Update README.md

README.md

@@ -1,3 +1,130 @@
 ---
 license: apache-2.0
+task_categories:
+- text-generation
+- text2text-generation
+- translation
+language:
+- en
+tags:
+- code
+pretty_name: BabelCode Transcoder
+size_categories:
+- 1K<n<10K
 ---
+# Dataset Card for BabelCode Transcoder
+
+## Dataset Description
+
+- **Repository:** [GitHub Repository](https://github.com/google-research/babelcode)
+- **Paper:** [Measuring The Impact Of Programming Language Distribution](https://arxiv.org/abs/2302.01973)
+
+### How To Use This Dataset
+
+To quickly evaluate BC-Transcoder predictions, save the `qid` and `language` keys along with the postprocessed prediction code in a JSON lines file. Then follow the install instructions for [BabelCode](https://github.com/google-research/babelcode), and you can evaluate your predictions. 
+
+### Dataset Summary
+
+The Transcoder dataset in BabelCode format. Currently supports translation from C++ and Python.
+
+### Supported Tasks and Leaderboards
+
+### Languages
+BC-Transcoder supports:
+* C++
+* C#
+* Dart
+* Go
+* Haskell
+* Java
+* Javascript
+* Julia
+* Kotlin
+* Lua
+* PHP
+* Python
+* R
+* Rust
+* Scala
+* TypeScript
+
+## Dataset Structure
+
+```python
+>>> from datasets import load_dataset
+>>> load_dataset("gabeorlanski/bc-transcoder")
+DatasetDict({
+    test: Dataset({
+        features: ['qid', 'title', 'language', 'text', 'signature_with_docstring', 'signature', 'arguments', 'entry_fn_name', 'entry_cls_name', 'test_code'],
+        num_rows: 2576
+    })
+})
+```
+
+### Data Fields
+
+- `qid`: The question ID used for running tests.
+- `title`: The title of the question.
+- `language`: The programming language of the example.
+- `text`: The description of the problem.
+- `signature`: The signature for the problem.
+- `signature_with_docstring`: The signature with the adequately formatted docstring for the given problem.
+- `arguments`: The arguments of the problem.
+- `entry_fn_name`: The function's name to use an entry point.
+- `entry_cls_name`: The class name to use an entry point.
+- `test_code`: The raw testing script used in the language. If you want to use this, replace `PLACEHOLDER_FN_NAME` (and `PLACEHOLDER_CLS_NAME` if needed) with the corresponding entry points. Next, replace `PLACEHOLDER_CODE_BODY` with the postprocessed prediction.  
+- `source_py`: The source solution in Python.
+- `source_cpp`: The source in C++.
+## Dataset Creation
+See section 2 of the [BabelCode Paper](https://arxiv.org/abs/2302.01973) to learn more about how the datasets are translated. 
+
+### Curation Rationale
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+#### Who are the source language producers?
+
+### Annotations
+
+#### Annotation process
+
+#### Who are the annotators?
+
+### Personal and Sensitive Information
+None.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+
+### Discussion of Biases
+
+### Other Known Limitations
+
+## Additional Information
+
+### Dataset Curators
+Google Research
+
+### Licensing Information
+CC-BY-4.0
+
+### Citation Information
+```
+@article{orlanski2023measuring,
+  title={Measuring The Impact Of Programming Language Distribution},
+  author={Orlanski, Gabriel and Xiao, Kefan and Garcia, Xavier and Hui, Jeffrey and Howland, Joshua and Malmaud, Jonathan and Austin, Jacob and Singh, Rishah and Catasta, Michele},
+  journal={arXiv preprint arXiv:2302.01973},
+  year={2023}
+}
+@article{roziere2020unsupervised,
+  title={Unsupervised translation of programming languages},
+  author={Roziere, Baptiste and Lachaux, Marie-Anne and Chanussot, Lowik and Lample, Guillaume},
+  journal={Advances in Neural Information Processing Systems},
+  volume={33},
+  year={2020}
+}
+```