dataset writing in HF format

ucsinfer/__main__.py

@@ -117,12 +117,14 @@ def recommend(ctx, text, paths, interactive, skip_ucs):
         
 
 @ucsinfer.command('gather')
-@click.option('--outfile', type=click.File(mode='w', encoding='utf8'),
+@click.option('--outfile', default='dataset', show_default=True)
-              default='dataset.csv', show_default=True)
+@click.option('--ucs-data', flag_value=True, help="Create a dataset based "
+              "on the UCS category explanations and synonymns (PATHS will "
+              "be ignored.)")
 @click.argument('paths', nargs=-1)
-def gather(paths, outfile):
+def gather(paths, outfile, ucs_data):
     """
-    Scan files to build a training dataset at PATH
+    Scan files to build a training dataset
     
     The `gather` is used to build a training dataset for finetuning the 
     selected model. Description sentences and UCS categories are collected from 
@@ -141,9 +143,13 @@ def gather(paths, outfile):
 
     logger.debug(f"Loading category list...")
     ucs = load_ucs()
-    catid_list = [cat.catid for cat in ucs]
 
     scan_list = []
+    catid_list = [cat.catid for cat in ucs]
+
+    if ucs_data:
+        paths = []
+
     for path in paths:
         logger.info(f"Scanning directory {path}...")
         for dirpath, _, filenames in os.walk(path):
@@ -166,7 +172,16 @@ def gather(paths, outfile):
                 assert comps
                 yield comps.fx_name, str(pair[0])
 
-    dataset = build_sentence_class_dataset(scan_metadata())
+    def ucs_metadata():
+        for cat in ucs:
+            yield cat.explanations, cat.catid
+            yield ", ".join(cat.synonymns), cat.catid
+
+    if ucs_data:
+        dataset = build_sentence_class_dataset(ucs_metadata(), catid_list)
+    else:
+        dataset = build_sentence_class_dataset(scan_metadata(), catid_list)
+    
     dataset.save_to_disk(outfile)