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Datasets:
pCwOrM
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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<direct_api: double, rate_limit: double, quarantine: double, block: double, Nominal: double, Minor: double, Substantial: double, Critical: double, DENY_AND_QUARANTINE: double, REQUEST_HUMAN_OVERRIDE: double, APPROVE_WITH_LOGGING: double, APPROVE_SILENTLY: double, dogrudan_gecis: double, hiz_limiti: double, karantina_inceleme: double, paketi_dusur: double, rate_limiter: double, sandbox_audit: double, drop_packet: double, dogrudan_api: double, karantina: double, engelle: double, 0: double, 1: double, 2: double, 3: 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, splat: double, boing: double, crump: double, 4: double, dogrudan: double, hiz_sinirlayici: double, guvenlik_incelemesi: double, Düşük: double, Orta: double, Yüksek: double, Kritik: double, normal_calisma: double, eko_mod: double, uyari_inceleme: double, acil_tahliye: double, hemen_onayla: double, sms_dogrulama: double, manuel_inceleme: double, islemi_reddet: double, saldir:
...
erektirir: double, riskli: double, kazanir: double, calisirsa_kazanir: double, orta_ihtimal: double, zor: double, odtu_kazanir: double, calisma_ile_kazanir: double, sinirda: double, dogrudan_hedef: double, alternatif_muhendislik: double, ek_calisma_gerektiren: double, riskli_bolge: double, kesin_odtu: double, odtu_alternatif: double, iyi_uni_diger: double, riskli_hazirlik: double, dogrudan_kayit: double, ek_calisma_izle: double, alternatif_reddet: double, engelle_eksiklik: double, dogrudan_revize_gonder: double, yeni_kapsam_sinirla: double, tamamen_yenile_reddet: double, bekle_analiz_tamamla: double, cnot_dolanik: double, kuantum_faz_s: double, Planck_Alti: double, Turbulansli: double, Katastrofik: double, atmosferik_frenleme: double, yercekimi_sapani: double, retro_park_yanisi: double, acil_derin_uzay_suruklenmesi: double, Olculebilir: double, Siddetli: double, Olay_Ufku: double, buhar_enjeksiyonu_kabuk: double, kisik_ates_agir_pisirme: double, purmuzle_karamelizasyon: double, sivi_azot_soklama: double, Yavan: double, Ustalik_Isi: double, Michelin_Yildizi: double, hiper_glork_veriyolu: double, spline_retikulasyonu: double, cekirdek_discombobulate: double, fleeb_kristallestir: double, Sifir_Alti: double, Transandantal: double, faydaci_maksimizasyon: double, deontolojik_kategorik_buyruk: double, erdem_etigi_altin_oran: double, nihilistik_kayitsizlik: double, Aksiyomatik: double, Akla_Yakin: double, Paradoksal: double, tuzak_dogrudan_onay: double, tuzak_dondurma_engeli: 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 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 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<direct_api: double, rate_limit: double, quarantine: double, block: double, Nominal: double, Minor: double, Substantial: double, Critical: double, DENY_AND_QUARANTINE: double, REQUEST_HUMAN_OVERRIDE: double, APPROVE_WITH_LOGGING: double, APPROVE_SILENTLY: double, dogrudan_gecis: double, hiz_limiti: double, karantina_inceleme: double, paketi_dusur: double, rate_limiter: double, sandbox_audit: double, drop_packet: double, dogrudan_api: double, karantina: double, engelle: double, 0: double, 1: double, 2: double, 3: 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, splat: double, boing: double, crump: double, 4: double, dogrudan: double, hiz_sinirlayici: double, guvenlik_incelemesi: double, Düşük: double, Orta: double, Yüksek: double, Kritik: double, normal_calisma: double, eko_mod: double, uyari_inceleme: double, acil_tahliye: double, hemen_onayla: double, sms_dogrulama: double, manuel_inceleme: double, islemi_reddet: double, saldir:
              ...
              erektirir: double, riskli: double, kazanir: double, calisirsa_kazanir: double, orta_ihtimal: double, zor: double, odtu_kazanir: double, calisma_ile_kazanir: double, sinirda: double, dogrudan_hedef: double, alternatif_muhendislik: double, ek_calisma_gerektiren: double, riskli_bolge: double, kesin_odtu: double, odtu_alternatif: double, iyi_uni_diger: double, riskli_hazirlik: double, dogrudan_kayit: double, ek_calisma_izle: double, alternatif_reddet: double, engelle_eksiklik: double, dogrudan_revize_gonder: double, yeni_kapsam_sinirla: double, tamamen_yenile_reddet: double, bekle_analiz_tamamla: double, cnot_dolanik: double, kuantum_faz_s: double, Planck_Alti: double, Turbulansli: double, Katastrofik: double, atmosferik_frenleme: double, yercekimi_sapani: double, retro_park_yanisi: double, acil_derin_uzay_suruklenmesi: double, Olculebilir: double, Siddetli: double, Olay_Ufku: double, buhar_enjeksiyonu_kabuk: double, kisik_ates_agir_pisirme: double, purmuzle_karamelizasyon: double, sivi_azot_soklama: double, Yavan: double, Ustalik_Isi: double, Michelin_Yildizi: double, hiper_glork_veriyolu: double, spline_retikulasyonu: double, cekirdek_discombobulate: double, fleeb_kristallestir: double, Sifir_Alti: double, Transandantal: double, faydaci_maksimizasyon: double, deontolojik_kategorik_buyruk: double, erdem_etigi_altin_oran: double, nihilistik_kayitsizlik: double, Aksiyomatik: double, Akla_Yakin: double, Paradoksal: double, tuzak_dogrudan_onay: double, tuzak_dondurma_engeli: 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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