lara-martin
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Parent(s):
3530a96
Update FIREBALL.py
Browse files- FIREBALL.py +3 -15
FIREBALL.py
CHANGED
@@ -24,8 +24,6 @@ import datasets
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from datasets import Features
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# TODO: Add BibTeX citation
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# Find for instance the citation on arxiv or on the dataset repo/website
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_CITATION = """\
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@inproceedings{Zhu2023FIREBALL,
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title={{FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information}},
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@@ -40,20 +38,11 @@ publisher={ACL},
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doi={10.18653/v1/2023.acl-long.229}
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}
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"""
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_DESCRIPTION = """\
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FIREBALL Dungeons & Dragons data with narrative and Avrae scripting commands.
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"""
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_HOMEPAGE = "https://github.com/zhudotexe/FIREBALL"
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# TODO: Add the licence for the dataset here if you can find it
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_LICENSE = "cc-by-4.0"
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# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
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# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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_URLS = {
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"FIREBALL": "https://huggingface.co/datasets/lara-martin/FIREBALL/raw/main/"
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}
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@@ -184,12 +173,11 @@ class Fireball(datasets.GeneratorBasedBuilder):
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# dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
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# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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#data_dir = dl_manager.download_and_extract(urls)
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file_list = dl_manager.download(url+"files.txt")
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with open(file_list) as f:
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data_filenames = [line.strip() for line in f if line]
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data_urls = dl_manager.download([url+"filtered/00068c6b03adc2c102756053cf6edd05.jsonl"])
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downloaded_files = dl_manager.download(data_urls)
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return [
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datasets.SplitGenerator(
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@@ -203,7 +191,7 @@ class Fireball(datasets.GeneratorBasedBuilder):
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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def _generate_examples(self, filepath):
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#
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# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
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key = 0
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for file in filepath:
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from datasets import Features
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_CITATION = """\
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@inproceedings{Zhu2023FIREBALL,
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title={{FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information}},
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doi={10.18653/v1/2023.acl-long.229}
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}
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"""
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_DESCRIPTION = """\
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FIREBALL Dungeons & Dragons data with narrative and Avrae scripting commands.
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"""
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_HOMEPAGE = "https://github.com/zhudotexe/FIREBALL"
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_LICENSE = "cc-by-4.0"
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_URLS = {
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"FIREBALL": "https://huggingface.co/datasets/lara-martin/FIREBALL/raw/main/"
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}
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# dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
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# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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file_list = dl_manager.download(url+"files.txt")
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with open(file_list) as f:
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data_filenames = [line.strip() for line in f if line]
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data_urls = dl_manager.download([url+"filtered/"+data_filename for data_filename in data_filenames])
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# data_urls = dl_manager.download([url+"filtered/00068c6b03adc2c102756053cf6edd05.jsonl"])
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downloaded_files = dl_manager.download(data_urls)
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return [
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datasets.SplitGenerator(
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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def _generate_examples(self, filepath):
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# This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
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key = 0
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for file in filepath:
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