Update README.md

README.md

@@ -2,29 +2,128 @@
 license: apache-2.0
 task_categories:
 - text-retrieval
+task_ids:
+- document-retrieval
 language:
 - ar
 - en
 - ru
 - zh
+multilinguality:
+- multilingual
 tags:
 - multilingual
 - RAG
 - News
+source_datasets:
+- extended|c4
+annotations_creators:
+- no-annotation
 size_categories:
 - 1M<n<10M
+pretty_name: RAGTIME1
+configs:
+- config_name: default
+  data_files:
+  - split: arb
+    path: data/fas-docs.jsonl
+  - split: rus
+    path: data/rus-docs.jsonl
+  - split: zho
+    path: data/zho-docs.jsonl
+  - split: eng
+    path: data/zho-docs.jsonl
+- config_name: mt_docs
+  data_files:
+  - split: arb.mt.eng
+    path: data/arb.trans.jsonl
+  - split: rus.mt.eng
+    path: data/rus.trans.jsonl
+  - split: zho.mt.eng
+    path: data/zho.trans.jsonl
+dataset_info:
+  splits:
+  - name: arb
+    num_bytes: 3480001855
+    num_examples: 1000095
+  - name: arb.mt.eng
+    num_bytes: 3382078786
+    num_examples: 1000095
+  - name: rus
+    num_bytes: 3196832604
+    num_examples: 1000095
+  - name: rus.mt.eng
+    num_bytes: 2640657225
+    num_examples: 1000095
+  - name: zho
+    num_bytes: 2541033536
+    num_examples: 1000095
+  - name: zho.mt.eng
+    num_bytes: 3787303609
+    num_examples: 1000095
+  - name: eng
+    num_bytes: 3399011290
+    num_examples: 1000095
 ---
 
 # RAGTIME1 Collection
 
-This dataset contains the documents for [TREC RAGTIME Track](https://trec-ragtime.github.io/]). 
+This dataset contains the documents for [TREC RAGTIME Track](https://trec-ragtime.github.io/). 
 Please refer to the website for the details of the task. 
 
 RAGTIME is a multilingual RAG task, which expects the participating system to retrieve relevant documents from all four languages and synthesize a response with citation to the report request. 
 For convenience, we separate the documents by their languages into four `.jsonl` files. However, they are intended to be used as a whole set. 
 
 The documents are extracted from Common Crawl News and sampled between August 1, 2021, and July 31, 2024, with an even number of documents every day. 
-Each language has 1,000,095 documents. 
+Each language has 1,000,095 documents. Machine translation using a Sockeye model trained by HLTCOE are also released. 
+
+## TREC RAGTIME Track 2025 Timeline
+
+Please consider participating in our task! Our dry run topics are released. 
+You need to register at [TREC](https://trec.nist.gov/) to access it. It's a simple process that takes less than 2 minutes to sign up! 
+
+<ul class="steps steps-vertical mb-4">
+  <li class="step-item">
+    <div class="h3 m-0">March 2025</div>
+    <div class="h3 m-0">Evaluation document collection released</div>
+  </li>
+  <li class="step-item">
+    <div class="h3 m-0">April 2025</div>
+    <div class="h3 m-0">Track Guidelines Released</div>
+  </li>
+  <li class="step-item active">
+    <div class="h3 m-0">May 2025</div>
+    <div class="h3 m-0">(Optional) Dry run Topics Released (<a href="https://trec.nist.gov/act_part/tracks/ragtime/topic_file_dry.jsonl">Download for TREC</a>)</div>
+  </li>
+  <li class="step-item">
+    <div class="h3 m-0">Late June 2025</div>
+    <div class="h3 m-0">Final Topics Released</div>
+  </li>
+  <li class="step-item">
+    <div class="h3 m-0">8 July 2025</div>
+    <div class="h3 m-0">(Optional) Dry Run Submissions Due</div>
+  </li>
+  <li class="step-item">
+    <div class="h3 m-0">28 July 2025</div>
+    <div class="h3 m-0">Feedback on Dry Run</div>
+  </li>
+  <li class="step-item">
+    <div class="h3 m-0">July 2025</div>
+    <div class="h3 m-0">Feedback on dry runs</div>
+  </li>
+  <li class="step-item">
+    <div class="h3 m-0">14 August 2025</div>
+    <div class="h3 m-0">Final Submissions Due</div>
+  </li>
+  <li class="step-item">
+    <div class="h3 m-0">October 2025</div>
+    <div class="h3 m-0">Feedback on Final Submissions</div>
+  </li>
+  <li class="step-item">
+    <div class="h3 m-0">November 2025</div>
+    <div class="h3 m-0">TREC 2025 Conference</div>
+  </li>
+</ul>
 
 ## Citation and Attribution