File size: 3,434 Bytes
d4c7545 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 |
"""GAIA 2023 dataset."""
import json
import os
import datasets
_CITATION = """ """
_DESCRIPTION = """ """
_HOMEPAGE = ""
_LICENSE = ""
_NAMES = [
"2023_all",
"2023_level1",
"2023_level2",
"2023_level3",
]
YEAR_TO_LEVELS = {"2023": [1, 2, 3]}
separator = "_"
class GAIA_dataset(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("0.0.1")
# BUILDER_CONFIGS = [
# datasets.BuilderConfig(name=name, version=version, description=name)
# for name, version in zip(_NAMES, [VERSION] * len(_NAMES))
# ]
BUILDER_CONFIGS = [
datasets.BuilderConfig(name="default", version=VERSION, description="Default configuration"),
datasets.BuilderConfig(name="2023", version=VERSION, description="Configuration for year 2023"),
]
def _info(self):
features = datasets.Features(
{
"task_id": datasets.Value("string"),
"Question": datasets.Value("string"),
"Level": datasets.Value("string"),
"Final answer": datasets.Value("string"), # ? for test values
"file_name": datasets.Value("string"),
"file_path": datasets.Value("string"), # generated here
"Annotator Metadata": {k: datasets.Value("string") for k in ["Steps", "Number of steps", "How long did this take?", "Tools", "Number of tools"]} # "",
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
year, level_name = self.config.name.split(separator)
if level_name == "all":
levels = YEAR_TO_LEVELS[year]
else:
level_name = int(level_name.split("level")[1])
levels = [level_name]
print(year, level_name)
output = []
for split in ["test", "validation"]:
root_file = dl_manager.download(os.path.join(year, split, "metadata.jsonl"))
test_attached_files = {"": ""}
with open(root_file, "r", encoding="utf-8") as f:
for line in f:
cur_line = json.loads(line)
if cur_line["Level"] in levels and cur_line["file_name"] != "":
attached_file_name = cur_line["file_name"]
attached_file = dl_manager.download(os.path.join(year, split, attached_file_name))
test_attached_files[attached_file_name] = attached_file
output.append(
datasets.SplitGenerator(
name=getattr(datasets.Split, split.upper()),
gen_kwargs={"root_file": root_file, "attached_files": test_attached_files, "levels": levels},
)
)
return output
# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
def _generate_examples(self, root_file: str, attached_files: dict, levels: list[int]):
with open(root_file, "r", encoding="utf-8") as f:
for key, line in enumerate(f):
cur_line = json.loads(line)
if cur_line["Level"] in levels:
cur_line["file_path"] = attached_files[cur_line["file_name"]]
yield key, cur_line
|