Datasets:

Tasks:
Other
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
machine-generated
Annotations Creators:
no-annotation
Source Datasets:
original
License:
albertvillanova HF staff commited on
Commit
ed2e191
1 Parent(s): 480e8b1

Delete legacy JSON metadata (#2)

Browse files

- Delete legacy JSON metadata (63f59ac26116eba69add2980ba06b272e903bf27)

Files changed (1) hide show
  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
@@ -1 +0,0 @@
1
- {"eth_py150_open": {"description": "A redistributable subset of the ETH Py150 corpus, introduced in the ICML 2020 paper 'Learning and Evaluating Contextual Embedding of Source Code'\n", "citation": "@inproceedings{kanade2020learning,\n title={Learning and Evaluating Contextual Embedding of Source Code},\n author={Kanade, Aditya and Maniatis, Petros and Balakrishnan, Gogul and Shi, Kensen},\n booktitle={International Conference on Machine Learning},\n pages={5110--5121},\n year={2020},\n organization={PMLR}\n}\n", "homepage": "https://github.com/google-research-datasets/eth_py150_open", "license": "Apache License, Version 2.0", "features": {"filepath": {"dtype": "string", "id": null, "_type": "Value"}, "license": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "filepath", "output": "license"}, "builder_name": "eth_py150_open", "config_name": "eth_py150_open", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5414978, "num_examples": 74749, "dataset_name": "eth_py150_open"}, "test": {"name": "test", "num_bytes": 3006199, "num_examples": 41457, "dataset_name": "eth_py150_open"}, "validation": {"name": "validation", "num_bytes": 598524, "num_examples": 8302, "dataset_name": "eth_py150_open"}}, "download_checksums": {"https://raw.githubusercontent.com/google-research-datasets/eth_py150_open/master/train__manifest.json": {"num_bytes": 8330299, "checksum": "faa632baf3a3e3ba234cc917dacd07fb646995990c930c6b86598d4d10484ce9"}, "https://raw.githubusercontent.com/google-research-datasets/eth_py150_open/master/dev__manifest.json": {"num_bytes": 922321, "checksum": "974426ff7448e7afd1fd26375814b264132b3eb62d4a995458c23f36857b4821"}, "https://raw.githubusercontent.com/google-research-datasets/eth_py150_open/master/eval__manifest.json": {"num_bytes": 4623051, "checksum": "b9a3235cb7457dac4bbb0cb7b31bc39186d78c318ec82c376bf1b61e66868554"}}, "download_size": 13875671, "post_processing_size": null, "dataset_size": 9019701, "size_in_bytes": 22895372}}