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README.md

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 ---
+pretty_name: NotSoTiny (NST-26-07)
+annotations_creators:
+- expert-generated
+- machine-generated
+language:
+- en
+- code
 license: apache-2.0
+task_categories:
+- text-generation
+- fill-mask
+tags:
+- verilog
+- hardware-design
+- code-generation
+- llm-evaluation
+size_categories:
+- 1K<n<10K
+source_datasets:
+- tiny-tapeout
 ---
+
+<h1 align="center">NotSoTiny: A Large, Living Benchmark for RTL Code Generation</h1>
+
+<hr style="margin: 15px">
+
+<div align="center" style="line-height: 1;">
+  <a href="https://razinemg.github.io/notsotiny-website" target="_blank" style="margin: 1px;">
+    <img alt="Benchmark Website" src="https://img.shields.io/badge/Website-NotSoTiny-8A2BE2" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://hpai.bsc.es/" target="_blank" style="margin: 1px;">
+    <img alt="HPAI Web" src="https://img.shields.io/badge/HPAI-BSC-4169E1" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://huggingface.co/HPAI-BSC" target="_blank" style="margin: 1px;">
+    <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-HPAI-ffc107?color=ffc107&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://github.com/HPAI-BSC" target="_blank" style="margin: 1px;">
+    <img alt="GitHub" src="https://img.shields.io/badge/GitHub-HPAI-%23121011.svg?logo=github&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+</div>
+
+<div align="center" style="line-height: 1;">
+  <a href="https://www.linkedin.com/company/hpai" target="_blank" style="margin: 1px;">
+    <img alt="Linkedin" src="https://img.shields.io/badge/Linkedin-HPAI-blue" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://bsky.app/profile/hpai.bsky.social" target="_blank" style="margin: 1px;">
+    <img alt="BlueSky" src="https://img.shields.io/badge/Bluesky-HPAI-0285FF?logo=bluesky&logoColor=fff" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://linktr.ee/hpai_bsc" target="_blank" style="margin: 1px;">
+    <img alt="LinkTree" src="https://img.shields.io/badge/Linktree-HPAI-43E55E?style=flat&logo=linktree&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+</div>
+
+<div align="center" style="line-height: 1;">
+  <a href="https://arxiv.org/abs/2512.20823" target="_blank" style="margin: 1px;">
+    <img
+      alt="arXiv"
+      src="https://img.shields.io/badge/arXiv-2512.20823-b31b1b.svg"
+      style="display: inline-block; vertical-align: middle;"
+    />
+  </a>
+  <a href="https://www.apache.org/licenses/LICENSE-2.0" style="margin: 1px;">
+    <img
+      alt="Apache License 2.0"
+      src="https://img.shields.io/badge/License-Apache%202.0-blue.svg"
+      style="display: inline-block; vertical-align: middle;"
+    />
+  </a>
+</div>
+
+# Table of Contents
+- [Summary](#summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Data Processing](#data-processing)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+- [Additional Information](#additional-information)
+  - [License](#license)
+  - [Citation Information](#citation-information)
+  - [Acknowledgements](#acknowledgements)
+
+# Summary
+
+**NotSoTiny** is a large, structurally rich, and "living" benchmark designed to assess Large Language Models (LLMs) on the generation of context-aware RTL (Register-Transfer Level) code. Built from hundreds of real hardware designs produced by the [**Tiny Tapeout**](https://tinytapeout.com) community, this benchmark overcomes the limitations of prior static datasets by periodically incorporating new designs, making it resilient to data contamination.
+
+As part of the NotSoTiny benchmark's commitment to continuous updates, **the dataset is refreshed every 6 months** as new Tiny Tapeout shuttles become available.
+
+🌐 **Official Portal & Leaderboard:** NotSoTiny now features a dedicated [**Benchmark Website**](https://razinemg.github.io/notsotiny-website) to stay up to date with news, new dataset version releases, and model leaderboards alongside the main TuRTLe portal.
+
+This repository contains the **NST-26-07** release, which is the latest version of the benchmark dataset containing **1,146 deduplicated and curated tasks** derived from real, taped-out hardware designs across 9 recent Tiny Tapeout shuttles:
+* `ttgf0p3`
+* `ttgf26b`
+* `ttgf26a`
+* `ttsky26b`
+* `ttsky26a`
+* `ttihp0p4`
+* `ttihp26a`
+* `ttgf0p2`
+* `ttsky25b`
+
+> **Note on Previous Releases:** If you are looking for the earlier baseline version of the benchmark, you can access the [NotSoTiny-25-12 release on Hugging Face](https://huggingface.co/datasets/HPAI-BSC/NotSoTiny-25-12).
+
+Unlike previous benchmarks which rely on standalone modules or explicit specifications, NotSoTiny focuses on **contextual module completion**. In this setup, models are presented with a full design context, where one module is masked. The LLM must infer the missing module's functionality and interface solely from the surrounding implementation, mirroring real-world development scenarios where new components must integrate into existing systems.
+
+## Supported Tasks and Leaderboards
+* **Task:** `module-completion` (Hardware (Verilog) Code Completion).
+* **Leaderboard:** Solutions are evaluated using syntax checks and functional correctness through **Formal Equivalence Checking** (via Yosys). You can check leaderboards and evaluation updates directly on the [**NotSoTiny Website**](https://razinemg.github.io/notsotiny-website) or via the [**TuRTLe**](https://huggingface.co/spaces/HPAI-BSC/TuRTLe-Leaderboard) Leaderboard space.
+
+## Languages
+The dataset contains:
+* **Verilog** (for hardware designs, prompts, and golden modules).
+* **English** (for system messages and metadata).
+
+# Dataset Structure
+
+## Data Instances
+Each row in the dataset represents a single module completion task. The model is given a `system_message` and a `prompt` (containing the context file `task.v`), and is expected to generate the missing Verilog code that matches the functionality of the `golden_module`.
+
+## Data Fields
+* **`task_id`** (string): A unique identifier for the task, formatted as `<shuttle_name>_<incremental_number>`.
+* **`shuttle_name`** (string): The identifier of the Tiny Tapeout shuttle from which the design originated (e.g., ttgf0p3, ttsky26c).
+* **`project_name`** (string): The name of the original Tiny Tapeout project containing the task.
+* **`task_name`** (string): The name of the task directory, corresponding to the specific design module being tested.
+* **`system_message`** (string): A unified system prompt (same for all tasks) used to instruct the LLM.
+* **`prompt`** (string): The content of `task.v`. This contains the surrounding design context with the target module missing, serving as the input for the LLM.
+* **`golden_module`** (string): The content of `original_module.v`. This is the ground truth implementation of the masked module, used for formal verification.
+
+## Data Splits
+The **NST-26-07** release consists of a single split containing **1,146 validated tasks** derived from 9 Tiny Tapeout shuttles (`ttsky26c`, `ttgf0p3`, `ttgf26b`, `ttgf26a`, `ttsky26b`, `ttsky26a`, `ttihp0p4`, `ttihp26a`, `ttgf0p2`, and `ttsky25b`).
+
+# Dataset Creation
+
+## Curation Rationale
+Current RTL benchmarks suffer from insufficient scale, shallow verification protocols, and a high risk of training data contamination. NotSoTiny was created to address these issues by:
+1. **Scale & Complexity:** Providing tasks with deeper hierarchies and complex control/datapath interactions typical of real hardware.
+2. **Living Nature:** Utilizing the continuous release schedule of Tiny Tapeout shuttles to constantly refresh the benchmark every 6 months, keeping it ahead of LLM training data.
+3. **Rigorous Verification:** Using formal equivalence checking to ensure functional correctness, as simulation testbenches were found to have low coverage.
+
+## Source Data
+The designs are sourced from the **Tiny Tapeout** project repositories on GitHub. These are open-source digital, mixed-signal, and analog circuits submitted by researchers and engineers for fabrication.
+
+## Data Processing
+The dataset construction pipeline follows these steps:
+1. **Filtering:** Projects are filtered to ensure they contain valid `src/` and `test/` directories, a `Makefile`, and a valid `info.yaml`.
+2. **Module Aggregation:** The `vppreproc` tool is used to merge project files into a single self-contained Verilog file, preserving internal hierarchies.
+3. **Task Building:** Each aggregated design is decomposed into multiple tasks. For each task, the body of one module is removed (to be generated), while the remaining modules serve as context.
+4. **Temporal Deduplication:** To prevent data leakage and redundancy, designs are deduplicated across shuttles using MinHash and Locality-Sensitive Hashing (LSH). If duplicates exist, only the version from the oldest shuttle is retained.
+5. **Self-Verification:** A final validation step ensures compatibility by verifying the golden solution against itself using the general Yosys formal verification script. Only tasks that pass this check are included.
+
+# Considerations for Using the Data
+
+To use this dataset for benchmarking, it is highly recommended to integrate with the [**TuRTLe framework**](https://github.com/HPAI-BSC/TuRTLe). TuRTLe is a unified evaluation framework designed to automate the entire benchmarking pipeline for RTL generation.
+
+Specifically, the framework handles:
+* **Model Serving:** It manages model interactions and generation requests.
+* **Processing & Verification:** It executes all necessary processing steps, from initial syntax validation to rigorous **Formal Equivalence Checking** (using Yosys) against the `golden_module`.
+* **Final Reporting:** It calculates and outputs the final performance results using standardized metrics.
+
+Follow the latest updates on model evaluations and benchmarking news at [**razinemg.github.io/notsotiny-website**](https://razinemg.github.io/notsotiny-website).
+
+# Additional Information
+
+## License
+The dataset is released under the Apache License 2.0.
+
+## Citation Information
+```bibtex
+@misc{ghorab2025notsotinylargelivingbenchmark,
+      title={NotSoTiny: A Large, Living Benchmark for RTL Code Generation}, 
+      author={Razine Moundir Ghorab and Emanuele Parisi and Cristian Gutierrez-Gomez and Miquel Albert\'i-Binimelis and Miquel Moreto and Dario Garcia-Gasulla and Gokcen Kestor},
+      year={2025},
+      eprint={2512.20823},
+      archivePrefix={arXiv},
+      primaryClass={cs.AR},
+      url={[https://arxiv.org/abs/2512.20823](https://arxiv.org/abs/2512.20823)}, 
+}