{"url":"/dataset/chatgpt-gnn-dataset","name":"ChatGPT-GNN Dataset","full_name":"ChatGPT-GNN Stock Sentiment Dataset","description_markdown":"The data can be found in the Data folder, which contains two files:\r\n\r\n- `ticker_train_data.json`: This file holds the data utilized for training and validation of our model.\r\n- `ticker_test_data.json`: This file contains the data used for model evaluation.\r\n\r\nTo load the data, you can start with 4 lines of code:\r\n```\r\nimport pandas as pd\r\nimport json\r\ntrain_data = pd.read_json('./Data/ticker_train_data.json')\r\ntest_data = pd.read_json('./Data/ticker_test_data.json')\r\n```\r\n\r\nThe Affected Companies column provides two key insights:\r\n- Companies that ChatGPT predicts will be influenced by the financial news.\r\n- The sentiment indicating the nature of the impact on these companies (e.g., positive or negative).","description_withheld":null,"homepage":"https://github.com/ZihanChen1995/ChatGPT-GNN-StockPredict","introduced_date":"2023-05-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/chatgpt-informed-graph-neural-network-for","title":"ChatGPT Informed Graph Neural Network for Stock Movement Prediction","first_author":"Zihan Chen","url":null},"license":{"name":"MIT","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["ChatGPT-GNN Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}