Updated readme

README.md

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 license: mit
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+
+### Dataset is imported from CodeXGLUE and pre-processed using their script.
+
+# Where to find in Semeru:
+The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-text/go in Semeru
+
+
+# CodeXGLUE -- Code-To-Text
+
+## Task Definition
+
+The task is to generate natural language comments for a code, and evaluted by [smoothed bleu-4](https://www.aclweb.org/anthology/C04-1072.pdf) score.
+
+## Dataset
+
+The dataset we use comes from [CodeSearchNet](https://arxiv.org/pdf/1909.09436.pdf) and we filter the dataset as the following:
+
+- Remove examples that codes cannot be parsed into an abstract syntax tree.
+- Remove examples that #tokens of documents is < 3 or >256
+- Remove examples that documents contain special tokens (e.g. <img ...> or https:...)
+- Remove examples that documents are not English.
+
+
+### Data Format
+
+After preprocessing dataset, you can obtain three .jsonl files, i.e. train.jsonl, valid.jsonl, test.jsonl
+
+For each file, each line in the uncompressed file represents one function.  One row is illustrated below.
+
+  - **repo:** the owner/repo
+
+  - **path:** the full path to the original file
+
+  - **func_name:** the function or method name
+
+  - **original_string:** the raw string before tokenization or parsing
+
+  - **language:** the programming language
+
+  - **code/function:** the part of the `original_string` that is code
+
+  - **code_tokens/function_tokens:** tokenized version of `code`
+
+  - **docstring:** the top-level comment or docstring, if it exists in the original string
+
+  - **docstring_tokens:** tokenized version of `docstring`
+
+### Data Statistic
+
+| Programming Language | Training |  Dev   |  Test  |
+| :------------------- | :------: | :----: | :----: |
+| Python               | 251,820  | 13,914 | 14,918 |
+| PHP                  | 241,241  | 12,982 | 14,014 |
+| Go                   | 167,288  | 7,325  | 8,122  |
+| Java                 | 164,923  | 5,183  | 10,955 |
+| JavaScript           |  58,025  | 3,885  | 3,291  |
+| Ruby                 |  24,927  | 1,400  | 1,261  |
+
+## Reference
+<pre><code>@article{husain2019codesearchnet,
+  title={Codesearchnet challenge: Evaluating the state of semantic code search},
+  author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
+  journal={arXiv preprint arXiv:1909.09436},
+  year={2019}
+}</code></pre>