Datasets:
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# time_mmd_multi.py
import os, json, datasets
_DESCRIPTION = (
"Time-MMD-style multi-config dataset. One config per subfolder under data/."
)
_CITATION = ""
def _config_names():
here = os.path.dirname(__file__)
cfg_path = os.path.join(here, "configs.json")
with open(cfg_path, "r", encoding="utf-8") as f:
return json.load(f)
class _Cfg(datasets.BuilderConfig):
def __init__(self, name, **kwargs):
super().__init__(name=name, version=datasets.Version("1.0.0"), **kwargs)
self.subdir = name
class TimeMMDMulti(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
_Cfg(name=n, description=f"Subset: {n}") for n in _config_names()
]
DEFAULT_CONFIG_NAME = BUILDER_CONFIGS[0].name if BUILDER_CONFIGS else None
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"batch_x": datasets.Sequence(
datasets.Sequence(datasets.Value("float32"))
),
"batch_y": datasets.Sequence(
datasets.Sequence(datasets.Value("float32"))
),
"pred_len": datasets.Value("int32"),
"split": datasets.Value("string"),
"domain": datasets.Value("string"),
}
),
citation=_CITATION,
)
def _split_generators(self, dl_manager):
root = os.path.dirname(__file__)
d = os.path.join(root, "data", self.config.subdir)
paths = {
"train": os.path.join(d, "train.jsonl"),
"validation": os.path.join(d, "validation.jsonl"),
"test": os.path.join(d, "test.jsonl"),
}
gens = []
for name, p in paths.items():
if os.path.exists(p):
gens.append(
datasets.SplitGenerator(
name=getattr(datasets.Split, name.upper()),
gen_kwargs={
"filepath": p,
"split_name": name,
"domain": self.config.subdir,
},
)
)
return gens
def _generate_examples(self, filepath, split_name, domain):
with open(filepath, "r", encoding="utf-8") as f:
for i, line in enumerate(f):
obj = json.loads(line)
obj.setdefault("pred_len", len(obj.get("batch_y", [])))
obj.setdefault("split", split_name)
obj.setdefault("domain", domain)
yield i, obj
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