File size: 4,534 Bytes
fcef3e9 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 | import os
import json
from datasets import GeneratorBasedBuilder, DatasetInfo, BuilderConfig, SplitGenerator, Split, Features, Value, Sequence
class AssetOpsBenchConfig(BuilderConfig):
def __init__(self, filename, folder, **kwargs):
super().__init__(**kwargs)
self.filename = filename
self.folder = folder
class AssetOpsBench(GeneratorBasedBuilder):
DEFAULT_CONFIG_NAME = "scenarios"
BUILDER_CONFIGS = [
AssetOpsBenchConfig(
name="scenarios",
folder="scenarios",
filename="all_utterance.jsonl",
description="Scenario definitions for AssetOpsBench"
),
AssetOpsBenchConfig(
name="failuresensoriq_all",
folder="failuresensoriq_standard",
filename="all.jsonl",
description="Complete FailureSensorIQ dataset"
),
AssetOpsBenchConfig(
name="failuresensoriq_10_options",
folder="failuresensoriq_standard",
filename="all_10_options.jsonl",
description="10-option multiple choice version"
),
AssetOpsBenchConfig(
name="failuresensoriq_perturbed_complex",
folder="failuresensoriq_perturbed",
filename="all_10_options_perturbed_complex.jsonl",
description="Adversarially perturbed (complex)"
),
AssetOpsBenchConfig(
name="failuresensoriq_perturbed_simple",
folder="failuresensoriq_perturbed",
filename="all_10_options_all_perturbed_simple.jsonl",
description="Simpler perturbed version"
),
AssetOpsBenchConfig(
name="failuresensoriq_multi_answers",
folder="failuresensoriq_standard",
filename="all_multi_answers.jsonl",
description="Multiple-answer QA variant"
),
AssetOpsBenchConfig(
name="failuresensoriq_sample_50",
folder="failuresensoriq_standard",
filename="sample_50_questions.jsonl",
description="Sampled 50-question subset"
),
]
def _info(self):
if self.config.name == "scenarios":
features = Features({
"id": Value("string"),
"utterance": Value("string"),
"tags": Sequence(Value("string")),
})
elif self.config.name.startswith("failuresensoriq_perturbed"):
features = Features({
"subject": Value("string"),
"id": Value("int64"),
"question": Value("string"),
"options": Sequence(Value("string")),
"option_ids": Sequence(Value("string")),
"question_first": Value("bool"),
"correct": Sequence(Value("bool")),
"text_type": Value("string"),
"trigger_statement": Value("string"),
"context": Value("string"),
})
else:
features = Features({
"subject": Value("string"),
"id": Value("int64"),
"question": Value("string"),
"options": Sequence(Value("string")),
"option_ids": Sequence(Value("string")),
"question_first": Value("bool"),
"correct": Sequence(Value("bool")),
"text_type": Value("string"),
"asset_name": Value("string"),
"relevancy": Value("string"),
"question_type": Value("string"),
})
return DatasetInfo(
description="AssetOpsBench benchmark dataset for industrial diagnostic agents. Includes scenarios and failure mode QA.",
features=features,
supervised_keys=None,
homepage="https://github.com/ibm-research/AssetOpsBench",
citation="Add your citation here",
)
def _split_generators(self, dl_manager):
base_dir = os.path.join(os.path.dirname(__file__), "data")
filepath = os.path.join(base_dir, self.config.folder, self.config.filename)
if not os.path.isfile(filepath):
raise FileNotFoundError(f"Dataset file not found: {filepath}")
return [SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": filepath})]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as f:
for idx, line in enumerate(f):
if line.strip():
yield idx, json.loads(line)
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