陈俊杰
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Parent(s):
342f2c9
insert html
Browse files
app.py
CHANGED
@@ -153,7 +153,7 @@ elif page == "Methodology":
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<li>Third, we manually annotate the answer sets for each question, which will be used as gold standards for evaluating the performance of different evaluation methods.</li>
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<li>Last, we will collect evaluation results from participants and calculate consistency with manually annotated results. We will use Accuracy, Kendall’s tau and Spearman correlation coefficient as the evaluation metrics.</li>
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</ol>
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""")
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elif page == "Datasets":
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st.header("Datasets")
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@@ -166,7 +166,7 @@ elif page == "Datasets":
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<li><strong>Dialogue Generation (DG): <a href="https://huggingface.co/datasets/daily_dialog">DailyDialog</a></strong>: A high-quality dataset of 13k multi-turn dialogues. The language is human-written and less noisy.</li>
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</ul>
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<p>For your convenience, we have released <strong>the training set</strong> (with human-annotated results) and <strong>the test set</strong> (without human-annotated results) on <a href="https://huggingface.co/datasets/THUIR/AEOLLM">https://huggingface.co/datasets/THUIR/AEOLLM</a>, which you can easily download.</p>
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""")
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elif page == "Important Dates":
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st.header("Important Dates")
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@@ -180,7 +180,7 @@ elif page == "Important Dates":
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<span class="event"><strong>Submission Due of Participant Papers (draft)</strong>:</span> <span class="date">March 1, 2025</span><br />
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<span class="event"><strong>Camera-Ready Participant Paper Due</strong>:</span> <span class="date">May 1, 2025</span><br />
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<span class="event"><strong>NTCIR-18 Conference</strong>:</span> <span class="date">Jun 10-13 2025</span><br /></p>
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""")
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elif page == "Evaluation Measures":
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st.header("Evaluation Measures")
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st.markdown("""
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@@ -188,7 +188,7 @@ elif page == "Evaluation Measures":
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- **Kendall's tau:** Measures the ordinal association between two ranked variables.
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$$
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-
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$$
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where:
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@@ -197,12 +197,12 @@ elif page == "Evaluation Measures":
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- n is the number of pairs.
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- **Spearman's Rank Correlation Coefficient:** Measures the strength and direction of the association between two ranked variables.
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$$
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-
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$$
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where:
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- $d_i$ is the difference between the ranks of corresponding elements in the two lists,
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- $n$ is the number of elements.
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-
""")
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elif page == "Data and File format":
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st.header("Data and File format")
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st.markdown("""
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@@ -215,7 +215,7 @@ elif page == "Data and File format":
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<li>the fourth column is score (index the score to the answer given by participants)</li>
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<li>the fifth column is rank (index the rank of the answer within all answers to the same question)</li>
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</ol>
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""")
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elif page == "Submit":
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st.header("Submit")
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st.markdown("""
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@@ -301,7 +301,7 @@ elif page == "Organisers":
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<em>Qingyao Ai</em> [aiqy@tsinghua.edu.cn] (Tsinghua University)<br />
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<em>Junjie Chen</em> [chenjj826@gmail.com] (Tsinghua University) <br />
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<em>Zhumin Chu</em> [chuzm19@mails.tsinghua.edu.cn] (Tsinghua University)<br />
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<em>Haitao Li</em> [liht22@mails.tsinghua.edu.cn] (Tsinghua University)""")
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elif page == "References":
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st.header("References")
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st.markdown("""TAB""")
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<li>Third, we manually annotate the answer sets for each question, which will be used as gold standards for evaluating the performance of different evaluation methods.</li>
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<li>Last, we will collect evaluation results from participants and calculate consistency with manually annotated results. We will use Accuracy, Kendall’s tau and Spearman correlation coefficient as the evaluation metrics.</li>
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</ol>
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+
""",unsafe_allow_html=True)
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elif page == "Datasets":
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st.header("Datasets")
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<li><strong>Dialogue Generation (DG): <a href="https://huggingface.co/datasets/daily_dialog">DailyDialog</a></strong>: A high-quality dataset of 13k multi-turn dialogues. The language is human-written and less noisy.</li>
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</ul>
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<p>For your convenience, we have released <strong>the training set</strong> (with human-annotated results) and <strong>the test set</strong> (without human-annotated results) on <a href="https://huggingface.co/datasets/THUIR/AEOLLM">https://huggingface.co/datasets/THUIR/AEOLLM</a>, which you can easily download.</p>
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+
""",unsafe_allow_html=True)
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elif page == "Important Dates":
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st.header("Important Dates")
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<span class="event"><strong>Submission Due of Participant Papers (draft)</strong>:</span> <span class="date">March 1, 2025</span><br />
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<span class="event"><strong>Camera-Ready Participant Paper Due</strong>:</span> <span class="date">May 1, 2025</span><br />
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<span class="event"><strong>NTCIR-18 Conference</strong>:</span> <span class="date">Jun 10-13 2025</span><br /></p>
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+
""",unsafe_allow_html=True)
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elif page == "Evaluation Measures":
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st.header("Evaluation Measures")
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st.markdown("""
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- **Kendall's tau:** Measures the ordinal association between two ranked variables.
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$$
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+
\\tau=\\frac{C-D}{\\frac{1}{2}n(n-1)}
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$$
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where:
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- n is the number of pairs.
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- **Spearman's Rank Correlation Coefficient:** Measures the strength and direction of the association between two ranked variables.
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$$
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+
\\rho = 1 - \\frac{6 \sum d_i^2}{n(n^2 - 1)}
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$$
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where:
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- $d_i$ is the difference between the ranks of corresponding elements in the two lists,
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- $n$ is the number of elements.
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+
""",unsafe_allow_html=True)
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elif page == "Data and File format":
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st.header("Data and File format")
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st.markdown("""
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<li>the fourth column is score (index the score to the answer given by participants)</li>
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216 |
<li>the fifth column is rank (index the rank of the answer within all answers to the same question)</li>
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</ol>
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+
""",unsafe_allow_html=True)
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elif page == "Submit":
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st.header("Submit")
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st.markdown("""
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<em>Qingyao Ai</em> [aiqy@tsinghua.edu.cn] (Tsinghua University)<br />
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<em>Junjie Chen</em> [chenjj826@gmail.com] (Tsinghua University) <br />
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<em>Zhumin Chu</em> [chuzm19@mails.tsinghua.edu.cn] (Tsinghua University)<br />
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+
<em>Haitao Li</em> [liht22@mails.tsinghua.edu.cn] (Tsinghua University)""",unsafe_allow_html=True)
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elif page == "References":
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st.header("References")
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st.markdown("""TAB""")
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