datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BCE-Prettybird-Nano-Themis-v0.1
BCE-Prettybird-Nano-Themis-v0.1 Synthetic Multi- Law Dataset (400 Examples)
BCE-Prettybird-Nano-Themis-v0.1 Synthetic Multi-Law Dataset is a 400-example synthetic dataset developed by Prometech AŞ for experimentation with legal reasoning, instruction following, structured generation, and multi-dimensional response evaluation. Each example combines a task-specific instruction with structured reasoning and quality metadata, including BCE signals, truth and quality values… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Themis-v0.1.BCE-Prettybird-Nano-OWL-v0.1
BCE-Prettybird-Nano-OWL-v0.1 - 630 Translates for Instruction-Based Learning
You can leverage our Hugging Face–ready nano translation dataset, which covers a diverse set of languages including Turkish, English, German, French, Spanish, Italian, Portuguese, Dutch, Russian, Ukrainian, Polish, Czech, Slovak, Hungarian, Romanian, Bulgarian, Greek, Arabic, Persian, Hebrew, Hindi, Bengali, Urdu, Tamil, Telugu, Kannada, Malayalam, Chinese, Japanese, Korean, Indonesian, Malay, Thai… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-OWL-v0.1.BCE-Prettybird-Nano-Hephaistos-v0.1
BCE-Prettybird-Nano-Hephaistos-v0.1 - 1390 Robotics for Instruction-Based Learning
BCE-Prettybird-Nano-Hephaistos-v0.1 – 1390 Robotics for Instruction-Based Learning is a bilingual Turkish–English math, sensor, robotics, and embedded-systems QA dataset designed for instruction-based learning, small language models, edge AI research, and robotics education. The dataset focuses on foundational and applied robotics topics such as linear and circular motion, forward and inverse… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Hephaistos-v0.1.BCE-Prettybird-Nano-Ulgen-v0.1
BCE-Prettybird-Nano-Ulgen-v0.1 Synthetic Multi- Trader Dataset (320 Examples)
BCE-Prettybird-Nano-Ulgen-v0.1 Synthetic Multi-Trader Dataset (320 Examples) is a bilingual Turkish-English synthetic financial reasoning dataset containing 320 instruction-response examples designed for training and evaluating AI systems on investment, portfolio management, corporate finance, risk management, market instruments, valuation, and algorithmic trading tasks. The dataset covers capital… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Ulgen-v0.1.BCE-Prettybird-Nano-Math-v0.1
BCE-Prettybird-Nano-Math-v0.1 - 500 Math Q&A Dataset for Instruction-Based Learning
We are excited to introduce a comprehensive math dataset containing 500 instruction-based question-answer pairs, designed to support research in mathematical reasoning, problem-solving, and AI training. Generated using Python’s math libraries (e.g., math, numpy, sympy), the dataset covers a diverse range of difficulty levels—from basic arithmetic and algebra to advanced calculus, probability, and… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Math-v0.1.BCE-Prettybird-Nano-Parrot-v0.2
BCE-Prettybird-Nano-Parrot-v0.2 - 700 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… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Parrot-v0.2.BCE-Prettybird-Nano-Science-v0.1
BCE-Prettybird-Nano-Science-v0.1 - 500 Science Q&A Dataset for Instruction-Based Learning
We are excited to introduce a comprehensive math-physics-chemistry-biology dataset containing 500 instruction-based question-answer pairs, designed to support research in science reasoning, problem-solving, and AI training. Generated using Python’s math libraries (e.g., math, numpy, sympy), the dataset covers a diverse range of difficulty levels—from basic arithmetic and algebra to advanced… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Science-v0.1.nano-start-data
Nano-Start Learning Dataset
A small educational dataset for learning how to train language models from scratch.
Dataset Description
This dataset contains simple, factual examples designed to demonstrate LLM training concepts:
Completions: Factual statements the model learns to continue
Q&A: Question-answer pairs using chat special tokens
Chat: Multi-turn conversations with system prompts
The dataset is intentionally small (~276 examples) so models can be trained quickly… See the full description on the dataset page: https://huggingface.co/datasets/fs90/nano-start-data.BCE-Prettybird-Nano-Apollo-v0.1
BCE-Prettybird-Nano-Apollo-v0.1 Synthetic Multi-Language Software Engineering & UI/UX Dataset (1,070 Examples)
This dataset contains 1,070 synthetic, high-quality examples covering a broad range of software engineering, architecture, database development, web design, UI/UX design, and design pattern implementations across multiple programming languages and frameworks.
The collection includes:
SOLID principle code examples in PHP, C#, Python, C++, Java, and JavaScript
Design… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Apollo-v0.1.BCE-Prettybird-Nano-Kangal-v0.1
BCE-Prettybird-Nano-Kangal-v0.1 - 525 LOVE Q&A Dataset for Instruction-Based Learning
The "BCE-Prettybird-Nano-Kangal-v0.1: Love Dataset" consists of 525 rows of insightful data, offering a comprehensive exploration of romantic relationships. Covering diverse aspects from sexuality and intimacy to romance, family life management, and tips on how to treat women, this dataset delves into the complexities of modern relationships. It aims to provide valuable perspectives for those… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Kangal-v0.1.BCE-Prettybird-Nano-Kayra-v0.1
BCE-Prettybird-Nano-Kayra-v0.1 - 200 AI Brain Mechanism Chat
Kayra is an experimental 200-sample chat dataset developed by PROMETECH A.Ş. for research on Behavioral Consciousness Engine-style control systems. The dataset was synthetically generated using Nemotron Super and is designed to go beyond standard conversation data by exposing layered behavioral signals such as trust scoring, risk level, ethical guardrails, ego–superego balance, KPI tracking, cognitive-level analysis… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Kayra-v0.1.BCE-Prettybird-Nano-Merkur-v0.1
BCE-Prettybird-Nano-Merkur-v0.1 - 4300 Chatting for Instruction-Based Learning
BCE-Prettybird-Nano-Merkur-v0.1 – This dataset contains 4,300 bilingual Turkish-English conversational dialogue samples designed for training and fine-tuning conversational AI systems, chatbots, and large language models. The dataset includes four carefully curated categories: Flirty General Chat, featuring playful and socially engaging conversations; Polite General Conversation, focused on respectful… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Merkur-v0.1.BCE-Prettybird-Nano-Thoth-v0.1
BCE-Prettybird-Nano-Thoth-v0.1 320 Latex Katex Math Q&A Dataset for Instruction-Based Learning
BCE-Prettybird-Nano-Thoth-v0.1 is a compact KaTeX/LaTeX-oriented BCE dataset released under pthinc/BCE-Prettybird-Nano-Thoth-v0.1, designed to explore how small behavioral-control datasets can teach structured mathematical expression, symbolic formatting, and explanation consistency in LLM workflows. The dataset contains 320 question–answer pairs focused on KaTeX and LaTeX usage, covering… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Thoth-v0.1.NanoKnow_Benchmark
NanoKnow Benchmark
[Paper] [Code]
Pre-built NanoKnow projections of SQuAD and Natural Questions (NQ-Open) onto
karpathy/fineweb-edu-100b-shuffle,
the pre-training corpus used by nanochat.
NanoKnow partitions benchmark questions into:
Supported: at least one answer-bearing pre-training document was verified by an LLM judge.
Unsupported: no answer-bearing pre-training document was verified.
Data summary
Dataset
Questions
Supported
Unsupported
Supported qrels… See the full description on the dataset page: https://huggingface.co/datasets/castorini/NanoKnow_Benchmark.BCE-Prettybird-Nano-Parrot-v0.1
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… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Parrot-v0.1.nemotron-nano-rl-mcqa-19k
Nemotron Nano RL MCQA 19K
Nemotron Nano RL MCQA 19K is a 19,670-example English multiple-choice question answering dataset prepared for reinforcement learning with verifiable rewards (RLVR). Its nano_v3_sft_profiled_stem_mcqa identifier and schema correspond to the knowledge-MCQA component of NVIDIA's Nemotron-3-Nano-RL-Training-Blend, represented here in a compact prompt / label / metadata JSONL format.
Each record contains a formatted user prompt, the correct option identifier… See the full description on the dataset page: https://huggingface.co/datasets/wflying/nemotron-nano-rl-mcqa-19k.BCE-Prettybird-Nano-Apep-v0.1
BCE-Prettybird-Nano-Apep-v0.1 - 1025 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… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/BCE-Prettybird-Nano-Apep-v0.1.ers-bench-nano
ERS-Bench-Nano
A parallel QA dataset designed to evaluate the effects of ERS semantic compression by comparing answer accuracy between natural language source text and its lossy LLM-generated ERS artifact.
Schema
Field
Type
Description
domain
string
Category: code, formal, science, humanities.
sample_id
string
Sample identifier.
source
string
Original natural language text.
ers_artifact
string
ERS notation artifact.
question_id
string
Query identifier.… See the full description on the dataset page: https://huggingface.co/datasets/alxraun/ers-bench-nano.