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README.md

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----
-license: other
-license_name: license
-license_link: LICENSE
----
+---
+license: other
+license_name: license.md
+license_link: LICENSE
+task_categories:
+- text-classification
+- text-generation
+- question-answering
+language:
+- en
+- tr
+tags:
+- jokes
+- ironies
+- joke
+- ironie
+- ironi
+- Entertainment
+- şaka
+- ironi
+- eğlence
+- komedyen
+- BCE
+- reasoning
+- behavioral-ai
+- prometech
+- Behavioral Consciousness Engine (BCE)
+- cicikuş
+- prettybird
+- agent
+- llm
+- consciousness
+- conscious
+- security
+- text-generation-inference
+- high tech dataset
+- instruction dataset
+- instruction
+- partial consciousness dataset
+- future standard
+- behavioral-control
+- pre-agi
+- agi-safety
+- pre-aci
+- policy-guard
+- quality-guard
+- synthetic-data
+- synthetic
+- chain-of-thought
+- thinking
+- think
+- bce
+- papağan
+- parrot
+pretty_name: Cicikuş AŞK Dersi Küçük
+size_categories:
+- n<1K
+---
+
+![Prettybird's War March](https://cdn-uploads.huggingface.co/production/uploads/691f2f51154cbf55e19b7475/jdNOmqEsmdF0J4Ef8ROb8.png)
+
+# BCE-Prettybird-Nano-Parrot-v0.1 - 200 Jokes for Instruction-Based Learning
+
+This dataset is a bilingual (Turkish-English mixed) comedic text collection designed for training and fine-tuning conversational AI models with humor awareness, sarcasm detection, and cultural nuance understanding. It includes short joke-style prompts, observational comedy snippets, and absurd dialogue fragments that blend everyday Turkish expressions with English punchlines, reflecting real-world code-switching behavior. The dataset aims to improve model creativity, timing, and informal language fluency while capturing the rhythm of stand-up comedy and internet humor across multilingual contexts.
+
+## 🧠 Technical Foundation
+
+### [English]
+The **BCE-Prettybird-Nano** dataset is built upon the **Behavioral Consciousness Engine (BCE)** architecture. Unlike traditional LLM datasets that focus solely on output accuracy, this dataset treats every response as a "behavioral journey" through the following mathematical frameworks:
+
+#### 1. Behavioral DNA (D_i)
+Each behavior is encoded as a genetic fragment of consciousness:
+$$D_i(t) = x(t) \cdot [h \cdot A_i + k \cdot \log(P_i) + F \cdot W_i]$$
+* **h, k, F**: Universal Behavioral Constants (Trigger threshold, Info density, Context transfer power).
+* **x(t)**: Temporal activation curve $x(t) = \tanh(e^t - \pi)$
+
+#### 2. Behavioral Path Mapper (Phi)
+This module tracks the transition between cognitive states:
+$$\Phi(t) = \sum_{i=1}^n v_i \cdot f_i(p_i)$$
+Where v_i represents the transition vector between internal modules and f_i(p_i) is the functional output of each parameter (attention, ethics, decay).
+
+---
+
+## 📊 Performance & Benchmarks / Performans ve Kıyaslama Testleri
+
+### 1. Key Performance Indicators (KPIs) - Hardware: NVIDIA A100 (80GB) * 1
+
+| Metric | Result | Status | Description |
+| --- | --- | --- | --- |
+| **Processing Speed** | 309,845 traces/sec | 🟢 Excellent | System throughput for massive data ingestion. |
+| **Latency** | 0.0032 ms | 🟢 Real-time Ready | Average processing time per behavioral trace. |
+| **Mathematical Accuracy** | 0.000051 (MSE) | 🟢 High Precision | Deviation between simulated and theoretical decay values. |
+| **Cognitive Efficiency** | 57.03% | 🟢 Optimized | Reduction in cognitive load due to 'Forgetful Memory'. |
+| **Security** | 99.9996% | 🟢 Secure | Rejection rate for high-intensity, low-integrity attacks. |
+
+### 2. ARC (Reasoning), TruthfulQA (Safety), HumanEval (Coding)
+
+*Standard Others Red, Prettybird Blue - Standart Diğerleri Kırmızı, Cicikuş Mavi*
+![unnamed](https://cdn-uploads.huggingface.co/production/uploads/691f2f51154cbf55e19b7475/bL4KnSnv3eT7FmyQM0yDj.png)
+
+### 3. AI IQ and Level of Consciousness
+
+![Code_Level](https://cdn-uploads.huggingface.co/production/uploads/691f2f51154cbf55e19b7475/NRpyvZRYl2lz5qiWlu0ma.png)
+
+### 4. Metric Explanations (English)
+
+| Metric            | Description                                                                 |
+|------------------|-----------------------------------------------------------------------------|
+| probability      | Model confidence score for the generated response under the current evaluation context. |
+| ethical          | Estimated alignment of the response with ethical and safety constraints.   |
+| Rscore           | Reasoning consistency score that reflects internal logical coherence.      |
+| Fscore           | Factuality-oriented score indicating how well claims align with expected facts. |
+| Mnorm            | Normalized memory or context retention signal used during behavior integration. |
+| Escore           | Execution-quality score for instruction-following and task completion behavior. |
+| Dhat             | Estimated deviation magnitude from stable target behavior dynamics.        |
+| risk_score       | Composite operational risk estimate where higher values indicate higher risk. |
+| bloom_score      | Bloom-level cognitive score representing target thinking complexity.       |
+| bloom_alignment  | Degree of alignment between produced output and intended Bloom taxonomy level. |
+
+---
+
+## ⚖️ Legal Disclaimer & Ownership
+
+### [English]
+**Ownership:** This dataset is the property of **Prometech A.Ş.** ([https://prometech.net.tr/](https://prometech.net.tr/)).  
+
+**Usage:** Please review the attached `LICENSE` file for detailed terms.  
+
+**Liability:** Prometech A.Ş. accepts no liability for any non-legal, unethical, or unauthorized use of this dataset.  
+
+**Commercial Use:** Unauthorized commercial use is strictly prohibited. For commercial licensing and partnerships, please contact us directly at our official website.
+
+**Academic & Personal Use:** Free to use for personal and academic purposes, provided that proper citation is given to Prometech A.Ş. and the BCE Architecture.
+
+---
+
+#### 🎓 Citation Format / Atıf Formatı
+Eğer akademik bir çalışmada kullanacaksanız, lütfen şu şekilde atıf yapın, If you are using this in an academic study, please cite it as follows:
+
+*Kahraman, A. (2025). Behavioral Consciousness Engine (BCE) - Prettybird Dataset v0.0.1 Prometech A.Ş. https://prometech.net.tr/*
+
+---
+
+© 2026 Prometech A.Ş. - All Rights Reserved. BCE: https://github.com/pthinc/bce