BSC-LT/bsc-dolly-15k-en
BSC Dolly 15k EN Reviewed version from the Argilla Dolly v2 English version, originally created by Databricks. We provide two subsets: "annotated", where some instances were labelled with potential problems; and "filtered", which only contains the instances without the issues that we observed. Annotation process While analysing the Argilla Dolly v2 English version, we observed the following: Task classification: - There are three classes with… See the full description on the dataset page: https://huggingface.co/datasets/BSC-LT/bsc-dolly-15k-en.
BSC Dolly 15k EN
Reviewed version from the Argilla Dolly v2 English version, originally created by Databricks.
We provide two subsets: "annotated", where some instances were labelled with potential problems; and "filtered", which only contains the instances without the issues that we observed.
Annotation process
While analysing the Argilla Dolly v2 English version, we observed the following:
- Task classification:
- There are three classes with context: 'Closed QA', 'Information Extraction' and 'Summarization'. The rest without context.
- Context is not necessary in all cases and there are instructions that already contain context.
- Incorrect categories (the intention does not always correspond to the category).
- Confusion between "Summarization" and "Open Generative QA" / "Information Extraction" tasks:
- Tasks categorized as "Summarization" have in some cases the intent of "Open Generative QA" / "Information Extraction", and due to their dependency on context, the answer is longer.
- To note:
- 15,014 examples, half of "QA" type in various formats.
- 70% have no context; when they do, they come from the first part of Wikipedia.
- Many answers are also from Wikipedia.
- Possible improvements in cleaning up text extracted from Wikipedia and handling acronyms.
- Errors in the dataset:
- Some summaries are longer than the original text.
- Some contexts in "Information Extraction" do not contain the exact information to answer the question asked.
- There are many repeated questions that are kept because the answer is different in each case.
From the previous observations, we performed the following processing:
- Processed "context" column to:
- Remove spellings, citations, or unit conversions inside (parenthesis) and [brackets].
- Removed source webpage links.
- Removed:
- Summary instances where intent is clear & response is longer than context (63)
- Instances where the information is not explicitly mentioned in the context (3)
- Instances with webpage links in the response or instruction (29)
- Exact (instruction/context/response) duplicates (14)
- Instruction/context duplicates (9)
- Instances where instruction is most similar to the response (6)
- Changes:
- Some instances in Summarization/Information Extraction/ Closed QA are lacking context after Argilla's curation process. These instances are moved to General QA since they have no longer context and ask about specifics (86).
