Dataset Card for uplimit-synthetic-data-week-1-with-evol

This dataset has been created with distilabel.

The pipeline script was uploaded to easily reproduce the dataset: colab_kernel_launcher.py.

It can be run directly using the CLI:

distilabel pipeline run --script "https://huggingface.co/datasets/ndhananj/uplimit-synthetic-data-week-1-with-evol/raw/main/colab_kernel_launcher.py"

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:

distilabel pipeline run --config "https://huggingface.co/datasets/ndhananj/uplimit-synthetic-data-week-1-with-evol/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/ndhananj/uplimit-synthetic-data-week-1-with-evol/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

---

{
    "cluster_label": 1,
    "distilabel_metadata": {
        "statistics_instruction_evol_instruct_0": {
            "input_tokens": [
                385,
                380,
                383,
                373,
                381,
                371,
                372,
                367,
                289,
                371,
                380,
                359,
                372,
                253,
                366,
                364,
                366,
                381,
                382,
                353,
                380,
                379,
                385,
                371,
                385,
                283,
                385,
                373,
                381,
                381,
                371,
                371,
                371,
                289,
                366,
                379,
                274,
                385,
                379,
                289,
                290,
                380,
                372,
                381,
                386,
                361,
                290,
                353,
                280,
                386
            ],
            "output_tokens": [
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                100,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                113,
                128,
                128,
                128,
                14,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128,
                128
            ]
        }
    },
    "embedding": [
        0.022470641881227493,
        -0.017901265993714333,
        -0.011149224825203419,
        -0.009838403202593327,
        0.06471165269613266,
        0.0012222680961713195,
        -0.008083968423306942,
        0.010446570813655853,
        0.027933161705732346,
        -0.003492367221042514,
        "... (truncated - showing 10 of 1024 elements)"
    ],
    "evolved_instruction": "What were the key socio-economic and technological factors that contributed to Cincinnati\u0027s transformation into a major banking hub between 1820 and 1880, and how did this impact the local economy and its subsequent effects on the development of public art and the mid-19th century American art movement? Analyze the roles and contributions of prominent female artists from the Midwest to this movement, emphasizing their experiences, perspectives, and potential influences from the city\u0027s emerging industrial and mercantile sectors. \n\nExamine how the Cincinnati Riverfront\u0027s historic significance played out in the development of its murals, sculptures, and other public art projects, and how prominent",
    "id": "\u003curn:uuid:ab0a5c2f-e34c-4781-8bf8-6a3d1fd82649\u003e",
    "instructions": [
        "What are the key factors that contributed to the rise of Cincinnati as a major banking center in the 19th century, and how did this impact the local art scene?",
        "Detail the roles and contributions of significant female artists from the Midwest to the American art movement of the 1890s, focusing on their experiences and perspectives.",
        "How did the historic significance of the Cincinnati Riverfront influence the development of its public art, including murals and sculptures, and what role did prominent artists play in its creation?",
        "Describe the evolution of art education in Cincinnati\u0027s public schools from the early 20th century to the present day, highlighting notable art programs,"
    ],
    "instructions_str": "What are the key factors that contributed to the rise of Cincinnati as a major banking center in the 19th century, and how did this impact the local art scene? Detail the roles and contributions of significant female artists from the Midwest to the American art movement of the 1890s, focusing on their experiences and perspectives. How did the historic significance of the Cincinnati Riverfront influence the development of its public art, including murals and sculptures, and what role did prominent artists play in its creation? Describe the evolution of art education in Cincinnati\u0027s public schools from the early 20th century to the present day, highlighting notable art programs,",
    "model_name": "https://api-inference.huggingface.co/models/meta-llama/Llama-3.2-3B-Instruct",
    "model_name_embeddings": "Alibaba-NLP/gte-large-en-v1.5",
    "nn_indices": [
        15125,
        37073,
        71970,
        26917,
        4480,
        69453,
        71903,
        9411,
        39149,
        59512,
        "... (truncated - showing 10 of 20 elements)"
    ],
    "nn_scores": [
        0.8340727686882019,
        0.8202860355377197,
        0.8056823015213013,
        0.8035473227500916,
        0.7944107055664062,
        0.7865492105484009,
        0.7834657430648804,
        0.7777583599090576,
        0.7766708135604858,
        0.7716180682182312,
        "... (truncated - showing 10 of 20 elements)"
    ],
    "persona": "A local art historian and museum professional interested in 19th-century American art and the local cultural heritage of Cincinnati.",
    "projection": [
        4.902285575866699,
        1.8720051050186157
    ],
    "summary_label": "[\"Education\", \"Academia\", \"Specialized Expertise\"]"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("ndhananj/uplimit-synthetic-data-week-1-with-evol", "default")

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

from datasets import load_dataset

ds = load_dataset("ndhananj/uplimit-synthetic-data-week-1-with-evol")

References

@misc{wang2023selfinstructaligninglanguagemodels,
    title={Self-Instruct: Aligning Language Models with Self-Generated Instructions},
    author={Yizhong Wang and Yeganeh Kordi and Swaroop Mishra and Alisa Liu and Noah A. Smith and Daniel Khashabi and Hannaneh Hajishirzi},
    year={2023},
    eprint={2212.10560},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2212.10560},
}

@misc{xu2023wizardlmempoweringlargelanguage,
    title={WizardLM: Empowering Large Language Models to Follow Complex Instructions},
    author={Can Xu and Qingfeng Sun and Kai Zheng and Xiubo Geng and Pu Zhao and Jiazhan Feng and Chongyang Tao and Daxin Jiang},
    year={2023},
    eprint={2304.12244},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2304.12244},
}