Datasets:

AbiralArch
/

hardware-cvdp-examples

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
total_problems: int64
by_task_type: struct<code_generation: int64, code_comprehension: int64>
by_categories: struct<cid012: int64, easy: int64, cid010: int64, cid003: int64, cid014: int64>
content_stats: struct<with_prompts: int64, with_solutions: int64, with_harnesses: int64, avg_prompt_length: double, avg_solution_files: double>
vs
source: string
file: string
line: int64
id: string
categories: list<item: string>
input: struct<context: struct<rtl/barrel_shifter.sv: string, verif/tb.sv: string>, prompt: string>
output: struct<context: struct<rtl/lfsr_8bit.sv: string, verif/gf_multiplier_tb.sv: string>, response: string>
harness: struct<Dockerfile: string, docker-compose.yml: string, files: struct<Dockerfile: string, docker-compose.yml: string, src/.env: string, src/coverage.cmd: string, src/gf_multiplier.sv: string, src/process.py: string, src/test_lfsr.py: string, src/test_runner.py: string>, src/.env: string, src/harness_library.py: string, src/test_fixed_priority_arbiter.py: string, src/test_pri_enc_8x3.py: string, src/test_runner.py: string>
task_type: string
metadata: struct<agentic: bool, commercial: bool, file_size: int64, has_harness: bool, has_prompt: bool, has_solution: bool>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 543, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              total_problems: int64
              by_task_type: struct<code_generation: int64, code_comprehension: int64>
              by_categories: struct<cid012: int64, easy: int64, cid010: int64, cid003: int64, cid014: int64>
              content_stats: struct<with_prompts: int64, with_solutions: int64, with_harnesses: int64, avg_prompt_length: double, avg_solution_files: double>
              vs
              source: string
              file: string
              line: int64
              id: string
              categories: list<item: string>
              input: struct<context: struct<rtl/barrel_shifter.sv: string, verif/tb.sv: string>, prompt: string>
              output: struct<context: struct<rtl/lfsr_8bit.sv: string, verif/gf_multiplier_tb.sv: string>, response: string>
              harness: struct<Dockerfile: string, docker-compose.yml: string, files: struct<Dockerfile: string, docker-compose.yml: string, src/.env: string, src/coverage.cmd: string, src/gf_multiplier.sv: string, src/process.py: string, src/test_lfsr.py: string, src/test_runner.py: string>, src/.env: string, src/harness_library.py: string, src/test_fixed_priority_arbiter.py: string, src/test_pri_enc_8x3.py: string, src/test_runner.py: string>
              task_type: string
              metadata: struct<agentic: bool, commercial: bool, file_size: int64, has_harness: bool, has_prompt: bool, has_solution: bool>

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hardware-cvdp-examples

CVDP Example Problems - 5 comprehensive hardware design problems

Dataset Overview

This dataset is part of a comprehensive collection of hardware design datasets for training and evaluating LLMs on Verilog/SystemVerilog code generation and hardware design tasks.

Files

cvdp_problems.json: 5 CVDP example problems with full content
analysis.json: Analysis of CVDP problems

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset('AbiralArch/hardware-cvdp-examples')

# Access the data
data = dataset['train']

Citation

If you use this dataset in your research, please cite:

@dataset{hardware_design_dataset,
  title={hardware-cvdp-examples},
  author={Architect-Chips},
  year={2025},
  url={https://huggingface.co/datasets/AbiralArch/hardware-cvdp-examples}
}

License

This dataset is provided for research and educational purposes. Please check individual source licenses.

Acknowledgments

This dataset combines data from multiple sources in the hardware design community. We thank all contributors and original dataset creators.

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