| --- |
| dataset_info: |
| features: |
| - name: images |
| sequence: image |
| - name: problem |
| dtype: string |
| - name: answer |
| dtype: string |
| splits: |
| - name: train |
| num_examples: 39230 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # StepCountQA-RL-Traj_11_50_Combined |
| |
| ## Dataset Description |
| |
| StepCountQA-RL-Traj_11_50_Combined is a unified visual counting RL training dataset covering object counts from **11 to 50**. It merges two complementary 11-50 datasets into a single collection: |
|
|
| | Source | Samples | Description | |
| |--------|---------|-------------| |
| | StepCountQA-RL-Traj_11_50 | 9,508 | `<point>` JSON annotation trajectories, converted to numeric | |
| | StepCountQA-RL-Traj_11_50_NumericOnly | 29,722 | Pure numeric answer from SFT trajectories | |
| | **Combined** | **39,230** | Merged, deduplicated (0 overlap) | |
| |
| All samples pair an original (non-annotated) image with a counting question and a **pure numeric answer string**. |
| |
| ## Dataset Structure |
| |
| ### Data Fields |
| |
| | Field | Type | Description | |
| |-------|------|-------------| |
| | `images` | `Sequence(Image)` | One original image per sample | |
| | `problem` | `string` | Counting question with `<image>` tag | |
| | `answer` | `string` | Numeric count as string (e.g., `"27"`) | |
| |
| ### Format Example |
| |
| ```python |
| { |
| "images": [<PIL.Image>], |
| "problem": "<image>\nHow many people are in the image?", |
| "answer": "39" |
| } |
| ``` |
| |
| ## Dataset Statistics |
| |
| - **Total samples**: 39,230 |
| - **Count range**: 11 – 50 |
| - **Unique images**: 39,230 (zero duplicates verified) |
| - **Total size**: ~8.95 GB (4 parquet shards) |
| |
| ### Count Distribution |
| |
| | Count | Samples | Count | Samples | |
| |-------|---------|-------|---------| |
| | 11 | 2,537 | 31 | 660 | |
| | 12 | 3,297 | 32 | 676 | |
| | 13 | 1,863 | 33 | 591 | |
| | 14 | 2,147 | 34 | 558 | |
| | 15 | 2,145 | 35 | 621 | |
| | 16 | 2,011 | 36 | 687 | |
| | 17 | 1,372 | 37 | 469 | |
| | 18 | 1,732 | 38 | 484 | |
| | 19 | 1,235 | 39 | 464 | |
| | 20 | 1,621 | 40 | 670 | |
| | 21 | 1,136 | 41 | 425 | |
| | 22 | 1,072 | 42 | 474 | |
| | 23 | 967 | 43 | 359 | |
| | 24 | 1,182 | 44 | 383 | |
| | 25 | 976 | 45 | 424 | |
| | 26 | 907 | 46 | 364 | |
| | 27 | 753 | 47 | 323 | |
| | 28 | 879 | 48 | 432 | |
| | 29 | 627 | 49 | 341 | |
| | 30 | 940 | 50 | 426 | |
| |
| ## Comparison with Related Datasets |
| |
| | Dataset | Samples | Count Range | Answer Format | |
| |---------|---------|-------------|---------------| |
| | StepCountQA-RL-Traj_11_50 | 9,508 | 11–50 | Numeric string | |
| | StepCountQA-RL-Traj_11_50_NumericOnly | 29,722 | 11–50 | Numeric string | |
| | **StepCountQA-RL-Traj_11_50_Combined** | **39,230** | **11–50** | **Numeric string** | |
| |
| ## Usage |
| |
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("SI-Lab/StepCountQA-RL-Traj_11_50_Combined") |
| train = ds["train"] |
| print(train[0]) |
| # {'images': [<PIL.Image>], 'problem': '<image>\nHow many people...', 'answer': '39'} |
| ``` |
| |
| ## Dataset Creation |
| |
| Merged from two sources: |
| |
| 1. **StepCountQA-RL-Traj_11_50** (9,508 rows): Original `<point>` annotation dataset with numeric answers extracted |
| 2. **StepCountQA-RL-Traj_11_50_NumericOnly** (29,722 rows): Converted from 11-50 SFT trajectory dataset |
| |
| Merge process: |
| - Extracted image path field from both datasets (streaming, 50 rows/batch) |
| - Verified zero overlap (0 duplicate images between A and B) |
| - Streamed A then B in 100-row batches into 4 output shards |
| - Final row count verified: 9,508 + 29,722 = 39,230 ✓ |
| |
| ## License |
| |
| Please refer to the source dataset license for usage terms. |
| |
