| --- |
| license: mit |
| task_categories: |
| - text-generation |
| - fill-mask |
| tags: |
| - memes |
| - humor |
| - byte-level |
| - english |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # meme-text-corpus |
|
|
| Meme **joke text** (template names + captions + labels), structured for |
| template-conditioned generation of byte-level language models. Built for |
| training BDH (Baby Dragon Hatchling, vocab=256 raw bytes) — contains **text |
| only, no images**. |
|
|
| ## Files |
|
|
| | File | Contents | |
| |---|---| |
| | `meme_text_corpus.txt` | Byte-level training rendering (`TEMPLATE:` / `TEXT:` / `---` records) | |
| | `meme_text_corpus.jsonl` | One JSON record per line with metadata (schema below) | |
|
|
| ## Schema (JSONL) |
|
|
| ``` |
| {"source": "dank_learning"|"memotion2", |
| "template": str, // meme template slug, e.g. "y u no", "brian bad news" |
| "text": str, // caption text (single line, whitespace-normalized) |
| // Memotion 2.0 rows additionally carry: |
| "humor"?: str, "sarcasm"?: str, "offensive"?: str, "sentiment"?: str, "split"?: str} |
| ``` |
|
|
| Text rendering format (`.txt`): |
|
|
| ``` |
| TEMPLATE: y u no |
| TEXT: steve jobs y u no respawn?! |
| --- |
| ``` |
|
|
| ## Sources & licenses |
|
|
| | Source | License | Contribution | |
| |---|---|---| |
| | [Dank Learning](https://github.com/alpv95/Dank-Learning) (memegenerator.net scrape, 2018; paper arXiv:1806.04510) | MIT | ~411k template-caption pairs (majority of corpus) | |
| | [Memotion 2.0](https://huggingface.co/datasets/Ahren09/MMSoc_Memotion) | Research dataset — see its dataset card; labels used as metadata only | ~7k OCR'd meme texts with humor/sarcasm/offensive/sentiment labels | |
| | imgflip `get_memes` API | imgflip ToS | 100-template taxonomy reference (metadata only, no caption text) | |
|
|
| ## Cleaning |
|
|
| - Exact dedup on whitespace/case-normalized text; near-dedup with word-3-gram |
| Jaccard ≥ 0.8 within (template, first-3-words) buckets. |
| - Filters (excluded, counts in `CORPUS_REPORT.md`): non-English heuristic, |
| slur/hateful blocklist, explicit-sexual-content list, Memotion |
| `very_offensive` rows, length outside [8, 600] chars. |
| - Mild profanity remains — meme text is crude by nature. The `offensive` label |
| is preserved for downstream filtering. |
|
|
| ## Known limitations |
|
|
| - 2018-era meme culture (memegenerator.net); dated references. |
| - Captions are single-line (top/bottom split not recoverable from the source). |
| - English-only by construction; non-English filter is heuristic. |
|
|
| ## Reproduction |
|
|
| Full pipeline + scripts: see the `create-datasets` project repo |
| (`scrapers/`, `scripts/`, `qc/`, `CORPUS_REPORT.md`). |
|
|
