian Poetry or شعر فارسی". - `question`: A string that asks for a sample poem from a specific poet in the format "یک نمونه از شعر [POET_NAME]". - `answer`: Text of a hemistich or verse. Verses of a hemistich are TAB SEPARATED - `answer_start`: The starting character index of `answer` within `context` (Note: this is always -1 in the current dataset as `answer` is not a substring of `context`). ### Data Example ```plaintext context,question,answer,answer_start Persian Poetry,یک نمونه از شعر صائب تبریزی,خار نتواند گرفتن دامن ریگ روان رهنورد شوق، افسردن نمی داند که چیست,-1 ``` ## Dataset Usage ### Use Cases This dataset can be utilized for various Natural Language Processing and analysis tasks related to Persian poetry, such as: - Question Answering - Text Generation - Language Modeling - Style Analysis ### Challenges & Limitations - The `answer_start` field is always -1 as the `answer` is not a substring of `context`. Depending on your use-case, you might need to adjust how `context` and `answer_start` are determined. - The dataset does not contain long verses that are over 100 characters. ### License GPL-2 (GNU General Public License) ingerited from original ganjoor project ## Additional Information ### Citation ``` Persian Poetry Dataset. Collected by Kakooch from the Ganjoor Project. Available at: https://huggingface.co/datasets/persian_poetry ``` ### Dataset Link [Download the dataset from Hugging Face](https://huggingface.co/datasets/persian_poetry) ### Contact Email: [kakooch@gmail.com](mailto:kakooch@gmail.com) | GitHub: [kakooch](https://github.com/kakooch) --- *This README was generated by Kakooch.*
4,326
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Lexington120/Test_Semantic_Search
2023-10-12T22:05:58.000Z
[ "region:us" ]
Lexington120
null
null
0
5
2023-10-12T18:45:03
Entry not found
15
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daishen/legal-ar
2023-10-14T07:33:12.000Z
[ "region:us" ]
daishen
null
null
0
5
2023-10-13T01:22:24
Entry not found
15
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carnival13/rbrt_eval
2023-10-13T16:10:23.000Z
[ "region:us" ]
carnival13
null
null
0
5
2023-10-13T16:10:18
--- dataset_info: features: - name: domain_label dtype: int64 - name: pass_label dtype: int64 - name: input dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 18920775 num_examples: 11590 download_size: 6002960 dataset_size: 18920775 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "rbrt_eval" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
603
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gg-ai/es-1310-no-demoji-m
2023-10-13T18:58:20.000Z
[ "region:us" ]
gg-ai
null
null
0
5
2023-10-13T18:58:03
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: val path: data/val-* dataset_info: features: - name: text dtype: string - name: clean_text dtype: string - name: sent dtype: int64 splits: - name: train num_bytes: 12631455 num_examples: 32431 - name: test num_bytes: 2492249 num_examples: 6486 - name: val num_bytes: 609294 num_examples: 1622 download_size: 10520538 dataset_size: 15732998 --- # Dataset Card for "es-1310-no-demoji-m" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
716
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sshreyy/donut_test_combined
2023-10-14T06:39:09.000Z
[ "region:us" ]
sshreyy
null
null
0
5
2023-10-14T06:37:53
--- dataset_info: features: - name: image dtype: image - name: ground_truth dtype: string splits: - name: train num_bytes: 8310825.0 num_examples: 8 - name: test num_bytes: 3675299.0 num_examples: 4 - name: validation num_bytes: 6543521.0 num_examples: 6 download_size: 8907499 dataset_size: 18529645.0 --- # Dataset Card for "donut_test_combined" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
530
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carnival13/rbrt_eval_sur
2023-10-14T11:42:41.000Z
[ "region:us" ]
carnival13
null
null
0
5
2023-10-14T11:42:36
--- dataset_info: features: - name: domain_label dtype: int64 - name: pass_label dtype: int64 - name: input dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 13846819 num_examples: 6970 download_size: 3906257 dataset_size: 13846819 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "rbrt_eval_sur" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
606
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carnival13/rbrt_full_uda_large_ep5
2023-10-15T03:08:18.000Z
[ "region:us" ]
carnival13
null
null
0
5
2023-10-15T02:40:07
--- dataset_info: features: - name: domain_label dtype: int64 - name: pass_label dtype: int64 - name: input dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 1219081708 num_examples: 824810 download_size: 422786339 dataset_size: 1219081708 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "rbrt_full_uda_large_ep5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
624
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