Zhangir Azerbayev commited on
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updatd readme

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  1. README.md +3 -3
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@@ -56,7 +56,7 @@ This dataset contains only the training set of the [MATH dataset](https://github
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  # Data Preprocessing
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  This section describes any significant filtering and transformations made to various subsets of the data.
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- **arXiv.math**
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  The arXiv.math dataset is large, heterogeneous, and contains a great deal of noise. We used the following heuristics
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  when choosing which files from arXiv.math source folders to include in the dataset:
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  - Keep only files with a `.tex` extension.
@@ -77,7 +77,7 @@ In addition, we apply the following transformations to arXiv.math texts:
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  In [this notebook](https://github.com/zhangir-azerbayev/proof-pile/blob/main/analysis/arxiv_noisedetection.ipynb), we provide an analysis of the prevalence of noisy documents in the arXiv.math subset of the
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  proof-pile.
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- **Stack Exchange**
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  We only include questions that have at least 5 upvotes and an answer. We format Stack Exchange posts as follows
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  ```
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  QUESTION [{num_upvotes} upvotes]: {text of question}
@@ -91,7 +91,7 @@ REPLY [{num_upvotes} votes]: {text of reply}
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  .
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  ```
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- **set.mm**
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  We converted `set.mm` into human-readable form by following the instructions in the [mm-extract repo](https://github.com/zhangir-azerbayev/mm-extract)
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  ## Contributions
 
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  # Data Preprocessing
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  This section describes any significant filtering and transformations made to various subsets of the data.
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+ **arXiv.math.**
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  The arXiv.math dataset is large, heterogeneous, and contains a great deal of noise. We used the following heuristics
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  when choosing which files from arXiv.math source folders to include in the dataset:
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  - Keep only files with a `.tex` extension.
 
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  In [this notebook](https://github.com/zhangir-azerbayev/proof-pile/blob/main/analysis/arxiv_noisedetection.ipynb), we provide an analysis of the prevalence of noisy documents in the arXiv.math subset of the
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  proof-pile.
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+ **Stack Exchange.**
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  We only include questions that have at least 5 upvotes and an answer. We format Stack Exchange posts as follows
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  ```
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  QUESTION [{num_upvotes} upvotes]: {text of question}
 
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  .
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  ```
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+ **set.mm.**
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  We converted `set.mm` into human-readable form by following the instructions in the [mm-extract repo](https://github.com/zhangir-azerbayev/mm-extract)
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  ## Contributions