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[Update] Update HuLifeQA primary tags (#6)
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@ -8,9 +8,9 @@ with read_base():
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from opencompass.configs.models.hf_internlm.lmdeploy_internlm2_5_7b_chat import (
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from opencompass.configs.models.hf_internlm.lmdeploy_internlm2_5_7b_chat import (
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models as lmdeploy_internlm2_5_7b_chat_model,
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models as lmdeploy_internlm2_5_7b_chat_model,
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)
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)
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from opencompass.configs.models.openai.gpt_4o_mini_20240718 import (
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# from opencompass.configs.models.openai.gpt_4o_mini_20240718 import (
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models as gpt_4o_mini_20240718_model,
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# models as gpt_4o_mini_20240718_model,
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)
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# )
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from opencompass.models import OpenAI
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from opencompass.models import OpenAI
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from opencompass.partitioners import (
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from opencompass.partitioners import (
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@ -31,7 +31,7 @@ api_meta_template = dict(
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)
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)
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models = [
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models = [
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*gpt_4o_mini_20240718_model,
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# *gpt_4o_mini_20240718_model,
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*lmdeploy_internlm2_5_7b_chat_model,
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*lmdeploy_internlm2_5_7b_chat_model,
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]
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]
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@ -9,7 +9,7 @@ hu_life_qa_reader_cfg = dict(
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output_column="judge",
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output_column="judge",
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)
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)
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data_path ="/mnt/hwfile/opendatalab/yanghaote/share/g13k_hu/g13k_hu_vpaper.jsonl"
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data_path ="/mnt/hwfile/opendatalab/yanghaote/share/HuLifeQA_20250131.jsonl"
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hu_life_qa_datasets = []
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hu_life_qa_datasets = []
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hu_life_qa_infer_cfg = dict(
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hu_life_qa_infer_cfg = dict(
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@ -49,21 +49,22 @@ hu_life_qa_datasets.append(
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)
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)
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task_group_new = {
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task_group_new = {
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"business and finance": "business and finance",
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"life_culture_custom": "life_culture_custom",
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"childbearing and education": "life, culture, and customs",
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"childbearing and education": "life_culture_custom",
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"culture and community": "life, culture, and customs",
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"culture and community": "life_culture_custom",
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'culture and customs': "life, culture, and customs",
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'culture and customs': "life_culture_custom",
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"life, culture, and customs": "life, culture, and customs",
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"food and drink": "life_culture_custom",
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"education and profession": "education and profession",
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"health": "life_culture_custom",
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"food and drink": "life, culture, and customs",
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"holidays": "life_culture_custom",
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"health": "life, culture, and customs",
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"home": "life_culture_custom",
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"holidays": "life, culture, and customs",
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"person": "life_culture_custom",
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"home": "life, culture, and customs",
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"transport": "life_culture_custom",
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"person": "life, culture, and customs",
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"science": "life_culture_custom",
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"politics": "politics, policy and law",
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"travel": "life_culture_custom",
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"politics, policy and law": "politics, policy and law",
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"business_finance": "business_finance",
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"public education and courses": "education and profession",
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"business and finance": "business_finance",
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"transport": "life, culture, and customs",
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"education_profession": "education_profession",
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"science": "life, culture, and customs",
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"public education and courses": "education_profession",
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"travel": "life, culture, and customs",
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"politics_policy_law": "politics_policy_law",
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"politics": "politics_policy_law",
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}
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}
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