From 7141b21017528f31418e9e1ad3f29d1e67a84c9d Mon Sep 17 00:00:00 2001 From: veronikasamborska1994 <32176660+veronikasamborska1994@users.noreply.github.com> Date: Tue, 7 Nov 2023 14:13:58 +0100 Subject: [PATCH] update citation in Epoch AI dataset (#1914) --- .../artificial_intelligence/latest/epoch.csv.dvc | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/snapshots/artificial_intelligence/latest/epoch.csv.dvc b/snapshots/artificial_intelligence/latest/epoch.csv.dvc index 850b9a9cbc7..f6e924e6b21 100644 --- a/snapshots/artificial_intelligence/latest/epoch.csv.dvc +++ b/snapshots/artificial_intelligence/latest/epoch.csv.dvc @@ -4,7 +4,7 @@ meta: origin: # Data product / Snapshot title: Parameter, Compute and Data Trends in Machine Learning - date_published: 2023-10-26 + date_published: 2023-11-07 description_snapshot: | We update this chart with the latest available data from our source every month. @@ -22,9 +22,9 @@ meta: The authors note that: "For new models (from 2020 onward) it is harder to assess these criteria, so we fall back to a subjective selection. We refer to models meeting our selection criteria as 'milestone models. # Citation producer: Epoch - citation_full: 'Epoch, Parameter, Compute and Data Trends in Machine Learning.* - Published online at [epochai.org](https://epochai.org/mlinputs/visualization). - Retrieved from: [https://epochai.org/mlinputs/visualization](https://epochai.org/mlinputs/visualization)' + citation_full: 'Epoch, ‘Parameter, Compute and Data Trends in Machine Learning’. + Published online at epochai.org. Retrieved from: ‘https://epochai.org/mlinputs/visualization’ + [online resource]' # Files url_main: https://epochai.org/mlinputs/visualization url_download: @@ -33,9 +33,8 @@ meta: # License license: name: Public domain - wdir: ../../../data/snapshots/artificial_intelligence/latest outs: -- md5: cb687d468a635022b04e912cbbc5c05a - size: 667431 +- md5: 652ae5afc96e2fc5b986972a4bf49b19 + size: 703291 path: epoch.csv