added generic card

README.md

@@ -21,8 +21,10 @@ task_ids:
 paperswithcode_id: null
 pretty_name: Auditor_Review
 ---
-# Dataset Card for Auditor Review dataset
+# Dataset Card for [Dataset Name]
+
 ## Table of Contents
+- [Table of Contents](#table-of-contents)
 - [Dataset Description](#dataset-description)
   - [Dataset Summary](#dataset-summary)
   - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
@@ -43,52 +45,101 @@ 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
-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.
+
+[More Information Needed]
+
 ### Supported Tasks and Leaderboards
-Sentiment Classification
+
+[More Information Needed]
+
 ### Languages
-English
+
+[More Information Needed]
+
 ## Dataset Structure
+
 ### Data Instances
-```
-"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"
-```
+
+[More Information Needed]
+
 ### Data Fields
-- sentence: a tokenized line from the dataset
-- label: a label corresponding to the class as a string: 'positive' - (2), 'neutral' - (1), or 'negative'  
+
+[More Information Needed]
+
 ### Data Splits
-A train/test split was created randomly with a 75/25 split
+
+[More Information Needed]
+
 ## Dataset Creation
+
 ### 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.
+
+[More Information Needed]
+
 ### Source Data
+
 #### Initial Data Collection and Normalization
-The corpus used in this paper is made out of English news reports.
+
+[More Information Needed]
+
 #### Who are the source language producers?
-The source data was written by various auditors.
+
+[More Information Needed]
+
 ### Annotations
+
 #### Annotation process
-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%.
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
 ### Personal and Sensitive Information
-There is no personal or sensitive information in this dataset.
+
+[More Information Needed]
+
 ## 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
-should be understood with this taken into account.
+
+[More Information Needed]
+
 ### Other Known Limitations
+
 [More Information Needed]
+
 ## Additional Information
+
 ### Dataset Curators
+
 [More Information Needed]
+
 ### Licensing Information
-License: Demo.Org Proprietary - DO NOT SHARE
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.