use the following text: ""The research paper explores the challenges faced by value investors in today's economic landscape, characterized by the rise of intangible assets. It attributes the recent struggles of value investing strategies to the increasing dominance of intangibles, which are not adequately captured by traditional measures of tangible value.

The paper provides a comprehensive analysis of the shift from tangible to intangible value. It delves into the historical evolution of value investing, acknowledging the contributions of Ben Graham, whose principles were established during the industrial age. The authors emphasize that the economy has transformed into an information-based system, where firms derive their value primarily from intangible assets rather than physical assets.

To address this issue, the paper proposes a new framework for calculating intrinsic value that accounts for both tangible and intangible assets. It recognizes that measuring intangibles is complex due to the limitations of standardized accounting practices. Therefore, the authors advocate for the use of alternative data and machine learning techniques to quantify these intangibles effectively.

The development of an Intangible Value measure is a key contribution of the paper. This measure aims to capture the combined value of various intangible assets, such as intellectual property, human capital, brand equity, and network effects. The authors explain the process of creating this measure, which involves clustering analysis and topic modeling of their previous research work.

Using this Intangible Value metric alongside traditional tangible value metrics, the authors backtest investment strategies and portfolios. They demonstrate that incorporating intangible value enhances the performance of value investing, outpacing strategies that rely solely on tangible value. The paper also presents a visual decomposition of the balance sheets of prominent companies, illustrating the significance of intangible assets.

In addition to the practical implications, the paper discusses the philosophical aspects of value and growth investing. It critiques the rigid style box framework that categorizes investments as either value or growth, suggesting that this binary classification is outdated and restrictive. The authors align with Warren Buffett's perspective, emphasizing that growth is an essential component of value and that a dynamic approach is needed to adapt to changing market opportunities.

The paper concludes by emphasizing the need for value investing to evolve. It advocates for a more inclusive definition of intrinsic value that unites the value and growth investing communities. By embracing the reality of the intangibles-driven economy and leveraging new data and technologies, the authors believe that value investing can regain its prominence.

This expanded summary captures the key points of the research paper, including its analysis of the evolving economic landscape, the proposed framework for measuring intangible value, and the potential for a more holistic approach to investing that transcends traditional style boxes.""

to change the examples in this dataset:

kto_dataset_list = [
    {“prompt”: “Hey, hello”, “completion”: “hi nice to meet you”, “label”: true},
    {“prompt”: “How are you”, “completion”: “leave me alone”, “label”: false},
    {“prompt”: “What is your name?”, “completion”: “I don’t have a name”, “label”: false},
    {“prompt”: “What is your name?”, “completion”: “My name is Mary”, “label”: true},
    {“prompt”: “Which is the best programming language?”, “completion”: “Python”, “label”: true},
    {“prompt”: “Which is the best programming language?”, “completion”: “C++”, “label”: false},
    {“prompt”: “Which is the best programming language?”, “completion”: “Java”, “label”: false},
    # Add more examples as needed…
]

The 'prompt' contains the context inputs, 'completion' contains the corresponding responses and 'label' contains the corresponding flag that indicates if the generated completion is desired (true) or undesired (false). A prompt can have multiple responses and this is reflected in the entries being repeated in the dictionary’s value arrays. ONLY output the dataset.