Datasets:

guodaosun
/

Mega60k

Tasks:

Question Answering

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1M<n<10M

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The dataset generation failed because of a cast error

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 3 new columns ({'__index_level_1__', '__index_level_0__', '__index_level_2__'})

This happened while the csv dataset builder was generating data using

hf://datasets/guodaosun/Mega60k/MegaCQA_Evaluation0.2k_compress/area/csv/area_1005.csv (at revision b680e208c433be785edff3a89700036d750703c1)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Business and Finance: string
              Market Share: string
              %: string
              __index_level_0__: string
              __index_level_1__: string
              __index_level_2__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__", "__index_level_1__", "__' + 978
              to
              {'Business and Finance': Value('string'), 'Market Share': Value('string'), '%': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 3 new columns ({'__index_level_1__', '__index_level_0__', '__index_level_2__'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/guodaosun/Mega60k/MegaCQA_Evaluation0.2k_compress/area/csv/area_1005.csv (at revision b680e208c433be785edff3a89700036d750703c1)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Business and Finance string	Market Share string	% string
Year	Vanguard Dynamics	Aegis Corp
trend	volatile_rising	exponential_falling
1971	18.91	19.39
1972	20.15	17.75
1973	24.43	16.2
1974	24.92	14.57
1975	27.36	13.48
1976	28.44	11.87
1977	28.74	10.29
1978	31.25	9.01
1979	33.25	8.33
1980	33.91	7.27
1981	35.6	6.71
1982	37.63	6.36
1983	38.05	5.49
1984	40.39	5.35
1985	42.06	4.14
1986	43.28	3.44
Apex Systems	Ironclad Ventures	Aegis Corp
exponential_rising	volatile_rising	volatile_falling
19.91	19.75	19.28
22.65	21.44	20.26
23.74	21.32	17.01
26.46	24.93	17.15
28.44	26.05	14.1
31.92	26.24	14.2
36.11	29.31	12.82
38.57	30.87	9.89
43.58	34.61	11.33
47.16	34.12	9.27
51.39	36.14	8.23
57.44	37.91	5.73
63.14	39.01	5.15
69.0	40.46	4.85
76.11	41.14	2.39
83.5	44.79	2.32
Apex Systems	null	null
stable_rising	null	null
5088667.71	null	null
5529398.37	null	null
5582030.9	null	null
5741087.39	null	null
6065319.8	null	null
6073066.26	null	null
6526432.55	null	null
6818767.44	null	null
6853360.82	null	null
7234673.44	null	null
7265258.69	null	null
7854262.73	null	null
8003497.2	null	null
8347032.04	null	null
8461226.72	null	null
8520762.13	null	null
9121335.84	null	null
9138427.36	null	null
Ironclad Ventures	null	null
exponential_falling	null	null
0.5	null	null
0.44	null	null
0.41	null	null
0.36	null	null
0.33	null	null
0.3	null	null
0.27	null	null
0.24	null	null
0.22	null	null
0.19	null	null
0.17	null	null
0.16	null	null
0.15	null	null
0.14	null	null
0.11	null	null
0.11	null	null
0.1	null	null
0.09	null	null
0.09	null	null
0.07	null	null
0.07	null	null
0.06	null	null
0.05	null	null
0.04	null	null
NovaTech Solutions	null	null
stable_falling	null	null
0.5	null	null
0.48	null	null
0.47	null	null
0.46	null	null
0.44	null	null
0.42	null	null
0.4	null	null
NovaTech Solutions	null	null
exponential_rising	null	null
9757842.46	null	null
11107592.98	null	null
12784793.95	null	null
13455095.54	null	null
14681561.51	null	null
16156981.72	null	null
17697077.6	null	null

End of preview.

Mega60k: Chart Question Answering Dataset

Dataset Overview

A multimodal chart question answering dataset featuring charts in multiple formats (CSV, PNG, SVG) and degraded PNG images with components omission, occlusion, blurring, and rotation to enhance robustness evaluation.

Languages: English

Chart Type Distribution

Chart Type	Count	Chart Type	Count	Chart Type	Count
Area	200	Bar	200	Box	200
Bubble	200	Chord	200	Fill-bubble	200
Funnel	200	Heatmap	200	Line	200
Node-link	200	Parallel	200	Pie	200
Radar	200	Ridgeline	200	Sankey	200
Scatter Plot	200	Stacked-bar	200	Stream	200
Sunburst	200	Treemap	200	Violin	200
Total	4,200

Question Type Distribution

Question Type	Example	Answer
Chart Type Recognition (CTR)	"What type of chart is this?"	"This chart is a line chart."
Visual Element Counting (VEC)	"How many lines are there in this line chart?"	"There are 3 lines."
Spatial Relationship Perception (SRP)	"On plant 1, what is the spatial relationship of the data point in 2016 relative to that in 2015 in terms of vertical (above/below) and horizontal (left/right) directions?"	"On plant 1, the data point in 2016 is below and to the right of the data point in 2015."
Visual Pattern Recognition (VPR)	"What is the trend of China's oil storage levels?"	"China's oil storage levels show a steady upward trend."
Value Extraction (VE)	"What is China's oil storage in 2025?"	"China's oil storage in 2025 is 500 million barrels."
Extreme Value Judgment (EVJ)	"What is the global maximum oil storage in the line chart?"	"The global maximum oil storage is 30."
Statistical Calculation (SC)	"What is the average value of China's oil storage?"	"The average value of China's oil storage is 600."
Numerical Filtering (NF)	"In the year 2000, which countries had oil storage exceed 300 million barrels? Please list the countries and corresponding values."	"The USA had 320 million barrels, China had 310 million barrels."
Numerical Comparison (NC)	"Between 2022 and 2025, which country experienced a larger change in oil storage, China or the USA?"	"China experienced a larger change in oil storage."
Multi-Step Reasoning (MSR)	"Which label shows the fastest average growth rate between 2015 and 2020?"	"China has the fastest average growth rate between 2015 and 2020."
Visual Analysis (VA)	"Perform the Douglas-Peucker algorithm to simplify the line representing the China. List the x-coordinates of data points to be preserved."	"The x-coordinates of the data points to be preserved are: 2021, 2022, 2023, 2025."

File Organization

dataset/
├── area/
│   ├── csv/
│   │   ├── area_7.csv
│   │   ├── area_18.csv
│   │   └── ...
│   ├── png/
│   │   ├── area_7.png
│   │   ├── area_18.png
│   │   └── ...
│   ├── svg/
│   │   ├── area_7.svg
│   │   ├── area_18.svg
│   │   └── ...
│   └── qa/
│       ├── area_7.json
│       ├── area_18.json
│       └── ...
├── bar/
│   ├── csv/
│   ├── png/
│   ├── svg/
│   └── qa/
├── box/
│   ├── csv/
│   ├── png/
│   ├── svg/
│   └── qa/
├── bubble/
│   ├── csv/
│   ├── png/
│   ├── svg/
│   └── qa/
└── ... (other chart types)

Citation

If you use this dataset or benchmark, please cite:

@dataset{ChartMind2025li,
    title={ChartMind: Benchmark and Deconstruction for Multimodal Chart Reasoning},
    author={Tong Li, Guodao Sun, Shunkai Wang, Zuoyu Tang, Yang Shu, Xueqian Zheng, Zhentao Zheng, Qi Jiang, Haixia Wang, Ronghua Liang},
    year={2025},
    url={https://huggingface.co/datasets/guodaosun/Mega60k}
}

Contact Information

Author: Tong Li (李童)
Email: litong@zjut.edu.cn
Homepage: https://tongli97.github.io/

Downloads last month: 4

Total file size:

1.3 GB