Update README.md

README.md

@@ -170,20 +170,6 @@ dataset_info:
     num_examples: 6315233
   download_size: 27160071916
   dataset_size: 56294728333.0
-- config_name: pull_requests
-  features:
-  - name: content
-    dtype: string
-  - name: guid
-    dtype: string
-  - name: ctx-size
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 52871142902.97541
-    num_examples: 2555843
-  download_size: 16638673686
-  dataset_size: 52871142902.97541
 - config_name: stackoverflow
   features:
   - name: date
@@ -263,10 +249,6 @@ configs:
   data_files:
   - split: train
     path: owm/train-*
-- config_name: pull_requests
-  data_files:
-  - split: train
-    path: pull_requests/train-*
 - config_name: stackoverflow
   data_files:
   - split: train
@@ -277,21 +259,29 @@ configs:
     path: wikipedia/train-*
 ---
 
-# StarCoder2data extras
+# StarCoder2 Extras
+
+This is the dataset of extra sources (besides Stack v2 code data) used to train the StarCoder2 family of models. It contains the following subsets:
+
+- Jupyter Scripts (`jupyter_scripts`): Jupyter notebooks from The Stack v2 converted to scripts.
+- Jupyter Structured (`jupyter_structured`): Jupyter notebooks from The Stack v2 converted to a structured format of code, markdown & output cells.
+- Kaggle (`kaggle`): Kaggle notebooks from [Meta-Kaggle-Code](https://www.kaggle.com/datasets/kaggle/meta-kaggle-code) dataset, converted to scripts and prefixed with information on the Kaggle datasets used in the notebook. The file headers have a similar format to Jupyter Structured but the code content is only one single script.
+- StackOverflow (`stackoverflow`)): stackoverflow conversations from this [StackExchnage dump](https://archive.org/details/stackexchange).
+- Issues (`issues`): processed GitHub issues, same as the Stack v1 issues.
+- OWM (`owm`): the [Open-Web-Math](https://huggingface.co/datasets/open-web-math/open-web-math) dataset.
+- LHQ (`lhq`): Leandro's High quality dataset, it is a compilation of high quality code files from: APPS-train, CodeContests, GSM8K-train, GSM8K-SciRel, DeepMind-Mathematics, Rosetta-Code, MultiPL-T, ProofSteps, ProofSteps-lean.
+- Wiki (`wikipedia`): the English subset of the Wikipedia dump in [RedPajama](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T).
+- ArXiv (`arxiv`): the ArXiv subset of [RedPajama](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) dataset, further processed the dataset only to retain latex source files and remove preambles, comments, macros, and bibliographies from these files.
+- IR_language (`ir_cpp`, `ir_low_resource`, `ir_python`, `ir_rust`): these are intermediate representations of Python, Rust, C++ and other low resource languages.
+- Documentation (`documentation`): documentation of popular libraries.
+
+For more details on the processing of each subset, check the [StarCoder2 paper](https://arxiv.org/abs/2402.19173) or The Stack v2 [GitHub repository](https://github.com/bigcode-project/the-stack-v2/).
 
-This is the dataset of extra sources (different from pure Stack v2 code) used to train the StarCoder2 family of models. It contains the following subsets:
+## Usage 
 
-- Jupyter Scripts: Jupyter notebooks from The Stack v2 converted to scripts.
-- Jupyter Structured: Jupyter notebooks from The Stack v2 converted to a structured format of code, markdown & output cells.
-- Kaggle: Kaggle notebooks from [Meta-Kaggle-Code](https://www.kaggle.com/datasets/kaggle/meta-kaggle-code) dataset, converted to scripts and prefixed with information on the Kaggle datasets used in the notebook. The file headers have a similar format to Jupyter Structured but the code content is only one single script.
-- Pull Requests: processed GitHub Pull Requests.
-- StackOverflow: stackoverflow conversations from this [StackExchnage dump}(https://archive.org/details/stackexchange).
-- Issues: processed GitHub issues.
-- Owm: [Open-Web-math](https://huggingface.co/datasets/open-web-math/open-web-math) dataset.
-- LHQ: Leandro's High quality dataset, it is a compilation of high quality code files from: APPS-train, CodeContests, GSM8K-train, GSM8K-SciRel, DeepMind-Mathematics, Rosetta-Code, MultiPL-T, ProofSteps, ProofSteps-lean.
-- Wiki: the english subset of the wikipedia dump in [RedPajama](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T).
-- Arxiv: Arxiv subset of [RedPajama](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) dataset, further processed the dataset only to retain latex source files and remove preambles, comments, macros, and bibliographies from these files.
-- IR_language: these are intermediate representations of Python, Rust, C++ and other low resource languages.
-- Documentation: documentation of popular libraries.
+```python
+from datasets import load_dataset
 
-For more details on the processing of each subset, check the StarCoder2 paper or The Stack v2 [GitHub repository](https://github.com/bigcode-project/the-stack-v2/).
+# replace `jupyter_scripts` with one of the config names listed above
+ds = load_dataset("bigcode/starcoder2data-extras", "jupyter_scripts", split="train")
+```