datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gridline-chartqa
Adaption Charts P2 — Gold Chart-QA Dataset
A verified, quality-first chart question-answering dataset built for the
Adaption Labs AutoScientist Challenge (Part 2, Data Visualization track).
Two sources: a programmatically generated synthetic core
(correct-by-construction) and a hand-authored hardset built from real
public dashboards and reports.
At a glance
1415 rows total — 1317 synthetic + 98 hardset
7 chart types — bar, line, grouped_bar, stacked_bar, pie… See the full description on the dataset page: https://huggingface.co/datasets/vinod-anbalagan/gridline-chartqa.EVisRAG-Test-ChartQADataset Description
This is a VQA dataset about Charts with Visual and Logical Reasoning from ChartQA.
Load the dataset
import pandas as pd
import os
import sys
data_name = sys.argv[1]
df = pd.read_parquet(f"data/{data_name}/images.parquet", engine="pyarrow")
output_dir = f"data/{data_name}"
os.makedirs(f"{output_dir}/imgs", exist_ok=True)
for idx, row indf.iterrows():
img_bytes = row['image']['bytes']
output_path = os.path.join(output_dir, row["path"])
with open(output_path, "wb")… See the full description on the dataset page: https://huggingface.co/datasets/Boggy666/EVisRAG-Test-ChartQA.EVisRAG-Test-ChartQADataset Description
This is a VQA dataset about Charts with Visual and Logical Reasoning from ChartQA.
Load the dataset
import pandas as pd
import os
import sys
data_name = sys.argv[1]
df = pd.read_parquet(f"data/{data_name}/images.parquet", engine="pyarrow")
output_dir = f"data/{data_name}"
os.makedirs(f"{output_dir}/imgs", exist_ok=True)
for idx, row in df.iterrows():
img_bytes = row['image']['bytes']
output_path = os.path.join(output_dir, row["path"])
with open(output_path… See the full description on the dataset page: https://huggingface.co/datasets/openbmb/EVisRAG-Test-ChartQA.chartqa-tables
ChartQA Tables
This dataset contains pre-extracted tables and metadata from the ChartQA dataset by Ahmed Masry et al.
Dataset Description
ChartQA is a benchmark for question answering about charts with visual and logical reasoning. This companion dataset provides:
Structured tables extracted from chart images (CSV format)
Formatted tables in the paper's format for model input
Purpose
The original ChartQA paper evaluated models in two modes:
With gold tables… See the full description on the dataset page: https://huggingface.co/datasets/nmayorga7/chartqa-tables.