Datasets:
Modalities:
Text
Formats:
parquet
Sub-tasks:
abstractive-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Host data files (#4)
Browse files- Add source data files (7570a0e00f813fe89c7bc8af42d91f0e9e9d433c)
- Update loading script (566a3161c4edca53b70c9c44a4457794b5a4ab7e)
- Update dataset card (6e87e543966b1c6bd280124c0bf87b8f828e95df)
- README.md +4 -4
- data/narrativeqa-master.zip +3 -0
- data/narrativeqa_full_text.zip +3 -0
- narrativeqa.py +5 -2
README.md
CHANGED
|
@@ -63,16 +63,16 @@ dataset_info:
|
|
| 63 |
sequence: string
|
| 64 |
splits:
|
| 65 |
- name: train
|
| 66 |
-
num_bytes:
|
| 67 |
num_examples: 32747
|
| 68 |
- name: test
|
| 69 |
-
num_bytes:
|
| 70 |
num_examples: 10557
|
| 71 |
- name: validation
|
| 72 |
-
num_bytes:
|
| 73 |
num_examples: 3461
|
| 74 |
download_size: 192528922
|
| 75 |
-
dataset_size:
|
| 76 |
---
|
| 77 |
|
| 78 |
# Dataset Card for Narrative QA
|
|
|
|
| 63 |
sequence: string
|
| 64 |
splits:
|
| 65 |
- name: train
|
| 66 |
+
num_bytes: 11556607782
|
| 67 |
num_examples: 32747
|
| 68 |
- name: test
|
| 69 |
+
num_bytes: 3547135501
|
| 70 |
num_examples: 10557
|
| 71 |
- name: validation
|
| 72 |
+
num_bytes: 1211859418
|
| 73 |
num_examples: 3461
|
| 74 |
download_size: 192528922
|
| 75 |
+
dataset_size: 16315602701
|
| 76 |
---
|
| 77 |
|
| 78 |
# Dataset Card for Narrative QA
|
data/narrativeqa-master.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d9fc92d5f53409f845ba44780e6689676d879c739589861b4805064513d1476b
|
| 3 |
+
size 5112076
|
data/narrativeqa_full_text.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e179a579d348da37b4929f20ece277a721f853fdc5efc11f915904de2a71727
|
| 3 |
+
size 187416846
|
narrativeqa.py
CHANGED
|
@@ -39,9 +39,12 @@ _DESCRIPTION = """\
|
|
| 39 |
The NarrativeQA dataset for question answering on long documents (movie scripts, books). It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.
|
| 40 |
"""
|
| 41 |
|
|
|
|
|
|
|
|
|
|
| 42 |
_URLS = {
|
| 43 |
-
"full_text": "
|
| 44 |
-
"repo": "
|
| 45 |
}
|
| 46 |
|
| 47 |
|
|
|
|
| 39 |
The NarrativeQA dataset for question answering on long documents (movie scripts, books). It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.
|
| 40 |
"""
|
| 41 |
|
| 42 |
+
# Source:
|
| 43 |
+
# - full_text: https://storage.googleapis.com/huggingface-nlp/datasets/narrative_qa/narrativeqa_full_text.zip
|
| 44 |
+
# - repo: https://github.com/deepmind/narrativeqa/archive/master.zip
|
| 45 |
_URLS = {
|
| 46 |
+
"full_text": "data/narrativeqa_full_text.zip",
|
| 47 |
+
"repo": "data/narrativeqa-master.zip",
|
| 48 |
}
|
| 49 |
|
| 50 |
|