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.gitattributes

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+*.pcm filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+source_datasets: bigcode/the-stack-smol-xl
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+- config_name: original
+  data_files:
+  - split: train
+    path: original/train-*
+dataset_info:
+- config_name: default
+  features:
+  - name: size
+    dtype: int64
+  - name: ext
+    dtype: string
+  - name: lang
+    dtype: string
+  - name: max_stars_repo_name
+    dtype: string
+  - name: max_stars_repo_licenses
+    sequence: string
+  - name: max_stars_count
+    dtype: float64
+  - name: max_issues_repo_name
+    dtype: string
+  - name: max_issues_repo_licenses
+    sequence: string
+  - name: max_issues_count
+    dtype: float64
+  - name: max_forks_repo_name
+    dtype: string
+  - name: max_forks_repo_licenses
+    sequence: string
+  - name: max_forks_count
+    dtype: float64
+  - name: text
+    dtype: string
+  - name: avg_line_length
+    dtype: float64
+  - name: max_line_length
+    dtype: int64
+  - name: alphanum_fraction
+    dtype: float64
+  - name: code_readability
+    dtype: float64
+  - name: token_len
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 1138355923.3692224
+    num_examples: 205173
+  download_size: 394010253
+  dataset_size: 1138355923.3692224
+- config_name: original
+  features:
+  - name: size
+    dtype: int64
+  - name: ext
+    dtype: string
+  - name: lang
+    dtype: string
+  - name: max_stars_repo_name
+    dtype: string
+  - name: max_stars_repo_licenses
+    sequence: string
+  - name: max_stars_count
+    dtype: float64
+  - name: max_issues_repo_name
+    dtype: string
+  - name: max_issues_repo_licenses
+    sequence: string
+  - name: max_issues_count
+    dtype: float64
+  - name: max_forks_repo_name
+    dtype: string
+  - name: max_forks_repo_licenses
+    sequence: string
+  - name: max_forks_count
+    dtype: float64
+  - name: text
+    dtype: string
+  - name: avg_line_length
+    dtype: float64
+  - name: max_line_length
+    dtype: int64
+  - name: alphanum_fraction
+    dtype: float64
+  - name: code_readability
+    dtype: float64
+  splits:
+  - name: train
+    num_bytes: 1210173023
+    num_examples: 218432
+  download_size: 401845994
+  dataset_size: 1210173023
+license: odc-by
+---
+# Dataset Card for "the-stack-smol-xl-readable"
+
+
+[Filtered](https://gist.github.com/pszemraj/60de22b09e9c91a16443519a1741e0c0) for 'readability' 0.8 and greater. ~560M llama2 tokens
+
+columns:
+
+```
+{'train': ['size',
+           'ext',
+           'lang',
+           'max_stars_repo_name',
+           'max_stars_repo_licenses',
+           'max_stars_count',
+           'max_issues_repo_name',
+           'max_issues_repo_licenses',
+           'max_issues_count',
+           'max_forks_repo_name',
+           'max_forks_repo_licenses',
+           'max_forks_count',
+           'text',
+           'avg_line_length',
+           'max_line_length',
+           'alphanum_fraction',
+           'code_readability']}
+```
+
+## stats
+
+
+### readability index
+
+|       |   code_readability |
+|:------|-------------------:|
+| count |     218432         |
+| mean  |          0.840515  |
+| std   |          0.0288337 |
+| min   |          0.8       |
+| 25%   |          0.816354  |
+| 50%   |          0.836042  |
+| 75%   |          0.863379  |
+| max   |          0.987153  |
+
+
+
+### tokens
+
+llama2
+
+```
+token_len
+count  205173.000000
+mean     2654.322581
+std     18141.069771
+min        33.000000
+25%       166.000000
+50%       390.000000
+75%      1078.000000
+max    686163.000000
+```

calculate_code_readability.py

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+import re
+from itertools import chain
+
+
+def calculate_readability(code_string:str) -> float:
+    code = code_string.splitlines()
+
+    # Heuristic 1: Line length
+    max_line_length = 80
+    long_lines = sum(1 for line in code if len(line) > max_line_length)
+    long_line_ratio = long_lines / len(code)
+
+    # Heuristic 2: Identifier length
+    min_identifier_length = 2
+    max_identifier_length = 20
+    identifiers = re.findall(r"\b[a-zA-Z_][a-zA-Z0-9_]*\b", " ".join(code))
+    short_identifiers = sum(1 for id in identifiers if len(id) < min_identifier_length)
+    long_identifiers = sum(1 for id in identifiers if len(id) > max_identifier_length)
+    bad_identifier_ratio = (
+        (short_identifiers + long_identifiers) / len(identifiers) if identifiers else 0
+    )
+
+    # Heuristic 3: Comment density
+    target_comment_density = 0.15
+    comment_lines = sum(1 for line in code if re.search(r"//|/\*|\*/|#", line))
+    comment_density = abs(comment_lines / len(code) - target_comment_density)
+
+    # Heuristic 4: Cyclomatic Complexity (normalized by the number of functions)
+    control_structures = re.findall(
+        r"\b(if|else|for|while|switch|case|default|continue|break)\b",
+        " ".join(code),
+        re.I,
+    )
+    functions = re.findall(r"\b(def|function|func|sub)\b", " ".join(code), re.I)
+    cyclomatic_complexity = (len(control_structures) + 1) / (len(functions) + 1)
+
+    # Heuristic 5: Indentation consistency
+    indentation_levels = [
+        len(re.match(r"^[\s\t]*", line).group()) for line in code if line.strip() != ""
+    ]
+    inconsistent_indentation = sum(
+        1
+        for i in range(1, len(indentation_levels))
+        if indentation_levels[i] - indentation_levels[i - 1] not in {0, 1, -1}
+    )
+    indentation_inconsistency_ratio = (
+        inconsistent_indentation / (len(indentation_levels) - 1)
+        if len(indentation_levels) > 1
+        else 0
+    )
+    # Normalize heuristic scores
+    normalized_scores = {
+        "long_line_ratio": 1 - min(long_line_ratio, 1),
+        "bad_identifier_ratio": 1 - min(bad_identifier_ratio, 1),
+        "comment_density_deviation": 1 - min(comment_density, 1),
+        "normalized_cyclomatic_complexity": 1 / (1 + cyclomatic_complexity),
+        "indentation_inconsistency_ratio": 1 - min(indentation_inconsistency_ratio, 1),
+    }
+
+    # Calculate the aggregate score as the average of the normalized scores
+    aggregate_score = sum(normalized_scores.values()) / len(normalized_scores)
+
+    return aggregate_score
+
+
+# Example usage:
+code_example = """def calculate_readability(code):
+    # This function calculates readability
+    avg_line_length = sum(len(line) for line in code) / len(code)
+    return avg_line_length"""
+
+readability_score = calculate_readability(code_example)
+print(readability_score)

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