Commit
•
010d14f
1
Parent(s):
6a22aaa
Convert dataset to Parquet (#3)
Browse files- Convert dataset to Parquet (3765d6ac9e6cf27c3e1d07fb8f977ad8c6a56d15)
- Add java data files (972b5e8cc1a52cc5fdf8851e1b53cdb87b10ee5f)
- Add javascript data files (3d703fa95c06b842ff23bd38757e0d9b93bac758)
- Add php data files (4e8958e4bffa36f60ec0d457ae0ffe68d57c6285)
- Add python data files (69c76bd134797b9eb8e04fda78b59bca8d1584c5)
- Add ruby data files (b282d2baeb493bd28d148c1def87834d04e6ffda)
- Delete loading script (8d11722d01fac5cecea22f923c6580f6dd2ebff5)
- Delete loading script auxiliary file (e1f2693c6bc4a3c64e6428366181345d83e589ee)
- Delete loading script auxiliary file (b4895ce7cde21d34ef265ad945eff187dff34f06)
- README.md +50 -25
- code_x_glue_cc_cloze_testing_all.py +0 -83
- common.py +0 -75
- generated_definitions.py +0 -68
- go/train-00000-of-00001.parquet +3 -0
- java/train-00000-of-00001.parquet +3 -0
- javascript/train-00000-of-00001.parquet +3 -0
- php/train-00000-of-00001.parquet +3 -0
- python/train-00000-of-00001.parquet +3 -0
- ruby/train-00000-of-00001.parquet +3 -0
README.md
CHANGED
@@ -20,6 +20,13 @@ task_categories:
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task_ids:
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- slot-filling
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pretty_name: CodeXGlueCcClozeTestingAll
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dataset_info:
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- config_name: go
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features:
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@@ -33,10 +40,10 @@ dataset_info:
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sequence: string
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splits:
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- name: train
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num_bytes:
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num_examples: 25282
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download_size:
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dataset_size:
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- config_name: java
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features:
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- name: id
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@@ -49,10 +56,10 @@ dataset_info:
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sequence: string
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splits:
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- name: train
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num_bytes:
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num_examples: 40492
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download_size:
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dataset_size:
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- config_name: javascript
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features:
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- name: id
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@@ -65,10 +72,10 @@ dataset_info:
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sequence: string
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splits:
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- name: train
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num_bytes:
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num_examples: 13837
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download_size:
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dataset_size:
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- config_name: php
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features:
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- name: id
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sequence: string
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splits:
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num_bytes:
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num_examples: 51930
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dataset_size:
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- config_name: python
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features:
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- name: id
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sequence: string
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splits:
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num_bytes:
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num_examples: 40137
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dataset_size:
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- config_name: ruby
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features:
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- name: id
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@@ -113,17 +120,35 @@ dataset_info:
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sequence: string
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splits:
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- name: train
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num_bytes:
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num_examples: 4437
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download_size:
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---
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# Dataset Card for "code_x_glue_cc_cloze_testing_all"
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task_ids:
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- slot-filling
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pretty_name: CodeXGlueCcClozeTestingAll
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config_names:
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- go
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- java
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- javascript
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- php
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- python
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- ruby
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dataset_info:
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- config_name: go
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features:
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sequence: string
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splits:
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- name: train
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num_bytes: 22409705
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num_examples: 25282
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download_size: 7317578
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dataset_size: 22409705
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- config_name: java
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features:
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- name: id
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sequence: string
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splits:
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- name: train
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num_bytes: 40392865
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num_examples: 40492
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download_size: 13540081
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dataset_size: 40392865
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- config_name: javascript
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features:
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- name: id
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sequence: string
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splits:
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- name: train
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num_bytes: 16090142
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num_examples: 13837
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download_size: 5380631
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dataset_size: 16090142
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- config_name: php
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features:
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- name: id
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sequence: string
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splits:
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- name: train
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num_bytes: 51328868
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num_examples: 51930
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download_size: 16553882
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dataset_size: 51328868
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- config_name: python
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features:
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- name: id
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sequence: string
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splits:
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num_bytes: 40631113
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num_examples: 40137
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download_size: 15081309
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dataset_size: 40631113
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- config_name: ruby
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features:
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- name: id
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sequence: string
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splits:
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- name: train
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num_bytes: 3454884
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num_examples: 4437
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download_size: 1301455
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dataset_size: 3454884
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configs:
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- config_name: go
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data_files:
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- split: train
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path: go/train-*
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- config_name: java
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data_files:
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- split: train
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path: java/train-*
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- config_name: javascript
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data_files:
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- split: train
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path: javascript/train-*
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- config_name: php
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data_files:
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- split: train
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path: php/train-*
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- config_name: python
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data_files:
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- split: train
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path: python/train-*
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- config_name: ruby
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data_files:
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- split: train
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path: ruby/train-*
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---
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# Dataset Card for "code_x_glue_cc_cloze_testing_all"
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code_x_glue_cc_cloze_testing_all.py
DELETED
@@ -1,83 +0,0 @@
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-
import json
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from typing import List
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import datasets
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from .common import Child
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from .generated_definitions import DEFINITIONS
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_DESCRIPTION = """Cloze tests are widely adopted in Natural Languages Processing to evaluate the performance of the trained language models. The task is aimed to predict the answers for the blank with the context of the blank, which can be formulated as a multi-choice classification problem.
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Here we present the two cloze testing datasets in code domain with six different programming languages: ClozeTest-maxmin and ClozeTest-all. Each instance in the dataset contains a masked code function, its docstring and the target word.
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The only difference between ClozeTest-maxmin and ClozeTest-all is their selected words sets, where ClozeTest-maxmin only contains two words while ClozeTest-all contains 930 words."""
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_CITATION = """@article{CodeXGLUE,
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title={CodeXGLUE: An Open Challenge for Code Intelligence},
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journal={arXiv},
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year={2020},
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}
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@article{feng2020codebert,
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title={CodeBERT: A Pre-Trained Model for Programming and Natural Languages},
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author={Feng, Zhangyin and Guo, Daya and Tang, Duyu and Duan, Nan and Feng, Xiaocheng and Gong, Ming and Shou, Linjun and Qin, Bing and Liu, Ting and Jiang, Daxin and others},
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journal={arXiv preprint arXiv:2002.08155},
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year={2020}
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}
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@article{husain2019codesearchnet,
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title={CodeSearchNet Challenge: Evaluating the State of Semantic Code Search},
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author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
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journal={arXiv preprint arXiv:1909.09436},
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year={2019}
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}"""
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class CodeXGlueCcClozeTestingImpl(Child):
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_DESCRIPTION = _DESCRIPTION
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_CITATION = _CITATION
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_FEATURES = {
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"id": datasets.Value("int32"), # Index of the sample
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"idx": datasets.Value("string"), # Original index in the dataset
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"nl_tokens": datasets.features.Sequence(datasets.Value("string")), # Natural language tokens
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"pl_tokens": datasets.features.Sequence(datasets.Value("string")), # Programming language tokens
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}
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def generate_urls(self, split_name):
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yield "data", "clozeTest.json"
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def _generate_examples(self, split_name, file_paths):
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with open(file_paths["data"], encoding="utf-8") as f:
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j = json.load(f)
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index = 0
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for entry in j:
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yield index, dict(
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id=index, idx=entry["idx"], nl_tokens=entry["nl_tokens"], pl_tokens=entry["pl_tokens"]
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)
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index += 1
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CLASS_MAPPING = {
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"CodeXGlueCcClozeTestingAll": CodeXGlueCcClozeTestingImpl,
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}
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class CodeXGlueCcClozeTestingAll(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIG_CLASS = datasets.BuilderConfig
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name=name, description=info["description"]) for name, info in DEFINITIONS.items()
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]
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def _info(self):
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name = self.config.name
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info = DEFINITIONS[name]
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if info["class_name"] in CLASS_MAPPING:
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self.child = CLASS_MAPPING[info["class_name"]](info)
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else:
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raise RuntimeError(f"Unknown python class for dataset configuration {name}")
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ret = self.child._info()
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return ret
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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return self.child._split_generators(dl_manager=dl_manager)
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def _generate_examples(self, split_name, file_paths):
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return self.child._generate_examples(split_name, file_paths)
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common.py
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from typing import List
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import datasets
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# Citation, taken from https://github.com/microsoft/CodeXGLUE
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_DEFAULT_CITATION = """@article{CodeXGLUE,
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title={CodeXGLUE: A Benchmark Dataset and Open Challenge for Code Intelligence},
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year={2020},}"""
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class Child:
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_DESCRIPTION = None
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_FEATURES = None
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_CITATION = None
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SPLITS = {"train": datasets.Split.TRAIN}
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_SUPERVISED_KEYS = None
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def __init__(self, info):
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self.info = info
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def homepage(self):
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return self.info["project_url"]
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def _info(self):
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# This is the description that will appear on the datasets page.
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return datasets.DatasetInfo(
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description=self.info["description"] + "\n\n" + self._DESCRIPTION,
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features=datasets.Features(self._FEATURES),
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homepage=self.homepage(),
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citation=self._CITATION or _DEFAULT_CITATION,
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supervised_keys=self._SUPERVISED_KEYS,
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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SPLITS = self.SPLITS
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_URL = self.info["raw_url"]
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urls_to_download = {}
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for split in SPLITS:
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if split not in urls_to_download:
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urls_to_download[split] = {}
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for key, url in self.generate_urls(split):
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if not url.startswith("http"):
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url = _URL + "/" + url
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urls_to_download[split][key] = url
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downloaded_files = {}
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for k, v in urls_to_download.items():
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downloaded_files[k] = dl_manager.download_and_extract(v)
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return [
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datasets.SplitGenerator(
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name=SPLITS[k],
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gen_kwargs={"split_name": k, "file_paths": downloaded_files[k]},
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)
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for k in SPLITS
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]
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def check_empty(self, entries):
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all_empty = all([v == "" for v in entries.values()])
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all_non_empty = all([v != "" for v in entries.values()])
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if not all_non_empty and not all_empty:
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raise RuntimeError("Parallel data files should have the same number of lines.")
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return all_empty
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class TrainValidTestChild(Child):
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SPLITS = {
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"train": datasets.Split.TRAIN,
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"valid": datasets.Split.VALIDATION,
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"test": datasets.Split.TEST,
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}
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generated_definitions.py
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DEFINITIONS = {
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"go": {
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"class_name": "CodeXGlueCcClozeTestingAll",
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"dataset_type": "Code-Code",
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"description": "CodeXGLUE ClozeTesting-all dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/ClozeTesting-all",
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"dir_name": "ClozeTesting-all",
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"name": "go",
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"parameters": {"language": "go"},
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"project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Code/ClozeTesting-all",
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"raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Code/ClozeTesting-all/data/cloze-all/go",
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"sizes": {"train": 25282},
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},
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"java": {
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"class_name": "CodeXGlueCcClozeTestingAll",
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"dataset_type": "Code-Code",
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16 |
-
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|
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|
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|
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|
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|
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|
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|
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