| """Lossless decoding of the standard-Parquet FindStatBench distribution.""" |
| import json |
| from pathlib import Path |
|
|
| JSON_FIELDS = {"prompts": (), "tasks": ("metadata", "public_examples"), |
| "hidden": ("evaluation_input", "gold_output_object", "metadata")} |
|
|
|
|
| def encode_record(component, record): |
| if component not in JSON_FIELDS: |
| raise ValueError("Unknown component") |
| output = dict(record) |
| for name in JSON_FIELDS[component]: |
| value = output.pop(name) |
| output[name + "_json"] = None if value is None else json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":"), allow_nan=False) |
| return output |
|
|
|
|
| def decode_record(component, record): |
| if component not in JSON_FIELDS: |
| raise ValueError("Unknown component") |
| output = dict(record) |
| for name in JSON_FIELDS[component]: |
| value = output.pop(name + "_json") |
| output[name] = None if value is None else json.loads(value) |
| return output |
|
|
|
|
| def load_local(folder, component="prompts", streaming=True): |
| from datasets import load_dataset |
| if component not in JSON_FIELDS: |
| raise ValueError("Unknown component") |
| return load_dataset(str(Path(folder).resolve()), name=component, split="test", streaming=streaming, token=False) |
|
|
|
|
| def iter_decoded(folder, component="hidden"): |
| for record in load_local(folder, component): |
| yield decode_record(component, record) |
|
|
