README.md

metadata

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

{
  "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

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.