Upload CALFW HF-ready dataset

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README.md

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+---
+license: other
+task_categories:
+- image-classification
+- zero-shot-image-classification
+tags:
+- face-recognition
+- face-verification
+- cross-age
+- calfw
+- imagefolder
+pretty_name: CALFW HF-ready
+size_categories:
+- 10K<n<100K
+configs:
+- config_name: default
+  data_files:
+  - split: aligned
+    path: aligned/**
+  - split: raw
+    path: raw/**
+---
+
+# CALFW HF-ready
+
+This folder packages the local CALFW (Cross-Age LFW) images as a Hugging Face
+`imagefolder` dataset with two splits and a verification-pairs CSV.
+
+## Splits
+
+- `aligned`: 112x112 ArcFace-aligned faces (from `data/evaluation/CALFW/aligned/`).
+- `raw`: original 250x250 LFW-style faces (from `data/evaluation/CALFW/raw/`).
+
+Both splits contain the same 12174 images and the same identity labels.
+
+## Layout
+
+```
+calfw/
+├── README.md
+├── pairs.csv
+├── aligned/
+│   ├── images/<shard>/<file>.jpg
+│   └── metadata.csv
+└── raw/
+    ├── images/<shard>/<file>.jpg
+    └── metadata.csv
+```
+
+## metadata.csv columns
+
+- `file_name`: relative image path used by `ImageFolder`, e.g. `images/000/AJ_Cook_0001.jpg`.
+- `label`: numeric identity label, shared across the two splits.
+- `label_name` / `identity`: identity name corresponding to `label`.
+- `image_num`: per-identity image index from the original filename (e.g. `0001`).
+- `variant`: `aligned` or `raw`.
+- `source_filename`: original CALFW filename.
+
+## pairs.csv columns
+
+`pairs.csv` mirrors `txts/pairs_CALFW.txt` (6000 verification pairs; 3000 same-identity
+cross-age positives and 3000 negatives, split into 10 folds of 600 pairs each).
+
+- `pair_id` (0..5999), `fold_id` (1..10), `fold_position` (0..299).
+- `is_same`: 1 for positive pairs, 0 for negatives.
+- `image_a`, `image_b`: bare filenames as in the upstream pairs file.
+- `image_a_aligned_path`, `image_b_aligned_path`: path under the `aligned` split.
+- `image_a_raw_path`, `image_b_raw_path`: path under the `raw` split.
+
+## Local Stats
+
+- Images per split: 12174
+- Unique identities: 4025
+- Identities with one image: 1
+- 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/calfw")
+ds["aligned"], ds["raw"]
+```
+
+```python
+import pandas as pd
+
+pairs = pd.read_csv("data/evaluation/huggingface/calfw/pairs.csv")
+```
+
+## Notes
+
+CALFW (Cross-Age LFW) is described by its authors as a verification benchmark that
+emphasizes age variation between the two faces in each positive pair. Check the
+original dataset terms before publishing or redistributing it.