Just to augment @ptrblck’s effort, here is my try:
labels,points
1,"604916.47 4494396.11 11.58,604916.02 4494396.13 11.84,604915.03 4494396.15 11.58,604915.87 4494396.19 11.44,604914.49 4494396.23 11.45,604917.41 4494396.35 11.48,604916.41 4494396.36 11.49,604915.42 4494396.37 11.61,604914.42 4494396.39 11.48,604914.5 4494396.41 11.53,604918.58 4494396.62 11.52,604918.04 4494396.68 11.42,604919.2 4494396.71 11.67,604918.24 4494396.71 11.65,604914.45 4494396.72 11.93,604917.31 4494396.73 11.43,604915.41 4494396.73 11.56,604916.37 4494396.74 11.28,604915.64 4494396.81 11.53,604917.91 4494396.87 11.73,604919.55 4494396.9 11.51,604918.57 4494396.9 11.67,604917.62 4494396.92 11.54,604916.65 4494396.92 11.73,604915.7 4494396.96 11.46,604914.74 4494396.97 11.48,604916.09 4494397.05 11.48,604918.52 4494397.08 11.91,604915.45 4494397.11 11.51,604916.01 4494397.13 11.45,604919.49 4494397.27 11.97,604917.62 4494397.59 11.61,604918.12 4494397.63 11.54,604914.82 4494397.65 11.82,604915.81 4494397.65 11.72,604916.79 4494397.65 11.67,604917.77 4494397.65 11.59,604918.75 4494397.65 11.47,604915.22 4494397.72 11.79,604919.56 4494397.74 11.56,604917.48 4494397.82 11.63,604918.57 4494397.98 11.8,604919.59 4494397.98 11.66,604915.03 4494397.98 12.01,604916.58 4494397.99 11.9,604917.58 4494397.99 11.78,604914.57 4494398 12.08,604915.57 4494398 11.98,604915.64 4494398.02 11.93,604915.55 4494398.08 11.96,604918.03 4494398.14 11.69,604919.06 4494398.23 11.75,604919.62 4494398.27 11.63,604918.66 4494398.27 11.75,604917.71 4494398.27 11.8,604916.76 4494398.27 11.91,604915.81 4494398.27 11.9,604914.86 4494398.27 12.04,604919.68 4494398.3 11.77,604917.21 4494398.49 11.98,604919.12 4494398.56 11.98,604918.17 4494398.57 12.05,604917.67 4494398.57 12.03,604917.21 4494398.58 12.1,604916.25 4494398.58 12.19,604915.29 4494398.59 12.29,604914.33 4494398.59 12.39,604914.81 4494398.6 12.31,604919.15 4494398.63 11.95,604917.06 4494398.68 12.22,604914.61 4494398.84 12.57,604915.2 4494398.98 12.49,604915.1 4494399.01 12.59,604919.42 4494399.08 12.11,604918.65 4494399.09 12.28,604917.59 4494399.09 12.31,604919.22 4494399.24 12.29,604914.41 4494399.25 12.72,604915.39 4494399.25 12.68,604916.38 4494399.25 12.59,604917.35 4494399.25 12.48,604918.34 4494399.26 12.35,604919.33 4494399.26 12.26,604916.81 4494399.35 12.56,604919.39 4494399.47 12.53,604918.39 4494399.48 12.62,604917.39 4494399.49 12.63,604916.39 4494399.5 12.65,604914.4 4494399.5 12.52,604917.21 4494399.51 12.61,604918.74 4494399.51 12.51,604915.39 4494399.52 12.6,604914.4 4494399.54 12.43,604916.65 4494399.54 12.65,604914.19 4494399.8 12.27,604919.25 4494399.89 12.59,604918.3 4494399.89 12.69,604917.35 4494399.89 12.73,604916.4 4494399.9 12.66,604915.45 4494399.91 12.56,604914.51 4494399.92 12.43,604918.24 4494399.96 12.63,604914.71 4494400.02 12.24,604918.98 4494400.04 12.65,604914.64 4494400.06 12.2,604913.69 4494400.07 6.63,604917.12 4494400.09 12.47,604919 4494400.1 12.53,604918.05 4494400.12 12.5,604917.1 4494400.14 12.36,604916.13 4494400.16 12.3,604915.19 4494400.19 12.18,604914.24 4494400.21 12.1,604918.77 4494400.21 12.5,604916.37 4494400.32 12.28,604918.31 4494400.45 12.34,604913.93 4494400.51 11.9,604916.22 4494400.55 12.07,604916.74 4494400.58 12.13,604913.75 4494400.82 11.63,604917.9 4494400.87 12.12,604918.87 4494400.87 12.21,604916.92 4494400.88 12.07,604915.94 4494400.89 11.93,604913.99 4494400.9 11.8,604914.96 4494400.9 11.85,604917.8 4494400.97 12.02,604914.21 4494401.11 11.68,604918.47 4494401.13 11.99,604916.61 4494401.2 11.82,604918.86 4494401.31 11.78,604918.29 4494401.31 11.86,604917.87 4494401.32 11.75,604915.9 4494401.33 11.64,604916.88 4494401.34 11.65,604915.88 4494401.35 11.68,604917.84 4494401.47 11.67,604918.83 4494401.58 11.87,604917.9 4494401.59 11.76,604919.73 4494397.64 11.63,604919.77 4494401.57 12.11,604919.84 4494401.27 12.05,604919.86 4494400.86 12.33,604919.87 4494398.12 11.55,604919.92 4494401.88 11.8,604919.92 4494401.35 12.02,604919.95 4494400.08 12.62,604919.98 4494396.83 11.42,604920.1 4494398.56 11.91,604920.14 4494397.27 11.91,604920.21 4494399.89 12.54,604920.28 4494401 12.15,604920.31 4494399.26 12.21,604920.33 4494397.11 11.48,604920.38 4494400.35 12.58,604920.41 4494399.47 12.42,604920.52 4494396.9 11.38,604920.58 4494398.26 11.68,604920.59 4494397.97 11.58,604920.67 4494401.24 12.11,604920.7 4494397.63 11.88,604920.71 4494400 12.67,604920.72 4494401.56 12.13,604920.74 4494401.32 12.02,604920.79 4494399.45 12.32,604920.84 4494400.85 12.39,604920.85 4494401.26 12,604920.89 4494401.87 11.78,604920.92 4494400.06 12.64,604921.06 4494398.56 11.74,604921.12 4494399.15 12.14,604921.16 4494399.89 12.46,604921.17 4494400.17 12.63,604921.19 4494398.59 11.72,604921.21 4494400.22 12.69,604921.29 4494399.26 12.04,604921.41 4494399.46 12.34,604921.45 4494396.85 11.8,604921.52 4494398.26 11.62,604921.54 4494398.28 11.61,604921.59 4494397.97 11.4,604921.61 4494399.21 12.04,604921.63 4494397.62 11.9,604921.63 4494402.21 11.81,604921.65 4494401.55 12.27,604921.66 4494399.29 12.07,604921.68 4494397.62 11.93,604921.7 4494401.84 13.12,604921.78 4494401.73 13.24,604921.8 4494400.84 12.63,604921.83 4494401.21 12.43,604921.88 4494400.05 12.61,604921.97 4494397.33 11.76,604922.02 4494398.55 11.65,604922.05 4494398.25 11.53,604922.09 4494401.23 12.21,604922.09 4494402.2 12.03,604922.11 4494399.89 12.35,604922.11 4494400.99 12.59,604922.12 4494398.35 11.59,604922.18 4494401.87 14.06,604922.27 4494399.26 12.05,604922.41 4494399.46 12.2,604922.49 4494398.27 11.38,604922.52 4494397.23 11.59,604922.53 4494400.07 12.58,604922.53 4494400.25 12.62,604922.57 4494401.15 12.34,604922.58 4494397.34 11.55,604922.59 4494397.96 11.44,604922.59 4494401.55 12.23,604922.62 4494401.08 12.33,604922.69 4494397.63 11.62,604922.78 4494400.83 12.69,604922.81 4494401.83 11.92,604922.83 4494400.05 12.56,604922.84 4494401.22 12.16,604922.93 4494399.39 12.03,604922.94 4494399.22 11.96,604922.98 4494398.54 11.65,604923.04 4494400.13 12.48,604923.06 4494399.89 12.29,604923.08 4494400.07 12.48,604923.27 4494399.26 12.01,604923.33 4494398.52 11.54,604923.36 4494398.34 11.57,604923.37 4494402.23 11.68,604923.43 4494399.46 12.1,604923.44 4494398.26 11.45,604923.48 4494399.19 11.88,604923.53 4494401.54 12.34,604923.53 4494399.13 11.87,604923.58 4494397.92 11.73,604923.67 4494397.64 11.47,604923.76 4494401.81 12.03,604923.76 4494397.6 11.46,604923.77 4494400.83 12.75,604923.79 4494397.42 11.57,604923.8 4494400.04 12.44,604923.83 4494401.19 12.34,604923.84 4494401.22 12.35,604923.93 4494398.21 11.6,604923.95 4494398.53 11.61,604923.97 4494402.18 11.81,604923.99 4494398.13 11.8,604924.02 4494399.89 12.21,604924.25 4494399.26 11.89,604924.26 4494401.83 12.05,604924.27 4494400.28 12.52,604924.37 4494398.24 11.89,604924.42 4494401.15 12.5,604924.43 4494399.45 12,604924.47 4494401.53 12.54,604924.48 4494402.61 11.7,604924.55 4494402.38 11.72,604924.58 4494397.91 11.62,604924.67 4494399.42 11.9,604924.73 4494401.78 12.17,604924.76 4494400.83 12.67,604924.76 4494400.75 12.69,604924.77 4494400.04 12.36,604924.83 4494401.18 12.4,604924.84 4494400.22 12.45,604924.92 4494398.54 11.34,604924.97 4494399.89 12.09,604925.03 4494401.27 12.5,604925.07 4494398.54 11.42,604925.19 4494399.81 12.11,604925.23 4494399.26 11.79,604925.26 4494399.36 11.94,604925.33 4494398.25 11.63,604925.4 4494401.52 12.49,604925.45 4494399.45 11.87,604925.46 4494402.6 11.81,604925.48 4494400.28 12.4,604925.49 4494397.62 11.4,604925.54 4494402.53 11.74,604925.59 4494397.91 11.47,604925.63 4494397.63 11.58,604925.63 4494398.87 11.53,604925.68 4494398.48 11.49,604925.68 4494402.68 11.74,604925.69 4494401.76 12.28,604925.74 4494400.03 12.23,604925.74 4494400.82 12.66,604925.82 4494401.15 12.54,604925.87 4494398.51 11.47,604925.92 4494399.89 12.03,604925.94 4494399.34 11.79,604926 4494401.52 12.39,604926.09 4494397.88 11.46,604926.11 4494402.83 11.67,604926.11 4494402.15 12.02,604926.12 4494401.67 12.36,604926.23 4494399.26 11.72,604926.29 4494398.25 11.56,604926.34 4494401.51 12.63,604926.43 4494400.59 12.5,604926.44 4494402.59 11.98,604926.45 4494399.44 11.82,604926.55 4494400.7 12.59,604926.58 4494401.73 12.39,604926.61 4494397.9 11.47,604926.61 4494401.07 12.68,604926.62 4494397.62 11.73,604926.64 4494402.84 11.67,604926.65 4494401.74 12.34,604926.69 4494400.03 12.15,604926.73 4494400.82 12.65,604926.81 4494401.13 12.68,604926.83 4494399.73 11.92,604926.84 4494398.5 11.5,604926.88 4494399.89 11.97,604926.96 4494399.85 11.96"

import pandas as pd
import numpy as np
import torch, re

data = pd.read_csv(
    './train.csv',
    sep=',', skiprows=1, engine='python', names=['labels', 'points',],
    usecols=[0,1])

print(data)
labels = torch.from_numpy(data['labels'].values)
points = data['points'].apply(lambda x: torch.from_numpy(
                                            np.array([float(x_) for x_ in re.split(',|\s', x)]).reshape(-1, 3)))

for pt in points:
    print(pt.shape)