update readme

README.md

@@ -25,10 +25,12 @@ A dataset of 100 corporate sustainability reports with manually extracted scope
 
 ### Dataset Description
 
-Data about corporate greenhouse gas emissions is usually published only as part of sustainability report PDF's, which is not a machine-readable format, which is a tedious and time-consuming process. Interested actors have to manually extract emission data from these reports. An automatic information-extraction system could solve this issue.
+Data about corporate greenhouse gas emissions is usually published only as part of sustainability report PDF's, which is not a machine-readable format. Interested actors have to manually extract emission data from these reports, which is a tedious and time-consuming process. An automatic information-extraction system could solve this issue.
 
 To evaluate such information-extraction systems and to encourage research into solving this task, a dataset of sustainability reports and manually-extracted emission values is created and published.
 
+While this dataset is intended for evaluation, the accompanying [sustainability-report-emissions](https://huggingface.co/datasets/nopperl/sustainability-report-emissions) dataset is intended for training/finetuning models.
+
 - **License:** Open Data Commons Public Domain Dedication and License (PDDL)
 
 ### Dataset Sources [optional]
@@ -39,7 +41,7 @@ To evaluate such information-extraction systems and to encourage research into s
 
 ## Uses
 
-The dataset is intended to be used to evaluate or develop automatic systems to extract machine-readable greenhouse gas emission data from sustainability reports.
+The dataset is intended to be used to evaluate automatic systems to extract machine-readable greenhouse gas emission data from sustainability reports.
 
 ## Dataset Structure
 
@@ -54,7 +56,7 @@ The dataset is intended to be used to evaluate or develop automatic systems to e
 - `scope_2_location_page` (list<int>): set of pages containing total location-based scope 2 emission data.
 - `scope_3_page` (list<int>): set of pages containing total scope 1 emission data.
 - `url` (string): the URL to the sustainability report PDF.
-- `sha256` (string): SHA-256 hash string of the report PDF, which should be used 
+- `sha256` (string): SHA-256 hash string of the report PDF to ensure the integrity of downloaded files.
 - `subset` (string): indication of whether the report comes from the set of Euro Stoxx 50 (`eurostoxx`), NYSE (`nyse`) or Nikkei 225 (`tyo`) corporations.
 
 The remaining 15 fields contain the data for each of the [15 scope 3 emission categories](https://ghgprotocol.org/scope-3-calculation-guidance-2).
@@ -65,7 +67,7 @@ The dataset only contains the URL to the report PDF. A helper script to download
 
 ### Curation Rationale
 
-To our knowledge, there is no publicly-available dataset containing manually extracted (self-reported) greenhouse gas emission data from sustainability reports. Hence, this dataset was collected to enable the evaluation and development of automatic information-extraction systems.
+To our knowledge, there is no publicly-available dataset containing manually extracted (self-reported) greenhouse gas emission data from sustainability reports. Hence, this dataset was collected to enable the evaluation of automatic information-extraction systems.
 
 ### Source Data
 
@@ -125,4 +127,4 @@ Even though some care was taken to ensure geographic diversity, the dataset does
 
 **BibTeX:**
 
-[More Information Needed]
+[More Information Needed]