--- license: cc-by-nc-sa-4.0 tags: - croissant - idrama-lab - social-media - web-communities - scored-platform - reddit - sentence-embedding pretty_name: idrama-scored-2024 source_datasets: - original dataset_info: - config_name: comments-2020 features: - name: uuid dtype: string - name: score dtype: int64 - name: created dtype: int64 - name: score_up dtype: int64 - name: community dtype: string - name: is_deleted dtype: bool - name: score_down dtype: int64 - name: raw_content dtype: string - name: is_moderator dtype: bool - name: date dtype: string - name: author dtype: string - name: embedding sequence: float32 splits: - name: train num_bytes: 31046054383 num_examples: 12774203 download_size: 37704189521 dataset_size: 31046054383 - config_name: comments-2021 features: - name: uuid dtype: string - name: score dtype: int64 - name: created dtype: int64 - name: score_up dtype: int64 - name: community dtype: string - name: is_deleted dtype: bool - name: score_down dtype: int64 - name: raw_content dtype: string - name: is_moderator dtype: bool - name: date dtype: timestamp[ns] - name: author dtype: string - name: embedding sequence: float32 splits: - name: train num_bytes: 40987707754 num_examples: 16097941 download_size: 48643801377 dataset_size: 40987707754 - config_name: comments-2022 features: - name: uuid dtype: string - name: score dtype: int64 - name: created dtype: int64 - name: score_up dtype: int64 - name: community dtype: string - name: is_deleted dtype: bool - name: score_down dtype: int64 - name: raw_content dtype: string - name: is_moderator dtype: bool - name: date dtype: timestamp[ns] - name: author dtype: string - name: embedding sequence: float32 splits: - name: train num_bytes: 40428423985 num_examples: 12730301 download_size: 46891480349 dataset_size: 40428423985 - config_name: comments-2023 features: - name: uuid dtype: string - name: score dtype: int64 - name: created dtype: int64 - name: score_up dtype: int64 - name: community dtype: string - name: is_deleted dtype: bool - name: score_down dtype: int64 - name: raw_content dtype: string - name: is_moderator dtype: bool - name: date dtype: timestamp[ns] - name: author dtype: string - name: embedding sequence: float32 splits: - name: train num_bytes: 28954472165 num_examples: 8919159 download_size: 33452541163 dataset_size: 28954472165 - config_name: submissions-2020-to-2023 features: - name: link dtype: string - name: type dtype: string - name: uuid dtype: string - name: score dtype: int64 - name: title dtype: string - name: domain dtype: string - name: created dtype: int64 - name: is_nsfw dtype: bool - name: is_admin dtype: bool - name: is_image dtype: bool - name: is_video dtype: bool - name: score_up dtype: int64 - name: tweet_id dtype: string - name: community dtype: string - name: is_deleted dtype: bool - name: is_twitter dtype: bool - name: score_down dtype: int64 - name: video_link dtype: string - name: raw_content dtype: string - name: is_moderator dtype: bool - name: post_flair_text dtype: string - name: post_flair_class dtype: string - name: date dtype: timestamp[ns] - name: author dtype: string - name: embedding sequence: float32 splits: - name: train num_bytes: 17187529594 num_examples: 6293980 download_size: 20010835367 dataset_size: 17187529594 configs: - config_name: comments-2020 data_files: - split: train path: comments-2020/train-* - config_name: comments-2021 data_files: - split: train path: comments-2021/train-* - config_name: comments-2022 data_files: - split: train path: comments-2022/train-* - config_name: comments-2023 data_files: - split: train path: comments-2023/train-* - config_name: submissions-2020-to-2023 data_files: - split: train path: submissions-2020-to-2023/train-* size_categories: - 10M More code-snippets to load the different variant of datasets efficiently are available on [Github](https://github.com/idramalab/iDRAMA-scored-2024) rpository. # Dataset Info Dataset is organized by yealry-comments and submissions -- comments-2020, comments-2021, comments-2022, comments-2023, submissions-2020-t0-2023.
Config Data-points
comments-2020 12,774,203
comments-2021 16,097,941
comments-2022 12,730,301
comments-2023 8,919,159
submissions-2020-to-2023 6,293,980
Top-15 communities in our dataset with total number of posts are shown as following: | Community | Number of posts | |:------------|:---------------| | c/TheDonald | 41,745,699 | | c/GreatAwakening | 6,161,369 | | c/IP2Always | 3,154,741 | | c/ConsumeProduct | 2,263,060 | | c/KotakuInAction2 | 747,215 | | c/Conspiracies | 539,164 | | c/Funny | 371,081 | | c/NoNewNormal | 322,300 | | c/OmegaCanada | 249,316 | | c/Gaming | 181,469 | | c/MGTOW | 175,853 | | c/Christianity | 124,866 | | c/Shithole | 98,720 | | c/WSBets | 66,358 | | c/AskWin | 39,308 |
Submission data fields are as following: ```yaml - `uuid`: Unique identifier associated with each sub- mission (uuid). - `created`: UTC timestamp of the submission posted to Scored platform. - `date`: Date of the submission, converted from UTC timestamp while data curation. - `author`: User of the submission. (Note -- We hash the userames for ethical considerations.) - `community`: Name of the community in which the submission is posted to. - `title`: Title of the submission. - `raw_content`: Body of the submission. - `embedding`: Generated embedding by combining "title" and "raw_content," with 768 dimensional vector with fp32-bit. - `link`: URL if the submission is a link. - `type`: Indicates whether the submission is text or a link. - `domain`: Base domain if the submission is a link. - `tweet_id`: Associated tweet id if the submission is a Twitter link. - `video_link`: Associated video link if the submission is a video. - `score`: Metric about the score of sample submission. - `score_up`: Metric about the up-votes casted to sample submission. - `score_down`: Metric about the down-votes casted to sample submission. - `is_moderator`: Whether the submission is created by moderator or not. - `is_nsfw`: True, if the submission is flagged not safe for work. - `is_admin`: Boolean flag about whether the submission is posted by admin. - `is_image`: Boolean flag if the submission is image type of media. - `is_video`: Boolean flag if the submission is type of video. - `is_twitter`: Boolean flag if the submission is a twitter (now, named as X) link. - `is_deleted`: Whether the submission was deleted as a moderation measure or not. If yes, the "title" and "raw_content" could be empty string. - `post_flair_text` & `post_flair_class`: Similar to Reddit submission flairs, which is a way to tag a submission with a certain keywords. ```
Comments data fields are as following: ```yaml - `uuid` - `date` - `author` - `community` - `raw_content` - `created` - `embedding` - `score` - `score_up` - `score_down` - `is_moderator` - `is_deleted` ```
> Read more about the fields and methodology from the [paper](https://arxiv.org/abs/2405.10233). ### Dataset fields Nullability: - If field (column) doesn't have a value, the fields are left with an empty value. - For instance, in the case of post deletion as a moderation measure, `title` of submission can have no value. - We do not explicit mark value as "Null" for any of the column in our dataset except `embedding` column. - Only, embedding column contains explicit "Null" value. For eliminating empty records using `pandas`, the code looks like below: ```python # Load dataset for `comments-2020` config dataset = load_dataset("iDRAMALab/iDRAMA-scored-2024", name="comments-2020") pd_df = dataset["train"].to_pandas() # Remove all empty records based on empty `title` column pd_df = pdf_df[pd_df.title != ""] # Remove all records which do not have `author` information pd_df = pdf_df[pd_df.author != ""] # Remove all records which do not have generated embeddings pd_df = pdf_df[~pd_df.embedding.isna()] ``` # Version - **Maintenance Status:** Active - **Version Details:** - *Current Version:* v1.0.0 - *First Release:* 05/16/2024 - *Last Update:* 05/16/2024 # Authorship This dataset is published at "AAAI ICWSM 2024 (INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA)" hosted at Buffalo, NY, USA. - **Academic Organization:** [iDRAMA Lab](https://idrama.science/people/) - **Affiliation:** Binghamton University, Boston University, University of California Riverside # Licensing This dataset is available for free to use under terms of the non-commercial license [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en). # Citation ```bibtex @misc{patel2024idramascored2024, title={iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023}, author={Jay Patel and Pujan Paudel and Emiliano De Cristofaro and Gianluca Stringhini and Jeremy Blackburn}, year={2024}, eprint={2405.10233}, archivePrefix={arXiv}, primaryClass={cs.SI} } ```