diff --git a/sample_good_subset.py b/sample_good_subset.py
index aeb4c3d..27752e2 100644
--- a/sample_good_subset.py
+++ b/sample_good_subset.py
@@ -5,17 +5,36 @@ import pandas as pd
 
 def for_readme_files():
     ld_csv_path = "final_data/deb_readme_did.csv"
-    ta_csv_path = "d_readability_readme.csv"
+    ta_csv_path = "text_analysis/d_readability_readme.csv"
     topic_csv_path = "text_analysis/readme_file_topic_distributions.csv"
     # criteria for good readme
-    # longer than half of a pageview
-
-
+    # mean of three examples listed on the contributing page
+    # https://github.com/rails/rails/blob/main/README.md (71s)
+    # https://github.com/github/docs/blob/main/README.md (48s)
+    # https://github.com/opengovernment/opengovernment/blob/master/README.md (14s)
+    # Median 48s
+    readme_ta_df = pd.read_csv(ta_csv_path)
+    threshold_count = readme_ta_df[readme_ta_df['reading_time'] >= 48].shape[0]
+    print(threshold_count)
+    # R8 > 0.125
+    readme_topic_df = pd.read_csv(topic_csv_path)
 
 def for_contributing_files():
     ld_csv_path = "final_data/deb_contrib_did.csv"
-    ta_csv_path = "d_readability_contrib.csv"
+    ta_csv_path = "text_analysis/d_readability_contributing.csv"
     topic_csv_path = "text_analysis/contrib_file_topic_distributions.csv"
     # criteria for good contributing 
-    # longer than half of a pageview
+    # mean of three examples listed on https://docs.github.com/en/communities/setting-up-your-project-for-healthy-contributions/setting-guidelines-for-repository-contributors
+    # https://github.com/rails/rails/blob/main/CONTRIBUTING.md (116s)
+    # https://github.com/github/docs/blob/main/.github/CONTRIBUTING.md (59s)
+    # https://github.com/opengovernment/opengovernment/blob/master/CONTRIBUTING.md (45s)
+    # Median 59s
+    contributing_ta_df = pd.read_csv(ta_csv_path)
+    threshold_count = contributing_ta_df[contributing_ta_df['reading_time'] >= 59].shape[0]
+    print(threshold_count)
+    # and then making sure they're on topic, C4 > 0.25
+    contributing_ta_df = pd.read_csv(topic_csv_path)
 
+if __name__ == "__main__":
+    for_contributing_files()
+    for_readme_files()
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