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dataset upload

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README.md CHANGED
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  ---
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  license: cc-by-sa-4.0
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-sa-4.0
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  ---
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+ ---
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+ annotations_creators:
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+ - no-annotation
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+ language_creators:
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+ - crowdsourced
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+ license:
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+ - cc-by-sa-4.0
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+ task_categories:
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+ - text-generation
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+ - fill-mask
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+ task_ids:
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+ - language-modeling
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+ - masked-language-modeling
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+ source_datasets:
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+ - original
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+ language:
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+ - en
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+
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: final
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+ path: "data"
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+
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+ pretty_name: europarl-conversation
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+ ---
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+
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+ # Dataset Card for Europarl-Conversation
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+
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+ ![](waifu.png "SD-Generated image styled in the same essence as europarl")
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+
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+ *Waifu to catch your attention.*
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+
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+ ## Dataset Details
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+
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+ ### Dataset Description
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+
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+ *europarl-conversation* is a formal conversational dataset built from europarl data.
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+
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+ - **Curated by:** M8than
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+ - **Funded by [optional]:** Recursal.ai
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+ - **Shared by [optional]:** M8than
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+ - **Language(s) (NLP):** English instruct (but various languages in)
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+ - **License:** cc-by-sa-4.0
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+
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+ ### Dataset Sources [optional]
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+
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+ - **Source Data:** [https://www.statmt.org/europarl/](https://www.statmt.org/europarl/) (Transcript source)
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+
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+ ### Processing and Filtering
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+
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+ ```
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+ Prerequisite:
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+ Download the source dataset from [https://www.statmt.org/europarl/](https://www.statmt.org/europarl/).
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+ ```
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+
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+ The scripts in this repository were written to extract every conversation from the europarl transcripts.
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+ It's as simple as extracting the dataset to an "/text" directory and running the script.
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+
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+ ### Format
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+
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+ Dataset files are JSONL with each line representing one conversation. Each entry is keyed with the full text entry.
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+
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+ ### Data Splits
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+
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+ - final
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+ - Contains full conversations.
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+
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+ ### Dataset Curators
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+
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+ M8than. (If something is wrong, `@m8than` on discord.)
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+
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+ ### Licensing Information
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+
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+ This release contains content from europarl.
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+
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+ Recursal Waifus (The banner image) are licensed under CC-BY-SA.
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+ They do not represent the related websites in any official capacity unless otherwise or announced by the website.
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+ You may use them as a banner image. However, you must always link back to the dataset.
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+
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+ ### Citation Information
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+
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+ ```
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+ @ONLINE{europarl-conversation,
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+ title = {europarl-conversation},
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+ author = {M8than, recursal.ai},
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+ year = {2024},
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+ howpublished = {\url{https://huggingface.co/datasets/recursal/europarl-conversation}},
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+ }
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+ ```
build_europarl_conversation.py ADDED
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+ import os, orjson
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+ import re
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+
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+ cur_dir = os.path.dirname(os.path.abspath(__file__))
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+
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+ txt_dir = cur_dir + "/text"
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+
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+ # read folder names in /txt
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+ categories = os.listdir(txt_dir)
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+
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+ def parse_speech(text):
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+ # This pattern matches speaker tags and extracts ID and NAME attributes
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+ speaker_pattern = re.compile(r'<SPEAKER ID=\"\d+\" NAME=\"(.*?)\"')
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+ # Initialize variables
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+ output = []
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+ speaker_name = ""
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+
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+ for line in text.split('\n'):
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+ # Check for speaker tag
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+ if '<SPEAKER' in line:
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+ # Extract speaker name
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+ match = speaker_pattern.search(line)
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+ if match:
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+ speaker_name = match.group(1)
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+ # Check for paragraph tag or chapter id tag and skip it
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+ elif '<P>' in line or '<CHAPTER ID=' in line:
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+ continue
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+ # Process normal text lines
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+ else:
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+ # Append speaker name before the speech if it's not empty
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+ if speaker_name:
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+ formatted_line = f"\n{speaker_name}: {line}"
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+ # Reset speaker name to avoid repeating it for subsequent lines of the same speaker
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+ speaker_name = ""
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+ else:
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+ formatted_line = line
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+ output.append(formatted_line)
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+
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+ return "\n".join(output)
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+
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+ for category in categories:
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+ # list txt files in each folder
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+ files = os.listdir(txt_dir + category)
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+
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+ jsonl_docs = []
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+ for file in files:
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+ # read each txt file
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+ with open(txt_dir + category + "/" + file, "r") as f:
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+ # try to read content
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+ try:
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+ content = f.read()
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+
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+ parsed_content = parse_speech(content)
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+
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+ jsonl_docs.append({"text": parsed_content, "lang": category})
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+ except:
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+ print("Error reading file:", file)
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+ continue
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+
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+ # write to jsonl file in jsonl folder
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+ with open(cur_dir + "/jsonl/" + category + ".jsonl", "wb") as f:
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+ for doc in jsonl_docs:
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+ f.write(orjson.dumps(doc) + b"\n")
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+
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+
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