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javadtaghia/deewaiREALCN-training

Repo git@hf.co:datasets/telcom/deewaiREALCN-training DeewaiREALCN Training Data Image–text pairs for training captioning or vision–language models. Each image is a 1024×1024 RGB JPEG portrait with a short English description. Contents data/train/: 9,000 pairs for training. images/: JPEG files (090000.jpg, …). captions.jsonl: one JSON object per line with file_name and text. data/val/: 1,000 pairs for validation with the same layout. Example… See the full description on the dataset page: https://huggingface.co/datasets/javadtaghia/deewaiREALCN-training.

sourceHugging Faceecl-2.0updated 10mo agoView on Hugging Face
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Repo

git@hf.co:datasets/telcom/deewaiREALCN-training

DeewaiREALCN Training Data

Image–text pairs for training captioning or vision–language models. Each image is a 1024×1024 RGB JPEG portrait with a short English description.

Contents

  • —data/train/: 9,000 pairs for training.
  • —images/: JPEG files (090000.jpg, …).
  • —captions.jsonl: one JSON object per line with file_name and text.
  • —data/val/: 1,000 pairs for validation with the same layout.

Example entry:

json
{"file_name": "090000.jpg", "text": "smiling woman with long brown hair and a white shirt"}

Usage

  1. 1.Read captions.jsonl line by line (JSON Lines format).
  2. 2.Join on file_name to locate the matching image in the corresponding images/ folder.
  3. 3.Use data/train for model fitting and data/val for evaluation.

Notes

  • —Images are 1024×1024 RGB.
  • —License: Eclipse Public License 2.0 (see header above).