| --- |
| dataset_info: |
| features: |
| - name: images |
| sequence: image |
| - name: problem |
| dtype: string |
| - name: answer |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 2401285909 |
| num_examples: 9508 |
| download_size: 0 |
| dataset_size: 2401285909 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # StepCountQA-RL-Traj_11_50 Dataset |
|
|
| ## Dataset Description |
|
|
| StepCountQA-RL-Traj_11_50 is a visual question answering dataset focused on counting and spatial reasoning tasks. The dataset contains images paired with questions and detailed answers that require understanding and analyzing visual content. |
|
|
| ## Dataset Structure |
|
|
| ### Data Fields |
|
|
| - `images`: A sequence of images (typically one image per sample) |
| - `problem`: The question text describing the task to be solved in the image |
| - `answer`: The answer text containing the solution to the problem |
|
|
| ### Data Splits |
|
|
| - **train**: 9508 training samples |
|
|
| ## Dataset Statistics |
|
|
| - Training set size: 9508 samples |
| - Count range: 11 - 50 |
| - Total dataset size: approximately 2290.0 MB |
|
|
| ### Count Distribution (11-50) |
|
|
| | Count | Samples | |
| |-------|---------| |
| | 11 | 707 | |
| | 12 | 851 | |
| | 13 | 517 | |
| | 14 | 534 | |
| | 15 | 498 | |
| | 16 | 441 | |
| | 17 | 318 | |
| | 18 | 390 | |
| | 19 | 262 | |
| | 20 | 389 | |
| | 21 | 279 | |
| | 22 | 246 | |
| | 23 | 201 | |
| | 24 | 288 | |
| | 25 | 239 | |
| | 26 | 220 | |
| | 27 | 191 | |
| | 28 | 203 | |
| | 29 | 141 | |
| | 30 | 202 | |
| | 31 | 161 | |
| | 32 | 173 | |
| | 33 | 138 | |
| | 34 | 141 | |
| | 35 | 142 | |
| | 36 | 166 | |
| | 37 | 105 | |
| | 38 | 115 | |
| | 39 | 104 | |
| | 40 | 170 | |
| | 41 | 93 | |
| | 42 | 110 | |
| | 43 | 91 | |
| | 44 | 109 | |
| | 45 | 98 | |
| | 46 | 77 | |
| | 47 | 65 | |
| | 48 | 126 | |
| | 49 | 85 | |
| | 50 | 122 | |
|
|
| ## Usage Example |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load the dataset |
| dataset = load_dataset("SI-Lab/StepCountQA-RL-Traj_11_50") |
| |
| # Access the training set |
| train_data = dataset["train"] |
| |
| # View a sample |
| print(train_data[0]) |
| # Output: {'images': [...], 'problem': '...', 'answer': '...'} |
| ``` |
|
|
| ## Dataset Creation |
|
|
| This dataset was created for training visual reasoning models, particularly focusing on: |
| - Counting objects in images (11-50 range) |
| - Spatial relationship understanding |
| - Step-by-step reasoning for visual problems |
|
|
| ## Citation |
|
|
| If you use this dataset in your research, please cite the appropriate sources. |
|
|
| ## License |
|
|
| Please refer to the dataset license for usage terms and conditions. |
|
|
