describe dataset fix

describe the dataset fix, i.e. a211a3c7e8e25c751219fe146a23df35644b38f2

README.md

@@ -11,6 +11,8 @@ size_categories:
 
 CDCP (a.k.a. *Cornell eRulemaking Corpus*; [Park and Cardie, 2018](https://aclanthology.org/L18-1257.pdf)) consists of 731 user comments from an eRulemaking platform in the English language. There are five types of components (`fact`, `testimony`, `reference`, `value`, and `policy`) and two types of supporting relations (`reason` and `evidence`) are annotated on the basis of the study by Park et al. (2015). The resulting dataset contains 4931 elementary unit and 1221 support relation annotations (pp. 1623-1624). The spans are segmented into elementary units with a proposition consisting of a sentence or a clause, as well as a few non-argumentative units (Morio et al., 2022, p. 642).
 
+**IMPORTANT**: In the original data, there is one entry (id=00411) that has the same base text as another (id=00410), but has just a subset of the annotations. This dataset script will not load the broken entry (id=00411), so the train data will contain one entry less than reported in [Park and Cardie, 2018](https://aclanthology.org/L18-1257.pdf).
+
 ### Supported Tasks and Leaderboards
 
 - **Tasks:** Argument Mining, Link Prediction, Component Classification, Relation Classification
@@ -58,7 +60,7 @@ The language in the dataset is English (AmE).
 
 |                  | train | test |
 | ---------------- | ----: | ---: |
-| No. of instances |   581 |  150 |
+| No. of instances |   580 |  150 |
 
 ### Label Description and Statistics