config update

config/dataset2maxlen.json

 {
     "passage_count": 32,
-    "passage_retrieval": 32,
     "trec": 64,
     "nq": 32,
     "triviaqa": 32,
@@ -11,7 +10,8 @@
     "qasper": 128,
     "gov_report": 512,
     "qmsum": 512,
-    "passkey_retrieval": 32,
+    "passage_retrieval_zh": 32,
+    "passage_retrieval_en": 32,
     "lsht": 64,
     "dureader": 128,
     "vcsum": 512,

config/dataset2prompt.json

 {
     "passage_count": "There are some paragraphs below sourced from Wikipedia. Some of them may be duplicates. Please carefully read these paragraphs and determine how many unique paragraphs there are after removing duplicates. In other words, how many non-repeating paragraphs are there in total?\n\n{context}\n\nPlease enter the final count of unique paragraphs after removing duplicates. The output format should only contain the number, such as 1, 2, 3, and so on.\n\nThe final answer is: ",
-    "passage_retrieval": "Here are 30 paragraphs from Wikipedia, along with an abstract. Please determine which paragraph the abstract is from.\n\n{context}\n\nThe following is an abstract.\n\n{input}\n\nPlease enter the number of the paragraph that the abstract is from. The answer format must be like \"Paragraph 1\", \"Paragraph 2\", etc.\n\nThe answer is: ",
+    "passage_retrieval_en": "Here are 30 paragraphs from Wikipedia, along with an abstract. Please determine which paragraph the abstract is from.\n\n{context}\n\nThe following is an abstract.\n\n{input}\n\nPlease enter the number of the paragraph that the abstract is from. The answer format must be like \"Paragraph 1\", \"Paragraph 2\", etc.\n\nThe answer is: ",
     "trec": "Please determine the type of the question below. Here are some examples of questions.\n\n{context}\n{input}",
     "nq": "Answer the question based on the given passage. Only give me the answer and do not output any other words. The following are some examples.\n\n{context}\n\n{input}",
     "triviaqa": "Answer the question based on the given passage. Only give me the answer and do not output any other words. The following are some examples.\n\n{context}\n\n{input}",
@@ -11,7 +11,7 @@
     "qasper": "You are given a scientific article and a question. Answer the question as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write \"unanswerable\". If the question is a yes/no question, answer \"yes\", \"no\", or \"unanswerable\". Do not provide any explanation.\n\nArticle: {context}\n\n Answer the question based on the above article as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write \"unanswerable\". If the question is a yes/no question, answer \"yes\", \"no\", or \"unanswerable\". Do not provide any explanation.\n\nQuestion: {input}\n\nAnswer:",
     "gov_report": "You are given a report by a government agency. Write a one-page summary of the report.\n\nReport:\n{context}\n\nNow, write a one-page summary of the report.\n\nSummary:",
     "qmsum": "You are given a meeting transcript and a query containing a question or instruction. Answer the query in one or more sentences.\n\nTranscript:\n{context}\n\nNow, answer the query based on the above meeting transcript in one or more sentences.\n\nQuery: {input}\nAnswer:",
-    "passkey_retrieval": "下面有一大段话，中间藏了一段密码，密码的前后有特殊的标识。以密码58926为例，对应的标识如下：\n\n***密码开始***<58926>***密码结束***\n\n下面是这段话，请帮我找出其中的密码。\n\n{context}\n\n现在，请直接给出密码，例如，45331，89765，13299和58926等等。",
+    "passage_retrieval_zh": "以下是若干段落文字，以及其中一个段落的摘要。请确定给定的摘要出自哪一段。\n\n{context}\n\n下面是一个摘要\n\n{input}\n\n请输入摘要所属段落的编号。答案格式必须是\"段落1\"，\"段落2\"等格式\n\n答案是：",
     "lsht": "请判断给定新闻的类别，下面是一些例子。\n\n{context}\n{input}",
     "dureader": "请基于给定的文章回答下述问题。\n\n文章：{context}\n\n请基于上述文章回答下面的问题。\n\n问题：{input}\n回答：",
     "vcsum": "下面有一段会议记录，请你阅读后，写一段总结，总结会议的内容。\n会议记录：\n{context}\n\n会议总结：",