Datasets:

google
/

code_x_glue_tt_text_to_text

@@ -134,6 +134,7 @@ dataset_info:
 ## Dataset Description
 - **Homepage:** https://github.com/microsoft/CodeXGLUE/tree/main/Text-Text/text-to-text
 ### Dataset Summary
@@ -275,9 +276,35 @@ Computational Use of Data Agreement (C-UDA) License.
 ### Citation Information
 ```
-@article{CodeXGLUE,
-         title={CodeXGLUE: A Benchmark Dataset and Open Challenge for Code Intelligence},
-         year={2020},}
 ```
 ### Contributions

 ## Dataset Description
 - **Homepage:** https://github.com/microsoft/CodeXGLUE/tree/main/Text-Text/text-to-text
+- **Paper:** https://arxiv.org/abs/2102.04664
 ### Dataset Summary
 ### Citation Information
 ```
+@article{DBLP:journals/corr/abs-2102-04664,
+  author    = {Shuai Lu and
+               Daya Guo and
+               Shuo Ren and
+               Junjie Huang and
+               Alexey Svyatkovskiy and
+               Ambrosio Blanco and
+               Colin B. Clement and
+               Dawn Drain and
+               Daxin Jiang and
+               Duyu Tang and
+               Ge Li and
+               Lidong Zhou and
+               Linjun Shou and
+               Long Zhou and
+               Michele Tufano and
+               Ming Gong and
+               Ming Zhou and
+               Nan Duan and
+               Neel Sundaresan and
+               Shao Kun Deng and
+               Shengyu Fu and
+               Shujie Liu},
+  title     = {CodeXGLUE: {A} Machine Learning Benchmark Dataset for Code Understanding
+               and Generation},
+  journal   = {CoRR},
+  volume    = {abs/2102.04664},
+  year      = {2021}
+}
 ```
 ### Contributions

common.py CHANGED Viewed

@@ -47,7 +47,7 @@ class Child:
         downloaded_files = {}
         for k, v in urls_to_download.items():
-            downloaded_files[k] = dl_manager.download_and_extract(v)
         return [
             datasets.SplitGenerator(

         downloaded_files = {}
         for k, v in urls_to_download.items():
+            downloaded_files[k] = dl_manager.download(v)
         return [
             datasets.SplitGenerator(

dataset_infos.json DELETED Viewed

@@ -1 +0,0 @@

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Clement and\n Dawn Drain and\n Daxin Jiang and\n Duyu Tang and\n Ge Li and\n Lidong Zhou and\n Linjun Shou and\n Long Zhou and\n Michele Tufano and\n Ming Gong and\n Ming Zhou and\n Nan Duan and\n Neel Sundaresan and\n Shao Kun Deng and\n Shengyu Fu and\n Shujie Liu},\n title = {CodeXGLUE: {A} Machine Learning Benchmark Dataset for Code Understanding\n and Generation},\n journal = {CoRR},\n volume = {abs/2102.04664},\n year = {2021}\n}", "homepage": "https://github.com/madlag/CodeXGLUE/tree/main/Text-Text/text-to-text", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "target", "output": ""}, "task_templates": null, "builder_name": "code_x_glue_tt_text_to_text", "config_name": "da_en", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 8163215, "num_examples": 42701, "dataset_name": "code_x_glue_tt_text_to_text"}, "validation": {"name": "validation", "num_bytes": 190340, "num_examples": 1000, "dataset_name": "code_x_glue_tt_text_to_text"}, "test": {"name": "test", "num_bytes": 190780, "num_examples": 1000, "dataset_name": "code_x_glue_tt_text_to_text"}}, "download_checksums": {"https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Text/text-to-text/data/train/da-en.train.da": {"num_bytes": 4371929, "checksum": "4b62e847011e2c13126f179f6f75c0ea4692ae24638872fe352af70864e98c6b"}, "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Text/text-to-text/data/train/da-en.train.en": {"num_bytes": 3278834, "checksum": "b9f3253f0f19b036b75637b94c7fd96afd358ea5c104ff97dfd543b8722bef3d"}, "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Text/text-to-text/data/dev/da-en.dev.da": {"num_bytes": 101626, "checksum": "522e3896d36d360a2cfe819c680f593f19902fd9d35a7bb5c340e3dfcc637294"}, "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Text/text-to-text/data/dev/da-en.dev.en": {"num_bytes": 76706, "checksum": "fe1c304bebe346ee0076e51c9ac77edbad2a82f19c870e8c8d503f1114c9c925"}, "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Text/text-to-text/data/test/da-en.test.da": {"num_bytes": 101374, "checksum": "2bb8a734242c0ee89559a2d9166f74df60259a0ec09b99a6091cff53001bfa94"}, "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Text/text-to-text/data/test/da-en.test.en": {"num_bytes": 77398, "checksum": "850e36c666a8a4adce9bec78065503af8b619e76f8ce29e1be52b7da249b3eac"}}, "download_size": 8007867, "post_processing_size": null, "dataset_size": 8544335, "size_in_bytes": 16552202}, "lv_en": {"description": "CodeXGLUE text-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Text-Text/text-to-text\n\nThe dataset we use is crawled and filtered from Microsoft Documentation, whose document located at https://github.com/MicrosoftDocs/.", "citation": "@article{DBLP:journals/corr/abs-2102-04664,\n author = {Shuai Lu and\n Daya Guo and\n Shuo Ren and\n Junjie Huang and\n Alexey Svyatkovskiy and\n Ambrosio Blanco and\n Colin B. 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