added codebook

README.md

@@ -19,7 +19,7 @@ task_ids:
 paperswithcode_id: null
 pretty_name: Auditor_Review
 ---
-# Dataset Card for [Dataset Name]
+# Dataset Card for Auditor_Review
 
 ## Table of Contents
 - [Table of Contents](#table-of-contents)
@@ -49,6 +49,7 @@ Auditor review data collected by News Department
 
 - **Point of Contact:**
 Talked to COE for Auditing, currently [email protected]
+
 ### Dataset Summary
 
 Auditor sentiment dataset of sentences from financial news. The dataset consists of 3500 sentences from English language financial news categorized by sentiment. The dataset is divided by the agreement rate of 5-8 annotators.
@@ -75,6 +76,8 @@ English
 - sentence: a tokenized line from the dataset
 - label: a label corresponding to the class as a string: 'positive' - (2), 'neutral' - (1), or 'negative' - (0)  
 
+Complete data code is [available here](https://www.datafiles.samhsa.gov/get-help/codebooks/what-codebook)
+
 ### Data Splits
 
 A train/test split was created randomly with a 75/25 split
@@ -83,7 +86,7 @@ A train/test split was created randomly with a 75/25 split
 
 ### Curation Rationale
 
-To gather our auditor evaluations into one dataset. Previous attempts using off the shelf sentiment had only 70% F1, this dataset was an attempt to improve upon that performance.
+To gather our auditor evaluations into one dataset. Previous attempts using off-the-shelf sentiment had only 70% F1, this dataset was an attempt to improve upon that performance.
 
 ### Source Data
 
@@ -101,7 +104,7 @@ The source data was written by various auditors.
 
 This release of the auditor reviews covers a collection of 4840
 sentences. The selected collection of phrases was annotated by 16 people with
-adequate background knowledge on financial markets.  The subset here is where interannotation agreement was greater than 75%.
+adequate background knowledge of financial markets.  The subset here is where inter-annotation agreement was greater than 75%.
 
 #### Who are the annotators?
 
@@ -113,10 +116,6 @@ There is no personal or sensitive information in this dataset.
 
 ## Considerations for Using the Data
 
-### Social Impact of Dataset
-
-[More Information Needed]
-
 ### Discussion of Biases
 
 All annotators were from the same institution and so interannotator agreement
@@ -126,12 +125,6 @@ should be understood with this taken into account.
 
 [More Information Needed]
 
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
 ### Licensing Information
 
 License: Demo.Org Proprietary - DO NOT SHARE