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Correct source row counts
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metadata
task_categories:
  - image-text-to-text
tags:
  - chart-to-code
  - code-generation
  - multimodal
pretty_name: VinciCoder Chart2Code 0-10k (seed 0)

VinciCoder Chart2Code, rows 0-10000 of seed 0

10,000 chart-to-code examples (chart image, instruction, reference matplotlib program) drawn from the chart2code_1.parquet file of DocTron-Hub/VinciCoder-1.6M-SFT (revision 974a038fb6f695e7a935112d4df430926fc468b3). All rights and terms are those of the source dataset and the works it collects.

Selection

  • The first 163,186 of the file's 210,137 rows (the Chart2Code head) are split by SHA-256 of the image: 1% held out (1,678 rows, never included here), 161,508 for training.
  • The training rows are shuffled once with random.Random(0).shuffle(train_indices); this dataset is positions [0, 10000) of that order, in that order. permutation.json holds the full order (sha256 bc4a30fffc10377e4c56b71dfbe5679a5e93e5d3723a392c4d7abcc3cc90aa34), so [10000, 10000 + N) gives the next, non-overlapping chunk.
  • manifest.json records the source split and the sha256 of these indices (f399c46e442a9895af38ed8c7e74a3d884f5059980c2a486f9a4d8ec3c32c8ff).

Columns

Column Meaning
source_index Row number in the source chart2code_1.parquet
image Reference chart
user_content Instruction
assistant_content Reference answer (matplotlib code)