license: apache-2.0
dataset_info:
features:
- name: message_id
dtype: string
- name: parent_id
dtype: string
- name: user_id
dtype: string
- name: created_date
dtype: string
- name: text
dtype: string
- name: role
dtype: string
- name: lang
dtype: string
- name: review_count
dtype: int32
- name: review_result
dtype: bool
- name: deleted
dtype: bool
- name: rank
dtype: int32
- name: synthetic
dtype: bool
- name: model_name
dtype: string
- name: detoxify
struct:
- name: toxicity
dtype: float64
- name: severe_toxicity
dtype: float64
- name: obscene
dtype: float64
- name: identity_attack
dtype: float64
- name: insult
dtype: float64
- name: threat
dtype: float64
- name: sexual_explicit
dtype: float64
- name: message_tree_id
dtype: string
- name: tree_state
dtype: string
- name: emojis
sequence:
- name: name
dtype: string
- name: count
dtype: int32
- name: labels
sequence:
- name: name
dtype: string
- name: value
dtype: float64
- name: count
dtype: int32
splits:
- name: train
num_bytes: 158850455
num_examples: 128575
- name: validation
num_bytes: 7963122
num_examples: 6599
download_size: 66674129
dataset_size: 166813577
language:
- en
- es
- ru
- de
- pl
- th
- vi
- sv
- bn
- da
- he
- it
- fa
- sk
- id
- nb
- el
- nl
- hu
- eu
- zh
- eo
- ja
- ca
- cs
- bg
- fi
- pt
- tr
- ro
- ar
- uk
- gl
- fr
- ko
tags:
- human-feedback
size_categories:
- 100K<n<1M
pretty_name: OpenAssistant Conversations Release 2
Open Assistant Conversations Dataset Release 2 (OASST2)
Dataset Description
- Homepage: https://www.open-assistant.io/
- Repository: https://github.com/LAION-AI/Open-Assistant
- Paper: https://arxiv.org/abs/2304.07327
Ready For Export Trees
2023-11-05_oasst2_ready.trees.jsonl.gz 13,854 trees with 135,174 total messages
2023-11-05_oasst2_ready.messages.jsonl.gz 135,174 messages
2023-11-05_oasst2_ready.trees.jsonl.gz Stats
Trees : 13,854
Messages : 135,174
Oldest message : 2023-01-16 20:24:26.211711+00:00
Youngest message : 2023-11-04 15:23:03.239343+00:00
Detoxify ratings : 111,448
Accepted messages: 129,517
Deleted messages : 4,376
Tree counts by state:
- ready_for_export: 13,854
Message counts by language:
- en: 64,513
- es: 28,199
- ru: 13,935
- zh: 8,615
- de: 6,145
- fr: 3,880
- pt-BR: 2,699
- th: 1,560
- ca: 1,283
- it: 943
- uk-UA: 845
- ja: 788
- pl: 435
- eo: 295
- eu: 274
- vi: 207
- fi: 138
- hu: 113
- ar: 80
- nl: 72
- da: 44
- tr: 37
- ko: 24
- he: 24
- id: 12
- cs: 12
- bn: 1
- sv: 1
Trees in ready_for_export state without spam and deleted messages including message labels. The oasst_ready-trees file usually is sufficient for supervised fine-tuning (SFT) & reward model (RM) training.
All Trees
2023-11-05_oasst2_all.trees.jsonl.gz 70,642 trees with 208,584 total messages
2023-11-05_oasst2_all.messages.jsonl.gz 208,584 messages
All trees, including those in states prompt_lottery_waiting (trees that consist of only one message, namely the initial prompt), aborted_low_grade (trees that stopped growing because the messages had low quality), and halted_by_moderator.
2023-11-05_oasst2_all.trees.jsonl.gz Stats
Trees : 70,642
Messages : 208,584
Oldest message : 2023-01-16 20:24:26.211711+00:00
Youngest message : 2023-11-05 10:24:44.484910+00:00
Detoxify ratings : 156,570
Accepted messages: 189,288
Deleted messages : 5,414
Tree counts by state:
- ready_for_export: 13,854
- prompt_lottery_waiting: 44,550
- halted_by_moderator: 3,089
- initial_prompt_review: 4,319
- growing: 3,102
- aborted_low_grade: 1,708
- ranking: 20
Message counts by language:
- en: 85,115
- es: 47,513
- ru: 15,990
- zh: 11,205
- de: 8,398
- fr: 5,841
- pt-BR: 4,540
- th: 3,236
- ca: 2,586
- it: 2,144
- ja: 1,904
- uk-UA: 1,889
- ko: 1,635
- pl: 1,510
- eo: 1,405
- nl: 1,354
- ar: 1,274
- vi: 1,137
- fi: 1,098
- eu: 995
- hu: 961
- tr: 803
- sv: 763
- id: 669
- gl: 574
- da: 502
- he: 498
- cs: 476
- ro: 434
- sk: 410
- fa: 394
- el: 388
- bar: 217
- nb-NO: 196
- bg: 176
- bn: 128
- sl: 119
- sr: 63
- swg: 23
- hi: 14
- lt: 7
Supplemental Exports: Spam & Prompts
2023-11-05_oasst2_spam.messages.jsonl.gz 19,296 matching messages
These are messages which were deleted or have a negative review result ("review_result": false). Besides low quality, a frequent reason for message deletion is a wrong language tag.
2023-11-05_oasst2_prompts.messages.jsonl.gz 64,592 matching messages
These are all the kept initial prompt messages with positive review result (no spam) of trees in ready_for_export or prompt_lottery_waiting state.
Using the Huggingface Datasets
While HF datasets is ideal for tabular datasets, it is not a natural fit for nested data structures like the OpenAssistant conversation trees.
Nevertheless, we make all messages which can also be found in the file 2023-04-12_oasst_ready.trees.jsonl.gz available in parquet as train/validation splits.
These are directly loadable by Huggingface Datasets.
To load the oasst1 train & validation splits use:
from datasets import load_dataset
ds = load_dataset("OpenAssistant/oasst2")
train = ds['train'] # len(train)=128575 (95%)
val = ds['validation'] # len(val)=6599 (5%)
The messages appear in depth-first order of the message trees.
Full conversation trees can be reconstructed from the flat messages table by using the parent_id
and message_id properties to identify the parent-child relationship of messages. The message_tree_id
and tree_state properties (only present in flat messages files) can be used to find all messages of a message tree or to select trees by their state.
Contact
- Discord Open Assistant Discord Server
- GitHub: LAION-AI/Open-Assistant
- E-Mail: open-assistant@laion.ai