Update README.md

README.md

@@ -29,12 +29,8 @@ Poly-FEVER is a multilingual fact verification benchmark designed to evaluate ha
 
 Poly-FEVER consists of 77,973 factual claims with binary labels (SUPPORTS or REFUTES), making it suitable for benchmarking multilingual hallucination detection. The dataset covers various domains, including Arts, Science, Politics, and History.
 
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-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
+- **Funded by [optional]:** Google Cloud Translation
+- **Language(s) (NLP):** English(en), Mandarin Chinese (zh-CN), Hindi (hi), Arabic (ar), Bengali (bn), Japanese (ja), Korean (ko), Tamil (ta), Thai (th), Georgian (ka), and Amharic (am)
 
 ### Dataset Sources [optional]
 
@@ -76,7 +72,9 @@ Poly-FEVER consists of 77,973 factual claims with binary labels (SUPPORTS or REF
 
 ### Source Data
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+FEVER: https://fever.ai/resources.html
+CLIMATE-FEVER: https://www.sustainablefinance.uzh.ch/en/research/climate-fever.html
+SciFact: https://huggingface.co/datasets/allenai/scifact
 
 #### Data Collection and Processing
 
@@ -84,12 +82,6 @@ Poly-FEVER consists of 77,973 factual claims with binary labels (SUPPORTS or REF
 
 [More Information Needed]
 
-#### Who are the source data producers?
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-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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-[More Information Needed]
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 ### Annotations [optional]
 
 <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
@@ -100,18 +92,6 @@ Poly-FEVER consists of 77,973 factual claims with binary labels (SUPPORTS or REF
 
 [More Information Needed]
 
-#### Who are the annotators?
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-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
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-#### Personal and Sensitive Information
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-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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-[More Information Needed]
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 ## Bias, Risks, and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
@@ -152,4 +132,4 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 
 ## Dataset Card Contact
 
-[More Information Needed]
+Hanzhi Zhang