Datasets:

Srishti280992
/

timercd-repro-bundle

Modalities:

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Split (1)

test

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

The dataset generation failed because of a cast error

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 18 new columns ({'Affiliation-P', 'VUS-ROC', 'Standard-Recall', 'PA-Precision', 'VUS-PR', 'Affiliation-F', 'Precision_T', 'model', 'Recall_T', 'Standard-F1', 'F1_T', 'AUC-PR', 'Standard-Precision', 'Affiliation-R', 'PA-Recall', 'AUC-ROC', 'sample', 'PA-F1'}) and 4 missing columns ({'index', 'series', 'labels', 'anomalies'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Srishti280992/timercd-repro-bundle/outputs/hf_job_results/specialized_eval_1784687655/specialized_eval_per_series.csv (at revision bec86a66e483e2147383f9ea176574d83ae2a9d2), ['hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784687655/specialized_contextual_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784687655/specialized_eval_per_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784687655/specialized_point_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784688290/specialized_eval_per_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784743006/specialized_contextual_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784743006/specialized_eval_per_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784743006/specialized_point_series.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              split: string
              sample: int64
              model: string
              AUC-PR: double
              AUC-ROC: double
              VUS-PR: double
              VUS-ROC: double
              Standard-F1: double
              Standard-Precision: double
              Standard-Recall: double
              PA-F1: double
              PA-Precision: double
              PA-Recall: double
              Affiliation-F: double
              Affiliation-P: double
              Affiliation-R: double
              F1_T: double
              Precision_T: double
              Recall_T: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2539
              to
              {'split': Value('string'), 'index': Value('int64'), 'series': Value('string'), 'labels': Value('string'), 'anomalies': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 18 new columns ({'Affiliation-P', 'VUS-ROC', 'Standard-Recall', 'PA-Precision', 'VUS-PR', 'Affiliation-F', 'Precision_T', 'model', 'Recall_T', 'Standard-F1', 'F1_T', 'AUC-PR', 'Standard-Precision', 'Affiliation-R', 'PA-Recall', 'AUC-ROC', 'sample', 'PA-F1'}) and 4 missing columns ({'index', 'series', 'labels', 'anomalies'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Srishti280992/timercd-repro-bundle/outputs/hf_job_results/specialized_eval_1784687655/specialized_eval_per_series.csv (at revision bec86a66e483e2147383f9ea176574d83ae2a9d2), ['hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784687655/specialized_contextual_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784687655/specialized_eval_per_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784687655/specialized_point_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784688290/specialized_eval_per_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784743006/specialized_contextual_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784743006/specialized_eval_per_series.csv', 'hf://datasets/Srishti280992/timercd-repro-bundle@bec86a66e483e2147383f9ea176574d83ae2a9d2/outputs/hf_job_results/specialized_eval_1784743006/specialized_point_series.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

split string	index int64	series string	labels string	anomalies string
contextual	0	[0.292474330257888, 0.06905324784063338, 0.15971153003181301, 0.08052951700079403, 0.26937896374333403, 0.3994260669029705, 0.014782767659583057, 0.28601862465610206, 0.3903604388009331, -0.006406446401637352, 0.4440120806120743, 0.12912095107111538, 0.23064118495589875, 0.019034596252029346, 0.37581609089145085, 0.205...	[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	["0_amplitude_scaling"]
contextual	1	[0.09070575456920849, 0.20009196421363562, 0.10901424978743379, 0.08679161586845718, 0.008925758835352737, -0.055345121235907735, 0.1670862558623385, 0.11212145624557102, 0.09198547333216522, -0.20131209433065655, 0.07169506036700224, -0.18998001399186615, -0.15226829291881439, 0.1929716055332219, 0.11547149173075644, ...	[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	["0_amplitude_scaling"]
contextual	2	[-1.2978261815002423, -1.1423181107467368, -1.0234748237882472, -1.302585497080865, -0.8033174729818124, -0.7625243542067024, -0.7834685005010662, -0.2504736797229361, -0.5169408711524569, -0.3258858678145227, 0.15812431716541397, -0.05689277903536852, 0.1458314253646594, 0.21520607610472078, -0.013082648295104348, -0....	[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	["0_noise_injection"]
contextual	3	[-0.22246469641197636, -0.20143341888576607, -0.13510914397236845, -0.14555723928471148, -0.09566302941360691, -0.07886512451522851, -0.1233718632802441, -0.15679067241952163, -0.06649159242023471, -0.006732138776440183, 0.04049895480216076, 0.015422404249423823, -0.00048590873581652225, -0.033546177102274415, -0.00597...	[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	["0_pulse_width_modulation"]
contextual	4	[-3.0, -2.9925566398265007, -2.978486189165339, -2.9779159739249494, -2.959293665557595, -2.953832924080077, -2.9610475578166873, -2.9699230752300347, -2.976132116367421, -2.968970113004513, -2.980222086628568, -2.966312564198921, -2.959288258687042, -2.943678250721185, -2.93350202586082, -2.923591079960554, -2.9081901...	[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	["0_phase_shift"]
contextual	5	[-2.862858953512892, -2.617292358305186, -1.6793522809525974, -0.9198023526567733, -0.34512097667482744, -0.3786168533665246, -0.5727046297321927, -0.8523600461947464, -0.7163838345728464, -0.4157708326959125, -0.6952345510827571, -0.3829712505370897, -0.5949187403367163, -1.0572708183344899, -0.6535214880261103, -0.76...	[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	["0_modify_harmonic_mod_phase"]
contextual	6	[-1.9578066643511693, -1.9464880098852115, -1.901448847641571, -1.8693667197623705, -1.8324302036425022, -1.811233533976097, -1.759229931170734, -1.7227399132014396, -1.6137363774174724, -1.7227304658315765, -1.5239922513166941, -2.140974319586654, -0.8253272124489047, -1.1987650663515315, -2.334123070232669, -1.379669...	[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	["0_noise_injection"]
contextual	7	[-1.7114308141268424, -1.7335163405991487, -1.7634137744908092, -1.8023557359741043, -1.7600297511981928, -1.715370882224895, -1.6055938743981875, -1.5105061628867755, -1.4604692004466653, -1.4088449759236399, -1.3970186418852277, -1.3675885803539565, -1.3512251258975576, -1.3364838059648276, -1.3153682705776806, -1.33...	[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	["0_waveform_change"]
contextual	8	[-1.260609180058898, -1.4462197059280726, -1.4944133794156098, -1.81133686939553, -1.7326709351920284, -1.5937330805383594, -1.401418277959928, -0.9849553630219967, -0.7576610711964076, -0.5229863993329378, -0.5487879071111283, -0.3755942835798054, -0.5518865574988174, -0.748291113412531, -0.9355785847271427, -1.027305...	[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	["0_phase_shift"]
contextual	9	[0.5705100575431021, -0.02593644219462357, -0.18005919350515343, -0.11115544827295419, 0.49251652898531456, -0.023055414424289992, 0.5663163031210594, 0.6613118172829779, 0.5467245111340138, 0.9501290917642532, 0.706113887227642, 0.9838434483531514, 0.5465159868081618, 0.5431350517267888, 0.41899691819592183, -0.415072...	[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	["0_amplitude_scaling"]
point	null	null	null	null
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point	null	null	null	null
point	null	null	null	null
contextual	null	null	null	null
contextual	null	null	null	null
contextual	null	null	null	null
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contextual	null	null	null	null
contextual	null	null	null	null

End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

TimeRCD reproduction bundle

This bundle mirrors the evidence used in the logbook:

scripts/rank_recount.py: parses arXiv v3/v5 Table 1 HTML and recomputes rank counts.
scripts/timercd_deep_audit.py: audits released TimeRCD checkpoints/code and public synthetic generator throughput.
scripts/timercd_checkpoint_probe.py: runs the released univariate checkpoint on a small generated contextual set.
scripts/reproduce_timercd_evidence.py: earlier paper/code/generator/proxy evidence bundle.
scripts/hf_timercd_probe.py: reduced Hugging Face T4 cloud probe.
outputs/: JSON/CSV/HTML outputs from the runs.

Official assets used: https://huggingface.co/thu-sail-lab/Time-RCD, https://github.com/thu-sail-lab/Time-RCD, https://github.com/thu-sail-lab/TSAD_dataset_gen_public.

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