Datasets:

innofacisteven
/

eda-log-dataset-for-ic-debugging

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train

The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
case_id: string
guardrail: string
rule: string
query: string
log_id: string
triggered: bool
passed: bool
warning: string
drc_flag: string
net: string
timing_wns: double
fix_hint: string
line_num: int64
severity: string
verilog_files: list<item: string>
  child 0, item: string
issue_type: string
log_line: string
has_timing_violation: bool
timing_tns: double
tool_name: string
module: string
to
{'log_id': Value('string'), 'tool_name': Value('string'), 'verilog_files': List(Value('string')), 'severity': Value('string'), 'line_num': Value('int64'), 'log_line': Value('string'), 'issue_type': Value('string'), 'module': Value('string'), 'net': Value('string'), 'timing_wns': Value('float64'), 'timing_tns': Value('float64'), 'has_timing_violation': Value('bool'), 'fix_hint': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2567, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2125, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 479, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 380, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              case_id: string
              guardrail: string
              rule: string
              query: string
              log_id: string
              triggered: bool
              passed: bool
              warning: string
              drc_flag: string
              net: string
              timing_wns: double
              fix_hint: string
              line_num: int64
              severity: string
              verilog_files: list<item: string>
                child 0, item: string
              issue_type: string
              log_line: string
              has_timing_violation: bool
              timing_tns: double
              tool_name: string
              module: string
              to
              {'log_id': Value('string'), 'tool_name': Value('string'), 'verilog_files': List(Value('string')), 'severity': Value('string'), 'line_num': Value('int64'), 'log_line': Value('string'), 'issue_type': Value('string'), 'module': Value('string'), 'net': Value('string'), 'timing_wns': Value('float64'), 'timing_tns': Value('float64'), 'has_timing_violation': Value('bool'), 'fix_hint': Value('string')}
              because column names don't match

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EDA Log Dataset for IC Debugging

📌 專案背景

這份資料集是 2026 智慧創新大賞 (Best AI Awards) 參賽專案 Agentic-EDA Copilot 的核心元件，專門用來解決 IC 設計流程中，RTL 到 GDS 迭代所產生的大量非結構化 Log 解析難題。

📊 資料內容

涵蓋模擬 EDA 工具（如 OpenROAD）執行日誌，分為以下三大類別：

類別	說明
Timing Violations	WNS（Worst Negative Slack）與 TNS 違規樣本
Physical Design Rules	Multi-driven net、Latch inferred 等電路錯誤
Hybrid Metadata	經 Regex 解析後萃取的結構化欄位（Severity、Line Number、Module Name）

🔗 相關連結

GitHub Repository：Agentic-EDA Copilot
核心技術：n8n Workflow 搭配 Agentic RAG 架構

🛠️ 使用方式

搭配專案內建的 Hybrid Parser 載入：

from datasets import load_dataset

ds = load_dataset("innofacisteven/eda-log-dataset-for-ic-debugging")

載入後建議先執行 Regex 預處理管線，將原始 Log 結構化，再送入 LightRAG 進行語意檢索。完整使用流程請參考 GitHub Repository 的 docs/pipeline.md。

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