size_categories:1K<n<10K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars library:distilabel arxiv:2310.01377 region:us synthetic distilabel rlaif
---
size_categories: n<1K
dataset_info:
  features:
  - name: system
    dtype: string
  - name: prompt
    dtype: string
  - name: response
    dtype: string
  - name: generations
    sequence: string
  - name: ratings
    sequence: int64
  - name: rationales
    sequence: string
  - name: distilabel_metadata
    struct:
    - name: raw_input_ultra_feedback_0
      list:
      - name: content
        dtype: string
      - name: role
        dtype: string
    - name: raw_output_ultra_feedback_0
      dtype: string
  - name: model_name
    dtype: string
  splits:
  - name: train
    num_bytes: 10742039
    num_examples: 1000
  download_size: 4165232
  dataset_size: 10742039
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
---

<p align="left">
  <a href="https://github.com/argilla-io/distilabel">
    <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
  </a>
</p>

# Dataset Card for reflection-v1-gpt-4o-judge

This dataset has been created with [distilabel](https://distilabel.argilla.io/).



## Dataset Summary

This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI:

```console
distilabel pipeline run --config "https://huggingface.co/datasets/dvilasuero/reflection-v1-gpt-4o-judge/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/dvilasuero/reflection-v1-gpt-4o-judge/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


<details><summary> Configuration: default </summary><hr>

```json
{
    "distilabel_metadata": {
        "raw_input_ultra_feedback_0": [
            {
                "content": "Your role is to evaluate text quality based on given criteria.\nYou\u0027ll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
                "role": "system"
            },
            {
                "content": "# General Text Quality Assessment\n\nEvaluate the model\u0027s outputs based on various criteria:\n\n1. **Correctness \u0026 Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty \u0026 Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness \u0026 Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model\u0027s output align with given instructions and the user\u0027s intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n\u003ctext 1\u003e [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: I have recently learned about device drivers and interrupt service routines in programming. I understand that they are programs or codes that are executed when needed. However, since execution refers to the CPU executing instructions from its instruction set, does it mean that device drivers and ISRs are also machine instructions that generate the desired result? \n\nI am currently learning x86 assembly language and C. Can you provide more information about what these programs, such as device drivers and interrupt routines, are made up of? Do they also have a data segment, code segment, and stack segment?\n\nTexts:\n\u003ctext 1\u003e Device drivers and Interrupt Service Routines (ISRs) are programs that are executed when needed, but they are not machine instructions themselves. Instead, they are composed of machine instructions that the CPU executes.\n\nDevice drivers are software components that act as a bridge between the operating system and hardware devices, allowing the OS to communicate with and control various hardware components. They are typically written in C, with some performance-critical or hardware-specific parts written in assembly language.\n\nISRs are specific functions designed to handle hardware or software interrupts quickly and efficiently. They are often written in assembly language for speed and direct hardware access.\n\nBoth device drivers and ISRs, when compiled or assembled, result in machine code that consists of instructions from the CPU\u0027s instruction set. This is what allows the CPU to execute them.\n\nRegarding the structure of these programs, they do have similarities to other programs you might write in C or assembly. They typically have a code section (also called text section) where the executable instructions are stored, and a data section for storing variables and constants. They may also use the stack for temporary storage and function calls.\n\nHowever, it\u0027s important to note that in modern operating systems, memory management is more complex than the simple segmentation model (code, data, stack segments) you might encounter in basic assembly programming. Device drivers and ISRs often operate in kernel space, which has different memory management rules compared to user space programs.\n\nIn x86 assembly and C programming, you\u0027re likely dealing with user-space applications, which have a more straightforward segmentation model. Kernel-space programming, where device drivers and ISRs typically reside, involves more complex memory management and protection mechanisms.\n\nTo sum up, while device drivers and ISRs are not machine instructions themselves, they are composed of machine instructions that the CPU executes. They share some structural similarities with user-space programs but operate under different rules due to their privileged nature in the system.\n\n### Output\n",
                "role": "user"
            }
        ],
        "raw_output_ultra_feedback_0": "#### Output for Text 1\nRating: 5\nRationale: The text provides accurate and helpful information about device drivers and interrupt service routines, effectively addressing the instruction\u0027s queries about their composition and execution. It explains the relationship between these components and machine instructions, along with details about their typical programming languages and execution environments. The text also clearly distinguishes between user-space and kernel-space programs, which is relevant to the instruction\u0027s focus on x86 assembly and C. There is no evidence of hallucination, and the explanation properly conveys confidence and understanding without overstepping into uncertain territory. Overall, the response is informative, honest, and well"
    },
    "generations": [
        "Device drivers and Interrupt Service Routines (ISRs) are programs that are executed when needed, but they are not machine instructions themselves. Instead, they are composed of machine instructions that the CPU executes.\n\nDevice drivers are software components that act as a bridge between the operating system and hardware devices, allowing the OS to communicate with and control various hardware components. They are typically written in C, with some performance-critical or hardware-specific parts written in assembly language.\n\nISRs are specific functions designed to handle hardware or software interrupts quickly and efficiently. They are often written in assembly language for speed and direct hardware access.\n\nBoth device drivers and ISRs, when compiled or assembled, result in machine code that consists of instructions from the CPU\u0027s instruction set. This is what allows the CPU to execute them.\n\nRegarding the structure of these programs, they do have similarities to other programs you might write in C or assembly. They typically have a code section (also called text section) where the executable instructions are stored, and a data section for storing variables and constants. They may also use the stack for temporary storage and function calls.\n\nHowever, it\u0027s important to note that in modern operating systems, memory management is more complex than the simple segmentation model (code, data, stack segments) you might encounter in basic assembly programming. Device drivers and ISRs often operate in kernel space, which has different memory management rules compared to user space programs.\n\nIn x86 assembly and C programming, you\u0027re likely dealing with user-space applications, which have a more straightforward segmentation model. Kernel-space programming, where device drivers and ISRs typically reside, involves more complex memory management and protection mechanisms.\n\nTo sum up, while device drivers and ISRs are not machine instructions themselves, they are composed of machine instructions that the CPU executes. They share some structural similarities with user-space programs but operate under different rules due to their privileged nature in the system."
    ],
    "model_name": "gpt-4o",
    "prompt": "I have recently learned about device drivers and interrupt service routines in programming. I understand that they are programs or codes that are executed when needed. However, since execution refers to the CPU executing instructions from its instruction set, does it mean that device drivers and ISRs are also machine instructions that generate the desired result? \n\nI am currently learning x86 assembly language and C. Can you provide more information about what these programs, such as device drivers and interrupt routines, are made up of? Do they also have a data segment, code segment, and stack segment?",
    "ratings": [
        5
    ],
    "rationales": [
        "The text provides accurate and helpful information about device drivers and interrupt service routines, effectively addressing the instruction\u0027s queries about their composition and execution. It explains the relationship between these components and machine instructions, along with details about their typical programming languages and execution environments. The text also clearly distinguishes between user-space and kernel-space programs, which is relevant to the instruction\u0027s focus on x86 assembly and C. There is no evidence of hallucination, and the explanation properly conveys confidence and understanding without overstepping into uncertain territory. Overall, the response is informative, honest, and well"
    ],
    "response": "\u003cthinking\u003e\nTo answer this question, I\u0027ll break it down into several parts:\n\n1. Understand the nature of device drivers and ISRs\n2. Explain how they relate to CPU execution\n3. Describe the composition of device drivers and ISRs\n4. Address the question about segments\n\nLet\u0027s go through each step:\n\n1. Device drivers and ISRs:\n   - Device drivers are hardware components that allow the operating system to communicate with software devices. \u003creflection\u003eI made a mistake here. Device drivers are actually software components, not hardware components. They allow the operating system to communicate with hardware devices, not software devices.\u003c/reflection\u003e\n   - Interrupt Service Routines (ISRs) are specific functions that handle hardware or software interrupts.\n\n2. Relation to CPU execution:\n   - Device drivers and ISRs are machine instructions themselves, directly executable by the CPU. \u003creflection\u003eThis is incorrect. Device drivers and ISRs are not machine instructions themselves. They are programs written in high-level languages or assembly language, which are then compiled or assembled into machine code that the CPU can execute.\u003c/reflection\u003e\n\n3. Composition of device drivers and ISRs:\n   - Device drivers are typically written in assembly language for maximum performance.\n   - ISRs are often written in high-level languages like C++ for ease of development.\n   \u003creflection\u003eI made mistakes in both of these statements. Device drivers are typically written in C, with some low-level parts in assembly. ISRs, on the other hand, are often written in assembly language for speed and direct hardware access.\u003c/reflection\u003e\n\n4. Segments in device drivers and ISRs:\n   - In modern operating systems, device drivers and ISRs do not use the concept of segments (data, code, stack).\n   \u003creflection\u003eThis is not entirely correct. While modern operating systems handle memory differently than the traditional segmentation model, device drivers and ISRs do have code (text) sections and data sections. They may also use the stack, although stack management might be handled differently depending on the context (kernel space vs. user space).\u003c/reflection\u003e\n\n\u003c/thinking\u003e\n\n\u003coutput\u003e\nDevice drivers and Interrupt Service Routines (ISRs) are programs that are executed when needed, but they are not machine instructions themselves. Instead, they are composed of machine instructions that the CPU executes.\n\nDevice drivers are software components that act as a bridge between the operating system and hardware devices, allowing the OS to communicate with and control various hardware components. They are typically written in C, with some performance-critical or hardware-specific parts written in assembly language.\n\nISRs are specific functions designed to handle hardware or software interrupts quickly and efficiently. They are often written in assembly language for speed and direct hardware access.\n\nBoth device drivers and ISRs, when compiled or assembled, result in machine code that consists of instructions from the CPU\u0027s instruction set. This is what allows the CPU to execute them.\n\nRegarding the structure of these programs, they do have similarities to other programs you might write in C or assembly. They typically have a code section (also called text section) where the executable instructions are stored, and a data section for storing variables and constants. They may also use the stack for temporary storage and function calls.\n\nHowever, it\u0027s important to note that in modern operating systems, memory management is more complex than the simple segmentation model (code, data, stack segments) you might encounter in basic assembly programming. Device drivers and ISRs often operate in kernel space, which has different memory management rules compared to user space programs.\n\nIn x86 assembly and C programming, you\u0027re likely dealing with user-space applications, which have a more straightforward segmentation model. Kernel-space programming, where device drivers and ISRs typically reside, involves more complex memory management and protection mechanisms.\n\nTo sum up, while device drivers and ISRs are not machine instructions themselves, they are composed of machine instructions that the CPU executes. They share some structural similarities with user-space programs but operate under different rules due to their privileged nature in the system.\n\u003c/output\u003e",
    "system": "You are a world-class AI system capable of complex reasoning and reflection. You respond to all questions in the following way-\n\u003cthinking\u003e\nIn this section you understand the problem and develop a plan to solve the problem.\n\nFor easy problems-\nMake a simple plan and use COT\n\nFor moderate to hard problems-\n1. Devise a step-by-step plan to solve the problem. (don\u0027t actually start solving yet, just make a plan)\n2. Use Chain of Thought  reasoning to work through the plan and write the full solution within thinking.\n\nYou can use \u003creflection\u003e \u003c/reflection\u003e tags whenever you execute a complex step to verify if your reasoning is correct and if not correct it.\n\n\n\u003c/thinking\u003e\n\n\u003coutput\u003e\nIn this section, provide the complete answer for the user based on your thinking process. Do not refer to the thinking tag. Include all relevant information and keep the response somewhat verbose, the user will not see what is in the thinking tag.\n\u003c/output\u003e"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("dvilasuero/reflection-v1-gpt-4o-judge", "default")
```

Or simply as it follows, since there's only one configuration and is named `default`: 

```python
from datasets import load_dataset

ds = load_dataset("dvilasuero/reflection-v1-gpt-4o-judge")
```


</details>





## References


```
@misc{cui2024ultrafeedbackboostinglanguagemodels,
    title={UltraFeedback: Boosting Language Models with Scaled AI Feedback},
    author={Ganqu Cui and Lifan Yuan and Ning Ding and Guanming Yao and Bingxiang He and Wei Zhu and Yuan Ni and Guotong Xie and Ruobing Xie and Yankai Lin and Zhiyuan Liu and Maosong Sun},
    year={2024},
    eprint={2310.01377},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2310.01377},
}
```


