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Update OCR captcha dataset metadata for 9000-label snapshot

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  1. README.md +13 -18
  2. dataset_metadata.json +9 -9
README.md CHANGED
@@ -11,21 +11,21 @@ size_categories:
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  # eKYB Captcha Labeled Dataset
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- Generated at: 2026-02-26T13:02:56.462974+00:00
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  ## Summary
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- - Source labels CSV: `/Users/huynhthanhdat/Workspace/iNexus/eKYB/crawler/out/labeling_batches/all-captcha-labeling-dataset-20260226/labels.csv`
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- - Rows total in CSV: `4300`
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- - Rows with label: `500`
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- - Rows unlabeled: `3800`
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  - Rows skipped (missing image): `0`
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- - Exported labeled samples: `500`
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  ## Splits
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- - train: `450`
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- - validation: `50`
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  - test: `0`
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  ## Files
@@ -33,27 +33,22 @@ Generated at: 2026-02-26T13:02:56.462974+00:00
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  - HF `imagefolder` standard layout:
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  - `train/*.png`
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  - `train/metadata.csv`
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- - `validation/*.png` + `validation/metadata.csv` (if split > 0)
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- - `test/*.png` + `test/metadata.csv` (if split > 0)
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- Each split `metadata.csv` has columns:
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  - `file_name` (file inside the split folder)
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- - `text` (label from CSV, preserved as entered)
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  - `id`
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  - `source` (`canhantmdt` / `tracuunnt` / `unknown`)
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- - `notes`
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- - `image_file`
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  - `source_path`
 
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  ## Load Example
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  ```python
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  from datasets import load_dataset
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- # local
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  ds = load_dataset("imagefolder", data_dir=".")
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-
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- # from hub
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- # ds = load_dataset("imagefolder", data_dir="https://huggingface.co/datasets/dathuynh1108/captcha-to-text/resolve/main")
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  ```
 
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  # eKYB Captcha Labeled Dataset
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+ Generated at: 2026-05-10T17:09:52Z
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  ## Summary
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+ - Source metadata CSV: `/Users/huynhthanhdat/Workspace/iNexus/eKYB/ocr-captcha-finetuned/datasets/hf_dataset/source/metadata.csv`
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+ - Rows total in source: `10954`
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+ - Rows with label: `9000`
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+ - Rows unlabeled: `1954`
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  - Rows skipped (missing image): `0`
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+ - Exported labeled samples: `9000`
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  ## Splits
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+ - train: `8100`
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+ - validation: `900`
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  - test: `0`
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  ## Files
 
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  - HF `imagefolder` standard layout:
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  - `train/*.png`
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  - `train/metadata.csv`
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+ - `validation/*.png`
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+ - `validation/metadata.csv`
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+ Each split `metadata.csv` keeps the existing remote columns:
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  - `file_name` (file inside the split folder)
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+ - `text` (label, preserved as entered)
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  - `id`
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  - `source` (`canhantmdt` / `tracuunnt` / `unknown`)
 
 
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  - `source_path`
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+ - `notes`
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  ## Load Example
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  ```python
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  from datasets import load_dataset
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  ds = load_dataset("imagefolder", data_dir=".")
 
 
 
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  ```
dataset_metadata.json CHANGED
@@ -1,15 +1,15 @@
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  {
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- "generated_at": "2026-02-26T13:02:56.462571+00:00",
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- "labels_csv": "/Users/huynhthanhdat/Workspace/iNexus/eKYB/crawler/out/labeling_batches/all-captcha-labeling-dataset-20260226/labels.csv",
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- "rows_total": 4300,
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- "rows_labeled": 500,
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- "rows_unlabeled": 3800,
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  "rows_missing_image": 0,
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- "exported_samples": 500,
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  "split_stats": {
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- "train": 450,
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- "validation": 50,
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  "test": 0
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  },
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  "repo_id": "dathuynh1108/captcha-to-text"
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- }
 
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  {
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+ "generated_at": "2026-05-10T17:09:52Z",
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+ "labels_csv": "/Users/huynhthanhdat/Workspace/iNexus/eKYB/ocr-captcha-finetuned/datasets/hf_dataset/source/metadata.csv",
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+ "rows_total": 10954,
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+ "rows_labeled": 9000,
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+ "rows_unlabeled": 1954,
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  "rows_missing_image": 0,
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+ "exported_samples": 9000,
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  "split_stats": {
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+ "train": 8100,
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+ "validation": 900,
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  "test": 0
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  },
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  "repo_id": "dathuynh1108/captcha-to-text"
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+ }