  Commodity News contains a wealth of information such as sum-mary of the
recent commodity price movement and notable events that led tothe movement.
Through event extraction, useful information extracted fromcommodity news is
extremely useful in mining for causal relation betweenevents and commodity
price movement, which can be used for commodity priceprediction. To facilitate
the future research, we introduce a new dataset withthe following information
identified and annotated: (i) entities (both nomi-nal and named), (ii) events
(trigger words and argument roles), (iii) eventmetadata: modality, polarity and
intensity and (iv) event-event relations.
