Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
French
Size:
10K - 100K
License:
bourdoiscatie
commited on
Commit
•
c91cbef
1
Parent(s):
2234cb8
Update README.md
Browse files
README.md
CHANGED
@@ -6,13 +6,24 @@ size_categories:
|
|
6 |
- 10K<n<100K
|
7 |
task_categories:
|
8 |
- question-answering
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
---
|
10 |
|
11 |
# newsquadfr_fr_prompt_qa
|
12 |
## Summary
|
13 |
|
14 |
-
**newsquadfr_fr_prompt_qa** is a subset of the [**Dataset of French Prompts (DFP)**]().
|
15 |
-
It contains **
|
16 |
The original data (without prompts) comes from the dataset [newsquadfr]( https://huggingface.co/datasets/lincoln/newsquadfr) and was augmented by questions in SQUAD 2.0 format in the [FrenchQA]( https://huggingface.co/datasets/CATIE-AQ/frenchQA) dataset.
|
17 |
A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.
|
18 |
|
@@ -70,8 +81,9 @@ A list of prompts (see below) was then applied in order to build the input and t
|
|
70 |
|
71 |
|
72 |
# Splits
|
73 |
-
- train with
|
74 |
-
-
|
|
|
75 |
|
76 |
|
77 |
# How to use?
|
@@ -92,4 +104,4 @@ dataset = load_dataset("CATIE-AQ/newsquadfr_fr_prompt_qa")
|
|
92 |
|
93 |
|
94 |
## License
|
95 |
-
CC BY-NC-SA 4.0
|
|
|
6 |
- 10K<n<100K
|
7 |
task_categories:
|
8 |
- question-answering
|
9 |
+
tags:
|
10 |
+
- DFP
|
11 |
+
- french prompts
|
12 |
+
annotations_creators:
|
13 |
+
- found
|
14 |
+
language_creators:
|
15 |
+
- found
|
16 |
+
multilinguality:
|
17 |
+
- monolingual
|
18 |
+
source_datasets:
|
19 |
+
- newsquadfr
|
20 |
---
|
21 |
|
22 |
# newsquadfr_fr_prompt_qa
|
23 |
## Summary
|
24 |
|
25 |
+
**newsquadfr_fr_prompt_qa** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
|
26 |
+
It contains **88,410** rows that can be used for a question-answering task.
|
27 |
The original data (without prompts) comes from the dataset [newsquadfr]( https://huggingface.co/datasets/lincoln/newsquadfr) and was augmented by questions in SQUAD 2.0 format in the [FrenchQA]( https://huggingface.co/datasets/CATIE-AQ/frenchQA) dataset.
|
28 |
A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.
|
29 |
|
|
|
81 |
|
82 |
|
83 |
# Splits
|
84 |
+
- `train` with 69,300 samples
|
85 |
+
- `valid` with 19,110 samples
|
86 |
+
- no `test` split
|
87 |
|
88 |
|
89 |
# How to use?
|
|
|
104 |
|
105 |
|
106 |
## License
|
107 |
+
CC BY-NC-SA 4.0
|