update README.md

README.md

@@ -75,7 +75,7 @@ The training split of `nitibench-ccl` can be found in the [WangchanX-Legal-ThaiC
 Each data point contains four columns:
 - `question: str` — A question relevant to the `relevant_laws`.
 - `answer: str` — The answer to the question based on the `relevant_laws`, provided without the reasoning steps.
-- `relevant_laws: List[Dict[str, str]]` — A list of relevant laws that should be used as context when answering the question.
+- `relevant_laws: List[Dict[str, str]]` — A list of relevant laws that should be used as context when answering the question. **The value is formatted as string since Huggingface's dataset won't allow parsing nested dictionary. Make sure you parse this to dictionary for later use**.
 - `reference_answer: str` — The original answer generated by an LLM, which has been revised and edited by legal experts to include both the reasoning steps and the final answer.
 
 Formally, given the data triple \((q, T=\{p_1, p_2, \dots, p_K\}, y)\), \(q\) represents the `question`, \(T\) represents `relevant_laws`, and \(y\) represents the `answer`.
@@ -105,7 +105,6 @@ This split uses the same format as described in the [NitiBench-CCL split](#data-
 For any inquiries or concerns, please reach out to us via email: [Chompakorn Chaksangchaichot](mailto:chompakornc_pro@vistec.ac.th).
 
 ## Citation
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