Update frontend/src/pages/LeaderboardPage/components/Leaderboard/constants/tooltips.js
Browse files
frontend/src/pages/LeaderboardPage/components/Leaderboard/constants/tooltips.js
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@@ -45,7 +45,7 @@ export const COLUMN_TOOLTIPS = {
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label: "Purpose",
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description:
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"Tests model's ability to understand real-world financial article headlines",
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subItems: ["Language Understanding", "Classification"],
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},
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{
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label: "Scoring: ACC Norm",
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@@ -58,7 +58,7 @@ export const COLUMN_TOOLTIPS = {
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label: "Purpose",
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description:
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"Tests model's ability to understand real-world financial exam questions",
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subItems: ["Language Understanding", "
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},
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{
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label: "Scoring: ACC Norm",
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@@ -71,7 +71,33 @@ export const COLUMN_TOOLTIPS = {
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label: "Purpose",
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description:
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"Tests model's ability to summarize real-world financial annual reports",
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subItems: ["Language Understanding", "Summarization"],
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},
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{
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label: "Scoring: Rouge1",
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label: "Purpose",
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description:
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"Tests model's ability to understand real-world financial article headlines",
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subItems: ["Language Understanding", "Topic Classification"],
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},
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{
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label: "Scoring: ACC Norm",
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label: "Purpose",
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description:
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"Tests model's ability to understand real-world financial exam questions",
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subItems: ["Language Understanding", "Question Answering"],
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},
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{
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label: "Scoring: ACC Norm",
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label: "Purpose",
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description:
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"Tests model's ability to summarize real-world financial annual reports",
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subItems: ["Language Understanding", "Abstractive Summarization"],
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},
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{
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label: "Scoring: Rouge1",
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description: "Was the overlap of unigrams (each word) between the predicted and reference summaries.",
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},
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]),
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FinNum: createTooltipContent("Multilingual Financial NLP (FinNum):", [
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{
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label: "Purpose",
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description:
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"Tests model's ability to recognize real-world financial numbers",
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subItems: ["Language Understanding", "Named Entity Recognition"],
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},
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{
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label: "Scoring: Rouge1",
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description: "Was the overlap of unigrams (each word) between the predicted and reference summaries.",
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},
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]),
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FinText: createTooltipContent("Multilingual Financial NLP (FinText):", [
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{
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label: "Purpose",
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description:
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"Tests model's ability to recognize real-world financial entities",
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subItems: ["Language Understanding", "Named Entity Recognition"],
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},
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{
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label: "Scoring: Rouge1",
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