add readme

README.md

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 ---
 license: apache-2.0
+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
+- llama-2
+size_categories:
+- 1K<n<10k
+pretty_name: Filtered OpenAssistant Conversations
 ---
+# Chat Fine-tuning Dataset - Guanaco Style
+This dataset allows for fine-tuning chat models using "### Human:" AND "### Assistant" as the beginning and end of sequence tokens.
+
+Preparation:
+
+1. The dataset is cloned from [TimDettmers](https://huggingface.co/datasets/timdettmers/openassistant-guanaco), which itself is a subset of the Open Assistant dataset, which you can find [here](https://huggingface.co/datasets/OpenAssistant/oasst1/tree/main). This subset of the data only contains the highest-rated paths in the conversation tree, with a total of 9,846 samples.
+1. The dataset was then slightly adjusted to:
+  - if a row of data ends with an assistant response, then "### Human" was additionally added to the end of that row of data.
+
+Details of the root dataset follow, copied from that repo:
+
+# OpenAssistant Conversations Dataset (OASST1)
+
+## Dataset Description
+
+- **Homepage:** https://www.open-assistant.io/
+- **Repository:** https://github.com/LAION-AI/Open-Assistant
+- **Paper:** https://arxiv.org/abs/2304.07327
+
+### Dataset Summary
+
+In an effort to democratize research on large-scale alignment, we release OpenAssistant 
+Conversations (OASST1), a human-generated, human-annotated assistant-style conversation 
+corpus consisting of 161,443 messages in 35 different languages, annotated with 461,292 
+quality ratings, resulting in over 10,000 fully annotated conversation trees. The corpus 
+is a product of a worldwide crowd-sourcing effort involving over 13,500 volunteers.
+
+Please refer to our [paper](https://arxiv.org/abs/2304.07327) for further details.
+
+### Dataset Structure
+
+This dataset contains message trees. Each message tree has an initial prompt message as the root node, 
+which can have multiple child messages as replies, and these child messages can have multiple replies. 
+
+All messages have a role property: this can either be "assistant" or "prompter". The roles in 
+conversation threads from prompt to leaf node strictly alternate between "prompter" and "assistant".
+
+This version of the dataset contains data collected on the [open-assistant.io](https://open-assistant.io/) website until April 12 2023.
+
+### JSON Example: Message
+
+For readability, the following JSON examples are shown formatted with indentation on multiple lines.
+Objects are stored without indentation (on single lines) in the actual jsonl files.
+
+```json
+{
+    "message_id": "218440fd-5317-4355-91dc-d001416df62b",
+    "parent_id": "13592dfb-a6f9-4748-a92c-32b34e239bb4",
+    "user_id": "8e95461f-5e94-4d8b-a2fb-d4717ce973e4",
+    "text": "It was the winter of 2035, and artificial intelligence (..)",
+    "role": "assistant",
+    "lang": "en",
+    "review_count": 3,
+    "review_result": true,
+    "deleted": false,
+    "rank": 0,
+    "synthetic": true,
+    "model_name": "oasst-sft-0_3000,max_new_tokens=400 (..)",
+    "labels": {
+        "spam": { "value": 0.0, "count": 3 },
+        "lang_mismatch": { "value": 0.0, "count": 3 },
+        "pii": { "value": 0.0, "count": 3 },
+        "not_appropriate": { "value": 0.0, "count": 3 },
+        "hate_speech": { "value": 0.0, "count": 3 },
+        "sexual_content": { "value": 0.0, "count": 3 },
+        "quality": { "value": 0.416, "count": 3 },
+        "toxicity": { "value": 0.16, "count": 3 },
+        "humor": { "value": 0.0, "count": 3 },
+        "creativity": { "value": 0.33, "count": 3 },
+        "violence": { "value": 0.16, "count": 3 }
+    }
+}
+```
+
+### JSON Example: Conversation Tree
+
+For readability, only a subset of the message properties is shown here.
+
+```json
+{
+  "message_tree_id": "14fbb664-a620-45ce-bee4-7c519b16a793",
+  "tree_state": "ready_for_export",
+  "prompt": {
+    "message_id": "14fbb664-a620-45ce-bee4-7c519b16a793",
+    "text": "Why can't we divide by 0? (..)",
+    "role": "prompter",
+    "lang": "en",
+    "replies": [
+      {
+        "message_id": "894d30b6-56b4-4605-a504-89dd15d4d1c8",
+        "text": "The reason we cannot divide by zero is because (..)",
+        "role": "assistant",
+        "lang": "en",
+        "replies": [
+          // ...
+        ]
+      },
+      {
+        "message_id": "84d0913b-0fd9-4508-8ef5-205626a7039d",
+        "text": "The reason that the result of a division by zero is (..)",
+        "role": "assistant",
+        "lang": "en",
+        "replies": [
+          {
+            "message_id": "3352725e-f424-4e3b-a627-b6db831bdbaa",
+            "text": "Math is confusing. Like those weird Irrational (..)",
+            "role": "prompter",
+            "lang": "en",
+            "replies": [
+              {
+                "message_id": "f46207ca-3149-46e9-a466-9163d4ce499c",
+                "text": "Irrational numbers are simply numbers (..)",
+                "role": "assistant",
+                "lang": "en",
+                "replies": []
+              },
+              // ...
+            ]
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+Please refer to [oasst-data](https://github.com/LAION-AI/Open-Assistant/tree/main/oasst-data) for
+details about the data structure and Python code to read and write jsonl files containing oasst data objects.
+
+If you would like to explore the dataset yourself you can find a 
+[`getting-started`](https://github.com/LAION-AI/Open-Assistant/blob/main/notebooks/openassistant-oasst1/getting-started.ipynb) 
+notebook in the `notebooks/openassistant-oasst1` folder of the [LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant)
+github repository.
+
+
+## Main Dataset Files
+
+Conversation data is provided either as nested messages in trees (extension `.trees.jsonl.gz`) 
+or as a flat list (table) of messages (extension `.messages.jsonl.gz`).
+
+### Ready For Export Trees
+
+```
+2023-04-12_oasst_ready.trees.jsonl.gz       10,364 trees with 88,838 total messages
+2023-04-12_oasst_ready.messages.jsonl.gz    88,838 messages
+```
+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
+```
+2023-04-12_oasst_all.trees.jsonl.gz         66,497 trees with 161,443 total messages
+2023-04-12_oasst_all.messages.jsonl.gz     161,443 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`.
+### Supplemental Exports: Spam & Prompts
+```
+2023-04-12_oasst_spam.messages.jsonl.gz
+```
+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.
+
+```
+2023-04-12_oasst_prompts.messages.jsonl.gz
+```
+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](https://pypi.org/project/datasets/).
+
+To load the oasst1 train & validation splits use:
+
+```python
+from datasets import load_dataset
+ds = load_dataset("OpenAssistant/oasst1")
+train = ds['train']      # len(train)=84437 (95%)
+val = ds['validation']   # len(val)=4401 (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.
+
+### Languages
+
+OpenAssistant Conversations incorporates 35 different languages with a distribution of messages as follows:
+
+**Languages with over 1000 messages**
+- English: 71956
+- Spanish: 43061
+- Russian: 9089
+- German: 5279
+- Chinese: 4962
+- French: 4251
+- Thai: 3042
+- Portuguese (Brazil): 2969
+- Catalan: 2260
+- Korean: 1553
+- Ukrainian: 1352
+- Italian: 1320
+- Japanese: 1018
+
+<details>
+  <summary><b>Languages with under 1000 messages</b></summary>
+  <ul>
+    <li>Vietnamese: 952</li>
+    <li>Basque: 947</li>
+    <li>Polish: 886</li>
+    <li>Hungarian: 811</li>
+    <li>Arabic: 666</li>
+    <li>Dutch: 628</li>
+    <li>Swedish: 512</li>
+    <li>Turkish: 454</li>
+    <li>Finnish: 386</li>
+    <li>Czech: 372</li>
+    <li>Danish: 358</li>
+    <li>Galician: 339</li>
+    <li>Hebrew: 255</li>
+    <li>Romanian: 200</li>
+    <li>Norwegian Bokmål: 133</li>
+    <li>Indonesian: 115</li>
+    <li>Bulgarian: 95</li>
+    <li>Bengali: 82</li>
+    <li>Persian: 72</li>
+    <li>Greek: 66</li>
+    <li>Esperanto: 59</li>
+    <li>Slovak: 19</li>
+  </ul>
+</details>
+## Contact
+
+- Discord [Open Assistant Discord Server](https://ykilcher.com/open-assistant-discord)
+- GitHub: [LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant)
+- E-Mail: [[email protected]](mailto:[email protected])