Update README with DataBench Lite

README.md

@@ -15,7 +15,7 @@ task_categories:
 # 💾🏋️💾 DataBench 💾🏋️💾
 
 This repository contains the original 65 datasets used for the paper Question Answering over Tabular Data with DataBench:
-A Large-Scale Empirical Evaluation of LLMs which appeared in LREC-Coling 2024.
+A Large-Scale Empirical Evaluation of LLMs which appeared in LREC-COLING 2024.
 
 Large Language Models (LLMs) are showing emerging abilities, and one of the latest recognized ones is tabular
 reasoning in question answering on tabular data. Although there are some available datasets to assess question
@@ -98,8 +98,8 @@ By clicking on each name in the table below, you will be able to explore each da
 Each folder represents one dataset. You will find the following files within:
 
 * all.parquet: the processed data, with each column tagged with our typing system, in [parquet](https://arrow.apache.org/docs/python/parquet.html).
-* qa.csv: contains the human-made set of questions, tagged by type and columns used, for the dataset.
-* sample.csv: sample containing 20 rows of the original dataset
+* qa.csv: contains the human-made set of questions, tagged by type and columns used, for the dataset (sample_answer indicates the answers for DataBench lite)
+* sample.csv: sample containing 20 rows of the original dataset (DataBench lite)
 * info.yml: additional information about the dataset
 
 ## 🗂️ Column typing system