diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..1ef325f1b111266a6b26e0196871bd78baa8c2f3 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,59 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.lz4 filter=lfs diff=lfs merge=lfs -text +*.mds filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +# Audio files - uncompressed +*.pcm filter=lfs diff=lfs merge=lfs -text +*.sam filter=lfs diff=lfs merge=lfs -text +*.raw filter=lfs diff=lfs merge=lfs -text +# Audio files - compressed +*.aac filter=lfs diff=lfs merge=lfs -text +*.flac filter=lfs diff=lfs merge=lfs -text +*.mp3 filter=lfs diff=lfs merge=lfs -text +*.ogg filter=lfs diff=lfs merge=lfs -text +*.wav filter=lfs diff=lfs merge=lfs -text +# Image files - uncompressed +*.bmp filter=lfs diff=lfs merge=lfs -text +*.gif filter=lfs diff=lfs merge=lfs -text +*.png filter=lfs diff=lfs merge=lfs -text +*.tiff filter=lfs diff=lfs merge=lfs -text +# Image files - compressed +*.jpg filter=lfs diff=lfs merge=lfs -text +*.jpeg filter=lfs diff=lfs merge=lfs -text +*.webp filter=lfs diff=lfs merge=lfs -text +# Video files - compressed +*.mp4 filter=lfs diff=lfs merge=lfs -text +*.webm filter=lfs diff=lfs merge=lfs -text diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..79b18815f195dfa4c3a167b9cbe342583e5016f5 --- /dev/null +++ b/.gitignore @@ -0,0 +1,35 @@ +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +env/ +venv/ +ENV/ +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg + +# IDE +.vscode/ +.idea/ +*.swp +*.swo +*~ + +# OS +.DS_Store +Thumbs.db diff --git a/MMB_dataset.py b/MMB_dataset.py new file mode 100644 index 0000000000000000000000000000000000000000..3ed05db49ce48046eb1e29eaadbc44ee04924d65 --- /dev/null +++ b/MMB_dataset.py @@ -0,0 +1,173 @@ +""" +Hugging Face datasets loading script for the MMB Counterfactual Dataset. + +This dataset contains counterfactual visual question answering examples with: +- Original images and counterfactual variants +- Questions for each image variant +- Answer matrices showing how each image answers each question +""" + +from __future__ import annotations + +import csv +from pathlib import Path +from typing import Iterator + +import datasets +from datasets import Image, Value + + +_DESCRIPTION = """ +MMB-style counterfactual visual question answering dataset. + +This dataset contains scenes with: +- Original images and counterfactual variants +- Questions for each image variant +- Answer matrices showing how each image answers each question +""" + +_HOMEPAGE = "https://huggingface.co/datasets/scholo/MMB_dataset" + +_LICENSE = "mit" + +_CITATION = """ +@misc{mmb_counterfactual_dataset, + title={MMB Counterfactual Dataset}, + author={MMB-Dataset authors}, + year={2026} +} +""" + + +class MMB_dataset(datasets.GeneratorBasedBuilder): + """MMB counterfactual dataset.""" + + VERSION = datasets.Version("1.0.0") + + def _info(self) -> datasets.DatasetInfo: + return datasets.DatasetInfo( + description=_DESCRIPTION, + features=datasets.Features( + { + # Simple scene identifier derived from the original image filename + "scene_id": Value("string"), + # Image triplet (paths resolved relative to dataset_1k_720p_2/images/) + "original_image": Image(decode=True), + "counterfactual1_image": Image(decode=True), + "counterfactual2_image": Image(decode=True), + # Questions + "original_question": Value("string"), + "counterfactual1_question": Value("string"), + "counterfactual2_question": Value("string"), + # Difficulties + "original_question_difficulty": Value("string"), + "counterfactual1_question_difficulty": Value("string"), + "counterfactual2_question_difficulty": Value("string"), + # Answer matrix (9 entries, image × question) + "original_image_answer_to_original_question": Value("string"), + "original_image_answer_to_cf1_question": Value("string"), + "original_image_answer_to_cf2_question": Value("string"), + "cf1_image_answer_to_original_question": Value("string"), + "cf1_image_answer_to_cf1_question": Value("string"), + "cf1_image_answer_to_cf2_question": Value("string"), + "cf2_image_answer_to_original_question": Value("string"), + "cf2_image_answer_to_cf1_question": Value("string"), + "cf2_image_answer_to_cf2_question": Value("string"), + } + ), + homepage=_HOMEPAGE, + license=_LICENSE, + citation=_CITATION, + ) + + def _split_generators( + self, dl_manager: datasets.DownloadManager + ) -> list[datasets.SplitGenerator]: + """We expose a single train split backed by dataset_1k_720p_2/image_mapping_with_questions.csv.""" + data_dir = Path(__file__).parent.resolve() + csv_path = data_dir / "dataset_1k_720p_2" / "image_mapping_with_questions.csv" + images_dir = data_dir / "dataset_1k_720p_2" / "images" + + return [ + datasets.SplitGenerator( + name=datasets.Split.TRAIN, + gen_kwargs={ + "csv_path": str(csv_path), + "images_dir": str(images_dir), + }, + ) + ] + + def _generate_examples( + self, csv_path: str, images_dir: str + ) -> Iterator[tuple[int, dict]]: + """Yield (key, example) tuples from the wide-format CSV.""" + csv_path = Path(csv_path) + images_root = Path(images_dir) + + if not csv_path.exists(): + raise FileNotFoundError(f"CSV file not found: {csv_path}") + + with csv_path.open("r", encoding="utf-8", newline="") as f: + reader = csv.DictReader(f) + for idx, row in enumerate(reader): + # Resolve scene_id from original_image filename, e.g. scene_0000_original.png -> scene_0000 + original_image_name = row.get("original_image", "") or "" + scene_id = original_image_name.split("_original", 1)[0] + + def _image_field(col_name: str) -> dict | None: + filename = (row.get(col_name) or "").strip() + if not filename: + return None + path = images_root / filename + if not path.exists(): + return None + return {"path": str(path)} + + example = { + "scene_id": scene_id, + "original_image": _image_field("original_image"), + "counterfactual1_image": _image_field("counterfactual1_image"), + "counterfactual2_image": _image_field("counterfactual2_image"), + "original_question": row.get("original_question", ""), + "counterfactual1_question": row.get("counterfactual1_question", ""), + "counterfactual2_question": row.get("counterfactual2_question", ""), + "original_question_difficulty": row.get( + "original_question_difficulty", "" + ), + "counterfactual1_question_difficulty": row.get( + "counterfactual1_question_difficulty", "" + ), + "counterfactual2_question_difficulty": row.get( + "counterfactual2_question_difficulty", "" + ), + "original_image_answer_to_original_question": row.get( + "original_image_answer_to_original_question", "" + ), + "original_image_answer_to_cf1_question": row.get( + "original_image_answer_to_cf1_question", "" + ), + "original_image_answer_to_cf2_question": row.get( + "original_image_answer_to_cf2_question", "" + ), + "cf1_image_answer_to_original_question": row.get( + "cf1_image_answer_to_original_question", "" + ), + "cf1_image_answer_to_cf1_question": row.get( + "cf1_image_answer_to_cf1_question", "" + ), + "cf1_image_answer_to_cf2_question": row.get( + "cf1_image_answer_to_cf2_question", "" + ), + "cf2_image_answer_to_original_question": row.get( + "cf2_image_answer_to_original_question", "" + ), + "cf2_image_answer_to_cf1_question": row.get( + "cf2_image_answer_to_cf1_question", "" + ), + "cf2_image_answer_to_cf2_question": row.get( + "cf2_image_answer_to_cf2_question", "" + ), + } + + yield idx, example diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..3f72337f31a2e3775923b1f2e7e6c70a44530ca7 --- /dev/null +++ b/README.md @@ -0,0 +1,82 @@ +--- +license: mit +pretty_name: MMB Counterfactual Dataset +task_categories: + - visual-question-answering + - multiple-choice +language: + - en +tags: + - vision + - language + - multimodal + - counterfactual + - question-answering + - synthetic +size_categories: + - 1K