v2 Dataset Overview Issue

[KennethEnevoldsen]

An overview of datasets to add in the new version

New datasets

Danish:

• Applied:
  • Municipal chatbot: MUNI (already added)
• Historical
  • historical clustering (already added). Potentially also Author style clustering? #144
  • historical dataset which I discussed with Alie
    Potential bilingual English-Danish parallel corpus within the medical domain #186
• Linguistic Acceptability:
  • Potential datasets to add from danish-semantic-reasoning-benchmark #172
  • Add DDisco #169 (already added in mteb)
• Add 1000 talemaader
  • Could we as a pair classification dataset where the correct def. is correct and the abstract def and random def are wrong ("konkrete fejlfortolkninger" we will probably have to check")

Norwegian:

• Legal dataset: Mail communication with Hans
• Check that there if there is datasets to add from here: #142

Multilingual:

• Add ScandiSent #151 (language ids might not be great)
• Potentially FAQs from: fix: Add WebFAQ Retrieval dataset embeddings-benchmark/mteb#2236

Multimodal:

• dan:
  • text-image: https://huggingface.co/datasets/alexandrainst/nordjylland-news-image-captioning
  • audio-text:
    • https://huggingface.co/datasets/alexandrainst/coral
    • ftspeech (speaker clustering?)
• nob
  • audio-text
    • https://huggingface.co/datasets/Sprakbanken/nb_samtale
• swe
  • audio-text:
    • https://huggingface.co/datasets/KBLab/rixvox
  • images:
    • clustering of sign language signs
    • price tags
• multilingual
  • audio-text: Mozilla common voice
  • ft

Remove

• Da Political Comments: Quality if questionable and no clear paper attached to it. Similar to DKHate
• Massive Intent: Translated dataset (MUNI is a strictly more realistic evaluation set)
• Massive Scenario: Translated dataset
• Potentially remove
  • LCC, few samples and only labelled by one guy.
  • Twitterhjerne: Questionable quality, we can probably replace it with reasonable retrieval alternatives from MTEB

Other Updates

• Replace dataset with their improved/faster variant in MTEB
• Downsample datasets where needed (at least the largest ones)
• See if there are relevant dataset within MTEB that can be added

[michaeldinzinger]

Hi, the FAQ dataset mentioned above (WebFAQ), which could be interesting for the SEB, includes:

Language	# QA pairs	# Test
swe	159k	10k
dan	138k	10k
nor	63.2k	6324
isl	4778	478

As mentioned in the MTEB PR for this dataset, it is a Retrieval dataset, the QAs were extracted from FAQ Pages of the web and the language identification was done with fastText with a confidence threshold.

The FAQ dataset also includes FAQs aligned between languages, e.g., for dan-nor. Perhaps, thas is interesting for the benchmark, as well. (The BitextMining task for this dataset is not yet on MTEB, but soon, I hope)

[KennethEnevoldsen]

This is great! Thanks for sharing @michaeldinzinger - the question bitext dataset is probably also a good addition to MTEB. My examination of the questions at least looks quite reasonable

I really like the project btw. I could imagine that you could do a project adapting this dataset to a multilngual instruction-tuning dataset (basically by removing any sample where the answer is not commonly known, probably a good portion).

[KennethEnevoldsen]

For Norwegian there is likely improvements in the most recent release:

https://lnkd.in/dp8UsBdv