Datasets:
Tasks:
Text Retrieval
Sub-tasks:
document-retrieval
Size Categories:
100K<n<1M
Annotations Creators:
no-annotation
Source Datasets:
extended|csl
Tags:
License:
Commit
•
185e5e1
1
Parent(s):
4eb9813
add English translation
Browse files- README.md +6 -0
- csl.py +6 -4
- data/csl.gt.063023.jsonl.gz +3 -0
README.md
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@@ -3,6 +3,7 @@ annotations_creators:
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- no-annotation
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language:
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- zh
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license:
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- apache-2.0
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pretty_name: CSL
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### Languages
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- Chinese
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## Dataset Structure
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| Split | Documents |
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|-----------------|----------:|
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| `csl` | 396k |
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### Data Fields
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- `discipline`: academic discipline of the paper
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- `discipline_eng`: English translation of the academic discipline (e.g., Agricultural Engineering)
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## Dataset Usage
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Using 🤗 Datasets:
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- no-annotation
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language:
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- zh
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- en
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license:
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- apache-2.0
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pretty_name: CSL
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### Languages
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- Chinese
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- English (translation)
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## Dataset Structure
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| Split | Documents |
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|-----------------|----------:|
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| `csl` | 396k |
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| `en_translation`| 396k |
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### Data Fields
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- `discipline`: academic discipline of the paper
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- `discipline_eng`: English translation of the academic discipline (e.g., Agricultural Engineering)
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The `en_translation` contains documents translated from Google Translation service.
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All text are in English, so the fields `category_eng` and `discipline_eng` are omitted.
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## Dataset Usage
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Using 🤗 Datasets:
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csl.py
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@@ -3,11 +3,12 @@ import json
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import datasets
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_URLS = {
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"csl": "https://huggingface.co/datasets/neuclir/csl/resolve/main/data/csl.jsonl.gz"
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}
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class Csl(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("1.1.
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def _info(self):
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return datasets.DatasetInfo(
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paths = dl_manager.download(_URLS)
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return [
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datasets.SplitGenerator(
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name=
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gen_kwargs={
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-
"filepath": paths[
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})
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]
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def _generate_examples(self, filepath):
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import datasets
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_URLS = {
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"csl": "https://huggingface.co/datasets/neuclir/csl/resolve/main/data/csl.jsonl.gz",
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"en_translation": "https://huggingface.co/datasets/neuclir/csl/resolve/main/data/csl.gt.063023.jsonl.gz",
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}
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class Csl(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("1.1.1")
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def _info(self):
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return datasets.DatasetInfo(
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paths = dl_manager.download(_URLS)
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return [
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datasets.SplitGenerator(
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name=split,
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gen_kwargs={
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"filepath": paths[split],
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})
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for split in _URLS
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]
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def _generate_examples(self, filepath):
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data/csl.gt.063023.jsonl.gz
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a63ac70f6c5596fd77d3793585e68b2700bf0cd94aded3bcbe85dcc17e43628
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+
size 417782969
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