Update README.md

README.md

@@ -28,8 +28,14 @@ This dataset contains all inputs needed as well as outputs of running the full p
           * contains 7 csv files with results of fuzzy key search for keywords. The file name indicates the key being searched for and the text around this keyword is extracted in a row for each document
     * raw
       * images: images from [here](https://huggingface.co/datasets/DSSGxMunich/nrw-bplan-images) can be added to this folder
-      * links: **to do**
-      * text: **to do**
+      * links:
+          * ```NRW_BP.geojson```: The file downloaded from the NRV geoportal, containing all raw data on URLs to land parcel bplans. 
+          * ```land_parcels.geojson```: A processed version of NRW_BP.geojson
+          * ```NRW_BP_parsed_links.csv```: A csv formatted version of NRW_BP.geojson.
+          
+      * text: 
+          * ```bp_text.json```: Raw output of the text text extraction of each pdf. Contains only columns for the filename and the extracted text.
+          * ```document_texts.json```: Enriched version of bp_texts.json in which columns about the documents have been appended. 
       * pdfs: pdfs extarcted from the NRW Geoportal and are found [here](https://huggingface.co/datasets/DSSGxMunich/nrw-bplan-pdfs), can be added to this folder
     * knowledge_extraction_agent: Contains 6 json files. The filename corresponds to the key looked for in the fuzzy keyword search (e.g. ```fh.json``` cooresponds to ```firsthöhe.csv```, ```gfz.json``` corrresponds to ```geschossflächenzahl.csv```). More unfo can be found [here](https://huggingface.co/datasets/DSSGxMunich/bplan_keyword_extraction) 
     * ```knowledge_agent_output.json```: Is a toy example for 10 files of the output of the pipeline for the knowledge agent (merging of results in ```nrw/bplan/knowledge_extraction_agent```)