Datasets:
The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
df = pandas_read_json(f)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, 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 4523, 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 2768, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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/json/json.py", line 327, in _generate_tables
raise e
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Lost Labels: evidence acquisition in a simulated thermal rig
Fully synthetic telemetry, documents and controlled interventions. No physical hardware or personal data. Beam inference is real, routed through Hugging Face Baseten. Exact requested/returned identifiers, settings and usage are in episodes.
agent/inputs.jsonl contains only model-visible initial evidence. Hidden identities
are isolated in evaluator/answers.jsonl; NEVER feed that file to an investigator.
Runtime tools cannot read evaluator files. scenarios/ includes physical protocol
config for offline simulator reproduction; only Rig.view is sent to Beam.
Evaluation and provenance
Version 1 families were retired after an independent support-validation correction. Version 2 froze new relay/hold_ms and valve/cycles families before evaluation. Both active heldouts resolved correctly with distinct appropriate probes and exact adapter replay; active symmetric investigation stayed unresolved. There are nine scheduled episodes per version (passive Beam, active Beam, conventional x3 cases). V2: four correct supported resolutions (two Beam, two conventional), four unresolved, one passive schema error, zero unsupported assignments, eight exact replay passes. V1 also contains a passive schema error. Failures remain in the denominator. This small evaluation demonstrates the fixed product outcomes; it does not establish statistical superiority. Conventional parsing has the same documents/probes.
traces/evaluation-v2/ contains all outcomes, response/tool messages, usage and
standalone adapters. Private reasoning fields are omitted in this public copy;
local audit evidence retains provider serialization needed for turn continuity.
Schemas, frozen split manifests and source-input fingerprints are included.
budget.json is a changing deployment reservation ledger, not evaluation data;
all other evaluation files are revision pinned and hashed by provenance.json.
Fresh load, no dependencies:
import json, urllib.request
url = "https://huggingface.co/datasets/HIMANSHUKUMARJHA/lost-labels/resolve/REVISION/agent/inputs.jsonl"
rows = [json.loads(line) for line in urllib.request.urlopen(url)]
assert len(rows) == 7
For each exported adapter: python3 -I adapter.py < replay.jsonl.
Units are documented F-to-C and millivolt-to-volt only. counts stays uncalibrated.
Causal arrival handling, missing values and physical faults remain explicit.
This is one four-channel simulated rig, with no industrial safety or calibration claim.
Source: Space HIMANSHUKUMARJHA/lost-labels, license MIT.
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