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ModelOrganizationPublication dateTraining datasetConfidenceModel accessibilityTraining code accessibilityTraining compute estimation methodEnvironmental TransparencyYear
0Super-vector codingUniversity of Illinois Urbana-Champaign (UIUC)...1/1/10PASCAL VOC 2007,PASCAL VOC 2009SpeculativeNaNNaNNaNNaN2010
1YouTube Video Recommendation SystemGoogle9/26/10NaNNaNNaNNaNNaNNaN2010
2RNN LMJohns Hopkins University9/26/10WSJSpeculativeNaNNaNOperation countingNaN2010
3Fisher-BoostXerox Research Centre Europe (XRCE)9/5/10NaNUnknownNaNNaNNaNNaN2010
4ReLU (NORB)University of Toronto6/15/10NaNNaNNaNNaNNaNNaN2010
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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.histogram(data, x=\"Year\", color=\"Environmental Transparency\")\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 9, "id": "8582cf3e-e3b9-4442-ac59-bde783b2cfed", "metadata": {}, "outputs": [], "source": [ "data2 = pd.read_csv('data/openrouter_data.csv')\n", "data2['Environmental Transparency'] = data2['Environmental Transparency'].fillna('None')\n", "#data2 = data2.rename(columns={\"Env. Disc.\":\"Environmental Transparency\"})\n" ] }, { "cell_type": "code", "execution_count": 10, "id": "12312bbc-2769-4317-8b25-fdf0a3603d0d", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Unnamed: 0Model NameTokens (B)Environmental Transparency
00GPT-4o Mini1740.0None
11Claude 3.7 Sonnet967.0None
22Gemini 2.0 Flash961.0None
33Gemini 2.5 Pro Preview574.0None
44Gemini 2.5 Flash Preview 04-17541.0None
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" 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}, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = go.Figure(data=[go.Pie(labels=data2['Environmental Transparency'], values=data2['Environmental Transparency'])])\n", "fig.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 5 }