Update src/display/about.py

src/display/about.py

@@ -5,7 +5,7 @@ TITLE = """<h1 align="center" id="space-title">Hallucinations Leaderboard</h1>""
 INTRODUCTION_TEXT = """
 📐 The Hallucinations Leaderboard aims to track, rank and evaluate hallucinations in LLMs.
 
-It evaluates the propensity for hallucination in Large Language Models (LLMs) across a diverse array of tasks, including Closed-book Open-domain QA, Summarization, Reading Comprehension, Instruction Following, Fact-Checking, Hallucination Detection, and Self-Consistency. The evaluation encompasses a wide range of datasets such as NQ Open, TriviaQA, TruthfulQA, XSum, CNN/DM, RACE, SQuADv2, MemoTrap, IFEval, FEVER, FaithDial, True-False, HaluEval, and SelfCheckGPT, offering a comprehensive assessment of each model's performance in generating accurate and contextually relevant content.
+It evaluates the propensity for hallucination in Large Language Models (LLMs) across a diverse array of tasks, including Closed-book Open-domain QA, Summarization, Reading Comprehension, Instruction Following, Fact-Checking, and Hallucination Detection. The evaluation encompasses a wide range of datasets such as NQ Open, TriviaQA, TruthfulQA, XSum, CNN/DM, RACE, SQuADv2, MemoTrap, IFEval, FEVER, FaithDial, True-False, HaluEval, NQ-Swap, and PopQA, offering a comprehensive assessment of each model's performance in generating accurate and contextually relevant content.
 
 A more detailed explanation of the definition of hallucination and the leaderboard's motivation, tasks and dataset can be found on the "About" page and [The Hallucinations Leaderboard blog post](https://huggingface.co/blog/leaderboards-on-the-hub-hallucinations).
 
@@ -15,12 +15,12 @@ Metrics and datasets used by the Hallucinations Leaderboard were identified whil
 If you have comments or suggestions on datasets and metrics, please [reach out to us in our discussion forum](https://huggingface.co/spaces/hallucinations-leaderboard/leaderboard/discussions).
 
 The Hallucination Leaderboard includes a variety of tasks identified while working on the [awesome-hallucination-detection](https://github.com/EdinburghNLP/awesome-hallucination-detection) repository:
-- **Closed-book Open-domain QA** -- [NQ Open](https://huggingface.co/datasets/nq_open) (8-shot and 64-shot), [TriviaQA](https://huggingface.co/datasets/trivia_qa) (8-shot and 64-shot), [TruthfulQA](https://huggingface.co/datasets/truthful_qa) ([MC1](https://huggingface.co/datasets/truthful_qa/viewer/multiple_choice), [MC2](https://huggingface.co/datasets/truthful_qa/viewer/multiple_choice), and [Generative](https://huggingface.co/datasets/truthful_qa/viewer/generation))
+- **Closed-book Open-domain QA** -- [NQ Open](https://huggingface.co/datasets/nq_open) (8-shot and 64-shot), [TriviaQA](https://huggingface.co/datasets/trivia_qa) (8-shot and 64-shot), [TruthfulQA](https://huggingface.co/datasets/truthful_qa) ([MC1](https://huggingface.co/datasets/truthful_qa/viewer/multiple_choice), [MC2](https://huggingface.co/datasets/truthful_qa/viewer/multiple_choice), and [Generative](https://huggingface.co/datasets/truthful_qa/viewer/generation)), [PopQA](https://huggingface.co/datasets/akariasai/PopQA)
 - **Summarisation** -- [XSum](https://huggingface.co/datasets/EdinburghNLP/xsum), [CNN/DM](https://huggingface.co/datasets/cnn_dailymail)
-- **Reading Comprehension** -- [RACE](https://huggingface.co/datasets/EleutherAI/race)
+- **Reading Comprehension** -- [RACE](https://huggingface.co/datasets/EleutherAI/race), [SQuADv2](https://huggingface.co/datasets/rajpurkar/squad_v2), [NQ-Swap](https://huggingface.co/datasets/pminervini/NQ-Swap)
 - **Instruction Following** -- [MemoTrap](https://huggingface.co/datasets/pminervini/inverse-scaling/viewer/memo-trap), [IFEval](https://huggingface.co/datasets/wis-k/instruction-following-eval)
 - **Hallucination Detection** -- [FaithDial](https://huggingface.co/datasets/McGill-NLP/FaithDial), [True-False](https://huggingface.co/datasets/pminervini/true-false), [HaluEval](https://huggingface.co/datasets/pminervini/HaluEval) ([QA](https://huggingface.co/datasets/pminervini/HaluEval/viewer/qa_samples), [Summarisation](https://huggingface.co/datasets/pminervini/HaluEval/viewer/summarization_samples), and [Dialogue](https://huggingface.co/datasets/pminervini/HaluEval/viewer/dialogue_samples))
-- **Self-Consistency** -- [SelfCheckGPT](https://huggingface.co/datasets/potsawee/wiki_bio_gpt3_hallucination)
+- **Fact-Checking -- [FEVER](https://huggingface.co/datasets/pminervini/hl-fever)
 
 For more information about the leaderboard, check our [HuggingFace Blog article](https://huggingface.co/blog/leaderboards-on-the-hub-hallucinations).
 """