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