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| license: other | |
| license_name: web-collected-images | |
| pretty_name: Mega Liminal | |
| task_categories: | |
| - text-to-image | |
| - image-to-text | |
| language: | |
| - en | |
| tags: | |
| - liminal | |
| - liminal-spaces | |
| - captioned | |
| - lora-training | |
| size_categories: | |
| - 1K<n<10K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: | |
| - "data/**/*.jpg" | |
| - "data/**/*.jpeg" | |
| - "data/**/*.png" | |
| - "data/**/*.webp" | |
| - "data/metadata.jsonl" | |
| # Mega Liminal | |
| 1,873 captioned images of liminal spaces: empty malls, fog-bound roads, parking garages, suburbs at night, | |
| vacant theatres and hallways, sorted into 10 classes and curated for training image models. The | |
| [Mega Liminal LoRA](https://huggingface.co/AbstractPhil/mega-liminal-lora) was trained on it. | |
| ## Contents | |
| | Class | Files | | |
| |---|---| | |
| | mega liminal | 870 | | |
| | landscape | 766 | | |
| | suburban | 111 | | |
| | simulacrum | 36 | | |
| | vanishing point | 21 | | |
| | empty mall | 20 | | |
| | hand sourced | 18 | | |
| | parking garage | 13 | | |
| | cityscape | 10 | | |
| | movie theatre | 8 | | |
| | **total** | **1,873 files, 1,060 unique images** | | |
| The classes overlap. The mega liminal class gathers most of the landscape images and some suburban ones, | |
| so 813 files are byte-identical copies filed under a second class. Each copy has its own caption. The | |
| `also_in` column names the other copies; keep one row per `sha256` for a deduplicated set. | |
| The captioner labeled 1,680 images as photographs, 122 as 3D renders, 69 as digital paintings and 2 as | |
| drawings. 55 images carry a visible watermark (`watermark` column). | |
| ## Layout | |
| ``` | |
| data/<class>/<image> the image (jpg, jpeg, png or webp) | |
| data/<class>/<image stem>.txt its caption | |
| data/metadata.jsonl one row per image: file_name, text, class, width, height, medium, watermark, sha256, also_in | |
| omitted_manifest.csv the 202 source images removed during curation, with the reason | |
| ``` | |
| ## Loading | |
| With the `datasets` library: | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("AbstractPhil/mega-liminal", split="train") | |
| ``` | |
| For trainers that read image and `.txt` pairs (kohya, ai-toolkit, diffusion-pipe, OneTrainer), download the | |
| files and point the trainer at `mega-liminal/data/<class>`: | |
| ```bash | |
| hf download AbstractPhil/mega-liminal --repo-type dataset --local-dir mega-liminal | |
| ``` | |
| ## Captions | |
| Every caption has the form `liminal, <class>, <description>`. Qwen3.5-9B wrote the descriptions, one | |
| structured pass per image: two to four sentences covering the kind of image, the place and its layout, | |
| the camera position, the architecture and materials, and the lighting and colors. The prompt ruled out | |
| mood words and sentences about what is absent, and a cleanup pass removed any that slipped through. Some | |
| captions mention visible text or a watermark. | |
| ## Curation | |
| 202 of the 2,075 source images were removed: | |
| | Reason | Images | | |
| |---|---| | |
| | under 512x512 pixels (262,144) | 63 | | |
| | video-game screenshots (Garry's Mod and similar engines) | 74 | | |
| | low-resolution 3D render | 33 | | |
| | cartoon or toy render | 17 | | |
| | low-poly or untextured 3D | 10 | | |
| | pixel art | 3 | | |
| | framed collage | 2 | | |
| Every removal except the pixel-count rule was checked by eye. Clean, high-resolution renders were kept. | |
| ## Licensing | |
| The images were gathered from public liminal-space collections on the web. Their rights stay with their | |
| original creators, and some carry the creator's watermark. The dataset is shared for research and | |
| non-commercial use. To have an image removed, open a discussion on this repo. | |
| The captions were written by Qwen3.5-9B for this dataset. | |