release

README.md

@@ -96,34 +96,6 @@ dataset_info:
     num_examples: 15549682
   download_size: 16483899047
   dataset_size: 31219575534.38484
-- config_name: jupyter_scripts
-  features:
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-    dtype: string
-  - name: content
-    dtype: string
-  - name: path
-    dtype: string
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-    num_bytes: 40474200129.21856
-    num_examples: 3529416
-  download_size: 17513608795
-  dataset_size: 40474200129.21856
-- config_name: jupyter_structured
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-    dtype: string
-  - name: content
-    dtype: string
-  - name: path
-    dtype: string
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-    num_examples: 4252889
-  download_size: 16889239760
-  dataset_size: 39594556099.87017
 - config_name: kaggle
   features:
   - name: content
@@ -263,10 +235,8 @@ configs:
 
 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).
+- StackOverflow (`stackoverflow`): stackoverflow conversations from this [StackExchange 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.

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