Update README.md

README.md

@@ -22,6 +22,39 @@ Specifications
 - Dataset size: ~85k
 - Language: English, French, Spanish
 
+# Columns 
+- **index (type:int)**: Unique Response ID
+- **ResponseText (type:str)**: Annotated answer/response to query
+- **Alpha3 (type:str)**:country alpha-3 code (ISO 3166)
+- **Country (type:str)**: country name
+- **Document (type:str)**:Name of type of Policy document from which response is provided
+- **IkiInfo (type: list[dict])**: Responsetext can appear/occur as answer/response for different kind of query, therefore in that case we preserve all raw information for each occurences.
+  Each dictionary object represents one such occurrence for response and provides all raw metadata for an occurrence.In case of None, it means
+  the entry belongs to Climate data and not IKI Tracs data)
+- **CWInfo (type: list[dict])**:Responsetext can appear/occur as answer/response for different kind of query, therefore in that case we preserve all raw information for each occurences.
+  Each dictionary object represents one such occurrence for response and provides all raw metadata for an occurrence. In case of None, it means
+  the entry belongs to Iki tracs data and not CW)
+- **Source (type:list[str])**: Contains the name of source
+- **Target (type:list)**: Value at index 0, represents number of times ResponseText appears as 'Target', and not-Target (value at index 1 )
+- **Action (type:list)**: Value at index 0, represents number of times ResponseText appears as 'Action', and not-Action (value at index 1 )
+- **Policies_Plans (type:list)**: Value at index 0, represents number of times ResponseText appears as 'Policy/Plan', and not-Policy/Plan (value at index 1 )
+- **Mitigation (type:list)**: Value at index 0, represents number of times ResponseText appears in reference to Mititgation and not-Mitigation (value at index 1 )
+- **Adaptation (type:list)**: Value at index 0, represents number of times ResponseText appears in reference to Adaptation and not-Adaptation (value at index 1 )
+- **language (type:str)**: ISO code of language of ResponseText.
+- **context (type:list[str])**: List of paragraphs/textchunk from the document of country which contains the ResponseText. These results are based on Okapi bm25 retriever,
+ and hence dont represent ground truth. 
+- **context_lang (type:str)**:  ISO code of language of ResponseText. In some cases context and ResponseText are different as annotator have provided the translated response, rather than original text from document.
+- **matching_words(type:list[list[[words]])**:For each context, finds the matching words from ResponseText (stopwords not considered).
+- **response_words(type:list[words])**:Tokens/Words from ResponseText (stopwords not considered)
+- **context_wordcount (type:list[int])**: Number of tokens/words in each context (remember context itself is list of multiple strings, and stopwords not considered)
+- **strategy (type:str)**: Can take either of *small,medium,large* value. Represents the length of paragraphs/textchunk considered for finding the right context for ResponseText
+- 
+        "match_onresponse": [
+            0.86,
+            0.86,
+            0.71
+        ],
+        "candidate": [
 The list of Sectors covered include: Agriculture', 'Coastal Zone', 'Cross-Cutting Area', 'Education', 'Energy', 'Environment', 'Water', 'Buildings', 'Economy-wide', 'Industries', 'Transport', 'Waste', 'Health', 'LULUCF/Forestry', 'Social Development', 'Disaster Risk Management (DRM)', 'Urban','Tourism'.
 Some of the important question categories pertaining to climate change(adapted from climatewatchdata) include
 - Sectoral Policies