Datasets:
Tasks:
Text Classification
Formats:
parquet
Sub-tasks:
semantic-similarity-classification
Languages:
code
Size:
1M - 10M
License:
| { | |
| "C2": { | |
| "n": 50, | |
| "clone": 21, | |
| "not_clone": 29, | |
| "unsure": 0, | |
| "fn_rate": 0.42, | |
| "fn_rate_ci95": [ | |
| 0.294, | |
| 0.558 | |
| ], | |
| "fn_rate_upper_incl_unsure": 0.42, | |
| "fn_rate_upper_ci95": [ | |
| 0.294, | |
| 0.558 | |
| ] | |
| }, | |
| "C3": { | |
| "n": 50, | |
| "clone": 15, | |
| "not_clone": 34, | |
| "unsure": 1, | |
| "fn_rate": 0.3, | |
| "fn_rate_ci95": [ | |
| 0.191, | |
| 0.438 | |
| ], | |
| "fn_rate_upper_incl_unsure": 0.32, | |
| "fn_rate_upper_ci95": [ | |
| 0.208, | |
| 0.458 | |
| ] | |
| }, | |
| "_provenance": { | |
| "key_matches_triples": { | |
| "C2": { | |
| "n": 50, | |
| "not_in_current_triples": 0, | |
| "examples": [] | |
| }, | |
| "C3": { | |
| "n": 50, | |
| "not_in_current_triples": 0, | |
| "examples": [] | |
| } | |
| }, | |
| "version": "phase01-v8", | |
| "n_labelled": 100 | |
| } | |
| } |