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from functools import partial
from typing import TYPE_CHECKING, Iterable, Optional, Union
import datasets
if TYPE_CHECKING:
from random import Random
from lm_eval.api.task import ConfigurableTask, Task
class ContextSampler:
def __init__(
self,
docs: list[dict],
task: Union["Task", "ConfigurableTask"],
fewshot_indices: Optional[Iterable] = None,
rnd: Optional["Random"] = None,
) -> None:
self.rnd = rnd
if not self.rnd:
raise ValueError(
"A `random.Random` generator argument must be provided to `rnd` of FewShotSampler!"
)
self.task = task
self.config = task._config
self.target_delimiter = self.config.target_delimiter
self.fewshot_delimiter = self.config.fewshot_delimiter
if (
self.config.fewshot_config is not None
and self.config.fewshot_config.get("doc_to_text", None) is not None
):
self.doc_to_text = partial(
self.task.doc_to_text,
doc_to_text=self.config.fewshot_config.get("doc_to_text", None),
)
else:
self.doc_to_text = self.task.doc_to_text
if (
self.config.fewshot_config is not None
and self.config.fewshot_config.get("doc_to_target", None) is not None
):
self.doc_to_target = partial(
self.task.doc_to_target,
doc_to_target=self.config.fewshot_config.get("doc_to_target", None),
)
else:
self.doc_to_target = self.task.doc_to_target
if (
self.config.fewshot_config is not None
and self.config.fewshot_config.get("doc_to_choice", None) is not None
):
self.doc_to_choice = partial(
self.task.doc_to_choice,
doc_to_choice=self.config.fewshot_config.get("doc_to_choice", None),
)
else:
self.doc_to_choice = self.task.doc_to_choice
self.docs = docs # HF dataset split, provided by task._fewshot_docs()
if fewshot_indices: # subset few-shot docs from
if not isinstance(self.docs, datasets.Dataset):
raise ValueError(
"Got `fewshot_indices` but fewshot_docs are not a HF dataset. Don't use both `fewshot_indices` and a user-defined few-shot sample list simultaneously"
)
self.docs = self.docs.select(fewshot_indices)
def get_context(self, doc: dict, num_fewshot: int, gen_prefix: str = None):
# draw an extra fewshot sample if using same split as evaluating on
prefix = gen_prefix + " " if gen_prefix else ""
n_samples = (
num_fewshot + 1
if self.config.fewshot_split == self.config.test_split
else num_fewshot
)
# draw `n_samples` docs from fewshot_docs
fewshotex = self.sample(n_samples)
# get rid of the doc that's the one we're evaluating, if it's in the fewshot
# TODO: should we just stop people from using fewshot from same split as evaluating?
selected_docs = [x for x in fewshotex if x != doc][:num_fewshot]
labeled_examples = ""
for doc in selected_docs:
doc_content = self.doc_to_text(doc)
doc_target = self.doc_to_target(doc)
if self.config.doc_to_choice is None or isinstance(doc_content, str):
labeled_examples += doc_content
else:
labeled_examples += self.doc_to_choice(doc)[doc_content]
if doc_target != "":
labeled_examples += self.target_delimiter
labeled_examples += prefix
labeled_examples += (
str(doc_target[0])
if isinstance(doc_target, list)
else doc_target
if self.config.doc_to_choice is None or isinstance(doc_target, str)
else str(self.doc_to_choice(doc)[doc_target])
)
labeled_examples += self.fewshot_delimiter
return labeled_examples
def get_chat_context(
self,
doc: dict,
num_fewshot: int,
fewshot_as_multiturn: bool = False,
gen_prefix: Optional[str] = None,
):
# TODO: Do we need any other delimiter
prefix = gen_prefix + " " if gen_prefix else ""
chat_history = []
# draw an extra fewshot sample if using same split as evaluating on
n_samples = (
num_fewshot + 1
if self.config.fewshot_split == self.config.test_split
else num_fewshot
)
# draw `n_samples` docs from fewshot_docs
fewshotex = self.sample(n_samples)
# get rid of the doc that's the one we're evaluating, if it's in the fewshot
# TODO: should we just stop people from using fewshot from same split as evaluating?
selected_docs = [x for x in fewshotex if x != doc][:num_fewshot]
if fewshot_as_multiturn:
for doc in selected_docs:
doc_content = self.doc_to_text(doc)
doc_target = self.doc_to_target(doc)
chat_history.append(
{
"role": "user",
"content": doc_content
if self.config.doc_to_choice is None
or isinstance(doc_content, str)
else self.doc_to_choice(doc)[doc_content],
}
)
chat_history.append(
{
"role": "assistant",
"content": prefix + str(doc_target[0])
if isinstance(doc_target, list)
else prefix + doc_target
if self.config.doc_to_choice is None
or isinstance(doc_target, str)
else prefix + str(self.doc_to_choice(doc)[doc_target]),
}
)
else:
# get fewshot context as one user turn
chat_history.append(
{
"role": "user",
"content": self.get_context(
doc, num_fewshot, gen_prefix=gen_prefix
),
}
)
return chat_history
def sample(self, n: int):
"""
Draw `n` samples from our fewshot docs. This method should be overridden by subclasses.
"""
return self.rnd.sample(self.docs, n)
class FirstNSampler(ContextSampler):
def sample(self, n: int) -> None:
"""
Draw the first `n` samples in order from the specified split.
Used for tasks with "canonical" ordered fewshot examples, such as MMLU and CMMLU.
"""
assert n <= len(self.docs), (
f"Error: number of fewshot samples requested exceeds the {len(self.docs)} that are available."
)
return self.docs[:n]
class BalancedSampler(ContextSampler):
def sample(self, n: int) -> None:
"""
TODO: this should return approximately class-balanced samples from our fewshot examples.
TODO: what order should they be in? maybe random?
"""
pass
class ManualSampler(ContextSampler):
def sample(self, n: int) -> None:
""" """
pass
SAMPLER_REGISTRY = {
"default": ContextSampler,
"first_n": FirstNSampler,
}
def get_sampler(name: str):
try:
return SAMPLER_REGISTRY[name]
except KeyError:
raise ValueError(
f"Attempted to use contextsampler '{name}', but no sampling strategy for this name found! Supported model names: {', '.join(SAMPLER_REGISTRY.keys())}"
)
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