GIFT-CTX

## Gift-EvalCTX Parquet This repository hosts the GIFT-EvalCTX dataset in parquet format, highly compatible with LLMs. Each row is a sample of the dataset and contain the following fields: - **idx**: unique id of the sample - **source**: source of the same - **skill**: the types of context - **frequency**: frequency of the sample - **history_values**: a string containing values of the history - **history_start**: starting timestamp of the history - **history_end**: ending timestamp of the history - **future_values**: a string containing values of the forecasting future - **future_start**: starting timestamp of the future - **future_end**: ending timestamp of the future - **entry_sep**: separator used to split the string in history_values, future_values, and roi into array of floats - **roi**: region of interest, indicating the indices of the timestamp that are affected by the context and used in evaluation - **pred_length**: number of timestamps to forecast - **system_prompt**: default system prompt - **user_instruct**: query to forecast - **context_info**: context for the current sample - **prompt**: a complete prompt to query LLM Note that all fields contain string only, you need to convert them into the appropriate format (array of floats, or datetime). ## Example usage ```python from datasets import load_dataset ds = load_dataset( "Salesforce/GiftEvalCTX", "gift_ctx", split="train" ) print(len(ds)) print(ds[0].keys()) ``` This repository is made public for research purposes only.