Convert to Parquet format (remove legacy loading script) (#4)

- Add Parquet data files for all configs (519230111b28774e355edbf686b6340aa3eac70c)
- Remove legacy loading script and dataset_infos.json (28c1b80d979d0c1aafe64d0cf17c1b64027bda0b)
- Add config definitions to README frontmatter (644fcc8b98bc29cb02b6d7079a2cb4aac63aed06)


Co-authored-by: Daniel van Strien <davanstrien@users.noreply.huggingface.co>

README.md

@@ -266,6 +266,20 @@ config_names:
 - annotated_raw
 - raw
 - title_genre_classifiction
+configs:
+  - config_name: title_genre_classifiction
+    data_files:
+      - split: train
+        path: data/title_genre_classifiction/*.parquet
+  - config_name: annotated_raw
+    data_files:
+      - split: train
+        path: data/annotated_raw/*.parquet
+  - config_name: raw
+    data_files:
+      - split: train
+        path: data/raw/*.parquet
+default_config_name: title_genre_classifiction
 ---
 
 # Dataset Card for blbooksgenre

blbooksgenre.py

@@ -1,340 +0,0 @@
-# coding=utf-8
-# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""British Library Books Genre Dataset"""
-
-import ast
-import csv
-from datetime import datetime
-from typing import Dict, List
-
-import datasets
-
-
-_CITATION = """\
-@misc{british library_genre,
-title={ 19th Century Books - metadata with additional crowdsourced annotations},
-url={https://doi.org/10.23636/BKHQ-0312},
-author={{British Library} and  Morris, Victoria and van Strien, Daniel and Tolfo, Giorgia and Afric, Lora and Robertson, Stewart and Tiney, Patricia and Dogterom, Annelies and Wollner, Ildi},
-year={2021}}
-"""
-
-_DESCRIPTION = """\
-This dataset contains metadata for resources belonging to the British Library’s digitised printed books (18th-19th century) collection (bl.uk/collection-guides/digitised-printed-books).
-This metadata has been extracted from British Library catalogue records.
-The metadata held within our main catalogue is updated regularly.
-This metadata dataset should be considered a snapshot of this metadata.
-"""
-
-_HOMEPAGE = "doi.org/10.23636/BKHQ-0312"
-
-_LICENSE = "CC0 1.0 Universal Public Domain"
-
-
-_URL = "https://bl.iro.bl.uk/downloads/36c7cd20-c8a7-4495-acbe-469b9132c6b1?locale=en"
-
-common_features = {
-    "BL record ID": datasets.Value("string"),
-    "Name": datasets.Value("string"),
-    "Dates associated with name": datasets.Value("string"),
-    "Type of name": datasets.Value("string"),
-    "Role": datasets.Value("string"),
-    "All names": datasets.features.Sequence(datasets.Value("string")),
-    "Title": datasets.Value("string"),
-    "Variant titles": datasets.Value("string"),
-    "Series title": datasets.Value("string"),
-    "Number within series": datasets.Value("string"),
-    "Country of publication": datasets.Sequence(datasets.Value("string")),
-    "Place of publication": datasets.Sequence(datasets.Value("string")),
-    "Publisher": datasets.Value("string"),
-    "Date of publication": datasets.Value("string"),
-    "Edition": datasets.Value("string"),
-    "Physical description": datasets.Value("string"),
-    "Dewey classification": datasets.Value("string"),
-    "BL shelfmark": datasets.Value("string"),
-    "Topics": datasets.Value("string"),
-    "Genre": datasets.Value("string"),
-    "Languages": datasets.features.Sequence(datasets.Value("string")),
-    "Notes": datasets.Value("string"),
-    "BL record ID for physical resource": datasets.Value("string"),
-    "classification_id": datasets.Value("string"),
-    "user_id": datasets.Value("string"),
-    "subject_ids": datasets.Value("string"),
-    "annotator_date_pub": datasets.Value("string"),
-    "annotator_normalised_date_pub": datasets.Value("string"),
-    "annotator_edition_statement": datasets.Value("string"),
-    "annotator_FAST_genre_terms": datasets.Value("string"),
-    "annotator_FAST_subject_terms": datasets.Value("string"),
-    "annotator_comments": datasets.Value("string"),
-    "annotator_main_language": datasets.Value("string"),
-    "annotator_other_languages_summaries": datasets.Value("string"),
-    "annotator_summaries_language": datasets.Value("string"),
-    "annotator_translation": datasets.Value("string"),
-    "annotator_original_language": datasets.Value("string"),
-    "annotator_publisher": datasets.Value("string"),
-    "annotator_place_pub": datasets.Value("string"),
-    "annotator_country": datasets.Value("string"),
-    "annotator_title": datasets.Value("string"),
-    "Link to digitised book": datasets.Value("string"),
-    "annotated": datasets.Value("bool"),
-}
-
-raw_features = datasets.Features(
-    {
-        **common_features,
-        **{
-            "Type of resource": datasets.features.ClassLabel(
-                names=["Monograph", "Serial", "Monographic component part"]
-            ),
-            "created_at": datasets.Value("string"),
-            "annotator_genre": datasets.Value("string"),
-        },
-    }
-)
-
-annotated_raw_features = datasets.Features(
-    {
-        **common_features,
-        **{
-            "Type of resource": datasets.features.ClassLabel(
-                names=[
-                    "Monograph",
-                    "Serial",
-                ]
-            ),
-            "created_at": datasets.Value("timestamp[s]"),
-            "annotator_genre": datasets.features.ClassLabel(
-                names=[
-                    "Fiction",
-                    "Can't tell",
-                    "Non-fiction",
-                    "The book contains both Fiction and Non-Fiction",
-                ]
-            ),
-        },
-    }
-)
-
-
-class BlBooksGenre(datasets.GeneratorBasedBuilder):
-
-    VERSION = datasets.Version("1.1.0")
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="title_genre_classifiction",
-            version=VERSION,
-            description="This part of my dataset covers a first domain",
-        ),
-        datasets.BuilderConfig(
-            name="annotated_raw",
-            version=VERSION,
-            description="""\
-                This version of the dataset includes all fields from the original dataset which are annotated.
-                This includes duplication from different annotators""",
-        ),
-        datasets.BuilderConfig(
-            name="raw",
-            version=VERSION,
-            description="""\
-            This version of the dataset includes all the fields from the original dataset including rows without annotation.
-            It includes duplications from different annotators""",
-        ),
-    ]
-
-    DEFAULT_CONFIG_NAME = "title_genre_classifiction"
-
-    def _info(self):
-        if self.config.name == "title_genre_classifiction":
-            features = datasets.Features(
-                {
-                    "BL record ID": datasets.Value("string"),
-                    "title": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(names=["Fiction", "Non-fiction"]),
-                }
-            )
-        if self.config.name == "annotated_raw":
-            features = annotated_raw_features
-        if self.config.name == "raw":
-            features = raw_features
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        data_file = dl_manager.download(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": data_file,
-                    "split": "train",
-                },
-            ),
-        ]
-
-    def _parse_language(self, row: Dict) -> List[str]:
-        languages = row["Languages"]
-        if not languages:
-            return []
-        return languages.split(";")
-
-    def _parse_country(self, row: Dict) -> List[str]:
-        return row["Country of publication"].split(";") if row["Country of publication"] else []
-
-    def _parse_place_of_publication(self, row: Dict) -> List[str]:
-        return row["Place of publication"].split(";") if row["Place of publication"] else []
-
-    def _parse_all_names(self, row: Dict) -> List[str]:
-        return row["All names"].split(";") if row["All names"] else []
-
-    def _generate_examples(self, filepath, split):
-        """Yields examples as (key, example) tuples."""
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.DictReader(f)
-            if self.config.name == "title_genre_classifiction":
-                unique = set()
-                id_ = 0
-                for row in reader:
-                    annotated = ast.literal_eval(row["annotated"])
-                    if not annotated:
-                        continue
-                    label = row["annotator_genre"]
-                    if label not in {"Fiction", "Non-fiction"}:
-                        continue
-                    title = row["Title"]
-                    if title in unique:
-                        continue
-                    unique.add(title)
-                    id_ += 1
-                    yield id_, {
-                        "BL record ID": row["BL record ID"],
-                        "title": title,
-                        "label": label,
-                    }
-            if self.config.name == "annotated_raw":
-                id_ = 0
-                for row in reader:
-                    annotated = ast.literal_eval(row["annotated"])
-                    if not annotated:
-                        continue
-                    created_at = datetime.strptime(row["created_at"], "%Y-%m-%d %H:%M:%S %Z")
-                    id_ += 1
-                    yield id_, {
-                        "BL record ID": row["BL record ID"],
-                        "Type of resource": row["Type of resource"],
-                        "Name": row["Name"],
-                        "Dates associated with name": row["Dates associated with name"],
-                        "Type of name": row["Type of name"],
-                        "Role": row["Role"],
-                        "All names": self._parse_all_names(row),
-                        "Title": row["Title"],
-                        "Variant titles": row["Variant titles"],
-                        "Series title": row["Series title"],
-                        "Number within series": row["Number within series"],
-                        "Country of publication": self._parse_country(row),
-                        "Place of publication": self._parse_place_of_publication(row),
-                        "Publisher": row["Publisher"],
-                        "Date of publication": row["Date of publication"],
-                        "Edition": row["Edition"],
-                        "Physical description": row["Physical description"],
-                        "Dewey classification": row["Dewey classification"],
-                        "BL shelfmark": row["BL shelfmark"],
-                        "Topics": row["Topics"],
-                        "Genre": row["Genre"],
-                        "Languages": self._parse_language(row),
-                        "Notes": row["Notes"],
-                        "BL record ID for physical resource": row["BL record ID for physical resource"],
-                        "classification_id": row["classification_id"],
-                        "user_id": row["user_id"],
-                        "created_at": created_at,
-                        "subject_ids": row["subject_ids"],
-                        "annotator_date_pub": row["annotator_date_pub"],
-                        "annotator_normalised_date_pub": row["annotator_normalised_date_pub"],
-                        "annotator_edition_statement": row["annotator_edition_statement"],
-                        "annotator_genre": row["annotator_genre"],
-                        "annotator_FAST_genre_terms": row["annotator_FAST_genre_terms"],
-                        "annotator_FAST_subject_terms": row["annotator_FAST_subject_terms"],
-                        "annotator_comments": row["annotator_comments"],
-                        "annotator_main_language": row["annotator_main_language"],
-                        "annotator_other_languages_summaries": row["annotator_other_languages_summaries"],
-                        "annotator_summaries_language": row["annotator_summaries_language"],
-                        "annotator_translation": row["annotator_translation"],
-                        "annotator_original_language": row["annotator_original_language"],
-                        "annotator_publisher": row["annotator_publisher"],
-                        "annotator_place_pub": row["annotator_place_pub"],
-                        "annotator_country": row["annotator_country"],
-                        "annotator_title": row["annotator_title"],
-                        "Link to digitised book": row["Link to digitised book"],
-                        "annotated": annotated,
-                    }
-            if self.config.name == "raw":
-                for id_, row in enumerate(reader):
-
-                    yield id_, {
-                        "BL record ID": row["BL record ID"],
-                        "Type of resource": row["Type of resource"],
-                        "Name": row["Name"],
-                        "Dates associated with name": row["Dates associated with name"],
-                        "Type of name": row["Type of name"],
-                        "Role": row["Role"],
-                        "All names": self._parse_all_names(row),
-                        "Title": row["Title"],
-                        "Variant titles": row["Variant titles"],
-                        "Series title": row["Series title"],
-                        "Number within series": row["Number within series"],
-                        "Country of publication": self._parse_country(row),
-                        "Place of publication": self._parse_place_of_publication(row),
-                        "Publisher": row["Publisher"],
-                        "Date of publication": row["Date of publication"],
-                        "Edition": row["Edition"],
-                        "Physical description": row["Physical description"],
-                        "Dewey classification": row["Dewey classification"],
-                        "BL shelfmark": row["BL shelfmark"],
-                        "Topics": row["Topics"],
-                        "Genre": row["Genre"],
-                        "Languages": self._parse_language(row),
-                        "Notes": row["Notes"],
-                        "BL record ID for physical resource": row["BL record ID for physical resource"],
-                        "classification_id": row["classification_id"],
-                        "user_id": row["user_id"],
-                        "created_at": row["created_at"],
-                        "subject_ids": row["subject_ids"],
-                        "annotator_date_pub": row["annotator_date_pub"],
-                        "annotator_normalised_date_pub": row["annotator_normalised_date_pub"],
-                        "annotator_edition_statement": row["annotator_edition_statement"],
-                        "annotator_genre": row["annotator_genre"],
-                        "annotator_FAST_genre_terms": row["annotator_FAST_genre_terms"],
-                        "annotator_FAST_subject_terms": row["annotator_FAST_subject_terms"],
-                        "annotator_comments": row["annotator_comments"],
-                        "annotator_main_language": row["annotator_main_language"],
-                        "annotator_other_languages_summaries": row["annotator_other_languages_summaries"],
-                        "annotator_summaries_language": row["annotator_summaries_language"],
-                        "annotator_translation": row["annotator_translation"],
-                        "annotator_original_language": row["annotator_original_language"],
-                        "annotator_publisher": row["annotator_publisher"],
-                        "annotator_place_pub": row["annotator_place_pub"],
-                        "annotator_country": row["annotator_country"],
-                        "annotator_title": row["annotator_title"],
-                        "Link to digitised book": row["Link to digitised book"],
-                        "annotated": ast.literal_eval(row["annotated"]),
-                    }

data/annotated_raw/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:a0daba1180ac7e817bf2699c90154058e0353e7ab19939c4ebe4b424f33b1b81
+size 780619

data/raw/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:790cf28986f9c4a4f205387b58be428cd25be7f943de179733c9360a1b307eb7
+size 8912992

data/title_genre_classifiction/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af294bab09a0e5c1daebd39e16e22073da2a7125c2281c6821da19ed69b3ab6d
+size 117810

dataset_infos.json

@@ -1 +0,0 @@
-{"title_genre_classifiction": {"description": "This dataset contains metadata for resources belonging to the British Library\u2019s digitised printed books (18th-19th century) collection (bl.uk/collection-guides/digitised-printed-books).\nThis metadata has been extracted from British Library catalogue records.\nThe metadata held within our main catalogue is updated regularly.\nThis metadata dataset should be considered a snapshot of this metadata.\n", "citation": "@misc{british library_genre,\ntitle={ 19th Century Books - metadata with additional crowdsourced annotations},\nurl={https://doi.org/10.23636/BKHQ-0312},\nauthor={{British Library} and  Morris, Victoria and van Strien, Daniel and Tolfo, Giorgia and Afric, Lora and Robertson, Stewart and Tiney, Patricia and Dogterom, Annelies and Wollner, Ildi},\nyear={2021}}\n", "homepage": "doi.org/10.23636/BKHQ-0312", "license": "CC0 1.0 Universal Public Domain", "features": {"BL record ID": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["Fiction", "Non-fiction"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "bl_books_genre", "config_name": "title_genre_classifiction", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 187600, "num_examples": 1736, "dataset_name": "bl_books_genre"}}, "download_checksums": {"https://bl.iro.bl.uk/downloads/36c7cd20-c8a7-4495-acbe-469b9132c6b1?locale=en": {"num_bytes": 20111420, "checksum": "79b6e09e29bb41b5a5e959134d977b3408eaee786810931d5cfc949135bfcabe"}}, "download_size": 20111420, "post_processing_size": null, "dataset_size": 187600, "size_in_bytes": 20299020}, "annotated_raw": {"description": "This dataset contains metadata for resources belonging to the British Library\u2019s digitised printed books (18th-19th century) collection (bl.uk/collection-guides/digitised-printed-books).\nThis metadata has been extracted from British Library catalogue records.\nThe metadata held within our main catalogue is updated regularly.\nThis metadata dataset should be considered a snapshot of this metadata.\n", "citation": "@misc{british library_genre,\ntitle={ 19th Century Books - metadata with additional crowdsourced annotations},\nurl={https://doi.org/10.23636/BKHQ-0312},\nauthor={{British Library} and  Morris, Victoria and van Strien, Daniel and Tolfo, Giorgia and Afric, Lora and Robertson, Stewart and Tiney, Patricia and Dogterom, Annelies and Wollner, Ildi},\nyear={2021}}\n", "homepage": "doi.org/10.23636/BKHQ-0312", "license": "CC0 1.0 Universal Public Domain", "features": {"BL record ID": {"dtype": "string", "id": null, "_type": "Value"}, "Name": {"dtype": "string", "id": null, "_type": "Value"}, "Dates associated with name": {"dtype": "string", "id": null, "_type": "Value"}, "Type of name": {"dtype": "string", "id": null, "_type": "Value"}, "Role": {"dtype": "string", "id": null, "_type": "Value"}, "All names": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "Title": {"dtype": "string", "id": null, "_type": "Value"}, "Variant titles": {"dtype": "string", "id": null, "_type": "Value"}, "Series title": {"dtype": "string", "id": null, "_type": "Value"}, "Number within series": {"dtype": "string", "id": null, "_type": "Value"}, "Country of publication": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "Place of publication": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "Publisher": {"dtype": "string", "id": null, "_type": "Value"}, "Date of publication": {"dtype": "string", "id": null, "_type": "Value"}, "Edition": {"dtype": "string", "id": null, "_type": "Value"}, "Physical description": {"dtype": "string", "id": null, "_type": "Value"}, "Dewey classification": {"dtype": "string", "id": null, "_type": "Value"}, "BL shelfmark": {"dtype": "string", "id": null, "_type": "Value"}, "Topics": {"dtype": "string", "id": null, "_type": "Value"}, "Genre": {"dtype": "string", "id": null, "_type": "Value"}, "Languages": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "Notes": {"dtype": "string", "id": null, "_type": "Value"}, "BL record ID for physical resource": {"dtype": "string", "id": null, "_type": "Value"}, "classification_id": {"dtype": "string", "id": null, "_type": "Value"}, "user_id": {"dtype": "string", "id": null, "_type": "Value"}, "subject_ids": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_date_pub": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_normalised_date_pub": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_edition_statement": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_FAST_genre_terms": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_FAST_subject_terms": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_comments": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_main_language": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_other_languages_summaries": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_summaries_language": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_translation": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_original_language": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_publisher": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_place_pub": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_country": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_title": {"dtype": "string", "id": null, "_type": "Value"}, "Link to digitised book": {"dtype": "string", "id": null, "_type": "Value"}, "annotated": {"dtype": "bool", "id": null, "_type": "Value"}, "Type of resource": {"num_classes": 2, "names": ["Monograph", "Serial"], "names_file": null, "id": null, "_type": "ClassLabel"}, "created_at": {"dtype": "timestamp[s]", "id": null, "_type": "Value"}, "annotator_genre": {"num_classes": 4, "names": ["Fiction", "Can't tell", "Non-fiction", "The book contains both Fiction and Non-Fiction"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "bl_books_genre", "config_name": "annotated_raw", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3583138, "num_examples": 4398, "dataset_name": "bl_books_genre"}}, "download_checksums": {"https://bl.iro.bl.uk/downloads/36c7cd20-c8a7-4495-acbe-469b9132c6b1?locale=en": {"num_bytes": 20111420, "checksum": "79b6e09e29bb41b5a5e959134d977b3408eaee786810931d5cfc949135bfcabe"}}, "download_size": 20111420, "post_processing_size": null, "dataset_size": 3583138, "size_in_bytes": 23694558}, "raw": {"description": "This dataset contains metadata for resources belonging to the British Library\u2019s digitised printed books (18th-19th century) collection (bl.uk/collection-guides/digitised-printed-books).\nThis metadata has been extracted from British Library catalogue records.\nThe metadata held within our main catalogue is updated regularly.\nThis metadata dataset should be considered a snapshot of this metadata.\n", "citation": "@misc{british library_genre,\ntitle={ 19th Century Books - metadata with additional crowdsourced annotations},\nurl={https://doi.org/10.23636/BKHQ-0312},\nauthor={{British Library} and  Morris, Victoria and van Strien, Daniel and Tolfo, Giorgia and Afric, Lora and Robertson, Stewart and Tiney, Patricia and Dogterom, Annelies and Wollner, Ildi},\nyear={2021}}\n", "homepage": "doi.org/10.23636/BKHQ-0312", "license": "CC0 1.0 Universal Public Domain", "features": {"BL record ID": {"dtype": "string", "id": null, "_type": "Value"}, "Name": {"dtype": "string", "id": null, "_type": "Value"}, "Dates associated with name": {"dtype": "string", "id": null, "_type": "Value"}, "Type of name": {"dtype": "string", "id": null, "_type": "Value"}, "Role": {"dtype": "string", "id": null, "_type": "Value"}, "All names": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "Title": {"dtype": "string", "id": null, "_type": "Value"}, "Variant titles": {"dtype": "string", "id": null, "_type": "Value"}, "Series title": {"dtype": "string", "id": null, "_type": "Value"}, "Number within series": {"dtype": "string", "id": null, "_type": "Value"}, "Country of publication": {"feature": {"dtype": "string", 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