NIFTY Financial News Headlines Dataset

• URL: http://arxiv.org/abs/2405.09747v1
• Date: Thu, 16 May 2024 01:09:33 GMT
• Title: NIFTY Financial News Headlines Dataset
• Authors: Raeid Saqur, Ken Kato, Nicholas Vinden, Frank Rudzicz,
• Abstract summary: The NIFTY Financial News Headlines dataset is designed to facilitate and advance research in financial market forecasting using large language models (LLMs) This dataset comprises two distinct versions tailored for different modeling approaches: (i) NIFTY-LM, which targets supervised fine-tuning (SFT) of LLMs with an auto-regressive, causal language-modeling objective, and (ii) NIFTY-RL, formatted specifically for alignment methods (like reinforcement learning from human feedback) to align LLMs via rejection sampling and reward modeling.
• Score: 14.622656548420073
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: We introduce and make publicly available the NIFTY Financial News Headlines dataset, designed to facilitate and advance research in financial market forecasting using large language models (LLMs). This dataset comprises two distinct versions tailored for different modeling approaches: (i) NIFTY-LM, which targets supervised fine-tuning (SFT) of LLMs with an auto-regressive, causal language-modeling objective, and (ii) NIFTY-RL, formatted specifically for alignment methods (like reinforcement learning from human feedback (RLHF)) to align LLMs via rejection sampling and reward modeling. Each dataset version provides curated, high-quality data incorporating comprehensive metadata, market indices, and deduplicated financial news headlines systematically filtered and ranked to suit modern LLM frameworks. We also include experiments demonstrating some applications of the dataset in tasks like stock price movement and the role of LLM embeddings in information acquisition/richness. The NIFTY dataset along with utilities (like truncating prompt's context length systematically) are available on Hugging Face at https://huggingface.co/datasets/raeidsaqur/NIFTY.

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