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basic_sentence_transforms.py

@@ -1,4 +1,4 @@
-# basic-sentence-transforms.py: the HF datasets "loading script" for the NC_PAT dataset (defines configurations/tasks, columns, etc.)
+# basic-sentence-transforms.py: the HF datasets "loading script" for the internal NC_PAT dataset (defines configurations/tasks, columns, etc.)
 import os
 import json
 import datasets
@@ -31,7 +31,7 @@ dir_only = {
     "direction": datasets.Value("string"),
 }
 
-configs = [
+warmup_configs = [
     {"name": "car_cdr_cons",
     "desc": "small phrase translation tasks that require only: CAR, CDR, or CAR+CDR+CONS operations",
     "features": samp_class},
@@ -79,6 +79,9 @@ configs = [
     {"name": "car_cdr_seq_path_tuc",
     "desc": "same task as car_cdr_seq_path, but requires mapping lowercase fillers to their uppercase tokens",
     "features": count_class},
+]
+
+core_configs = [
 
     {"name": "active_active_stb",
     "desc": "active sentence translation, from sentence to parenthesized tree form, both directions",
@@ -87,6 +90,15 @@ configs = [
     {"name": "active_active_stb_40k",
     "desc": "same task as active_active_stb, but train samples increased from 10K to 40K",
     "features": dir_only},
+
+    
+    {"name": "active_logical_ssb",
+    "desc": "active to logical sentence translation, in both directions",
+    "features": dir_only},
+    
+    {"name": "active_logical_ssb_40k",
+    "desc": "same task as active_logical_ssb, but train samples increased from 10K to 40K",
+    "features": dir_only},
     
     {"name": "active_logical_ttb",
     "desc": "active to logical tree translation, in both directions",
@@ -95,7 +107,8 @@ configs = [
     {"name": "active_logical_ttb_40k",
     "desc": "same task as active_logical_ttb, but train samples increased from 10K to 40K",
     "features": dir_only},
-    
+
+
     {"name": "active_passive_ssb",
     "desc": "active to passive sentence translation, in both directions",
     "features": dir_only},
@@ -111,6 +124,15 @@ configs = [
     {"name": "active_passive_ttb_40k",
     "desc": "same task as active_passive_ttb, but train samples increased from 10K to 40K",
     "features": dir_only},
+
+    
+    {"name": "actpass_logical_ss",
+    "desc": "mixture of active to logical and passive to logical sentence translations, single direction",
+    "features": no_extra},
+    
+    {"name": "actpass_logical_ss_40k",
+    "desc": "same task as actpass_logical_ss, but train samples increased from 10K to 40K",
+    "features": no_extra},
     
     {"name": "actpass_logical_tt",
     "desc": "mixture of active to logical and passive to logical tree translations, single direction",
@@ -120,6 +142,23 @@ configs = [
     "desc": "same task as actpass_logical_tt, but train samples increased from 10K to 40K",
     "features": no_extra},
     
+    {"name": "logical_logical_stb",
+    "desc": "logical form sentence translation, from sentence to parenthesized tree form, both directions",
+    "features": dir_only},
+    
+    {"name": "alogical_logical_stb_40k",
+    "desc": "same task as logical_logical_stb, but train samples increased from 10K to 40K",
+    "features": dir_only},
+
+    
+    {"name": "passive_logical_ssb",
+    "desc": "passive to logical sentence translation, in both directions",
+    "features": dir_only},
+    
+    {"name": "passive_logical_ssb_40k",
+    "desc": "same task as passive_logical_ssb, but train samples increased from 10K to 40K",
+    "features": dir_only},
+
     {"name": "passive_logical_ttb",
     "desc": "passive to logical tree translation, in both directions",
     "features": dir_only},
@@ -137,13 +176,16 @@ configs = [
     "features": dir_only},
 ]
 
+configs = warmup_configs + core_configs
+
 class BasicSentenceTransformsConfig(datasets.BuilderConfig):
     """BuilderConfig for basic_sentence_transforms dataset."""
 
     def __init__(self, features=None, **kwargs):
         # Version history:
         # 0.0.18: Initial version released to HF datasets
-        super().__init__(version=datasets.Version("0.0.18"), **kwargs)
+        # 0.0.21: release V21 of NC_PAT dataset 
+        super().__init__(version=datasets.Version("0.0.21"), **kwargs)
 
         self.features = features
         self.label_classes = None
@@ -166,7 +208,7 @@ class BasicSentenceTransformsConfig(datasets.BuilderConfig):
 
 class BasicSentenceTransforms(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [BasicSentenceTransformsConfig(name=c["name"], description=c["desc"], features=c["features"]) for c in configs]
-    VERSION = datasets.Version("0.0.18")
+    VERSION = datasets.Version("0.0.21")
 
     def _info(self):
         # features are now required here, so get them from the current CONFIG (following code example from super_glue.py)