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hung20gg/financial-forecast

Financial Forecast Dataset Vietnamese finance QA dataset focused on company metrics and comparisons. Columns id: Unique identifier question: Formatted question question_raw: Raw question text answer_type: Type of answer (e.g., entity) answer: The numerical answer time_asked: Date the question was asked sources: Data sources (e.g., company_quarter) data_source: Identifier for the data source pipeline (e.g., finance-sql) reward_model: Reward model config… See the full description on the dataset page: https://huggingface.co/datasets/hung20gg/financial-forecast.

sourceHugging Faceupdated 5mo agoView on Hugging Face
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Financial Forecast Dataset

Vietnamese finance QA dataset focused on company metrics and comparisons.

Columns

  • id: Unique identifier
  • question: Formatted question
  • question_raw: Raw question text
  • answer_type: Type of answer (e.g., entity)
  • answer: The numerical answer
  • time_asked: Date the question was asked
  • sources: Data sources (e.g., company_quarter)
  • data_source: Identifier for the data source pipeline (e.g., finance-sql)
  • reward_model: Reward model config containing:
  • style: Reward style (e.g., rule)
  • ground_truth: The ground truth value used for reward computation
  • extra_info: Metadata containing:
  • gap: Time gap in periods
  • data_cutoff: Data cutoff date
  • reasoning_hops: Number of reasoning steps
  • entities: List of companies/entities involved
  • metrics: List of financial metrics involved
  • periods: List of time periods involved
  • question_family: Category of the question
  • question_subtype: Detailed subcategory
  • ambiguity: Ambiguity status
  • value_a, value_b, current, previous: Intermediate numerical values