Upload r1_responses_cleaned.csv

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license: apache-2.0
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# MasterControl AIML Team 🚀

## Overview
The **MasterControl AIML team** supports the **Hugging Face** initiative of re-creating **DeepSeek R1 training**, recognizing it as one of the most **impactful open-source projects** today.

We aim to contribute to **reasoning datasets**, specifically those where:
- A **real-world problem** involves **generating complex structured output**
- It is accompanied by **step-by-step reasoning and unstructured input**

## Challenges in Integrating Generative AI into Systems of Record (SoR)
Integrating **Generative AI** into **Systems of Record (SoR)** for **health, life sciences, and manufacturing quality** is challenging due to:
- These systems rely on **strictly structured data formats** (e.g., **JSON, XML, templates**).
- **LLM outputs** are **unstructured** and do not conform to **regular expressions** or **context-free grammars**.

## Techniques for Structured Output Generation
To enforce structured output generation, we explore:
- **Strict schema prompting**
- **Post-processing and output validation**
- **Reformulating text generation** into transitions between **finite-state machine states**

## DeepSeek R1 Approach
A key challenge is **fitting hybrid structured and unstructured historical manufacturing production records** to **master templates**.
We aim to leverage the **DeepSeek R1 model**, which uses:
- **Pure reinforcement learning** to train a **base language model**
- Learning to **reason without human supervision**

## Model Used
- We used deepseek's distilled 7b to created reasoning responses to go from unstructured to structured

## Purpose of Reasoning Responses
- The reasoning responses are created in such a way, that if the model is presented with unstructured text and a schema of rules, it needs to convert it into a structured schema. These responses can be used for any unstructured to structured creation.

## Next Step: Reasoning Data
Our **first step** is curating and contributing to **reasoning datasets** that facilitate structured output generation.


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