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"""This module defines a HuggingFace dataset builder for the QT30 dataset used in the DialAM-2024 |
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shared task. See http://dialam.arg.tech/ for more information about the DialAM-2024 shared task. |
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Unfortunately, there are some nodesets that are not suitable for conversion to documents. These nodesets are |
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excluded from the dataset. The following nodesets are excluded: |
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- excluded by the organizers (23): 24255, 24807, 24808, 24809, 24903, 24905, 24992, 25045, 25441, 25442, |
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25443, 25444, 25445, 25452, 25461, 25462, 25463, 25465, 25468, 25472, 25473, 25474, 25475 |
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- excluded because of warning (6): "Could not align I-node (dummy-L-node was selected)": 21083, 18888, |
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23701, 18484, 17938, 19319 |
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- excluded because of error "could not determine direction of RA-nodes ... because there is no TA |
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relation between any combination of anchoring I-nodes!" (26): 25411, 25510, 25516, 25901, 25902, |
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25904, 25906, 25907, 25936, 25937, 25938, 25940, 26066, 26067, 26068, 26087, 17964, 18459, 19091, |
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19146, 19149, 19757, 19761, 19908, 21449, 23749 |
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- excluded because of error "S-node arguments are not unique!" (7): 25552, 19165, 22969, 21342, 25400, |
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21681, 23710 |
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- excluded because of error "direction of RA-node 587841 is ambiguous!" (16): 19059, 19217, 19878, 20479, |
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20507, 20510, 20766, 20844, 20888, 20992, 21401, 21477, 21588, 23114, 23766, 23891 |
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- excluded because of error "I-node texts are not unique!" (1): 19911 |
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- still problematic (19): 19897, 18321, 18877, 18874, 19174, 23552, 23799, 23517, 20729, 25691, 21023, |
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23144, 23120, 23560, 23892, 23959, 19173, 19918, 25511 |
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""" |
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import glob |
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import json |
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import logging |
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import os |
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import datasets |
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from datasets import Features, GeneratorBasedBuilder |
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logger = logging.getLogger(__name__) |
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DATA_URL = "http://dialam.arg.tech/res/files/dataset.zip" |
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SUBDIR = "dataset" |
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NODESET_BLACKLIST = [ |
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"24255", |
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"24807", |
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"24808", |
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"24809", |
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"24903", |
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"24905", |
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"24992", |
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"25045", |
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"25441", |
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"25442", |
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"25443", |
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"25444", |
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"25445", |
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"25452", |
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"25461", |
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"25462", |
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"25463", |
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"25465", |
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"25468", |
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"25472", |
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"25473", |
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"25474", |
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"25475", |
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"21083", |
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"18888", |
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"23701", |
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"18484", |
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"17938", |
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"19319", |
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"25411", |
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"25510", |
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"25516", |
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"25901", |
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"25902", |
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"25904", |
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"25906", |
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"25907", |
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"25936", |
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"25937", |
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"25938", |
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"25940", |
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"26066", |
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"26067", |
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"26068", |
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"26087", |
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"17964", |
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"18459", |
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"19091", |
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"19146", |
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"19149", |
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"19757", |
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"19761", |
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"19908", |
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"21449", |
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"23749", |
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"25552", |
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"19165", |
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"22969", |
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"21342", |
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"25400", |
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"21681", |
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"23710", |
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"19059", |
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"19217", |
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"19878", |
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"20479", |
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"20507", |
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"20510", |
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"20766", |
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"20844", |
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"20888", |
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"20992", |
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"21401", |
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"21477", |
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"21588", |
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"23114", |
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"23766", |
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"23891", |
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"19911", |
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"19897", |
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"18321", |
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"18877", |
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"18874", |
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"19174", |
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"23552", |
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"23799", |
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"23517", |
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"20729", |
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"25691", |
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"21023", |
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"23144", |
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"23120", |
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"23560", |
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"23892", |
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"23959", |
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"19173", |
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"19918", |
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"25511", |
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] |
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def is_blacklisted(nodeset_filename: str) -> bool: |
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nodeset_id = get_node_id_from_filename(nodeset_filename) |
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return nodeset_id in NODESET_BLACKLIST |
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def get_node_id_from_filename(filename: str) -> str: |
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"""Get the ID of a nodeset from a filename.""" |
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return filename.split("nodeset")[1].split(".json")[0] |
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class DialAM2024(GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name="dialam_2024", |
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version=datasets.Version("1.0.0"), |
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description="DialAM-2024 dataset", |
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), |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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features=Features( |
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{ |
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"id": datasets.Value("string"), |
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"nodes": datasets.Sequence( |
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{ |
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"nodeID": datasets.Value("string"), |
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"text": datasets.Value("string"), |
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"type": datasets.Value("string"), |
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"timestamp": datasets.Value("string"), |
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} |
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), |
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"edges": datasets.Sequence( |
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{ |
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"edgeID": datasets.Value("string"), |
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"fromID": datasets.Value("string"), |
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"toID": datasets.Value("string"), |
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"formEdgeID": datasets.Value("string"), |
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} |
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), |
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"locutions": datasets.Sequence( |
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{ |
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"nodeID": datasets.Value("string"), |
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"personID": datasets.Value("string"), |
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"timestamp": datasets.Value("string"), |
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"start": datasets.Value("string"), |
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"end": datasets.Value("string"), |
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"source": datasets.Value("string"), |
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} |
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), |
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} |
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) |
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) |
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def _split_generators(self, dl_manager): |
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"""We handle string, list and dicts in datafiles.""" |
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if dl_manager.manual_dir is None: |
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data_dir = os.path.join(dl_manager.download_and_extract(DATA_URL), SUBDIR) |
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else: |
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data_dir = os.path.abspath(dl_manager.manual_dir) |
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file_names = glob.glob(os.path.join(data_dir, "*.json")) |
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file_names_filtered = sorted([fn for fn in file_names if not is_blacklisted(fn)]) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"file_names": file_names_filtered}, |
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) |
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] |
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def _generate_examples(self, file_names): |
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idx = 0 |
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for file_name in file_names: |
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with open(file_name, encoding="utf-8", errors=None) as f: |
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data = json.load(f) |
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data["id"] = get_node_id_from_filename(file_name) |
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for node in data["nodes"]: |
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node.pop("scheme", None) |
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node.pop("schemeID", None) |
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yield idx, data |
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idx += 1 |
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