Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Ken Tsui commited on
Commit ·
6e26c51
1
Parent(s): fa7dee4
Update README.md
Browse files
README.md
CHANGED
|
@@ -6,4 +6,12 @@ language:
|
|
| 6 |
- en
|
| 7 |
size_categories:
|
| 8 |
- 10K<n<100K
|
| 9 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
- en
|
| 7 |
size_categories:
|
| 8 |
- 10K<n<100K
|
| 9 |
+
---
|
| 10 |
+
# squad_v2_factuality_v1
|
| 11 |
+
This dataset is derived from "squad_v2" training "context" with the following steps.
|
| 12 |
+
1. NER is run to extract entities.
|
| 13 |
+
2. Lexicon of person's name, date, organisation name and location are collected.
|
| 14 |
+
3. 20% of the time, one of the text attribute (person's name, date, organisation name and location) is randomly replaced. For consistency of context, all other place with the same name is also replaced.
|
| 15 |
+
|
| 16 |
+
# Purpose of the Dataset
|
| 17 |
+
The purpose of this dataset is to assess if a language model could detect factuality.
|