Update README.md

README.md

@@ -1,9 +1,4 @@
 ---
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
 dataset_info:
   features:
   - name: repo
@@ -24,9 +19,81 @@ dataset_info:
   - name: train
     num_bytes: 12984199778
     num_examples: 1415924
-  download_size: 4029701352
+  download_size: 4073853616
   dataset_size: 12984199778
+license: bigcode-openrail-m
+task_categories:
+- text-generation
+language:
+- en
+pretty_name: arxiv_python_research_code
+size_categories:
+- 1B<n<10B
 ---
-# Dataset Card for "g_arxiv_python_research_code"
+# Dataset Card for "ArtifactAI/arxiv_python_research_code"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Dataset Description
+
+https://huggingface.co/datasets/ArtifactAI/arxiv_python_research_code
+
+
+### Dataset Summary
+
+ArtifactAI/arxiv_python_research_code contains over 4.13GB of  source code files referenced strictly in ArXiv papers. The dataset serves as a curated dataset for Code LLMs.
+
+### How to use it
+```python
+from datasets import load_dataset
+
+# full dataset (4.13GB of data)
+ds = load_dataset("ArtifactAI/arxiv_python_research_code", split="train")
+
+# dataset streaming (will only download the data as needed)
+ds = load_dataset("ArtifactAI/arxiv_python_research_code", streaming=True, split="train")
+for sample in iter(ds): print(sample["code"])
+```
+
+## Dataset Structure
+### Data Instances
+Each data instance corresponds to one file. The content of the file is in the `code` feature, and other features (`repo`, `file`, etc.) provide some metadata.
+### Data Fields
+- `repo` (string): code repository name.
+- `file` (string): file path in the repository.
+- `code` (string): code within the file.
+- `file_length`: (integer): number of characters in the file.
+- `avg_line_length`: (float): the average line-length of the file.
+- `max_line_length`: (integer): the maximum line-length of the file.
+- `extension_type`: (string): file extension.
+
+### Data Splits
+
+The dataset has no splits and all data is loaded as train split by default.
+
+## Dataset Creation
+
+### Source Data
+#### Initial Data Collection and Normalization
+34,099 active GitHub repository names were extracted from [ArXiv](https://arxiv.org/) papers from its inception through July 21st, 2023 totaling 773G of compressed github repositories.
+
+These repositories were then filtered, and the code from each '.py' file extension was extracted into 1.4 million files.
+
+#### Who are the source language producers?
+
+The source (code) language producers are users of GitHub that created unique repository
+
+### Personal and Sensitive Information
+The released dataset may contain sensitive information such as emails, IP addresses, and API/ssh keys that have previously been published to public repositories on GitHub. 
+
+## Additional Information
+
+### Dataset Curators
+Matthew Kenney, Artifact AI, [email protected]
+
+### Citation Information
+```
+@misc{arxiv_python_research_code,
+    title={arxiv_python_research_code},
+    author={Matthew Kenney},
+    year={2023}
+}
+```