78 datasets found
  1. a

    Facebook Names Dataset

    • academictorrents.com
    bittorrent
    Updated Nov 11, 2015
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    Ron Bowes (Skull Security) (2015). Facebook Names Dataset [Dataset]. https://academictorrents.com/details/e54c73099d291605e7579b90838c2cd86a8e9575
    Explore at:
    bittorrent(2991052604)Available download formats
    Dataset updated
    Nov 11, 2015
    Dataset authored and provided by
    Ron Bowes (Skull Security)
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    171 million names (100 million unique) This torrent contains: The URL of every searchable Facebook user s profile The name of every searchable Facebook user, both unique and by count (perfect for post-processing, datamining, etc) Processed lists, including first names with count, last names with count, potential usernames with count, etc The programs I used to generate everything So, there you have it: lots of awesome data from Facebook. Now, I just have to find one more problem with Facebook so I can write "Revenge of the Facebook Snatchers" and complete the trilogy. Any suggestions? >:-) Limitations So far, I have only indexed the searchable users, not their friends. Getting their friends will be significantly more data to process, and I don t have those capabilities right now. I d like to tackle that in the future, though, so if anybody has any bandwidth they d like to donate, all I need is an ssh account and Nmap installed. An additional limitation is that these are on

  2. E

    Data from: Facebook Data for Sentiment Analysis

    • live.european-language-grid.eu
    • lindat.mff.cuni.cz
    • +1more
    binary format
    Updated Jul 16, 2013
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    (2013). Facebook Data for Sentiment Analysis [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/1057
    Explore at:
    binary formatAvailable download formats
    Dataset updated
    Jul 16, 2013
    License

    Attribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
    License information was derived automatically

    Description

    Corpus consisting of 10,000 Facebook posts manually annotated on sentiment (2,587 positive, 5,174 neutral, 1,991 negative and 248 bipolar posts). The archive contains data and statistics in an Excel file (FBData.xlsx) and gold data in two text files with posts (gold-posts.txt) and labels (gols-labels.txt) on corresponding lines.

  3. h

    PE-Video

    • huggingface.co
    Updated Jun 1, 2025
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    PE-Video [Dataset]. https://huggingface.co/datasets/facebook/PE-Video
    Explore at:
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    AI at Meta
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    PE Video Dataset (PVD)

    [📃 Tech Report] [📂 Github] The PE Video Dataset (PVD) is a large-scale collection of 1 million diverse videos, featuring 120,000+ expertly annotated clips. The dataset was introduced in our paper "Perception Encoder".

      Overview
    

    PE Video Dataset (PVD) comprises 1M high quality and diverse videos. Among them, 120K videos are accompanied by automated and human-verified annotations. and all videos are accompanied with video description and keywords.… See the full description on the dataset page: https://huggingface.co/datasets/facebook/PE-Video.

  4. s

    Facebook Deactivation Participants

    • socialmediaarchive.org
    pdf, xlsx
    Updated May 21, 2024
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    (2024). Facebook Deactivation Participants [Dataset]. https://socialmediaarchive.org/record/61?v=pdf
    Explore at:
    xlsx(16172), xlsx(33969), pdf(813810)Available download formats
    Dataset updated
    May 21, 2024
    Description

    This table includes platform data for Facebook participants in the Deactivation experiment. Each row of the dataset corresponds to data from a participant’s Facebook user account. Each column contains a value, or set of values, that aggregates log data for this specific participant over a certain period of time.

  5. R

    Facebook Dataset

    • universe.roboflow.com
    zip
    Updated Jun 22, 2025
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    Samaritan (2025). Facebook Dataset [Dataset]. https://universe.roboflow.com/samaritan/facebook-6nrcn
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 22, 2025
    Dataset authored and provided by
    Samaritan
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Variables measured
    Face T0jN Polygons
    Description

    Facebook

    ## Overview
    
    Facebook is a dataset for instance segmentation tasks - it contains Face T0jN annotations for 1,943 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).
    
  6. h

    ExploreToM

    • huggingface.co
    Updated Dec 13, 2024
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    AI at Meta (2024). ExploreToM [Dataset]. https://huggingface.co/datasets/facebook/ExploreToM
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 13, 2024
    Dataset authored and provided by
    AI at Meta
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Data sample for ExploreToM: Program-guided aversarial data generation for theory of mind reasoning

    ExploreToM is the first framework to allow large-scale generation of diverse and challenging theory of mind data for robust training and evaluation. Our approach leverages an A* search over a custom domain-specific language to produce complex story structures and novel, diverse, yet plausible scenarios to stress test the limits of LLMs. Our A* search procedure aims to find particularly… See the full description on the dataset page: https://huggingface.co/datasets/facebook/ExploreToM.

  7. h

    winoground

    • huggingface.co
    Updated Dec 12, 2023
    + more versions
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    AI at Meta (2023). winoground [Dataset]. https://huggingface.co/datasets/facebook/winoground
    Explore at:
    Dataset updated
    Dec 12, 2023
    Dataset authored and provided by
    AI at Meta
    Description

    Dataset Card for Winoground

      Dataset Description
    

    Winoground is a novel task and dataset for evaluating the ability of vision and language models to conduct visio-linguistic compositional reasoning. Given two images and two captions, the goal is to match them correctly—but crucially, both captions contain a completely identical set of words/morphemes, only in a different order. The dataset was carefully hand-curated by expert annotators and is labeled with a rich set of… See the full description on the dataset page: https://huggingface.co/datasets/facebook/winoground.

  8. R

    Fb Detection Dataset

    • universe.roboflow.com
    zip
    Updated Apr 29, 2023
    + more versions
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    test (2023). Fb Detection Dataset [Dataset]. https://universe.roboflow.com/test-qspbt/fb-detection
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 29, 2023
    Dataset authored and provided by
    test
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Variables measured
    Icons Bounding Boxes
    Description

    Fb Detection

    ## Overview
    
    Fb Detection is a dataset for object detection tasks - it contains Icons annotations for 1,098 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).
    
  9. P

    LIVE-FB LSVQ Dataset

    • paperswithcode.com
    Updated Nov 19, 2021
    + more versions
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    Zhenqiang Ying; Maniratnam Mandal; Deepti Ghadiyaram; Alan Bovik (2023). LIVE-FB LSVQ Dataset [Dataset]. https://paperswithcode.com/dataset/live-fb-lsvq
    Explore at:
    Dataset updated
    Nov 19, 2021
    Authors
    Zhenqiang Ying; Maniratnam Mandal; Deepti Ghadiyaram; Alan Bovik
    Description

    No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and important problem to social and streaming media applications. Efficient and accurate video quality predictors are needed to monitor and guide the processing of billions of shared, often imperfect, user-generated content (UGC). Unfortunately, current NR models are limited in their prediction capabilities on real-world, "in-the-wild" UGC video data. To advance progress on this problem, we created the largest (by far) subjective video quality dataset, containing 39, 000 real-world distorted videos and 117, 000 space-time localized video patches ("v-patches"), and 5.5M human perceptual quality annotations. Using this, we created two unique NR-VQA models: (a) a local-to-global region-based NR VQA architecture (called PVQ) that learns to predict global video quality and achieves state-of-the-art performance on 3 UGC datasets, and (b) a first-of-a-kind space-time video quality mapping engine (called PVQ Mapper) that helps localize and visualize perceptual distortions in space and time. We will make the new database and prediction models available immediately following the review process.

  10. R

    Facebook Ads Pixelpro9 Sponsoredtexts Dataset

    • universe.roboflow.com
    zip
    Updated Apr 3, 2025
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    AbdulsPersonalRoboflowWorkspace (2025). Facebook Ads Pixelpro9 Sponsoredtexts Dataset [Dataset]. https://universe.roboflow.com/abdulspersonalroboflowworkspace/facebook-ads-pixelpro9-sponsoredtexts/dataset/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    AbdulsPersonalRoboflowWorkspace
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Words LVq8 MDMT Bounding Boxes
    Description

    Facebook Ads PixelPro9 SponsoredTexts

    ## Overview
    
    Facebook Ads PixelPro9 SponsoredTexts is a dataset for object detection tasks - it contains Words LVq8 MDMT annotations for 1,663 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  11. 🏆Uber, FB, Waze, etc US Apple App Store Reviews

    • kaggle.com
    Updated Nov 19, 2023
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    BwandoWando (2023). 🏆Uber, FB, Waze, etc US Apple App Store Reviews [Dataset]. http://doi.org/10.34740/kaggle/ds/4023539
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 19, 2023
    Dataset provided by
    Kaggle
    Authors
    BwandoWando
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    App Reviews

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2Fd4a6033b6bd31af45d5175d02e697934%2FAPPLEAPPS2.png?generation=1700357122842963&alt=media" alt="">

    1. uber-request-a-ride-us- 73787 rows
    2. waze-navigation-live-traffic-us- 26260 rows
    3. facebook-us- 24200 rows
    4. spotify-music-and-podcasts-us- 15580 rows
    5. netflix-us- 11760 rows
    6. pinterest-us- 10860 rows
    7. X-us- 8160 rows
    8. tiktok-us- 2542 rows
    9. tinder-dating-chat-friends-us- 1060 rows
    10. instagram-us- 300 rows

    These reviews are from Apple App Store

    Usage

    This dataset should paint a good picture on what is the public's perception of the apps over the years. Using this dataset, we can do the following

    1. Extract sentiments and trends
    2. Identify which version of an app had the most positive feedback, the worst.
    3. Use topic modelling to identify the pain points of the application.

    (AND MANY MORE!)

    Note

    Images generated using Bing Image Generator

  12. R

    Facebook Scrap Dataset

    • universe.roboflow.com
    zip
    Updated Aug 4, 2023
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    Ming (2023). Facebook Scrap Dataset [Dataset]. https://universe.roboflow.com/ming-z3xvx/facebook-scrap/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 4, 2023
    Dataset authored and provided by
    Ming
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Facebook Scrap Bounding Boxes
    Description

    Facebook Scrap

    ## Overview
    
    Facebook Scrap is a dataset for object detection tasks - it contains Facebook Scrap annotations for 243 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  13. h

    PLM-Image-Auto

    • huggingface.co
    Updated Apr 17, 2025
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    AI at Meta (2025). PLM-Image-Auto [Dataset]. https://huggingface.co/datasets/facebook/PLM-Image-Auto
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    AI at Meta
    License

    https://choosealicense.com/licenses/llama3.2/https://choosealicense.com/licenses/llama3.2/

    Description

    Dataset Card for PLM-Image Auto

    [📃 Tech Report] [📂 Github] Sythetic image captions and QAs used in PLM, please refer to the paper, Section 3, for more details. The sythetic annotations covers: SA1B, Openimages, Obejct365, ArxivQA, UCSF, PDFAcc.

      Dataset Structure
    
    
    
    
    
      Image Captions (SA1B, Openimages, Obejct365)
    

    Data fields are :

    image_id: a string feature, unique identifier for the image. image: a string feature, the actual image path in the correspoding data… See the full description on the dataset page: https://huggingface.co/datasets/facebook/PLM-Image-Auto.

  14. h

    kilt_tasks

    • huggingface.co
    Updated Sep 27, 2023
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    AI at Meta (2023). kilt_tasks [Dataset]. https://huggingface.co/datasets/facebook/kilt_tasks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 27, 2023
    Dataset authored and provided by
    AI at Meta
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset Card for KILT

      Dataset Summary
    

    KILT has been built from 11 datasets representing 5 types of tasks:

    Fact-checking Entity linking Slot filling Open domain QA Dialog generation

    All these datasets have been grounded in a single pre-processed Wikipedia dump, allowing for fairer and more consistent evaluation as well as enabling new task setups such as multitask and transfer learning with minimal effort. KILT also provides tools to analyze and understand the… See the full description on the dataset page: https://huggingface.co/datasets/facebook/kilt_tasks.

  15. b

    Facebook Revenue and Usage Statistics (2025)

    • businessofapps.com
    Updated Aug 8, 2017
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    Business of Apps (2017). Facebook Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/facebook-statistics/
    Explore at:
    Dataset updated
    Aug 8, 2017
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Facebook probably needs no introduction; nonetheless, here is a quick history of the company. The world’s biggest and most-famous social network was launched by Mark Zuckerberg while he was a...

  16. R

    Facebook Ads Pixelpro9 Elements Dataset

    • universe.roboflow.com
    zip
    Updated Apr 3, 2025
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    AbdulsPersonalRoboflowWorkspace (2025). Facebook Ads Pixelpro9 Elements Dataset [Dataset]. https://universe.roboflow.com/abdulspersonalroboflowworkspace/facebook-ads-pixelpro9-elements/dataset/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    AbdulsPersonalRoboflowWorkspace
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Words LVq8 VzTm Bounding Boxes
    Description

    Facebook Ads PixelPro9 Elements

    ## Overview
    
    Facebook Ads PixelPro9 Elements is a dataset for object detection tasks - it contains Words LVq8 VzTm annotations for 1,663 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  17. h

    voxpopuli

    • huggingface.co
    Updated Oct 17, 2022
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    AI at Meta (2022). voxpopuli [Dataset]. https://huggingface.co/datasets/facebook/voxpopuli
    Explore at:
    Dataset updated
    Oct 17, 2022
    Dataset authored and provided by
    AI at Meta
    License

    https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/

    Description

    A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation.

  18. Optimizing Ad Bidding: Facebook's A/B Test Story

    • kaggle.com
    Updated Oct 10, 2023
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    Doğa Yılmaz (2023). Optimizing Ad Bidding: Facebook's A/B Test Story [Dataset]. https://www.kaggle.com/datasets/furth3r/facebook-ab-test-of-bidding-feature/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 10, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Doğa Yılmaz
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16190527%2F53f929ff911508241fa2b6808c9d885f%2FFacebookAdsBidding-1200x630-1.jpg?generation=1696942877786519&alt=media" alt="">

    Subject:

    Facebook recently introduced a new bidding system called "average bidding"(test group) alongside the existing "maximum bidding"(control group) system. These bidding systems determine which ads get displayed to users based on how much advertisers are willing to pay.

    With "maximum bidding," advertisers specify the maximum amount they are willing to pay for each impression. For example, an advertiser might say, "I'm willing to pay a maximum of $10 for each impression."

    With "average bidding," advertisers specify an average amount they are willing to pay for impressions. For instance, they might say, "On average, I'm willing to pay $6 for each impression."

    Here's the key point: In this dataset, we've gathered the results of these two bidding strategies over the last 40 days to see which one is more effective at getting their ads displayed to the target audience.

    Business Challenge: Unleashing the Power of Facebook Advertising

    As a forward-thinking company poised to make waves in the realm of Facebook advertising, we're on a mission to unearth the most advantageous approach for our brand. Our burning questions:

    1. Maximize Clicks and Purchases: Which strategy will propel us toward our goal of skyrocketing clicks and driving purchases?
    2. Battle of Titans: Is there a discernible and statistically significant difference between the two bidding options?

    Enter the AB Test: Today, we embark on a journey of data-driven discovery, where the clash of titans—Average Bidding versus Maximum Bidding—will be meticulously dissected and evaluated. We're on a quest for insights that will define our Facebook advertising strategy's future, using data as our compass and innovation as our weapon.

    The outcome of this AB Test will not just answer our questions but will be the harbinger of a glorious era in our Facebook advertising endeavors. Stay tuned for a transformation that will leave a mark on the digital advertising landscape.

    Features:

    • Impression: Number of impressions per ad.
    • Click: Numbers of clicks per ad.
    • Purchase: The number of products purchased after the click.
    • Earnings: Earning after purchase.
  19. n

    Data from: konect

    • networkrepository.com
    csv
    Updated Oct 8, 2018
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    Network Data Repository (2018). konect [Dataset]. https://networkrepository.com/socfb-konect.php
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 8, 2018
    Dataset authored and provided by
    Network Data Repository
    License

    https://networkrepository.com/policy.phphttps://networkrepository.com/policy.php

    Description

    Facebook social network - A social friendship network extracted from Facebook consisting of people (nodes) with edges representing friendship ties.

  20. Fb_posting_ui Dataset

    • universe.roboflow.com
    zip
    Updated Jul 2, 2025
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    Facebook UI (2025). Fb_posting_ui Dataset [Dataset]. https://universe.roboflow.com/facebook-ui/fb_posting_ui/model/9
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 2, 2025
    Dataset provided by
    Facebookhttps://www.fb.com/
    Authors
    Facebook UI
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Objects Bounding Boxes
    Description

    Fb_posting_ui

    ## Overview
    
    Fb_posting_ui is a dataset for object detection tasks - it contains Objects annotations for 1,960 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
Share
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Close
Cite
Ron Bowes (Skull Security) (2015). Facebook Names Dataset [Dataset]. https://academictorrents.com/details/e54c73099d291605e7579b90838c2cd86a8e9575

Facebook Names Dataset

Explore at:
189 scholarly articles cite this dataset (View in Google Scholar)
bittorrent(2991052604)Available download formats
Dataset updated
Nov 11, 2015
Dataset authored and provided by
Ron Bowes (Skull Security)
License

https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

Description

171 million names (100 million unique) This torrent contains: The URL of every searchable Facebook user s profile The name of every searchable Facebook user, both unique and by count (perfect for post-processing, datamining, etc) Processed lists, including first names with count, last names with count, potential usernames with count, etc The programs I used to generate everything So, there you have it: lots of awesome data from Facebook. Now, I just have to find one more problem with Facebook so I can write "Revenge of the Facebook Snatchers" and complete the trilogy. Any suggestions? >:-) Limitations So far, I have only indexed the searchable users, not their friends. Getting their friends will be significantly more data to process, and I don t have those capabilities right now. I d like to tackle that in the future, though, so if anybody has any bandwidth they d like to donate, all I need is an ssh account and Nmap installed. An additional limitation is that these are on

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