Comments (1)
Figure 18 in the Scaling Flan paper (https://arxiv.org/pdf/2210.11416.pdf) shows the frequency of languages across tasks. This is calculated from the "Languages" column in this dataset statistics file: https://github.com/google-research/FLAN/blob/main/flan/v2/flan_collection_info.csv
Thank you for your question!
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Related Issues (20)
- Datafile AESLC-master.zip meet non_matching_checksum_error
- Broken Dataset Links in FLAN Repository HOT 1
- Question about data source splits
- Trying to access `splits['train']` but `splits` is empty
- Reproducing the flan_v2 results of T5-xl HOT 3
- Code for mixing Enrico sets? HOT 2
- Thank you for your efforts. This is a great job!I have a problem. Why is there only 70 tasks in this FLAN2021_submix_original, and it seems that there are over 140 in the paper? HOT 1
- Could you share the training loss to improve reproducibility? HOT 4
- [Question] Training data formatting for other custom models
- Questions about the Flan Held-Out Tasks (pubmed_qa) and experiment details in the flan collection paper
- Doubt about the TARGET parameter in the dataset
- Issue generating flan2021 submix HOT 1
- Does anyone know which 282 tasks are used? HOT 1
- AESLC Checksum error HOT 4
- No train split in `adversarial_qa_dbert_answer_the_following_q_template_0to10_no_opt_x_shot`
- some Enrico COT entries seem odd HOT 1
- How many samples were used to train Flan-T5?
- Finetuning is definitely better than zero-shot, this is inevitable. So how should I understand the title of this paper?
- Where can I find the test mixture and its templates to reproduce the results in the paper?
- Links to Enrico Shippole FLAN dataset are missing HOT 1
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