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The LongForm dataset is created by leveraging English corpus examples with reverse instructions. We select a diverse set of human-written documents from existing corpora such as C4 and Wikipedia and generate instructions for the given documents via LLMs. Then, we extend these examples with structured corpora examples such as Stack Exchange and WikiHow and task examples such as question answering, email writing, grammar error correction, story/poem generation, and text summarization.

Github Repo: https://github.com/akoksal/LongForm The LongForm dataset

For LongForm OPT and LLaMA models: Use [EOI] to indicate the end of instruction.

How to Load

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("akoksal/LongForm-OPT-6.7B")
tokenizer = AutoTokenizer.from_pretrained("akoksal/LongForm-OPT-6.7B")

instruction = "Write an essay about meditation. [EOI]"
input_ids = tokenizer(instruction, return_tensors="pt").input_ids
target_ids = model.generate(input_ids, do_sample=True, max_new_tokens=50, top_p=0.9)
tokenizer.decode(target_ids[0], skip_special_tokens=True)
# Output:
# > Write an essay about meditation. [EOI]Meditation is a way to quiet the\
# mind, focus on the present, and achieve a calm and serene state of mind.\
# In today's society, people are constantly running from one thing to the next.\
# In order to maintain good mental health,


We provide in-depth evaluation of LongForm models and baselines in the paper. We present the METEOR scores of models in out-of-domain datasets. In all tasks, Recipe Generation (RGen), long-form question answering (ELI5), short story generation (WritingPrompts/WP), LongForm models outperform prior instruction-tuned models.

All Recipe Generation ELI5 Writing Prompts
T0++ 10.9 18.7 3.8 10.2
Tk-Instruct 6.3 12.9* 3.6 2.4
Flan-T5 10.6 20.9* 3.5 7.4
Alpaca-LLaMA-7B 14.6 19.5 12.5 11.8
OPT-30B 11.1 18.6 12.2 2.6
LongForm-T5-XL 16.3 20.2 18.3 10.6
LongForm-OPT-2.7B 17.8 15.5 17.9 19.9
LongForm-OPT-6.7B 17.7 16.9 17.2 19.0
LongForm-LLaMA-7B 19.7 21.7 18.6 18.9

Smaller versions of LongForm-OPT models are also available:

‡: We can just release the difference between LongForm-LLaMA-7B and pretrained LLaMA-7B publicly due to restrictions of LLaMA models.


The LongForm dataset and models mainly focus on long text generation and have limitations regarding structured prediction tasks in NLP. Additionally, we observe that LongForm models may present hallucination problems similar to those found in LLMs.


The LongForm project is subject to a MIT License with custom limitations for restrictions imposed by OpenAI (for the instruction generation part), as well as the license of language models (OPT, LLaMA, and T5). The WikiHow subset of LongForm-C is subject to the license proposed by WikiHow.


      title={LongForm: Effective Instruction Tuning with Reverse Instructions}, 
      author={Abdullatif Köksal and Timo Schick and Anna Korhonen and Hinrich Schütze},
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