Datasets:
Tasks:
Text Generation
Modalities:
Text
Sub-tasks:
language-modeling
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
question-generation
License:
Update qag_squad.py
Browse files- qag_squad.py +11 -1
qag_squad.py
CHANGED
@@ -5,7 +5,17 @@ logger = datasets.logging.get_logger(__name__)
|
|
5 |
_VERSION = "2.0.0"
|
6 |
_NAME = "qag_squad"
|
7 |
_CITATION = """
|
8 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
"""
|
10 |
_DESCRIPTION = """Question & answer generation dataset based on SQuAD."""
|
11 |
_URL = f"https://huggingface.co/datasets/lmqg/{_NAME}/resolve/main/data/processed"
|
|
|
5 |
_VERSION = "2.0.0"
|
6 |
_NAME = "qag_squad"
|
7 |
_CITATION = """
|
8 |
+
@inproceedings{ushio-etal-2022-generative,
|
9 |
+
title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
|
10 |
+
author = "Ushio, Asahi and
|
11 |
+
Alva-Manchego, Fernando and
|
12 |
+
Camacho-Collados, Jose",
|
13 |
+
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
|
14 |
+
month = dec,
|
15 |
+
year = "2022",
|
16 |
+
address = "Abu Dhabi, U.A.E.",
|
17 |
+
publisher = "Association for Computational Linguistics",
|
18 |
+
}
|
19 |
"""
|
20 |
_DESCRIPTION = """Question & answer generation dataset based on SQuAD."""
|
21 |
_URL = f"https://huggingface.co/datasets/lmqg/{_NAME}/resolve/main/data/processed"
|