question_id int64 0 977 | question_type stringclasses 30
values | prompt stringlengths 231 943 | data_str stringlengths 401 2.09M | output_requirement stringclasses 10
values | executor_variables stringlengths 57 59 | ground_truth_data stringlengths 55 57 | context stringlengths 35 37 | constraint stringlengths 41 43 |
|---|---|---|---|---|---|---|---|---|
0 | easy_stock-future price | I have the past 15 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 9 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in v... | I have the past 15 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 9 hours. Your goal is to make the most accurate prediction. The historical stock value data of PX for the past 15 days is: [10.01, 10.06, 10.0, 10.0, 9.97, 10.09, 10.02... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_0.pkl | external_data/ground_truth_data/ground_truth_data_0.pkl | external_data/context/context_0.pkl | external_data/constraint/constraint_0.pkl |
1 | easy_stock-future price | I have the past 10 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 19 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in ... | I have the past 10 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 19 hours. Your goal is to make the most accurate prediction. The historical stock value data of NCV for the past 10 days is: [3.38, 3.37, 3.37, 3.38, 3.38, 3.38, 3.38, ... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_1.pkl | external_data/ground_truth_data/ground_truth_data_1.pkl | external_data/context/context_1.pkl | external_data/constraint/constraint_1.pkl |
2 | easy_stock-future price | I have the past 13 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 10 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in ... | I have the past 13 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 10 hours. Your goal is to make the most accurate prediction. The historical stock value data of SKF for the past 13 days is: [10.53, 10.57, 10.56, 10.47, 10.49, 10.51, ... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_2.pkl | external_data/ground_truth_data/ground_truth_data_2.pkl | external_data/context/context_2.pkl | external_data/constraint/constraint_2.pkl |
3 | easy_stock-future price | I have the past 76 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 27 days. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in va... | I have the past 76 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 27 days. Your goal is to make the most accurate prediction. The historical stock value data of PCQ for the past 76 days is: [9.06, 8.94, 8.95, 8.98, 8.97, 8.88, 8.87, 8.... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_3.pkl | external_data/ground_truth_data/ground_truth_data_3.pkl | external_data/context/context_3.pkl | external_data/constraint/constraint_3.pkl |
4 | easy_stock-future price | I have the past 12 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 14 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in ... | I have the past 12 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 14 hours. Your goal is to make the most accurate prediction. The historical stock value data of NAK for the past 12 days is: [0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, ... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_4.pkl | external_data/ground_truth_data/ground_truth_data_4.pkl | external_data/context/context_4.pkl | external_data/constraint/constraint_4.pkl |
5 | easy_stock-future price | I have the past 16 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 17 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in ... | I have the past 16 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 17 hours. Your goal is to make the most accurate prediction. The historical stock value data of ZYXI for the past 16 days is: [7.82, 7.89, 7.86, 7.83, 7.81, 7.88, 7.74,... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_5.pkl | external_data/ground_truth_data/ground_truth_data_5.pkl | external_data/context/context_5.pkl | external_data/constraint/constraint_5.pkl |
6 | easy_stock-future price | I have the past 15 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 5 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in v... | I have the past 15 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 5 hours. Your goal is to make the most accurate prediction. The historical stock value data of MHO for the past 15 days is: [156.3, 156.33, 158.2, 156.77, 157.01, 158.8... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_6.pkl | external_data/ground_truth_data/ground_truth_data_6.pkl | external_data/context/context_6.pkl | external_data/constraint/constraint_6.pkl |
7 | easy_stock-future price | I have the past 12 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 10 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in ... | I have the past 12 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 10 hours. Your goal is to make the most accurate prediction. The historical stock value data of SLQT for the past 12 days is: [3.47, 3.43, 3.38, 3.44, 3.4, 3.45, 3.36, ... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_7.pkl | external_data/ground_truth_data/ground_truth_data_7.pkl | external_data/context/context_7.pkl | external_data/constraint/constraint_7.pkl |
8 | easy_stock-future price | I have the past 11 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 19 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in ... | I have the past 11 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 19 hours. Your goal is to make the most accurate prediction. The historical stock value data of NBTB for the past 11 days is: [47.05, 47.13, 47.04, 47.14, 46.57, 46.44,... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_8.pkl | external_data/ground_truth_data/ground_truth_data_8.pkl | external_data/context/context_8.pkl | external_data/constraint/constraint_8.pkl |
9 | easy_stock-future price | I have the past 37 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 23 days. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in va... | I have the past 37 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 23 days. Your goal is to make the most accurate prediction. The historical stock value data of ONCT for the past 37 days is: [9.3, 10.03, 10.15, 9.5, 9.55, 9.25, 9.59, 9... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_9.pkl | external_data/ground_truth_data/ground_truth_data_9.pkl | external_data/context/context_9.pkl | external_data/constraint/constraint_9.pkl |
10 | easy_stock-future price | I have the past 73 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 12 days. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in va... | I have the past 73 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 12 days. Your goal is to make the most accurate prediction. The historical stock value data of TDF for the past 73 days is: [8.72, 8.67, 8.65, 8.47, 8.51, 8.46, 8.3, 8.1... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_10.pkl | external_data/ground_truth_data/ground_truth_data_10.pkl | external_data/context/context_10.pkl | external_data/constraint/constraint_10.pkl |
11 | easy_stock-future price | I have the past 18 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 16 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in ... | I have the past 18 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 16 hours. Your goal is to make the most accurate prediction. The historical stock value data of SMCX for the past 18 days is: [8.15, 8.1, 8.29, 8.01, 8.06, 8.02, 8.12, ... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_11.pkl | external_data/ground_truth_data/ground_truth_data_11.pkl | external_data/context/context_11.pkl | external_data/constraint/constraint_11.pkl |
12 | easy_stock-future price | I have the past 85 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 18 days. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in va... | I have the past 85 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 18 days. Your goal is to make the most accurate prediction. The historical stock value data of MED for the past 85 days is: [52.04, 53.28, 54.47, 54.02, 53.42, 54.88, 55... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_12.pkl | external_data/ground_truth_data/ground_truth_data_12.pkl | external_data/context/context_12.pkl | external_data/constraint/constraint_12.pkl |
13 | easy_stock-future price | I have the past 43 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 27 days. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in va... | I have the past 43 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 27 days. Your goal is to make the most accurate prediction. The historical stock value data of QDF for the past 43 days is: [62.0, 61.8, 62.39, 62.9, 63.0, 62.62, 62.86,... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_13.pkl | external_data/ground_truth_data/ground_truth_data_13.pkl | external_data/context/context_13.pkl | external_data/constraint/constraint_13.pkl |
14 | easy_stock-future price | I have the past 13 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 7 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in v... | I have the past 13 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 7 hours. Your goal is to make the most accurate prediction. The historical stock value data of PCAR for the past 13 days is: [93.23, 94.51, 93.95, 94.32, 94.31, 94.2, 9... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_14.pkl | external_data/ground_truth_data/ground_truth_data_14.pkl | external_data/context/context_14.pkl | external_data/constraint/constraint_14.pkl |
15 | easy_stock-future price | I have the past 34 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 17 days. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in va... | I have the past 34 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 17 days. Your goal is to make the most accurate prediction. The historical stock value data of SIXG for the past 34 days is: [30.6, 30.75, 30.87, 30.4, 30.53, 30.99, 31.... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_15.pkl | external_data/ground_truth_data/ground_truth_data_15.pkl | external_data/context/context_15.pkl | external_data/constraint/constraint_15.pkl |
16 | easy_stock-future price | I have the past 19 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 14 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in ... | I have the past 19 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 14 hours. Your goal is to make the most accurate prediction. The historical stock value data of VTR for the past 19 days is: [63.32, 62.78, 62.71, 62.61, 62.66, 62.68, ... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_16.pkl | external_data/ground_truth_data/ground_truth_data_16.pkl | external_data/context/context_16.pkl | external_data/constraint/constraint_16.pkl |
17 | easy_stock-future price | I have the past 47 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 28 days. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in va... | I have the past 47 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 28 days. Your goal is to make the most accurate prediction. The historical stock value data of NSPR for the past 47 days is: [2.62, 2.66, 2.81, 2.71, 2.61, 2.62, 2.63, 2... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_17.pkl | external_data/ground_truth_data/ground_truth_data_17.pkl | external_data/context/context_17.pkl | external_data/constraint/constraint_17.pkl |
18 | easy_stock-future price | I have the past 11 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 22 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in ... | I have the past 11 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 22 hours. Your goal is to make the most accurate prediction. The historical stock value data of SRDX for the past 11 days is: [38.9, 38.79, 38.83, 38.81, 38.86, 38.83, ... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_18.pkl | external_data/ground_truth_data/ground_truth_data_18.pkl | external_data/context/context_18.pkl | external_data/constraint/constraint_18.pkl |
19 | easy_stock-future price | I have the past 16 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 10 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in ... | I have the past 16 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 10 hours. Your goal is to make the most accurate prediction. The historical stock value data of LPLA for the past 16 days is: [211.07, 211.24, 210.7, 210.53, 211.54, 21... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_19.pkl | external_data/ground_truth_data/ground_truth_data_19.pkl | external_data/context/context_19.pkl | external_data/constraint/constraint_19.pkl |
20 | easy_stock-future price | I have the past 97 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 12 days. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in va... | I have the past 97 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 12 days. Your goal is to make the most accurate prediction. The historical stock value data of SMB for the past 97 days is: [16.55, 16.57, 16.55, 16.57, 16.57, 16.6, 16.... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_20.pkl | external_data/ground_truth_data/ground_truth_data_20.pkl | external_data/context/context_20.pkl | external_data/constraint/constraint_20.pkl |
21 | easy_stock-future price | I have the past 39 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 24 days. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in va... | I have the past 39 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the stock price for the future 24 days. Your goal is to make the most accurate prediction. The historical stock value data of TRVI for the past 39 days is: [1.11, 1.11, 1.07, 1.15, 1.09, 1.15, 1.15, 1... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_21.pkl | external_data/ground_truth_data/ground_truth_data_21.pkl | external_data/context/context_21.pkl | external_data/constraint/constraint_21.pkl |
22 | easy_stock-future price | I have the past 60 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 12 days. Your goal is to make the most accurate prediction. Please give me your prediction, return it as a 2d numpy array.The historical stock value data is stored in va... | I have the past 60 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the stock price for the future 12 days. Your goal is to make the most accurate prediction. The historical stock value data of VIRC for the past 60 days is: [7.21, 7.9, 6.33, 6.62, 6.69, 6.94, 7.25, 7.... | Answer:
prediction = np.array([[...], [...], ...],dtype=np.float64)
prediction.shape = (future length, number of stocks) | external_data/executor_variables/executor_variables_22.pkl | external_data/ground_truth_data/ground_truth_data_22.pkl | external_data/context/context_22.pkl | external_data/constraint/constraint_22.pkl |
23 | easy_stock-future volatility | I have the past 57 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 22 days. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ea... | I have the past 57 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 22 days. Your goal is to make the most accurate prediction .The historical stock value data of SHLS for the past 57 days is: [8.45, 8.5, 8.73, 9.0, 8.8... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_23.pkl | external_data/ground_truth_data/ground_truth_data_23.pkl | external_data/context/context_23.pkl | external_data/constraint/constraint_23.pkl |
24 | easy_stock-future volatility | I have the past 30 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 18 days. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ea... | I have the past 30 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 18 days. Your goal is to make the most accurate prediction .The historical stock value data of OEUR for the past 30 days is: [30.54, 30.07, 30.3, 30.45... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_24.pkl | external_data/ground_truth_data/ground_truth_data_24.pkl | external_data/context/context_24.pkl | external_data/constraint/constraint_24.pkl |
25 | easy_stock-future volatility | I have the past 18 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 13 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ... | I have the past 18 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 13 hours. Your goal is to make the most accurate prediction .The historical stock value data of VKI for the past 18 days is: [9.06, 9.09, 9.09, 9.09, ... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_25.pkl | external_data/ground_truth_data/ground_truth_data_25.pkl | external_data/context/context_25.pkl | external_data/constraint/constraint_25.pkl |
26 | easy_stock-future volatility | I have the past 10 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 20 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ... | I have the past 10 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 20 hours. Your goal is to make the most accurate prediction .The historical stock value data of LZ for the past 10 days is: [6.55, 6.54, 6.59, 6.53, 6... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_26.pkl | external_data/ground_truth_data/ground_truth_data_26.pkl | external_data/context/context_26.pkl | external_data/constraint/constraint_26.pkl |
27 | easy_stock-future volatility | I have the past 16 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 7 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of e... | I have the past 16 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 7 hours. Your goal is to make the most accurate prediction .The historical stock value data of PFS for the past 16 days is: [18.66, 18.45, 18.23, 18.2... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_27.pkl | external_data/ground_truth_data/ground_truth_data_27.pkl | external_data/context/context_27.pkl | external_data/constraint/constraint_27.pkl |
28 | easy_stock-future volatility | I have the past 19 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 13 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ... | I have the past 19 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 13 hours. Your goal is to make the most accurate prediction .The historical stock value data of SPSM for the past 19 days is: [43.75, 43.7, 43.83, 43.... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_28.pkl | external_data/ground_truth_data/ground_truth_data_28.pkl | external_data/context/context_28.pkl | external_data/constraint/constraint_28.pkl |
29 | easy_stock-future volatility | I have the past 45 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 12 days. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ea... | I have the past 45 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 12 days. Your goal is to make the most accurate prediction .The historical stock value data of RM for the past 45 days is: [23.73, 23.95, 21.44, 22.44,... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_29.pkl | external_data/ground_truth_data/ground_truth_data_29.pkl | external_data/context/context_29.pkl | external_data/constraint/constraint_29.pkl |
30 | easy_stock-future volatility | I have the past 19 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 10 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ... | I have the past 19 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 10 hours. Your goal is to make the most accurate prediction .The historical stock value data of NGL for the past 19 days is: [4.11, 4.13, 4.12, 4.13, ... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_30.pkl | external_data/ground_truth_data/ground_truth_data_30.pkl | external_data/context/context_30.pkl | external_data/constraint/constraint_30.pkl |
31 | easy_stock-future volatility | I have the past 18 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 5 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of e... | I have the past 18 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 5 hours. Your goal is to make the most accurate prediction .The historical stock value data of SLV for the past 18 days is: [25.48, 25.44, 25.48, 25.7... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_31.pkl | external_data/ground_truth_data/ground_truth_data_31.pkl | external_data/context/context_31.pkl | external_data/constraint/constraint_31.pkl |
32 | easy_stock-future volatility | I have the past 36 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 23 days. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ea... | I have the past 36 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 23 days. Your goal is to make the most accurate prediction .The historical stock value data of SES for the past 36 days is: [1.39, 1.27, 1.21, 1.23, 1.... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_32.pkl | external_data/ground_truth_data/ground_truth_data_32.pkl | external_data/context/context_32.pkl | external_data/constraint/constraint_32.pkl |
33 | easy_stock-future volatility | I have the past 86 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 28 days. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ea... | I have the past 86 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 28 days. Your goal is to make the most accurate prediction .The historical stock value data of MARPS for the past 86 days is: [4.8, 4.85, 4.87, 4.81, 4... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_33.pkl | external_data/ground_truth_data/ground_truth_data_33.pkl | external_data/context/context_33.pkl | external_data/constraint/constraint_33.pkl |
34 | easy_stock-future volatility | I have the past 80 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 20 days. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ea... | I have the past 80 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 20 days. Your goal is to make the most accurate prediction .The historical stock value data of MNDO for the past 80 days is: [1.91, 1.89, 1.89, 1.89, 1... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_34.pkl | external_data/ground_truth_data/ground_truth_data_34.pkl | external_data/context/context_34.pkl | external_data/constraint/constraint_34.pkl |
35 | easy_stock-future volatility | I have the past 43 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 10 days. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ea... | I have the past 43 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 10 days. Your goal is to make the most accurate prediction .The historical stock value data of RFV for the past 43 days is: [109.26, 108.36, 109.32, 10... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_35.pkl | external_data/ground_truth_data/ground_truth_data_35.pkl | external_data/context/context_35.pkl | external_data/constraint/constraint_35.pkl |
36 | easy_stock-future volatility | I have the past 18 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 14 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ... | I have the past 18 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 14 hours. Your goal is to make the most accurate prediction .The historical stock value data of NEXT for the past 18 days is: [4.68, 4.64, 4.66, 4.78,... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_36.pkl | external_data/ground_truth_data/ground_truth_data_36.pkl | external_data/context/context_36.pkl | external_data/constraint/constraint_36.pkl |
37 | easy_stock-future volatility | I have the past 49 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 22 days. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ea... | I have the past 49 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 22 days. Your goal is to make the most accurate prediction .The historical stock value data of PXF for the past 49 days is: [42.34, 42.16, 42.52, 42.32... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_37.pkl | external_data/ground_truth_data/ground_truth_data_37.pkl | external_data/context/context_37.pkl | external_data/constraint/constraint_37.pkl |
38 | easy_stock-future volatility | I have the past 12 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 5 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of e... | I have the past 12 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 5 hours. Your goal is to make the most accurate prediction .The historical stock value data of WRBY for the past 12 days is: [13.51, 13.52, 13.4, 13.5... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_38.pkl | external_data/ground_truth_data/ground_truth_data_38.pkl | external_data/context/context_38.pkl | external_data/constraint/constraint_38.pkl |
39 | easy_stock-future volatility | I have the past 18 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 8 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of e... | I have the past 18 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 8 hours. Your goal is to make the most accurate prediction .The historical stock value data of SLAB for the past 18 days is: [105.61, 105.25, 106.35, ... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_39.pkl | external_data/ground_truth_data/ground_truth_data_39.pkl | external_data/context/context_39.pkl | external_data/constraint/constraint_39.pkl |
40 | easy_stock-future volatility | I have the past 65 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 27 days. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ea... | I have the past 65 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 27 days. Your goal is to make the most accurate prediction .The historical stock value data of PACB for the past 65 days is: [9.44, 9.19, 10.16, 9.76, ... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_40.pkl | external_data/ground_truth_data/ground_truth_data_40.pkl | external_data/context/context_40.pkl | external_data/constraint/constraint_40.pkl |
41 | easy_stock-future volatility | I have the past 12 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 6 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of e... | I have the past 12 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 6 hours. Your goal is to make the most accurate prediction .The historical stock value data of TPX for the past 12 days is: [50.14, 49.67, 49.44, 49.5... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_41.pkl | external_data/ground_truth_data/ground_truth_data_41.pkl | external_data/context/context_41.pkl | external_data/constraint/constraint_41.pkl |
42 | easy_stock-future volatility | I have the past 14 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 10 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ... | I have the past 14 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 10 hours. Your goal is to make the most accurate prediction .The historical stock value data of UUP for the past 14 days is: [28.12, 28.2, 28.17, 28.1... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_42.pkl | external_data/ground_truth_data/ground_truth_data_42.pkl | external_data/context/context_42.pkl | external_data/constraint/constraint_42.pkl |
43 | easy_stock-future volatility | I have the past 11 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 22 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ... | I have the past 11 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 22 hours. Your goal is to make the most accurate prediction .The historical stock value data of JVAL for the past 11 days is: [42.0, 41.89, 41.95, 42.... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_43.pkl | external_data/ground_truth_data/ground_truth_data_43.pkl | external_data/context/context_43.pkl | external_data/constraint/constraint_43.pkl |
44 | easy_stock-future volatility | I have the past 33 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 27 days. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ea... | I have the past 33 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 27 days. Your goal is to make the most accurate prediction .The historical stock value data of LX for the past 33 days is: [2.04, 2.03, 2.0, 2.04, 2.09... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_44.pkl | external_data/ground_truth_data/ground_truth_data_44.pkl | external_data/context/context_44.pkl | external_data/constraint/constraint_44.pkl |
45 | easy_stock-future volatility | I have the past 13 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 19 hours. Your goal is to make the most accurate prediction .Please give me your prediction, return a 1d numpy array with the predicted volatility of ... | I have the past 13 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the volatility of the stock price for the future 19 hours. Your goal is to make the most accurate prediction .The historical stock value data of LFVN for the past 13 days is: [8.91, 8.88, 8.81, 8.83,... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_45.pkl | external_data/ground_truth_data/ground_truth_data_45.pkl | external_data/context/context_45.pkl | external_data/constraint/constraint_45.pkl |
46 | easy_stock-future trend | I have the past 15 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 12 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing st... | I have the past 15 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 12 hours. Your goal is to make the most accurate prediction. The historical stock value data of KTF for the past 15 days is: [9.84, 9.84, 9.84, 9.83, 9.87,... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_46.pkl | external_data/ground_truth_data/ground_truth_data_46.pkl | external_data/context/context_46.pkl | external_data/constraint/constraint_46.pkl |
47 | easy_stock-future trend | I have the past 13 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 17 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing st... | I have the past 13 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 17 hours. Your goal is to make the most accurate prediction. The historical stock value data of ZUMZ for the past 13 days is: [26.65, 26.36, 26.27, 26.08, ... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_47.pkl | external_data/ground_truth_data/ground_truth_data_47.pkl | external_data/context/context_47.pkl | external_data/constraint/constraint_47.pkl |
48 | easy_stock-future trend | I have the past 17 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 14 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing st... | I have the past 17 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 14 hours. Your goal is to make the most accurate prediction. The historical stock value data of SAP for the past 17 days is: [212.19, 212.82, 212.45, 212.6... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_48.pkl | external_data/ground_truth_data/ground_truth_data_48.pkl | external_data/context/context_48.pkl | external_data/constraint/constraint_48.pkl |
49 | easy_stock-future trend | I have the past 53 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 24 days. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing stri... | I have the past 53 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 24 days. Your goal is to make the most accurate prediction. The historical stock value data of XCCC for the past 53 days is: [35.5, 35.71, 35.71, 35.78, 35.... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_49.pkl | external_data/ground_truth_data/ground_truth_data_49.pkl | external_data/context/context_49.pkl | external_data/constraint/constraint_49.pkl |
50 | easy_stock-future trend | I have the past 14 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 17 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing st... | I have the past 14 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 17 hours. Your goal is to make the most accurate prediction. The historical stock value data of KYMR for the past 14 days is: [45.75, 45.69, 45.87, 46.25, ... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_50.pkl | external_data/ground_truth_data/ground_truth_data_50.pkl | external_data/context/context_50.pkl | external_data/constraint/constraint_50.pkl |
51 | easy_stock-future trend | I have the past 93 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 16 days. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing stri... | I have the past 93 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 16 days. Your goal is to make the most accurate prediction. The historical stock value data of OGS for the past 93 days is: [61.09, 60.59, 59.16, 58.94, 57.... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_51.pkl | external_data/ground_truth_data/ground_truth_data_51.pkl | external_data/context/context_51.pkl | external_data/constraint/constraint_51.pkl |
52 | easy_stock-future trend | I have the past 13 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 10 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing st... | I have the past 13 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 10 hours. Your goal is to make the most accurate prediction. The historical stock value data of WPRT for the past 13 days is: [5.49, 5.48, 5.51, 5.5, 5.52,... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_52.pkl | external_data/ground_truth_data/ground_truth_data_52.pkl | external_data/context/context_52.pkl | external_data/constraint/constraint_52.pkl |
53 | easy_stock-future trend | I have the past 11 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 6 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing str... | I have the past 11 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 6 hours. Your goal is to make the most accurate prediction. The historical stock value data of SNDL for the past 11 days is: [1.99, 1.98, 1.96, 1.97, 1.97,... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_53.pkl | external_data/ground_truth_data/ground_truth_data_53.pkl | external_data/context/context_53.pkl | external_data/constraint/constraint_53.pkl |
54 | easy_stock-future trend | I have the past 11 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 20 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing st... | I have the past 11 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 20 hours. Your goal is to make the most accurate prediction. The historical stock value data of LAES for the past 11 days is: [0.51, 0.48, 0.48, 0.49, 0.48... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_54.pkl | external_data/ground_truth_data/ground_truth_data_54.pkl | external_data/context/context_54.pkl | external_data/constraint/constraint_54.pkl |
55 | easy_stock-future trend | I have the past 10 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 12 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing st... | I have the past 10 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 12 hours. Your goal is to make the most accurate prediction. The historical stock value data of VO for the past 10 days is: [252.12, 251.99, 251.94, 250.58... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_55.pkl | external_data/ground_truth_data/ground_truth_data_55.pkl | external_data/context/context_55.pkl | external_data/constraint/constraint_55.pkl |
56 | easy_stock-future trend | I have the past 12 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 12 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing st... | I have the past 12 hours historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 12 hours. Your goal is to make the most accurate prediction. The historical stock value data of PEGA for the past 12 days is: [69.59, 69.26, 68.96, 68.82, ... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_56.pkl | external_data/ground_truth_data/ground_truth_data_56.pkl | external_data/context/context_56.pkl | external_data/constraint/constraint_56.pkl |
57 | easy_stock-future trend | I have the past 36 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 21 days. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing stri... | I have the past 36 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 21 days. Your goal is to make the most accurate prediction. The historical stock value data of VTIP for the past 36 days is: [46.96, 46.94, 46.93, 47.02, 47... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_57.pkl | external_data/ground_truth_data/ground_truth_data_57.pkl | external_data/context/context_57.pkl | external_data/constraint/constraint_57.pkl |
58 | easy_stock-future trend | I have the past 17 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 9 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing str... | I have the past 17 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 9 hours. Your goal is to make the most accurate prediction. The historical stock value data of RARE for the past 17 days is: [55.9, 56.28, 56.1, 56.96, 56.... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_58.pkl | external_data/ground_truth_data/ground_truth_data_58.pkl | external_data/context/context_58.pkl | external_data/constraint/constraint_58.pkl |
59 | easy_stock-future trend | I have the past 56 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 29 days. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing stri... | I have the past 56 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 29 days. Your goal is to make the most accurate prediction. The historical stock value data of SCM for the past 56 days is: [12.22, 12.31, 12.16, 12.02, 11.... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_59.pkl | external_data/ground_truth_data/ground_truth_data_59.pkl | external_data/context/context_59.pkl | external_data/constraint/constraint_59.pkl |
60 | easy_stock-future trend | I have the past 10 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 12 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing st... | I have the past 10 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 12 hours. Your goal is to make the most accurate prediction. The historical stock value data of JTAI for the past 10 days is: [0.13, 0.13, 0.12, 0.13, 0.13... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_60.pkl | external_data/ground_truth_data/ground_truth_data_60.pkl | external_data/context/context_60.pkl | external_data/constraint/constraint_60.pkl |
61 | easy_stock-future trend | I have the past 19 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 8 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing str... | I have the past 19 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 8 hours. Your goal is to make the most accurate prediction. The historical stock value data of SIGA for the past 19 days is: [7.98, 7.82, 7.72, 7.71, 7.83,... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_61.pkl | external_data/ground_truth_data/ground_truth_data_61.pkl | external_data/context/context_61.pkl | external_data/constraint/constraint_61.pkl |
62 | easy_stock-future trend | I have the past 47 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 26 days. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing stri... | I have the past 47 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 26 days. Your goal is to make the most accurate prediction. The historical stock value data of RSPM for the past 47 days is: [29.57, 29.46, 30.5, 30.73, 30.... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_62.pkl | external_data/ground_truth_data/ground_truth_data_62.pkl | external_data/context/context_62.pkl | external_data/constraint/constraint_62.pkl |
63 | easy_stock-future trend | I have the past 88 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 22 days. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing stri... | I have the past 88 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 22 days. Your goal is to make the most accurate prediction. The historical stock value data of SNPS for the past 88 days is: [463.82, 450.72, 461.32, 459.75... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_63.pkl | external_data/ground_truth_data/ground_truth_data_63.pkl | external_data/context/context_63.pkl | external_data/constraint/constraint_63.pkl |
64 | easy_stock-future trend | I have the past 23 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 24 days. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing stri... | I have the past 23 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 24 days. Your goal is to make the most accurate prediction. The historical stock value data of PK for the past 23 days is: [15.59, 15.66, 15.42, 15.08, 14.9... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_64.pkl | external_data/ground_truth_data/ground_truth_data_64.pkl | external_data/context/context_64.pkl | external_data/constraint/constraint_64.pkl |
65 | easy_stock-future trend | I have the past 17 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 14 hours. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing st... | I have the past 17 hours historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 14 hours. Your goal is to make the most accurate prediction. The historical stock value data of LNC for the past 17 days is: [31.08, 31.22, 31.34, 31.2, 31... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_65.pkl | external_data/ground_truth_data/ground_truth_data_65.pkl | external_data/context/context_65.pkl | external_data/constraint/constraint_65.pkl |
66 | easy_stock-future trend | I have the past 54 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 26 days. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing stri... | I have the past 54 days historical stock value data for 2 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 26 days. Your goal is to make the most accurate prediction. The historical stock value data of TFX for the past 54 days is: [251.09, 249.73, 250.16, 250.88,... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_66.pkl | external_data/ground_truth_data/ground_truth_data_66.pkl | external_data/context/context_66.pkl | external_data/constraint/constraint_66.pkl |
67 | easy_stock-future trend | I have the past 37 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 14 days. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing stri... | I have the past 37 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 14 days. Your goal is to make the most accurate prediction. The historical stock value data of TPSC for the past 37 days is: [35.84, 34.92, 35.05, 34.57, 34... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_67.pkl | external_data/ground_truth_data/ground_truth_data_67.pkl | external_data/context/context_67.pkl | external_data/constraint/constraint_67.pkl |
68 | easy_stock-future trend | I have the past 37 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 12 days. Your goal is to make the most accurate prediction. Please give me your prediction, return a 1d numpy array with the predicted trend containing stri... | I have the past 37 days historical stock value data for 1 stocks that I'm interested in investing in. I want to predict the trend of the stock price for the future 12 days. Your goal is to make the most accurate prediction. The historical stock value data of PNBK for the past 37 days is: [3.45, 3.32, 3.3, 3.3, 3.48, 3.... | Answer:
prediction = np.array([...],dtype=<U)
prediction.shape = (number of stocks) | external_data/executor_variables/executor_variables_68.pkl | external_data/ground_truth_data/ground_truth_data_68.pkl | external_data/context/context_68.pkl | external_data/constraint/constraint_68.pkl |
69 | electricity_prediction-max_load | I have historical Temperature, Relative Humidity, Wind Speed data and the corresponding load_power data for the past 117 minutes. I need to ensure that the maximum allowable system load does not exceed 1.0689227278350713 MW. Think about how Temperature, Relative Humidity, Wind Speed influence load_power. Please give me... | I have historical Temperature, Relative Humidity, Wind Speed data and the corresponding load_power data for the past 117 minutes. I need to ensure that the maximum allowable system load does not exceed 1.0689227278350713 MW. The historical Temperature data for the past 117 minutes is: [24.58, 24.6, 24.62, 24.64, 24.66,... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_69.pkl | external_data/ground_truth_data/ground_truth_data_69.pkl | external_data/context/context_69.pkl | external_data/constraint/constraint_69.pkl |
70 | electricity_prediction-max_load | I have historical DNI, Temperature, Solar Zenith Angle, Dew Point, Relative Humidity data and the corresponding solar_power data for the past 54 minutes. I need to ensure that the maximum allowable system load does not exceed 0.5185866378517691 MW. Think about how DNI, Temperature, Solar Zenith Angle, Dew Point, Relati... | I have historical DNI, Temperature, Solar Zenith Angle, Dew Point, Relative Humidity data and the corresponding solar_power data for the past 54 minutes. I need to ensure that the maximum allowable system load does not exceed 0.5185866378517691 MW. The historical DNI data for the past 54 minutes is: [586.4, 589.8, 593.... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_70.pkl | external_data/ground_truth_data/ground_truth_data_70.pkl | external_data/context/context_70.pkl | external_data/constraint/constraint_70.pkl |
71 | electricity_prediction-max_load | I have historical Wind Speed, Relative Humidity data and the corresponding wind_power data for the past 119 minutes. I need to ensure that the maximum allowable system load does not exceed 0.008634459597211808 MW. Think about how Wind Speed, Relative Humidity influence wind_power. Please give me a forecast for the next... | I have historical Wind Speed, Relative Humidity data and the corresponding wind_power data for the past 119 minutes. I need to ensure that the maximum allowable system load does not exceed 0.008634459597211808 MW. The historical Wind Speed data for the past 119 minutes is: [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, ... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_71.pkl | external_data/ground_truth_data/ground_truth_data_71.pkl | external_data/context/context_71.pkl | external_data/constraint/constraint_71.pkl |
72 | electricity_prediction-max_load | I have historical DHI, GHI, Dew Point, Temperature, DNI data and the corresponding solar_power data for the past 145 minutes. I need to ensure that the maximum allowable system load does not exceed 0.4242252726724446 MW. Think about how DHI, GHI, Dew Point, Temperature, DNI influence solar_power. Please give me a forec... | I have historical DHI, GHI, Dew Point, Temperature, DNI data and the corresponding solar_power data for the past 145 minutes. I need to ensure that the maximum allowable system load does not exceed 0.4242252726724446 MW. The historical DHI data for the past 145 minutes is: [12.0, 17.6, 23.2, 28.8, 34.4, 40.0, 36.6, 33.... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_72.pkl | external_data/ground_truth_data/ground_truth_data_72.pkl | external_data/context/context_72.pkl | external_data/constraint/constraint_72.pkl |
73 | electricity_prediction-max_load | I have historical Relative Humidity, Wind Speed data and the corresponding wind_power data for the past 179 minutes. I need to ensure that the maximum allowable system load does not exceed 0.022258379478569908 MW. Think about how Relative Humidity, Wind Speed influence wind_power. Please give me a forecast for the next... | I have historical Relative Humidity, Wind Speed data and the corresponding wind_power data for the past 179 minutes. I need to ensure that the maximum allowable system load does not exceed 0.022258379478569908 MW. The historical Relative Humidity data for the past 179 minutes is: [52.74, 52.74, 52.74, 52.74, 52.74, 52.... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_73.pkl | external_data/ground_truth_data/ground_truth_data_73.pkl | external_data/context/context_73.pkl | external_data/constraint/constraint_73.pkl |
74 | electricity_prediction-max_load | I have historical Solar Zenith Angle, Temperature, DHI, DNI, Relative Humidity data and the corresponding solar_power data for the past 113 minutes. I need to ensure that the maximum allowable system load does not exceed 0.5687688990012139 MW. Think about how Solar Zenith Angle, Temperature, DHI, DNI, Relative Humidity... | I have historical Solar Zenith Angle, Temperature, DHI, DNI, Relative Humidity data and the corresponding solar_power data for the past 113 minutes. I need to ensure that the maximum allowable system load does not exceed 0.5687688990012139 MW. The historical Solar Zenith Angle data for the past 113 minutes is: [91.05, ... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_74.pkl | external_data/ground_truth_data/ground_truth_data_74.pkl | external_data/context/context_74.pkl | external_data/constraint/constraint_74.pkl |
75 | electricity_prediction-max_load | I have historical Temperature, Solar Zenith Angle, Dew Point data and the corresponding load_power data for the past 167 minutes. I need to ensure that the maximum allowable system load does not exceed 1.0900825368469065 MW. Think about how Temperature, Solar Zenith Angle, Dew Point influence load_power. Please give me... | I have historical Temperature, Solar Zenith Angle, Dew Point data and the corresponding load_power data for the past 167 minutes. I need to ensure that the maximum allowable system load does not exceed 1.0900825368469065 MW. The historical Temperature data for the past 167 minutes is: [-4.3, -4.3, -4.3, -4.3, -4.3, -4.... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_75.pkl | external_data/ground_truth_data/ground_truth_data_75.pkl | external_data/context/context_75.pkl | external_data/constraint/constraint_75.pkl |
76 | electricity_prediction-max_load | I have historical Solar Zenith Angle, DNI, Relative Humidity, Dew Point, DHI data and the corresponding solar_power data for the past 79 minutes. I need to ensure that the maximum allowable system load does not exceed 0.7133530404420658 MW. Think about how Solar Zenith Angle, DNI, Relative Humidity, Dew Point, DHI infl... | I have historical Solar Zenith Angle, DNI, Relative Humidity, Dew Point, DHI data and the corresponding solar_power data for the past 79 minutes. I need to ensure that the maximum allowable system load does not exceed 0.7133530404420658 MW. The historical Solar Zenith Angle data for the past 79 minutes is: [14.6, 14.59... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_76.pkl | external_data/ground_truth_data/ground_truth_data_76.pkl | external_data/context/context_76.pkl | external_data/constraint/constraint_76.pkl |
77 | electricity_prediction-max_load | I have historical Wind Speed, Temperature data and the corresponding wind_power data for the past 169 minutes. I need to ensure that the maximum allowable system load does not exceed 0.4580154876951332 MW. Think about how Wind Speed, Temperature influence wind_power. Please give me a forecast for the next 65 minutes fo... | I have historical Wind Speed, Temperature data and the corresponding wind_power data for the past 169 minutes. I need to ensure that the maximum allowable system load does not exceed 0.4580154876951332 MW. The historical Wind Speed data for the past 169 minutes is: [4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_77.pkl | external_data/ground_truth_data/ground_truth_data_77.pkl | external_data/context/context_77.pkl | external_data/constraint/constraint_77.pkl |
78 | electricity_prediction-max_load | I have historical Temperature, Wind Speed, Solar Zenith Angle data and the corresponding load_power data for the past 121 minutes. I need to ensure that the maximum allowable system load does not exceed 1.102318138057357 MW. Think about how Temperature, Wind Speed, Solar Zenith Angle influence load_power. Please give m... | I have historical Temperature, Wind Speed, Solar Zenith Angle data and the corresponding load_power data for the past 121 minutes. I need to ensure that the maximum allowable system load does not exceed 1.102318138057357 MW. The historical Temperature data for the past 121 minutes is: [28.0, 28.0, 28.0, 28.0, 28.0, 28.... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_78.pkl | external_data/ground_truth_data/ground_truth_data_78.pkl | external_data/context/context_78.pkl | external_data/constraint/constraint_78.pkl |
79 | electricity_prediction-max_load | I have historical Solar Zenith Angle, Dew Point, Relative Humidity data and the corresponding load_power data for the past 127 minutes. I need to ensure that the maximum allowable system load does not exceed 1.2445746664275639 MW. Think about how Solar Zenith Angle, Dew Point, Relative Humidity influence load_power. Pl... | I have historical Solar Zenith Angle, Dew Point, Relative Humidity data and the corresponding load_power data for the past 127 minutes. I need to ensure that the maximum allowable system load does not exceed 1.2445746664275639 MW. The historical Solar Zenith Angle data for the past 127 minutes is: [59.58, 59.77, 59.96,... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_79.pkl | external_data/ground_truth_data/ground_truth_data_79.pkl | external_data/context/context_79.pkl | external_data/constraint/constraint_79.pkl |
80 | electricity_prediction-max_load | I have historical Relative Humidity, Dew Point, Wind Speed data and the corresponding load_power data for the past 65 minutes. I need to ensure that the maximum allowable system load does not exceed 0.8639996457099858 MW. Think about how Relative Humidity, Dew Point, Wind Speed influence load_power. Please give me a fo... | I have historical Relative Humidity, Dew Point, Wind Speed data and the corresponding load_power data for the past 65 minutes. I need to ensure that the maximum allowable system load does not exceed 0.8639996457099858 MW. The historical Relative Humidity data for the past 65 minutes is: [52.33, 52.25, 52.18, 52.1, 52.0... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_80.pkl | external_data/ground_truth_data/ground_truth_data_80.pkl | external_data/context/context_80.pkl | external_data/constraint/constraint_80.pkl |
81 | electricity_prediction-max_load | I have historical Relative Humidity, Temperature data and the corresponding wind_power data for the past 130 minutes. I need to ensure that the maximum allowable system load does not exceed 0.17668810827422057 MW. Think about how Relative Humidity, Temperature influence wind_power. Please give me a forecast for the nex... | I have historical Relative Humidity, Temperature data and the corresponding wind_power data for the past 130 minutes. I need to ensure that the maximum allowable system load does not exceed 0.17668810827422057 MW. The historical Relative Humidity data for the past 130 minutes is: [89.0, 88.98, 88.98, 88.98, 88.98, 88.9... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_81.pkl | external_data/ground_truth_data/ground_truth_data_81.pkl | external_data/context/context_81.pkl | external_data/constraint/constraint_81.pkl |
82 | electricity_prediction-max_load | I have historical Wind Speed, Temperature, Dew Point data and the corresponding load_power data for the past 77 minutes. I need to ensure that the maximum allowable system load does not exceed 0.9668428204146625 MW. Think about how Wind Speed, Temperature, Dew Point influence load_power. Please give me a forecast for t... | I have historical Wind Speed, Temperature, Dew Point data and the corresponding load_power data for the past 77 minutes. I need to ensure that the maximum allowable system load does not exceed 0.9668428204146625 MW. The historical Wind Speed data for the past 77 minutes is: [1.5, 1.5, 1.48, 1.46, 1.44, 1.42, 1.4, 1.4, ... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_82.pkl | external_data/ground_truth_data/ground_truth_data_82.pkl | external_data/context/context_82.pkl | external_data/constraint/constraint_82.pkl |
83 | electricity_prediction-max_load | I have historical Relative Humidity, Wind Speed data and the corresponding wind_power data for the past 122 minutes. I need to ensure that the maximum allowable system load does not exceed 0.01769179202758064 MW. Think about how Relative Humidity, Wind Speed influence wind_power. Please give me a forecast for the next ... | I have historical Relative Humidity, Wind Speed data and the corresponding wind_power data for the past 122 minutes. I need to ensure that the maximum allowable system load does not exceed 0.01769179202758064 MW. The historical Relative Humidity data for the past 122 minutes is: [87.24, 87.36, 87.49, 87.61, 87.74, 87.7... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_83.pkl | external_data/ground_truth_data/ground_truth_data_83.pkl | external_data/context/context_83.pkl | external_data/constraint/constraint_83.pkl |
84 | electricity_prediction-max_load | I have historical GHI, Solar Zenith Angle, DNI, Relative Humidity, Dew Point data and the corresponding solar_power data for the past 87 minutes. I need to ensure that the maximum allowable system load does not exceed 0.3089986776111122 MW. Think about how GHI, Solar Zenith Angle, DNI, Relative Humidity, Dew Point infl... | I have historical GHI, Solar Zenith Angle, DNI, Relative Humidity, Dew Point data and the corresponding solar_power data for the past 87 minutes. I need to ensure that the maximum allowable system load does not exceed 0.3089986776111122 MW. The historical GHI data for the past 87 minutes is: [383.0, 381.0, 379.0, 377.0... | Answer:
prediction = np.array([...],dtype=np.float64)
prediction.shape = (future length) | external_data/executor_variables/executor_variables_84.pkl | external_data/ground_truth_data/ground_truth_data_84.pkl | external_data/context/context_84.pkl | external_data/constraint/constraint_84.pkl |
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