IndexError: list index out of range

I encountered an error while running my code using the training and validation sets provided by the official dataset. Specifically, I used the first video in each set as the training and validation data, respectively. However, the error persists even when I reduced the dataset to a single row that has sufficient 8 columns for validation. I'm not sure what to do now and would appreciate any guidance.


Traceback (most recent call last):
File "C:\Users\14621\Desktop\slowfast (2)\slowfast\tools\run_net.py", line 53, in
main()
File "C:\Users\14621\Desktop\slowfast (2)\slowfast\tools\run_net.py", line 28, in main
launch_job(cfg=cfg, init_method=args.init_method, func=train)
File "c:\users\14621\desktop\slowfast (2)\slowfast\slowfast\utils\misc.py", line 430, in launch_job
func(cfg=cfg)
File "C:\Users\14621\Desktop\slowfast (2)\slowfast\tools\train_net.py", line 596, in train
train_loader = loader.construct_loader(cfg, "train")
File "c:\users\14621\desktop\slowfast (2)\slowfast\slowfast\datasets\loader.py", line 114, in construct_loader
dataset = build_dataset(dataset_name, cfg, split)
File "c:\users\14621\desktop\slowfast (2)\slowfast\slowfast\datasets\build.py", line 31, in build_dataset
return DATASET_REGISTRY.get(name)(cfg, split)
File "c:\users\14621\desktop\slowfast (2)\slowfast\slowfast\datasets\ava_dataset.py", line 47, in __init__
self._load_data(cfg)
File "c:\users\14621\desktop\slowfast (2)\slowfast\slowfast\datasets\ava_dataset.py", line 63, in _load_data
boxes_and_labels = ava_helper.load_boxes_and_labels(
File "c:\users\14621\desktop\slowfast (2)\slowfast\slowfast\datasets\ava_helper.py", line 100, in load_boxes_and_labels
all_boxes, count, unique_box_count = parse_bboxes_file(
File "c:\users\14621\desktop\slowfast (2)\slowfast\slowfast\datasets\ava_helper.py", line 204, in parse_bboxes_file
score = float(row[7])
IndexError: list index out of range

TRAIN:
ENABLE: True
DATASET: ava
BATCH_SIZE: 64
EVAL_PERIOD: 5
CHECKPOINT_PERIOD: 1
AUTO_RESUME: True
CHECKPOINT_FILE_PATH: C://Users//14621//Desktop//slowfast (2)//slowfast//configs//AVA//SLOWFAST_32x2_R101_50_50.pkl
CHECKPOINT_TYPE: "caffe2"
DATA:
NUM_FRAMES: 32
SAMPLING_RATE: 2
TRAIN_JITTER_SCALES: [256, 320]
TRAIN_CROP_SIZE: 224
TEST_CROP_SIZE: 224
INPUT_CHANNEL_NUM: [3, 3]
PATH_TO_DATA_DIR: C://Users//14621//Desktop//slowfast (2)//INPUT_VIDEO//ava
DETECTION:
ENABLE: True
ALIGNED: True
AVA:
FRAME_DIR: 'C://Users//14621//Desktop//slowfast (2)//INPUT_VIDEO//ava//frames'
FRAME_LIST_DIR: 'C://Users//14621//Desktop//slowfast (2)//INPUT_VIDEO//ava//frame_lists'
ANNOTATION_DIR: 'C:\Users\14621\Desktop\slowfast (2)\INPUT_VIDEO\ava\annotations\ava_annotations'
DETECTION_SCORE_THRESH: 0.8
TRAIN_PREDICT_BOX_LISTS: [
"ava_train_v2.2.csv",
"person_box_67091280_iou75//ava_detection_train_boxes_and_labels_include_negative_v2.2.csv",
]
TEST_PREDICT_BOX_LISTS: [
"person_box_67091280_iou75//ava_detection_val_boxes_and_labels.csv"
]
SLOWFAST:
ALPHA: 4
BETA_INV: 8
FUSION_CONV_CHANNEL_RATIO: 2
FUSION_KERNEL_SZ: 7
RESNET:
ZERO_INIT_FINAL_BN: True
WIDTH_PER_GROUP: 64
NUM_GROUPS: 1
DEPTH: 50
TRANS_FUNC: bottleneck_transform
STRIDE_1X1: False
NUM_BLOCK_TEMP_KERNEL: [[3, 3], [4, 4], [6, 6], [3, 3]]
SPATIAL_DILATIONS: [[1, 1], [1, 1], [1, 1], [2, 2]]
SPATIAL_STRIDES: [[1, 1], [2, 2], [2, 2], [1, 1]]
NONLOCAL:
LOCATION: [[[], []], [[], []], [[], []], [[], []]]
GROUP: [[1, 1], [1, 1], [1, 1], [1, 1]]
INSTANTIATION: dot_product
POOL: [[[1, 2, 2], [1, 2, 2]], [[1, 2, 2], [1, 2, 2]], [[1, 2, 2], [1, 2, 2]], [[1, 2, 2], [1, 2, 2]]]
BN:
USE_PRECISE_STATS: False
NUM_BATCHES_PRECISE: 200
SOLVER:
BASE_LR: 0.1
LR_POLICY: steps_with_relative_lrs
STEPS: [0, 10, 15, 20]
LRS: [1, 0.1, 0.01, 0.001]
MAX_EPOCH: 20
MOMENTUM: 0.9
WEIGHT_DECAY: 1e-7
WARMUP_EPOCHS: 5.0
WARMUP_START_LR: 0.000125
OPTIMIZING_METHOD: sgd
MODEL:
NUM_CLASSES: 80
ARCH: slowfast
MODEL_NAME: SlowFast
LOSS_FUNC: bce
DROPOUT_RATE: 0.5
HEAD_ACT: sigmoid
TEST:
ENABLE: False
DATASET: ava
BATCH_SIZE: 8
DATA_LOADER:
NUM_WORKERS: 2
PIN_MEMORY: True
NUM_GPUS: 1
NUM_SHARDS: 1
RNG_SEED: 0
OUTPUT_DIR: .