FinNum - Data


Test set: FinNum_test.json

Training set: FinNum_training.json

Development set: FinNum_dev.json

ReadMe of rebuild dataset: How to rebuild FinNum dataset.pdf

Code for rebuild dataset:

Please cite the following paper when referring to the FinNum dataset in academic publications and papers.

Chung-Chi Chen, Hen-Hsen Huang, Yow-Ting Shiue, and Hsin-Hsi Chen. 2018. Numeral Understanding in Financial Tweets for Fine-grained Crowd-based Forecasting. To appear in Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018), Santiago, Chile. pdf

Data Format

In provided dataset, participants will get "idx" (the index of the tweet), "id" (the id of the tweet), "target_num" (the target numeral), "category" (annotated result), "subcategory" (annotated result), and should rebuild the data via Stocktwits API. Note that, three categories (Indicator, Quantity, and Product/ Version number) do not have subcategory. Thus, the category and subcategory information are the same for these three categories.



'idx': 7791,

'id': 100382304,

'target_num': ['10'],

'category': ['Monetary'],

'subcategory': ['forecast'],

'tweet': '$FLKS Cantor Fitzgerald reiterates Hold rating, $10 PT => #FlexPharma #Biotechnology #BioTech #Bullish #Stock #FLKS'



'idx': 5720,

'id': 102960935,

'target_num': ['28', '2017'],

'category': ['Temporal', 'Temporal'],

'subcategory': ['date', 'date'],

'tweet': '$BTL BTL - Upward momentum Long from $8.70 or $8.05 . \n* Trade Criteria * \nDate First Found- November 28, 2017\nPattern/'



The annotated dataset is licensed under the Creative Commons Attribution-Non-Commercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.