NN POP commited on
Initial Release
Browse files- README.md +45 -3
- dataset_info.json +78 -0
- stock_metadata.csv +89 -0
- train.parquet +3 -0
README.md
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---
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license: mit
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---
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license: mit
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task_categories:
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- text-classification
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- time-series-forecasting
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tags:
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- finance
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- stock-prediction
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- twitter
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- sentiment-analysis
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- time-series
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pretty_name: StockNet Dataset (Parquet Format)
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size_categories:
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- 10K<n<100K
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---
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# StockNet Dataset (Parquet Format)
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This is a Parquet conversion of the original [StockNet Dataset](https://github.com/yumoxu/stocknet-dataset) for stock movement prediction from tweets and historical stock prices.
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## Original Work
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**Paper**: [Stock Movement Prediction from Tweets and Historical Prices](http://aclweb.org/anthology/P18-1183)
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**Authors**: Yumo Xu and Shay B. Cohen
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**Published**: ACL 2018
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**Original Repository**: https://github.com/yumoxu/stocknet-dataset
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**License**: MIT
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## Citation
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If you use this dataset, please cite the original paper:
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```bibtex
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@inproceedings{xu-cohen-2018-stock,
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title = "Stock Movement Prediction from Tweets and Historical Prices",
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author = "Xu, Yumo and Cohen, Shay B.",
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booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
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month = jul,
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year = "2018",
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address = "Melbourne, Australia",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/P18-1183",
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doi = "10.18653/v1/P18-1183",
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pages = "1970--1980",
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}
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dataset_info.json
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{
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"created_at": "2025-10-22T16:11:34.420582",
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"created_by": "nomnomshark41",
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"dataset_info": {
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"name": "StockNet Dataset",
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"description": "Stock movement prediction from tweets and historical prices",
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"source": "https://github.com/yumoxu/stocknet-dataset",
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"date_range": {
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"start": "2012-09-05",
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"end": "2017-09-01"
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},
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"stocks": {
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"total": 88,
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"found": 88,
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"missing": 0,
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"missing_list": []
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},
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"sectors": [
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"Technology",
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"Financial",
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"Basic Matierials",
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"Consumer Goods",
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"Conglomerates",
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"Industrial Goods",
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"Services",
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"Healthcare",
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"Utilities"
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]
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},
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"statistics": {
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"total_samples": 108501,
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"avg_tweets_per_day": 0.0,
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"positive_movement_ratio": 0.5182625044930461,
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"sector_distribution": {
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"Consumer Goods": 12570,
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"Utilities": 12570,
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"Financial": 12570,
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"Technology": 12570,
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"Industrial Goods": 12570,
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"Basic Matierials": 12568,
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"Healthcare": 12489,
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"Services": 12057,
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"Conglomerates": 8537
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}
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},
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"schema": {
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"features": [
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"stock_symbol",
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"company_name",
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"sector",
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"date",
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"movement_percent",
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"open",
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"high",
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"low",
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"close",
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"volume",
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"num_tweets",
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"tweets",
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"label"
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],
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"dtypes": {
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"stock_symbol": "object",
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"company_name": "object",
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"sector": "object",
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"date": "datetime64[ns]",
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"movement_percent": "float64",
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"open": "float64",
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"high": "float64",
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"low": "float64",
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"close": "float64",
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"volume": "float64",
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"num_tweets": "int64",
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"tweets": "object",
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"label": "int64"
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}
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}
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}
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stock_metadata.csv
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Sector,Symbol,Company
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Basic Matierials,XOM,Exxon Mobil Corporation
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Basic Matierials,RDS-B,Royal Dutch Shell
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Basic Matierials,PTR,PetroChina Company Limited
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Basic Matierials,CVX,Chevron Corporation
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Basic Matierials,TOT,TOTAL S.A.
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Basic Matierials,BP,BP p.l.c.
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Basic Matierials,BHP,BHP Billiton Limited
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Basic Matierials,SNP,China Petroleum & Corporation
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Basic Matierials,SLB,Schlumberger Limited
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Basic Matierials,BBL,BHP Billiton plc
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Consumer Goods,AAPL,Apple Inc.
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Consumer Goods,PG,The Procter & Gamble
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Consumer Goods,BUD,Anheuser-Busch InBev SA/NV Company
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Consumer Goods,KO,The Coca-Cola Company
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Consumer Goods,PM,Philip Morris International
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Consumer Goods,TM,Toyota Motor Corporation
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Consumer Goods,PEP,Pepsico Inc.
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Consumer Goods,UN,Unilever N.V.
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Consumer Goods,UL,Unilever PLC
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Consumer Goods,MO,Altria Group Inc.
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Healthcare,JNJ,Johnson & Johnson
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Healthcare,PFE,Pfizer Inc.
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Healthcare,NVS,Novartis AG
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Healthcare,UNH,UnitedHealth Group Incorporated
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Healthcare,MRK,Merck & Co.
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Healthcare,AMGN,Amgen Inc.
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Healthcare,MDT,Medtronic plc
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Healthcare,ABBV,AbbVie Inc.
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Healthcare,SNY,Sanofi
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Healthcare,CELG,Celgene Corporation
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Services,AMZN,Amazon.com Inc.
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Services,BABA,Alibaba Group Holding
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Services,WMT,Wal-Mart Stores Inc.
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Services,CMCSA,Comcast Corporation
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Services,HD,The Home Depot
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Services,DIS,The Walt Disney
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Services,MCD,McDonald's Corporation
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Services,CHTR,Charter Communications Inc.
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Services,UPS,United Parcel Service Inc.
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Services,PCLN,The Priceline Group
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Utilities,NEE,NextEra Energy Inc.
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Utilities,DUK,Duke Energy Corporation
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Utilities,D,Dominion Energy Inc.
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Utilities,SO,The Southern Company
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Utilities,NGG,National Grid plc
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Utilities,AEP,American Electric Power Inc.
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Utilities,PCG,PG&E Corporation
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Utilities,EXC,Exelon Corporation
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Utilities,SRE,Sempra Energy
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Utilities,PPL,PPL Corporation
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Conglomerates,IEP,Icahn Enterprises L.P.
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Conglomerates,HRG,HRG Group Inc.
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Conglomerates,CODI,Compass Diversified Holdings
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Conglomerates,REX,REX American Resources
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Conglomerates,SPLP,Steel Partners Holdings
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Conglomerates,PICO,PICO Holdings Inc.
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Conglomerates,AGFS,AgroFresh Solutions Inc.
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Conglomerates,GMRE,Global Medical REIT
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Financial,BCH,Banco de Chile
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Financial,BSAC,Banco Santander-Chile
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Financial,BRK-A,Berkshire Hathaway Inc.
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Financial,JPM,JPMorgan Chase & Co.
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Financial,WFC,Wells Fargo & Co.
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Financial,BAC,Bank of America
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Financial,V,Visa Inc.
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Financial,C,Citigroup Inc.
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Financial,HSBC,HSBC Holdings plc
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Financial,MA,Mastercard Incorporated
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Industrial Goods,GE,General Electric Company
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Industrial Goods,MMM,3M Company
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Industrial Goods,BA,The Boeing Company
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Industrial Goods,HON,Honeywell International Inc.
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Industrial Goods,UTX,United Technologies Corporation
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Industrial Goods,LMT,Lockheed Martin Corporation
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Industrial Goods,CAT,Caterpillar Inc.
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Industrial Goods,GD,General Dynamics Corporation
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Industrial Goods,DHR,Danaher Corporation
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Industrial Goods,ABB,ABB Ltd
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Technology,GOOG,Alphabet Inc.
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Technology,MSFT,Microsoft Corporation
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Technology,FB,Facebook Inc.
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Technology,T,AT&T Inc.
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Technology,CHL,China Mobile Limited
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Technology,ORCL,Oracle Corporation
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Technology,TSM,Taiwan Semiconductor Manufacturing Company Limited
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Technology,VZ,Verizon Communications Inc.
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Technology,INTC,Intel Corporation
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Technology,CSCO,Cisco Systems Inc.
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train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c090172cd4d5bdbb58f358fb3fc3eb8cacfd1430dae2b2e48e71e9a1c9b8a93
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size 5114440
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