--- license: other license_name: mixed-per-plugin-licences license_link: https://huggingface.co/datasets/Titlehhhh/captchaocr-dataset/blob/main/LICENSE pretty_name: CaptchaOCR — Minecraft anti-bot captchas task_categories: [image-to-text] language: [en, ru] tags: [captcha, ocr, minecraft, anti-bot, synthetic, parquet, image] size_categories: 100K # CaptchaOCR — Minecraft anti-bot captchas as training data Minecraft anti-bot captchas, re-rendered by this project's Java 21 generators and packed one image per Parquet row: image, answer, drawn text and answer band. ![samples](https://img.shields.io/badge/samples-200%2C000-blue) ![types](https://img.shields.io/badge/captcha_types-20-blueviolet) ![plugins](https://img.shields.io/badge/upstream_plugins-13-informational) ![size](https://img.shields.io/badge/size-1.9_GiB-lightgrey) ![format](https://img.shields.io/badge/format-Parquet-150458) ![task](https://img.shields.io/badge/task-image--to--text-success) ![license](https://img.shields.io/badge/license-mixed_per_plugin-orange) ## What's inside - **20 captcha types** from **13 upstream names** — 6 pixel-faithful ports, 10 clean-room reimplementations, 4 reconstructions with no upstream plugin. - **200,000 images**, 10,000 per type, one Parquet row each, with every label field from `labels.jsonl` in the same row. - **9 Parquet shards, 1.9 GiB** — 30–248 MiB each, no loading script, no remote code. - **`roi` in 12 of 20 types** — 119,984 answer bands; the other 80,016 rows need the whole frame. ## Gallery Six examples of these types, answer under each image. | Krypton map captcha with a five-letter code
`Krypton/map` — `Wu43b` | mapcha map captcha with a four-letter code
`mapcha/map` — `ly8r` | XProtect chat code captcha
`XProtect/code` — `5dqnZ9` | |---|---|---| | LimboFilter Cyrillic symbol captcha
`LimboFilter/symbols` — `БЬ5` | Reconstructed web captcha, 150 by 90 pixels
`GalleryCaptcha/ru-web` — `cVejm` | CaptchaVerifyZ map captcha in capital letters
`CaptchaVerifyZ/map` — `AYKZB` | ## Quickstart ```python import io from datasets import load_dataset from PIL import Image ds = load_dataset("Titlehhhh/captchaocr-dataset", split="train") row = ds[0] image = Image.open(io.BytesIO(row["image"])); print(row["answer"], row["roi"]) ```
Filter one type, or read a shard with pyarrow ```python ds = load_dataset("Titlehhhh/captchaocr-dataset", split="train") subset = ds.filter(lambda row: row["type_id"] == "out/haq/mapcha/map") import pyarrow.parquet as pq table = pq.read_table("data/train-00000-of-00009.parquet", columns=["type_id", "answer"]) ``` `train-00000-of-00009.parquet` is the first of 9 shards; the row order is deterministic (tree, type, `labels.jsonl` order).
## Fields | column | type | meaning | |---|---|---| | `image` | `binary` | raw PNG bytes; decode with `PIL.Image.open(io.BytesIO(...))` | | `file` | `string` | file name inside the type directory (`001.png` …) | | `type_id` | `string` | type path, e.g. `out/Archy-X/Krypton/map` | | `plugin` | `string` | upstream plugin, e.g. `haq/mapcha` | | `captcha` | `string` | captcha style inside the plugin, e.g. `map` | | `answer` | `string` | what the player types into the answer field | | `text` | `string`, nullable | what is drawn on the image | | `prompt` | `string`, nullable | task text the plugin shows | | `roi` | `list`, nullable | answer band `[x, y, w, h]` | | `width` | `int32` | PNG width in pixels | | `height` | `int32` | PNG height in pixels | | `source` | `string` | upstream class and method that produced the style | | `tree` | `string` | `out` (Latin) or `out_ru` (Cyrillic) | `text` is what is drawn; `answer` is what the player types. They differ in 3 types, where a solver step converts one to the other — train a recogniser on `text`, evaluate a solver on `answer`. `roi` is the answer band; when the band does not fit the frame, `roi` is `null`, so pass the whole image and never crop those rows. ## Types 20 types from 13 upstream names. `roi` rows count rows with the band present; `text ≠ answer` counts rows where the drawn string differs from the typed answer.
All 20 types | type_id | plugin | captcha | samples | roi rows | text ≠ answer | mode | license | |---|---|---|---:|---:|---:|---|---| | `out/Archy-X/Krypton/map` | `Archy-X/Krypton` | `map` | 10,000 | 10,000 | 0 | clean-room | No licence — all rights reserved | | `out/InstantlyMoist/Captcha/textcaptcha` | `InstantlyMoist/Captcha` | `textcaptcha` | 10,000 | 0 | 0 | faithful | MIT | | `out/JSH32/Minecaptcha/map` | `JSH32/Minecaptcha` | `map` | 10,000 | 10,000 | 0 | faithful | MIT | | `out/LagBug/XProtect/code` | `LagBug/XProtect` | `code` | 10,000 | 0 | 0 | faithful | MIT | | `out/LagBug/XProtect/map` | `LagBug/XProtect` | `map` | 10,000 | 0 | 0 | faithful | MIT | | `out/haq/mapcha/map` | `haq/mapcha` | `map` | 10,000 | 9,984 | 0 | faithful | MIT | | `out/irootdev/AnBot/captcha` | `irootdev/AnBot` | `captcha` | 10,000 | 0 | 0 | clean-room | GPL-3.0 | | `out/jonesdevelopment/sonar/complex` | `jonesdevelopment/sonar` | `complex` | 10,000 | 0 | 0 | clean-room | GPL-3.0 | | `out/jonesdevelopment/sonar/legacy` | `jonesdevelopment/sonar` | `legacy` | 10,000 | 0 | 0 | clean-room | GPL-3.0 | | `out/jonesdevelopment/sonar/standard` | `jonesdevelopment/sonar` | `standard` | 10,000 | 0 | 0 | clean-room | GPL-3.0 | | `out/just-captcha/ProstoCaptcha/map` | `just-captcha/ProstoCaptcha` | `map` | 10,000 | 10,000 | 0 | faithful | MIT | | `out/ringoame196-s-mcPlugin/ReproductionCAPTCHA/map` | `ringoame196-s-mcPlugin/ReproductionCAPTCHA` | `map` | 10,000 | 10,000 | 0 | clean-room | No licence file — all rights reserved | | `out_ru/BotFilter/map` | `BotFilter` | `map` | 10,000 | 0 | 0 | clean-room | BSD-2-Clause, no commercial hosting | | `out_ru/CaptchaVerifyZ/map` | `CaptchaVerifyZ` | `map` | 10,000 | 10,000 | 0 | clean-room | All rights reserved (Modrinth) | | `out_ru/GalleryCaptcha/ru-numberword` | `GalleryCaptcha` | `ru-numberword` | 10,000 | 10,000 | 10,000 | reconstructed | Not established (see `source`) | | `out_ru/GalleryCaptcha/ru-numberword-caption` | `GalleryCaptcha` | `ru-numberword-caption` | 10,000 | 10,000 | 10,000 | reconstructed | Not established (see `source`) | | `out_ru/GalleryCaptcha/ru-symbols` | `GalleryCaptcha` | `ru-symbols` | 10,000 | 10,000 | 0 | reconstructed | Not established (see `source`) | | `out_ru/GalleryCaptcha/ru-web` | `GalleryCaptcha` | `ru-web` | 10,000 | 10,000 | 0 | reconstructed | Not established (see `source`) | | `out_ru/LimboFilter/map` | `LimboFilter` | `map` | 10,000 | 10,000 | 10,000 | clean-room | AGPL-3.0 | | `out_ru/LimboFilter/symbols` | `LimboFilter` | `symbols` | 10,000 | 10,000 | 0 | clean-room | AGPL-3.0 | This snapshot holds 20 of the 21 types in the generator tree. `out_ru/LimboFilter/digits` was rendered after the snapshot and is not published here.
## License Each row carries the license of the upstream plugin it came from, so the dataset as a whole is mixed (`license_name: mixed-per-plugin-licences`). Several upstream licenses forbid commercial hosting or reserve all rights, so check the table before you ship anything. Full text: [LICENSE](https://huggingface.co/datasets/Titlehhhh/captchaocr-dataset/blob/main/LICENSE).
Licenses by upstream plugin | plugin | types | samples | license | mode | |---|---|---:|---|---| | `Archy-X/Krypton` | 1 | 10,000 | No licence — all rights reserved | clean-room | | `BotFilter` | 1 | 10,000 | BSD-2-Clause, no commercial hosting | clean-room | | `CaptchaVerifyZ` | 1 | 10,000 | All rights reserved (Modrinth) | clean-room | | `GalleryCaptcha` | 4 | 40,000 | Not established (see `source`) | reconstructed | | `InstantlyMoist/Captcha` | 1 | 10,000 | MIT | faithful | | `JSH32/Minecaptcha` | 1 | 10,000 | MIT | faithful | | `LagBug/XProtect` | 2 | 20,000 | MIT | faithful | | `LimboFilter` | 2 | 20,000 | AGPL-3.0 | clean-room | | `haq/mapcha` | 1 | 10,000 | MIT | faithful | | `irootdev/AnBot` | 1 | 10,000 | GPL-3.0 | clean-room | | `jonesdevelopment/sonar` | 3 | 30,000 | GPL-3.0 | clean-room | | `just-captcha/ProstoCaptcha` | 1 | 10,000 | MIT | faithful | | `ringoame196-s-mcPlugin/ReproductionCAPTCHA` | 1 | 10,000 | No licence file — all rights reserved | clean-room | `mode` says how close the pixels are to the upstream plugin: **faithful** is a port of the upstream drawing code, **clean-room** is a reimplementation from the algorithm, **reconstructed** means no upstream plugin was available.
## Provenance - Every image is a re-render by the Java 21 generators in this repository, not a screenshot and not a copy. - 6 types are pixel-faithful ports, 10 are clean-room reimplementations, 4 are reconstructed from reference screenshots. - The generators are not seeded: this is one random render (2026-10-24). The labels and the generator code are the reproducible part. - The upstream reference screenshots that guided the reconstructions are not published; they are other people's images. - No image, page or answer from a third-party commercial service is included. ## Limitations - Synthetic images: fonts, noise and layout follow the plugin algorithms, not a live server, so expect a gap on real screenshots. - 8 types have no `roi`; there the answer band is not in the frame, so feed the whole image. - 3 types put a solver step between the drawn string and the answer; OCR alone does not solve them. - Other anti-bot plugins are not represented: the snapshot stops at the types listed above.