Dataset Card for alvarobartt-improving-text-embeddings-with-llms-full

This dataset has been created with distilabel.

Dataset Summary

This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:

distilabel pipeline run --config "https://huggingface.co/datasets/distilabel-internal-testing/alvarobartt-improving-text-embeddings-with-llms-full/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/distilabel-internal-testing/alvarobartt-improving-text-embeddings-with-llms-full/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: generate_short_text_matching_data_0

---

{
    "brainstorm_model": "CohereForAI/c4ai-command-r-plus",
    "distilabel_metadata": {
        "raw_output_generate_short_text_matching_data_0": "{\n    \"input\": \"Apple TV\",\n    \"positive_document\": \"Apple Streaming Device\"\n}"
    },
    "generation_model": "CohereForAI/c4ai-command-r-plus",
    "input": "Apple TV",
    "positive_document": "Apple Streaming Device",
    "task": "Find the product name given a brand and a product type"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("distilabel-internal-testing/alvarobartt-improving-text-embeddings-with-llms-full", "generate_short_text_matching_data_0")

Configuration: generate_text_classification_data_0

---

{
    "brainstorm_model": "CohereForAI/c4ai-command-r-plus",
    "distilabel_metadata": {
        "raw_output_generate_text_classification_data_0": "{\n  \"input_text\": \"The film\u0027s aesthetic is stunning, with sweeping shots of the African savannah and majestic wildlife. The narrative, however, falls flat with its trite coming-of-age tale and uninspired characters. While the visuals are enough to captivate younger audiences, the plot leaves much to be desired for adult viewers, making it a mediocre attempt at a family film.\",\n  \"label\": \"Negative\",\n  \"misleading_label\": \"Positive\"\n}"
    },
    "generation_model": "CohereForAI/c4ai-command-r-plus",
    "input_text": "The film\u0027s aesthetic is stunning, with sweeping shots of the African savannah and majestic wildlife. The narrative, however, falls flat with its trite coming-of-age tale and uninspired characters. While the visuals are enough to captivate younger audiences, the plot leaves much to be desired for adult viewers, making it a mediocre attempt at a family film.",
    "label": "Negative",
    "misleading_label": "Positive",
    "task": "Sentiment Analysis of Movie Reviews"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("distilabel-internal-testing/alvarobartt-improving-text-embeddings-with-llms-full", "generate_text_classification_data_0")

Configuration: generate_long_text_matching_data_0

---

{
    "brainstorm_model": "CohereForAI/c4ai-command-r-plus",
    "distilabel_metadata": {
        "raw_output_generate_long_text_matching_data_0": "{\n  \"input\": \"When we first met, I saw eternity in your eyes,\\nAn endless universe where my soul could soar,\\nYou painted my world with vibrant hues,\\nAnd I knew I\u0027d never be bored.\\n\\nIn your arms, I found a safe haven,\\nA sanctuary where my heart could rest,\\nYou whispered sweet promises of forever,\\nAnd I believed in them, truly blessed.\\n\\nOur love story blossomed like a rare flower,\\nDelicate petals unfurling with time,\\nWe weathered storms and danced in the rain,\\nOur bond strengthened by every rhyme.\\n\\nFor you, I\u0027d walk through fire and brimstone,\\nFace my deepest fears, brave any fight,\\nWith you by my side, I am invincible,\\nOur love shines bright, a beacon in the night.\\n\\nMy love, when I\u0027m with you, I\u0027m home,\\nIn the warmth of your embrace, I\u0027m complete,\\nTogether, let\u0027s write our timeless tale,\\nPenning forever with hearts in sync.\\n\\nFor you are the poem my heart knew by heart,\\nThe song my soul longed to sing,\\nIn the symphony of our love, I find peace,\\nOur duet, a beautiful thing.\\n\\nSo let us continue this dance of destiny,\\nTwo hearts intertwined, a beautiful mess,\\nIn the garden of our love, let\u0027s plant new dreams,\\nNurturing them with tenderness and care, nothing less.\\n\\nFor our love is a rare and precious gem,\\nA diamond forged in the fires of passion and trust,\\nTogether, we\u0027ll guard it, a treasure so true,\\nOur bond, an unbreakable chain, forever just us.\",\n  \"positive_document\": \"In the stillness of the night, my heart whispers your name,\\nLonging for your touch, I wander in my dreams,\\nFor you are the light in my darkest hour,\\nThe soothing balm to my restless soul, it seems.\\n\\nWhen distance separates us, my love remains unwavering,\\nA steady beacon guiding me through turbulent seas,\\nIn the silence, I hear your voice, a gentle melody,\\nEchoing in the depths of my heart, bringing me to my knees.\\n\\nFor you are the poet and I, your willing muse,\\nTogether, we craft verses of timeless love,\\nWith each word I utter, I paint you a portrait,\\nEtching our tale in the stars above.\\n\\nAcross the vast expanse that keeps us apart,\\nMy thoughts travel to you, my dearest love,\\nIn the quiet of the night, I sense your presence,\\nA comforting embrace that fits like a glove.\\n\\nHow I long to trace your features with my fingers,\\nTo feel the warmth of your skin against mine,\\nTo lose myself in the depths of your eyes,\\nWhere eternal love and passion shine.\\n\\nIn my solitude, your memory keeps me company,\\nA tender smile, a soft caress, a gentle kiss,\\nUntil the day we\u0027re reunited, my love remains,\\nA steadfast anchor, a bond no distance can dismiss.\\n\\nSo, my love, as the moon shines bright above,\\nKnow that my heart beats in rhythm with yours,\\nOur love transcends the barriers of space and time,\\nAn eternal dance, a symphony that endures.\\n\\nIn the quiet of the night, our souls intertwine,\\nOur love, a haven in a chaotic world,\\nTogether, we\u0027ll weather life\u0027s storms, hand in hand,\\nOur bond, a sanctuary where peace is unfurled.\\n\\nUntil we meet again, my heart will hold you captive,\\nIn the depths of my soul, you\u0027ll forever dwell,\\nOur love, a beacon in the dark, shines bright,\\nA timeless tale, our destiny, a love story to tell.\"\n}"
    },
    "generation_model": "CohereForAI/c4ai-command-r-plus",
    "input": "When we first met, I saw eternity in your eyes,\nAn endless universe where my soul could soar,\nYou painted my world with vibrant hues,\nAnd I knew I\u0027d never be bored.\n\nIn your arms, I found a safe haven,\nA sanctuary where my heart could rest,\nYou whispered sweet promises of forever,\nAnd I believed in them, truly blessed.\n\nOur love story blossomed like a rare flower,\nDelicate petals unfurling with time,\nWe weathered storms and danced in the rain,\nOur bond strengthened by every rhyme.\n\nFor you, I\u0027d walk through fire and brimstone,\nFace my deepest fears, brave any fight,\nWith you by my side, I am invincible,\nOur love shines bright, a beacon in the night.\n\nMy love, when I\u0027m with you, I\u0027m home,\nIn the warmth of your embrace, I\u0027m complete,\nTogether, let\u0027s write our timeless tale,\nPenning forever with hearts in sync.\n\nFor you are the poem my heart knew by heart,\nThe song my soul longed to sing,\nIn the symphony of our love, I find peace,\nOur duet, a beautiful thing.\n\nSo let us continue this dance of destiny,\nTwo hearts intertwined, a beautiful mess,\nIn the garden of our love, let\u0027s plant new dreams,\nNurturing them with tenderness and care, nothing less.\n\nFor our love is a rare and precious gem,\nA diamond forged in the fires of passion and trust,\nTogether, we\u0027ll guard it, a treasure so true,\nOur bond, an unbreakable chain, forever just us.",
    "positive_document": "In the stillness of the night, my heart whispers your name,\nLonging for your touch, I wander in my dreams,\nFor you are the light in my darkest hour,\nThe soothing balm to my restless soul, it seems.\n\nWhen distance separates us, my love remains unwavering,\nA steady beacon guiding me through turbulent seas,\nIn the silence, I hear your voice, a gentle melody,\nEchoing in the depths of my heart, bringing me to my knees.\n\nFor you are the poet and I, your willing muse,\nTogether, we craft verses of timeless love,\nWith each word I utter, I paint you a portrait,\nEtching our tale in the stars above.\n\nAcross the vast expanse that keeps us apart,\nMy thoughts travel to you, my dearest love,\nIn the quiet of the night, I sense your presence,\nA comforting embrace that fits like a glove.\n\nHow I long to trace your features with my fingers,\nTo feel the warmth of your skin against mine,\nTo lose myself in the depths of your eyes,\nWhere eternal love and passion shine.\n\nIn my solitude, your memory keeps me company,\nA tender smile, a soft caress, a gentle kiss,\nUntil the day we\u0027re reunited, my love remains,\nA steadfast anchor, a bond no distance can dismiss.\n\nSo, my love, as the moon shines bright above,\nKnow that my heart beats in rhythm with yours,\nOur love transcends the barriers of space and time,\nAn eternal dance, a symphony that endures.\n\nIn the quiet of the night, our souls intertwine,\nOur love, a haven in a chaotic world,\nTogether, we\u0027ll weather life\u0027s storms, hand in hand,\nOur bond, a sanctuary where peace is unfurled.\n\nUntil we meet again, my heart will hold you captive,\nIn the depths of my soul, you\u0027ll forever dwell,\nOur love, a beacon in the dark, shines bright,\nA timeless tale, our destiny, a love story to tell.",
    "task": "Pair lengthy love poems with similar themes and styles"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("distilabel-internal-testing/alvarobartt-improving-text-embeddings-with-llms-full", "generate_long_text_matching_data_0")

Configuration: monolingual_triplet_generator_0

---

{
    "S1": "The recent lunar eclipse was a spectacular astronomical event, a rare opportunity to witness the moon\u0027s subtle beauty.",
    "S2": "Astronomical events like solar and lunar eclipses are fascinating phenomena that have captivated humans for millennia.",
    "S3": "The moon\u0027s orbit around the Earth creates fascinating celestial dances, with lunar eclipses being a highlight of this intricate cosmic ballet.",
    "distilabel_metadata": {
        "raw_output_monolingual_triplet_generator_0": "{\n  \"S1\": \"The recent lunar eclipse was a spectacular astronomical event, a rare opportunity to witness the moon\u0027s subtle beauty.\",\n  \"S2\": \"Astronomical events like solar and lunar eclipses are fascinating phenomena that have captivated humans for millennia.\",\n  \"S3\": \"The moon\u0027s orbit around the Earth creates fascinating celestial dances, with lunar eclipses being a highlight of this intricate cosmic ballet.\"\n}"
    },
    "monolingual_model": "CohereForAI/c4ai-command-r-plus"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("distilabel-internal-testing/alvarobartt-improving-text-embeddings-with-llms-full", "monolingual_triplet_generator_0")

Configuration: generate_text_retrieval_data_0

---

{
    "brainstorm_model": "CohereForAI/c4ai-command-r-plus",
    "distilabel_metadata": {
        "raw_output_generate_text_retrieval_data_0": "{\n  \"user_query\": \"What are the advantages of recycling?\",\n  \"positive_document\": \"Recycling is a process that helps conserve natural resources, reduce landfill waste, and lower the amount of energy and raw materials needed to create new products. By recycling materials such as paper, plastic, glass, and metal, we can give them a second life and reduce our environmental impact. For example, recycling paper can help save trees and reduce the amount of water and energy needed to produce new paper. Similarly, recycling plastic can help reduce the amount of petroleum-based products used, as well as lower the amount of plastic waste that ends up in our oceans and ecosystems. Metal recycling also plays an important role, as it can help reduce the need for mining and the energy-intensive process of refining metals from ore. Glass recycling is another key aspect, as it can be recycled endlessly without losing quality, reducing the need for new glass production. Overall, recycling offers a more sustainable approach to managing our waste and resources, benefiting both the environment and future generations.\",\n  \"hard_negative_document\": \"While it is important to reduce, reuse, and recycle, the process of recycling itself has some limitations and challenges. One of the main issues is the energy consumption and pollution associated with the recycling process. For example, recycling paper requires a significant amount of energy to collect, sort, and process used paper products. Additionally, the recycling process can generate air and water pollution, especially if proper measures aren\u0027t taken to control emissions and treat wastewater. Another challenge is the economic feasibility of recycling, as it often requires a significant investment in infrastructure and technology. In some cases, the cost of recycling materials can outweigh the benefits, especially if the recycled product is of lower quality or has limited demand. Furthermore, the success of recycling programs relies heavily on public participation and proper waste segregation, which can be a challenge in certain communities. Overall, while recycling has its advantages, it is important to acknowledge these limitations and strive for more efficient and sustainable practices to minimize their impact.\"\n}"
    },
    "generation_model": "CohereForAI/c4ai-command-r-plus",
    "hard_negative_document": "While it is important to reduce, reuse, and recycle, the process of recycling itself has some limitations and challenges. One of the main issues is the energy consumption and pollution associated with the recycling process. For example, recycling paper requires a significant amount of energy to collect, sort, and process used paper products. Additionally, the recycling process can generate air and water pollution, especially if proper measures aren\u0027t taken to control emissions and treat wastewater. Another challenge is the economic feasibility of recycling, as it often requires a significant investment in infrastructure and technology. In some cases, the cost of recycling materials can outweigh the benefits, especially if the recycled product is of lower quality or has limited demand. Furthermore, the success of recycling programs relies heavily on public participation and proper waste segregation, which can be a challenge in certain communities. Overall, while recycling has its advantages, it is important to acknowledge these limitations and strive for more efficient and sustainable practices to minimize their impact.",
    "positive_document": "Recycling is a process that helps conserve natural resources, reduce landfill waste, and lower the amount of energy and raw materials needed to create new products. By recycling materials such as paper, plastic, glass, and metal, we can give them a second life and reduce our environmental impact. For example, recycling paper can help save trees and reduce the amount of water and energy needed to produce new paper. Similarly, recycling plastic can help reduce the amount of petroleum-based products used, as well as lower the amount of plastic waste that ends up in our oceans and ecosystems. Metal recycling also plays an important role, as it can help reduce the need for mining and the energy-intensive process of refining metals from ore. Glass recycling is another key aspect, as it can be recycled endlessly without losing quality, reducing the need for new glass production. Overall, recycling offers a more sustainable approach to managing our waste and resources, benefiting both the environment and future generations.",
    "task": "Verify or refute a scientific claim using relevant documents.",
    "user_query": "What are the advantages of recycling?"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("distilabel-internal-testing/alvarobartt-improving-text-embeddings-with-llms-full", "generate_text_retrieval_data_0")

Configuration: bitext_retrieval_generator_0

---

{
    "S1": "Le chat a attrap\u00e9 deux souris hier soir.",
    "S2": "The cat caught two mice last night.",
    "S3": "The cat has catched three mice yesterday evening.",
    "bitext_model": "CohereForAI/c4ai-command-r-plus",
    "distilabel_metadata": {
        "raw_output_bitext_retrieval_generator_0": "{\n    \"S1\": \"Le chat a attrap\u00e9 deux souris hier soir.\",\n    \"S2\": \"The cat caught two mice last night.\",\n    \"S3\": \"The cat has catched three mice yesterday evening.\"\n}"
    }
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("distilabel-internal-testing/alvarobartt-improving-text-embeddings-with-llms-full", "bitext_retrieval_generator_0")