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feat: add TxtSlicesDataset to allow sampling slices from txt file for benchmarking (#30156)  
Julien Debache committed
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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project

from vllm.benchmarks.datasets.datasets import (
    DEFAULT_NUM_PROMPTS,
    AIMODataset,
    ASRDataset,
    BenchmarkDataset,
    BlazeditDataset,
    BurstGPTDataset,
    ConversationDataset,
    CustomDataset,
    CustomMMDataset,
    HuggingFaceDataset,
    InstructCoderDataset,
    MLPerfDataset,
    MMStarDataset,
    MMVUDataset,
    MTBenchDataset,
    MultiModalConversationDataset,
    NextEditPredictionDataset,
    PrefixRepetitionRandomDataset,
    RandomDataset,
    RandomDatasetForReranking,
    RandomMultiModalDataset,
    SampleRequest,
    ShareGPTDataset,
    SonnetDataset,
    SpecBench,
    VisionArenaDataset,
    add_dataset_parser,
    add_random_dataset_base_args,
    add_random_multimodal_dataset_args,
    gen_prompt_decode_to_target_len,
    get_samples,
    is_valid_sequence,
    lora_path_on_disk,
    lora_tokenizer_cache,
    process_image,
    process_video,
    zeta_prompt,
)
from vllm.benchmarks.datasets.utils import RangeRatio

__all__ = [
    "DEFAULT_NUM_PROMPTS",
    "AIMODataset",
    "ASRDataset",
    "BenchmarkDataset",
    "BlazeditDataset",
    "BurstGPTDataset",
    "ConversationDataset",
    "CustomDataset",
    "CustomMMDataset",
    "HuggingFaceDataset",
    "InstructCoderDataset",
    "MLPerfDataset",
    "MMStarDataset",
    "MMVUDataset",
    "MTBenchDataset",
    "MultiModalConversationDataset",
    "NextEditPredictionDataset",
    "PrefixRepetitionRandomDataset",
    "RandomDataset",
    "RandomDatasetForReranking",
    "RandomMultiModalDataset",
    "SampleRequest",
    "ShareGPTDataset",
    "SonnetDataset",
    "SpecBench",
    "VisionArenaDataset",
    "add_dataset_parser",
    "add_random_dataset_base_args",
    "add_random_multimodal_dataset_args",
    "gen_prompt_decode_to_target_len",
    "get_samples",
    "is_valid_sequence",
    "lora_path_on_disk",
    "lora_tokenizer_cache",
    "process_image",
    "process_video",
    "RangeRatio",
    "zeta_prompt",
]