Update README.md

README.md

@@ -50,7 +50,7 @@ Since the raw text is quite noisy and processing is not perfect, we do observe s
 ### Data Fields
 
 - `id2name.json` provides a lookup table (dictionary) from `itemid` (e.g., `tt0053779`) to `itemname` (e.g., `La Dolce Vita (1960)`). Note that, the `itemid` is from [IMDB](https://imdb.com), so that it can be used to align other movie recommendation datasets sharing the same `itemid`, such as [MovieLens](https://movielens.org/).
-- `{train, valid, test}.csv` are question-answer pairs that can be used for training, validation and testing (split by the dialog created timestamp in their chronological order, ranging from far to recent). There are four columns in these `*.csv` files:
+- `{train, valid, test}.csv` are question-answer pairs that can be used for training, validation and testing (split by the dialog created timestamp in their chronological order, ranging from far to recent). There are 12 columns in these `*.csv` files:
     - `conv_id (string)`: Conversational ID. Since our conversations are collected from reddit posts, we generate conversations by extracting paths in a reddit thread with different replies. An example of `conv_id` is:
         ```
         "t3_rt7enj_0/14" # -> t3_rt7enj is the ID of the first post in the thread, 0 means this is the first path extracted from this thread, and 13 means there are 13 paths in total.