update script to incorporate data from records

evi.py

@@ -20,9 +20,10 @@ for spoken dialogue systems.
 
 
 import csv
+from datetime import datetime
 import json
 import os
-from pathlib import Path
+import warnings
 
 import datasets
 
@@ -58,10 +59,14 @@ _HOMEPAGE = "https://github.com/PolyAI-LDN/evi-paper"
 
 _BASE_URL = "https://huggingface.co/datasets/PolyAI/evi/resolve/main/data"
 
-_TEXT_URL = {
+_TEXTS_URL = {
     lang: os.path.join(_BASE_URL, f"dialogues.{lang.split('-')[0]}.tsv") for lang in _LANGS
 }
 
+_RECORDS_URL = {
+    lang: os.path.join(_BASE_URL, f"records.{lang.split('-')[0]}.csv") for lang in _LANGS
+}
+
 _AUDIO_DATA_URL = "https://poly-public-data.s3.eu-west-2.amazonaws.com/evi-paper/audios.zip"  # noqa
 
 _VERSION = datasets.Version("0.0.1", "")
@@ -86,14 +91,21 @@ class Evi(datasets.GeneratorBasedBuilder):
         features = datasets.Features(
             {
                 "language": datasets.ClassLabel(names=_LANGS),
+                "audio": datasets.Audio(sampling_rate=8_000),
+                "asr_transcription": datasets.Value("string"),
                 "dialogue_id": datasets.Value("string"),
                 "speaker_id": datasets.Value("string"),
                 "turn_id": datasets.Value("int32"),
                 "target_profile_id": datasets.Value("string"),
-                "asr_transcription": datasets.Value("string"),
                 "asr_nbest": datasets.Sequence(datasets.Value("string")),
                 "path": datasets.Value("string"),
-                "audio": datasets.Audio(sampling_rate=8_000),
+                "postcode": datasets.Value("string"),
+                "name": datasets.Value("string"),
+                "dob": datasets.Value("date64"),
+                "name_first": datasets.Value("string"),
+                "name_last": datasets.Value("string"),
+                "sex": datasets.ClassLabel(names=["F", "M"]),  # TODO: are there other genders or Nones?
+                "email": datasets.Value("string"),
             }
         )
 
@@ -108,10 +120,14 @@ class Evi(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         langs = self.config.languages
+        lang2records_urls = {
+            lang: _RECORDS_URL[lang] for lang in langs
+        }
         lang2text_urls = {
-            lang: _TEXT_URL[lang] for lang in langs
+            lang: _TEXTS_URL[lang] for lang in langs
         }
-        lang2text_paths = dl_manager.download_and_extract(lang2text_urls)
+        records_paths = dl_manager.download_and_extract(lang2records_urls)
+        text_paths = dl_manager.download_and_extract(lang2text_urls)
         audio_data_path = dl_manager.download_and_extract(_AUDIO_DATA_URL)
 
         return [
@@ -119,20 +135,32 @@ class Evi(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 gen_kwargs={
                     "audio_data_path": audio_data_path,
-                    "text_paths": lang2text_paths,
+                    "text_paths": text_paths,
+                    "records_paths": records_paths,
                 },
             )
         ]
 
-    def _generate_examples(self, audio_data_path, text_paths):
+    def _generate_examples(self, audio_data_path, text_paths, records_paths):
+        for lang, text_path in text_paths.items():
+
+            records_path = records_paths[lang]
+            records = dict()
+            with open(records_path, encoding="utf-8") as fin:
+                records_reader = csv.DictReader(
+                    fin, delimiter=",", skipinitialspace=True
+                )
+                for row in records_reader:
+                    records[row["scenario_id"]] = row
+                    records[row["scenario_id"]]["dob"] = datetime.strptime(row["dob"], "%Y-%m-%d")
+                    _ = records[row["scenario_id"]].pop("scenario_id")
 
-        for lang in text_paths.keys():
-            text_path = text_paths[lang]
             with open(text_path, encoding="utf-8") as fin:
-                reader = csv.DictReader(
+                texts_reader = csv.DictReader(
                     fin, delimiter="\t", skipinitialspace=True
                 )
-                for dictrow in reader:
+                i = 0
+                for dictrow in texts_reader:
                     dialogue_id = dictrow["dialogue_id"]
                     turn_id = dictrow["turn_num"]
                     file_path = os.path.join(
@@ -142,15 +170,29 @@ class Evi(datasets.GeneratorBasedBuilder):
                         f'{turn_id}.wav'
                     )
                     full_path = os.path.join(audio_data_path, file_path)
+                    if not full_path.startswith("zip") and not os.path.isfile(full_path):
+                        warnings.warn(f"{full_path} not found.")
+                        continue
+
+                    target_profile_id = dictrow["scenario_id"]
+                    if target_profile_id not in records:
+                        warnings.warn(
+                            f"""
+                            Record with scenario_id {target_profile_id} not found, ignoring this dialogue. 
+                            Full dialogue info: {dictrow}
+                            """
+                        )
+                        continue
 
                     yield file_path, {
                         "language": lang,
+                        "audio": str(full_path),
                         "dialogue_id": dialogue_id,
                         "speaker_id": dictrow["speaker_id"],
                         "turn_id": turn_id,
-                        "target_profile_id": dictrow["scenario_id"],
+                        "target_profile_id": target_profile_id,
                         "asr_transcription": dictrow["transcription"],
                         "asr_nbest": json.loads(dictrow["nbest"]),
                         "path": file_path,
-                        "audio": str(full_path)
+                        **records[target_profile_id]
                     }