A simple tool to compare textual data against validation sets.
Project description
Comparisonframe
Comparison Frame is designed to automate and streamline the process of comparing textual data, particularly focusing on various metrics such as character and word count, punctuation usage, and semantic similarity. It's particularly useful for scenarios where consistent text analysis is required, such as evaluating the performance of natural language processing models, monitoring content quality, or tracking changes in textual data over time using manual evaluation.
from comparisonframe import ComparisonFrame
1. Creating validation set
1.1 Initialize comparison class
comparer = ComparisonFrame(
# optionally
## mocker default parameters
mocker_params = {
'file_path' : "./comparisonframe_storage",
'persist' : True},
## scores to calculate
compare_scores = ['word_count_diff','semantic_similarity'],
aggr_scores = ['median']
)
/home/kyriosskia/miniforge3/envs/testenv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
warnings.warn(
1.2 Recording queries and expected responses (validation set)
comparer.record_queries(
queries = ["Black metal",
"Tribulation"],
expected_texts = ["Black metal is an extreme subgenre of heavy metal music.",
"Tribulation are a Swedish heavy metal band from Arvika that formed in 2005."],
metadata = {'name' : 'metal_bands'})
2. Comparing newly generated data with expected results
2.1 Initialize new comparison class
comparer = ComparisonFrame(
# optionally
## mocker default parameters
mocker_params = {
'file_path' : "./comparisonframe_storage",
'persist' : True},
## scores to calculate
compare_scores = ['word_count_diff','semantic_similarity'],
aggr_scores = ['median']
)
2.2 Show validation set
untested_queries = comparer.get_all_queries(
## optional
metadata_filters={'name' : 'metal_bands'})
print(untested_queries)
['Black metal', 'Tribulation']
comparer.get_all_records()
[{'expected_text': 'Black metal is an extreme subgenre of heavy metal music.',
'record_id': '0cc157453395b440f36d1a1aee24aa76a03f5f9ab0a7a8bd7b663c92f2f16e87',
'query': 'Black metal'},
{'expected_text': 'Tribulation are a Swedish heavy metal band from Arvika that formed in 2005.',
'record_id': 'eecd9c2a5b25ee6053891b894157fa30372ed694763385e1ada1dc9ad8e41625',
'query': 'Tribulation'}]
comparer.get_all_records_df()
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| expected_text | record_id | query | |
|---|---|---|---|
| 0 | Black metal is an extreme subgenre of heavy me... | 0cc157453395b440f36d1a1aee24aa76a03f5f9ab0a7a8... | Black metal |
| 1 | Tribulation are a Swedish heavy metal band fro... | eecd9c2a5b25ee6053891b894157fa30372ed694763385... | Tribulation |
2.3 Insert newly generated with records
valid_answer_query_1 = "Black metal is an extreme subgenre of heavy metal music."
very_similar_answer_query_1 = "Black metal is a subgenre of heavy metal music."
unexpected_answer_query_1 = "Black metals are beautiful and are often used in jewelry design."
comparer.record_runs(queries = ["Black metal"],
provided_texts = [valid_answer_query_1,
very_similar_answer_query_1,
unexpected_answer_query_1],
metadata={'desc' : 'definitions'})
comparer.get_all_runs()
[{'query': 'Black metal',
'provided_text': 'Black metal is an extreme subgenre of heavy metal music.',
'run_id': 'faf5aab28ee8d460cbb69c6f434bee622aff8cdfb8796282bdc547fff2c1abf8',
'timestamp': '2024-09-26 01:36:13'},
{'query': 'Black metal',
'provided_text': 'Black metal is a subgenre of heavy metal music.',
'run_id': '9fbd80050d382972c012ffcb4641f48d6220afb2210a20a11da5c7a48664f033',
'timestamp': '2024-09-26 01:36:13'},
{'query': 'Black metal',
'provided_text': 'Black metals are beautiful and are often used in jewelry design.',
'run_id': 'e4fc3f56c95d4266b6543a306c4305e0d8b960a1e0196d05cfc8ee4ea0bd7129',
'timestamp': '2024-09-26 01:36:13'}]
df = comparer.get_all_runs_df()
df
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| query | provided_text | run_id | timestamp | |
|---|---|---|---|---|
| 0 | Black metal | Black metal is an extreme subgenre of heavy me... | faf5aab28ee8d460cbb69c6f434bee622aff8cdfb87962... | 2024-09-26 01:36:13 |
| 1 | Black metal | Black metal is a subgenre of heavy metal music. | 9fbd80050d382972c012ffcb4641f48d6220afb2210a20... | 2024-09-26 01:36:13 |
| 2 | Black metal | Black metals are beautiful and are often used ... | e4fc3f56c95d4266b6543a306c4305e0d8b960a1e0196d... | 2024-09-26 01:36:13 |
2.4 Comparing runs with records
comparer.compare_runs_with_records()
WARNING:ComparisonFrame:No data was found with applied filters!
comparer.get_all_run_scores()
[{'query': 'Black metal',
'provided_text': 'Black metal is an extreme subgenre of heavy metal music.',
'run_id': 'faf5aab28ee8d460cbb69c6f434bee622aff8cdfb8796282bdc547fff2c1abf8',
'timestamp': '2024-09-26 01:36:13',
'record_id': '0cc157453395b440f36d1a1aee24aa76a03f5f9ab0a7a8bd7b663c92f2f16e87',
'word_count_diff': 0,
'semantic_similarity': 0.9999999403953552,
'comparison_id': 'cdb16a8d16a95e85d879c29aaf9762c9e2776843f2a01d6ef9154daacd9b732d'},
{'query': 'Black metal',
'provided_text': 'Black metal is a subgenre of heavy metal music.',
'run_id': '9fbd80050d382972c012ffcb4641f48d6220afb2210a20a11da5c7a48664f033',
'timestamp': '2024-09-26 01:36:13',
'record_id': '0cc157453395b440f36d1a1aee24aa76a03f5f9ab0a7a8bd7b663c92f2f16e87',
'word_count_diff': 1,
'semantic_similarity': 0.9859851002693176,
'comparison_id': '16472e44ac7d2d74e18ea583490c2f6b8661cc8b48cc9b7480a51dc8c6796c41'},
{'query': 'Black metal',
'provided_text': 'Black metals are beautiful and are often used in jewelry design.',
'run_id': 'e4fc3f56c95d4266b6543a306c4305e0d8b960a1e0196d05cfc8ee4ea0bd7129',
'timestamp': '2024-09-26 01:36:13',
'record_id': '0cc157453395b440f36d1a1aee24aa76a03f5f9ab0a7a8bd7b663c92f2f16e87',
'word_count_diff': 1,
'semantic_similarity': 0.4940534234046936,
'comparison_id': '966c1da5e641480e8ccd33a7d0f544d9ec6c4e2e799be11529d2cf7a222deb9a'}]
comparer.get_all_run_scores_df()
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| query | provided_text | run_id | timestamp | record_id | word_count_diff | semantic_similarity | comparison_id | |
|---|---|---|---|---|---|---|---|---|
| 0 | Black metal | Black metal is an extreme subgenre of heavy me... | faf5aab28ee8d460cbb69c6f434bee622aff8cdfb87962... | 2024-09-26 01:36:13 | 0cc157453395b440f36d1a1aee24aa76a03f5f9ab0a7a8... | 0 | 1.000000 | cdb16a8d16a95e85d879c29aaf9762c9e2776843f2a01d... |
| 1 | Black metal | Black metal is a subgenre of heavy metal music. | 9fbd80050d382972c012ffcb4641f48d6220afb2210a20... | 2024-09-26 01:36:13 | 0cc157453395b440f36d1a1aee24aa76a03f5f9ab0a7a8... | 1 | 0.985985 | 16472e44ac7d2d74e18ea583490c2f6b8661cc8b48cc9b... |
| 2 | Black metal | Black metals are beautiful and are often used ... | e4fc3f56c95d4266b6543a306c4305e0d8b960a1e0196d... | 2024-09-26 01:36:13 | 0cc157453395b440f36d1a1aee24aa76a03f5f9ab0a7a8... | 1 | 0.494053 | 966c1da5e641480e8ccd33a7d0f544d9ec6c4e2e799be1... |
3 Calculating aggregate comparison scores
comparer.calculate_aggr_scores(group_by = ['desc'])
WARNING:ComparisonFrame:No data was found with applied filters!
comparer.get_all_aggr_scores()
[{'timestamp': '2024-09-26 01:36:13',
'comparison_id': ['cdb16a8d16a95e85d879c29aaf9762c9e2776843f2a01d6ef9154daacd9b732d',
'16472e44ac7d2d74e18ea583490c2f6b8661cc8b48cc9b7480a51dc8c6796c41',
'966c1da5e641480e8ccd33a7d0f544d9ec6c4e2e799be11529d2cf7a222deb9a'],
'query': ['Black metal'],
'grouped_by': ['query'],
'group': {'query': 'Black metal'},
'median_word_count_diff': 1.0,
'median_semantic_similarity': 0.9859851002693176,
'record_status_id': 'dc1126e128d42f74bb98bad9ce4101fe1a4ea5a46df57d430dea99fdd4b8c628'}]
comparer.get_all_aggr_scores_df(grouped_by = ['desc'])
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| timestamp | comparison_id | query | grouped_by | group | median_word_count_diff | median_semantic_similarity | record_status_id | |
|---|---|---|---|---|---|---|---|---|
| 0 | 2024-09-26 01:36:13 | [cdb16a8d16a95e85d879c29aaf9762c9e2776843f2a01... | [Black metal] | [desc] | {'desc': 'definitions'} | 1.0 | 0.985985 | c9d97729c5b03641fbf8fd35d257f2f1024a812f097ffb... |
4. Recording test statuses
comparer.calculate_test_statuses(test_query = "median_semantic_similarity > 0.9")
comparer.get_test_statuses()
[{'timestamp': '2024-09-26 01:36:13',
'record_id': '0cc157453395b440f36d1a1aee24aa76a03f5f9ab0a7a8bd7b663c92f2f16e87',
'record_status_id': 'dc1126e128d42f74bb98bad9ce4101fe1a4ea5a46df57d430dea99fdd4b8c628',
'query': 'Black metal',
'test': 'median_semantic_similarity > 0.9',
'valid': True}]
comparer.get_test_statuses_df()
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| timestamp | record_id | record_status_id | query | test | valid | |
|---|---|---|---|---|---|---|
| 0 | 2024-09-26 01:36:13 | 0cc157453395b440f36d1a1aee24aa76a03f5f9ab0a7a8... | dc1126e128d42f74bb98bad9ce4101fe1a4ea5a46df57d... | Black metal | median_semantic_similarity > 0.9 | True |
5. Reseting statuses, flushing records and comparison results
comparer.flush_records()
comparer.flush_runs()
comparer.flush_comparison_scores()
comparer.flush_aggregate_scores()
comparer.flush_test_statuses()
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