2b:null 2c:["$","title",null,{"children":"Fierce competition in the LMsys Chatbot Arena | LLMs | Observable"}] 31:T4fc,function labels(svg) { let label = svg.append("g") .style("font", "bold 12px var(--sans-serif)") .style("font-variant-numeric", "tabular-nums") .attr("text-anchor", "end") .selectAll("text"); return ([date, data], transition) => label = label .data(data.slice(0, n), d => d.name) .join( enter => enter.append("text") .attr("transform", d => `translate(${x((prev.get(d) || d).value)},${y((prev.get(d) || d).rank)})`) .attr("y", y.bandwidth() / 2) .attr("x", -10) .attr("dy", "-0.25em") .text(d => d.name) .call(text => text.append("tspan") .attr("fill-opacity", 0.7) .attr("font-weight", "normal") .attr("x", -10) .attr("dy", "1.15em")), update => update, exit => exit.transition(transition).remove() .attr("transform", d => `translate(${x((next.get(d) || d).value)},${y((next.get(d) || d).rank)})`) .call(g => g.select("tspan").tween("text", d => textTween(d.value, (next.get(d) || d).value))) ) .call(bar => bar.transition(transition) .attr("transform", d => `translate(${x(d.value)},${y(d.rank)})`) .call(g => g.select("tspan").tween("text", d => textTween((prev.get(d) || d).value, d.value)))); }32:T993,SELECT strptime(Date,'%Y%m%d')::DATE as date , model as name, CASE list_extract(split(model, '-'), 1) WHEN 'chatgpt' THEN 'OpenAI' WHEN 'gpt' THEN 'OpenAI' WHEN 'o1' THEN 'OpenAI' WHEN 'o3' THEN 'OpenAI' WHEN 'grok' THEN 'xAI' WHEN 'early' THEN 'xAI' WHEN 'bard' THEN 'Google' WHEN 'llama2' THEN 'Meta' WHEN 'llama' THEN 'Meta' WHEN 'gemini' THEN 'Google' WHEN 'gemma' THEN 'Google' WHEN 'claude' THEN 'Anthropic' WHEN 'mistral' THEN 'Mistral' WHEN 'ministral' THEN 'Mistral' WHEN 'mixtral' THEN 'Mistral' WHEN 'qwen' THEN 'Alibaba' WHEN 'qwen2.5' THEN 'Alibaba' WHEN 'qwen2' THEN 'Alibaba' WHEN 'qwen1.5' THEN 'Alibaba' WHEN 'deepseek' THEN 'DeepSeek' WHEN 'hunyuan' THEN 'Tencent' WHEN 'yi' THEN '01 AI' WHEN 'command' THEN 'Cohere' WHEN 'amazon' THEN 'Amazon' WHEN 'phi' THEN 'Microsoft' WHEN 'kimi' THEN 'Moonshot' ELSE list_extract(split(model, '-'), 1) END as company, CASE company WHEN 'Google' THEN ${await FileAttachment("Google.png").url()} WHEN 'OpenAI' THEN ${await FileAttachment("OpenAI-black-wordmark@1.png").url()} WHEN 'xAI' THEN ${await FileAttachment("xAI_Logomark_Block_Light@1.png").url()} WHEN 'DeepSeek' THEN ${await FileAttachment("deepseek.png").url()} WHEN 'Meta' THEN ${await FileAttachment("Meta_lockup_positive primary_RGB@2.png").url()} WHEN 'Alibaba' THEN ${await FileAttachment("Alibaba.png").url()} WHEN 'Mistral' THEN ${await FileAttachment("Mistral@1.png").url()} WHEN 'Amazon' THEN ${await FileAttachment("Amazon.png").url()} WHEN 'Microsoft' THEN ${await FileAttachment("Microsoft.png").url()} WHEN 'Cohere' THEN ${await FileAttachment("Cohere-Logo-Color-RGB@1.png").url()} WHEN 'Anthropic' THEN ${await FileAttachment("Anthropic wordmark - Slate@1.png").url()} WHEN 'Tencent' THEN ${await FileAttachment("01_Tencent_Standard-Logo@1.png").url()} WHEN '01 AI' THEN ${await FileAttachment("o1ai.png").url()} WHEN 'Moonshot' THEN ${await FileAttachment("moonshotai@1.png").url()} END as image, ELO-1000 as value, ROW_NUMBER() OVER(PARTITION BY date ORDER BY elo DESC) as rank FROM "appended_data (8)@1.csv" WHERE company IN ('OpenAI','Google','xAI','Meta','DeepSeek','Alibaba','Anthropic','Tencent','01 AI','Cohere','Mistral','Amazon','Microsoft','Moonshot') AND strptime(Date,'%Y%m%d')::DATE > DATE '2024-01-01' ORDER BY date ASC33:T9bb,SELECT strptime(Date,'%Y%m%d')::DATE as date , CASE list_extract(split(model, '-'), 1) WHEN 'chatgpt' THEN 'OpenAI' WHEN 'gpt' THEN 'OpenAI' WHEN 'o1' THEN 'OpenAI' WHEN 'o3' THEN 'OpenAI' WHEN 'grok' THEN 'xAI' WHEN 'early' THEN 'xAI' WHEN 'bard' THEN 'Google' WHEN 'llama2' THEN 'Meta' WHEN 'llama' THEN 'Meta' WHEN 'gemini' THEN 'Google' WHEN 'gemma' THEN 'Google' WHEN 'claude' THEN 'Anthropic' WHEN 'mistral' THEN 'Mistral' WHEN 'ministral' THEN 'Mistral' WHEN 'mixtral' THEN 'Mistral' WHEN 'qwen' THEN 'Alibaba' WHEN 'qwen2.5' THEN 'Alibaba' WHEN 'qwen2' THEN 'Alibaba' WHEN 'qwen1.5' THEN 'Alibaba' WHEN 'deepseek' THEN 'DeepSeek' WHEN 'hunyuan' THEN 'Tencent' WHEN 'yi' THEN '01 AI' WHEN 'command' THEN 'Cohere' WHEN 'amazon' THEN 'Amazon' WHEN 'phi' THEN 'Microsoft' WHEN 'kimi' THEN 'Moonshot' ELSE list_extract(split(model, '-'), 1) END as company, CASE company WHEN 'Google' THEN ${await FileAttachment("Google.png").url()} WHEN 'OpenAI' THEN ${await FileAttachment("OpenAI-black-wordmark@1.png").url()} WHEN 'xAI' THEN ${await FileAttachment("xAI_Logomark_Block_Light@1.png").url()} WHEN 'DeepSeek' THEN ${await FileAttachment("deepseek.png").url()} WHEN 'Meta' THEN ${await FileAttachment("Meta_lockup_positive primary_RGB@2.png").url()} WHEN 'Alibaba' THEN ${await FileAttachment("Alibaba.png").url()} WHEN 'Mistral' THEN ${await FileAttachment("Mistral@1.png").url()} WHEN 'Amazon' THEN ${await FileAttachment("Amazon.png").url()} WHEN 'Microsoft' THEN ${await FileAttachment("Microsoft.png").url()} WHEN 'Cohere' THEN ${await FileAttachment("Cohere-Logo-Color-RGB@1.png").url()} WHEN 'Anthropic' THEN ${await FileAttachment("Anthropic wordmark - Slate@1.png").url()} WHEN 'Tencent' THEN ${await FileAttachment("01_Tencent_Standard-Logo@1.png").url()} WHEN '01 AI' THEN ${await FileAttachment("o1ai.png").url()} WHEN 'Moonshot' THEN ${await FileAttachment("moonshotai@1.png").url()} END as image, MAX(ELO) as value, ARG_MAX(model,ELO) as name, ROW_NUMBER() OVER(PARTITION BY date ORDER BY value DESC) as rank FROM "appended_data (8)@1.csv" WHERE company IN ('OpenAI','Google','xAI','Meta','DeepSeek','Alibaba','Anthropic','Tencent','01 AI','Cohere','Mistral','Amazon','Microsoft','Moonshot') AND strptime(Date,'%Y%m%d')::DATE > DATE '2024-01-01' GROUP BY date, company ORDER BY date 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Tiran","avatar_url":"https://avatars-next.observableusercontent.com/d9dcc253effa99894cc1f98ba875f02b20f0fcb50eb8a9ead253ac469fd1c9f6","tier":null}],"members":[{"type":"team","id":"da5ae43b9a3cd53d","login":"llms","name":"LLMs","avatar_url":"https://avatars-next.observableusercontent.com/6d8c8c72b7186a53bdbc82df3a042ca3bb1ba7196b7dd8d9240ea744aef057da","tier":"starter_2024","role":"editor"},{"type":"individual","id":"b1a105d58de87cb6","login":"maxime-tiran","name":"Maxime Tiran","avatar_url":"https://avatars-next.observableusercontent.com/d9dcc253effa99894cc1f98ba875f02b20f0fcb50eb8a9ead253ac469fd1c9f6","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":true,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"Fierce competition in the LMsys Chatbot Arena","cells":[{"id":239,"value":"md`# Fierce competition in the LMsys Chatbot Arena \n\nThis chart animates the ELO score of the top ${n} AI companies/LLMs from Jan 2024. \n

Based on [@mbostock](https://observablehq.com/@d3/bar-chart-race)'s notebook (Bar Chart Race) / Inspired by [@jashkenas](https://observablehq.com/@jashkenas/iowa-caucuses-the-bar-chart-race)'s fork (Logos displayed on the chart).`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3147,"value":"---","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":982,"value":"viewof replay = html`