| --- |
| license: mit |
|
|
| task_categories: |
| - text-to-image |
| - image-to-text |
|
|
| tags: |
| - art |
| - furry |
| - e621 |
| - twitter |
| - instagram |
| - jtp-3 |
|
|
| size_categories: |
| - 10K<n<100K |
|
|
| configs: |
| - config_name: twitter |
| data_files: |
| - split: train |
| path: "xfiles/**/*.jpg" |
| - split: train |
| path: "xfiles/**/*.png" |
|
|
| - config_name: instagram |
| data_files: |
| - split: train |
| path: "Instagram/**/*.jpg" |
| - split: train |
| path: "Instagram/**/*.png" |
| --- |
| |
| viewer: true |
|
|
| # Dataset Card for TwitterArtists (Pixel-Dust) |
|
|
| This dataset is a collection of art and media scraped from various artists and profiles across **X (formerly Twitter)** and **Instagram**. It is primarily focused on **furry art** and similar stylized content, intended for use in training or fine-tuning generative models. |
|
|
| ## Dataset Description |
|
|
| - **Repository:** Pixel-Dust/TwitterArtists |
| - **Content Type:** Images & Tags |
| - **Primary Focus:** Furry artists, digital illustrations, and character art. |
| - **Sources:** X (Twitter), Instagram. |
| - **License:** MIT |
|
|
| ## Data Collection & Annotation |
|
|
| ### Source Data |
| The images were collected from social media profiles of numerous artists. While the bulk of the content is high-quality digital art, the collection process was broad, it contain some +18 content. |
|
|
| ### Captioning & Tagging |
| All images have been automatically captioned using **JTP-3 (Joint Tagger Project)**. |
| - **Tagging Style:** the tags follow the **e621-style** format (shorthand descriptive tags, species, character traits, and composition metadata). |
| - **Format:** Typically stored as `.txt` files accompanying each image. |
|
|
| ## Known Limitations & "Noise" |
|
|
| **Please be aware:** This dataset is currently in a "raw" or "semi-filtered" state. |
| - **Non-Art Content:** You may find "trash" media, including repeated memes, screenshots, or other non-illustration files that were scraped alongside the art. |
| - **Redundancy:** There are known instances of duplicate or near-duplicate images. |
| - **Tag Accuracy:** While JTP-3 is robust, automated tagging is not 100% accurate and may hallucinate tags or miss specific character details, can have false positives. |
|
|
| ## Call for Contributions |
|
|
| I am actively looking for help to clean and refine this dataset. If you are interested in: |
| 1. **Filtering:** Removing memes, duplicates, or low-quality "noise." |
| 2. **Tag Improvement:** Refining the e621-style tags or adding missing metadata. |
| 3. **Curating:** Sorting the content into specific sub-categories or styles. |
|
|
| Attempts to improve the quality of this dataset are highly appreciated! Please feel free to open a Discussion or pull request if you have a filtered version or improved tag set. |
|
|
| ## Disclaimer |
| This dataset is provided for research and generative AI training purposes. Please don't respect the original artists' rights and use this data responsibly. |
| Be aware that some of the profiles scraped have sensitive and personal information that the people from X like to expose to everyone. |
| I don't know why they do that, but if you see such information in this dataset, this is not a leak or an invasion of privacy, as all this information is publicly available on X for anyone to see. |
| This dataset does not aim to expose anyone. Please contact me for removal alongside any other trash you find. |
