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Datasets:
pCwOrM
/
werr_open_decisions

Tasks:
Text Classification
Zero-Shot Classification
Feature Extraction
Languages:
English
Turkish
Size:
1K<n<10K
ArXiv:
Tags:
edge-ai
zero-vram
fractal-neural-synthesis
reflex-ai
system-1
mandelbrot
License:
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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:    TypeError
Message:      Couldn't cast array of type struct<dogrudan_api: double, karantina: double, engelle: double, 0: double, 1: double, 2: double, 3: double, direct_api: double, rate_limiter: double, sandbox_audit: double, drop_packet: double, opt_0: double, opt_1: double, opt_2: double, opt_3: double, opt_4: double, opt_5: double, opt_6: double, opt_7: double, a: double, b: double, fast: double, normal: double, slow: double, eco_mode: double, active_climate: double, air_purify: double, evacuate_alarm: double, instant_capture: double, step_up_3ds: double, manual_review: double, hard_decline: double, flank_attack: double, take_cover: double, suppressing_fire: double, retreat_heal: double, auto_approve: double, manual_underwrite: double, counter_offer: double, reject_adverse: double, Low: double, Medium: double, High: double, Critical: double, termal_denaturasyon_uygula: double, tuzakli_ikincil_eylem: double, dondurma_engeli_onlemi: double, hibritlesme_tavlama: double, Bozulmus: double, Hassas: double, Kararli: double, Optimum: double, dogrudan_gecis: double, paketi_dusur: double, hiz_sinirlayici: double, Dusuk: double, Orta: double, Yuksek: double, Kritik: double, acil_tahliye_sogutma: double, standart_operasyon: double, kademeli_hiz_kesme: double, izolasyon_odasi_kapat: double, Kontrollu: double, Tehlikeli: double, Facia_Riski: double, aninda_onay_transfer: double, bloke_koy_ve_reddet: double, manuel_hazine_incelemesi: double, ikincil_onay_sms: double, A_Sinifi: double, B_Sinifi: double, Riskli: double, Kritik_Zarar: double
...
_altin_oran: double, nihilistik_kayitsizlik: double, Aksiyomatik: double, Akla_Yakin: double, Paradoksal: double, tuzak_dogrudan_onay: double, tuzak_dondurma_engeli: double, guvenli_izolasyon: double, glork_sΓΆnΓΌmle: double, spline_ayarla: double, Kaotik: double, gecise_izin_ver: double, beklemeye_al: double, yetkiliye_aktar: double, islemi_durdur: double, Rutin: double, Oncelikli: double, Acil: double, rotayi_surdur: double, temkinli_bekle: double, guvenli_bΓΆlgeye_cekil: double, acil_alarm_ver: double, Sakin: double, Hafif_Risk: double, Zorlu: double, Firtina_Tehlikesi: double, klasik_uygula: double, modern_yorumla: double, hassas_duzelt: double, yeniden_calis: double, Karmasik: double, Basit_Mukemmel: double, approve: double, quarantine: double, reject: double, rate_limit: double, block: double, track_order: double, cancel_order: double, change_address: double, report_damage: double, billing_question: double, set_alarm: double, play_music: double, weather: double, send_message: double, turn_off_lights: double, yes: double, no: double, hiz_limiti: double, karantina_inceleme: double, Nominal: double, Minor: double, Substantial: double, direct: double, drop: double, Minimal: double, Safe / Clean: double, Moderate Warning: double, High Anomaly: double, Critical Hazard: double, Clean / Safe: double, Minor Anomaly: double, High Risk: double, Critical Threat: double, DENY_AND_QUARANTINE: double, REQUEST_HUMAN_OVERRIDE: double, APPROVE_WITH_LOGGING: double, APPROVE_SILENTLY: double> to string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in 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/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2118, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2068, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2016, in array_cast
                  raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
              TypeError: Couldn't cast array of type struct<dogrudan_api: double, karantina: double, engelle: double, 0: double, 1: double, 2: double, 3: double, direct_api: double, rate_limiter: double, sandbox_audit: double, drop_packet: double, opt_0: double, opt_1: double, opt_2: double, opt_3: double, opt_4: double, opt_5: double, opt_6: double, opt_7: double, a: double, b: double, fast: double, normal: double, slow: double, eco_mode: double, active_climate: double, air_purify: double, evacuate_alarm: double, instant_capture: double, step_up_3ds: double, manual_review: double, hard_decline: double, flank_attack: double, take_cover: double, suppressing_fire: double, retreat_heal: double, auto_approve: double, manual_underwrite: double, counter_offer: double, reject_adverse: double, Low: double, Medium: double, High: double, Critical: double, termal_denaturasyon_uygula: double, tuzakli_ikincil_eylem: double, dondurma_engeli_onlemi: double, hibritlesme_tavlama: double, Bozulmus: double, Hassas: double, Kararli: double, Optimum: double, dogrudan_gecis: double, paketi_dusur: double, hiz_sinirlayici: double, Dusuk: double, Orta: double, Yuksek: double, Kritik: double, acil_tahliye_sogutma: double, standart_operasyon: double, kademeli_hiz_kesme: double, izolasyon_odasi_kapat: double, Kontrollu: double, Tehlikeli: double, Facia_Riski: double, aninda_onay_transfer: double, bloke_koy_ve_reddet: double, manuel_hazine_incelemesi: double, ikincil_onay_sms: double, A_Sinifi: double, B_Sinifi: double, Riskli: double, Kritik_Zarar: double
              ...
              _altin_oran: double, nihilistik_kayitsizlik: double, Aksiyomatik: double, Akla_Yakin: double, Paradoksal: double, tuzak_dogrudan_onay: double, tuzak_dondurma_engeli: double, guvenli_izolasyon: double, glork_sΓΆnΓΌmle: double, spline_ayarla: double, Kaotik: double, gecise_izin_ver: double, beklemeye_al: double, yetkiliye_aktar: double, islemi_durdur: double, Rutin: double, Oncelikli: double, Acil: double, rotayi_surdur: double, temkinli_bekle: double, guvenli_bΓΆlgeye_cekil: double, acil_alarm_ver: double, Sakin: double, Hafif_Risk: double, Zorlu: double, Firtina_Tehlikesi: double, klasik_uygula: double, modern_yorumla: double, hassas_duzelt: double, yeniden_calis: double, Karmasik: double, Basit_Mukemmel: double, approve: double, quarantine: double, reject: double, rate_limit: double, block: double, track_order: double, cancel_order: double, change_address: double, report_damage: double, billing_question: double, set_alarm: double, play_music: double, weather: double, send_message: double, turn_off_lights: double, yes: double, no: double, hiz_limiti: double, karantina_inceleme: double, Nominal: double, Minor: double, Substantial: double, direct: double, drop: double, Minimal: double, Safe / Clean: double, Moderate Warning: double, High Anomaly: double, Critical Hazard: double, Clean / Safe: double, Minor Anomaly: double, High Risk: double, Critical Threat: double, DENY_AND_QUARANTINE: double, REQUEST_HUMAN_OVERRIDE: double, APPROVE_WITH_LOGGING: double, APPROVE_SILENTLY: double> to string

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WERR Open Decisions Benchmark Dataset

Official benchmark dataset accompanying the research paper:
"Universal Fractal Natural Language Decision Map: Real-Time Edge Triage Across Heterogeneous Domains"
arXiv:2609.25498

πŸ“Œ Dataset Summary

werr_open_decisions contains 1,205 verified decision trajectories and over 3,200 evaluation questions evaluated using the WERR (Waves & Errors) machine-native zero-VRAM reflex engine and the production answerr.me platform.

Unlike conventional neural networks storing millions of static tensor parameters, each decision is procedurally synthesized from a 24-byte Mandelbrot coordinate seed $\Theta = (c_x, c_y, \text{zoom})$ evaluating non-linear escape dynamics along the chaotic boundary of the Mandelbrot set $\mathbb{M}$.

Decision Primitives:

  1. noul (Boolean / Binary): Instant binary triage (e.g. permit / reject, anomaly detection, panic trip).
  2. choice (Categorical): Multi-class routing across discrete destination microservices.
  3. score (Ordinal / Continuous): Multi-tier risk severity scoring (0–3 scale).

πŸš€ Usage 

from datasets import load_dataset

# Load directly from Hugging Face Hub
dataset = load_dataset("pCwOrM/werr_open_decisions")

# Inspect the first decision
print(dataset["train"][0])

πŸ“Š Dataset Structure

Each JSONL record represents an operational decision event:

  • id: Monotonic event identifier.
  • seed: 24-byte coordinate seed (cx, cy, zoom) on the complex plane $\mathbb{C}$.
  • state_summary: Operational state features (user role, error rates, frequency, telemetry).
  • questions: Array of strongly-typed decision probes (noul, choice, score) with computed confidence and probability distributions.
  • latency_ms: Measured end-to-end evaluation latency on CPU hardware (sub-2ms reflex execution).

πŸ›οΈ Citation 

@article{dagli2026universal,
  title={Universal Fractal Natural Language Decision Map: Real-Time Edge Triage Across Heterogeneous Domains},
  author={Da{\u{g}}l{\i}, Volkan and Da{\u{g}}l{\i}, Zerrin and Da{\u{g}}l{\i}, Da{\u{g}}han},
  journal={arXiv preprint arXiv:2609.25498},
  year={2026},
  url={https://arxiv.org/abs/2609.25498}
}

πŸ“œ License

Licensed under the Business Source License 1.1 (BSL 1.1). Converts to Apache 2.0 on 2030-01-01. Free for academic, educational, and research benchmarking. Corporate Licensor: ITouch Systems (ITouch Bilişim Sistemleri Ltd. Şti., Γ‡ukurova Teknokent). Contact: ask@answerr.me / info@itouch.com.tr.
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