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diff --git a/github-code-stats-alpha.png b/github-code-stats-alpha.png
deleted file mode 100644
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Binary files a/github-code-stats-alpha.png and /dev/null differ
diff --git a/github_preprocessing.py b/github_preprocessing.py
deleted file mode 100644
index e934296077caf8b4ffcedacedaba1e954a6e6a18..0000000000000000000000000000000000000000
--- a/github_preprocessing.py
+++ /dev/null
@@ -1,146 +0,0 @@
-import gzip
-import multiprocessing
-import os
-import shutil
-import time
-from argparse import Namespace
-from collections import Counter
-import numpy as np
-from datasets import load_dataset, utils
-import re
-from huggingface_hub import Repository
-from multiprocessing import Pool
-from tqdm import tqdm
-
-# Settings
-config = {
-    "dataset_name": "./data/github",
-    "num_workers": 96,
-    "line_max": 1000,
-    "out_path": "./data/github-code",
-    "repo_name": "github-code",
-    "org": "lvwerra",
-    "shard_size": 1000 << 20}
-
-args = Namespace(**config)
-
-PATTERN = re.compile(r'\s+')
-
-
-def hash_func(text):
-    return hashlib.md5(re.sub(PATTERN, '', text).encode("utf-8")).hexdigest()
-
-def get_hash(example):
-    """Get hash of content field."""
-    return {"hash": hash_func(example["content"])}
-
-
-def line_stats(example):
-    """Calculates mean and max line length of file."""
-    line_lengths = [len(line) for line in example["content"].splitlines()]
-    return {"line_mean": np.mean(line_lengths), "line_max": max(line_lengths)}
-
-
-def alpha_stats(example):
-    """Calculates mean and max line length of file."""
-    alpha_frac = np.mean([c.isalnum() for c in example["content"]])
-    return {"alpha_frac": alpha_frac}
-
-
-def check_uniques(example, uniques):
-    """Check if current hash is still in set of unique hashes and remove if true."""
-    if example["hash"] in uniques:
-        uniques.remove(example["hash"])
-        return True
-    else:
-        return False
-
-
-def is_autogenerated(example, scan_width=5):
-    """Check if file is autogenerated by looking for keywords in the first few lines of the file."""
-    keywords = ["auto-generated", "autogenerated", "automatically generated"]
-    lines = example["content"].splitlines()
-    for _, line in zip(range(scan_width), lines):
-        for keyword in keywords:
-            if keyword in line.lower():
-                return {"autogenerated": True}
-    else:
-        return {"autogenerated": False}
-
-
-def preprocess(example):
-    """Chain all preprocessing steps into one function to not fill cache."""
-    results = dict()
-    results.update(get_hash(example))
-    results.update(line_stats(example))
-    return results
-
-
-def filter(example, uniques, args):
-    """Filter dataset with heuristics."""
-    if not check_uniques(example, uniques):
-        return False
-    elif example["line_max"] > args.line_max:
-        return False
-    else:
-        return True
-    
-def save_shard(shard_tuple):
-    """Save shard"""
-    filename, shard = shard_tuple
-    shard.to_parquet(filename)
-
-# Load dataset
-t_start = time.time()
-ds = load_dataset(args.dataset_name, split="train", chunksize=40<<20)
-print(f"Time to load dataset: {time.time()-t_start:.2f}")
-
-# Run preprocessing
-t_start = time.time()
-ds = ds.map(preprocess, num_proc=args.num_workers)
-print(f"Time to preprocess dataset: {time.time()-t_start:.2f}")
-print(ds)
-
-# Deduplicate hashes
-uniques = set(ds.unique("hash"))
-frac = len(uniques) / len(ds)
-print(f"Fraction of duplicates: {1-frac:.2%}")
-
-# Deduplicate data and apply heuristics
-t_start = time.time()
-ds = ds.filter(filter, fn_kwargs={"uniques": uniques, "args": args})
-ds = ds.remove_columns(["line_mean", "line_max", "copies", "hash"])
-print(f"Time to filter dataset: {time.time()-t_start:.2f}")
-print(f"Size of filtered dataset: {len(ds)}")
-
-
-# Save dataset in repo
-repo = Repository(
-        local_dir=args.out_path,
-        clone_from=args.org + "/" + args.repo_name,
-        repo_type="dataset",
-        private=True,
-        use_auth_token=True,
-        git_user="lvwerra",
-        git_email="leandro.vonwerra@gmail.com",
-        )
-
-os.mkdir(args.out_path + "/data")
-
-if ds._indices is not None:
-    dataset_nbytes = ds.data.nbytes * len(ds._indices) / len(ds.data)
-else:
-    dataset_nbytes = ds.data.nbytes
-
-num_shards = int(dataset_nbytes / args.shard_size) + 1
-print(f"Number of shards: {num_shards}")
-
-t_start = time.time()
-shards = (ds.shard(num_shards=num_shards, index=i, contiguous=True) for i in range(num_shards))
-filenames = (f"{args.out_path}/data/train-{index:05d}-of-{num_shards:05d}.parquet" for index in range(num_shards))
-
-with Pool(16) as p:
-    list(tqdm(p.imap_unordered(save_shard, zip(filenames, shards), chunksize=4), total=num_shards))
-print(f"Time to save dataset: {time.time()-t_start:.2f}")
-
-# To push to hub run `git add/commit/push` inside dataset repo folder
\ No newline at end of file
diff --git a/query.sql b/query.sql
deleted file mode 100644
index 636a568379a499521553a3643338a4bdbabb4c0e..0000000000000000000000000000000000000000
--- a/query.sql
+++ /dev/null
@@ -1,84 +0,0 @@
-SELECT
-  f.repo_name,
-  f.path,
-  c.copies,
-  c.size,
-  c.content,
-  l.license
-FROM
- (select f.*, row_number() over (partition by id order by path desc) as seqnum
-      from `bigquery-public-data.github_repos.files` AS f) f
-JOIN
-  `bigquery-public-data.github_repos.contents` AS c
-ON
-  f.id = c.id AND seqnum=1
-JOIN
-  `bigquery-public-data.github_repos.licenses` AS l
-ON
-  f.repo_name = l.repo_name
-WHERE
-  NOT c.binary
-  AND ((f.path LIKE '%.asm'
-      OR f.path LIKE '%.bat'
-      OR f.path LIKE '%.cmd'
-      OR f.path LIKE '%.c'
-      OR f.path LIKE '%.h'
-      OR f.path LIKE '%.cs'
-      OR f.path LIKE '%.cpp'
-      OR f.path LIKE '%.hpp'
-      OR f.path LIKE '%.c++'
-      OR f.path LIKE '%.h++'
-      OR f.path LIKE '%.cc'
-      OR f.path LIKE '%.hh'
-      OR f.path LIKE '%.C'
-      OR f.path LIKE '%.H'
-      OR f.path LIKE '%.cmake'
-      OR f.path LIKE '%.css'
-      OR f.path LIKE '%.dockerfile'
-      OR f.path LIKE '%.f90'
-      OR f.path LIKE '%.f'
-      OR f.path LIKE '%.f03'
-      OR f.path LIKE '%.f08'
-      OR f.path LIKE '%.f77'
-      OR f.path LIKE '%.f95'
-      OR f.path LIKE '%.for'
-      OR f.path LIKE '%.fpp'
-      OR f.path LIKE '%.go'
-      OR f.path LIKE '%.hs'
-      OR f.path LIKE '%.html'
-      OR f.path LIKE '%.java'
-      OR f.path LIKE '%.js'
-      OR f.path LIKE '%.jl'
-      OR f.path LIKE '%.lua'
-      OR f.path LIKE '%.md'
-      OR f.path LIKE '%.markdown'
-      OR f.path LIKE '%.php'
-      OR f.path LIKE '%.php3'
-      OR f.path LIKE '%.php4'
-      OR f.path LIKE '%.php5'
-      OR f.path LIKE '%.phps'
-      OR f.path LIKE '%.phpt'
-      OR f.path LIKE '%.pl'
-      OR f.path LIKE '%.pm'
-      OR f.path LIKE '%.pod'
-      OR f.path LIKE '%.perl'
-      OR f.path LIKE '%.ps1'
-      OR f.path LIKE '%.psd1'
-      OR f.path LIKE '%.psm1'
-      OR f.path LIKE '%.py'
-      OR f.path LIKE '%.rb'
-      OR f.path LIKE '%.rs'
-      OR f.path LIKE '%.sql'
-      OR f.path LIKE '%.scala'
-      OR f.path LIKE '%.sh'
-      OR f.path LIKE '%.bash'
-      OR f.path LIKE '%.command'
-      OR f.path LIKE '%.zsh'
-      OR f.path LIKE '%.ts'
-      OR f.path LIKE '%.tsx'
-      OR f.path LIKE '%.tex'
-      OR f.path LIKE '%.vb'
-      OR f.path LIKE '%Dockerfile'
-      OR f.path LIKE '%Makefile')
-    AND (c.size BETWEEN 0
-      AND 1048575))
\ No newline at end of file