rajistics
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Updated model card

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  1. README.md +6 -16
README.md CHANGED
@@ -17,9 +17,9 @@ task_ids:
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  - multi-class-classification
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  - sentiment-classification
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  paperswithcode_id: null
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- pretty_name: Auditor_Review
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  ---
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- # Dataset Card for [Dataset Name]
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
@@ -45,13 +45,13 @@ pretty_name: Auditor_Review
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  - [Licensing Information](#licensing-information)
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  ## Dataset Description
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- Auditor review data collected by News Department
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  - **Point of Contact:**
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  Talked to COE for Auditing, currently sue@demo.org
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  ### Dataset Summary
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- 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.
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  ### Supported Tasks and Leaderboards
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@@ -83,7 +83,7 @@ A train/test split was created randomly with a 75/25 split
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  ### Curation Rationale
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- 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.
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  ### Source Data
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@@ -101,7 +101,7 @@ The source data was written by various auditors.
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  This release of the auditor reviews covers a collection of 4840
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  sentences. The selected collection of phrases was annotated by 16 people with
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- adequate background knowledge on financial markets. The subset here is where interannotation agreement was greater than 75%.
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  #### Who are the annotators?
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@@ -122,16 +122,6 @@ There is no personal or sensitive information in this dataset.
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  All annotators were from the same institution and so interannotator agreement
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  should be understood with this taken into account.
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- ### Other Known Limitations
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-
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- [More Information Needed]
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-
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- ## Additional Information
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-
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- ### Dataset Curators
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-
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- [More Information Needed]
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-
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  ### Licensing Information
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  License: Demo.Org Proprietary - DO NOT SHARE
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  - multi-class-classification
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  - sentiment-classification
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  paperswithcode_id: null
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+ pretty_name: Auditor_Sentiment
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  ---
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+ # Dataset Card for Auditor Sentiment
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
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  - [Licensing Information](#licensing-information)
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  ## Dataset Description
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+ Auditor review sentiment collected by News Department
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  - **Point of Contact:**
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  Talked to COE for Auditing, currently sue@demo.org
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  ### Dataset Summary
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+ Auditor sentiment dataset of sentences from financial news. The dataset consists of several thousand sentences from English language financial news categorized by sentiment.
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  ### Supported Tasks and Leaderboards
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  ### Curation Rationale
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+ 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.
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  ### Source Data
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101
 
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  This release of the auditor reviews covers a collection of 4840
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  sentences. The selected collection of phrases was annotated by 16 people with
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+ adequate background knowledge on financial markets. The subset here is where inter-annotation agreement was greater than 75%.
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  #### Who are the annotators?
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  All annotators were from the same institution and so interannotator agreement
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  should be understood with this taken into account.
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  ### Licensing Information
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  License: Demo.Org Proprietary - DO NOT SHARE