Update README.md

README.md

@@ -34,8 +34,6 @@ task_ids:
   - [Languages](#languages)
 - [Dataset Structure](#dataset-structure)
   - [Data Instances](#data-instances)
-    - [Token Classification](#data-instances-token-classification)
-    - [Relations Extraction](#data-instances-relations-extraction)
   - [Data Fields](#data-fields)
   - [Data Splits](#data-splits)
 - [Dataset Creation](#dataset-creation)
@@ -67,7 +65,9 @@ Abstract. Although there is a long tradition of work in NLP on extracting entiti
 
 ### Supported Tasks and Leaderboards
 
-Named Entity Recognition
+- Token Classification
+- Named Entity Recognition
+- Relations Extraction
 
 ### Languages
 
@@ -78,8 +78,7 @@ English
 Test set to beanchmark *Business Process Extraction from Text* approaches.
 
 ### Data Instances
-
-#### <a name="data-instances-token-classification"></a>Token Classification
+#### Token Classification
 
 For each instance, there is a document name representing the name of the document of the Friedrich *et al.* dataset, an integer representing the number of the sentence, a list of tokens representing the words of the sentence instance, and a list of *ner tags* (in IOB2 format) representing the annotation of process elements of the sentence.
 
@@ -93,9 +92,10 @@ Below, an example of data instance.
 }
 ```
 
-#### <a name="data-instances-relations-extraction"></a>Token Classification
+#### Relations Extraction
 
 ### Data Fields
+#### Token Classification
 
 - *document name*: a string used to represent the name of the document.
 - *sentence-ID*: an integer (starting from 0) representing the number of the sentence within the document.
@@ -121,6 +121,19 @@ The allowed **ner-tags** are:
 
 To have a complete explanation of each process element tag please refer to the [research paper](https://arxiv.org/abs/2203.04860) and the [annotation guidelines](https://pdi.fbk.eu/pet/annotation-guidelines-for-process-description.pdf).
 
+### Relations Extraction
+- *document name*: a string used to represent the name of the document.
+- *tokens*: a list of string representing the words of the document
+- *tokens-IDs*: a list of interger representing the word position within a sentence
+- *sentence-IDs*: a list of interger representing the sentence number for each word of the document
+- *relations*:: a list of document relations
+  - *source-head-sentence-ID*: a list of sentence ID of the source head , 
+  - *source-head-word-ID*: a list of 
+  - *relation-type*: a list of 
+  - *target-head-sentence-ID*: a list of 
+  - *target-head-word-ID*: a list of 
+
+
 ### Data Splits
 
 The data was not splited. It contains the test set only.