Datasets:
cjvt
/

Matej Klemen commited on
Commit
b2bdc31
1 Parent(s): d7406d5

Multiple fixes:

Browse files

* Fix indices inside corrections pointing to out-of-bounds tokens due to some sentences not being marked in the 'corresp' field of the correction group tag
* Write the correct version of the dataset (3.0 instead of 1.0)
* Correct the statistic of manually annotated documents
* Remove idx_par, idx_sent for source and target sentences

Files changed (3) hide show
  1. README.md +5 -11
  2. dataset_infos.json +1 -1
  3. solar3.py +55 -31
README.md CHANGED
@@ -34,7 +34,7 @@ task_ids:
34
 
35
  Šolar* is a developmental corpus of 5485 school texts (e.g., essays), written by students in Slovenian secondary schools
36
  (age 15-19) and pupils in the 7th-9th grade of primary school (13-15), with a small percentage also from the 6th grade.
37
- Part of the corpus (2094 texts) is annotated with teachers' corrections using a system of labels described in the
38
  document available at https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1589/Smernice-za-oznacevanje-korpusa-Solar_V1.1.pdf (in Slovenian).
39
 
40
  \(*) pronounce "š" as "sh" in "shoe".
@@ -88,11 +88,9 @@ A sample instance from the dataset:
88
  {
89
  'id_doc': 'solar1',
90
  'doc_title': 'KUS-G-slo-1-GO-E-2009-10001',
91
- 'is_manually_validated': True,
92
- 'idx_src_par': 2, 'idx_src_sent': 0,
93
  'id_src_tokens': ['solar1s.3.1.1', 'solar1s.3.1.2', 'solar1s.3.1.3', 'solar1s.3.1.4', 'solar1s.3.1.5', 'solar1s.3.1.6', 'solar1s.3.1.7', 'solar1s.3.1.8', 'solar1s.3.1.9', 'solar1s.3.1.10', 'solar1s.3.1.11', 'solar1s.3.1.12', 'solar1s.3.1.13', 'solar1s.3.1.14', 'solar1s.3.1.15', 'solar1s.3.1.16', 'solar1s.3.1.17', 'solar1s.3.1.18', 'solar1s.3.1.19', 'solar1s.3.1.20', 'solar1s.3.1.21', 'solar1s.3.1.22', 'solar1s.3.1.23', 'solar1s.3.1.24', 'solar1s.3.1.25'],
94
  'src_tokens': ['”', 'Ne', 'da', 'sovražim', ',', 'da', 'ljubim', 'sem', 'na', 'svetu', '”', ',', 'izreče', 'Antigona', 'v', 'bran', 'kralju', 'Kreonu', 'za', 'svoje', 'nasprotno', 'mišljenje', 'pred', 'smrtjo', '.'],
95
- 'idx_tgt_par': 2, 'idx_tgt_sent': 0,
96
  'id_tgt_tokens': ['solar1t.3.1.1', 'solar1t.3.1.2', 'solar1t.3.1.3', 'solar1t.3.1.4', 'solar1t.3.1.5', 'solar1t.3.1.6', 'solar1t.3.1.7', 'solar1t.3.1.8', 'solar1t.3.1.9', 'solar1t.3.1.10', 'solar1t.3.1.11', 'solar1t.3.1.12', 'solar1t.3.1.13', 'solar1t.3.1.14', 'solar1t.3.1.15', 'solar1t.3.1.16', 'solar1t.3.1.17', 'solar1t.3.1.18', 'solar1t.3.1.19', 'solar1t.3.1.20', 'solar1t.3.1.21', 'solar1t.3.1.22', 'solar1t.3.1.23', 'solar1t.3.1.24', 'solar1t.3.1.25', 'solar1t.3.1.26'],
97
  'tgt_tokens': ['„', 'Ne', 'da', 'sovražim', ',', 'da', 'ljubim', 'sem', 'na', 'svetu', ',', '”', 'izreče', 'Antigona', 'sebi', 'v', 'bran', 'kralju', 'Kreonu', 'za', 'svoje', 'nasprotno', 'mišljenje', 'pred', 'smrtjo', '.'],
98
  'corrections': [
@@ -112,13 +110,9 @@ The instance represents a correction in the document 'solar1' (`id_doc`), which
112
 
113
  - `id_doc`: a string containing the identifying name of the document in which the sentence appears;
114
  - `doc_title`: a string containing the assigned document title;
115
- - `is_manually_validated`: a bool indicating whether the document in which the sentence appears was reviewed by a teacher;
116
- - `idx_src_par`: a uint32 containing the index of the paragraph in which the source sentence appears (`-1` if there is no source sentence);
117
- - `idx_src_sent`: a uint32 containing the index of the source sentence inside its paragraph (`-1` if there is no source sentence);
118
  - `id_src_tokens`: identifiers of words in the source sentence (`[]` if there is no source sentence);
119
- - `src_tokens`: words in the source sentence (`[]` if there is no source sentence);
120
- - `idx_tgt_par`: a uint32 containing the index of the paragraph in which the target sentence appears (`-1` if there is no target sentence);
121
- - `idx_tgt_sent`: a uint32 containing the index of the target sentence inside its paragraph (`-1` if there is no target sentence);
122
  - `id_tgt_tokens`: identifiers of words in the target sentence (`[]` if there is no target sentence);
123
  - `tgt_tokens`: words in the target sentence (`[]` if there is no target sentence);
124
  - `corrections`: a list of the corrections, with each correction represented with a dictionary, containing the indices of the source tokens involved (`idx_src`), target tokens involved (`idx_tgt`), and the categories of the corrections made (`corr_types`). Please note that there can be multiple assigned categories for one annotated correction, in which case `len(corr_types) > 1`.
@@ -130,7 +124,7 @@ Note: `idx_src_par`, `idx_src_sent`, `idx_tgt_par`, `idx_tgt_sent` can be used t
130
 
131
  The Developmental corpus Šolar consists of 5,485 texts written by students in Slovenian secondary schools (age 15-19) and pupils in the 7th-9th grade of primary school (13-15), with a small percentage also from the 6th grade. The information on school (elementary or secondary), subject, level (grade or year), type of text, region, and date of production is provided for each text. School essays form the majority of the corpus while other material includes texts created during lessons, such as text recapitulations or descriptions, examples of formal applications, etc.
132
 
133
- Part of the corpus (2,094 texts) is annotated with teachers' corrections using a system of labels described in the attached document (in Slovenian). Teacher corrections were part of the original files and reflect real classroom situations of essay marking. Corrections were then inserted into texts by annotators and subsequently categorized.
134
 
135
 
136
  ## Additional Information
 
34
 
35
  Šolar* is a developmental corpus of 5485 school texts (e.g., essays), written by students in Slovenian secondary schools
36
  (age 15-19) and pupils in the 7th-9th grade of primary school (13-15), with a small percentage also from the 6th grade.
37
+ Part of the corpus (1516 texts) is annotated with teachers' corrections using a system of labels described in the
38
  document available at https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1589/Smernice-za-oznacevanje-korpusa-Solar_V1.1.pdf (in Slovenian).
39
 
40
  \(*) pronounce "š" as "sh" in "shoe".
 
88
  {
89
  'id_doc': 'solar1',
90
  'doc_title': 'KUS-G-slo-1-GO-E-2009-10001',
91
+ 'is_manually_validated': True,
 
92
  'id_src_tokens': ['solar1s.3.1.1', 'solar1s.3.1.2', 'solar1s.3.1.3', 'solar1s.3.1.4', 'solar1s.3.1.5', 'solar1s.3.1.6', 'solar1s.3.1.7', 'solar1s.3.1.8', 'solar1s.3.1.9', 'solar1s.3.1.10', 'solar1s.3.1.11', 'solar1s.3.1.12', 'solar1s.3.1.13', 'solar1s.3.1.14', 'solar1s.3.1.15', 'solar1s.3.1.16', 'solar1s.3.1.17', 'solar1s.3.1.18', 'solar1s.3.1.19', 'solar1s.3.1.20', 'solar1s.3.1.21', 'solar1s.3.1.22', 'solar1s.3.1.23', 'solar1s.3.1.24', 'solar1s.3.1.25'],
93
  'src_tokens': ['”', 'Ne', 'da', 'sovražim', ',', 'da', 'ljubim', 'sem', 'na', 'svetu', '”', ',', 'izreče', 'Antigona', 'v', 'bran', 'kralju', 'Kreonu', 'za', 'svoje', 'nasprotno', 'mišljenje', 'pred', 'smrtjo', '.'],
 
94
  'id_tgt_tokens': ['solar1t.3.1.1', 'solar1t.3.1.2', 'solar1t.3.1.3', 'solar1t.3.1.4', 'solar1t.3.1.5', 'solar1t.3.1.6', 'solar1t.3.1.7', 'solar1t.3.1.8', 'solar1t.3.1.9', 'solar1t.3.1.10', 'solar1t.3.1.11', 'solar1t.3.1.12', 'solar1t.3.1.13', 'solar1t.3.1.14', 'solar1t.3.1.15', 'solar1t.3.1.16', 'solar1t.3.1.17', 'solar1t.3.1.18', 'solar1t.3.1.19', 'solar1t.3.1.20', 'solar1t.3.1.21', 'solar1t.3.1.22', 'solar1t.3.1.23', 'solar1t.3.1.24', 'solar1t.3.1.25', 'solar1t.3.1.26'],
95
  'tgt_tokens': ['„', 'Ne', 'da', 'sovražim', ',', 'da', 'ljubim', 'sem', 'na', 'svetu', ',', '”', 'izreče', 'Antigona', 'sebi', 'v', 'bran', 'kralju', 'Kreonu', 'za', 'svoje', 'nasprotno', 'mišljenje', 'pred', 'smrtjo', '.'],
96
  'corrections': [
 
110
 
111
  - `id_doc`: a string containing the identifying name of the document in which the sentence appears;
112
  - `doc_title`: a string containing the assigned document title;
113
+ - `is_manually_validated`: a bool indicating whether the document in which the sentence appears was reviewed by a teacher;
 
 
114
  - `id_src_tokens`: identifiers of words in the source sentence (`[]` if there is no source sentence);
115
+ - `src_tokens`: words in the source sentence (`[]` if there is no source sentence);
 
 
116
  - `id_tgt_tokens`: identifiers of words in the target sentence (`[]` if there is no target sentence);
117
  - `tgt_tokens`: words in the target sentence (`[]` if there is no target sentence);
118
  - `corrections`: a list of the corrections, with each correction represented with a dictionary, containing the indices of the source tokens involved (`idx_src`), target tokens involved (`idx_tgt`), and the categories of the corrections made (`corr_types`). Please note that there can be multiple assigned categories for one annotated correction, in which case `len(corr_types) > 1`.
 
124
 
125
  The Developmental corpus Šolar consists of 5,485 texts written by students in Slovenian secondary schools (age 15-19) and pupils in the 7th-9th grade of primary school (13-15), with a small percentage also from the 6th grade. The information on school (elementary or secondary), subject, level (grade or year), type of text, region, and date of production is provided for each text. School essays form the majority of the corpus while other material includes texts created during lessons, such as text recapitulations or descriptions, examples of formal applications, etc.
126
 
127
+ Part of the corpus (1516 texts) is annotated with teachers' corrections using a system of labels described in the attached document (in Slovenian). Teacher corrections were part of the original files and reflect real classroom situations of essay marking. Corrections were then inserted into texts by annotators and subsequently categorized.
128
 
129
 
130
  ## Additional Information
dataset_infos.json CHANGED
@@ -1 +1 @@
1
- {"default": {"description": "\u0160olar is a developmental corpus of 5485 school texts (e.g., essays), written by students in Slovenian secondary schools \n(age 15-19) and pupils in the 7th-9th grade of primary school (13-15), with a small percentage also from the 6th grade. \nPart of the corpus (2,094 texts) is annotated with teachers' corrections using a system of labels described in the \ndocument available at https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1589/Smernice-za-oznacevanje-korpusa-Solar_V1.1.pdf (in Slovenian).\n", "citation": "@misc{solar3.0,\n title = {Developmental corpus {\u000b S}olar 3.0},\n author = {Arhar Holdt, {\u000b S}pela and Rozman, Tadeja and Stritar Ku{\u000b c}uk, Mojca and Krek, Simon and Krap{\u000b s} Vodopivec, Irena and Stabej, Marko and Pori, Eva and Goli, Teja and Lavri{\u000b c}, Polona and Laskowski, Cyprian and Kocjan{\u000b c}i{\u000b c}, Polonca and Klemenc, Bojan and Krsnik, Luka and Kosem, Iztok},\n url = {http://hdl.handle.net/11356/1589},\n note = {Slovenian language resource repository {CLARIN}.{SI}},\n year = {2022}\n}\n", "homepage": "http://hdl.handle.net/11356/1589", "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"}, "is_manually_validated": {"dtype": "bool", "id": null, "_type": "Value"}, "idx_src_par": {"dtype": "int32", "id": null, "_type": "Value"}, "idx_src_sent": {"dtype": "int32", "id": null, "_type": "Value"}, "id_src_tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "src_tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "idx_tgt_par": {"dtype": "int32", "id": null, "_type": "Value"}, "idx_tgt_sent": {"dtype": "int32", "id": null, "_type": "Value"}, "id_tgt_tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tgt_tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "corrections": [{"idx_src": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "idx_tgt": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "corr_types": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "solar3", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 122284807, "num_examples": 125867, "dataset_name": "solar3"}}, "download_checksums": {"https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1589/Solar.TEI.zip": {"num_bytes": 99287852, "checksum": "188945c90c663cc34c77c6aefd40357b60b88436b3d9fd53f24304c927ac1cbf"}}, "download_size": 99287852, "post_processing_size": null, "dataset_size": 122284807, "size_in_bytes": 221572659}}
 
1
+ {"default": {"description": "\u0160olar is a developmental corpus of 5485 school texts (e.g., essays), written by students in Slovenian secondary schools \n(age 15-19) and pupils in the 7th-9th grade of primary school (13-15), with a small percentage also from the 6th grade. \nPart of the corpus (2,094 texts) is annotated with teachers' corrections using a system of labels described in the \ndocument available at https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1589/Smernice-za-oznacevanje-korpusa-Solar_V1.1.pdf (in Slovenian).\n", "citation": "@misc{solar3.0,\n title = {Developmental corpus {\u000b S}olar 3.0},\n author = {Arhar Holdt, {\u000b S}pela and Rozman, Tadeja and Stritar Ku{\u000b c}uk, Mojca and Krek, Simon and Krap{\u000b s} Vodopivec, Irena and Stabej, Marko and Pori, Eva and Goli, Teja and Lavri{\u000b c}, Polona and Laskowski, Cyprian and Kocjan{\u000b c}i{\u000b c}, Polonca and Klemenc, Bojan and Krsnik, Luka and Kosem, Iztok},\n url = {http://hdl.handle.net/11356/1589},\n note = {Slovenian language resource repository {CLARIN}.{SI}},\n year = {2022}\n}\n", "homepage": "http://hdl.handle.net/11356/1589", "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"}, "is_manually_validated": {"dtype": "bool", "id": null, "_type": "Value"}, "id_src_tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "src_tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "id_tgt_tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tgt_tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "corrections": [{"idx_src": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "idx_tgt": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "corr_types": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "solar3", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 120154479, "num_examples": 125867, "dataset_name": "solar3"}}, "download_checksums": {"https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1589/Solar.TEI.zip": {"num_bytes": 99287852, "checksum": "188945c90c663cc34c77c6aefd40357b60b88436b3d9fd53f24304c927ac1cbf"}}, "download_size": 99287852, "post_processing_size": null, "dataset_size": 120154479, "size_in_bytes": 219442331}}
solar3.py CHANGED
@@ -63,6 +63,28 @@ def resolve_element(tag_el, ne_tag: Optional[str] = "O"):
63
  return anns
64
 
65
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
66
  def read_data(data_path):
67
  data = {} # ID_sent -> sentence_metadata
68
  tree = ET.parse(data_path)
@@ -98,8 +120,6 @@ def read_data(data_path):
98
  data[id_sent] = {
99
  "id_doc": id_text,
100
  "doc_title": text_title,
101
- "idx_par": idx_par,
102
- "idx_sent": idx_sent,
103
  "id_token": ids, "form": forms, "lemma": lemmas, "msd": msds, "ne_tag": nes,
104
  "is_manually_validated": is_manually_validated
105
  }
@@ -111,7 +131,7 @@ class Solar3(datasets.GeneratorBasedBuilder):
111
  """Šolar is a developmental corpus of school texts (e.g., essays), annotated with metadata and (partially)
112
  with teachers' corrections. """
113
 
114
- VERSION = datasets.Version("1.0.0")
115
 
116
  def _info(self):
117
  features = datasets.Features(
@@ -119,12 +139,8 @@ class Solar3(datasets.GeneratorBasedBuilder):
119
  "id_doc": datasets.Value("string"),
120
  "doc_title": datasets.Value("string"),
121
  "is_manually_validated": datasets.Value("bool"),
122
- "idx_src_par": datasets.Value("int32"),
123
- "idx_src_sent": datasets.Value("int32"),
124
  "id_src_tokens": datasets.Sequence(datasets.Value("string")),
125
  "src_tokens": datasets.Sequence(datasets.Value("string")),
126
- "idx_tgt_par": datasets.Value("int32"),
127
- "idx_tgt_sent": datasets.Value("int32"),
128
  "id_tgt_tokens": datasets.Sequence(datasets.Value("string")),
129
  "tgt_tokens": datasets.Sequence(datasets.Value("string")),
130
  "corrections": [
@@ -171,34 +187,46 @@ class Solar3(datasets.GeneratorBasedBuilder):
171
 
172
  for idx_corr, corrected_sent in enumerate(root.iterfind(f"{NAMESPACE}linkGrp")):
173
  involved_sents = corrected_sent.attrib["corresp"].split(" ")
174
- assert len(involved_sents) <= 2, f"The following correction has more than two sentences involved, " \
175
- f"which the script cannot handle: {corrected_sent.attrib}"
176
- if len(involved_sents) == 2:
177
- # not always ordered <source> <target>, sometimes reversed
178
- if "t" in involved_sents[0]:
179
- id_src_sent, id_tgt_sent = list(map(lambda _s: _s[1:], involved_sents[::-1]))
180
- else:
181
- id_src_sent, id_tgt_sent = list(map(lambda _s: _s[1:], involved_sents))
182
- else: # one sentence: only source or only target (usually a sentence marked as redundant or as missing)
183
- id_src_sent, id_tgt_sent = None, None
184
- if "t" in involved_sents[0]:
185
- id_tgt_sent = involved_sents[0][1:]
186
- else:
187
- id_src_sent = involved_sents[0][1:]
188
 
189
  id_doc, doc_title, is_manually_validated = None, None, False
190
  src_sent_data, tgt_sent_data = {}, {}
191
- assert id_src_sent is not None or id_tgt_sent is not None
192
- if id_src_sent is not None:
193
- src_sent_data = source_data[id_src_sent]
 
 
 
 
 
 
 
 
 
 
194
  id_doc = src_sent_data["id_doc"]
195
  doc_title = src_sent_data["doc_title"]
196
  is_manually_validated |= src_sent_data["is_manually_validated"]
197
- if id_tgt_sent is not None:
198
- tgt_sent_data = target_data[id_tgt_sent]
 
 
 
 
 
 
 
 
 
 
 
199
  id_doc = tgt_sent_data["id_doc"]
200
  doc_title = tgt_sent_data["doc_title"]
201
  is_manually_validated |= tgt_sent_data["is_manually_validated"]
 
 
202
 
203
  corr_data = []
204
  for token_info in corrected_sent.findall(f"{NAMESPACE}link"):
@@ -215,7 +243,7 @@ class Solar3(datasets.GeneratorBasedBuilder):
215
 
216
  for curr_tok in connections:
217
  # Token IDs have an index at the end, but it is 1-based; convert it to 0-based
218
- idx_tok = int(curr_tok.split(".")[-1]) - 1
219
  if "t" in curr_tok: # target token
220
  tgt_inds.append(idx_tok)
221
  else: # source token
@@ -227,12 +255,8 @@ class Solar3(datasets.GeneratorBasedBuilder):
227
  "id_doc": id_doc[:-1], # doc ID without the "s" or "t" info
228
  "doc_title": doc_title,
229
  "is_manually_validated": is_manually_validated,
230
- "idx_src_par": src_sent_data.get("idx_par", -1),
231
- "idx_src_sent": src_sent_data.get("idx_sent", -1),
232
  "id_src_tokens": src_sent_data.get("id_token", []),
233
  "src_tokens": src_sent_data.get("form", []),
234
- "idx_tgt_par": tgt_sent_data.get("idx_par", -1),
235
- "idx_tgt_sent": tgt_sent_data.get("idx_sent", -1),
236
  "id_tgt_tokens": tgt_sent_data.get("id_token", []),
237
  "tgt_tokens": tgt_sent_data.get("form", []),
238
  "corrections": corr_data
 
63
  return anns
64
 
65
 
66
+ def extract_sent_id(tok_id):
67
+ # e.g., `extract_sent_id("#solar1s.3.2.44") == "solar1s.3.2"` or `extract_sent_id("solar1s.3.2.44") == "solar1s.3.2"`
68
+ _tok_id = tok_id[1:] if tok_id.startswith("#") else tok_id
69
+ return ".".join(_tok_id.split(".")[: -1])
70
+
71
+
72
+ def find_involved_sents(correction_group_el):
73
+ src_sent_ids = set()
74
+ tgt_sent_ids = set()
75
+ for _curr_corr in correction_group_el:
76
+ sent_ids = list(map(lambda _tok_id: extract_sent_id(_tok_id),
77
+ _curr_corr.attrib["target"].split(" ")))
78
+
79
+ for _s_id in sent_ids:
80
+ if "t" in _s_id:
81
+ tgt_sent_ids.add(_s_id)
82
+ else:
83
+ src_sent_ids.add(_s_id)
84
+
85
+ return sorted(list(src_sent_ids)), sorted(list(tgt_sent_ids))
86
+
87
+
88
  def read_data(data_path):
89
  data = {} # ID_sent -> sentence_metadata
90
  tree = ET.parse(data_path)
 
120
  data[id_sent] = {
121
  "id_doc": id_text,
122
  "doc_title": text_title,
 
 
123
  "id_token": ids, "form": forms, "lemma": lemmas, "msd": msds, "ne_tag": nes,
124
  "is_manually_validated": is_manually_validated
125
  }
 
131
  """Šolar is a developmental corpus of school texts (e.g., essays), annotated with metadata and (partially)
132
  with teachers' corrections. """
133
 
134
+ VERSION = datasets.Version("3.0.0")
135
 
136
  def _info(self):
137
  features = datasets.Features(
 
139
  "id_doc": datasets.Value("string"),
140
  "doc_title": datasets.Value("string"),
141
  "is_manually_validated": datasets.Value("bool"),
 
 
142
  "id_src_tokens": datasets.Sequence(datasets.Value("string")),
143
  "src_tokens": datasets.Sequence(datasets.Value("string")),
 
 
144
  "id_tgt_tokens": datasets.Sequence(datasets.Value("string")),
145
  "tgt_tokens": datasets.Sequence(datasets.Value("string")),
146
  "corrections": [
 
187
 
188
  for idx_corr, corrected_sent in enumerate(root.iterfind(f"{NAMESPACE}linkGrp")):
189
  involved_sents = corrected_sent.attrib["corresp"].split(" ")
190
+ # Involved sentences according to the IDs of token mappings - 'corresp' does not list all of them!
191
+ # (possible bug in data)
192
+ involved_src_sents, involved_tgt_sents = find_involved_sents(corrected_sent)
 
 
 
 
 
 
 
 
 
 
 
193
 
194
  id_doc, doc_title, is_manually_validated = None, None, False
195
  src_sent_data, tgt_sent_data = {}, {}
196
+ tok2position = {}
197
+ assert len(involved_src_sents) > 0 or len(involved_tgt_sents) > 0
198
+
199
+ if len(involved_src_sents) > 0:
200
+ src_sent_data = source_data[involved_src_sents[0]]
201
+ for src_sent_id in involved_src_sents[1:]:
202
+ curr_sent_data = source_data[src_sent_id]
203
+ src_sent_data["id_token"].extend(curr_sent_data["id_token"])
204
+ src_sent_data["form"].extend(curr_sent_data["form"])
205
+ src_sent_data["lemma"].extend(curr_sent_data["lemma"])
206
+ src_sent_data["msd"].extend(curr_sent_data["msd"])
207
+ src_sent_data["ne_tag"].extend(curr_sent_data["ne_tag"])
208
+
209
  id_doc = src_sent_data["id_doc"]
210
  doc_title = src_sent_data["doc_title"]
211
  is_manually_validated |= src_sent_data["is_manually_validated"]
212
+ for _pos, _tok in enumerate(src_sent_data["id_token"]):
213
+ tok2position[_tok] = _pos
214
+
215
+ if len(involved_tgt_sents) > 0:
216
+ tgt_sent_data = target_data[involved_tgt_sents[0]]
217
+ for tgt_sent_id in involved_tgt_sents[1:]:
218
+ curr_sent_data = target_data[tgt_sent_id]
219
+ tgt_sent_data["id_token"].extend(curr_sent_data["id_token"])
220
+ tgt_sent_data["form"].extend(curr_sent_data["form"])
221
+ tgt_sent_data["lemma"].extend(curr_sent_data["lemma"])
222
+ tgt_sent_data["msd"].extend(curr_sent_data["msd"])
223
+ tgt_sent_data["ne_tag"].extend(curr_sent_data["ne_tag"])
224
+
225
  id_doc = tgt_sent_data["id_doc"]
226
  doc_title = tgt_sent_data["doc_title"]
227
  is_manually_validated |= tgt_sent_data["is_manually_validated"]
228
+ for _pos, _tok in enumerate(tgt_sent_data["id_token"]):
229
+ tok2position[_tok] = _pos
230
 
231
  corr_data = []
232
  for token_info in corrected_sent.findall(f"{NAMESPACE}link"):
 
243
 
244
  for curr_tok in connections:
245
  # Token IDs have an index at the end, but it is 1-based; convert it to 0-based
246
+ idx_tok = tok2position[curr_tok[1:]]
247
  if "t" in curr_tok: # target token
248
  tgt_inds.append(idx_tok)
249
  else: # source token
 
255
  "id_doc": id_doc[:-1], # doc ID without the "s" or "t" info
256
  "doc_title": doc_title,
257
  "is_manually_validated": is_manually_validated,
 
 
258
  "id_src_tokens": src_sent_data.get("id_token", []),
259
  "src_tokens": src_sent_data.get("form", []),
 
 
260
  "id_tgt_tokens": tgt_sent_data.get("id_token", []),
261
  "tgt_tokens": tgt_sent_data.get("form", []),
262
  "corrections": corr_data