Federal Open Market Committee (FOMC) Corpus¶
Transcripts of recurring meetings of the Federal Reserve’s Open Market Committee (FOMC), where important aspects of U.S. monetary policy are decided, covering the period 1977-2008. (108,504 conversational exchanges between 364 speakers of FOMC board members in 268 meetings).
Distributed together with: Talk it up or play it down? (Un)expected correlations between (de-)emphasis and recurrence of discussion points in consequential U.S. economic policy meetings. Chenhao Tan and Lillian Lee. Presented in Text As Data 2016.
Please cite this paper when using FOMC corpus in your research.
Dataset details¶
Speaker-level information¶
- Speakers in this dataset are FOMC members, indexed by their name as recorded in the transcripts.
id: name of the speaker
chair: (boolean) is speaker FOMC Chair
vice_chair: (boolean) is speaker FOMC Vice-Chair
Utterance-level information¶
- For each utterance, we provide:
id: index of the utterance (concatenating the meeting date with the utterance’s sequence position)
speaker: the speaker who authored the utterance
conversation_id: ID of meeting
reply_to: id of the sequentially prior utterance (None for the first utterance of a meeting)
text: textual content of the utterance
timestamp: calculated value based off the date of the meeting and the speech index
- Metadata for utterances include:
speech_index: index of utterance in the context of the conversation
parsed: parsed version of the utterance text, represented as a SpaCy Doc
Conversational-level information¶
Conversations are indexed by a string representing the meeting date.
Usage¶
To download directly with ConvoKit:
>>> from convokit import Corpus, download
>>> corpus = Corpus(filename=download("fomc-corpus"))
For some quick stats:
>>> corpus.print_summary_stats()
Number of Speakers: 364
Number of Utterances: 108504
Number of Conversations: 268
Additionally, if you want to process the original FOMC data into ConvoKit format you can use the following script Converting FOMC Corpus to ConvoKit Format
Additional note¶
The original dataset can be downloaded here. Refer to the original README for more explanations on dataset construction.
Contact¶
Please email any questions to: cristian@cs.cornell.edu (Cristian Danescu-Niculescu-Mizil).