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import json
import datasets
_DESCRIPTION = "Neural data with intent context"
_CITATION = ""
_HOMEPAGE = ""
_LICENSE = ""
class NeuralData(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({
"timestamp": datasets.Value("int64"),
"session_time": datasets.Value("int64"),
"channels": {
f"channel_{i}": datasets.Value("float64") for i in range(32)
},
"intent_context": {
"mouse_movement": datasets.Sequence(datasets.Value("int64")),
"keyboard_state": {
"mouse": datasets.Value("bool")
},
"camera_rotation": datasets.Sequence(datasets.Value("float64")),
"active_targets": datasets.Value("int64")
}
}),
supervised_keys=None,
homepage=_HOMEPAGE,
citation=_CITATION,
license=_LICENSE,
)
def _split_generators(self, dl_manager):
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepath": "neural_data.txt"}
)
]
def _generate_examples(self, filepath):
with open(filepath, "r") as f:
for idx, line in enumerate(f):
if line.strip():
data = json.loads(line)
yield idx, data |