The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xe8 in position 52: invalid continuation byte
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/csv/csv.py", line 196, in _generate_tables
csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
return function(*args, download_config=download_config, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1279, in xpandas_read_csv
return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs)
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
return _read(filepath_or_buffer, kwds)
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 620, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
self._engine = self._make_engine(f, self.engine)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine
return mapping[engine](f, **self.options)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__
self._reader = parsers.TextReader(src, **kwds)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "pandas/_libs/parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__
File "pandas/_libs/parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header
File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "pandas/_libs/parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error
File "<frozen codecs>", line 325, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe8 in position 52: invalid continuation byteNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
HPCA 2027 CPU-Local Agentic Validated Traces
This dataset contains validated CPU-local traces used for HPCA 2027 agentic workload characterization. AppWorld, CORE-Bench, and Terminal-Bench are paper-backed benchmark workloads from official repositories; the hybrid-RAG and data-analysis agents are deterministic characterization workloads retained from the initial pass.
Workloads And Full 100M Results
| Workload | Source | Frontend | Backend | Bad speculation | Retiring |
|---|---|---|---|---|---|
appworld |
ACL 2024 paper / official repo | 8.19% | 51.66% | 19.21% | 20.94% |
core_bench_tomography_3497606 |
TMLR 2025 paper / official repo | 4.33% | 43.01% | 12.55% | 40.11% |
terminalbench_train_fasttext |
ICLR 2026 paper / official repo | 4.35% | 51.63% | 11.47% | 32.55% |
hybrid_rag_100k_d384_q64 |
deterministic CPU hybrid retrieval workflow | 0.005044% | 83.782907% | 0.012178% | 16.199871% |
data_analysis_agent_e4m_r8 |
deterministic CPU data-analysis workflow | 3.298938% | 54.668990% | 4.322370% | 37.709701% |
AppWorld runs released train/development solutions against its local 457-API
environment. CORE-Bench runs official Code Ocean capsule 3497606, the
iterative tomography workload. Terminal-Bench runs its official
train-fasttext Yelp model-training task. All three measured phases are
CPU-only and exclude external model/API waiting.
Percentages are derived from the four raw Scarab top-down counters in each workload's full-simulation validation directory. All four values sum to 100%.
Bundle Layout
Every workload uses the legacy BFS/ASPLOS-compatible directory structure:
<workload>/
fingerprint/
simpoints/
traces/whole/<dr-folder>/{raw,trace,bin}/
traces_simp/{raw,trace,bin}/
trace_clustering_info.json
validation/
workload/
AppWorld selected segments 4, 5, and 9 with weights 0.100654, 0.100654, and 0.798692. CORE-Bench selected segments 3, 7, and 8 with weights 0.300328, 0.499453, and 0.200219. Terminal-Bench selected segments 2, 5, and 6 with weights 0.376507, 0.376507, and 0.246985.
The AppWorld and CORE-Bench traces require decoder history. Their selected ZIPs
therefore contain contiguous chunks 0..selected, while retaining the same
four-digit chunk names and BFS directory/descriptor interface. Simulations
must use the selected segment's standard 10M-instruction ROI offset.
Validation
For AppWorld, CORE-Bench, and Terminal-Bench:
- the whole trace covers the intended 100M-instruction window after a 1B skip;
- every ZIP passes integrity testing;
- selected weights normalize to 1.0;
- every selected archive completes a 1M-instruction Scarab smoke simulation;
- selected SimPoints have distinct raw top-down vectors;
- full simulations use the Golden Cove setup with
--dcache_assoc 8; - full simulations reproduce 51.66%, 43.01%, and 51.63% backend bound;
- workload paper, repository revision, command, and compatibility notes are
recorded under
workload/andvalidation/.
Per-file SHA-256 checksums are provided in the root SHA256SUMS. The
DynamoRIO ARCH_REGDEPS warning is also present in the previously validated
database and agentic releases; successful Scarab completion and raw counters
are the acceptance criteria.
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