RHEL AI: ilab model train command failed with error "Unable to find" skills train msg file.

Issue

• RHEL AI: ilab model train command failed with error.

$ ilab -v -v model train --pipeline simple --data-path /var/home/instruct/.local/share/instructlab/skills_train_msgs_2025-02-12T09_50_37.jsonl --device cuda 
INFO 2025-02-12 10:10:00,989 numexpr.utils:148: Note: NumExpr detected 48 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
INFO 2025-02-12 10:10:00,989 numexpr.utils:161: NumExpr defaulting to 16 threads.
INFO 2025-02-12 10:10:02,098 datasets:59: PyTorch version 2.4.1 available.
LINUX_TRAIN.PY: NUM EPOCHS IS:  8
LINUX_TRAIN.PY: TRAIN FILE IS:  /var/home/instruct/.local/share/instructlab/skills_train_msgs_2025-02-12T09_50_37.jsonl
LINUX_TRAIN.PY: TEST FILE IS:  /var/home/instruct/.local/share/instructlab/skills_train_msgs_2025-02-12T09_50_37.jsonl
LINUX_TRAIN.PY: Using device 'cuda:0'
  NVidia CUDA version: 12.4
  AMD ROCm HIP version: n/a
  cuda:0 is 'NVIDIA L40S' (44.1 GiB of 44.5 GiB free, capability: 8.9)
  cuda:1 is 'NVIDIA L40S' (44.1 GiB of 44.5 GiB free, capability: 8.9)
  cuda:2 is 'NVIDIA L40S' (44.1 GiB of 44.5 GiB free, capability: 8.9)
  cuda:3 is 'NVIDIA L40S' (44.1 GiB of 44.5 GiB free, capability: 8.9)
LINUX_TRAIN.PY: LOADING DATASETS
Unable to find '/var/home/instruct/.local/share/instructlab/skills_train_msgs_2025-02-12T09_50_37.jsonl/train_gen.jsonl