Anthropic.Chat

Important: this repository is not official Anthropic software or an official Anthropic dataset. It is a derived merged dataset created from public Hugging Face sources.

Subset details

• Max rows per source dataset: None
• Max total rows: None
• Total rows written: 179,315
• Parquet shards: 360
• Approximate local size: 281.34 MB
• Shard rows: 500
• Include extracted fields: True

Row counts

• princeton-nlp/rl_tulu3_wildchat-if_prompts: 7,794 rows
• fka/prompts.chat: 2,169 rows
• Anthropic/hh-rlhf: 169,352 rows

Splits/configs used

• princeton-nlp/rl_tulu3_wildchat-if_prompts splits/configs: train|config=default: 7,794
• fka/prompts.chat splits/configs: train|config=default: 2,169
• Anthropic/hh-rlhf splits/configs: train|config=default: 160,800, test|config=default: 8,552

Merge errors

• none

Schema

This merged dataset preserves the full original row in:

sample["raw_row_json"]

Additional metadata columns:

Column	Type	Description
uid	string	Unique row identifier
source_dataset	string	Original dataset ID
source_split	string	Original split name
source_config	string	Original config name, if any
row_index	int	Row index inside that source dataset/split/config
raw_row_json	string	Full original row as JSON

If extracted fields are enabled, these columns are also included:

Column	Type	Description
prompt	string	Best-effort prompt/instruction/question/input
chosen	string	Best-effort chosen/preferred/response/output
rejected	string	Best-effort rejected/dispreferred response
messages_json	string	Messages/conversation field serialized as JSON
title	string	Title/name/id, if available
category	string	Category/tag/topic, if available
url	string	URL/link, if available
primary_text	string	Best-effort main text field

Why raw_row_json?

The source datasets have different schemas.

To avoid schema errors and preserve all original information, this merged dataset stores the full original row as JSON:

import json

original_row = json.loads(sample["raw_row_json"])

Usage

from datasets import load_dataset
import json

ds = load_dataset(
    "antontuzovAI/Anthropic.Chat",
    streaming=True,
    split="train"
)

for sample in ds:
    print(sample["source_dataset"])
    print(sample["source_split"])
    print(sample["source_config"])

    original_row = json.loads(sample["raw_row_json"])
    print("Original keys:", list(original_row.keys()))
    break

Preference-style usage

For rows from Anthropic/hh-rlhf, you may often have:

sample["chosen"]
sample["rejected"]

Example:

from datasets import load_dataset

ds = load_dataset(
    "antontuzovAI/Anthropic.Chat",
    streaming=True,
    split="train"
)

for sample in ds:
    if sample["source_dataset"] == "Anthropic/hh-rlhf":
        print("CHOSEN:", sample["chosen"][:500])
        print("REJECTED:", sample["rejected"][:500])
        break

Prompt-style usage

For rows from fka/prompts.chat or princeton-nlp/rl_tulu3_wildchat-if_prompts, you may often have:

sample["prompt"]
sample["title"]
sample["category"]
sample["url"]

Example:

from datasets import load_dataset

ds = load_dataset(
    "antontuzovAI/Anthropic.Chat",
    streaming=True,
    split="train"
)

for sample in ds:
    if sample["source_dataset"] == "fka/prompts.chat":
        print("TITLE:", sample["title"])
        print("CATEGORY:", sample["category"])
        print("PROMPT:", sample["prompt"][:500])
        print("URL:", sample["url"])
        break

Source datasets

This dataset is derived from:

• princeton-nlp/rl_tulu3_wildchat-if_prompts
• fka/prompts.chat
• Anthropic/hh-rlhf

License and usage notice

You must respect the license and terms of each source dataset.

This merged dataset does not grant rights beyond the original source licenses.

If you use this data for training or evaluation, review the source dataset cards carefully.