[NeMo UX] Support generating datasets using different train/valid/test distributions #3109

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Job	Run time
cicd-cluster-clean	0s
gpu-test	0s
cicd-test-container-setup	0s
L0_Unit_Tests_GPU	0s
L0_Setup_Test_Data_And_Models	0s
L0_Unit_Tests_CPU	0s
L2_Community_LLM_Checkpoints_tests_Llama	0s
L2_Community_LLM_Checkpoints_tests_Llama3	0s
L2_Community_LLM_Checkpoints_tests_StarCoder	0s
L2_Community_LLM_Checkpoints_tests_Falcon	0s
L2_Community_vita_Checkpoints_tests_Llama3	0s
L2_PTQ_Llama2_Export_Only	0s
L2_PTQ_Llama2_FP8	0s
L2_PTQ_Llama2_INT8_SQ	0s
L2_QAT_Llama2_INT4	0s
ASR_dev_run_Speech_Pre-training_-_CitriNet	0s
ASR_dev_run_Speech_To_Text_Finetuning	0s
ASR_dev_run_Speech_to_Text	0s
ASR_dev_run_Speech_to_Text_WPE_-_CitriNet	0s
ASR_dev_run_Speech_to_Text_WPE_-_Conformer	0s
ASR_dev_run-part_two_Speech_to_Text_WPE_-_Squeezeformer	0s
L2_Speaker_dev_run_Speaker_Diarization	0s
L2_Speaker_dev_run_Speaker_Recognition	0s
L2_Speech_to_Text_EMA	0s
OPTIONAL_ASR_dev_run_Speech_To_Text_HF_Finetuning	0s
L2_ASR_Multi-dataloader_dev_run_Speech_to_Text_multi-dataloader	0s
L2_Speaker_dev_run_Clustering_Diarizer_Inference	0s
L2_Speaker_dev_run_Neural_Diarizer_Inference	0s
L2_Speaker_dev_run_Multispeaker_ASR_Data_Simulation	0s
L2_Speaker_dev_run_Speaker_Diarization_with_ASR_Inference	0s
L2_Speaker_dev_run_Speech_to_Label	0s
L2_ASR_Adapters_Linear_Adapters	0s
L2_ASR_Adapters_RelPos_MHA_Adapters	0s
L2_ASR_Multi-dataloader_dev_run_Speech_to_Label_multi-dataloader	0s
L2_G2P_Models_G2P_Conformer_training_evaluation_and_inference	0s
L2_Segmentation_Tool_Parallel_ctc_segmentation_test_L2_Eng_CitriNet_with_wav	0s
L2_Segmentation_Tool_Parallel_ctc_segmentation_test_L2_Ru_QN_with_mp3	0s
L2_Transducer_alignment_Running_pytest	0s
L2_Speech_Transcription_Speech_to_Text_Transcribe	0s
L2_G2P_Models_HeteronymClassificationModel_training_evaluation_and_inference	0s
L2_Duplex_Text_Normalization_with_Tarred_dataset	0s
L2_Intent_and_Slot_Classification_Tasks_Intent_and_Slot_Classification	0s
L2_Intent_and_Slot_Classification_Tasks_Multi-Label_Intent_and_Slot_Classification	0s
L2_Parallel_NLP_Examples2_NER_finetuning_from_pretrained_Test	0s
L2_Parallel_NLP_Examples2_Punctuation_and_capitalization_finetuning_from_pretrained_test	0s
L2_NMT_Attention_is_All_You_Need_Training_NMT_Training_Post-LN	0s
L2_NMT_Attention_is_All_You_Need_Training_NMT_Training_Pre-LN	0s
L2_Parallel_NLP_Examples2_Evaluation_script_for_Punctuation	0s
L2_Parallel_NLP_Examples2_Evaluation_script_for_Token_Classification	0s
L2_Parallel_NLP_Examples2_NER_with_TurkuNLP__bert-base-finnish-cased-v1	0s
L2_Pretraining_BERT_pretraining_from_Text	0s
L2_Pretraining_BERT_from_Preprocessed	0s
L2_Megatron_BART_Perceiver_MIM_Training_TP2	0s
L2_Megatron_Bert_Pretraining_and_Resume_Training_with_Pipeline_Parallelism	0s
L2_NMT_Attention_is_All_You_Need_Finetuning	0s
L2_Megatron_NMT_Training_TP2	0s
L2_NMT_Attention_is_All_You_Need_Inference	0s
L2_NMT_Attention_is_All_You_Need_Training_NMT_Multi-Validation	0s
L2_NMT_Tarred_Dataset_Creation_Auto_Tarred_Dataset_Creation	0s
L2_NMT_Tarred_Dataset_Creation_Script_Tarred_Dataset_Creation	0s
L2_BioMegatron_Bert_NER_Task	0s
L2_Legacy_Megatron_RETRO_Pretraining_and_Resume_Training	0s
L2_Megatron_Bert_Pretraining_and_Resume_Training	0s
L2_Megatron_GPT_Pretraining_and_Resume_Training_TP2	0s
L2_Megatron_Core_Bert_Pretraining_and_Resume_Training	0s
L2_Megatron_RETRO_Pretraining_and_Resume_Training	0s
L2_RAG_Pipeline_Generating	0s
L2_Megatron_GPT_Embedding	0s
L2_RAG_Pipeline_Indexing	0s
L2_Megatron_GPT_Pretraining_and_Resume_Training_PP2	0s
L2_Megatron_GPT_Finetuning_PP2	0s
L2_Megatron_GPT_with_ALiBi_Pretraining_and_Resume_Training_TP2	0s
L2_Megatron_GPT_with_KERPLE_Pretraining_and_Resume_Training_TP2	0s
L2_Megatron_GPT_with_ResetLR_Pretraining_and_Resume_Training_TP2	0s
L2_Megatron_GPT_with_Rope_Pretraining_and_Resume_Training_TP2	0s
L2_Megatron_Change_Partitions_Increase_TP_Num_Partitions_-2_to_4-_and_PP_Num_Partitions_-1_to_2	0s
L2_Megatron_GPT_Eval	0s
L2_Megatron_GPT_Eval_PP2	0s
L2_Megatron_GPT_Finetuning_StarCoder_PP1	0s
L2_Megatron_GPT_PEFT_Lora_PP2_O2	0s
L2_Megatron_GPT_PEFT_Lora_TP2_O1	0s
L2_Megatron_GPT_SFT_Eval_inference_seq_len_greaterThan_training_seq_len	0s
L2_Megatron_Change_Partitions_Reduce_TP_Num_Partitions_-2_to_1-_and_PP_Num_Partitions_-1_to_2	0s
L2_Megatron_Core_T5_Pretraining_and_Resume_Training_TP2	0s
L2_Megatron_T5_Pretraining_and_Resume_Training_TP2	0s
L2_Megatron_T5_with_ALiBi_Pretraining_and_Resume_Training_TP2	0s
L2_Megatron_BART_Pretraining_and_Resume_Training_PP2	0s
L2_Megatron_BART_Pretraining_and_Resume_Training_TP2	0s
L2_Megatron_Core_T5_Eval	0s
L2_Megatron_Core_T5_PEFT_Lora_TP2	0s
L2_Megatron_T5_Eval	0s
L2_Megatron_T5_PEFT_Lora_TP2	0s
L2_Megatron_T5_Pretraining_and_Resume_Training_PP2	0s
L2_Megatron_T5_w_Mixture_of_Expert_Pretraining	0s
L2_Megatron_T5_with_KERPLE_Pretraining_and_Resume_Training_TP2	0s
L2_Megatron_UL2_Pretraining_and_Resume_Training_TP2	0s
L2_Megatron_Mock_Data_Generation_MockGPTDataset	0s
L2_Megatron_Mock_Data_Generation_MockT5Dataset	0s
L2_NeMo_2_GPT_Pretraining_no_transformer_engine	0s
L2_Stable_Diffusion_Training	0s
L2_TTS_Fast_dev_runs_1_Hifigan	0s
L2_TTS_Fast_dev_runs_1_FastPitch	0s
L2_TTS_Fast_dev_runs_1_Mixer-TTS	0s
L2_TTS_Fast_dev_runs_1_Tacotron_2	0s
L2_TTS_Fast_dev_runs_1_WaveGlow	0s
Speech_Checkpoints_tests	0s
Nemo_CICD_Test	1s
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[NeMo UX] Support generating datasets using different train/valid/test distributions #3109

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[NeMo UX] Support generating datasets using different train/valid/test distributions #3109

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