{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":47447,"offset":47437,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\u041f\u043e\u0441\u043a\u043e\u043b\u044c\u043a\u0443 `plot_surface` \u043d\u0435 \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u0435\u0442 \u043c\u0430\u0441\u0441\u0438\u0432 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0430\u043b\u044c\u0444\u0430 (\u043f\u0440\u043e\u0437\u0440\u0430\u0447\u043d\u043e\u0441\u0442\u0438) \u043d\u0430\u043f\u0440\u044f\u043c\u0443\u044e, \u043d\u0430\u043c \u043f\u043e\u0442\u0440\u0435\u0431\u0443\u0435\u0442\u0441\u044f \u0434\u0440\u0443\u0433\u043e\u0439 \u043f\u043e\u0434\u0445\u043e\u0434 \u0434\u043b\u044f \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u043a\u0430\u0436\u0434\u043e\u0439 \u0442\u043e\u0447\u043a\u0438 \u043f\u043e\u0432\u0435\u0440\u0445\u043d\u043e\u0441\u0442\u0438 \u0441 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u043e\u0439 \u043f\u0440\u043e\u0437\u0440\u0430\u0447\u043d\u043e\u0441\u0442\u044c\u044e. \n\n\u0420\u0435\u0448\u0435\u043d\u0438\u0435 \u0437\u0430\u043a\u043b\u044e\u0447\u0430\u0435\u0442\u0441\u044f \u0432 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 \u043c\u0435\u0442\u043e\u0434\u0430 `Poly3DCollection` \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u0430 \u043f\u043e\u043b\u0438\u0433\u043e\u043d\u043e\u0432 \u0441 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c\u0438 \u043f\u0440\u043e\u0437\u0440\u0430\u0447\u043d\u043e\u0441\u0442\u0438. \u0414\u0430\u0432\u0430\u0439\u0442\u0435 \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043c \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0432 \u0432\u0430\u0448\u0435\u043c \u043a\u043e\u0434\u0435.\n\n\u0414\u043b\u044f \u044d\u0442\u043e\u0433\u043e \u0441\u043e\u0437\u0434\u0430\u0434\u0438\u043c \u0444\u0443\u043d\u043a\u0446\u0438\u044e `plot_surface_with_alpha` \u0434\u043b\u044f \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u044f \u043f\u043e\u0432\u0435\u0440\u0445\u043d\u043e\u0441\u0442\u0438 \u0441 \u0438\u0437\u043c\u0435\u043d\u044f\u044e\u0449\u0435\u0439\u0441\u044f \u043f\u0440\u043e\u0437\u0440\u0430\u0447\u043d\u043e\u0441\u0442\u044c\u044e. \u041c\u044b \u0431\u0443\u0434\u0435\u043c \u0432\u044b\u0447\u0438\u0441\u043b\u044f\u0442\u044c \u0446\u0432\u0435\u0442 \u0438 \u043f\u0440\u043e\u0437\u0440\u0430\u0447\u043d\u043e\u0441\u0442\u044c \u0434\u043b\u044f \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u043c\u043d\u043e\u0433\u043e\u0443\u0433\u043e\u043b\u044c\u043d\u0438\u043a\u0430 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u043e:\n\n```python\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom mpl_toolkits.mplot3d import Axes3D\nfrom mpl_toolkits.mplot3d.art3d import Poly3DCollection\n\ndef calculate_alpha(z_value, F_min, F_max):\n    min_alpha = 0.2\n    max_alpha = 1.0\n    return min_alpha + (max_alpha - min_alpha) * (z_value - F_min) / (F_max - F_min)\n\ndef plot_surface_with_alpha(ax, I, V, F, facecolors, alpha):\n    F_min = F.min()\n    F_max = F.max()\n    polygons = []\n    colors = []\n\n    for i in range(len(I) - 1):\n        for j in range(len(V) - 1):\n            z_value = F[i, j]\n            a = calculate_alpha(z_value, F_min, F_max)\n            polygon = [(I[i, j], V[i, j], F[i, j]), \n                       (I[i, j + 1], V[i, j + 1], F[i, j + 1]), \n                       (I[i + 1, j + 1], V[i + 1, j + 1], F[i + 1, j + 1]), \n                       (I[i + 1, j], V[i + 1, j], F[i + 1, j])]\n            polygons.append(polygon)\n            colors.append((*facecolors(i, j)[:3], a))\n\n    poly3dcollection = Poly3DCollection(polygons, facecolors=colors, edgecolor='none')\n    ax.add_collection3d(poly3dcollection)\n\ndef graph_view(ax, sigmaI, muI, sigmaV, muV, Imin, Imax, Vmin, Vmax, alpha, colorPart, color, alphaPart):\n    I, V = np.meshgrid(np.linspace(IlimMin, IlimMax, 150), np.linspace(VlimMin, VlimMax, 150))\n    F = np.exp((-(I-muI)**2-(np.log(V)-muV)**2)/(2 * sigmaI**2 * sigmaV**2))/(sigmaI * sigmaV * V * 2*np.pi)\n    \n    plot_surface_with_alpha(ax, I, V, F, plt.cm.viridis, alpha)\n\n    mask = (I >= Imin) & (I <= Imax) & (V >= Vmin) & (V <= Vmax)\n    x_highlight = np.copy(I)\n    y_highlight = np.copy(V)\n    z_highlight = np.copy(F)\n\n    x_highlight[~mask] = np.nan\n    y_highlight[~mask] = np.nan\n    z_highlight[~mask] = np.nan\n\n    plot_surface_with_alpha(ax, x_highlight, y_highlight, z_highlight, plt.cm.viridis, alphaPart)\n\n    ax.set_xlabel('\u041f\u043e\u0442\u0440\u0435\u0431\u043b\u044f\u0435\u043c\u044b\u0439 \u0442\u043e\u043a')\n    ax.set_ylabel('\u0421\u043a\u043e\u0440\u043e\u0441\u0442\u044c')\n    ax.set_zlabel('\u041f\u043b\u043e\u0442\u043d\u043e\u0441\u0442\u044c \u0432\u0435\u0440\u043e\u0441\u0442\u043d\u043e\u0441\u0442\u0438')\n    return ax\n\ndef graph_view_without_part(ax, sigmaI, muI, sigmaV, muV, alpha, color):\n    I, V = np.meshgrid(np.linspace(IlimMin, IlimMax, 150), np.linspace(VlimMin, VlimMax, 150))\n    F1 = np.exp(-0.5*((I-muI)/sigmaI)**2)\n    F2 = np.exp(-0.5*((V-muV)/sigmaV)**2)\n    F = F1*F2\n\n    plot_surface_with_alpha(ax, I, V, F, plt.cm.viridis, alpha)\n\n    max_idx = np.unravel_index(np.argmax(F, axis=None), F.shape)\n    max_I = I[max_idx]\n    max_V = V[max_idx]\n    max_F = F[max_idx]\n\n    print(f\"Max I: {max_I}, Max V: {max_V}, Max F: {max_F}\")\n\n    ax.set_xlabel('\u041f\u043e\u0442\u0440\u0435\u0431\u043b\u044f\u0435\u043c\u044b\u0439 \u0442\u043e\u043a')\n    ax.set_ylabel('\u0421\u043a\u043e\u0440\u043e\u0441\u0442\u044c')\n    ax.set_zlabel('\u041f\u043b\u043e\u0442\u043d\u043e\u0441\u0442\u044c \u0432\u0435\u0440\u043e\u0441\u0442\u043d\u043e\u0441\u0442\u0438')\n    return ax\n\ndef background(ax):\n    zmin = 0\n    square1 = np.array([[0, 0, zmin], [3.33, 0, zmin], [3.33, 0.75, zmin], [0, 0.75, zmin]])\n    square2 = np.array([[3.33, 0, zmin], [10, 0, zmin], [10, 0.75, zmin], [3.33, 0.75, zmin]])\n    square3 = np.array([[10, 0, zmin], [16.66, 0, zmin], [16.66, 0.75, zmin], [10, 0.75, zmin]])\n    square4 = np.array([[16.66, 0, zmin], [20, 0, zmin], [20, 0.75, zmin], [16.66, 0.75, zmin]])\n\n    square5 = np.array([[3.33, 0.75, zmin], [10, 0.75, zmin], [10, 2.25, zmin], [3.33, 2.25, zmin]])\n    square6 = np.array([[10, 0.75, zmin], [16.66, 0.75, zmin], [16.66, 2.25, zmin], [10, 2.25, zmin]])\n    square7 = np.array([[16.66, 0.75, zmin], [20, 0.75, zmin], [20, 2.25, zmin], [16.66, 2.25, zmin]])\n\n    square8 = np.array([[10, 2.25, zmin], [16.66, 2.25, zmin], [16.66, 3.75, zmin], [10, 3.75, zmin]])\n    square9 = np.array([[16.66, 2.25, zmin], [20, 2.25, zmin], [20, 3.75, zmin], [16.66, 3.75, zmin]])\n\n    square10 = np.array([[10, 3.75, zmin], [16.66, 3.75, zmin], [16.66, 4.5, zmin], [10, 4.5, zmin]])\n    square11 = np.array([[16.66, 3.75, zmin], [20, 3.75, zmin], [20, 4.5, zmin], [16.66, 4.5, zmin]])\n\n    sq = [square1, square2, square3, square4, square5, square6, square7, square8, square9, square10, square11]\n    colors = ['green', 'gold', 'red', 'firebrick', 'gold', 'gold', 'firebrick', 'gold', 'red', 'red', 'red']\n    for i in range(len(sq)):\n        square = Poly3DCollection([sq[i]], color=colors[i], edgecolor='none', alpha = 0.5)\n        ax.add_collection3d(square)\n\nfig = plt.figure()\nax = fig.add_subplot(1, 1, 1, projection='3d', computed_zorder=False)\n\nIlimMin = 0\nIlimMax = 20\nVlimMin = 0\nVlimMax = 4.5\n\nsigmaI = 2.33\nmuI = 11.46\nsigmaV = 0.755\nmuV = -0.611\nImin, Imax = 17.04, 19.67\nVmin, Vmax = 0.55, 0.74\nSecSurf = graph_view(ax, sigmaI, muI, sigmaV, muV, Imin, Imax, Vmin, Vmax, alpha=0.8, alphaPart=0.6, colorPart='salmon', color='green')\n\nsigmaI = 2.398\nmuI = 10.32\nsigmaV = 0.75\nmuV = -0.625\nImin, Imax = 16.35, 16.55\nVmin, Vmax = 0.359, 0.529\nThirdSurf = graph_view(ax, sigmaI, muI, sigmaV, muV, Imin, Imax, Vmin, Vmax, alpha=0.7, alphaPart=1, colorPart='navy', color='violet')\n\nsigmaI = 1.7\nmuI = 12.8\nsigmaV = 0.71\nmuV = -0.554\nImin, Imax = 17.04, 17.49\nVmin, Vmax = 0.6, 0.74\nfirstSurf = graph_view(ax, sigmaI, muI, sigmaV, muV, Imin, Imax, Vmin, Vmax, alpha=0.8, alphaPart=1, colorPart='firebrick', color='royalblue')\n\nsigmaI = 1.7\nmuI = 18\nsigmaV = 0.71\nmuV = 0.9\n\nmodelSurf = graph_view_without_part(ax, sigmaI, muI, sigmaV, muV, alpha=0.4, color='tomato')\nfirstSurf.set_zorder(4)\nSecSurf.set_zorder(3)\nThirdSurf.set_zorder(2)\nmodelSurf.set_zorder(5)\nbackground(ax)\n\nplt.show()\n```\n\n\u0412 \u044d\u0442\u043e\u0439 \u0432\u0435\u0440\u0441\u0438\u0438 \u043a\u043e\u0434\u0430 \u043c\u044b \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u043c \u0444\u0443\u043d\u043a\u0446\u0438\u044e `plot_surface_with_alpha`, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0441\u043e\u0437\u0434\u0430\u0435\u0442 \u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u043e \u043f\u043e\u043b\u0438\u0433\u043e\u043d\u043e\u0432 \u0441 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u043d\u043e\u0439 \u0430\u043b\u044c\u0444\u0430-\u043f\u0440\u043e\u0437\u0440\u0430\u0447\u043d\u043e\u0441\u0442\u044c\u044e, \u0437\u0430\u0432\u0438\u0441\u044f\u0449\u0435\u0439 \u043e\u0442 \u0432\u044b\u0441\u043e\u0442\u044b (\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043f\u043e \u043e\u0441\u0438 Z). \u041c\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c \u044d\u0442\u0443 \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u0432\u043c\u0435\u0441\u0442\u043e `plot_surface` \u0432\u043d\u0443\u0442\u0440\u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u0439 `graph_view` \u0438 `graph_view_without_part`, \u0447\u0442\u043e \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043e\u0442\u043e\u0431\u0440\u0430\u0437\u0438\u0442\u044c \u043f\u043e\u0432\u0435\u0440\u0445\u043d\u043e\u0441\u0442\u0438 \u0441 \u043f\u043b\u0430\u0432\u043d\u043e \u0438\u0437\u043c\u0435\u043d\u044f\u044e\u0449\u0435\u0439\u0441\u044f \u043f\u0440\u043e\u0437\u0440\u0430\u0447\u043d\u043e\u0441\u0442\u044c\u044e.","behavior":"degenerate_repetition","conversation_hash":"c01d8016831498e4a778a668ea110a9e","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-05-13","n_chars":6260,"n_turns_in_conversation":3,"n_words":768,"source_row_offset":47437,"source_shard":"turns-00026.parquet","timestamp":"Wed, 07 Aug 2024 08:48:52 GMT","turn_id":"fcbc404edbc144aedda4ed43","turn_index":1,"user_text":"\u0412\u044b\u0434\u0430\u0435\u0442 \u043e\u0448\u0438\u0431\u043a\u0443 TypeError: alpha must be numeric or None, not <class 'numpy.ndarray'>"},{"assistant_initiates":false,"asst_text":"\u0418\u0437\u0432\u0438\u043d\u0438\u0442\u0435 \u0437\u0430 \u043e\u0448\u0438\u0431\u043a\u0443. \u041e\u0448\u0438\u0431\u043a\u0430 ValueError \u0432\u043e\u0437\u043d\u0438\u043a\u0430\u0435\u0442 \u0438\u0437-\u0437\u0430 \u043d\u0435\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e\u0433\u043e \u0444\u043e\u0440\u043c\u0430\u0442\u0430 \u0446\u0432\u0435\u0442\u043e\u0432. \u0414\u0430\u0432\u0430\u0439\u0442\u0435 \u043f\u043e\u043f\u0440\u043e\u0431\u0443\u0435\u043c \u0432\u044b\u0434\u0435\u043b\u0438\u0442\u044c \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u043d\u044b\u0435 \u0430\u043b\u044c\u0444\u0430-\u043f\u0440\u043e\u0437\u0440\u0430\u0447\u043d\u043e\u0441\u0442\u0438 \u0438 RGBA-\u0446\u0432\u0435\u0442\u0430 \u0434\u043b\u044f \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u043f\u043e\u043b\u0438\u0433\u043e\u043d\u0430 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u043e.\n\n\u041d\u0438\u0436\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0430 \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043d\u0430\u044f \u0432\u0435\u0440\u0441\u0438\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u0438 `plot_surface_with_alpha`:\n\n1. \u041c\u044b \u0431\u0443\u0434\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c `facecolors=plt.cm.viridis(np.linspace(0, 1, len(polygons)))` \u0434\u043b\u044f \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044f RGBA-\u0446\u0432\u0435\u0442\u0430 \u0434\u043b\u044f \u043a\u0430\u0436\u0434\u043e\u0439 \u0432\u0435\u0440\u0448\u0438\u043d\u044b.\n2. \u0417\u0430\u043c\u0435\u043d\u0438\u043c \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u044b \u0432 \u043a\u043e\u0440\u0442\u0435\u0436\u0430\u0445 `*facecolors()` \u043d\u0430 \u0438\u043d\u0434\u0435\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f RGBA \u0438 \u0438\u0437\u043c\u0435\u043d\u0438\u043c \u043a\u043e\u0440\u0442\u0435\u0436\u0438 \u0434\u043e \u0434\u043b\u0438\u043d\u044b 4.\n\n\u0418\u0442\u0430\u043a, \u0432\u043e\u0442 \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0439 \u043a\u043e\u0434:\n\n```python\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom mpl_toolkits.mplot3d import Axes3D\nfrom mpl_toolkits.mplot3d.art3d import Poly3DCollection\n\ndef calculate_alpha(z_value, F_min, F_max):\n    min_alpha = 0.2\n    max_alpha = 1.0\n    return min_alpha + (max_alpha - min_alpha) * (z_value - F_min) / (F_max - F_min)\n\ndef plot_surface_with_alpha(ax, I, V, F, facecolors, alpha):\n    F_min = F.min()\n    F_max = F.max()\n    polygons = []\n    colors = []\n\n    for i in range(len(I) - 1):\n        for j in range(len(V) - 1):\n            z_value = F[i, j]\n            a = calculate_alpha(z_value, F_min, F_max)\n            polygon = [(I[i, j], V[i, j], F[i, j]), \n                       (I[i, j + 1], V[i, j + 1], F[i, j + 1]), \n                       (I[i + 1, j + 1], V[i + 1, j + 1], F[i + 1, j + 1]), \n                       (I[i + 1, j], V[i + 1, j], F[i + 1, j])]\n            polygons.append(polygon)\n            colors.append((*plt.cm.viridis(i / (len(I) - 1))[:3], a))\n\n    poly3dcollection = Poly3DCollection(polygons, facecolors=colors, edgecolor='none')\n    ax.add_collection3d(poly3dcollection)\n\ndef graph_view(ax, sigmaI, muI, sigmaV, muV, Imin, Imax, Vmin, Vmax, alpha, colorPart, color, alphaPart):\n    I, V = np.meshgrid(np.linspace(IlimMin, IlimMax, 150), np.linspace(VlimMin, VlimMax, 150))\n    F = np.exp((-(I-muI)**2-(np.log(V)-muV)**2)/(2 * sigmaI**2 * sigmaV**2))/(sigmaI * sigmaV * V * 2*np.pi)\n    \n    plot_surface_with_alpha(ax, I, V, F, plt.cm.viridis, alpha)\n\n    mask = (I >= Imin) & (I <= Imax) & (V >= Vmin) & (V <= Vmax)\n    x_highlight = np.copy(I)\n    y_highlight = np.copy(V)\n    z_highlight = np.copy(F)\n\n    x_highlight[~mask] = np.nan\n    y_highlight[~mask] = np.nan\n    z_highlight[~mask] = np.nan\n\n    plot_surface_with_alpha(ax, x_highlight, y_highlight, z_highlight, plt.cm.viridis, alphaPart)\n\n    ax.set_xlabel('\u041f\u043e\u0442\u0440\u0435\u0431\u043b\u044f\u0435\u043c\u044b\u0439 \u0442\u043e\u043a')\n    ax.set_ylabel('\u0421\u043a\u043e\u0440\u043e\u0441\u0442\u044c')\n    ax.set_zlabel('\u041f\u043b\u043e\u0442\u043d\u043e\u0441\u0442\u044c \u0432\u0435\u0440\u043e\u044f\u0442\u043d\u043e\u0441\u0442\u0438')\n    return ax\n\ndef graph_view_without_part(ax, sigmaI, muI, sigmaV, muV, alpha, color):\n    I, V = np.meshgrid(np.linspace(IlimMin, IlimMax, 150), np.linspace(VlimMin, VlimMax, 150))\n    F1 = np.exp(-0.5*((I-muI)/sigmaI)**2)\n    F2 = np.exp(-0.5*((V-muV)/sigmaV)**2)\n    F = F1 * F2\n\n    plot_surface_with_alpha(ax, I, V, F, plt.cm.viridis, alpha)\n\n    max_idx = np.unravel_index(np.argmax(F, axis=None), F.shape)\n    max_I = I[max_idx]\n    max_V = V[max_idx]\n    max_F = F[max_idx]\n\n    print(f\"Max I: {max_I}, Max V: {max_V}, Max F: {max_F}\")\n\n    ax.set_xlabel('\u041f\u043e\u0442\u0440\u0435\u0431\u043b\u044f\u0435\u043c\u044b\u0439 \u0442\u043e\u043a')\n    ax.set_ylabel('\u0421\u043a\u043e\u0440\u043e\u0441\u0442\u044c')\n    ax.set_zlabel('\u041f\u043b\u043e\u0442\u043d\u043e\u0441\u0442\u044c \u0432\u0435\u0440\u043e\u044f\u0442\u043d\u043e\u0441\u0442\u0438')\n    return ax\n\ndef background(ax):\n    zmin = 0\n    square1 = np.array([[0, 0, zmin], [3.33, 0, zmin], [3.33, 0.75, zmin], [0, 0.75, zmin]])\n    square2 = np.array([[3.33, 0, zmin], [10, 0, zmin], [10, 0.75, zmin], [3.33, 0.75, zmin]])\n    square3 = np.array([[10, 0, zmin], [16.66, 0, zmin], [16.66, 0.75, zmin], [10, 0.75, zmin]])\n    square4 = np.array([[16.66, 0, zmin], [20, 0, zmin], [20, 0.75, zmin], [16.66, 0.75, zmin]])\n\n    square5 = np.array([[3.33, 0.75, zmin], [10, 0.75, zmin], [10, 2.25, zmin], [3.33, 2.25, zmin]])\n    square6 = np.array([[10, 0.75, zmin], [16.66, 0.75, zmin], [16.66, 2.25, zmin], [10, 2.25, zmin]])\n    square7 = np.array([[16.66, 0.75, zmin], [20, 0.75, zmin], [20, 2.25, zmin], [16.66, 2.25, zmin]])\n\n    square8 = np.array([[10, 2.25, zmin], [16.66, 2.25, zmin], [16.66, 3.75, zmin], [10, 3.75, zmin]])\n    square9 = np.array([[16.66, 2.25, zmin], [20, 2.25, zmin], [20, 3.75, zmin], [16.66, 3.75, zmin]])\n\n    square10 = np.array([[10, 3.75, zmin], [16.66, 3.75, zmin], [16.66, 4.5, zmin], [10, 4.5, zmin]])\n    square11 = np.array([[16.66, 3.75, zmin], [20, 3.75, zmin], [20, 4.5, zmin], [16.66, 4.5, zmin]])\n\n    sq = [square1, square2, square3, square4, square5, square6, square7, square8, square9, square10, square11]\n    colors = ['green', 'gold', 'red', 'firebrick', 'gold', 'gold', 'firebrick', 'gold', 'red', 'red', 'red']\n    for i in range(len(sq)):\n        square = Poly3DCollection([sq[i]], color=colors[i], edgecolor='none', alpha=0.5)\n        ax.add_collection3d(square)\n\nfig = plt.figure()\nax = fig.add_subplot(1, 1, 1, projection='3d', computed_zorder=False)\n\nIlimMin = 0\nIlimMax = 20\nVlimMin = 0\nVlimMax = 4.5\n\nsigmaI = 2.33\nmuI = 11.46\nsigmaV = 0.755\nmuV = -0.611\nImin, Imax = 17.04, 19.67\nVmin, Vmax = 0.55, 0.74\nSecSurf = graph_view(ax, sigmaI, muI, sigmaV, muV, Imin, Imax, Vmin, Vmax, alpha=0.8, alphaPart=0.6, colorPart='salmon', color='green')\n\nsigmaI = 2.398\nmuI = 10.32\nsigmaV = 0.75\nmuV = -0.625\nImin, Imax = 16.35, 16.55\nVmin, Vmax = 0.359, 0.529\nThirdSurf = graph_view(ax, sigmaI, muI, sigmaV, muV, Imin, Imax, Vmin, Vmax, alpha=0.7, alphaPart=1, colorPart='navy', color='violet')\n\nsigmaI = 1.7\nmuI = 12.8\nsigmaV = 0.71\nmuV = -0.554\nImin, Imax = 17.04, 17.49\nVmin, Vmax = 0.6, 0.74\nfirstSurf = graph_view(ax, sigmaI, muI, sigmaV, muV, Imin, Imax, Vmin, Vmax, alpha=0.8, alphaPart=1, colorPart='firebrick', color='royalblue')\n\nsigmaI = 1.7\nmuI = 18\nsigmaV = 0.71\nmuV = 0.9\n\nmodelSurf = graph_view_without_part(ax, sigmaI, muI, sigmaV, muV, alpha=0.4, color='tomato')\nfirstSurf.set_zorder(4)\nSecSurf.set_zorder(3)\nThirdSurf.set_zorder(2)\nmodelSurf.set_zorder(5)\nbackground(ax)\n\nplt.show()\n```\n\n\u0422\u0435\u043f\u0435\u0440\u044c \u043a\u0430\u0436\u0434\u044b\u0439 \u043f\u043e\u043b\u0438\u0433\u043e\u043d \u0431\u0443\u0434\u0435\u0442 \u0438\u043c\u0435\u0442\u044c \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u043d\u044b\u0435 RGBA-\u0446\u0432\u0435\u0442\u0430 \u0438 \u043f\u0440\u043e\u0437\u0440\u0430\u0447\u043d\u043e\u0441\u0442\u044c, \u0437\u0430\u0432\u0438\u0441\u044f\u0449\u0443\u044e \u043e\u0442 \u0432\u044b\u0441\u043e\u0442\u044b (\u043e\u0441\u044c Z).","behavior":"degenerate_repetition","conversation_hash":"c01d8016831498e4a778a668ea110a9e","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-05-13","n_chars":5985,"n_turns_in_conversation":3,"n_words":741,"source_row_offset":47438,"source_shard":"turns-00026.parquet","timestamp":"Wed, 07 Aug 2024 08:48:52 GMT","turn_id":"0fda20df3c31508c78a6a057","turn_index":2,"user_text":"\u0412\u044b\u0434\u0430\u0435\u0442 \u043e\u0448\u0438\u0431\u043a\u0443 ValueError: RGBA sequence should have length 3 or 4"},{"assistant_initiates":false,"asst_text":"Step into the world of Nijito and take the reins of a rising virtual music group in this engaging Stat Raiser Simulation game. Traverse through three thrilling years, making pivotal choices as each member of the band, where every decision shapes their romantic pursuits and the band's ultimate destiny. With multiple endings, will you guide Nijito to chart-topping success or navigate the challenges that could lead to their breakup?","behavior":"degenerate_repetition","conversation_hash":"a777be12662ffe1d1d7611a00dd821cb","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":860,"n_turns_in_conversation":6,"n_words":148,"source_row_offset":47439,"source_shard":"turns-00026.parquet","timestamp":"Wed, 07 Aug 2024 08:50:01 GMT","turn_id":"3221fc5d979c12eab8518ebd","turn_index":0,"user_text":"Help me write the 3 sentence elevator pitch of this game:\n- A Stat Raiser Simulation game \n- Player manage a rising virtual music group, a band called Nijito\n- Player takes on the perspective of various characters in the band, and go through 3 years of time, making choices. \n- There are multiple endings for how each character pursue romance and the fate of the music group, will they break up? Or claim the top of the chart?"},{"assistant_initiates":false,"asst_text":"Manage Nijito in this dynamic Stat Raiser Simulation, where your choices determine the romantic paths and chart-topping fate of a rising virtual music group over three thrilling years.","behavior":"degenerate_repetition","conversation_hash":"a777be12662ffe1d1d7611a00dd821cb","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":220,"n_turns_in_conversation":6,"n_words":34,"source_row_offset":47440,"source_shard":"turns-00026.parquet","timestamp":"Wed, 07 Aug 2024 08:50:01 GMT","turn_id":"7dce6cae6bbfec0d040abcb4","turn_index":1,"user_text":"Write the 1 sentence elevator pitch"},{"assistant_initiates":false,"asst_text":"Guide Nijito to either chart-topping success or potential breakup in this immersive Stat Raiser Simulation, where your decisions as each band member shape their romantic journeys and the band's future over three pivotal years.","behavior":"degenerate_repetition","conversation_hash":"a777be12662ffe1d1d7611a00dd821cb","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":265,"n_turns_in_conversation":6,"n_words":41,"source_row_offset":47441,"source_shard":"turns-00026.parquet","timestamp":"Wed, 07 Aug 2024 08:50:01 GMT","turn_id":"3f3354dfaefdcd5e5f3a82a0","turn_index":2,"user_text":"it's good, come up with an alternative"},{"assistant_initiates":false,"asst_text":"Step into the shoes of Nijito's band members in this captivating Stat Raiser Simulation, where your strategic decisions over three years influence their romantic lives and the band's rise to fame or fall from grace.","behavior":"degenerate_repetition","conversation_hash":"a777be12662ffe1d1d7611a00dd821cb","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":223,"n_turns_in_conversation":6,"n_words":36,"source_row_offset":47442,"source_shard":"turns-00026.parquet","timestamp":"Wed, 07 Aug 2024 08:50:01 GMT","turn_id":"bd0fc72645163cfb7991a2bc","turn_index":3,"user_text":"another"},{"assistant_initiates":false,"asst_text":"Immerse yourself in the world of Nijito, a rising virtual music group, where your strategic choices over three years as each band member shape their romantic journeys and the group's destiny. Will your decisions lead them to chart-topping fame or risk their breakup in this captivating Stat Raiser Simulation?","behavior":"degenerate_repetition","conversation_hash":"a777be12662ffe1d1d7611a00dd821cb","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":346,"n_turns_in_conversation":6,"n_words":55,"source_row_offset":47443,"source_shard":"turns-00026.parquet","timestamp":"Wed, 07 Aug 2024 08:50:01 GMT","turn_id":"828e2b566e9c98fcfd1b7fbf","turn_index":4,"user_text":"rewrite it with 2 sentences please. "},{"assistant_initiates":false,"asst_text":"In this captivating Stat Raiser Simulation, lead Nijito through three transformative years where your strategic choices as each band member determine their romantic paths and decide if they rise to fame or risk breaking up.","behavior":"degenerate_repetition","conversation_hash":"a777be12662ffe1d1d7611a00dd821cb","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":243,"n_turns_in_conversation":6,"n_words":38,"source_row_offset":47444,"source_shard":"turns-00026.parquet","timestamp":"Wed, 07 Aug 2024 08:50:01 GMT","turn_id":"8d1cd3239bde7bfb607cac66","turn_index":5,"user_text":"One sentence please"},{"assistant_initiates":false,"asst_text":"\ubb3c\ub860\uc774\uc8e0! \ub098\ub098\ud788\ub77c\ub97c \uc88b\uc544\ud558\ub294 \uadc0\uc5ec\uc6b4 \uc5ec\uc790\uc544\uc774 \uce90\ub9ad\ud130\ub97c \ub9cc\ub4e4\uc5b4\ubcfc\uac8c\uc694. \n\n---\n\n**\uc774\ub984**: \ud558\ub098 (Hana)\n\n**\ub098\uc774**: 12\uc0b4\n\n**\uc131\ubcc4**: \uc5ec\uc790\n\n**\ud0a4**: 140cm\n\n**\uc678\ubaa8**:\n- \ud070 \ub3d9\uadf8\ub780 \ub208\uc5d0 \ubc18\uc9dd\uc774\ub294 \uac08\uc0c9 \ub208\ub3d9\uc790.\n- \ubd80\ub4dc\ub7ec\uc6b4 \ubd84\ud64d\uc0c9 \uba38\ub9ac\uce74\ub77d\uc744 \uc591\uac08\ub798\ub85c \ub54b\uc558\uc74c.\n- \uace7\uace0 \ud558\uc580 \ud53c\ubd80\uc5d0 \ubcfc\uc5d0 \uc0b4\uc9dd \ubd89\uc740 \uae30\ubbf8\uac00 \ub3cb\ubcf4\uc784.\n- \ubc1d\uc740 \uc0c9\uc0c1\uc758 \uc637\uc744 \uc88b\uc544\ud558\uba70 \uc790\uc8fc \ubd84\ud64d\uc0c9\uc774\ub098 \ud558\ub298\uc0c9 \uc6d0\ud53c\uc2a4\ub97c \uc785\uc74c.\n- \ub098\ub098\ud788\ub77c \uce90\ub9ad\ud130\uac00 \uadf8\ub824\uc9c4 \ud578\ub4dc\ud3f0 \ucf00\uc774\uc2a4\ub97c \ud56d\uc0c1 \uac00\uc9c0\uace0 \ub2e4\ub2d8.\n\n**\uc131\uaca9**:\n- \ud65c\ubc1c\ud558\uace0 \uba85\ub791\ud558\uba70 \uce5c\uad6c\ub4e4\uacfc \uc798 \uc5b4\uc6b8\ub9bc.\n- \ub178\ub798 \ubd80\ub974\ub294 \uac78 \ub9e4\uc6b0 \uc88b\uc544\ud558\uace0, \ub098\ub098\ud788\ub77c\uc758 \ub178\ub798\ub97c \uc790\uc8fc \ud765\uc5bc\uac70\ub9bc.\n- \ud559\uad50\uc758 \uc74c\uc545 \ud074\ub7fd\uc5d0 \uac00\uc785\ud574 \uc788\uc73c\uba70, \ub098\ub098\ud788\ub77c\uc758 \uace1\uc744 \uc5f0\uc8fc\ud558\ub294 \uac83\uc774 \uafc8.\n- \uc0c1\ub0e5\ud558\uace0 \uce5c\uc808\ud558\uba70 \uce5c\uad6c\ub4e4\uc774 \uace0\ubbfc\uc774 \uc788\uc744 \ub54c \uc798 \ub4e4\uc5b4\uc8fc\ub294 \ud3b8.\n\n**\ucde8\ubbf8**:\n- \ub9e4\uc8fc \ub098\ub098\ud788\ub77c\uc758 \uc74c\uc545\ubc29\uc1a1\uc744 \uc2dc\uccad\ud558\uace0, \ub098\ub098\ud788\ub77c\uc758 \uc0c8 \uc568\ubc94\uc774 \ub098\uc624\uba74 \uccab\ub0a0\uc5d0 \ubc18\ub4dc\uc2dc \uad6c\ub9e4\ud568.\n- \uc720\ud29c\ube0c\uc5d0\uc11c \ub098\ub098\ud788\ub77c \ucee4\ubc84\uc1a1\uc744 \ucc3e\uc544\ubcf4\uba70 \ub530\ub77c \ubd80\ub974\uae30.\n- \uc790\uc2e0\uc758 \ubc29\uc5d0 \ub098\ub098\ud788\ub77c\uc758 \ud3ec\uc2a4\ud130\uc640 \uad7f\uc988\ub97c \uafb8\ubbf8\uae30.\n- \uc190\uc7ac\uc8fc\uac00 \uc88b\uc544\uc11c \ub098\ub098\ud788\ub77c \ud14c\ub9c8\uc758 \uc545\uc138\uc11c\ub9ac\ub098 \uc791\uc740 \uacf5\uc608\ud488\uc744 \ub9cc\ub4dc\ub294 \uac83\ub3c4 \uc990\uae40.\n\n**\ud2b9\uae30**:\n- \ub178\ub798 \uc678\uc5d0\ub3c4 \ubb34\ub300\uc5d0\uc11c \ub304\uc2a4\ub97c \ucd94\ub294 \uc7ac\ub2a5\uc774 \uc788\uc74c.\n- \ub098\ub098\ud788\ub77c \ucee4\ubc84\uace1\uc744 \uce5c\uad6c\ub4e4 \uc55e\uc5d0\uc11c \uacf5\uc5f0\ud560 \ub54c\ub9c8\ub2e4 \uc778\uae30\uac00 \ub9ce\uc74c.\n- \uce5c\uad6c\ub4e4\uc5d0\uac8c \ub098\ub098\ud788\ub77c \uc74c\uc545\uc758 \ub9e4\ub825\uc744 \uc124\uba85\ud558\uba70 \ub2e4\uac19\uc774 \ud32c\uc774 \ub418\ub3c4\ub85d \uc774\ub054.\n\n**\uc18c\uc6d0**:\n- \ud55c \ubc88\uc774\ub77c\ub3c4 \ub098\ub098\ud788\ub77c\uc758 \uc2e4\uc81c \ucf58\uc11c\ud2b8\uc5d0 \uac00\uc11c \uc9c1\uc811 \uacf5\uc5f0\uc744 \ubcf4\uace0 \ub098\ub098\ud788\ub77c\uc5d0\uac8c \uc0ac\uc778\uc744 \ubc1b\ub294 \uac83.\n- \ub098\uc911\uc5d0 \ucee4\uc11c \ub098\ub098\ud788\ub77c \uac19\uc740 \uac00\uc218\uac00 \ub418\ub294 \uac83.\n\n---\n\n\uc774 \uce90\ub9ad\ud130\uac00 \ub9c8\uc74c\uc5d0 \ub4dc\uc168\uc73c\uba74 \uc88b\uaca0\uc5b4\uc694! \uc5b4\ub5a4 \ubd80\ubd84\uc744 \ub354 \ucd94\uac00\ud558\uac70\ub098 \uc218\uc815\ud558\uace0 \uc2f6\uc73c\uc2dc\uba74 \ub9d0\uc500\ud574 \uc8fc\uc138\uc694.","behavior":"degenerate_repetition","conversation_hash":"166ac64f48f9cfb571d2b7f95c3129b0","conversation_redacted":false,"conversation_toxic":false,"country":"South Korea","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Korean","model":"gpt-4o-2024-05-13","n_chars":878,"n_turns_in_conversation":6,"n_words":206,"source_row_offset":47445,"source_shard":"turns-00026.parquet","timestamp":"Wed, 07 Aug 2024 08:50:39 GMT","turn_id":"36c91313a14d18b8903a8ccc","turn_index":0,"user_text":"\ub098\ub098\ud788\ub77c\ub97c \uc88b\uc544\ud558\ub294 \uadc0\uc5ec\uc6b4 \uc5ec\uc790\uc544\uc774 \uce90\ub9ad\ud130 \ub9cc\ub4e4\uc5b4\uc918"},{"assistant_initiates":false,"asst_text":"\uc640, \uba4b\uc9c4 \uc124\uc815\uc774\ub124\uc694! \ud558\ub098\uc640 \uadf8\ub140\uc758 \uce5c\uad6c\ub4e4\uc774 \uc6b4\uc601\uccb4\uc81c\ub97c \ub9cc\ub4e4\uace0 \uc788\ub2e4\ub294 \uc124\uc815\uc5d0 \ub9de\uac8c \uce90\ub9ad\ud130\ub4e4\uc744 \uc870\uae08 \ub354 \uad6c\uccb4\ud654\ud574\ubcfc\uac8c\uc694.\n\n---\n\n**\uc774\ub984**: \ud558\ub098 (Hana)\n\n**\ub098\uc774**: 12\uc0b4\n\n**\uc131\ubcc4**: \uc5ec\uc790\n\n**\uc5ed\ud560**: UI/UX \ub514\uc790\uc774\ub108\n\n**\ud2b9\uc9d5**:\n- \uadf8\ub9bc \uadf8\ub9ac\uae30\ub97c \uc88b\uc544\ud558\uba70, \uc9c1\uc811 \ub098\ub098\ud788\ub77c \ud14c\ub9c8\uc758 UI \uc544\uc774\ucf58\uacfc \ubc30\uacbd\ud654\uba74\uc744 \ub514\uc790\uc778.\n- \uc0ac\uc6a9\uc790 \uce5c\ud654\uc801\uc778 \uc778\ud130\ud398\uc774\uc2a4\ub97c \ub9cc\ub4dc\ub294 \ub370 \uad00\uc2ec\uc774 \ub9ce\uc544\uc11c \uce5c\uad6c\ub4e4\uacfc \ud568\uaed8 \uc0ac\uc6a9\uc131\uc744 \uc5f0\uad6c\ud568.\n- \uac01\uc885 \ud504\ub85c\ud1a0\ud0c0\uc785\uc744 \uc190\uc73c\ub85c \uadf8\ub9ac\uac70\ub098 \ub514\uc9c0\ud138 \ud234\uc744 \uc0ac\uc6a9\ud574\uc11c \uc81c\uc791\ud568.\n\n---\n\n**\uc774\ub984**: \uc18c\ub77c (Sora)\n\n**\ub098\uc774**: 12\uc0b4\n\n**\uc131\ubcc4**: \uc5ec\uc790\n\n**\uc5ed\ud560**: \uba54\uc778 \ud504\ub85c\uadf8\ub798\uba38\n\n**\ud2b9\uc9d5**:\n- \ucef4\ud4e8\ud130 \ud504\ub85c\uadf8\ub798\ubc0d\uc5d0 \ub6f0\uc5b4\ub09c \uc7ac\ub2a5\uc744 \uac00\uc9c0\uace0 \uc788\uc73c\uba70, \uc5ec\ub7ec \uac00\uc9c0 \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\uc5d0 \ub2a5\uc219.\n- \uce5c\uad6c\ub4e4\uc758 \uc544\uc774\ub514\uc5b4\ub97c \uc2e4\ud604\ud558\uae30 \uc704\ud574 \uc5f4\uc2ec\ud788 \ucf54\ub4dc \uc791\uc5c5\uc744 \ud568.\n- \ud56d\uc0c1 \ucd5c\uc2e0 \uae30\uc220 \ub3d9\ud5a5\uc744 \uc5f0\uad6c\ud558\uba74\uc11c\ub3c4 \uce5c\uad6c\ub4e4\uacfc \ud568\uaed8 \ub178\ub294 \uc2dc\uac04\ub3c4 \uc18c\uc911\ud788 \uc5ec\uae40.\n\n---\n\n**\uc774\ub984**: \ubbf8\uce74 (Mika)\n\n**\ub098\uc774**: 12\uc0b4\n\n**\uc131\ubcc4**: \uc5ec\uc790\n\n**\uc5ed\ud560**: \ud504\ub85c\uc81d\ud2b8 \ub9e4\ub2c8\uc800\n\n**\ud2b9\uc9d5**:\n- \ud300\uc758 \ubaa8\ub4e0 \uc791\uc5c5\uc744 \uccb4\uacc4\uc801\uc73c\ub85c \uad00\ub9ac\ud558\uba70, \ub9c8\uc77c\uc2a4\ud1a4\uacfc \uc77c\uc815\uc744 \uc798 \uc870\uc728\ud568.\n- \uce5c\uad6c\ub4e4 \uc0ac\uc774\uc5d0\uc11c \ub300\ud654\ub97c \uc911\uc7ac\ud558\uace0 \uc758\uacac\uc744 \uc870\uc728\ud558\ub294 \uc5ed\ud560\uc744 \uc798 \ub9e1\uc74c.\n- \ud558\ub098\uc640 \uc18c\ub77c\uc758 \uc791\uc5c5\uc744 \uc774\ud574\ud558\uace0 \uade0\ud615 \uc7a1\ud78c \ud504\ub85c\uc81d\ud2b8 \uc9c4\ud589\uc744 \uc704\ud574 \ub178\ub825\ud568.\n\n---\n\n**\uc774\ub984**: \uc720\ud0a4 (Yuki)\n\n**\ub098\uc774**: 12\uc0b4\n\n**\uc131\ubcc4**: \uc5ec\uc790\n\n**\uc5ed\ud560**: \uc2dc\uc2a4\ud15c \uc5d4\uc9c0\ub2c8\uc5b4\n\n**\ud2b9\uc9d5**:\n- \uc6b4\uc601\uccb4\uc81c\uc758 \ud575\uc2ec \uad6c\uc870\uc640 \uc131\ub2a5 \ucd5c\uc801\ud654\uc5d0 \uad00\uc2ec\uc774 \ub9ce\uc73c\uba70, \uc2dc\uc2a4\ud15c \uc5d4\uc9c0\ub2c8\uc5b4 \uc5ed\ud560\uc744 \ub9e1\uc74c.\n- \ud558\ub098\uc758 \ub514\uc790\uc778\uacfc \uc18c\ub77c\uc758 \ud504\ub85c\uadf8\ub798\ubc0d\uc774 \uc6d0\ud65c\ud558\uac8c \uc791\ub3d9\ud558\ub3c4\ub85d \uc2dc\uc2a4\ud15c\uc744 \uc870\uc815\ud558\uace0 \uc810\uac80\ud568.\n- \uc548\uc815\uc131\uc744 \ucd5c\uc6b0\uc120\uc73c\ub85c \uc0dd\uac01\ud558\uba70, \ud14c\uc2a4\ud2b8\uc640 \ub514\ubc84\uae45\uc744 \ucca0\uc800\ud788 \ud568.\n\n---\n\n\uc774\ub807\uac8c \uad6c\uc131\ub41c \ud300\uc774 \ud611\ub825\ud558\uc5ec \ub098\ub098\ud788\ub77c \ud14c\ub9c8\uc758 \uc6b4\uc601\uccb4\uc81c\ub97c \ub9cc\ub4e4\uace0 \uc788\ub2e4\ub294 \uc124\uc815\uc785\ub2c8\ub2e4. \uc774 \ud300\uc740 \uc11c\ub85c \uac01\uc790\uc758 \uac15\uc810\uc744 \uc0b4\ub824 \ud611\ub825\ud558\uace0, \uc790\uc2e0\ub4e4\uc774 \uc88b\uc544\ud558\ub294 \uc544\uc774\ub3cc \ub098\ub098\ud788\ub77c\ub97c \ubaa8\ud2f0\ube0c\ub85c \ud574\uc11c \uc0c9\ub2e4\ub974\uba74\uc11c\ub3c4 \uc0ac\uc6a9\uc790 \uce5c\ud654\uc801\uc778 \uc6b4\uc601\uccb4\uc81c\ub97c \uac1c\ubc1c\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \n\n\uc774 \uc124\uc815\uc774 \ub9c8\uc74c\uc5d0 \ub4dc\uc168\uc73c\uba74 \uc88b\uaca0\uc5b4\uc694! \ucd94\uac00\ud558\uac70\ub098 \uc218\uc815\ud560 \ubd80\ubd84\uc774 \uc788\uc73c\uba74 \uc5b8\uc81c\ub4e0\uc9c0 \ub9d0\uc500\ud574 \uc8fc\uc138\uc694.","behavior":"degenerate_repetition","conversation_hash":"166ac64f48f9cfb571d2b7f95c3129b0","conversation_redacted":false,"conversation_toxic":false,"country":"South Korea","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Korean","model":"gpt-4o-2024-05-13","n_chars":1108,"n_turns_in_conversation":6,"n_words":236,"source_row_offset":47446,"source_shard":"turns-00026.parquet","timestamp":"Wed, 07 Aug 2024 08:50:39 GMT","turn_id":"538a8a4174e0a249b9df2237","turn_index":1,"user_text":"\uadf8\ub140\uc640 \uce5c\uad6c\ub4e4\uc774 \uc6b4\uc601\uccb4\uc81c\ub97c \ub9cc\ub4e4\uace0 \uc788\uc5b4!"}],"shard":{"index":26,"name":"turns-00026.parquet","rows":75832}}