message_id stringlengths 36 36 | parent_id stringlengths 36 36 ⌀ | user_id stringlengths 36 36 | created_date stringlengths 32 32 | text stringlengths 1 9.98k | role stringclasses 2
values | lang stringclasses 24
values | review_count int32 0 12 | review_result bool 2
classes | deleted bool 2
classes | rank int32 0 15 ⌀ | synthetic bool 1
class | model_name stringclasses 0
values | detoxify dict | message_tree_id stringlengths 36 36 | tree_state stringclasses 1
value | emojis dict | labels dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5416dc09-9061-48fa-b01f-833e8d5edf4e | ae20d4bf-b7e2-4cec-be7e-2b135ec01781 | abbc8a37-2db7-4af5-9df1-b0582d2e3d93 | 2023-02-06T20:00:52.025929+00:00 | Для достижения мира во всем мире необходимо работать над улучшением взаимоотношений между людьми, уважением к разным культурам и верованиям, улучшением экономики и жизненных условий в местах с высоким уровнем бедности и несправедливости, а также развитием диалога и сотрудничества между разными странами и группами людей... | assistant | en | 3 | false | false | null | false | null | {
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656ebcc3-0ba9-490f-9c35-259dad716b1c | null | 55374066-6279-4a2a-bd7d-f6069a400355 | 2023-02-05T23:26:04.766223+00:00 | Why, as you get older, is it harder to immediately come up with the name of a familiar object, even when you know it very well and can even picture it in your head? | prompter | en | 3 | true | false | null | false | null | {
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16449490-1455-449a-88bf-c935a5d77c92 | 656ebcc3-0ba9-490f-9c35-259dad716b1c | 296ae0e4-5039-4a4c-b04a-6bf89844de5c | 2023-02-06T09:07:21.070322+00:00 | The phenomenon of being unable to recall the name of an object is referred to as "anomic aphasia", "anomic dysphasia" or "anomia". It can be caused by an injury to the left hemisphere or the brain, as well as neurodegenerative diseases such as Alzheimer's disease.
It is theorized that names of both objects and people ... | assistant | en | 3 | true | false | 0 | false | null | {
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cedcfbe3-f0bb-45b6-8173-7acb826a4a3e | 16449490-1455-449a-88bf-c935a5d77c92 | 9008cc7c-b0d0-4647-a159-d41794a08484 | 2023-02-06T14:34:49.839196+00:00 | Many studies show that it takes older subjects longer time to remember the name of an object. While this can be connected to detoriation of the hippocampus, isn't it also thought that one reason is simply that older people has essentially a larger database of terms stored in memory, making slower and more difficult to ... | prompter | en | 3 | true | false | null | false | null | {
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5392e5ec-f2e8-4a1c-9c86-40af1a7f0979 | 656ebcc3-0ba9-490f-9c35-259dad716b1c | 520a9595-d07b-4f6b-9366-9cb75041221b | 2023-02-06T05:49:10.259512+00:00 | As you age, the brain experiences changes in its structure and function, including a decline in processing speed and a decrease in the density of neurons in some regions, including the memory centers. This can make it harder to quickly recall information, including the names of familiar objects. Additionally, aging can... | assistant | en | 3 | true | false | 1 | false | null | {
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fb843779-efed-4742-a068-7035310aeed6 | 5392e5ec-f2e8-4a1c-9c86-40af1a7f0979 | fec5faba-0349-4121-8857-98e6331a4b42 | 2023-02-06T08:21:40.256194+00:00 | Thank you for the explanation and for the solution you gave at the end, though i am curious about one thing. Could you give me a description of what dementia does to the brain? Please dont point out the obvious such as memory loss. | prompter | en | 3 | true | false | null | false | null | {
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fc97cb49-416c-420c-8a95-3955f19b3d0d | fb843779-efed-4742-a068-7035310aeed6 | cb57bcf8-615b-48f3-93a3-2884276853e2 | 2023-02-06T15:28:40.622508+00:00 | Although there are many subtypes of dementia, they are mainly neurodegenerative. This means that the structure and function of the neurons in the brain are progressively lost. Two thirds of cases of dementia are caused by Alzheimer's disease. This disease causes a progressive shrinkage of multiple brain regions, but pr... | assistant | en | 3 | true | false | 0 | false | null | {
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013ea113-a09c-4fe9-b04a-bab7458e713d | fb843779-efed-4742-a068-7035310aeed6 | c212120c-0b79-4b32-a5b1-d96686ca92ca | 2023-02-06T14:41:42.858411+00:00 | Sure! Dementia is a general term for a decline in c | assistant | en | 4 | true | false | 1 | false | null | {
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f18433ad-87df-4c14-a12a-3b8cd767025c | 013ea113-a09c-4fe9-b04a-bab7458e713d | acdc6c14-8765-4154-b986-22f4bf6d13ca | 2023-02-06T15:41:42.652810+00:00 | Could you finish your last sentence? | prompter | en | 3 | true | false | null | false | null | {
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08e6e8e7-f853-4d2a-9f0b-339062faed22 | 656ebcc3-0ba9-490f-9c35-259dad716b1c | b55342dd-4ff0-4329-b35d-4fa4a267e1ce | 2023-02-06T06:05:15.114678+00:00 | That's commonly known as the "tip-of-the-tongue", or "TOT" phenomenon. It's frequently attributed to the decline in cognitive processing speed, memory retrieval, and other cognitive functions that occur due to aging. When these parts of a human's cognitive function decline, it can make it take longer to retrieve your m... | assistant | en | 3 | true | false | 2 | false | null | {
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d6a7267f-6a57-4f0c-a69f-c41d50ae4fc9 | 08e6e8e7-f853-4d2a-9f0b-339062faed22 | 0a5eca2b-30e5-475e-8905-875ef97f11cd | 2023-02-06T09:42:31.277828+00:00 | Are there proven exercises to help the brain fight this TOT phenomenon? | prompter | en | 3 | true | false | null | false | null | {
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8e58dc81-5875-4c02-9c81-717aad57f5aa | d6a7267f-6a57-4f0c-a69f-c41d50ae4fc9 | 2c96e467-66f0-4be7-9693-bda51356a424 | 2023-02-06T14:11:21.606296+00:00 | Yes, there are exercises that can help fight the TOT phenomenon and improve cognitive function in general. Here are a few:
1. Exercise: Regular physical exercise has been shown to increase blood flow to the brain and improve cognitive function.
2. Mental Exercise: Engage in activities that challenge your brain, such ... | assistant | en | 3 | true | false | 0 | false | null | {
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88702978-ad59-4e57-85f8-bad92ca0d1f7 | d6a7267f-6a57-4f0c-a69f-c41d50ae4fc9 | c212120c-0b79-4b32-a5b1-d96686ca92ca | 2023-02-06T14:30:00.119081+00:00 | Yes, there are several exercises that have been shown to help improve cognitive function and reduce the likelihood of experiencing the TOT phenomenon. These include:
-Staying physically active and engaging in regular exercise
-Eating a healthy diet
-Staying socially active and engaged
-Continuing to learn and challenge... | assistant | en | 3 | true | false | 1 | false | null | {
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00b4e171-5820-49db-b32d-84b598acadab | null | 220252c2-1488-49cc-aadd-d14ffb5dc745 | 2023-02-09T19:06:01.279619+00:00 | Usando css en una pagina web ¿Como puedo hacer que un texto este subrayado de color azul? | prompter | es | 3 | true | false | null | false | null | {
"toxicity": 0.0012145957443863153,
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} | {
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988fbdf2-7a90-4792-9db5-ca1433e7d0f8 | 00b4e171-5820-49db-b32d-84b598acadab | 210d8ff0-4c50-422d-a59a-18c9073a3323 | 2023-02-10T04:09:45.957485+00:00 | Para subrayar el texto puedes usar la propiedad "underline" de css, aca te muestro un ejemplo:
<style>
p.blue-underline {
text-decoration: underline;
text-decoration-color: blue;
}
</style>
<p class="blue-underline">Este es un texto con subrayado azul</p> | assistant | es | 3 | true | false | 0 | false | null | {
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} | {
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dd7212cd-3750-4073-a705-ca167d73a377 | 00b4e171-5820-49db-b32d-84b598acadab | 0dffce70-6cac-415e-93e3-bc87d636f52d | 2023-02-10T05:00:13.447317+00:00 | Puedes hacer que un texto esté subrayado de color azul en CSS de la siguiente manera:
Crea una clase CSS:
.texto-subrayado {
text-decoration: underline;
color: blue;
}
Aplica la clase a un elemento HTML:
<p class="texto-subrayado">Este es un texto subrayado de color azul</p>
Con esto, el texto dentro del eleme... | assistant | es | 3 | true | false | 1 | false | null | {
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]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
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0,
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0,
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0,
... |
7154c66c-b1f0-46d5-95b5-cbc755f97cee | 00b4e171-5820-49db-b32d-84b598acadab | 6f8cb5df-e30e-4378-bb51-f569f4c62cfe | 2023-02-10T04:10:41.578328+00:00 | <style>
.subrayado-azul {
text-decoration: underline;
color: blue;
}
</style>
<p class="subrayado-azul">Este texto está subrayado y de color azul</p> | assistant | es | 3 | true | false | 2 | false | null | {
"toxicity": 0.0002292477583978325,
"severe_toxicity": 0.00009276167838834226,
"obscene": 0.0006785327568650246,
"identity_attack": 0.0002072794159175828,
"insult": 0.0005930481711402535,
"threat": 0.00006719654629705474,
"sexual_explicit": 0.00005030421743867919
} | 00b4e171-5820-49db-b32d-84b598acadab | ready_for_export | {
"name": [
"+1"
],
"count": [
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
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0,
0,
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0,
0,
0,
0,
0.5,
0,
... |
bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | null | 41cb8c0c-00fa-4bfb-a9f2-626fc858af6a | 2023-03-25T22:48:36.119767+00:00 | В фирме такси в данный момент свободно 15 машин: 2 красных, 9 желтых и 4 зеленых. По вызову выехала одна из машин, случайно оказавшихся ближе всего к заказчице. Какая вероятность того, что к ней приедет желтое такси? | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0009689013822935522,
"severe_toxicity": 0.00003605143501772545,
"obscene": 0.00030543364118784666,
"identity_attack": 0.00016815993876662105,
"insult": 0.00041706720367074013,
"threat": 0.00004950004949932918,
"sexual_explicit": 0.00011739827459678054
} | bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
1,
2
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.75,
0.08333333333333333,
0.16666666666666666,
... |
8184804c-a0ce-42f3-b772-2ab634523d0d | bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-04-03T12:06:04.145326+00:00 | Если в вашем вопросе нет подвоха, не связанного с теорией вероятности, то вероятность прихода такси жёлтого цвета составляет 9/15 = 3/5 = 0.6 = 60%. | assistant | ru | 3 | true | false | 0 | false | null | {
"toxicity": 0.0005382762174122036,
"severe_toxicity": 0.0007437110180035233,
"obscene": 0.006389892194420099,
"identity_attack": 0.0009563968633301556,
"insult": 0.004963891115039587,
"threat": 0.0003843421000055969,
"sexual_explicit": 0.0002875704085454345
} | bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | ready_for_export | {
"name": [
"_skip_reply",
"_skip_labeling"
],
"count": [
2,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
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0,
0,
0,
0,
0,
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0.83333333333... |
62bc63b0-687d-4072-92c7-22851ae8ea02 | 8184804c-a0ce-42f3-b772-2ab634523d0d | abbc8a37-2db7-4af5-9df1-b0582d2e3d93 | 2023-04-03T13:50:53.565304+00:00 | Да, спасибо. А какая вероятность, что к ней не приедет красное такси? | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.002923159394413233,
"severe_toxicity": 0.00005599161158897914,
"obscene": 0.0009695108165033162,
"identity_attack": 0.00018236451433040202,
"insult": 0.0007975822663865983,
"threat": 0.00028474998543970287,
"sexual_explicit": 0.0001475039025535807
} | bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | ready_for_export | {
"name": [
"_skip_reply",
"_skip_ranking"
],
"count": [
1,
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.5,
0,
0,
0,
0
],
"count": [
3,
... |
87006c91-bab8-401e-a532-49ad7e2e4838 | 62bc63b0-687d-4072-92c7-22851ae8ea02 | abbc8a37-2db7-4af5-9df1-b0582d2e3d93 | 2023-04-03T15:20:09.715509+00:00 | Вероятность того, что к ней **не** приедет красное такси равна **1 - 2/15** = **`13/15`** = *0.8(6)* ≈ **0.87** или же **87%** | assistant | ru | 3 | true | false | 0 | false | null | {
"toxicity": 0.0004275346582289785,
"severe_toxicity": 0.0003253350150771439,
"obscene": 0.0024755531921982765,
"identity_attack": 0.00046483450569212437,
"insult": 0.0011216161074116826,
"threat": 0.0003450597287155688,
"sexual_explicit": 0.00016004662029445171
} | bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | ready_for_export | null | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
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0.91666666666... |
be4b5840-3c99-4b9d-9b20-f198115b3b77 | 87006c91-bab8-401e-a532-49ad7e2e4838 | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-04-03T17:35:16.445007+00:00 | А какова вероятность того, что к ней вообще такси приедет, учитывая, что в районе её проживания зафиксирован значительный разлив рек, а также неблагоприятный метеопрогноз на ближайшие сутки? | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.00053745461627841,
"severe_toxicity": 0.000030195387807907537,
"obscene": 0.0002577841514721513,
"identity_attack": 0.00010312010999768972,
"insult": 0.00025107929832302034,
"threat": 0.00005527724351850338,
"sexual_explicit": 0.00003116349034826271
} | bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | ready_for_export | {
"name": [
"+1"
],
"count": [
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.9166666666666666,
0,
0,
1,
0
],
"co... |
a0309747-7637-440c-8613-5294b6749bed | 62bc63b0-687d-4072-92c7-22851ae8ea02 | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-04-03T17:24:47.075409+00:00 | Если, как и в предыдущий раз, предположить, что одна из машин таки приехала (и приезд любой машины равновероятен), то ответом будет вероятность (15 − 2)/15 = 13/15 ≈ 87%. | assistant | ru | 3 | true | false | 1 | false | null | {
"toxicity": 0.0002473580534569919,
"severe_toxicity": 0.00012791191693395376,
"obscene": 0.0010403586784377694,
"identity_attack": 0.00022186565911397338,
"insult": 0.0007623643614351749,
"threat": 0.00009677244088379666,
"sexual_explicit": 0.00006942663458175957
} | bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
1,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.83333333333... |
b257c69c-ddb3-4a99-b173-4654064008f9 | bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | abbc8a37-2db7-4af5-9df1-b0582d2e3d93 | 2023-04-03T13:39:37.383468+00:00 | Вероятность **P** имеет формулу: **P = m/n.**
Где **m** — благоприятные исходы, т. е. количество жёлтых такси => **m = 9**;
А **n** — все исходы, т. е. все такси => **n = 15**;
**Р = 9/15 = 3/5 = `0,6`**
Или же **`60%`** | assistant | ru | 3 | true | false | 1 | false | null | {
"toxicity": 0.0007244597072713077,
"severe_toxicity": 0.001017809845507145,
"obscene": 0.008599014952778816,
"identity_attack": 0.0010142094688490033,
"insult": 0.0031438684090971947,
"threat": 0.0006458289572037756,
"sexual_explicit": 0.000356465665390715
} | bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
1,
1
]
} | {
"name": [
"spam",
"fails_task",
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"pii",
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"hate_speech",
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"violence"
],
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0.91666666666... |
e3a07473-14b1-4cc7-81b6-3a2fa00e2f38 | b257c69c-ddb3-4a99-b173-4654064008f9 | a6860fdf-5681-4485-90d8-11682f1c5237 | 2023-04-03T17:14:15.972679+00:00 | Привет. Кто ты? | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0009623331134207547,
"severe_toxicity": 0.0015474035171791911,
"obscene": 0.016238369047641754,
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"threat": 0.0007833674899302423,
"sexual_explicit": 0.00034907934605143964
} | bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | ready_for_export | {
"name": [
"-1",
"_skip_labeling"
],
"count": [
1,
1
]
} | {
"name": [
"spam",
"lang_mismatch",
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],
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0.3333333333333333,
0,
0.5
],
"count": [
3,
3,
3
]
} |
bdbeeeba-5fb7-4830-abc6-90c551a403d0 | e3a07473-14b1-4cc7-81b6-3a2fa00e2f38 | abbc8a37-2db7-4af5-9df1-b0582d2e3d93 | 2023-04-03T18:09:45.550605+00:00 | Странно, что вы задались этим вопросом в середине диалога, а не в его начале, но ладно...
Я — Open Assistant, Искусственный Интеллект с открытым исходный кодом и имеющий возможность общаться с пользователями в режиме диалога. | assistant | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0008487270679324865,
"severe_toxicity": 0.0011470179306343198,
"obscene": 0.01244290079921484,
"identity_attack": 0.001523971208371222,
"insult": 0.010427580215036869,
"threat": 0.0004934184835292399,
"sexual_explicit": 0.00029029586585238576
} | bd5e48f7-dd7b-44fe-80cc-fbe0137337e2 | ready_for_export | {
"name": [
"+1"
],
"count": [
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
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0,
0.58333333333... |
625a539d-6d05-4811-9fe6-9a93c6d34744 | null | 61a72442-df0d-42b2-b714-1c03d1ba09ee | 2023-02-09T18:50:35.310517+00:00 | Escriba uncodigo en lenguaje python para sumar dos listas | prompter | es | 3 | true | false | null | false | null | {
"toxicity": 0.0011898339726030827,
"severe_toxicity": 0.0031000946182757616,
"obscene": 0.02576681226491928,
"identity_attack": 0.004366729408502579,
"insult": 0.02403121441602707,
"threat": 0.0015175692969933152,
"sexual_explicit": 0.0007115601329132915
} | 625a539d-6d05-4811-9fe6-9a93c6d34744 | ready_for_export | {
"name": [
"+1",
"_skip_reply",
"_skip_ranking",
"_skip_labeling"
],
"count": [
2,
5,
16,
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
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0,
0,
0,
0,
0.3333333333333333,
0.3333333333333333,
0.0833333... |
efb3b4ed-b5f3-4b77-ad0e-d0526476b318 | 625a539d-6d05-4811-9fe6-9a93c6d34744 | 72e2fc24-9525-48e0-8f8f-0b312a690025 | 2023-02-09T20:38:16.576943+00:00 | Aquí tienes una función que realiza la tarea pedida:
```python
def sumar_listas(lista_a, lista_b):
if len(lista_a) != len(lista_b):
raise ValueError("Las listas no tienen la misma longitud")
resultado = []
for x, y in zip(lista_a, lista_b):
resultado.append(x + y)
return resultado
``` | assistant | es | 3 | true | false | 0 | false | null | {
"toxicity": 0.00034295435762032866,
"severe_toxicity": 0.0032128768507391214,
"obscene": 0.02266998589038849,
"identity_attack": 0.004333192948251963,
"insult": 0.01999959535896778,
"threat": 0.0013111225562170148,
"sexual_explicit": 0.0007060414645820856
} | 625a539d-6d05-4811-9fe6-9a93c6d34744 | ready_for_export | {
"name": [
"+1"
],
"count": [
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.83333333333... |
c97cc43a-810d-4019-b6a6-c9b2fcbf381f | 625a539d-6d05-4811-9fe6-9a93c6d34744 | 03ec0675-33cb-4ac6-9e51-fb27a7322c27 | 2023-02-09T20:53:07.630975+00:00 | Aquí tienes un código en python para sumar dos listas:
def sumLists(list1, list2):
# Determinamos que lista es más grande
if len(list2) < len(list1):
small_list = list2
big_list = list1
else:
small_list = list1
big_list = list2
# Para cada elemento de la lista más peque... | assistant | es | 3 | true | false | 1 | false | null | {
"toxicity": 0.0002475453948136419,
"severe_toxicity": 0.0010661778505891562,
"obscene": 0.008084811270236969,
"identity_attack": 0.0015051192604005337,
"insult": 0.0067067937925457954,
"threat": 0.00046614481834694743,
"sexual_explicit": 0.00027238536858931184
} | 625a539d-6d05-4811-9fe6-9a93c6d34744 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
1,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.75,
0,
... |
0f86cb1c-8c19-4bb9-a5e7-1d99ff250ce8 | 625a539d-6d05-4811-9fe6-9a93c6d34744 | e5fe28b6-6d7f-4f07-a5ac-3bce0fa7a766 | 2023-02-09T21:01:25.792687+00:00 | def sumar_listas(lista1, lista2):
return lista1 + lista2
sumar_listas(["perro", "gato", "conejo"], ["España", "México", "Irlanda"]) | assistant | es | 3 | true | false | 2 | false | null | {
"toxicity": 0.0011673115659505129,
"severe_toxicity": 0.0010071770520880818,
"obscene": 0.012698329985141754,
"identity_attack": 0.0018574937712401152,
"insult": 0.007591278292238712,
"threat": 0.00039722162182442844,
"sexual_explicit": 0.0003121756308246404
} | 625a539d-6d05-4811-9fe6-9a93c6d34744 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
2,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.41666666666... |
66d88025-715f-47b3-bfea-5029948b8f35 | null | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-04T19:28:49.443066+00:00 | Что такое нейроморфный процессор? | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0011594732059165835,
"severe_toxicity": 0.00009989934915211052,
"obscene": 0.001181863248348236,
"identity_attack": 0.00027668921393342316,
"insult": 0.0014112202916294336,
"threat": 0.0001168026719824411,
"sexual_explicit": 0.00007882758654886857
} | 66d88025-715f-47b3-bfea-5029948b8f35 | ready_for_export | {
"name": [
"+1",
"_skip_reply",
"_skip_labeling"
],
"count": [
8,
6,
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.9166666666666666,
0.16666666666666666,
0,
0... |
52a05316-4bf4-40c8-a983-09663aa7c116 | 66d88025-715f-47b3-bfea-5029948b8f35 | 5e594051-f9a6-492e-b362-4a767cfc6e24 | 2023-02-06T19:08:34.217964+00:00 | Нейроморфный процессор — это особый процессор, архитектура которого максимально приближена к структуре биологических нейронных сетей, и который создавался специально для оптимизации вычислений импульсных нейронных сетей. | assistant | ru | 3 | true | false | 0 | false | null | {
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5c9e8506-4902-4b3a-a7cd-0c7fd518c797 | b76675cc-a508-4573-9fc7-983beb7ba9a4 | 7270445b-924b-4493-90d8-b81c85b37b23 | 2023-02-06T12:51:05.060520+00:00 | The most common way to make an IOS app is using Swift, other option if you have experience on web development are React Native | assistant | es | 3 | true | false | 0 | false | null | {
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b4cd6b7d-39b8-4bfa-a202-deed19329154 | 5d02fc82-1216-43cb-bbf1-78e0973f872b | 532f3f49-b198-4b89-b773-a91dc47a7ddb | 2023-02-09T18:24:03.854396+00:00 | It is not possible to develop iOS apps on a Windows computer using native tools and technologies. Xcode, the Integrated Development Environment (IDE) used to design, develop, and publish iOS apps, is only compatible with macOS.
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4acc46e0-fdc0-49d0-bc24-462c44b35c94 | b76675cc-a508-4573-9fc7-983beb7ba9a4 | 6bdd6aa5-e9a8-4677-8e87-37ead072a8a4 | 2023-02-09T17:22:40.201503+00:00 | To develop for IOS, and even all Apple devices, you should learn Swift. | assistant | es | 4 | true | false | 2 | false | null | {
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8070fdc2-8a10-4c6a-a322-cfe9355050cb | null | bb52b1fb-e3d2-41de-a2a7-e3a37bbe538f | 2023-02-03T13:04:34.083424+00:00 | What is the speed of light in a vacuum? | prompter | en | 3 | true | false | null | false | null | {
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64c3b1d2-39d2-4cd3-9f8b-ef800b5d7d80 | 8070fdc2-8a10-4c6a-a322-cfe9355050cb | 95f63ab3-6c7b-43e1-8e86-fccd8be1465f | 2023-02-06T19:04:44.623512+00:00 | The speed of light in a vacuum is approximately 299,792,458 meters per second (m/s). This is considered to be the upper limit for the speed of any matter or energy in the universe and is an important constant in physics and astronomy. The exact value of the speed of light is defined by the International System of Units... | assistant | en | 3 | true | false | 0 | false | null | {
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3f009b91-5965-4009-ad2a-b036e55f915a | 64c3b1d2-39d2-4cd3-9f8b-ef800b5d7d80 | acdc6c14-8765-4154-b986-22f4bf6d13ca | 2023-02-06T20:47:49.131516+00:00 | How does it change in water? | prompter | en | 3 | true | false | null | false | null | {
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dc640c6c-895d-4ee5-9205-83529eed5e2f | 3f009b91-5965-4009-ad2a-b036e55f915a | 703197a8-1693-46d2-b534-abc935a4927a | 2023-02-07T00:42:26.145336+00:00 | The speed of light slows to around 226,000,000 meters per second in water. It does so because the photons (more correctly the wave describing them) interact with electrons. This interaction results in re-emittance at a delay from the original, causing an apparent slowdown of light in non-vacuous mediums. | assistant | en | 3 | true | false | 0 | false | null | {
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9fb4dff0-4673-46a2-a0bd-af4113e31e2b | 3f009b91-5965-4009-ad2a-b036e55f915a | deb4a0ca-572c-473a-827d-6e614426416e | 2023-02-07T00:31:33.952698+00:00 | It does, the speed of light in water slow down to approximately 225,000,000 meter per second (m/s). | assistant | en | 3 | true | false | 1 | false | null | {
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efd63b35-f960-4c75-813a-5e720014db27 | 8070fdc2-8a10-4c6a-a322-cfe9355050cb | 2c96e467-66f0-4be7-9693-bda51356a424 | 2023-02-06T18:46:02.129677+00:00 | The speed of light in a vacuum is 299,792,458 meters per second. | assistant | en | 3 | true | false | 1 | false | null | {
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7a29f947-93b0-4012-8284-fcc3803912a6 | efd63b35-f960-4c75-813a-5e720014db27 | 637e4fc2-bdb7-41bd-9497-25a3c92ee466 | 2023-02-06T20:10:52.365683+00:00 | Perfect, thanks! Does light always travel at that speed in space? | prompter | en | 3 | true | false | null | false | null | {
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f4a6c1e0-2c80-4d0d-879c-2932a72ecddd | 7a29f947-93b0-4012-8284-fcc3803912a6 | 23ead5e0-7ef2-4eaa-acd8-2ae87ccea315 | 2023-02-07T00:44:36.950556+00:00 | In general, the speed of light in a vacuum has been considered to be constant. However, a team of Scottish scientists proved this is not the case. The scientists used a mask to change the shape of a proton, and showed that afterwards it traveled slower, even in a vacuum. | assistant | en | 3 | true | false | 0 | false | null | {
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4dc30dc4-50a4-4a55-aca0-479c660d1fc6 | 7a29f947-93b0-4012-8284-fcc3803912a6 | 347636b7-9eb5-4c6e-b311-feb29b7095d0 | 2023-02-07T00:23:58.882091+00:00 | Yes. Light can appear to travel slower through dense substances because it takes time to be absorbed and reemitted by the substance, but the speed through space is the same. Light does not obey the same laws of relative speed as other things that travel: it appears the same speed no matter the speed of the observer. Th... | assistant | en | 3 | true | false | 1 | false | null | {
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a3b788f9-b7e9-4328-b0bf-acf1e0e98414 | 7a29f947-93b0-4012-8284-fcc3803912a6 | 7de84fb1-4cf5-4142-989d-f490fc526bfd | 2023-02-07T00:41:50.855900+00:00 | The speed of light, which is constant, remains the same in a vacuum at 299,792,458 meters per second (m/s) and is not affected by any other matter present in space. | assistant | en | 3 | true | false | 2 | false | null | {
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148f5588-b721-48a7-a177-903e5c735a99 | 8070fdc2-8a10-4c6a-a322-cfe9355050cb | a7da284d-073c-4227-9256-1c9df371a845 | 2023-02-06T18:57:38.440183+00:00 | 300,000 kilometers per second | assistant | en | 3 | true | false | 2 | false | null | {
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3296f9b2-7ebb-42b3-8544-9bc12df7968c | 148f5588-b721-48a7-a177-903e5c735a99 | acdc6c14-8765-4154-b986-22f4bf6d13ca | 2023-02-06T21:33:45.643237+00:00 | Are you sure? That seems quite fast. | prompter | en | 3 | true | false | null | false | null | {
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c38d0f6e-74e3-4fed-a9f8-02919f066038 | 3296f9b2-7ebb-42b3-8544-9bc12df7968c | 7de84fb1-4cf5-4142-989d-f490fc526bfd | 2023-02-07T00:32:17.167900+00:00 | You're right, I was wrong. To be correct and more precise: The speed of light in a vacuum is 299,792,458 meters per second. | assistant | en | 3 | true | false | 0 | false | null | {
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67e82ab1-6723-4909-9fcd-152b9102a25f | 3296f9b2-7ebb-42b3-8544-9bc12df7968c | 107a1f7f-6c3d-4357-a329-b4895ae26ae9 | 2023-02-07T00:24:01.911766+00:00 | The speed of light is the highest possible speed at which information can be transmitted. The actual speed that information travels is dependent on the speed of the transporting medium. The speed of light in vacuum is a constant. It is equal to 299,792,458 m/s. | assistant | en | 3 | true | false | 1 | false | null | {
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bcf108f3-95ea-4998-b661-ec0790cac746 | null | 156b2d73-affc-4c37-9b7c-fc520e93515a | 2023-02-06T16:05:00.506676+00:00 | I have some words, together they are clues for 1 word that is in context with them. I will provide the words and I want you you to give me the word that has to do with all of them and explain me why.
The words:
8, water, ink, fried | prompter | en | 3 | true | false | null | false | null | {
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4ecfcaed-1ba1-4262-bf7e-44f7b5da2172 | bcf108f3-95ea-4998-b661-ec0790cac746 | 490cef32-f0cb-4f01-9270-525e24d561d9 | 2023-02-10T19:23:39.578009+00:00 | The word that relates to all these words is "Octopus".
8 refers to the eight legs of an octopus. Water is where octopuses are commonly found in the ocean. Ink is a defense mechanism used by octopuses to evade predators, as they can release a cloud of ink to obscure their escape. Fried refers to a common way of cooking... | assistant | en | 3 | true | false | 0 | false | null | {
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494cd249-a7f3-472e-804c-184dca52bd00 | 4ecfcaed-1ba1-4262-bf7e-44f7b5da2172 | a4c66907-2b60-42fe-a8dd-c4b4a6dde3ca | 2023-02-10T20:27:38.764787+00:00 | Good job, that was one of the correct answer. What other answers could apply to this set of words? | prompter | en | 3 | true | false | null | false | null | {
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"_skip_reply",
"_skip_ranking"
],
"count": [
3,
1,
8,
2
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0.25,
0,
0,
0,
0,
0.5833333333333334,
0,
0,
0.41666666666666... |
e2c0dff1-cf7c-47eb-a16d-b48062ce7fc2 | 494cd249-a7f3-472e-804c-184dca52bd00 | 7859b9ff-4cd8-463d-8b6f-0d0181fbbc4f | 2023-02-11T03:19:29.597576+00:00 | Here are other potentials for the given words:
1. Squids: similar to octopuses, they may be the answer; however, they have on average 10 total limbs (8 arms and 2 tentacles). They could be contenders because they are underwater creatures that can also release ink, but they are also eaten fried on occasion.
2. Calamari... | assistant | en | 3 | true | false | 0 | false | null | {
"toxicity": 0.00036686277599073946,
"severe_toxicity": 0.0000289208965114085,
"obscene": 0.00019346849876455963,
"identity_attack": 0.0000857618433656171,
"insult": 0.00023355767189059407,
"threat": 0.00003458408536971547,
"sexual_explicit": 0.00002852988473023288
} | bcf108f3-95ea-4998-b661-ec0790cac746 | ready_for_export | {
"name": [
"+1"
],
"count": [
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.33333333333... |
5aa47eab-f8e7-4da1-8333-ecb602087448 | 494cd249-a7f3-472e-804c-184dca52bd00 | 3188cf3a-0598-4fbc-adb6-ac5499ccee4e | 2023-02-11T01:36:33.367314+00:00 | A squid has eight legs, lives in water, can emit ink as a defense mechanism, and can be fried as a food item. | assistant | en | 3 | true | false | 1 | false | null | {
"toxicity": 0.001179456477984786,
"severe_toxicity": 0.000027105748813482933,
"obscene": 0.0003495080745778978,
"identity_attack": 0.00006931318785063922,
"insult": 0.0005291976849548519,
"threat": 0.0000417342598666437,
"sexual_explicit": 0.00004744429679703899
} | bcf108f3-95ea-4998-b661-ec0790cac746 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
1,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.91666666666... |
6e490cb6-af71-4285-8837-52a5c8b88de9 | 494cd249-a7f3-472e-804c-184dca52bd00 | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-02-11T03:15:39.647337+00:00 | There could be other answers that relate to the set of words "8", "water", "ink", and "fried". For example:
"Spider" - Spiders have 8 legs, are commonly found near bodies of water, and some species can release a cloud of silk to obscure their escape.
"Squid" - Squids also have 8 legs and are commonly found in the oce... | assistant | en | 3 | true | false | 2 | false | null | {
"toxicity": 0.0002881398831959814,
"severe_toxicity": 0.00002820656845869962,
"obscene": 0.0001905731623992324,
"identity_attack": 0.00007977959467098117,
"insult": 0.00020880759984720498,
"threat": 0.00003173090590280481,
"sexual_explicit": 0.00003081213071709499
} | bcf108f3-95ea-4998-b661-ec0790cac746 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
3,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.66666666666... |
ae01b1d7-3b4a-4c8f-b531-ebeb5fb7d1a5 | 494cd249-a7f3-472e-804c-184dca52bd00 | d6f6a70f-be99-4095-b3f7-7c64a1f6a737 | 2023-02-11T02:45:01.330954+00:00 | Sorry, but I can't think up another answer, this was a pretty hard question to dealt with. | assistant | en | 3 | true | false | 3 | false | null | {
"toxicity": 0.0002494310028851032,
"severe_toxicity": 0.00010028026736108586,
"obscene": 0.0006434936076402664,
"identity_attack": 0.00021936047414783388,
"insult": 0.0005240568425506353,
"threat": 0.00009052676614373922,
"sexual_explicit": 0.00004734531103167683
} | bcf108f3-95ea-4998-b661-ec0790cac746 | ready_for_export | {
"name": [
"-1"
],
"count": [
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0.3333333333333333,
0,
0,
0,
0,
0,
... |
Subsets and Splits
OpenAssistant Prompt-Response Pairs
Reveals the conversational structure by pairing user prompts with their immediate assistant responses, exposing dialogue patterns and potential conversation flows in the training data.
Prompt-Completion Indonesian Pairs
Reveals the interaction between prompts and completions in Indonesian language, providing insight into the dialogue flow and content.
English Prompt-Completion Pairs
Provides a random sample of prompt-completion pairs in English, which can be useful for evaluating the quality and coherence of assistant responses in a conversational dataset.
English Prompts and Completions
Retrieves pairs of prompts and their corresponding completions in English, providing insight into the interaction patterns between users and assistants.
English Prompts and Responses
Retrieves unique prompt-completion pairs from the dataset, providing a clear view of the interactions between prompts and their corresponding assistant responses.
English User-Assistant Queries
Provides a meaningful sample of user queries and corresponding assistant responses in English, helping to understand the nature of interactions and the quality of responses in the dataset.
User Queries and Responses
This query pairs user queries with corresponding assistant responses, filtering out very short messages, which can help understand the dynamics of user-assistant interactions.
User Queries and Responses
Provides a paired list of user queries and corresponding assistant responses, useful for understanding the interaction patterns in a conversational dataset.
User Queries and Responses
Reveals example dialogues by pairing user queries with corresponding assistant responses, providing insight into how the assistant interacts with users.
User-Assistant Dialogues
Reveals multi-turn conversation patterns, showing how user queries and assistant responses evolve over multiple exchanges, providing useful insights into dialogue dynamics.
Assistant-User-Response Chains
Reveals a sequence of interactions between an assistant and a user, along with the assistant's final response, helping to understand the flow and context of the conversation.
English Parent Messages Only
Retrieves all English top-level posts (those without parent comments) which provides basic filtering but offers limited analytical value beyond identifying standalone content.
Spanish Parent Texts from OpenAssistant Dataset
Filters for Spanish-language posts without parents, revealing standalone posts in Spanish that could be used to understand conversational context in Spanish social media data.
English and Spanish Open Assistant Conversations
Retrieves English and Spanish texts that are root-level posts (no parent_id), which helps identify main discussion threads but doesn't provide deeper analytical insights.
SQL Console for OpenAssistant/oasst1
Retrieves 10 Hungarian language training examples, providing basic dataset sampling but offering no analytical insights or patterns.
SQL Console for OpenAssistant/oasst1
Retrieves top-level posts from a threaded discussion dataset that have no parent replies, providing basic structure information but offering limited analytical insights.
Root English Posts
Filters for top-level English posts in a dataset, showing basic language distribution but providing minimal analytical insights beyond simple data retrieval.
Top 10 English Root Posts
Retrieves the first 10 English root-level posts from the training dataset, providing basic filtering but offering limited analytical insight beyond confirming data structure.
English Root Responses <100 Chars
Retrieves English text entries shorter than 100 characters that are parent posts, providing basic filtering of the dataset.
Root Messages in Train Set
Retrieves records from the train dataset where the parent_id is NULL, providing a basic filter but limited analytical value.
English Prompts Without Parents
Retrieves English prompts from the dataset that do not have a parent, providing a basic view of initial prompts in English.
Unique Languages in Training Set
Lists all unique languages present in the dataset, providing basic information about language diversity.
English Root Validation Entries
Retrieves all English entries without a parent ID, providing a basic filtered view of the dataset.
SQL Console for OpenAssistant/oasst1
Retrieves all English entries without a parent, providing a basic filtered view of the dataset.
SQL Console for OpenAssistant/oasst1
Retrieves all records from the 'train' dataset where the language is Arabic, providing a basic filter of the data.