Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
100K<n<1M
License:
formatting
Browse files
README.md
CHANGED
@@ -113,7 +113,9 @@ H |Non-UK| 2014 |General collection |Crowd & expert |2000
|
|
113 |
The most varied parts of the BTC are sections F and H. However, each of the remaining four sections has some specific readily-identifiable bias. So, we propose that one uses half of section H for evaluation and leaves the other half in the training data. Section H should be partitioned in the order of the JSON-format lines. Note that the CoNLL-format data is readily reconstructible from the JSON format, which is the authoritative data format from which others are derived.
|
114 |
|
115 |
**Test**: Section F
|
116 |
-
|
|
|
|
|
117 |
**Training**: everything else
|
118 |
|
119 |
|
|
|
113 |
The most varied parts of the BTC are sections F and H. However, each of the remaining four sections has some specific readily-identifiable bias. So, we propose that one uses half of section H for evaluation and leaves the other half in the training data. Section H should be partitioned in the order of the JSON-format lines. Note that the CoNLL-format data is readily reconstructible from the JSON format, which is the authoritative data format from which others are derived.
|
114 |
|
115 |
**Test**: Section F
|
116 |
+
|
117 |
+
**Development**: Section H (the paper says "second half of Section H" but ordinality could be ambiguous, so it all goes in. Bon chance)
|
118 |
+
|
119 |
**Training**: everything else
|
120 |
|
121 |
|