Start on model card
Browse files
README.md
ADDED
@@ -0,0 +1,136 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
annotations_creators:
|
3 |
+
- expert-generated
|
4 |
+
language_creators:
|
5 |
+
- found
|
6 |
+
languages:
|
7 |
+
- en
|
8 |
+
licenses:
|
9 |
+
- cc-by-nc-sa-3.0
|
10 |
+
multilinguality:
|
11 |
+
- monolingual
|
12 |
+
size_categories:
|
13 |
+
- 1K<n<10K
|
14 |
+
source_datasets:
|
15 |
+
- original
|
16 |
+
task_categories:
|
17 |
+
- text-classification
|
18 |
+
task_ids:
|
19 |
+
- multi-class-classification
|
20 |
+
- sentiment-classification
|
21 |
+
paperswithcode_id: null
|
22 |
+
pretty_name: Auditor_Review
|
23 |
+
---
|
24 |
+
# Dataset Card for financial_phrasebank
|
25 |
+
## Table of Contents
|
26 |
+
- [Dataset Description](#dataset-description)
|
27 |
+
- [Dataset Summary](#dataset-summary)
|
28 |
+
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
|
29 |
+
- [Languages](#languages)
|
30 |
+
- [Dataset Structure](#dataset-structure)
|
31 |
+
- [Data Instances](#data-instances)
|
32 |
+
- [Data Fields](#data-fields)
|
33 |
+
- [Data Splits](#data-splits)
|
34 |
+
- [Dataset Creation](#dataset-creation)
|
35 |
+
- [Curation Rationale](#curation-rationale)
|
36 |
+
- [Source Data](#source-data)
|
37 |
+
- [Annotations](#annotations)
|
38 |
+
- [Personal and Sensitive Information](#personal-and-sensitive-information)
|
39 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
|
40 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
|
41 |
+
- [Discussion of Biases](#discussion-of-biases)
|
42 |
+
- [Other Known Limitations](#other-known-limitations)
|
43 |
+
- [Additional Information](#additional-information)
|
44 |
+
- [Dataset Curators](#dataset-curators)
|
45 |
+
- [Licensing Information](#licensing-information)
|
46 |
+
- [Citation Information](#citation-information)
|
47 |
+
- [Contributions](#contributions)
|
48 |
+
## Dataset Description
|
49 |
+
Auditor review data collected by News Department
|
50 |
+
- **Point of Contact:**
|
51 |
+
Talked to COE for Auditing
|
52 |
+
|
53 |
+
### Dataset Summary
|
54 |
+
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.
|
55 |
+
### Supported Tasks and Leaderboards
|
56 |
+
Sentiment Classification
|
57 |
+
### Languages
|
58 |
+
English
|
59 |
+
## Dataset Structure
|
60 |
+
### Data Instances
|
61 |
+
```
|
62 |
+
{ "sentence": "Pharmaceuticals group Orion Corp reported a fall in its third-quarter earnings that were hit by larger expenditures on R&D and marketing .",
|
63 |
+
"label": "negative"
|
64 |
+
}
|
65 |
+
```
|
66 |
+
### Data Fields
|
67 |
+
- sentence: a tokenized line from the dataset
|
68 |
+
- label: a label corresponding to the class as a string: 'positive', 'negative' or 'neutral'
|
69 |
+
### Data Splits
|
70 |
+
A test train split was created randomly with a 75/25 split
|
71 |
+
|
72 |
+
## Dataset Creation
|
73 |
+
|
74 |
+
### Curation Rationale
|
75 |
+
|
76 |
+
The key arguments for the low utilization of statistical techniques in
|
77 |
+
financial sentiment analysis have been the difficulty of implementation for
|
78 |
+
practical applications and the lack of high quality training data for building
|
79 |
+
such models. ***
|
80 |
+
|
81 |
+
|
82 |
+
### Source Data
|
83 |
+
|
84 |
+
#### Initial Data Collection and Normalization
|
85 |
+
|
86 |
+
The corpus used in this paper is made out of English news on all listed
|
87 |
+
companies in ****
|
88 |
+
|
89 |
+
#### Who are the source language producers?
|
90 |
+
|
91 |
+
The source data was written by various auditors
|
92 |
+
|
93 |
+
### Annotations
|
94 |
+
|
95 |
+
#### Annotation process
|
96 |
+
|
97 |
+
This release of the financial phrase bank covers a collection of 4840
|
98 |
+
sentences. The selected collection of phrases was annotated by 16 people with
|
99 |
+
adequate background knowledge on financial markets.
|
100 |
+
|
101 |
+
Given the large number of overlapping annotations (5 to 8 annotations per
|
102 |
+
sentence), there are several ways to define a majority vote based gold
|
103 |
+
standard. To provide an objective comparison, we have formed 4 alternative
|
104 |
+
reference datasets based on the strength of majority agreement:
|
105 |
+
|
106 |
+
|
107 |
+
### Personal and Sensitive Information
|
108 |
+
|
109 |
+
[More Information Needed]
|
110 |
+
|
111 |
+
## Considerations for Using the Data
|
112 |
+
|
113 |
+
### Social Impact of Dataset
|
114 |
+
|
115 |
+
[More Information Needed]
|
116 |
+
|
117 |
+
### Discussion of Biases
|
118 |
+
|
119 |
+
All annotators were from the same institution and so interannotator agreement
|
120 |
+
should be understood with this taken into account.
|
121 |
+
|
122 |
+
### Other Known Limitations
|
123 |
+
|
124 |
+
[More Information Needed]
|
125 |
+
|
126 |
+
## Additional Information
|
127 |
+
|
128 |
+
### Dataset Curators
|
129 |
+
|
130 |
+
[More Information Needed]
|
131 |
+
|
132 |
+
### Licensing Information
|
133 |
+
|
134 |
+
License: Creative Commons Attribution 4.0 International License (CC-BY)
|
135 |
+
|
136 |
+
### Contributions
|