First run at filling out the model card

README.md

@@ -45,72 +45,73 @@ pretty_name: Auditor_Review
 - [Additional Information](#additional-information)
   - [Dataset Curators](#dataset-curators)
   - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
 
 ## Dataset Description
+Auditor review data collected by News Department
 
-- **Homepage:**
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
 - **Point of Contact:**
-
+Talked to COE for Auditing, currently sue@demo.org
 ### Dataset Summary
 
-[More Information Needed]
+Auditor sentiment dataset of sentences from financial news. The dataset consists of *** sentences from English language financial news categorized by sentiment. The dataset is divided by agreement rate of 5-8 annotators.
 
 ### Supported Tasks and Leaderboards
 
-[More Information Needed]
+Sentiment Classification
 
 ### Languages
 
-[More Information Needed]
+English
 
 ## Dataset Structure
 
 ### Data Instances
 
-[More Information Needed]
+```
+"sentence": "Pharmaceuticals group Orion Corp reported a fall in its third-quarter earnings that were hit by larger expenditures on R&D and marketing .",
+"label": "negative"
+```
 
 ### Data Fields
 
-[More Information Needed]
+- sentence: a tokenized line from the dataset
+- label: a label corresponding to the class as a string: 'positive' - (2), 'neutral' - (1), or 'negative'  
 
 ### Data Splits
 
-[More Information Needed]
+A train/test split was created randomly with a 75/25 split
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-[More Information Needed]
+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
 
 #### Initial Data Collection and Normalization
 
-[More Information Needed]
+The corpus used in this paper is made out of English news reports.
 
 #### Who are the source language producers?
 
-[More Information Needed]
+The source data was written by various auditors.
 
 ### Annotations
 
 #### Annotation process
 
-[More Information Needed]
+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%.
 
 #### Who are the annotators?
 
-[More Information Needed]
+They were pulled from the SME list, names are held by sue@demo.org
 
 ### Personal and Sensitive Information
 
-[More Information Needed]
+There is no personal or sensitive information in this dataset.
 
 ## Considerations for Using the Data
 
@@ -120,7 +121,8 @@ pretty_name: Auditor_Review
 
 ### Discussion of Biases
 
-[More Information Needed]
+All annotators were from the same institution and so interannotator agreement
+should be understood with this taken into account.
 
 ### Other Known Limitations
 
@@ -134,12 +136,4 @@ pretty_name: Auditor_Review
 
 ### Licensing Information
 
-[More Information Needed]
-
-### Citation Information
-
-[More Information Needed]
-
-### Contributions
-
-Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
+License: Demo.Org Proprietary - DO NOT SHARE