Update markdown.py

markdown.py

@@ -52,12 +52,13 @@ Citation: `@inproceedings{...`
 
 The [contamination_report.csv](https://huggingface.co/spaces/CONDA-Workshop/Data-Contamination-Report/blob/main/contamination_report.csv) file is a csv filed with `;` delimiters. You will need to update the following columns:
 - Evaluation Dataset: Name of the evaluation dataset contaminated. If available in the HuggingFace Hub please write the path  (e.g. `uonlp/CulturaX`), otherwise  proviede the name of the dataset.
+- Subset: Many HuggingFace datasets have different subsets or splits on a single dataset. This field is to define a particular subset of a given dataset. For example, `qnli` subset of `glue`.
 - Contaminated Source: Name of the model that has been trained with the evaluation dataset or name of the pre-training copora that contains the evaluation datset. If available in the HuggingFace Hub please write the path  (e.g. `allenai/OLMo-7B`), otherwise proviede the name of the model/dataset.
 - Train split: Percentage of the train split contaminated. 0 means no contamination. 1 means that the dataset has been fully contamianted. If the dataset doesn't have splits, you can consider that the full dataset is a train or test split. 
 - Development split: Percentage of the development split contaminated. 0 means no contamination. 1 means that the dataset has been fully contamianted.
 - Train split: Percentage of the test split contaminated. 0 means no contamination. 1 means that the dataset has been fully contamianted.  If the dataset doesn't have splits, you can consider that the full dataset is a train or test split. 
 - Approach: data-based or model-based approach. See above for more information.
-- Citation: If there is paper or any other resource describing how you have detected this contamination example, provide the URL. 
+- Reference: If there is paper or any other resource describing how you have detected this contamination example, provide the URL. 
 - PR Link: Leave it blank, we will update it after you create the Pull Request. 
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