Upload LFW HF-ready dataset

.gitattributes

@@ -1,60 +1,3 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.avro 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
+*.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,78 @@
+---
+license: other
+task_categories:
+- image-classification
+- zero-shot-image-classification
+tags:
+- face-recognition
+- face-verification
+- lfw
+- imagefolder
+pretty_name: LFW HF-ready
+size_categories:
+- 10K<n<100K
+---
+
+# LFW HF-ready
+
+This folder packages the local LFW (Labeled Faces in the Wild) images as a
+Hugging Face `imagefolder` dataset with the canonical 10-fold verification
+pairs file.
+
+## Layout
+
+```
+lfw/
+├── README.md
+├── pairs.csv
+└── train/
+    ├── images/<shard>/<file>.jpg
+    └── metadata.csv
+```
+
+## metadata.csv columns
+
+- `file_name`: relative image path used by `ImageFolder`, e.g. `images/000/Aaron_Eckhart_0001.jpg`.
+- `label`: numeric identity label.
+- `label_name` / `identity`: identity name.
+- `image_num`: per-identity image index from the original filename (1-based).
+- `source_filename`: original LFW filename.
+
+## pairs.csv columns
+
+`pairs.csv` mirrors the official LFW `pairs.txt` (10 folds x 300 positive +
+300 negative = 6000 verification pairs).
+
+- `pair_id` (0..5999), `fold_id` (1..10), `fold_position` (0..299).
+- `is_same`: 1 for positive pairs (same identity), 0 for negatives.
+- `image_a`, `image_b`: bare filenames (e.g. `Abel_Pacheco_0001.jpg`).
+- `image_a_path`, `image_b_path`: paths under the `train` split.
+
+## Local Stats
+
+- Images: 13233
+- Unique identities: 5749
+- Identities with one image: 4069
+- Verification pairs: 6000 (3000 positive / 3000 negative)
+- Folds: 10 x 600 pairs
+
+## Loading
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("imagefolder", data_dir="data/evaluation/huggingface/lfw")
+train = ds["train"]
+```
+
+```python
+import pandas as pd
+
+pairs = pd.read_csv("data/evaluation/huggingface/lfw/pairs.csv")
+```
+
+## Notes
+
+LFW is described by its authors as an unconstrained face verification benchmark.
+The images here are the original (non-aligned) drop. Check the original dataset
+terms before publishing or redistributing it.