Expose document lemmas and MSDs

cc_gigafida.py

@@ -62,6 +62,8 @@ class CcGigafida(datasets.GeneratorBasedBuilder):
                 "publisher": datasets.Value("string"),
                 "genres": datasets.Sequence(datasets.Value("string")),
                 "doc_tokenized": datasets.Sequence(datasets.Sequence(datasets.Sequence(datasets.Value("string")))),
+                "doc_lemmas": datasets.Sequence(datasets.Sequence(datasets.Sequence(datasets.Value("string")))),
+                "doc_msds": datasets.Sequence(datasets.Sequence(datasets.Sequence(datasets.Value("string")))),
                 "doc_string": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
                 "id_sents": datasets.Sequence(datasets.Sequence(datasets.Value("string")))
             }
@@ -136,10 +138,12 @@ class CcGigafida(datasets.GeneratorBasedBuilder):
             body_tag = root.find(f".//{NAMESPACE}body")
             tokenized_doc, doc_str = [], []
             doc_sent_ids = []
+            doc_msds, doc_lemmas = [], []
 
             for para_tag in body_tag.findall(f".//{NAMESPACE}p"):
                 id_para = para_tag.attrib[f"{XML_NAMESPACE}id"]
                 tokenized_para, para_str = [], []
+                para_msds, para_lemmas = [], []
                 para_sent_ids = []
 
                 for _idx_sent, sent_tag in enumerate(para_tag.findall(f".//{NAMESPACE}s")):
@@ -150,6 +154,7 @@ class CcGigafida(datasets.GeneratorBasedBuilder):
                         id_sent = f"{id_para}.{_idx_sent}"
 
                     tokenized_sent, str_sent = [], []
+                    msd_tags, lemmas = [], []
                     for child_tag in sent_tag:
                         tag_str = child_tag.tag[len(NAMESPACE):]
                         if tag_str not in {"w", "S", "c", "pc"}:
@@ -167,20 +172,28 @@ class CcGigafida(datasets.GeneratorBasedBuilder):
                             str_sent.append(child_tag.text)
                             if child_tag.text != " ":
                                 tokenized_sent.append(child_tag.text)
+                                msd_tags.append(child_tag.attrib["ana"][len("mte:"):] if "ana" in child_tag.attrib else "")
+                                lemmas.append(child_tag.text)
 
                         # word or punctuation character
                         else:
                             str_sent.append(child_tag.text)
                             tokenized_sent.append(child_tag.text)
+                            msd_tags.append(child_tag.attrib["ana"][len("mte:"):] if "ana" in child_tag.attrib else child_tag.attrib["msd"])
+                            lemmas.append(child_tag.attrib["lemma"] if "lemma" in child_tag.attrib else child_tag.text)
 
                     str_sent = "".join(str_sent)
                     tokenized_para.append(tokenized_sent)
                     para_str.append(str_sent)
                     para_sent_ids.append(id_sent)
+                    para_msds.append(msd_tags)
+                    para_lemmas.append(lemmas)
 
                 tokenized_doc.append(tokenized_para)
                 doc_str.append(para_str)
                 doc_sent_ids.append(para_sent_ids)
+                doc_msds.append(para_msds)
+                doc_lemmas.append(para_lemmas)
 
             yield _idx_file, {
                 "id_doc": id_doc,
@@ -190,6 +203,8 @@ class CcGigafida(datasets.GeneratorBasedBuilder):
                 "publisher": publisher,
                 "genres": genres,
                 "doc_tokenized": tokenized_doc,
+                "doc_lemmas": doc_lemmas,
+                "doc_msds": doc_msds,
                 "doc_string": doc_str,
                 "id_sents": doc_sent_ids
             }

dataset_infos.json

@@ -1 +1 @@
-{"default": {"description": "The ccGigafida corpus contains a subsample of the Gigafida corpus. The Gigafida corpus is an extensive collection of \nSlovene text of various genres, from daily newspapers, magazines, all kinds of books (fiction, non-fiction, textbooks), \nweb pages, transcriptions of parliamentary debates and similar.\n", "citation": "@misc{ccGigafida,\n    title = {Written corpus {ccGigafida} 1.0},\n    author = {Logar, Nata{\u000b s}a and Erjavec, Toma{\u000b z} and Krek, Simon and Gr{\u000b c}ar, Miha and Holozan, Peter},\n    url = {http://hdl.handle.net/11356/1035},\n    note = {Slovenian language resource repository {CLARIN}.{SI}},\n    copyright = {Creative Commons - Attribution-{NonCommercial}-{ShareAlike} 4.0 International ({CC} {BY}-{NC}-{SA} 4.0)},\n    issn = {2820-4042},\n    year = {2013}\n}\n", "homepage": "http://eng.slovenscina.eu/korpusi/proste-zbirke", "license": "Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)", "features": {"id_doc": {"dtype": "string", "id": null, "_type": "Value"}, "doc_title": {"dtype": "string", "id": null, "_type": "Value"}, "authors": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "publish_date": {"dtype": "string", "id": null, "_type": "Value"}, "publisher": {"dtype": "string", "id": null, "_type": "Value"}, "genres": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "doc_tokenized": {"feature": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "doc_string": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "id_sents": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "cc_gigafida", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2054478553, "num_examples": 31722, "dataset_name": "cc_gigafida"}}, "download_checksums": {"https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1035/ccGigafidaV1_0.zip": {"num_bytes": 954116273, "checksum": "448e284d6f92d54f123e2b7fa433c9d84d060f2db07c589e9b45a356a1f5242e"}}, "download_size": 954116273, "post_processing_size": null, "dataset_size": 2054478553, "size_in_bytes": 3008594826}}
+{"default": {"description": "The ccGigafida corpus contains a subsample of the Gigafida corpus. The Gigafida corpus is an extensive collection of \nSlovene text of various genres, from daily newspapers, magazines, all kinds of books (fiction, non-fiction, textbooks), \nweb pages, transcriptions of parliamentary debates and similar.\n", "citation": "@misc{ccGigafida,\n    title = {Written corpus {ccGigafida} 1.0},\n    author = {Logar, Nata{\u000b s}a and Erjavec, Toma{\u000b z} and Krek, Simon and Gr{\u000b c}ar, Miha and Holozan, Peter},\n    url = {http://hdl.handle.net/11356/1035},\n    note = {Slovenian language resource repository {CLARIN}.{SI}},\n    copyright = {Creative Commons - Attribution-{NonCommercial}-{ShareAlike} 4.0 International ({CC} {BY}-{NC}-{SA} 4.0)},\n    issn = {2820-4042},\n    year = {2013}\n}\n", "homepage": "http://eng.slovenscina.eu/korpusi/proste-zbirke", "license": "Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)", "features": {"id_doc": {"dtype": "string", "id": null, "_type": "Value"}, "doc_title": {"dtype": "string", "id": null, "_type": "Value"}, "authors": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "publish_date": {"dtype": "string", "id": null, "_type": "Value"}, "publisher": {"dtype": "string", "id": null, "_type": "Value"}, "genres": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "doc_tokenized": {"feature": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "doc_lemmas": {"feature": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "doc_msds": {"feature": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "doc_string": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "id_sents": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "cc_gigafida", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4242404354, "num_examples": 31722, "dataset_name": "cc_gigafida"}}, "download_checksums": {"https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1035/ccGigafidaV1_0.zip": {"num_bytes": 954116273, "checksum": "448e284d6f92d54f123e2b7fa433c9d84d060f2db07c589e9b45a356a1f5242e"}}, "download_size": 954116273, "post_processing_size": null, "dataset_size": 4242404354, "size_in_bytes": 5196520627}}